The Globalization of Cultural Eutrophication in the Coastal Ocean: Causes and Consequences
- 1Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, MD, United States
- 2Marine Environmental Research Center, University of Algarve, Faro, Portugal
Coastal eutrophication caused by anthropogenic nutrient inputs is one of the greatest threats to the health of coastal estuarine and marine ecosystems worldwide. Globally, ∼24% of the anthropogenic N released in coastal watersheds is estimated to reach coastal ecosystems. Seven contrasting coastal ecosystems subject to a range of riverine inputs of freshwater and nutrients are compared to better understand and manage this threat. The following are addressed: (i) impacts of anthropogenic nutrient inputs on ecosystem services; (ii) how ecosystem traits minimize or amplify these impacts; (iii) synergies among pressures (nutrient enrichment, over fishing, coastal development, and climate-driven pressures in particular); and (iv) management of nutrient inputs to coastal ecosystems. This comparative analysis shows that “trophic status,” when defined in terms of the level of primary production, is not useful for relating anthropogenic nutrient loading to impacts. Ranked in terms of the impact of cultural eutrophication, Chesapeake Bay ranks number one followed by the Baltic Sea, Northern Adriatic Sea, Northern Gulf of Mexico, Santa Barbara Channel, East China Sea, and the Great Barrier Reef. The impacts of increases in anthropogenic nutrient loading (e.g., development of “dead zones,” loss of biologically engineered habitats, and toxic phytoplankton events) are, and will continue to be, exacerbated by synergies with other pressures, including over fishing, coastal development and climate-driven increases in sea surface temperature, acidification and rainfall. With respect to management, reductions in point source inputs from sewage treatment plants are increasingly successful. However, controlling inputs from diffuse sources remains a challenging problem. The conclusion from this analysis is that the severity of coastal eutrophication will likely continue to increase in the absence of effectively enforced, ecosystem-based management of both point and diffuse sources of nitrogen and phosphorus. This requires sustained, integrated research and monitoring, as well as repeated assessments of nutrient loading and impacts. These must be informed and guided by ongoing collaborations among scientists, politicians, managers and the public.
During the course of the Twentieth century, increases in anthropogenic inputs of nitrogen (N) and phosphorus (P) to coastal ecosystems via river discharge to coastal ecosystems became the primary cause of eutrophication and consequent ecosystem degradation in coastal ecosystems worldwide (Rabalais et al., 2009, 2010; Paerl et al., 2014), a trend that is arguably the most widespread anthropogenic threat to the health of coastal ecosystems (Rabalais et al., 2009, 2010; IPCC, 2014). The European Union defines cultural eutrophication as The enrichment of water by nutrients, especially compounds of nitrogen and phosphorus, causing an accelerated growth of algae and higher forms of plant life to produce an undesirable disturbance to the water balance of organisms present in the water and to the quality of the water concerned, (European Commission, 1991). Nixon (1995) defined eutrophication as an increase in the rate of supply of organic matter to an ecosystem and noted that increases in the supply of organic matter to coastal ecosystems have various causes, the most common being excess inputs of labile, inorganic N and P.
Organic matter (OM) in coastal ecosystems is derived from both autochthonous primary production and allochthonous inputs from outside the ecosystem. Evidence suggests that the coastal ocean as a whole has become net autotrophic (primary production of organic carbon > respiratory metabolism of organic carbon) due to increases in anthropogenic inputs of inorganic nutrients (Deininger and Frigstad, 2019). This is consistent with the conclusion that increases in autochthonous phytoplankton production are the primary cause of cultural eutrophication in coastal ecosystems (Rabalais et al., 2009; Bauer et al., 2013). Hence, for our purposes, we define the process of cultural eutrophication as increases in the supply of organic matter to an ecosystem that is fueled by anthropogenic inputs of inorganic nutrients where increases in organic matter are most often due to excess1 phytoplankton production.
It is generally agreed that N is the primary cause of eutrophication in most coastal ecosystems2 (Howarth and Marino, 2006; Paerl, 2018). During the last half of the twentieth century, the global supply of dissolved inorganic nitrogen (DIN) doubled due to anthropogenic activities (Boyer and Howarth, 2008; Beusen et al., 2016; Lee et al., 2016). Anthropogenic inputs of N into the global environment (160 Tg N yr–1) now exceed all natural N-fixation in the ocean (140 Tg N yr–1) as well as the proposed planetary boundary3 of 62 Tg N yr–1 (Steffen et al., 2015). By 2050, the anthropogenic production of DIN is expected to be ∼ 2 times higher than in the 1990s (Galloway et al., 2004; Gruber and Galloway, 2008; Jickells et al., 2017). Thus, we focus on N enrichment as a pressure on ecosystem states and the resulting changes in ecosystems states as follows: (i) impacts of anthropogenic N enrichment on coastal ecosystems; (ii) how ecosystem-specific characteristics minimize or amplify these impacts; (iii) synergies between nutrient enrichment and other anthropogenic pressures; and (iv) the management of anthropogenic nutrient inputs and their impacts.
Coastal Ecosystems and Services
Sustainable development depends on healthy ecosystems that provide four categories of services valued by society (Millennium Ecosystem Assessment [MEA], 2005; United Nations Environment Programme [UNEP], 2006; Malone et al., 2014; Culhane et al., 2020):
• Regulating services (e.g., climate control4, prevention of coastal erosion, limiting the extent and impacts of coastal flooding, and maintenance of water quality);
• Provisioning services (e.g., supplies of food, raw materials, and pharmaceuticals;
• Cultural services (e.g., recreational, aesthetic, and spiritual benefits); and
• Supporting services (e.g., presence of critical habitats5 and biodiversity, primary production of organic nutrients, oxic conditions, and optimal nutrient cycling) which underpin the capacity of coastal ecosystems to provide regulating, provisioning, and cultural services.
Coastal eutrophication threatens the provision of these services worldwide. Globally, people are concentrated in the coastal zone (Small and Cohen, 2004; Neumann et al., 2015) where the value of ecosystem services is greatest and where they are most at risk from convergent anthropogenic pressures (Halpern et al., 2008; Barbier et al., 2011; Cooley, 2012; Costanza et al., 2014, 2017; Elliff and Kikuchi, 2015; Solé and Ariza, 2019). Given synergies among these pressures (e.g., Rabalais et al., 2009; Newton et al., 2012; Bergström et al., 2019), management of anthropogenic nutrient enrichment should be implemented with due consideration of multiple pressures, especially over fishing (Worm et al., 2006), coastal development (Martínez et al., 2007), and climate-driven pressures (Huntington, 2006; Hoegh-Guldberg and Bruno, 2010).
Framework for Addressing the Problem of Coastal Eutrophication
Cloern (2001) described the evolution of research on cultural eutrophication during the twentieth Century (phases I and II) and articulated a vision for how the problem can become better understood and managed during the twenty-first Century (phase III). Phase I focused on anthropogenic nutrient inputs as the primary pressure on ecosystems and on the resulting changes in ecosystem states. Phase II expanded this approach to consider nutrient inputs in the context of other pressures including coastal development and over fishing. This underscored the need for ecosystem-based approaches (EBAs)6 to managing pressures on ecosystem services (Imperial and Hennessey, 1996; Levin and Lubchenco, 2008; UNESCO, 2012).
Guided by five questions, Phase III articulates a way forward for the twenty-first century (Cloern, 2001):
(i) How do ecosystem-specific attributes constrain or amplify the effects of anthropogenic nutrient enrichment on ecosystem states?
(ii) How does nutrient enrichment interact with other pressures to alter ecosystem states?
(iii) How are multiple state-changes related to multiple pressures?
(iv) How do changes in ecosystem states impact the health and wellbeing of species, including Homo sapiens?
(v) How can advances in scientific understanding of eutrophication be applied to manage and mitigate the effects of multiple anthropogenic pressures?
The Driver-Pressure-State-Impact-Response model (Bowen and Riley, 2003; Niemeijer and de Groot, 2008; Elliott et al., 2017) provides a framework for understanding the linkages between drivers (e.g., population growth, industrial agriculture, and combustion of fossil fuels) that generate pressures, changes in ecosystem states and services, and human responses to these changes (Figure 1).
Figure 1. The framework is conceptualized in terms of (1) anthropogenic pressures on ecosystem support services that (2) are uniquely modulated by each ecosystem as they perturb (3) ecosystem support services (states), changes in which impact (4) regulating and provisioning services. Human responses to these impacts (5) include efforts to manage and mitigate pressures, to restore supporting services, and to adapt to changes in states (modified after Cloern, 2001).
Global Trends and Patterns
Phytoplankton production is both the foundation of most marine food webs that support provisioning services and a source of excess organic matter that often leads to coastal eutrophication. Today, coastal eutrophication is a global problem (Figure 2), especially in the northern hemisphere, along the western margins of the Atlantic and Pacific Oceans, and in European coastal waters (Howarth, 2008; Nixon, 2009; Rabalais et al., 2009, 2010; Cloern and Jassby, 2010; Cloern et al., 2014).
Figure 2. Global distribution of eutrophic coastal marine ecosystems (adapted from Breitburg et al., 2018). Recent coastal surveys by the United States and the European Union found that 78% of U.S coastal waters and 65% of Europe’s Atlantic coastal waters exhibit symptoms of eutrophication.
In five years (1998–2003), surface chlorophyll-a (Chl)7 concentration increased by 10% in the coastal ocean (Gregg et al., 2005), largely as a consequence of land-based, anthropogenic N inputs (Justić et al., 1995; Jørgensen and Richardson, 1996; IPCC, 2014). Changes in coastal ecosystem states due to coastal eutrophication include:
• The occurrence of dead zones (hypoxic or anoxic8) zones that develop when excess organic matter sinks below the pycnocline9 where it is metabolized by aerobic, heterotrophic bacteria (cf., Malone et al., 1988). The number of oxygen depleted coastal ecosystems has increased globally from < 5 prior to WWII to ∼700 today (Vaquer-Sunyer and Duarte, 2008; Altieri and Diaz, 2019; Diaz et al., 2019), a number that may be an underestimate due to under sampling of the coastal ocean, especially in the southern hemisphere (Altieria et al., 2017; Diaz et al., 2019).
• Harmful algal blooms appear to be increasing in frequency, and there is a growing consensus that cultural eutrophication is at least partially responsible (Anderson et al., 2002; Heil et al., 2005; Glibert et al., 2008; Heisler et al., 2008; Glibert, 2017; Glibert and Burford, 2017).
• Habitat loss is a global problem as warm-water coral reefs have declined by at least 50% (D’Angelo and Wiedenmann, 2014; Hoegh-Guldberg et al., 2017), seagrass meadows by 29% (Orth et al., 2006; Waycott et al., 2009; Deegan et al., 2012), and coastal wetlands (mangrove forests and salt marshes) by 30% (Valiela et al., 2009; Deegan et al., 2012). A common theme accompanying these losses is the impact of anthropogenic nutrient loading.
Sources of Anthropogenic Nitrogen
Over half of the DIN input to coastal ecosystems (including 73% of Large Marine Ecosystems10) is related to anthropogenic sources (Galloway et al., 2004; Howarth, 2008; Lee et al., 2016). An average of ∼20% anthropogenic N inputs to coastal watersheds is exported to coastal ecosystems (Howarth et al., 1996; Howarth, 1998), and Galloway et al. (2004) predict that export will increase by 40–45% by 2050 relative to 2000. Nearly half of this increase is projected to be from South Asia, where industrial agriculture and urbanization are expected to show the greatest increases (Howarth and Marino, 2006; Goldewijk et al., 2011; Lee et al., 2016). Ranked in terms of the magnitude of N loading, major11 anthropogenic sources include:
(i) Synthetic Fertilizers – The largest source of anthropogenic N transported to coastal ecosystems is the use of synthetic fertilizers (Vitousek et al., 1997; Johnson and Harrison, 2015), which has grown exponentially from near zero in 1910 to ∼118 × 109 kg N yr–1 in 2013 (Penuelas et al., 2013; Lu and Tian, 2017). In 2013, southern Asia accounted for 71% of global fertilizer use, followed by North America (11%), Europe (7%), and South America (6%) (Lu and Tian, 2017). Volatilization of ammonia from agriculture fields emits an estimated 10 × 109 kg N yr–1 (8% of the N applied) into the atmosphere (Vitousek et al., 1997; Bouwman et al., 2013).
(ii) Combustion of Fossil Fuels – Emissions from the combustion of fossil fuels release an estimated 25–40 × 109 kg N yr–1 (Penuelas et al., 2013) with Asia, Europe, North America and Sub-Saharan Africa accounting for 30, 20, 17, and 12% of emissions, respectively (Lamsal et al., 2011). As well as being a pressure for eutrophication, nitrous oxide is a potent greenhouse gas (Davidson, 2009).
(iii) Legume Agriculture – Industrial agricultural has replaced large areas of natural vegetation with monocultures of legumes (e.g., soybeans) that support symbiotic N2-fixing bacteria. As a result, inputs of N from biological N-fixation to coastal watersheds has increased from negligible to ∼33 × 109 kg yr–1 (Boyer and Howarth, 2008).
(iv) Animal Husbandry – The production of manure has increased rapidly over the last century. Today, agriculture is responsible for over 75% of the NH3 emissions in the United States and Canada, with animal production accounting for > 70% (Aneja et al., 2001; Bittman and Mikkelsen, 2009). Current loads of manure-N are estimated to be ∼ 18 × 109 kg N yr–1, with production hotspots in western Europe, India, northeastern China, and southeastern Australia where emissions to the atmosphere are growing rapidly (Penuelas et al., 2013; Zhang et al., 2017).
(v) Wastewater – Globally, 80% of municipal wastewater is released into the environment untreated (World Water Assessment Programme [WWAP], 2017). The percentage of treated sewage varies regionally from 90% in North America, 66% in Europe, 35% in Asia, 14% in Latin America and the Caribbean, and <1% in Africa (Selman and Greenhalgh, 2010). Thus, the most prevalent urban source of nutrient pressure is human sewage, which is estimated to have released ∼ 9 ×109 kg N yr–1 into the environment in 2018 (extrapolated from van Drecht et al., 2009).
(vi) Finfish aquaculture – Annual nutrients inputs to the coastal ocean via finfish aquaculture increased worldwide by a factor of 6 from ∼ 0.43 × 109 kg N yr–1 in 1985 to 2.60 × 109 kg N yr–1 in 2005 (Strain and Hargrave, 2005). In contrast, the pressure of nutrient enrichment from bivalve aquaculture is generally small to negligible. In fact, bivalve aquaculture is increasingly being used to offset anthropogenic nutrient pressures (Burkholder and Shumway, 2011; Gallardi, 2014).
Globally, nonpoint (diffuse) source inputs (i-iv above) total ∼200 × 109 kg N yr–1 and far exceed point source inputs (v-vi above) of ∼ 10 × 109 kg N yr–1 or 5% of the total. Thus, our emphasis here is on inputs from diffuse sources.
River runoff and atmospheric deposition account for most anthropogenic N inputs to coastal ecosystems (Figure 3; Howarth et al., 1996; Green et al., 2004; Howarth, 2008; Jickells et al., 2017)12. During the twentieth Century, total riverine inputs of N to the coastal ocean increased from ∼27 × 109 kg N yr–1 to ∼48 × 109 kg N yr–1 (Galloway et al., 2004; Beusen et al., 2016). Globally, there is a significant linear correlation between net anthropogenic N inputs to coastal watersheds and total river borne N export to the coastal ocean (Boyer and Howarth, 2008; Swaney et al., 2012), and we estimate that ∼24% of anthropogenic N inputs to coastal watersheds reaches coastal ecosystems.
Figure 3. Nutrient enrichment pathways () via river runoff, storm water runoff (Urban and Residential Runoff) and atmospheric precipitation; and effects of anthropogenic nutrient enrichment on phytoplankton biomass (Algal Bloom) and consequences of eutrophication, e.g., oxygen depletion of bottom waters (O2↓) (Source: Hans Paerl, University of North Carolina).
Anthropogenic inputs of N to the atmosphere are derived from the volatilization of NH3 from fertilizer and the combustion of fossil fuels (emission of nitrous oxide). Atmospheric deposition of N to the global ocean increased rapidly during the twentieth Century from a pre-industrial rate of ∼ 22 × 109 kg N yr–1 to > 45 × 109 kg N yr–1 today (Dentener et al., 2006; Duce et al., 2008). Of this, it is estimated that atmospheric deposition directly to the coastal ocean is on the order of 8 × 109 kg N yr–1 (Seitzinger et al., 2010; Ngatia et al., 2019), or about 14% of total anthropogenic inputs to the coastal ocean. However, the relative magnitude of direct atmospheric deposition to coastal ecosystems varies from ∼5% in waters most heavily impacted by river borne inputs (e.g., the northern Gulf of Mexico) to ≥ 30% in waters with relatively low river borne inputs (e.g., Baltic, western Mediterranean, mid-Atlantic and northeast U.S.-Canadian Atlantic coastal regions) (Paerl et al., 2002; Spokes and Jickells, 2005).
Patterns and Trends Within Ecosystems
For comparative purposes, we have selected a set of coastal ecosystems that have been impacted by anthropogenic nutrient loading: three open continental shelf ecosystems (northern Gulf of Mexico, East China Sea, and the Great Barrier Reef), three semi-enclosed ecosystems (Baltic Sea, Northern Adriatic Sea, and Chesapeake Bay), and one eastern boundary upwelling system (Santa Barbara Channel in the California Current system). As a group they are subject to a wide range of N inputs (0.07–2.0 × 109 kg N yr–1) and exhibit contrasting capacities to minimize or amplify the effects of anthropogenic nutrient enrichment. Sufficient data and information on anthropogenic nutrient loadings and their impacts for all of these systems have been collected over long enough periods (decades) to parse major pressures, impacts and trends. All seven ecosystems exhibit a range of eutrophic states as indicated by levels of phytoplankton production13 (Table 1), and, with the exception of the Great Barrier Reef, all are in the northern hemisphere (Figure 2).
Table 1. Characteristics of the seven ecosystems (NGM – Northern Gulf of Mexico, ECS – East China Sea, GBR – Great Barrier Reef, BS – Baltic Sea, NA – Northern Adriatic Sea, CB – Chesapeake Bay, Santa Barbara Channel – SBC) compared in terms of ecosystem-surface area (×103 km2), mean DIN load (109 kg N yr–1), mean NPP (g C m–2 yr–1), residence time (months), dilution potential (surface area ×1000 ÷ N load), spatial extent of bottom water hypoxia as a percent of ecosystem area, and the frequency of toxic algal events (x – low, xx – moderate, xxx – high).
Pressures and Changes in States
Northern Gulf of Mexico (NGM)
The NGM (continental shelf off the states of Louisiana, and Texas) has an area of ∼60,000 km2 with depths < 200 m. The Mississippi-Atchafalaya River system is the primary source of fresh water (∼80%) and new14 nutrients (∼90%) to the NGM. Volume transports of the river system range between 220 and 630 km3 yr–1 with a mean of 530 km3 yr–1 (Aulenbach et al., 2007). Depending on river discharge, the spatial extent of the resulting buoyant, nutrient-rich coastal plume varies from 10,000 to 35,000 km2 with a maximum seasonal extent typically during May-June515. On average, the river-system delivers ∼1.3 × 109 kg N yr–1 (Dunn, 1996; Turner et al., 2007). Discharge is lowest on average during September-October and highest during March-April (Dunn, 1996; Dagg and Breed, 2003; Turner et al., 2007). Of this input, it is estimated that denitrification and anammox16 remove 40–50% of nitrate inputs annually (Seitzinger and Giblin, 1996). Direct atmospheric deposition of DIN to the NGM is small (<1%) in comparison (Goolsby et al., 1999).
Riverine inputs of nitrate17 have increased by at least threefold since WW II, with most of this increase occurring between 1970 and 1983 due to increased use of nitrogen fertilizers in the river’s large watershed (Goolsby et al., 1999). Since 1983, annual riverine inputs of DIN have fluctuated between ∼ 0.6 × 109 kg yr–1 in 2000 and ∼ 1.8 × 109 kg yr–1 in 1993. In contrast to N, there has been relatively little change in P discharge by the Mississippi over a similar period so that the N:P ratio of the dissolved nutrient pool is consistently above the Redfield molar ratio of 16 (Redfield, 1958).
Phytoplankton biomass is correlated with the riverine supply of N (Fennel et al., 2011), and the annual cycle of phytoplankton biomass is characterized by a spring maximum and an autumn minimum (Bode and Dortch, 1996; Gomez et al., 2018). Spatially, phytoplankton biomass and NPP vary with salinity as follows (Lohrenz et al., 1997, 1999; Dagg and Breed, 2003; Gomez et al., 2018):
• Near field (oligohaline) where salinity is <18, phytoplankton biomass is ≤5 μg Chl liter–1, and phytoplankton NPP is ≤1 g C m–2 d–1;
• Mid field (mesohaline) where salinity is 18–32, phytoplankton biomass is 3–50 μg Chl liter–1, and phytoplankton NPP is 0.5–13 g C m–2 d–1;
• Far field (polyhaline) where salinity is > 32, phytoplankton biomass is 0.1–10 μg Chl liter–1, and phytoplankton NPP is 0.2–3 g C m–2 d–1).
The spring bloom in the mesohaline fuels the development of an extensive hypoxic zone that is generally confined to a relatively thin (1–4 m) bottom boundary layer over the inner shelf from March to October (Dagg et al., 2007; Justić et al., 2007; Fennel and Testa, 2019). Seasonal hypoxia began expanding in the 1950s with rapid increases in the time-space extent of hypoxia during the 1970s (Rabalais and Turner, 2019). The spatial extent of hypoxia over the shelf has varied between < 5,000 km2 in 2000 and 22,720 km2 in 2017 with a mean of 13,700 km2 making it one of the largest open shelf hypoxic zone in the world (Rabalais and Turner, 2019; Figure 4). Seasonal hypoxia has resulted in losses of benthic biodiversity and biomass as longer-lived species are eliminated (Committee on Environment and Natural Resources [CENR], 2000; Rabalais and Turner, 2019).
Figure 4. Mississippi-Atchafalaya River Basin and the frequency (percent occurrence) of mid-summer bottom-water hypoxia off the coast of Louisiana and Texas during 1985–2008 (inset) (Source: Center for Agricultural and Rural Development, Iowa State University).
In addition to bottom water hypoxia, increases in nutrient loading appears to be promoting the growth of potentially toxic phytoplankton. The dinoflagellate Karenia brevis is the primary toxic species in the NGM where it is ubiquitous at background levels of < 1 cell ml–1 (Steidinger et al., 1998). Blooms of K. brevis (>10 cells ml–1) occur almost annually off the west coast of Florida, but historically have occurred less frequently along the Texas coast (Hetland and Campbell, 2007). The abundance of Pseudo-nitzschia spp. has increased over the shelf since the 1950s, a trend that may be related to the long-term increase in nutrient loading (Dortch et al., 1997; Parsons and Dortch, 2002; Baustian et al., 2016). Peaks in the abundance of potentially toxin-producing dinoflagellates (Dinophysis spp. and Prorocentrum spp.) have been observed to develop in concert with the spring peak in river flow (Bargu et al., 2016).
East China Sea (ECS)
The ECS has an area of ∼750,000 km2, 75% of which is < 200 m deep. With a mean volume transport of ∼ 900 km3 yr–1 (Liu et al., 2003), the Changjiang (Yangtze) River accounts for > 90% of river runoff and is the largest source of nutrient loadings to the ECS (Yan et al., 2010; Wu et al., 2011; Tong et al., 2015). The annual cycle of flow is characterized by a summer maximum and a winter minimum (Chen et al., 2016). Under high summer flows, the River’s coastal plume spreads eastward over an area that can cover as much as 30% of the ECS in contrast to the winter low flow period when the plume is confined to a narrow band along the coast south of the River’s mouth (Dong et al., 2010; Tong et al., 2015).
Riverine inputs of N have been increasing since the 1960s (Zhou et al., 2008; Chen et al., 2019). Despite the Three Gorges Dam, which began storing water in 2013, inputs of DIN from the Changjiang increased by nearly an order of magnitude from 0.220 × 109 kg N yr–1 in 1970 to 2.0 × 109 kg N yr–1in 2012 (Tong et al., 2015; Lin et al., 2017; Strokal et al., 2020). N-fixation contributes only ∼ 0.013 × 109 kg N yr–1or < 1% of riverine inputs (Zhang R. et al., 2012). Losses of N via denitrification and anammox are estimated to be equivalent to riverine inputs of anthropogenic DIN (Lin et al., 2017). At the same time, the dam has reduced the mass transport of suspended matter and, therefore, the input of P to the ECS (Xu et al., 2015). As a consequence, N:P molar ratios have increased to >100 (Huang et al., 2019).
Dissolved nutrients are also delivered to the ECS by the Taiwan Warm Current (TWC), the Kuroshio, and atmospheric deposition (Chen, 1996, 2008; Zhang et al., 2019). Atmospheric deposition of N directly to the ECS in 2012 is estimated to have been ∼80% of riverine inputs. Eutrophication caused by nutrient inputs from the Changjiang are most pronounced in the near field plume (salinity < 30) over the inner shelf (0–50 m) while inputs from the TWC dominate the mid-field (salinity 31–32) over the mid-shelf (50–100 m) and inputs from the Kuroshio dominate the far field (salinity > 32) over the outer shelf (100–200 m) (Wang et al., 2014). Atmospheric deposition is distributed over the entire ECS (Zhang et al., 2019).
The annual cycle of NPP is characterized by a summer maximum and a winter minimum. Interannual variations (1998–2007) in the spatial extent of high Chl are driven by variations in river discharge (Xiuren et al., 1988; Kim et al., 2009). Increases in discharge have led to increases in NPP, increases in the abundance of small phytoplankton (<20 μm) and dinoflagellates, and decreases in diatoms in the coastal plume (Zhou et al., 2008; Li et al., 2019). While an interannual trend in Chl for the ECS as a whole (1996–2014) is not apparent (O’Reilly, 2017), Chl levels in the coastal plume have increased as anthropogenic nutrient inputs increased while Chl in the far field decreased due to increases in vertical stratification as the upper ocean warms (Kong et al., 2019). As the plume spreads and mixes with open shelf water, Chl concentrations decline from high levels (>10 mg m–3) in the plume to low levels (<0.5 mg m–3) in oligotrophic open shelf waters, a pattern that is driven by the riverine supply of nutrients (Wang and Wang, 2007; Chen, 2008; Mackey et al., 2017).
NPP in the plume is the primary source of particulate organic matter to the ECS (Zuo et al., 2016). As the Changjiang plume flows over ambient ocean water and the surface layer warms, the water column becomes increasingly stratified and this supply of organic matter fuels bacterial oxygen demand causing bottom waters to become hypoxic (Rabouille et al., 2008; Liu et al., 2015; Wang et al., 2016; Zuo et al., 2016; Qian et al., 2107). Persistent summer hypoxia causes high mortality rates among sessile benthic species and reduces recruitment to economically important fish populations (Levin et al., 2009).
Hypoxia was first reported in 1959 (Zhu et al., 2011). Interannual increases in NPP has led to increases in the spatial extent of bottom water hypoxia over the inner shelf from ∼1,800 km2 in 1959 to ∼ 13,700 km2 in 1999 and > 15,400 km2 in 2006 (Levin et al., 2009; Li et al., 2011; Wang et al., 2015; Qian et al., 2107), a trend that has been attributed to elevated nutrient inputs due to fertilizer use in the Changjiang watershed (Wu et al., 2019). Bottom water hypoxia now covers > 15% of the ECS making it one of the largest coastal hypoxic zones in the world (Chen et al., 2007; Wang et al., 2016; Zhu et al., 2016).
Intrusions of nutrient-rich oceanic water from the Kuroshio also contribute to the development of hypoxia. The hypoxic region north of 30° N is dominated by Changjiang inputs, with its N loads supporting 74% of oxygen consumption; south of 30°N, oceanic nitrogen sources become more important, supporting 39% of oxygen consumption during the hypoxic season, but the Changjiang remains the main control on hypoxia formation also in this region (Große et al., 2020). The importance of oceanic nutrient supply distinguishes hypoxia in the ECS from the otherwise comparable situation in the NGM, where a similar spatial extent of hypoxia is fueled by riverine inputs of anthropogenic nutrients from the Mississippi-Atchafalaya River system (Fennel and Testa, 2019).
In addition to the impacts of hypoxia, increases in the N:P molar ratio promote blooms of toxic dinoflagellates (Glibert et al., 2018; Huang et al., 2019). Reported toxic algal events along the coast increased from undetected in the 1950s and 60s to 10 in the 70s, 25 in the 80s, and > 100 in the 90s (Yan et al., 2002). During 2000–2006, the trend continued with most events occurring during summer (Yan et al., 2010) in Zhejiang coastal waters, particularly in the Zhoushan Archipelago which is home to the largest marine fishery in China (Wang and Wu, 2009). Particularly, large scale blooms (covering an area > 1,000 km2) have been recorded every year since 1998, and the dinoflagellate Prorocentrum donghaiense has become the recurrent bloom species for more than 10 years (Li et al., 2014; Lu et al., 2014). Blooms of other potentially toxic dinoflagellates (Karodinium veneficum, Karenia mikimotoi, K. veneficum, Alexandrium tamarense, A. catenella, and Heterosigma akashiwo) have also been observed (Lu et al., 2014; Zhou et al., 2015; Wang Y.-F. et al., 2018). Toxic dinoflagellate blooms have resulted in millions of dollars of lost fish landings (Tang et al., 2006; Zhou et al., 2008; Li et al., 2014; Mackey et al., 2017; Glibert et al., 2018; Wang R. et al., 2018; Chen et al., 2019).
Eutrophication may also be an important factor contributing to increases in jellyfish abundance and blooms (Mills, 2001; Purcell et al., 2007; Diaz and Rosenberg, 2008; Richardson et al., 2009; Dong et al., 2010; Condon et al., 2011; Brotz et al., 2012; Boero et al., 2016). Three jellyfish species (Aurelia aurita, Cyanea nozakii, and Nemopilema nomurai) form large blooms, the frequency of which has been increasing since the 1950s (Dong et al., 2010; Brotz et al., 2012). N. nomurai, the giant jellyfish, is arguably the most serious threat to fisheries since it is most abundant in the Changjiang plume where it preys on juvenile fish (Sun et al., 2015).
Great Barrier Reef (GBR)
With a surface area of 344,000 km2 and depths of < 50 m, Australia’s GBR is the Earth’s largest reef system. As the reef developed over the last 20,000 years on the continental shelf, it formed a large coastal lagoon (<40 m deep) into which rivers discharge from 35 watersheds (total mean discharge of 70 km3 yr–1). Today, rivers are the largest single source of new nutrients to the lagoon (Furnas et al., 1997; Brodie et al., 2011, 2012; Devlin et al., 2015), and elevated nutrient concentrations are measurable at distances of hundreds of kilometers from river mouths (Devlin and Brodie, 2005). Riverine inputs are characterized by episodic peaks in flow with most volume transport occurring during November–April when large flow events are most frequent and > 90% of land-based nutrient inputs occurs (Brodie et al., 2011).
Since European settlement, annual riverine inputs of N and P to the lagoon have increased from ∼ 0.014 × 109 kg N yr–1 to 0.080 × 109 kg N yr–1 and from 1.8 × 106 kg P yr–1 to 16 × 106 kg P yr–1 (Brodie et al., 2009; Kroon et al., 2012). The form of N delivered has also changed from predominantly dissolved organic nitrogen (DON) to predominantly DIN (Harris, 2001; Brodie and Mitchell, 2005). In addition to riverine inputs, N-fixation supplies 0.01–0.21 × 109 kg N y–1, rainfall 2.7 × 106 kg N y–1, and upwelling 0.001–0.004 × 109 kg N y–1 (Furnas et al., 1997, 2011; Benthuysen et al., 2016). Export via denitrification is estimated to be in the range of 0.016–0.024 × 109 kg N y–1 (Furnas et al., 2011) or about 25% of total inputs.
Long-term monitoring data show that hard coral cover on the GBR has reduced by > 70% over the past century Bell et al., 2014). Waters of the lagoon become progressively more productive as they flow through the reef system, an increase that is attributed largely to benthic N-fixation (Bell et al., 2014). Current levels of nutrient enrichment support Chl concentrations that range from annual means of < 0.3 μg liter–1 to 0.7 μg liter–1 (Brodie et al., 2007). Under flood conditions during April–November, peaks in river discharge support phytoplankton blooms in the central and southern lagoon that yield Chl concentrations of 1–20 μg liter–1 (Devlin and Brodie, 2005; Devlin and Schaffelke, 2009; Brodie et al., 2009, 2010; McKinnon et al., 2013). Nutrient-driven increases in phytoplankton biomass and macroalgal cover have been shown to be associated with long term coral reef decline (De’ath and Fabricius, 2010; D’Angelo and Wiedenmann, 2014). Clear water18 and low macroalgal cover promote high coral species richness (De’ath and Fabricius, 2010). There is growing evidence that Acanthaster planci19 predation events and coral bleaching are exacerbated by eutrophication and that the lack of recovery of the reefs is primarily a consequence of high phytoplankton biomass (Bell et al., 2014; Allen et al., 2019). Thus, 23% of the reef system has been degraded in areas with Chl concentrations > 0.2 μg liter–1, concentrations that are considered to be indicative of eutrophication in the GBR lagoon (Bell, 1992; Bell et al., 2014). De’ath and Fabricius (2010) predict that reducing agricultural runoff could reduce macroalgal cover by 39% and increase the species richness of hard corals and phototrophic octocorals by 16 and 33%, respectively.
N:P ratios are consistently < 16 and many processes in coral reefs are nitrogen limited (Furnas et al., 2005), and increases in river-borne inputs of P have promoted the growth of Trichodesmium spp. and other N-fixing organisms that introduce new N into the lagoon-reef system at rates that are far higher now than in the past (Bell and Elmetri, 1995; Bell et al., 1999; Messer et al., 2017; Blondeau-Patissier et al., 2018). This additional input of new N appears to be enhancing increases in phytoplankton biomass above that expected based on riverine inputs of N alone, and there is evidence that this is a significant factor in the demise of fringing reefs in the inner GBR lagoon (Bell and Elmetri, 1995; Brown et al., 2018). In addition, blooms of Trichodesmium spp. are known to be a source of ciguatera in the ciguatera food chain20 (Kerbrat et al., 2011), and several genera of potentially toxic dinoflagellates have also become abundant in the lagoon (Gambierdiscus, Prorocentrum and Ostreopsis), a trend that may be driven by the ongoing eutrophication of the lagoon (Skinner et al., 2013).
Baltic Sea (BS)
The BS has an area of 420,000 km2 with a basin that has a mean depth of ∼54 m, a number of sub-basins (>150 m deep), and a shallow sill (<20 m) in the Danish Straits separating it from the North Sea and Atlantic Ocean. Of the 250 rivers flowing into the Baltic, seven account for ∼ 45% of the total flow (∼ 455 km3 yr–1) (HELCOM, 2011), most of which occurs in the eastern BS. As a consequence, surface salinity gradually increases from 2 to 4 in the northeastern Gulf of Bothnia between Sweden and Finland to 18–26 in the southwestern Kattegat between Denmark and Sweden (Gustafsson and Westman, 2002; Elmgren et al., 2015). In winter, the water column is mixed down to a permanent halocline (40–80 m). In summer, a seasonal thermocline forms above the permanent halocline and a three-layered structure develops with a warm and low salinity surface layer, a higher salinity intermediate layer of cold water, and an oxygen depleted bottom layer of warmer and saltier water (Liblik and Lips, 2019).
Rivers account for ∼70% of anthropogenic nutrient inputs to the Baltic, and concentrations of DIN are highest in coastal waters from the Belt Sea in the southwest to the Gulfs of Finland and Bothnia to the northeast (HELCOM, 2018a; Sonesten et al., 2018). Flow generally peaks during April–June and is relatively low during August–January (Hordoir and Meier, 2010). Nutrient inputs were high during 1995–2002 (0.65–0.90 × 109 kg N yr–1 and 33–43 × 106 kg P yr–1) compared to 2003–2015 (0.50–0.78 × 109 kg N yr–1 and 22–35 × 106 kg P yr–1). N input via N-fixation by cyanobacteria is estimated to be ∼ 0.40 × 109 kg N yr–1 (Olofsson et al., 2020), nearly equivalent to riverine inputs. Atmospheric deposition also declined during this period from ∼0.30 × 109 kg N yr–1 in 1995 to 0.21 × 109 kg N yr–1 in 2011. Relatively low inputs via river discharge and wet precipitation during 2003–2015 were due to dry periods with low river runoff (2003, 2014, 2015). Denitrification removes an estimated 42–96% of riverine nitrate inputs annually (Dalsgaard et al., 2013), and, over the long term, anthropogenic nutrient enrichment has led to accumulations of phosphorus (P) in benthic sediments to an extent that internal releases of P to the water column under anoxic conditions off-sets reductions in land-based inputs of anthropogenic P (Gustafsson et al., 2012).
Mean Chl concentrations remained < 1 μg liter–1 from 1880 to 1950 and increased to 2–4 μg liter–1 during 1990–2009 (Hieronymus et al., 2018). Two seasonal bloom periods characterize most of the BS, spring blooms of diatoms and dinoflagellates and cyanobacterial blooms in late summer (Spilling et al., 2018). N assimilation during the spring bloom leads to a low N:P ratio during summer which favors N-fixing cyanobacteria during warm, calm summer months (Wasmund et al., 2001, 2005). Summer cyanobacterial blooms have been intensifying since 1982, a trend that is correlated with increases in anthropogenic P loading and the magnitude of hypoxia (Pliñski et al., 2007; Funkey et al., 2014; Savchuk, 2018).
Hypoxic bottom water in the Baltic proper (Gotland Sub-Basin) has been present for at least the last 100 years, but increased in spatial and temporal extent over the last 3 decades (Duncombe, 2018) as the buoyancy of the surface layer above the permanent halocline increased due to increasing temperature and decreasing salinity (Liblik and Lips, 2019). During 1993–2016, the spatial extent of hypoxic bottom water in the main basins of the Baltic (Figure 5) increased from ∼5,000 km–2 (1.3% of the Baltic) to ∼ 70,000 km–2 (19% of the Baltic) (Jokinen et al., 2018; Limburg and Casini, 2019). At its maximum extent, the spatial extent of hypoxia is the largest anthropogenically enhanced hypoxic zone in the world (Schmale et al., 2016).
Figure 5. Spatial distribution of bottom hypoxia (red) and anoxia (black) in the Baltic Sea in 2012 (annual mean modified from Carstensen et al., 2014).
Benthic communities have been severely impacted by increases in phytoplankton biomass due to the rapid attenuation of sunlight with depth in the surface layer and hypoxia in the bottom layer (HELCOM, 2009). Impacts include the following:
• Declines of seagrasses and intertidal brown algae – The present spatial distribution of eelgrass (Zostera marina) constitutes only about 20–25% of that present in 1900, and the depth limit of the brown macroalgal species Fucus vesiculosus has declined significantly since the 1960s.
• Decline of benthic macrofauna – Hypoxia has resulted in habitat loss and the elimination of benthic macrofauna over vast areas disrupting benthic food webs. Currently, macrobenthic communities are severely degraded and below a 40-year average in the entire Baltic Sea. It is estimated that the missing biomass of benthic animals due to hypoxia is equivalent to ∼264,000 metric tons of carbon annually which represents ∼30% of the Baltic’s total secondary production (Diaz and Rosenberg, 2008). Thus, cod has experienced a marked decline in mean body condition (weight at a specific length) (Limburg and Casini, 2019), a trend that has made cod more susceptible to predation by seals, infections by parasites, and competition from flounder. At the same time, nutrient enrichment has enhanced the biomass of forage fish by up to 50% in some years and areas due to increased body weight (Eero et al., 2016).
• Increased abundance of N-fixing cyanobacteria – Seasonal hypoxia not only impacts aerobic benthic and pelagic animals, it also promotes increases in the abundance of N-fixing cyanobacteria (Nodularia spumigena). The enhanced downward flux of degradable organic matter from phytoplankton blooms fuels oxygen demand and the regeneration of P in bottom waters creating a positive feedback between anthropogenic nutrient enrichment, N-fixation by cyanobacteria, and oxygen depletion (Figure 6). In addition to being a significant source of new N to the BS, Nodularia spumigena has the capacity to produce hepatotoxins that can cause liver damage in humans (Sipiä et al., 2002; van Apeldoorn et al., 2007; Mazur-Marzec and Pliñski, 2009). Thus, their harmful effects include both oxygen depletion and the production of toxic metabolites.
Figure 6. The positive feedback between anthropogenic inputs of N and P, N-fixation by cyanobacteria, increases in NPP, and oxygen depletion driven by the release of P from benthic sediments under low oxygen conditions (NPP, net phytoplankton production; BOD, biological oxygen demand).
Northern Adriatic Sea (NA)
With an area of 18,900 km2, the continental shelf of the NA is a relatively flat platform that extends from the coastline to a water depth of 100 m (mean depth = 33.5 m). A progressive increase in eutrophication began in the early 20th C, continued to ∼ 1978, and subsequently began to decrease (Sangiorgi and Donders, 2004). The Po River accounts for most inputs of freshwater and nutrients with minor contributions from the Soča (Isonzo) and Adige Rivers (Pettine et al., 1998; Cozzi and Giani, 2011). The annual cycle of Po River discharge is characterized by seasonal peaks during April-June and September–December with minimum flows during August (Marini et al., 2008). During May–September when the water column is well stratified, the plume of the Po River spreads across much of the northern basin and maintains a wide cross-shelf profile as it flows southward. The volume transport of the Po during 1970–2002 fluctuated around 47 km3 yr–1 with a minimum discharge of ∼30 km3 yr–1 and a maximum discharge of ∼80 km3 yr–1 (Giani et al., 2012; Montanari, 2012; Ninfo et al., 2018). A marked decrease in the flow of the Po River occurred during 2003–2007 due to a prolonged drought (Cozzi and Giani, 2011; Djakovac et al., 2015).
Diffuse sources account for 80% of N input and 93% of P input (European Topic Center [ETC], 2016). Prior to the drought years, river borne transports of N and P to the NA reached 0.262 × 109 kg TN yr–1 and 11.1 × 106 kg TP yr–1. These inputs decreased by 50–70% during the drought years, but returned to their pre-drought levels in subsequent years (Cozzi and Giani, 2011; Giani et al., 2012). N-fixation does not contribute significantly to the N budget, and denitrification accounts for ∼ 42% of N losses (∼ 0.10 × 109 kg yr–1) or ∼40% of the riverine N inputs (Degobbis and Gilmartin, 1990).
Phytoplankton NPP and biomass are highest in the Po River plume (Figure 7; Degobbis et al., 2000; Fiori et al., 2016), and annual cycles mirror the annual cycle of river flow while annual cycles in oligotrophic waters beyond the plume have a relatively small amplitude with small peaks during October-November (Revelante and Gilmartin, 1992; Harding et al., 1999; Mozetič et al., 2010). Chl concentrations ranged from 4 to 35 μg liter–1 in the plume to 1–4 μg liter–1 in offshore waters of the central NA and were < 1 μg liter–1 in coastal waters of the eastern NA (Polimene et al., 2006; Solidoro et al., 2009; Mozetič et al., 2010). Phytoplankton blooms in the coastal plume of the Po are dominated by large diatoms (>20 μm) interspersed by diverse assemblages of nanoflagellates (<20 μm) with small dinoflagellate blooms during spring-summer. Small phytoplankton dominate in more oligotrphic waters outside the plume where microbial food webs predominate (Polimene et al., 2006). Coccolithophores are minor but regular inhabitants of these phytoplankton communities (Bernardi-Aubry et al., 2004; Totti et al., 2005, 2019).
Figure 7. The high phytoplankton biomass (red – high, blue – low) footprint of the coastal plume of the Po River in the northern Adriatic Sea.
The 2003–2007 drought resulted in marked decreases in phytoplankton NPP and Chl. Concentrations of nutrients and Chl remained low after higher river discharges returned during 2008–2016, possibly due to improved control of nutrient loads to the watershed (Totti et al., 2019). However, greater intrusions of high salinity, oligotrophic waters from the eastern Mediterranean Sea also played a role (Solidoro et al., 2009). More recent observations suggest that phytoplankton biomass may be increasing in the southern reaches of the western NA where both DIN and DIP concentrations have been increasing (Totti et al., 2019).
Sedimentation of phytoplankton biomass to the benthos, estimated to be 25–30% of phytoplankton NPP, fuels high biological oxygen demand in bottom waters from late spring to early autumn (Staresinié et al., 1982; Alvisi and Cozzi, 2016). During this period, dissolved oxygen levels in bottom water are low and episodes of bottom water hypoxia occur frequently. The timing, duration and spatial extent of these episodes varies from year-to-year. During 1972–2012, the frequency of hypoxic events was high each year from 1988 to 1991, especially in the western NA (Djakovac et al., 2015). While hypoxia is related to phytoplankton blooms induced by riverine inputs of nutrients during spring and autumn, summer hypoxia occurs during periods of low runoff suggesting that strong vertical stratification and weak circulation promoted hypoxic events during summer (Alvisi and Cozzi, 2016). Hypoxic zones range in spatial extent from several km2 to 4,000 km2 and ultimately affect most of the NA (Riedel et al., 2008). Thus, repeated episodes of hypoxia caused mass mortalities of benthic macrofauna during the 1970s and 1980s, the largest of which were caused by anoxic episodes during the summers of 1974, 1977, 1983, 1988, and 1989 (Fedra et al., 1976; Stachowitsch, 1984; Ott, 1992).
In addition to phytoplankton sedimentation, the formation and deposition of macro-aggregates (“mucilage” or mare sporco) of organic matter rich in bacteria also fuels high biological oxygen demand, anoxia and mass mortalities during May-September (Degobbis, 1989). Mucilage episodes are unique to the NA in terms of the size of macro aggregates (up to 3 m across) and their abundance and spatial coverage (hundreds of km2 in both coastal and offshore waters). Episodes have occurred sporadically since the seventeenth century (Fonda Umani et al., 1989; Sellner and Fonda Umani, 1999; Giani et al., 2005), but increased in frequency during 1980–2004 (Danovaro et al., 2009). Major episodes (2–6 weeks in duration) occurred annually during 1988–1991, 1996–1998, and 2000–2004. Following a prolonged episode from December, 2006 through April, 2007, episodes of relatively short duration were recorded in 2014 (August) and 2018 (July–August). Although these episodes tend to occur following increases in river runoff, and mucilage production occurs during diatom blooms (McKinney, 2007), anthropogenic nutrient enrichment may not be directly responsible (Degobbis et al., 2005).
Since the 1990s, many toxic or potentially toxic phytoplankton species have inhabited the NA including dinoflagellates (e.g., Dinophysis spp., Alexandrium minutum, Noctiluca scintillans, Protoceratium reticulatum, Gonyaulax spinifera, and Lingulodinium polyedrum), diatoms (Psedo-nitzschia spp.), and a raphidophyte (Fibrocapsa japonica) (Sellner and Fonda Umani, 1999; Fonda Umani et al., 2004; Mikaelyan et al., 2014; Corriero et al., 2016). The first occurrence of human intoxication due to the consumption of bivalves contaminated with diarrhetic shellfish poisoning (DSP) toxins was documented in 1989 (Pistocchi et al., 2012). The first detection of bivalves contaminated by toxins produced by a bloom of Alexandrium minutum that cause paralytic shellfish poisoning (PSP) was in 1994 (Honsell et al., 1996). Domoic acid, produced by the diatom Pseudo-nitzschia spp., is a potentially lethal phycotoxin that causes amnesic shellfish poisoning (ASP), and was first detected in bivalve-tissue in 2006 (Ujević et al., 2010). Bivalves farmed in coastal waters of Emilia Romagna and in Slovenian mariculture areas have also been contaminated frequently by Dinophysis spp. toxins (okadaic acids and dinophysitoxin) that cause DSP (Francé and Mozetič, 2006; Pistocchi et al., 2012). Alerts due to the presence of biotoxins in the Gulf of Trieste increased steadily from 10 yr–1 in 2005 to 60 yr–1 in 2010 and then declined to 1 yr–1 in 2013 and 2014 (Lipizer et al., 2017).
Given the pattern of interannual variations in river flow and associated nutrient inputs described above, it is unlikely that the frequency of toxic phytoplankton episodes is related directly to the magnitude of nutrient enrichment per se. However, relative inputs of N and P can affect the abundance of potentially toxic phytoplankton as well as toxin production (Glibert et al., 2014; Glibert and Burford, 2017). Many marine dinoflagellate species are more abundant and toxic when N is in stoichiometric excess over P (N:P > 16), as is the case in the Northern Adriatic where N:P ratios have increased from a mean of 64 during the 1960s to > 100 in more recent years.
Main Stem of Chesapeake Bay (CB)
CB is a long, narrow system (315 km long and 5.6–56 km wide) with a surface area of 11,600 km2 (Xiong and Berger, 2010) and three salinity zones (Harding et al., 2019): oligohaline < 5–18, mesohaline 5–18, and euryhaline > 18. A relatively deep (10–50 m) central channel runs the length of the mesohaline zone. The Susquehanna River discharges directly into the oligohaline zone and, with a mean flow of 36 km3 yr–1 (range 20–60 km3 yr–1), accounts for 60–90% of the freshwater input to CB (Schubel and Pritchard, 1986; Zhang et al., 2013). Except for the effects of tropical storms, the volume transport of the Susquehanna has a well-defined annual cycle with maximum flow during late winter-early spring and low flow during summer. Large interannual variations occur (20–60 km3 yr–1) in both the magnitude and timing of seasonal maximum and minimum flows.
The Susquehanna drives an estuarine circulation characterized by seaward transport of low salinity surface water and landward (counter) transport of higher salinity bottom water, a circulation pattern that increases the residence time of nutrients in the Bay (Pritchard, 1967; Shen and Wang, 2007; Du and Shen, 2016). Peak flow during winter-spring sets up buoyancy-induced vertical stratification that persists into early fall, with high flow years having a stronger halocline separating upper and bottom layers (Boynton and Kemp, 2000; Kemp et al., 2005).
Dissolved nitrate accounts for most input of new N while most P input is associated with the input of suspended sediments (Boynton et al., 1995; Zhang et al., 2013). It is estimated that N and P loads increased by factors of 7 (N) and 13 (P) between the beginning of the Anthropocene21 and 1985–86 when loads reached 0.081 × 109 kg N yr–1 and 3.75 × 106 kg P yr–1 (Boynton et al., 1995; Boynton and Kemp, 2000). N loading during 1945–2011 increased from 1945 to around 1990, followed by a steady decline (Zhang et al., 2013). Mean inputs during 1978–2011 were 0.071 × 109 kg N yr–1 and 3.3 × 106 kg P yr–1 (Hirsch, 2012). Relative to riverine inputs, inputs from direct precipitation to the Bay are small (7% of TN and 15% of TP). N-fixation is assumed to be negligible (Marino et al., 2002), and benthic denitrification that is estimated to remove ∼ 0.034 × 109 kg N yr–1 or ∼40% of annual riverine N inputs (Feng et al., 2015).
The annual cycle of phytoplankton biomass in the Bay features a large spring bloom which is most pronounced in the mesohaline Bay where integrated water column Chl can exceed 1,000 mg m–2 (Malone et al., 1988, 1996) due to phytoplankton growth, the concentrating effect of the two-layered estuarine circulation on phytoplankton biomass, and low grazing pressure (Malone et al., 1988, 1996; White and Roman, 1992). The spring bloom is dominated by large diatoms that deplete nitrate and silicate in surface waters and have high sinking rates (Conley and Malone, 1992) resulting in the deposition of phytoplankton biomass to bottom waters and benthic sediments (Malone et al., 1988; Harding et al., 2002). Remineralization of this organic matter during summer results in oxygen depletion and a large efflux of dissolved phosphate and ammonium into bottom waters which gradually mix into surface waters (Boynton et al., 1995; Boynton and Kemp, 2000) where they fuel local, episodic summer blooms of small diatoms, chlorophytes, cyanobacteria, dinoflagellates, and picophytoplankton (Malone, 1991; Adolf et al., 2006; Marshall et al., 2009). For the most part, summer blooms are confined to the euphotic zone and there is relatively little sedimentation to the benthos. Consequently, the positive feedback that characterizes the Baltic (Figure 5) is not well developed in CB.
• Oligohaline – The annual cycles of phytoplankton biomass and NPP are seasonally in phase with maxima during July–August when Chl in the euphotic zone reaches ∼ 40 mg m–2 and NPP reaches ∼1200 mg C m–2 d–1.
• Mesohaline – The annual cycles are out of phase with biomass typically peaking during April–May Chl (80–100 mg Chl m–2) and NPP peaking during July (>2000 mg C m–2 d–1); a second, lower peak in Chl (60–80 mg m–2) often occurs in November.
• Polyhaline – The annual cycles are out of phase with biomass typically peaking in May (∼60 mg m–2) and NPP in September (∼1700 mg m–2 d–1).
Seasonal to interannual variations in riverine N input regulate the distribution of phytoplankton biomass in both time and space (Harding et al., 2020), consistent with the conclusion that P limitation occurs predominantly in the oligohaline reach of the Bay, while N limits phytoplankton biomass and NPP on the scale of the CB ecosystem (Malone et al., 1996). Anthropogenic nutrient loading led to a 5- to 10-fold increase of surface Chl in the polyhaline salinity zone and a 1.5- to 2-fold increase in the oligohaline and mesohaline zones from the 1950s to the 1990s (Harding et al., 2002, 2020). However, while euphotic zone Chl continued to increase in the oligohaline and mesohaline zones during 1985–2015, no trend was observed in the polyhaline zone (Harding et al., 2020).
Dissolved oxygen in bottom waters declines rapidly during April-May leading to hypoxic bottom water during July–September throughout most of CB, with hypoxia and anoxia developing in the deep channel of the mesohaline (Figure 8; Officer et al., 1984; Li et al., 2015). This cycle is driven by the spring bloom and bacterial decomposition of phytoplankton biomass deposited during the course of the bloom (Malone, 1991; Smith and Kemp, 1995). Summer bottom water hypoxia has been documented in the mesohaline salinity zone throughout the twentieth century and, while interannual variability is substantial, the volume of hypoxia has increased significantly since WWII as anthropogenic N loading to the Bay increased (Brush, 2009; Murphy et al., 2011; Li et al., 2016; Testa et al., 2017). Under current conditions, it is estimated that the missing biomass of benthic animals due to hypoxia is equivalent to ∼ 10,000 metric tons of carbon annually which represents ∼5% of the Bay’s secondary production (Diaz and Rosenberg, 2008).
Figure 8. Distribution of dissolved oxygen (mg liter–1) along the main axis of Chesapeake Bay in summer, 2000 (modified from Costantini et al., 2008).
In addition, long-term increases in Chl, combined with increases in sediment loading to the Bay, have been linked to bay-wide declines in the spatial extent of seagrass beds during the 1960s and 70s due to reduced light penetration (Orth and Moore, 1983; Kemp et al., 2005). As a result, it is estimated that the spatial extent of seagrass decreased by 46% between the 1930s and the 1990s (Kemp et al., 2005). These decreases persisted through the 1990s (Orth et al., 2010; Harding et al., 2019) but show signs of increasing since ∼2006 during a sustained low-flow period (Testa et al., 2019).
Harmful algal blooms in CB are not a new phenomenon, but they may be increasing in frequency and diversity (Glibert et al., 2001). As in most coastal ecosystems, dinoflagellates account for most toxic or potentially toxic phytoplankton. Prorocentrum cordatum, Karlodinium veneficum, and Margalefidinium polykrikoides have occurred with increasing frequency in recent years (Tango et al., 2005; Li et al., 2015; Reece, 2015; Lin et al., 2018). Beginning in 2007, and blooms of Alexandrium monilatum also began occurring in the lower bay in most summers following blooms of M. polykrikoides (Reece, 2015). P. cordatum, M. aeruginosa and the diatom Pseudo-nitzschia spp. are common throughout the bay; K. veneficum is limited to the oligohaline and mesohaline zones; and Dinophysis acuminata and M. polykrikoides are limited to the mesohaline and polyhaline zones. All species were found in all seasons, but are generally most abundant during summer and fall22.
Coastal Upwelling: Santa Barbara Channel (SBC)
Coastal upwelling centers represent an extreme case of natural new nutrient inputs and are expected to exhibit equally extreme blooms of both benign and toxic phytoplankton (Kudela et al., 2010). Unlike most coastal ecosystems impacted by eutrophication, the physical, chemical, and ecological characteristics of eastern boundary currents, such as the California current system, are dominated by wind-driven coastal upwelling which enriches these waters with nutrients far in excess of riverine inputs of anthropogenic nutrients (Anderson et al., 2008).
The Santa Barbara Channel (SBC) in the Southern California Bight is an elongated ecosystem (4,000 km2) bounded to the north by the California coast, to the south by the Channel Islands 50 km offshore, and by narrow, relatively shallow sills to the west (475 m) and east (200 m) (Bograd et al., 2002). Between these sills lies the Santa Barbara Basin which is periodically flushed with cool, dense, oxygenated water that flows over the western sill and sinks into the basin. Waters below the deepest sill are dysaerobic (dissolved oxygen < 0.1 ml liter–1) between flushing events (Bernhard and Reimers, 1991). Flushing event frequency of deep water is driven by interannual climate (ENSO) variability, which switches the basin between a stagnant water column and a ventilated one, a process that amplifies variability in the magnitude of oxygen depletion (Bograd et al., 2002; Wang et al., 2017).
Upwelling is by far the largest source of nutrients to the SBC ecosystem as a whole, especially during the late spring and early summer (Warrick et al., 2005; Howard et al., 2017). N input via upwelling is estimated to be ∼ 0.21 × 109 kg yr–1, a rate that is 2–3 orders-of-magnitude greater than the riverine inputs during wet, El Nino years (Warrick et al., 2005). The largest river flowing into the Channel is the Santa Clara River with an annual mean flow of 0.16 km3 yr–1. Although total riverine N input is much less than that supplied by upwelling, the timing these inputs are seasonally out of phase with river runoff peaking during winter storms and upwelling during spring-summer (Warrick et al., 2005; Anderson et al., 2008). In addition, upwelling inputs occur at the western end of the basin while riverine inputs occur along the eastern boundary.
Although the distribution of phytoplankton biomass in the SBC is complex, the long-term climatology of surface Chl concentration (derived from satellite ocean color images) reveals two consistent features: (1) maximum biomass north of the Channel Islands and over the Santa Barbara Basin and (2) a second maximum along the coast in the eastern SBC where the continental shelf widens (Warrick et al., 2005; Brzezinski and Washburn, 2011). It is estimated that new production23 from river runoff accounts for 0.03–4% of total new production (river + upwelling) within the SBC. Since upwelling is generally lower during El Niño, river contributions are most significant during these years (∼4% of new production in 1998) (Warrick et al., 2005). However, while high phytoplankton biomass over the basin and north is fueled primarily by upwelling, the near shore maximum to the east is fueled by a combination of mechanisms including upwelling, diurnal internal waves, and river runoff (McPhee-Shaw et al., 2007). Upwelling dominates increases of inner−shelf DIN during March-May and accounts for more than half of annual advective inputs. Internal waves are an important source during summer, and riverine inputs are significant during winter.
The frequency of toxic phytoplankton blooms increased during the first decade of this century (Anderson et al., 2009). Episodic blooms of potentially toxic species (the diatom Pseudo-nitzschia spp. and the dinoflagellate Lingulodinium polyedrum) occur along the coastline of the Southern California Bight including the SBC (Bialonski et al., 2016). Blooms of Pseudo-nitzschia and Lingulodinium tend to occur during spring-summer when upwelling events are most frequent (Schnetzer et al., 2013). However, this does not preclude the possibility that the growth of these algae, their toxicity, and the frequency or duration of toxic events may be exacerbated by anthropogenic nutrient inputs (Anderson et al., 2008). Blooms can occur during fall or winter, presumably fueled by riverine inputs of nutrients (Kudela et al., 2010). Other toxin-producing phytoplankton that occur here include dinoflagellate species from the genera Akashiwo, Alexandrium, Cochlodinium, and Dinophysis.
Bottom water oxygen in the basin has been decreasing since about 1850 due to upper ocean warming (decreases in solubility and vertical mixing) (Wang et al., 2017), and the frequency and duration of hypoxia in California Current waters has been increasing as the Eastern Pacific oxygen minimum zone expands (Stramma et al., 2010; Wang et al., 2017). The spatial extent of oxygen depleted deep water is estimated to be on the order of 800 km2. Low−oxygen water (mean = 0.5 ml liter–1 during 2008–2011) from the oxygen minimum enters the basin over the western sill and is further depleted of oxygen by the decomposition of organic matter from productive surface water fueled primarily by upwelled nutrients and exacerbated by riverine inputs of anthropogenic nutrients (Ohkushi et al., 2013). An indication of the significance of the latter is the observation that dissolved oxygen in nearshore bottom water (within 10 km of the shoreline) has declined by up to four times faster than reported for more offshore waters over the last 15 years (Booth et al., 2014). The trend has been briefly interrupted when dense oxygenated water flows into the basin during transitions from El Niño to La Niña conditions (Wang et al., 2017). Thus, anthropogenic nutrients can have an impact on local spatial scales within the larger upwelling ecosystem (Howard et al., 2017).
Filters: Susceptibility to Eutrophication
The seasonal development of bottom water hypoxia is driven primarily by river borne nutrient inputs in the NGM, ECS, NA, and CB; by the cumulative inputs of both riverine inputs and N-fixation in the GBR and BS; and by upwelling in the SBC. In addition to the spatial extent of bottom water hypoxia (Table 1), decadal scale increases in summer toxic phytoplankton events have been observed in the NGM, ECS, BS, NA, CB, and SBC. With the exception of the SBC where DIN:DIP is < 10, each of these ecosystems is characterized by DIN:DIP molar ratios that are significantly above the Redfield Ratio of 16 which promotes the growth of toxic dinoflagellates (Glibert and Burford, 2017). Only the GBR, where DIN:DIP ratios are < 16, has not experienced significant decadal increases in toxic blooms. In addition, while biologically engineered habitats have been lost in all ecosystems except the SBC, four systems are particularly significant in this regard: (i) losses of tidal marshes (Mitsch et al., 2005) and oyster reefs in the NGM (Peyronnin and Condrey, 2017); (ii) degradation of coral reefs in the GBR system (Bell, 1992; Bell et al., 2014); (iii) losses of seagrass meadows and brown algae in the BS, and (iv) losses of oyster reefs (Newell, 1988; Theuerkauf et al., 2019a)24 and seagrass meadows (Orth and Moore, 1983) in CB. Given these expressions of eutrophication, CB ranks highest in terms of cumulative impacts followed in rank order by the BS, NA, NGM, SBC, ECS, and the GBR (Table 1).
To what extent are these expressions of eutrophication reflections of the magnitude of N loading and levels of NPP? Despite major contrasts in the magnitude of N loading, NPP was < 300 g C m–2 yr–1 in all ecosystems except CB and the SBC (Table 1). While the N load to the BS is nearly an order of magnitude higher than that to CB, mean NPP of the BS is nearly three times lower than that of CB. However, the BS is ranked lower than CB in terms of the severity of eutrophication. Likewise, while nutrient loading to the ECS is more than an order of magnitude greater than to CB, NPP of CB is twice that of the ECS and the ECS is ranked 6th in terms of the severity of eutrophication while CB is ranked 1st (Table 1). These relationships underscore the importance of viewing impacts in the context of their spatial extent relative that of the ecosystem as specified by boundary conditions.
In terms of susceptibility, it has been known for some time that coastal ecosystems vary in their sensitivity to anthropogenic nutrient enrichment based on key characteristic of each ecosystem (Cloern, 1982, 2001; Officer et al., 1982; National Research Council [NRC], 2000; Smith et al., 2003; Dalsgaard et al., 2005; Theuerkauf et al., 2019a). Among the more important of these are the dilution potential of nutrient inputs within the ecosystem, residence times of nutrients in the ecosystem, export of N via denitrification and anammox25 from the ecosystem, biofiltration26 within the ecosystem, and synergies with other pressures. Based on its long residence time (Stigebrandt, 2001) and low dilution potential, the BS is highly susceptible to eutrophication while the susceptibility of the GBR is low due to its short residence time and high dilution potential (Wang et al., 2007; Table 1). The importance of N export via denitrification and anammox is particularly apparent in the ECS while zooplankton grazing appears to be an important loss term in the NGM (Dagg, 1995) and the BS (Lignell et al., 1993). At the same time, the loss of oyster reefs in CB and the NGM has reduced biofiltration and increased the susceptibility of these ecosystems to eutrophication.
Despite major differences in N loading and in the relationship between N load and impacts (Table 1), all of these systems except CB and the SBC would be classified as mesotrophic based on annual phytoplankton NPP (Nixon, 1995; Table 1). Perhaps criteria based on the impacts of changes in phytoplankton biomass, such as those described above, would be more useful. As emphasized by Newton et al. (2003), these relationships highlight a significant problem with defining trophic status in terms of specific, quantitative ranges of NPP, a problem that is exacerbated by synergies with other pressures.
The Perfect Storm: Synergies Among Pressures
The impacts of continued increases in N loading are likely to be exacerbated by synergies with other pressures, especially over fishing, coastal development, and climate-driven warming, acidification and increases in wet precipitation (Newton et al., 2012; Paerl et al., 2019). Thus, it is likely that the severity and extent of coastal eutrophication will continue to increase in the absence of aggressive actions to reduce diffuse inputs of anthropogenic N and P to coastal watersheds and airsheds (Boyer and Howarth, 2008; Swaney et al., 2012; Townhill et al., 2018). Examples of synergies are given below to illustrate the problem.
• The spatial extent of hypoxic bottom water is forecast to continue increasing, primarily due to the combined effects of ongoing increases in anthropogenic nutrient inputs to coastal watersheds, increases in fishing pressure, ocean warming, and increases in wet precipitation (Huntington, 2006; Eriksson et al., 2009; Rabalais et al., 2009; Altieri and Gedan, 2015; Cloern et al., 2016; Sinha et al., 2017; Breitburg et al., 2018); and it is likely that the rate of biodiversity loss in coastal ecosystems will increase as a consequence (Diaz and Rosenberg, 1995; Vaquer-Sunyer and Duarte, 2008).
• Regional declines of large predatory fish in the Baltic Sea have been shown to promote eutrophication by decreasing grazer control of algal biomass by minnows and other small grazers (Eriksson et al., 2009; Bergström et al., 2019).
• The development of hypoxic bottom water amplifies acidification caused by the ocean’s assimilation of CO2 resulting in decreases in pH to levels that have an adverse impact on calcifying organisms including shellfish, planktonic pteropods and corals (IPCC, 2014; Wallace et al., 2014; Anderson et al., 2015; Ekstrom et al., 2015; Laurent et al., 2018).
• Hard coral cover on the GBR decreased by > 70% during the twentieth century, apparently due to a combination of nutrient-driven increases in Chl concentration and macroalgal cover, storm damage, coral bleaching, widespread growth of the crown of thorns starfish, and coral skeletal diseases (Bell et al., 2014). Chronic exposure of coral reefs to excess nutrient enrichment enhances coral bleaching during warming events and increases the severity of disease in stony corals (Vega-Thurber et al., 2014). In addition, overfishing and nutrient pollution reduce the resilience of coral reefs by increasing coral–algal competition and reducing coral recruitment, growth and survivorship (Zaneveld et al., 2016).
• The frequency of toxic algal events appears to be on the rise to the detriment of marine animals and people (Heisler et al., 2008; Glibert and Burford, 2017), a trend that appears to be driven by synergies among increases in anthropogenic nutrient enrichment, N:P ratios, sea surface temperature, vertical stratification (Glibert et al., 2014, 2018; Gobler et al., 2017; Wurtsbaugh et al., 2019), and overfishing (Vasas et al., 2007).
Impacts of Cultural Eutrophication on Ecosystem Services
Cultural eutrophication has major consequences for the biodiversity of coastal ecosystems and the services they provide to society, including fish production, protection from coastal erosion and flooding, water filtration, and nutrient cycling. Examples of impacts of eutrophication on services include the following:
(i) The development of oxygen deficient bottom waters leads to declines in the abundance of macrobenthic animals and to increases in energy flow through microbial food webs relative to energy flow through metazoan food webs that support mobile consumers (e.g., fisheries), a shift that may reduce the carrying capacity for fisheries in some ecosystems (Diaz and Rosenberg, 2008; Condon et al., 2011; Figure 9).
Figure 9. Conceptual diagram of how hypoxia alters energy flow through marine food webs. Typically, 25–75% of macrobenthic carbon biomass is transferred to higher level consumers (e.g., fish populations) when oxygen levels are sufficiently high to support aerobic metazoan animal populations. As oxygen levels decline, higher-level predation decreases and the proportion of benthic energy transferred to microbes increases until microbes process all benthic energy under anoxic conditions with hydrogen sulfide (H2S) production (adapted from Diaz and Rosenberg, 2008).
(iii) Warm water coral reefs provide in excess of $375 billion in services annually that benefit > 500 million people in at least 90 countries worldwide (Hoegh-Guldberg et al., 2017).
(iv) Mangrove forests, salt marshes, seagrass beds, and coral reefs provide nursery grounds for marine animals and provide protection against coastal flooding and erosion (Koch et al., 2009).
(v) Toxic phytoplankton events have had negative impacts to fisheries, coastal ecosystems, public health, and coastal economies (Anderson et al., 2015). The economic cost of these events to the EU has been estimated to be on the order of $1 billion per year (Hoagland and Scatasta, 2006).
It is important to emphasize that these impacts should be viewed in the context of their spatial extent relative to the size of the ecosystem as a whole. While N enrichment usually causes increases in biological production, and hypoxia reduces biomass and the availability of suitable habitat, the relationship between N loading and fish landings is complex (e.g., Chesney et al., 2000; de Mutser et al., 2016). A comparison of 30 coastal ecosystems worldwide shows that when the spatial extent of bottom water hypoxia is < 20% of the ecosystem’s area, fish landings per unit N loading (kg wet weight per kg N) range between 0.1 and 2.1, but when spatial extent was > 20%, landings per N loading were consistently < 0.5 (Breitburg et al., 2009).
Managing Diffuse Inputs
Although N supply typically limits the magnitude of seasonal phytoplankton blooms in coastal ecosystems, both P and N inputs should be managed since P has been found to be the primary limiting nutrient in some coastal ecosystems (e.g., the NA), and managing only N without managing P inputs can lead to decreases in N:P ratios, increases in N-fixation, and toxic blooms of cyanobacteria (Conley et al., 2009; Glibert et al., 2014; Paerl et al., 2016; Glibert and Burford, 2017).
Nutrient enrichment from diffuse sources generally account for most anthropogenic nutrient loading, especially in watersheds where industrial agriculture and fossil fuel combustion are prevalent. While significant progress has been made in reducing nutrient inputs to coastal waters from point sources through tertiary waste water treatment27, reducing nutrient inputs from diffuse sources has proven to be much more difficult, especially in large watersheds (Boesch, 2019). In addition, rates of recovery in response to management actions to control diffuse inputs are often slow in coastal ecosystems, making it more difficult to relate cause and effect, a problem that is compounded by hysteresis in the trajectories of the processes of eutrophication and oligotrophication, i.e., for the same nutrient input, ecosystems are structured differently on the eutrophication trajectory than on the subsequent oligotrophication trajectory so they may not return to the same initial state (Duarte et al., 2009; Jochimsen et al., 2013; McCrackin et al., 2017; Duarte and Krause-Jensen, 2018).
Management Response Strategies in the United States, the EU, and China
The 1998 National Strategy for the Development of Regional Nutrient Criteria28 presented an approach the U.S. Environmental Protection Agency (EPA) now uses to work with States and Tribes to adopt nutrient criteria as part of State water quality standards. Each State is required to submit a list of impaired and threatened waters within their jurisdiction and to establish priorities for the formulation of “Total Maximum Daily Loads” (TMDLs) of nutrients and other pollutants to these water bodies29. Implementation by each State may occur via direct management actions and water quality trading programs30. In addition to TMDLs, the EPA funds state-level diffuse source management programs that incorporate “Best Management Practices” (BMPs) (Liu et al., 2017). BMPs can be implemented to reduce nutrient loading from urban sources by using detention basins, constructed wetlands, vegetative swales31, and rain gardens. A critical BMP for agricultural fields is to improve nutrient use efficiency, i.e., select the right fertilizer and tune applications to match plant requirements and reduce nutrient losses. BMPs also include contour farming32, crop rotation, cover crops, no tillage, grassed waterways, constructed wetlands, grade stabilization structures, and vegetated buffer strips.
However, implementation has been slow and uneven because it is not a legal requirement, funding is insufficient, and outcomes are uncertain due to time lags between management actions and improvements in trophic status and hysteresis. In addition, although technical tools and management practices exist for cost-effective reductions in nutrient inputs, implementation remains the primary problem, which suggests that new policy approaches should be tried. A broader use of incentives, trading, and corporate stewardship is clearly needed.
Numerous policy instruments have been propagated in an effort to protect coastal ecosystems (Joint Research Centre [JRC], 2014). The Nitrates Directive33 is intended to protect water resources against nitrates from agricultural sources, and the Urban Waste Water Treatment Directive (UWWT) aims at controlling emissions of nitrogen and phosphorus from point sources such as urban sewage effluents (Joint Research Centre [JRC], 2014). They both support the Water Framework Directive (WFD) that aims to achieve Good Ecological Status of water, including coastal waters, by 2020 (Pulido-Velazquez and Ward, 2017). The Marine Strategy Framework Directive has a specific descriptor focused on eutrophication to achieve Good Environmental Status in marine waters. These legal instruments are further complemented by international initiatives of Regional Seas that aim to control pollution from land-based sources and maritime transport, e.g., the Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR), the Helsinki Convention on the Protection of the Marine Environment of the Baltic Sea Area (HELCOM, 2018b), and the Convention for the Protection of the Mediterranean Sea (Barcelona Convention).
However, despite numerous policy directives and conventions, the most recent assessment of trophic status of European coastal ecosystems (European Environmental Agency [EEA], 2018) shows that 40% of coastal (continental shelf) waters and 66% of transitional waters (estuaries) failed to achieve the objective of good ecological status34 (Poikane et al., 2019). Therefore, a new Fertilizing Products Regulation was adopted in 2019, and Carvalho et al. (2019), made the following recommendations to address the ongoing eutrophication problem:
(i) Changes in ecological status must be monitored and assessed more effectively;
(ii) Management actions must account for the effects of multiple stressors;
(iii) Management targets of the Water Framework Directive (WDF)35 need to acknowledge long-term recovery time-scales;
(iv) Water resource protection must be mainstreamed into other policy instruments; and
(v) WFD implementation must acknowledge management needs beyond 2027.
It is too early to assess whether these new EU fertilizer regulations will be effective, particularly in view of sometimes lengthy recovery times (O’Higgins et al., 2014).
The Chinese Government regards agriculture as the primary driver of economic development in the twenty-first century, and Chinese policy calls for implementing Integrated Nutrient Management (INM). The major challenge is how to increase crop production to meet food-demand while also increasing nutrient use efficiency (NUE) to protect the environment (Zhang F. et al., 2012). Nutrient management strategies have been successful in terms of maintaining maximum crop production, but attempts to improve NUE have been met with limited success in industrial agriculture. As a result, agricultural ecosystems are maintained in a state of nutrient saturation and are inherently leaky because chronic surplus additions of N and P have been used to maximize production.
INM was launched in 2005 with funding for 5-years (6 billion Yuan or $923 million US) (Zhang F. et al., 2012). The overall goal was to maximize both crop production and NUE by informing “root zone-rhizosphere management36 through soil testing and controlled fertilizer application. The objective is to manage soil nutrient supply in the root zone to match the quantity required for crop production. Rhizosphere management was proven to be an effective approach for increasing both crop productivity and NUE for sustainable agricultural production. However, there is still a long way to go to realize the objectives of NUE.
China’s agricultural advisory system is fragmented (Ma et al., 2013). Increasing agricultural production is the primary role of the Ministry of Agriculture while environmental protection is the primary role of the Ministry of Environmental Protection. However, the Ministry of Agriculture has the greatest influence on farmers through financial incentives. In addition, regional Governors focus on industrial development and employment. As a result, regional governments often pay little attention to sustainable food production and environmental protection (Ma et al., 2013).
Fortunately, the Chinese Government is aware of the importance of INM to sustainable production and supports its adoption on a national scale. The key steps of INM are to (1) optimize inputs of anthropogenic nutrients by considering all possible nutrient sources, (2) match nutrient applications to crop requirement in this context, and (3) reduce N losses from industrial agriculture (Zhang F. et al., 2012). This has been a challenge given the transitions China has been going through in terms of both evolving from an agrarian society to an industrial society and from a government-led system to a market-led system. Adapting to these trends will require Governmental support for agriculture to deemphasize fertilizer-subsidies and increase direct support for farmers who can demonstrate that they are not only contributing to increases in food production but are also increasing NUE and environmental protection.
The Way Forward
Managing coastal eutrophication on regional to global scales requires both more comprehensive detection and monitoring of nutrient inputs and their impacts, especially, as noted in section “Global Trends and Patterns,” in the southern hemisphere (Altieria et al., 2017; Diaz et al., 2019). In addition, efforts to reverse eutrophication and accelerate oligotrophication require more comprehensive strategies to reduce eutrophication than simply reducing nutrient inputs to coastal watersheds. These begin with ecosystem-based management plans that consider watersheds and their receiving bodies of water as a whole (e.g., large marine ecosystems) and, in this context, land-use practices that integrate land-based controls to manage nutrient releases and transports to coastal ecosystems (Carlson et al., 2019). Each part of the watershed plays a role in contributing to nutrient inputs, which are modulated by soil type, land use practices and land cover. Identifying critical source areas (CSAs)37 for cost effective nutrient control should be part of such an integrated approach (Pokhrel and Paudel, 2019).
Managing inputs of nutrients to watersheds and transports to coastal ecosystems can be augmented as needed. Examples include the following:
(i) Recycle animal manure to cropland within watersheds has been shown to be an effective BMP that substantially reduces nutrient runoff (Strokal et al., 2020);
(ii) Restore critical habitats (seagrass meadows, coral reefs, oyster reefs, mangrove forests and salt-marshes) to remove nutrients, increase sequestration of organic matter in benthic sediment, and increase rates of denitrification;
(iii) Establish sustainable macroalgal and bivalve aquaculture systems to remove excess N and P (Burkholder and Shumway, 2011; Kellogg et al., 2014; Duarte and Krause-Jensen, 2018; Theuerkauf et al., 2019a, b; Kotta et al., 2020); and
(iv) Implement ecologically sound hydrological interventions to increase flushing and reduce the residence time of nutrients (Dettmann, 2001).
Given the challenges of controlling diffuse nutrient inputs and their impacts, two essential, mutually dependent activities must come into play to formulate, implement and improve cost-effective nutrient management strategies. First, repeated assessments of nutrient loading (sources and transportation routes) and impacts are needed that are informed by sustained and integrated research and monitoring (cf., Paerl, 2006; Carstensen, 2014; Malone et al., 2014). Second, these assessments must be enabled by ongoing guidance from scientists, politicians, managers and the public (Malone et al., 1993).
TM and AN conceived, researched, and wrote this manuscript together. Both authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
This review has benefitted from the final draft of Chapter 10, Changes in Inputs to the Marine Environment of Nutrients, of the Second World Ocean Assessment to be published in late 2020 (Evans et al., 2019). AN acknowledges IMBeR, Future Earth Coasts and Future Earth Ocean KAN.
- ^ “Excess” phytoplankton production occurs when the rate at which organic matter is produced exceeds the capacity of aerobic consumers and physical dilution to prevent accumulations of organic matter.
- ^ This does not mean that phosphorus does not play a role (cf., Turner and Rabalais, 2013).
- ^ A boundary beyond which human perturbations are predicted to destabilize the Earth’s N cycle on a global scale.
- ^ Assimilation of carbon dioxide and heat from the atmosphere mitigates the impact of anthropogenic carbon emissions.
- ^ For our purposes, critical habitats include both the pelagic habitat and biologically engineered benthic habitats (coral and oyster reefs, seagrass meadows, kelp forests, tidal marshes and mangrove forests).
- ^ Ecosystem-based approaches (i) emphasize the protection of ecosystem structure and function; (ii) are place-based; (iii) explicitly account for interactions among species (including humans) and between species and their environment; (iv) consider interactions among ecosystems; and (v) integrate ecological, social, economic, and institutional perspectives.
- ^ An index of phytoplankton biomass.
- ^ Hypoxia, dissolved oxygen concentration ≤ 2 mg liter–1; anoxia, water depleted of dissolved oxygen.
- ^ A rapid increase in density with depth in the water column which separates a vertically mixed surface layer from bottom water.
- ^ The global network of large marine ecosystems (LMEs) includes coastal watersheds and the coastal ocean (estuaries and the open waters of the continental shelves). LMEs vary in size from ∼ 200,000 km–2 to > 1,000,000 km–2 and encompass areas of the coastal ocean where primary productivity is generally higher than in the open ocean (Sherman, 1991).
- ^ In addition to the major sources listed below, there are many, relatively minor, additional sources including industrial sources, especially from biomass and food processing, e.g., paper mills, dairy, brewing.
- ^ Ground water discharge is estimated to be < 4% of nutrient exports to coastal waters globally (Beusen et al., 2013). Given this, and challenges of quantifying ground water inputs on regional to global scales (National Research Council [NRC], 2000), this pathway is not considered here.
- ^ Oligotrophic < 100 g C m–2 yr–1, Mesotrophic 100–300 g C m–2 yr–1, Eutrophic 301–500 g C m–2 yr–1, and Hypereutrophic > 500 g C m–2 yr–1.
- ^ Nutrients supplied from outside the ecosystem (e.g., nitrate input via upwelling and river runoff) as opposed to nutrients that are regenerated and recycled within the ecosystem (e.g., ammonium).
- ^ http://mississippiriverdelta.org/files/2018/09/Known-Impacts-of-the-Mississippi-River-1.pdf (Accessed April 21, 2020).
- ^ Denitrification is generally the dominant pathway for N removal in coastal ecosystems (Dalsgaard et al., 2005). Coastal marine sediments play a critical role in N losses via denitrification and anaerobic ammonium oxidation (anammox).
- ^ Human activity preferentially mobilizes nitrate over other forms of nitrogen (Howarth et al., 1996).
- ^ Increases in Chl reduce light penetration. Clear water occurs when the attenuation coefficient for downwelling photosynthetically active radiation is < 0.17.
- ^ The crown-of-thorns (Acanthaster planci) is responsible for the loss of immense stretches of coral throughout the Indo-Pacific region, especially on the GBR. Larvae of this starfish are able to clone themselves, and the frequency of larval cloning increases with increasing phytoplankton biomass. This has the potential to increase the supply of larvae and consequently the abundance of adults (Allen et al., 2019).
- ^ Ciguatera fish poisoning is a foodborne illness caused by eating reef fish whose flesh is contaminated with certain toxins (e.g., palytoxin, an intense vasoconstrictor considered to be one of the most poisonous non-protein toxins known).
- ^ A geological epoch, supplementing the Holocene, when anthropogenic activities became a dominant driver of environmental change as indicated by the rapid rise in atmospheric carbon dioxide and methane that began in the latter part of the eighteenth century (Crutzen, 2002; Waters et al., 2016).
- ^ https://www.chesapeakebay.net/what/downloads/cbp_water_quality_database_1984_present (Accessed April 21, 2020).
- ^ Inputs of new nutrients (e.g., nitrate via upwelling) from outside an ecosystem supports “new” phytoplankton production in contrast to “regenerated” production supported by nutrients recycled (e.g., ammonium) within the ecosystem (Dugdale and Goering, 1967).
- ^ The standing stock of filter feeding oysters is estimated to have decreased to < 2% of that present prior to the twentieth century due to over fishing and disease, a decline that has exacerbated the impacts of increasing anthropogenic nutrient enrichment (Newell, 1988).
- ^ Denitrification is generally the dominant pathway for N removal in coastal ecosystems (Dalsgaard et al., 2005). Denitrification removes nitrogen from an ecosystem by converting fixed nitrogen to dinitrogen gas, which can then be lost to the atmosphere. Coastal marine sediment plays a critical role in N losses via denitrification and anaerobic ammonium oxidation (anammox) and release of nitrous oxide.
- ^ Biofiltration by oyster reefs has declined globally by 85% making coastal ecosystems, such as Chesapeake Bay and the northern Gulf of Mexico, more susceptible to eutrophication due to the associated decline in biofiltration (Theuerkauf et al., 2019a, b).
- ^ An advanced treatment process that effectively removes most inorganic nutrients (N and P) and, in so doing, improves the quality of wastewater before it is discharged or recycled.
- ^ https://www.epa.gov/sites/production/files/2018-10/documents/nutrient-strategy-1998.pdf (Accessed April 21, 2020).
- ^ https://fas.org/sgp/crs/misc/R42752.pdf (Accessed April 21, 2020).
- ^ https://www.epa.gov/chesapeake-bay-tmdl/trading-and-offsets-chesapeake-bay-watershed (Accessed April 21, 2020).
- ^ Broad, shallow channels designed to convey and infiltrate storm water runoff. Swales are vegetated along the bottom and sides of the channel, with side vegetation at a height greater than the maximum expected volume flow of storm water.
- ^ The practice of tilling sloped land along lines of consistent elevation in order to conserve rainwater and to reduce soil losses from surface erosion.
- ^ The Nitrates Directive was adopted in 1991 to protect water quality across Europe by preventing nitrates from agricultural sources polluting ground and surface waters and by promoting the use of good farming practices.
- ^ Indicators of good ecological status include the following: (i) Biodiversity is maintained; (ii) Non-indigenous species do not adversely alter the ecosystem; (iii) Populations of commercial fish species are healthy; (iv) Eutrophication is minimized; (v) Permanent alterations of hydrographic conditions do not adversely affect the ecosystem; (vi) Concentrations of contaminants give no ecological effects and concentrations in seafood are below safe levels; (vii) Marine litter does not cause harm; and (viii) Introduction of energy (including underwater sound) does not adversely affect the ecosystem.
- ^ https://ec.europa.eu/environment/water/water-framework/info/intro_en.htm (Accessed April 21, 2020).
- ^ Rhizosphere management emphasizes maximizing the efficiency of root-rhizosphere processes in nutrient acquisition and use by crops rather than simply depending on excessive fertilizer inputs.
- ^ Critical source areas are areas within a watershed that contribute a disproportionately large amount of nutrients to the identified water quality problems. They are generally considered to be places where high-level nutrient sources coincide with high nutrient transport potential.
- ^ http://unesdoc.unesco.org/ulis/.
Adolf, J. E., Stoecker, D. K., and Harding L. W. Jr. (2006). The balance of autotrophy and heterotrophy during mixotrophic growth of Karlodinium micrum (Dinophyceae). J. Plankton Res. 28, 737–751. doi: 10.1093/plankt/fbl007
Allen, J. D., Richardson, E. L., Deaker, D., Agüera, A., and Byrne, M. (2019). Larval cloning in the crown-of-thorns sea star, a keystone coral predator. Mar. Ecol. Prog. Ser. 609, 271–276. doi: 10.3354/meps12843
Altieri, A. H., and Diaz, R.J. (2019). “Dead zones: Oxygen depletion in coastal ecosystems,” in World Seas: An Environmental Evaluation, ed. C. Sheppard (Oxford: Elsevier Academic Press), 453–473. doi: 10.1016/b978-0-12-805052-1.00021-8
Altieria, A. H., Harrisona, S. B., Seemann, J., Collin, R., Diaz, R. J., and Knowlton, N. (2017). Tropical dead zones and mass mortalities on coral reefs, Proc. Nat. Acad. Sci. U.S.A. 114, 3660–3665. doi: 10.1073/pnas.1621517114
Alvisi, F., and Cozzi, S. (2016). Seasonal dynamics and long-term trend of hypoxia in the coastal zone of Emilia Romagna (NW Adriatic Sea, Italy). Sci. Total Environ. 541, 1448–1462. doi: 10.1016/j.scitotenv.2015.10.011
Anderson, C. R., Moore, S. K., Tomlinson, M. C., Silke, J., and Cusack, C.K. (2015). “Living with harmful algal blooms in a changing world: strategies for modelling and mitigating their effects in coastal marine ecosystems,” In Coastal and Marine Hazards, Risks, and Disasters, eds D. J. Sherman, J. Ellis, and J. F. Shroder (Amsterdam: Elsevier), 495–561. doi: 10.1016/b978-0-12-396483-0.00017-0
Anderson, C. R., Siegel, D. A., Kudela, R. M., and Brzezinskic, M. A. (2009). Empirical models of toxigenic Pseudo-nitzschia blooms: potential use as a remote detection tool in the Santa Barbara Channel. Harmful Algae 8, 478–492. doi: 10.1016/j.hal.2008.10.005
Anderson, D. M., Burkholder, J., Cochlan, W. P., Glibert, P. M., Gobler, C. J., Heil, C. A., et al. (2008). Harmful algal blooms and eutrophication: examining linkages from selected coastal regions of the United States. Harmful Algae 8, 39–53. doi: 10.1016/j.hal.2008.08.017
Anderson, D. M., Glibert, P. M., and Burkholder, J. M. (2002). Harmful algal blooms and eutrophication: nutrient sources, composition, and consequences. Estuar. Coasts 25, 704–726. doi: 10.1007/bf02804901
Aneja, V. P., Roelle, P. A., Murray, G. C., Southerland, J., Erismanc, J. W., David, F., et al. (2001). Atmospheric nitrogen compounds II: emissions, transport, transformation, deposition and assessment. Atmospheric Environ. 35, 1903–1911. doi: 10.1016/s1352-2310(00)00543-4
Aulenbach, B. T., Buxton, H. T., Battaglin, W. A., and Coupe, R. H. (2007). Streamflow and nutrient fluxes of the Mississippi-Atchafalaya River Basin and subbasins for the period of record through 2005: U.S. Geological Survey Open-File Report 2007–1080. Reston, VI: USGS.
Bargu, S., Baustian, M. M., Rabalais, N. N., del Rio, R., von Korff, B., and Turner, R. (2016). Influence of the Mississippi River on Pseudo-nitzschia spp. abundance and toxicity in Louisiana Coastal Waters. Estuar. Coasts 39, 1345–1356. doi: 10.1007/s12237-016-0088-y
Baustian, M. M., Rabalais, N. N., Del Rio, R., Von Korff, B., and Turner, R. E. (2016). Influence of the Mississippi River on Pseudo-nitzschia spp. abundance and toxicity in Louisiana coastal waters. Estuar. Coasts 39, 1345–1356.
Bell, P. R. F., Elmetri, I., and Lapointe, B. E. (2014). Evidence of large-scale chronic eutrophication in the Great Barrier Reef: quantification of chlorophyll-a thresholds for sustaining coral reef communities. Ambio 43, 361–376. doi: 10.1007/s13280-013-0443-1
Bell, P. R. F., Elmetri, I., and Uwins, P. (1999). Nitrogen fixation of Trichodesmium spp. in the Great Barrier Reef Lagoon-importance to the overall nitrogen budget. Mar. Ecol. Prog. Ser. 186, 119–126. doi: 10.3354/meps186119
Benthuysen, J. A., Tonin, H., Brinkman, R., Herzfeld, M., and Steinberg, C. (2016). Intrusive upwelling in the Central Great Barrier Reef. J. Geophys. Res. Oceans 121, 8395–8416. doi: 10.1002/2016jc012294
Benway, H. M., and Coble, P. G. (Ed.) (2014). Report of The U.S. Gulf of Mexico Carbon Cycle Synthesis Workshop, March 27-28, 2013, Ocean Carbon and Biogeochemistry Program and North American Carbon Program, St. Petersburg, FL: Ocean Carbon & Biogeochemistry, 67.
Bergström, L., Karlsson, M., Bergström, U., Pihl, L., and Kraufvelin, P. (2019). Relative impacts of fishing and eutrophication on coastal fish assessed by comparing a no-take area with an environmental gradient. Ambio 48, 565–579. doi: 10.1007/s13280-018-1133-9
Bernardi-Aubry, F., Berton, A., Bastianini, M., Socal, G., and Acri, F. (2004). Phytoplankton succession in a coastal area of the NW Adriatic, over a 10-year sampling period. (1990–1999). Continental Shelf Res. 24, 97–115. doi: 10.1016/j.csr.2003.09.007
Beusen, A. H. W., Bouwman, A. F., van Beek, L. P. H., Mogollón, J. M., and Middelburg, J. J. (2016). Global riverine N and P transport to ocean increased during the 20th century despite increased retention along the aquatic continuum. Biogeosciences 13, 2441–2451. doi: 10.5194/bg-13-2441-2016
Beusen, A. H. W., Slomp, C. P., and Bouwman, A. F. (2013). Global land–ocean linkage: direct inputs of nitrogen to coastal waters via submarine groundwater discharge. Environ. Res. Lett. 8:034035. doi: 10.1088/1748-9326/8/3/034035
Bialonski, S., Caron, D. A., Schloen, J., Feudel, U., Kantz, H., Moorthi, S. D., et al. (2016). Phytoplankton dynamics in the Southern California Bight indicate a complex mixture of transport and biology. J. Plankton Res. 38, 1077–1091. doi: 10.1093/plankt/fbv122
Blondeau-Patissier, D., Brando, V. E., Lønborg, C. Leahy, S.M., and Dekker, A. G. (2018). Phenology of Trichodesmium spp. blooms in the Great Barrier Reef lagoon, Australia, from the ESAMERIS 10-year mission. PLoS One 13:e0208010. doi: 10.1371/journal.pone.0208010
Bode, A., and Dortch, Q. (1996). Uptake and regeneration of inorganic nitrogen in coastal waters influenced by the Mississippi River: spatial and seasonal variations. J. Plankton Res. 18, 2251–2268. doi: 10.1093/plankt/18.12.2251
Boero, F., Brotz, L., Gibbons, M. J., Piraino, S., and Zampardi, S. (2016). “Impacts and effects of ocean warming on jellyfish,” in Explaining Ocean Warming: Causes, Scale, Effects and Consequences, eds D. Laffoley and J.M. Baxter. Gland, International Union for Conservation of Nature, 213–237.
Booth, J. A. T., Woodson, C. B., Sutula, M A., Micheli, F., Weisberg, S. B., Bograd, S., et al. (2014). Patterns and potential drivers of declining oxygen content along the southern California coast. Limnol. Oceanogr. 59, 1127–1138. doi: 10.4319/lo.2014.59.4.1127
Bouwman, L., Goldewijk, K. K., Van Der Hoek, K. W., Beusen, A. H. W., Van Vuuren, D. P., Willems, J., et al. (2013). Exploring global changes in nitrogen and phosphorus cycles in agriculture induced by livestock production over the 1900–2050 period. Proc. Natl. Acad. Sci. U.S.A. 110, 20882–20887. doi: 10.1073/pnas.1012878108
Boyer, E. W., and Howarth, R. W. (2008). “Nitrogen fluxes from rivers to the coastal oceans,” in Nitrogen in the Marine Environment, eds D. G. Capone, D. A. Bronk, M. R. Mulholland, and E. J. Carpenter (Cambridge, MA: Academic Press), 1565–1587. doi: 10.1016/b978-0-12-372522-6.00036-0
Boynton, W. R., Garber, J. H., Summers, R., and Kemp, W. M. (1995). Inputs, transformations, and transport of nitrogen and phosphorus in Chesapeake Bay and selected tributaries. Estuaries 18, 285–314.
Boynton, W. R., and Kemp, W. M. (2000). Influence of river flow and nutrient loading on selected ecosystem processes: A synthesis of Chesapeake Bay data, in Estuarine Science: A Synthetic Approach to Research and Practice, Ed. J. Hobbie (Washington, DC: Island Press), 269–298.
Breitburg, D., Levin, L. A., Oschlies, A., Grégoire, M., Chavez, F. P., Conley, D. J., et al. (2018). Declining oxygen in the global ocean and coastal waters. Science 359:eaam7240. doi: 10.1126/science.aam7240
Breitburg, D. L., Hondorp, D. W., Davias, L. A., Diaz, R. J. (2009). Hypoxia, nitrogen, and fisheries: integrating effects across local and global landscapes. Annu. Rev. Mar. Sci. 1, 329–349. doi: 10.1146/annurev.marine.010908.163754
Brodie, J., Lewis, S. E., Bainbridge, Z., Mitchell, A., Waterhouse, J., Kroon, F. J., et al. (2009). Target setting for pollutant discharge management in the Great Barrier Reef catchment area. Mar. Freshwater Res. 60, 1141–1149.
Brodie, J., Schroeder, T., Rohde, K., Faithful, J., Masters, B., Dekker, A. G., et al. (2010). Dispersal of suspended sediments and nutrients in the Great Barrier Reef lagoon during river-discharge events: conclusions from satellite remote sensing and concurrent flood-plume sampling. Mar. Freshwater Res. 61, 651–664.
Brodie, J., Wolanski, E., Lewis, S., and Bainbridge, Z. (2012). An assessment of residence times of land-sourced contaminants in the Great Barrier Reef lagoon and the implications for management and reef recovery. Mar. Pollut. Bull. 65, 267–279. doi: 10.1016/j.marpolbul.2011.12.011
Brodie, J. E., Devlin, M., Haynes, D., and Waterhouse, J. (2011). Assessment of the eutrophication status of the Great Barrier Reef lagoon (Australia). Biogeochemistry 106, 281–302. doi: 10.1007/s10533-010-9542-2
Brodie, J. E., and Mitchell, A. W. (2005). Nutrients in Australian tropical rivers: changes with agricultural development and implications for receiving environments. Mar. Freshwater Res. 56, 279–302.
Brotz, L., Cheung, W. W. L., Kleisner, K., Pakhomov, E., and Pauly, D. (2012). Increasing jellyfish populations: trends in large marine ecosystems. Hydrobiologia 690, 3–20. doi: 10.1007/978-94-007-5316-7_2
Brown, K. T., Bender-Champ, D., Kubicek, A., van der Zande, R., Achlatis, M., Hoegh-Guldberg, O., and Dove, S. G. (2018). The dynamics of coral-algal interactions in space and time on the southern Great Barrier Reef. Front. Mar. Sci. 5:181. doi: 10.3389/fmars.2018.00181
Brzezinski, M. A., and Washburn, L. (2011). Phytoplankton primary productivity in the Santa Barbara Channel: effects of wind-driven upwelling and mesoscale eddies, J. Geophys. Res., 116:C12013. doi: 10.1029/2011JC007397
Burkholder, J. M., and Shumway, S.E (2011). “Bivalve shellfish aquaculture and eutrophication,” in Shellfish Aquaculture and the Environment, ed. S.E. Shumway (Hoboken, NY: John Wiley & Sons, Inc.), 155–215. doi: 10.1002/9780470960967.ch7
Carstensen, J., Andersen, J. U., Gustafsson, B. G., and Conley, D. J. (2014). Deoxygenation of the Baltic Sea during the last century. Proc. Nat. Acad. Sci. U.S.A. 111, 5628–5633. doi: 10.1073/pnas.1323156111
Carvalho, L., Mackay, E. B., Cardoso, A. C., Baattrup-Pedersen, A., Birk, S., Blackstock, K. L., et al. (2019). Protecting and restoring Europe’s waters: an analysis of the future development needs of the water framework directive. Sci. Total Environ. 658, 1228–1238. doi: 10.1016/j.scitotenv.2018.12.255
Chen, C. -C., Gong, G. -C., and Shiah, F. K. (2007). Hypoxia in the East China Sea: one of the largest coastal low-oxygen areas in the world. Mar. Environ. Res. 64, 399–408. doi: 10.1016/j.marenvres.2007.01.007
Chen, J., Finlayson, B. L., Wei, T., Sun, Q, Webber, M., Li, M., and Chen, Z. (2016). Changes in monthly flows in the Yangtze River, China - With special reference to the Three Gorges Dam. J. Hydrol. 536, 293–301. doi: 10.1016/j.jhydrol.2016.03.008
Chen, L., Liu, J., Xu, G., and Li, F. (2019). Phytoplankton productivity and community structure variations over the last 160 years in the East China Sea coast in response to natural and human-induced environmental changes. Holocene 29, 1145–1154. doi: 10.1177/0959683619838040
Chesney, E. J., Baltz, D., and Thomas, G. (2000). Louisiana estuarine and coastal fisheries and habitats: perspectives from a fish’s eye view. Ecol. Appl. 10, 350–366. doi: 10.1890/1051-0761(2000)010[0350:leacfa]2.0.co;2
Cloern, J. E., Abreu, P. C., Carstensen, J., Chauvaud, L., Elmgren, R., and Grall, J. et al. (2016). Human activities and climate variability drive fast-paced change across the world’s estuarine–coastal ecosystems. Glob. Change Biol. 22, 513–529. doi: 10.1111/gcb.13059
Condon, R. H., Steinberg, D. K., del Giorgio, P. A., Bouvier, T. C., Bronk, D. A., Graham, W. M., and Ducklow, H. W. (2011). Jellyfish blooms result in a major microbial respiratory sink of carbon in marine systems. Proc. Nat. Acad. Sci. U.S.A. 108, 10225–10230. doi: 10.1073/pnas.1015782108
Conley, D. J., and Malone, T. (1992). Annual cycle of dissolved silicate in Chesapeake Bay: implications for the production and fate of phytoplankton biomass. Mar. Ecol. Progr. Ser. 81, 121–128. doi: 10.3354/meps081121
Corriero, G., Alabiso, G., Bavestrello, G., Barbone, E., Bastianini, M., Bazzoni, A., et al. (2016). Ecosystem vulnerability to alien and invasive species: a case study on marine habitats along the Italian coast. Aquatic Conserv. 26, 392–409.
Costantini, M., Ludsin, S. A., Mason, D. M., Zhang, X., Boicourt, W. C., and Brandt, S. B. (2008). Effect of hypoxia on habitat quality of striped bass (Morone saxatilis) in Chesapeake Bay. Can. J. Fish. Aquat. Sci. 65, 989–1002. doi: 10.1139/f08-021
Costanza, R., de Groot, R., Braat, L., Kubiszewski, I., Fioramonti, L., Sutton, P., Farber, S., and Grasso, M. (2017). Twenty years of ecosystem services: how far have we come and how far do we still need to go? Ecosyst. Serv. 28, 1–16. doi: 10.1016/j.ecoser.2017.09.008
Costanza, R., de Groot, R., Sutton, P., der Ploeg, S., Anderson, S. J., Kubiszewski, I., Farber, S., and Turner, R. K. (2014). Changes in the global value of ecosystem services. Glob. Environ. Change 26, 152–158.
Cozzi, S., and Giani, M. (2011). River water and nutrient discharges in the Northern Adriatic Sea: current importance and long term changes. Cont. Shelf Res. 31, 1881–1893. doi: 10.1016/j.csr.2011.08.010
Culhane, F. E., Frida, C. L. J., Gelabert, E. R., Piet, G., White, L., and Robinson, L. A. (2020). Assessing the capacity of European regional seas to supply ecosystem services using marine status assessments. Ocean Coast. Manag. 190:105154.
Dagg, M. J., Ammerman, J. W., Amon, R. M. W., Gardner, W. S., Green, R. E., and Lohrenz, S. E. (2007). A review of water column processes influencing hypoxia in the Northern Gulf of Mexico. Estuar. Coasts 30, 735–752. doi: 10.1007/bf02841331
Dagg, M. J., and Breed, G. A. (2003). Biological effects of Mississippi River nitrogen on the Northern Gulf of Mexico – a review and synthesis. J. Mar. Syst. 43, 133–152. doi: 10.1016/j.jmarsys.2003.09.002
D’Angelo, C., and Wiedenmann, J. (2014). Impacts of nutrient enrichment on coral reefs: new perspectives and implications for coastal management and reef survival. Curr. Opin. Environ. Sustain. 7, 82–93. doi: 10.1016/j.cosust.2013.11.029
Danovaro, R., Fonda Umani, S., and Pusceddu, A. (2009). Climate change and the potential spreading of marine mucilage and microbial pathogens in the Mediterranean Sea. PLoS One 4:e7006. doi: 10.1371/journal.pone.0007006
de Mutser, K., Steenbeek, J., Lewis, K., Buszowski, J., Cowan J. H. Jr., and Christensen, V. (2016). Exploring effects of hypoxia on fish and fisheries in the northern Gulf of Mexico using a dynamic spatially explicit ecosystem model. Ecol. Model. 331, 142–150. doi: 10.1016/j.ecolmodel.2015.10.013
Degobbis, D., Precali, R., Ferrari, C. R., Djakovac, T., Rinaldi, A., Ivancić, I., Gismondi, M., and Smodlaka, N. (2005). Changes in nutrient concentrations and ratios during mucilage events in the period 1999-2002. Sci. Total Environ. 353 (1-3), 103–114. doi: 10.1016/j.scitotenv.2005.09.010
Degobbis, D., Precali, R., Ivančić, I., Smodlaka, N., Fuks, D., and Kveder, S. (2000). Long-term changes in the northern Adriatic ecosystem related to anthropogenic eutrophication. Int. J. Environ. Pollut. 13, 495–533.
Deininger, A., and Frigstad, H. (2019). Reevaluating the role of organic matter sources for coastal eutrophication, oligotrophication, and ecosystem health. Front. Mar. Sci. 6:210. doi: 10.3389/fmars.2019.00210
Dentener, F., Drevet, J., Lamarque, J. F., Bey, I., Eickhout, B., Fiore, A. M., et al. (2006). Nitrogen and sulfur deposition on regional and global scales: a multimodel evaluation. Glob. Biogeochem. Cycles 20:GB4003. doi: 10.1029/2005GB002672
Devlin, M. J., Petus, C., da Silva, E., Tracey, D., Wolff, N. H., Waterhouse, J., and Brodie, J. (2015). Water quality and river plume monitoring in the Great Barrier Reef: an overview of methods based on ocean colour satellite data. Remote Sens. 7, 12909–12941. doi: 10.3390/rs71012909
Diaz, R. J., Rosenberg, R., and Sturdivant, K. (2019). “Hypoxia in estuaries and semi-enclosed seas”, in Ocean Deoxygenation: Everyone’s Problem – Causes, Impacts, Consequences and Solutions, eds D. Laffoley and J.M. Baxter (Gland: IUCN), 85–102.
Djakovac, T., Supić, N., Bernardi Aubry, F., Degobbis, D., and Giani, M. (2015). Mechanisms of hypoxia frequency changes in the northern Adriatic Sea during the period 1972-2012. J. Mar. Syst. 141, 179–189. doi: 10.1016/j.jmarsys.2014.08.001
Dortch, Q., Robichaux, R., Pool, S., Milsted, D., Mire, G., Rabalais, N. N., et al. (1997). Abundance and vertical flux of Pseudo-nitzschia in the northern Gulf of Mexico. Mar. Ecol. Progr. Ser. 146, 249–264. doi: 10.3354/meps146249
Duarte, C. M., Conley, D. J., Carstensen, J., and Sánchez-Camacho, M. (2009). Return to never land: shifting baselines affect eutrophication restoration targets. Estuar. Coasts 32, 29–36. doi: 10.1007/s12237-008-9111-2
Ekstrom, J. A., Suatoni, L., Cooley, S. R., Pendleton, L. H., Waldbusser, G. G., Cinner, J. E., et al. (2015). Vulnerability and adaptation of US shellfisheries to ocean acidification. Nat. Clim. Change 5, 207–214. doi: 10.1038/nclimate2508
Elliff, C. I., and Kikuchi, R. K. P. (2015). The ecosystem service approach and its application as a tool for integrated coastal management. Nat. Conserv. Braz. J. Nat. Conserv. 13, 105–111. doi: 10.1016/j.ncon.2015.10.001
Elliott, M., Burdon, D., Atkins, J. P., Borja, A., Cormier, R., de Jonge, V. N., and Turner, R. K. (2017). And DPSIR begat DAPSI (W) R (M)! – unifying framework for marine environmental management. Mar. Pollut. Bull. 118(1-2), 27–40. doi: 10.1016/j.marpolbul.2017.03.049
Eriksson, B. K., Ljunggren, L., Sandström, A., Johansson, G., Mattila, J., Rubach, A., et al. (2009). Declines in predatory fish promote bloom-forming macroalgae. Ecol. Appl. 19, 1975–1988. doi: 10.1890/08-0964.1
European Topic Center [ETC] (2016). European Assessment of Eutrophication Abatement Measures Across Land-Based Sources, Inland, Coastal and Marine Waters. ETC/ICM Technical Report 2/2016. Denmark: European Environmental Agency.
Evans, K., Chiba, S., Bebianno, M. J., Garcia-Soto, C., Ojaveer, H., Park, C., et al. (2019). The Global Integrated World Ocean Assessment: linking observations to science and policy across multiple scales. Front. Mar. Sci. 6:298. doi: 10.3389/fmars.2019.00298
Fedra, K. E., Ölscher, M., Scherübel, C., Stachowitsch, M., and Wurzian, R. S. (1976). On the ecology of a north Adriatic benthic community: distribution, standing crop and composition of the macrobenthos. Mar. Biol. 38, 129–145. doi: 10.1007/bf00390766
Feng, Y., Friedrichs, M. A. M., Wilkin, J., Tian, H., Yang, Q., Hofmann, E. E., et al. (2015). Chesapeake Bay nitrogen ?uxes derived from a land-estuarine ocean biogeochemical modeling system: model description, evaluation, and nitrogen budgets. J. Geophys. Res. Biogeosci. 120, 1666–1695. doi: 10.1002/2015JG002931
Fennel, K., Hetland, R., Feng, Y., and DiMarco, S. (2011). A coupled physical-biological model of the Northern Gulf of Mexico shelf: model description, validation and analysis of phytoplankton variability. Biogeosciences 8, 1881–1899. doi: 10.5194/bg-8-1881-2011
Fiori, E., Zavatarelli, M., Pinardi, N., Mazziotti, C., and Ferrari, C. R. (2016). Observed and simulated trophic index (TRIX) values for the Adriatic Sea basin. Nat. Hazards Earth Syst. Sci. 16, 2043–2054. doi: 10.5194/nhess-16-2043-2016
Fonda Umani, S., Beran, A., Parlato, S., Virgilio, D., Zollet, T., de Olazabal, A., et al. (2004). Noctiluca scintillans McCartney in the Northern Adriatic Sea: long-term dynamics, relationships with temperature and eutrophication, and role in the food web. J. Plankton Res. 26, 545–561. doi: 10.1093/plankt/fbh045
Fonda Umani, S., Ghirardelli, E., and Specchi, M. (1989). Gli episodi di “mare sporco” nell’Adriatico dal 1729 ai giorni nostri Regione Autonoma Friuli—Venezia Giulia. Direzione Regionale dell’ Ambiente Trieste 0, 178.
Francé, J., and Mozetič, P. (2006). Ecological characterization of toxic phytoplankton species (Dinophysis spp., Dinophyceae) in Slovenian mariculture areas (Gulf of Trieste, Adriatic Sea) and the implications for monitoring. Mar. Pollut. Bull. 52, 1504–1516. doi: 10.1016/j.marpolbul.2006.05.012
Funkey, C. P., Conley, D. J., Reuss, N. S., Humborg, C., Jilbert, T., and Slomp, C. P. (2014). Hypoxia sustains cyanobacteria blooms in the Baltic Sea. Environ. Sci. Technol. 48, 2598–2602. doi: 10.1021/es404395a
Furnas, M., Alongi, D., McKinnon, D., Trott, L., and Skuza, M. (2011). Regional-scale nitrogen and phosphorus budgets for the northern (14°S) and central (17° S) Great Barrier Reef shelf ecosystem. Cont. Shelf. Res. 31, 1967–1990. doi: 10.1016/j.csr.2011.09.007
Furnas, M., Mitchell, A., Skuza, M., and Brodie J. (2005). In the other 90%: phytoplankton responses to enhanced nutrient availability in the Great Barrier Reef Lagoon. Mar. Pollut. Bull. 51, 253–265. doi: 10.1016/j.marpolbul.2004.11.010
Furnas, M. J., Mitchell, A., and Skuza, M. (1997). “Shelf scale nitrogen and phosphorus budgets for the Central Great Barrier Reef (16–19 S),” in Proceedings of the 8th International Coral Reef Symposium, vol 1, eds H.A. Lessios and I.G. Macintyre (Panama City, Panama), 809–814.
Giani, M., Djakovac, T., Degobbis, D., Cozzi, S., Solidoro, C., and Fonda Umani, S. (2012). Recent changes in the marine ecosystems of the northern Adriatic Sea. Estuar. Coast. Shelf Sci. 115, 1–13. doi: 10.1016/j.ecss.2012.08.023
Giani, M., Savellia, F., Berto, D., Zangrando, V., Ćosović, B., and Vojvodić, V. (2005). Temporal dynamics of dissolved and particulate organic carbon in the northern Adriatic Sea in relation to the mucilage events. Sci. Total Environ. 353, 126–138. doi: 10.1016/j.scitotenv.2005.09.062
Glibert, P. M. (2017). Eutrophication, harmful algae and biodiversity – challenging paradigms in a world of complex nutrient changes. Mar. Pollut. Bull. 124, 591–606. doi: 10.1016/j.marpolbul.2017.04.027
Glibert, P. M., Al-Azri, A., Allen, J. I, Bouwman, A. F., Beusen, A.H.W., Burford, M.A. et al. (2018). “Key questions and recent research advances on harmful algal blooms in relation to nutrients and eutrophication,” in Global Ecology and Oceanography of Harmful Algal Blooms, eds P. Glibert, E. Berdalet, M. Burford, G. Pitcher, M. Zhou M. Ecological Studies (Berlin: Springer), 229–259. doi: 10.1007/978-3-319-70069-4_12
Glibert, P. M., Magnien, R., Lomas, M. W., Alexander, J., Fan, C., Erin, H., et al. (2001). Harmful algal blooms in the Chesapeake and coastal bays of Maryland, USA: comparison of 1997, 1998, and 1999 events. Estuaries 24, 875–883.
Glibert, P. M., Mayorga, E., and Seitzinger, S. (2008). Prorocentrum minimum tracks anthropogenic nitrogen and phosphorus inputs on a global basis: application of spatially explicit nutrient export models. Harmful Algae 8, 33–38. doi: 10.1016/j.hal.2008.08.023
Gobler, C. J., Doherty, O. M., Hattenrath-Lehmann, T. K., Griffith, A. W., Kang, Y., and Litaker, R. W. (2017). Ocean warming since 1982 has expanded the niche of toxic algal blooms in the North Atlantic and North Pacific oceans. Proc. Nat. Acad. Sci. U.S.A. 114, 4975–4980. doi: 10.1073/pnas.1619575114
Goldewijk, K. K., Beusen, A., van Drecht, G., and de Vos, M. (2011). The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years. Glob. Ecol. Biogeogr. 20, 73–86. doi: 10.1111/j.1466-8238.2010.00587.x
Gomez, F. A., Lee, S. -K., Liu, Y., Hernandez F. J. Jr., Muller-Karger, F. E., and Lamkin, J. T. (2018). Seasonal patterns in phytoplankton biomass across the northern and deep Gulf of Mexico: a numerical model study. Biogeosciences 15, 3561–3576. doi: 10.5194/bg-15-3561-2018
Goolsby, D. A., Battaglin, W. A., Lawrence, G. B., Artz, R. S., Aulenbach, B. T., Hooper, R. P., et al. (1999). “Flux and Sources of Nutrients in the Mississippi-Atchafalaya River Basin: Topic 3 Report for the Integrated Assessment of Hypoxia in the Gulf of Mexico,” NOAA Coastal Ocean Program Decision Analysis Series No. 17∗. (Silver Spring, MD: NOAA Coastal Ocean Office).
Green, P. A., Vörösmarty, C. J., Meybeck, M., Galloway, J. N., Peterson, B. J., and Boyer, E. W. (2004). Pre-industrial and contemporary fluxes of nitrogen through rivers: a global assessment based on typology. Biogeochemistry 68, 71–105. doi: 10.1023/b:biog.0000025742.82155.92
Große, F., Fennel, K., Zhang, H., and Laurent, A. (2020). Quantifying the contributions of riverine vs. oceanic nitrogen to hypoxia in the East China Sea. Biogeosciences 17, 2701–2714. doi: 10.5194/bg-17-2701-2020
Gustafsson, B. G., Schenk, F., Blenckner, T., Eilola, K., Meier, H. E. M., Müller-Karulis, B., et al. (2012). Reconstructing the development of Baltic Sea eutrophication 1850–2006. Ambio 41, 534–548. doi: 10.1007/s13280-012-0318-x
Harding, L. W. Jr., Mallonee, M. E., and Perry, E. S. (2002). Toward a predictive understanding of primary productivity in a temperate, partially stratified estuary. Estuar. Coast. Shelf Sci. 55, 437–463. doi: 10.1006/ecss.2001.0917
Harding, L. W. Jr., Mallonee, M. E., Perry, E. S., Miller, W. D., Adolf, J. E., Gallegos, C. L., and Paerl, H. W. (2019). Long-term trends, current status, and transitions of water quality in Chesapeake Bay. Sci. Rep. 9, 6709–6728.
Harding, L.W. Jr, Degobbis, D., and Precali, R. (1999). “Production and fate of phytoplankton: Annual cycles and interannual variability,” in Ecosystems at the Land-Sea Margin: Drainage Basin to the Coastal Sea, eds T.C. Malone, A. Malej, L.W. Harding, and N. Smodlaka, (Washington, DC: AGU), 131–172. doi: 10.1029/ce055p0131
Harding L. W. Jr., Mallonee, M. E., Perry, E. S., Miller, D., Adolf, J. E., Gallegos, C. L., and Paerl, H. W. (2020). Seasonal to inter-annual variability of primary production in Chesapeake Bay: prospects to reverse eutrophication and change trophic classification. Sci. Rep. 10:2019. doi: 10.1038/s41598-020-58702-3
Harris, G. P. (2001). Biogeochemistry of nitrogen and phosphorus in Australian catchments, rivers and estuaries: effects of land use and flow regulation and comparisons with global patterns. Mar. Freshw. Res. 52, 139–149.
Heil, C. A., Glibert, P. M., and Fan, C. (2005). Prorocentrum minimum (Pavillard) Schiller. A review of a harmful algal bloom species of growing worldwide importance. Harmful Algae 4, 449–470. doi: 10.1016/j.hal.2004.08.003
Heisler, J., Glibert, P., Burkholder, J., Anderson, D., Cochlan, W., and Dennison, W. et al. (2008). Eutrophication and harmful algal blooms: a scientific consensus. Harmful Algae 8, 3–13. doi: 10.1016/j.hal.2008.08.006
HELCOM (2009). Eutrophication in the Baltic Sea – An integrated thematic assessment of the effects of nutrient enrichment and eutrophication in the Baltic Sea region. Baltic Sea Environ. Proc. No. 115B. Helsinki: HELCOM.
HELCOM (2018b). “Implementation of the Baltic Sea Action Plan 2018: Three years left to good environmental status,” in Proceedings of the Brussels Ministerial Meeting, (Brussels:Baltic Marine Environment Protection Commission).
Hieronymus, J., Eilola, K., Hieronymus, M., Meier, H. E. M., Saraiva, S., and Karlson, B. (2018). Causes of simulated long-term changes in phytoplankton biomass in the Baltic proper: a wavelet analysis. Biogeosciences 15, 5113–5129. doi: 10.5194/bg-15-5113-2018
Hirsch, R. M. (2012). Flux of Nitrogen, Phosphorus, and Suspended Sediment from the Susquehanna River Basin to the Chesapeake Bay during Tropical Storm Lee, September 2011, as an Indicator of the Effects of Reservoir Sedimentation on Water Quality. U.S. Geological Survey Scientific Investigations Report 2012–5185. (Reston, VI: USGS).
Hoagland, P. and Scatasta, S. (2006). “The economic effects of harmful algal blooms,” in Ecology of Harmful Algae, eds E. Granéli and J.T. Turner, (New York, NY, Springer-Verlag) 391–402. doi: 10.1007/978-3-540-32210-8_30
Honsell, G., Poletti, R., and Pompei, M. (1996). “Alexandrium minutum Halim and PSP contamination in the northern Adriatic Sea (Mediterranean Sea),” in Harmful and Toxic Algal Blooms, Proceedings of the 7th International Conference of Toxic Phytoplankton, Sendai, Japan, eds T. Yasumoto, Y. Oshima, and Y. Fukuyo (Paris: UNESCO-IOC), 77–80.
Hopkins, T. S. (1999). Physical control of the eutrophic response in the northern Adriatic Sea, illustrated by a nitrogen budget from ELNA data. Eutrophic Limits of the Northern Adriatic. Ann. dell’Istit. Superiore Sanita 35, 355–363.
Howard, M. D. A., Kudela, R. M., and McLaughlin, K. (2017). New insights into impacts of anthropogenic nutrients on urban ecosystem processes on the Southern California coastal shelf: introduction and synthesis. Estuar. Coast. Shelf Sci. 186, 163–170. doi: 10.1016/j.ecss.2016.06.028
Howarth, R. W., Billen, G., and Swaney, D. (1996). Regional nitrogen budgets and riverine N & P fluxes for the drainages to the North Atlantic Ocean: natural and human influences. Biogeochemistry 35, 75–139. doi: 10.1007/978-94-009-1776-7_3
Howarth, R. W., and Marino, R. (2006). Nitrogen as the limiting nutrient for eutrophication in coastal marine ecosystems: evolving views over three decades. Limnol. Oceanogr. 51, 364–376. doi: 10.4319/lo.2006.51.1_part_2.0364
Huang, T.-H., Chen, C.-T. A., Lee, J., Wu, C.-R., Wang, Y.-L., Bai, Y., He, X., et al. (2019). East China Sea increasingly gains limiting nutrient P from South China Sea. Sci. Rep. 9:5648. doi: 10.1038/s41598-019-42020-42024
Imperial, M. T., and Hennessey, T. M. (1996). An ecosystem-based approach to managing estuaries: an assessment of the National Estuary Program. Coast. Manag. 24, 115–139. doi: 10.1080/08920759609362286
IPCC (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge: Cambridge University Press.
Jickells, T. D., Buitenhuis, E., Altieri, K., Baker, A. R., Capone, D., and Duce, R. A. et al. (2017). A reevaluation of the magnitude and impacts of anthropogenic atmospheric nitrogen inputs on the ocean. Glob. Biogeochem. Cycles 31, 289–305.
Jochimsen, M. C., Kiimmerlin, R., and Straile, D. (2013). Compensatory dynamics and the stability of phytoplankton biomass during four decades of eutrophication and oligotrophication. Ecol. Lett. 16, 81–89. doi: 10.1111/ele.12018
Joint Research Centre [JRC] (2014). Managing Nitrogen, and Phosphorus Loads to Water Bodies: Characterization, and Solutions, Towards Macro-Regional Integrated Nutrient Management. Technical Report of the Joint Research Centre of the European Commission, (ISPRA: JRC).
Jokinen, S. A., Virtasalo, J. J., Jilbert, T., Kaiser, J., Dellwig, O., Arz, H. W., et al. (2018). A 1500-year multiproxy record of coastal hypoxia from the northern Baltic Sea indicates unprecedented deoxygenation over the 20th century. Biogeosciences 15, 3975–4001. doi: 10.5194/bg-15-3975-2018
Jørgensen, B. B., and Richardson, K. (eds) (1996). Eutrophication in Coastal Marine Ecosystems, Volume 52, Coastal and Estuarine Studies series, Washington, DC: American Geophysical Union. doi: 10.1029/CE052
Kellogg, M. L., Smyth, A. R., Luckenbach, M. W., Carmichael, R. H., Brown, B. L., and Cornwell, J. C. et al. (2014). Use of oysters to mitigate eutrophication in coastal waters. Estuar. Coast. Shelf Sci. 151, 156–168. doi: 10.1016/j.ecss.2014.09.025
Kemp, W. M., Boynton, W. R., Adolf, J. E., Boesch, D. F., Boicourt, W. C., Brush, G., et al. (2005). Eutrophication of Chesapeake Bay: historical trends and ecological interactions. Mar. Ecol. Progr. Ser. 303, 1–29. doi: 10.3354/meps303001
Kerbrat, A. S., Amzil, Z., Pawlowiez, R., Golubic, S., Sibat, M., Darius, H. T., et al. (2011). First evidence of palytoxin and 42-Hydroxy-palytoxin in the marine cyanobacterium Trichodesmium. Mar. Drugs 9, 543–560. doi: 10.3390/md9040543
Kim, H.-C., Yamaguchi, H., Yoo, S., Zhu, J., Okamura, K., Kiyomoto, Y., et al. (2009). Distribution of Changjiang diluted water detected by the satellite chlorophyll-a and its interannual variation during 1998–2007, J. Oceanogr. 65, 129–135. doi: 10.1007/s10872-009-0013-0
Koch, E. W., Barbier, E. B., Silliman, B. R., Reed, D. J., Perillo, G. M. E., Hacker, S. D., et al. (2009). Non-linearity in ecosystem services: temporal and spatial variability in coastal protection. Front. Ecol. Environ. 7, 29–37. doi: 10.1890/080126
Kong, C. E., Yoo, S., and Jang, C. J. (2019). East China Sea ecosystem under multiple stressors: heterogeneous responses in the sea surface chlorophyll-a. Deep Sea Res. Part I, 151:103078. doi: 10.1016/j.dsr.2019.103078
Kotta, J., Futter, M., Kaasik, A., Liversage, K., Rätsep, M., Barboza, F. R., et al. (2020). Cleaning up seas using blue growth initiatives: mussel farming for eutrophication control in the Baltic Sea. Sci. Total Environ. 709:136144. doi: 10.1016/j.scitotenv.2019.136144
Kroon, F. J., Kuhnert, P. M., Henderson, B. L., Wilkinson, S. N., Kinsey-Henderson, A., Abbott, B., et al. (2012). River loads of suspended solids, nitrogen, phosphorus and herbicides delivered to the Great Barrier Reef lagoon. Mar. Poll. Bull. 65, 167–181. doi: 10.1016/j.marpolbul.2011.10.018
Kudela, R. M., Seeyave, S., and Cochlan, W. P. (2010). The role of nutrients in regulation and promotion of harmful algal blooms in upwelling systems. Progr. Oceanogr. 85, 122–135. doi: 10.1016/j.pocean.2010.02.008
Lamsal, L. N., Martin, R. V., Padmanabhan, A., van Donkelaar, A., Zhang, Q., Sioris, C. E., et al. (2011). Application of satellite observations for timely updates to global anthropogenic NOx emission inventories. Geophys. Res. Lett. 38:L05810. doi: 10.1029/2010GL046476
Laurent, A., Fennel, K., Ko, D. S., and Lehrter, J. (2018). Climate change projected to exacerbate impacts of coastal eutrophication in the northern Gulf of Mexico. J. Geophys. Res. Oceans 123, 3408–3426. doi: 10.1002/2017JC013583
Lee, R. Y., Seitzinger, S., and Mayorga, E. (2016). Land-based nutrient loading to LMEs: a global watershed perspective on magnitudes and sources. Environ. Dev. 17, 220–229. doi: 10.1016/j.envdev.2015.09.006
Levin, L. A., Ekau, W., Gooday, A. J., Jorissen, F., Middelburg, J. J., Naqvi, S. W. A., et al. (2009). Effects of natural and human-induced hypoxia on coastal benthos. Biogeosciences 6, 2063–2098. doi: 10.5194/bg-6-2063-2009
Li, H-.M., Tang, H.-J., Shi, X. Y., Zhang, C-S., and Wang, X. L. (2014). Increased nutrient loads from the Changjiang (Yangtze) River have led to increased harmful algal blooms. Harmful Algae 39, 92–101. doi: 10.1016/j.hal.2014.07.002
Li, L., Jingyi, C., Lei, C., and Songhui, L. (2019). Response of size-fractionated phytoplankton to environmental factors near the Changjiang Estuary. Acta Oceanol. Sin. 38, 151–159. doi: 10.1007/s13131-018-1259-4
Li, M., Lee, Y. J., Testa, J. M., Li, Y., Ni, W., Kemp, W. M., and Di Toro, D. M. (2016). What drives interannual variability of estuarine hypoxia: climate forcing versus nutrient loading? Geophys. Res. Lett. 43, 2127–2134. doi: 10.1002/2015gl067334
Li, X., Yu, Z., Song, X., Cao, X., and Yuan, Y. (2011). The seasonal characteristics of dissolved oxygen distribution and hypoxia in the Changjiang Estuary. J. Coast. Res. 27, 52–62. doi: 10.2112/jcoastres-d-11-00013.1
Lignell, R., Heiskanen, A.-S., Kuosa, H., Gundersen, K., Kuuppo-Leinikki, P., Pajuniemi, R., et al. (1993). Fate of a phytoplankton spring bloom: sedimentation and carbon flow in the planktonic food web in the northern Baltic. Mar. Ecol. Prog. Ser. 94, 239–252. doi: 10.3354/meps094239
Lin, C. H., Lyubchich, V., and Glibert, P. M. (2018). Time series models of decadal trends in the harmful algal species Karlodinium veneficum in Chesapeake Bay. Harmful Algae 73, 110–118. doi: 10.1016/j.hal.2018.02.002
Lin, X., Liu, M., Hou, L., Gao, D., Li, X., Lu, K., et al. (2017). Nitrogen losses in sediments of the East China Sea: spatiotemporal variations, controlling factors, and environmental implications. J. Geophys. Res. Biogeosci. 122, 2699–2715. doi: 10.1002/2017jg004036
Liu, K.-K., Yan, W., Lee, H.-J., Chao, S.-Y., Gong, G. C., and Yeh, T.-Y. (2015). Impacts of increasing dissolved inorganic nitrogen discharged from Changjiang on primary production and seafloor oxygen demand in the East China Sea from 1970 to 2002. J. Mar. Syst. 141, 200–217. doi: 10.1016/j.jmarsys.2014.07.022
Liu, Y., Engel, B. A., Flanagan, D. C., Gitau, M. W., McMillan, S. K., and Chaubey, I. (2017). A review on effectiveness of best management practices in improving hydrology and water quality: needs and opportunities. Sci. Total Environ. 60, 580–593. doi: 10.1016/j.scitotenv.2017.05.212
Lohrenz, S. E., Fahnenstiel, G. L., Redalje, D. G., Lang, G. A., Chen, X., and Dagg, M. J. (1997). Variations in primary production of northern Gulf of Mexico continental shelf waters linked to nutrient inputs from the Mississippi River. Mar. Ecol., Prog. Ser. 155, 45–54. doi: 10.3354/meps155045
Lohrenz, S. E., Fahnenstiel, G. L., Redalje, D. G., Lang, G. A., Dagg, M. J., Whitledge, T. E., et al. (1999). Nutrients, irradiance, and mixing as factors regulating primary production in coast waster impacted by the Mississippi River plume. Cont. Shelf Res. 19, 1113–1141. doi: 10.1016/s0278-4343(99)00012-6
Lu, C., and Tian, H. (2017). Global nitrogen and phosphorus fertilizer use for agriculture production in the past half century: shifted hot spots and nutrient imbalance. Earth Syst. Sci. Data 9, 181–192. doi: 10.5194/essd-9-181-2017
Ma, L., Zhang, W. F., Ma, W. Q., Velthof, G. L., Oenema, O., Zhang, F. S., et al. (2013). An analysis of developments and challenges in nutrient management in China. J. Environ. Qual. 42, 951–961. doi: 10.2134/jeq2012.0459
Mackey, K. R. M., Kavanaugh, M. T., Wang, F., Chen, Y., Liu, F., Glover, D. M., et al. (2017). Atmospheric and fluvial nutrients fuel algal blooms in the East China Sea. Front. Mar. Sci. 4:2. doi: 10.3389/fmars.2017.00002
Malone, T. C., Boynton, W., Horton, T., and Stevenson, C. (1993). “Nutrient loadings to surface waters: chesapeake bay case study,” in Keeping Pace with Science and Engineering: Case Studies in Environmental Regulation, ed. M. F. Uman (Washington, D.C: National Academy Press), 8–38.
Malone, T. C., Crocker, L. H., Pike, S. E., and Wendler, B. W. (1988). Influences of river flow on the dynamics of phytoplankton production in a partially stratified estuary. Mar. Ecol. Progr. Ser. 48, 235–249. doi: 10.3354/meps048235
Malone, T. C., DiGiacomo, P. M., Gonçalves, E., Knap, A. H., Talaue-McManus, L., and de Mora, S. (2014). A global ocean observing system framework for sustainable development. Mar. Pol. 43, 262–272. doi: 10.1016/j.marpol.2013.06.008
Marini, M., Jones, B. H., Campanelli, A., Grilli, F., and Lee, C. M. (2008). Seasonal variability and Po River plume influence on biochemical properties along western Adriatic coast. J. Geophys. Res. 113:C05S90. doi: 10.1029/2007JC004370
Marino, R., Chan, F., Howarth, R. W., Pace, M., and Likens, G. E. (2002). Ecological and biogeochemical interactions constrain planktonic nitrogen fixation in estuaries. Ecosystems 5, 719–725. doi: 10.1007/s10021-002-0176-7
Marshall, H. G., Lane, M. F., Nesius, K. K., and Burchardt, L. (2009). Assessment and significance of phytoplankton species composition within Chesapeake Bay and Virginia tributaries through a long-term monitoring program. Environ. Monit. Assess. 150, 143–155. doi: 10.1007/s10661-008-0680-0
Martínez, M. L., Intralawan, A., Vázquez, G., Pérez-Maqueo, O., Sutton, P., and Landgrave, R. (2007). The coasts of our world: ecological, economic and social importance. Ecol. Econ. 63, 254–272. doi: 10.1016/j.ecolecon.2006.10.022
McCrackin, M. L., Jones, H. P., Jones, P. C., and Moreno-Mateos, D. (2017). Recovery of lakes and coastal marine ecosystems from eutrophication: a global meta-analysis. Limnol. Oceanogr. 62, 507–518. doi: 10.1002/lno.10441
McPhee-Shaw, E. E., Siegel, D. A., Washburn, L., Brzezinski, M. A., Jones, J. L., Leydecker, A., et al. (2007). Mechanisms for nutrient delivery to the inner shelf: observations from the Santa Barbara Channel. Limnol. Oceanogr. 52, 1748–1766. doi: 10.4319/lo.2007.52.5.1748
Messer, L. F., Brown, M. V., Furnas, M. J., Carney, R. L., McKinnon, A. D., and Seymour, J. R. (2017). Diversity and activity of diazotrophs in Great Barrier Reef surface waters. Front. Microbiol. 8:967. doi: 10.3389/fmicb.2017.00967
Mikaelyan, A. S., Malej, A., Shiganova, T. A., Turk, V., Sivkovitch, A. E., Musaeva, E. I., et al. (2014). Populations of red tide forming dinoflagellate Noctiluca scintillnas (McCartney): a comparison between the Black Sea and the northern Adriatic Sea. Harmful Algae 33, 29–40. doi: 10.1016/j.hal.2014.01.004
Mozetič, P., Solidoro, C., Cossarini, Socal, G., Precali, R., Francé, J., et al. (2010). Recent trends towards oligotrophication of the northern Adriatic: evidence from chlorophyll a time series. Estuar. Coasts 33, 362–375. doi: 10.1007/s12237-009-9191-7
Murphy, R. R., Kemp, W. M., and Ball, W. P. (2011). Long-term trends in Chesapeake Bay seasonal hypoxia, stratification, and nutrient loading. Estuar. Coasts 34, 1293–1309. doi: 10.1007/s12237-011-9413-7
Neumann, B., Vafeidis, A. T., Zimmermann, J., and Nicholls, R. J. (2015). Future coastal population growth and exposure to sea-level rise and coastal flooding - A Global Assessment. PLoS One 10:e0118571. doi: 10.1371/journal.pone.0118571
Newell, R. I. E. (1988). “Ecological changes in Chesapeake Bay: are they the result of overharvesting the American oyster (Crassostrea virginica)?,” in Understanding the Estuary – Advances in Chesapeake Bay Research, Vol. 129, eds M. P. Lynch and E. C. Krome (Baltimore, MD: Chesapeake Research Consortium), 536–546.
Newton, A., Icely, J. D., Falcão, M., Nobre, A., Nunes, J. P., Ferreira, J. G., et al. (2003). Evaluation of eutrophication in the Ria Formosa coastal lagoon. Portugal. Continental Shelf Res. 23, 1945–1961. doi: 10.1016/j.csr.2003.06.008
Ngatia, L., Grace, J. M. III, Moriasi, D., and Taylor, R. (2019). “Nitrogen and phosphorus eutrophication in marine ecosystems,” in Monitoring of Marine Pollution, ed. H. B. Fouzia (London: IntechOpen), doi: 10.5772/intechopen.81869
Ninfo, A., Ciavola, P., and Billi, P. (2018). The Po Delta is restarting progradation: geomorphological evolution based on a 47-years Earth Observation dataset. Sci. Rep. 8:3457. doi: 10.1038/s41598-018-21928-3
Officer, C. B., Biggs, R. B., Taft, J. L., Cronin, L. E., Tyler, M. A., and Boynton, W. R. (1984). Chesapeake Bay anoxia: origin, development, and significance. Science 223, 22–27. doi: 10.1126/science.223.4631.22
O’Higgins, T., Tett, P., Farmer, A., Cooper, P., Dolch, T., Friedrich, et al. (2014). Temporal constraints on ecosystem management: definitions and examples from Europe’s regional seas. Ecol. Soc. 19:46. doi: 10.5751/ES-06507-190446
Ohkushi, K., Kennett, J. P., Zeleski, C. M., Moffitt, S. E., Hill, T. M., Robert, C., et al. (2013). Quanti?ed intermediate water oxygenation history of the NE Paci?c: a new benthic foraminiferal record from Santa Barbara basin. Paleoceanography 28, 453–467. doi: 10.1002/palo.20043
Olofsson, M., Klawonn, I., and Karlson, B. (2020). Nitrogen fixation estimates for the Baltic Sea indicate high rates for the previously overlooked Bothnian Sea. Ambio doi: 10.1007/s13280-020-01331-x [Online ahead of print]
O’Reilly, J. E. (2017). Transboundary Waters Assessment Programme (TWAP), Status and Trends in primary productivity and chlorophyll from 1996 to 2014 in Large Marine Ecosystems and the Western Pacific Warm Pool, based on data from satellite ocean colour sensors. Paris: IOC-UNESCO.
Orth, R. J., Marion, S. R., Moore, K. A., and Wilcox, D. J. (2010). Eelgrass (Zostera marina L.) in the Chesapeake Bay region of Mid-Atlantic Coast of the USA: challenges in conservation and restoration. Estuar. Coasts 33, 139–150. doi: 10.1007/s12237-009-9234-0
Ott, J. (1992). “The Adriatic benthos: problems and perspectives,” in Proceedings of the Marine Eutrophication and Population Dynamics, 25th European Marine Biology Symposium, eds G. Colombo, L. Ferrari, V. U. Ceccherelli, and R. Rossi (Ferrara: University of Ferrara), 367–378.
Paerl, H. W. (2006). Assessing and managing nutrient-enhanced eutrophication in estuarine and coastal waters: interactive effects of human and climatic perturbations. Ecol. Eng. 26, 40–54. doi: 10.1016/j.ecoleng.2005.09.006
Paerl, H. W., Hall, N. S., Hounshell, A. G., Luettich, R. A. Jr., Rossignol, K. L., Osburn, C. L., et al. (2019). Recent increase in catastrophic tropical cyclone flooding in coastal North Carolina. USA: long-term observations suggest a regime shift. Nat. Sci. Rep. 9:10620. doi: 10.1038/s41598-019-46928-9
Paerl, H. W., Hall, N. S., Peierls, B. L., and Rossignol, K. L. (2014). Evolving paradigms and challenges in estuarine and coastal eutrophication dynamics in a culturally and climatically stressed world. Estuar. Coasts 37, 243–258. doi: 10.1007/s12237-014-9773-x
Paerl, H. W., Scott, J. T., McCarthy, M. J., Newell, S. E., Gardner, W. S., Havens, K. E., et al. (2016). It takes two to tango: when and where dual nutrient (N & P) reductions are needed to protect lakes and downstream ecosystems. Environ. Sci. Technol. 50, 10805–10813. doi: 10.1021/acs.est.6b02575
Parsons, M. L., and Dortch, Q. (2002). Sedimentological evidence of an increase in Pseudo-nitzschia (Bacillariophyceae) abundance in response to coastal eutrophication. Limnol. Oceanogr. 47, 551–558. doi: 10.4319/lo.2002.47.2.0551
Penuelas, J., Poulter, B., Sardans, J., Ciais, P., van der Velde, M., Bopp, L., et al. (2013). Human-induced nitrogen–phosphorus imbalances alter natural and managed ecosystems across the globe. Nat. Commun. 4:2934. doi: 10.1038/ncomms3934
Pettine, M., Patrolecco, L., Camusso, M., and Crescenzio, S. (1998). Transport of carbon and nitrogen to the Northern Adriatic Sea by the Po River. Estuar. Coast. Shelf Sci. 46, 127–142. doi: 10.1006/ecss.1997.0303
Piontek, J., Endres, S., Le Moigne, F. A. C., Schartau, M., and Engel, A. (2019). Relevance of nutrient-limited phytoplankton production and its bacterial remineralization for carbon and oxygen fluxes in the Baltic Sea. Front. Mar. Sci. 6:581. doi: 10.3389/fmars.2019.00581
Pistocchi, R., Guerrini, F., Pezzolesi, L., Riccardi, M., Vanucci, S., Ciminiello, P., et al. (2012). Toxin levels and profiles in microalgae from the north-western Adriatic Sea – 15 years of studies on cultured species. Mar. Drugs 10, 140–162. doi: 10.3390/md10010140
Poikane, S., Kelly, M. G., Herrero, F. S., Pitt, J.-A., Jarvie, H. P., Claussen, U., et al. (2019). Nutrient criteria for surface waters under the European Water Frame-work Directive: current state-of-the-art, challenges and future outlook. Sci. Total Environ. 695:133888. doi: 10.1016/j.scitotenv.2019.133888
Pokhrel, B. K., and Paudel, K. P. (2019). Assessing the efficiency of alternative best management practices to reduce nonpoint source pollution in a rural watershed located in Louisiana. USA. Water 11:1714. doi: 10.3390/w11081714
Polimene, L., Pinardi, N., Zavatarelli, M., and Colella, S. (2006). The Adriatic Sea ecosystem seasonal cycle: validation of a three-dimensional numerical model. J. Geophys. Res. 111:C03S19. doi: 10.1029/2005JC003260
Pugnetti, A., Armeni, M., Camatti, E., Crevatin, E., Dell’Anno, A., Del Negro, P., et al. (2005). Imbalance between phytoplankton production and bacterial carbon demand in relation to mucilage formation in the Northern Adriatic Sea. Sci. Total Environ. 353, 162–177. doi: 10.1016/j.scitotenv.2005.09.014
Pugnetti, A., Camatti, E., Mangoni, O., Morabito, G., Oggioni, A., and Saggiomo, V. (2006). Phytoplankton production in Italian freshwater and marine ecosystems: state of art and perspectives. Chem. Ecol. 22, S49–S69.
Pulido-Velazquez, M., and Ward, F. A. (2017). “Comparison of Water Management Institutions and Approaches in the United States and Europe—What Can We Learn from Each Other?,” in Competition for Water Resources Experiences and Management Approaches in the US and Europe, eds J. R. Ziolkowska and J. M. Peterson (Amsterdam: Elsevier), 423–444.
Qian, W., Dai, M., Xu, M., Kao, S., Du, C., Liu, J., et al. (2107). Non-local drivers of the summer hypoxia in the East China Sea off the Changjiang Estuary. Estuar. Coast. Shelf Sci. 198(Part B), 393–399. doi: 10.1016/j.ecss.2016.08.032
Rabalais, N. N., Diaz, R. J., Levin, L. A., Turner, R. E., Gilbert, D., and Zhang, J. (2010). Dynamics and distribution of natural and human-caused hypoxia. Biogeosciences 7, 585–619. doi: 10.5194/bg-7-585-2010
Rabouille, C., Conley, D. J., Dai, M. H., Cai, W.-J., Chen, C. T. A., Lansard, B., et al. (2008). Comparison of hypoxia among four river-dominated ocean margins: the Changjiang (Yangtze), Mississippi, Pearl, and Rhone Rivers. Cont. Shelf Res. 28, 1527–1537. doi: 10.1016/j.csr.2008.01.020
Reece, K. S. (2015). “Monitoring for HAB species in VA waters of Chesapeake Bay during 2015: emerging HAB species in Chesapeake Bay,” in Annual report to the Virginia Department of Health (#VIMSHAB617FY16), (Richmond, VA).
Revelante, N., and Gilmartin, M. (1992). The lateral advection of particulate organic matter from the Po delta region during summer stratification, and its implications for the Northern Adriatic. Estuar. Coast. Shelf Sci. 35, 191–212. doi: 10.1016/s0272-7714(05)80113-1
Richardson, A. J., Bakun, A., Hays, G. C., and Gibbons, M. J. (2009). The jellyfish joyride: causes, consequences and management responses to a more gelatinous future. Trends Ecol. Evol. 24, 312–322. doi: 10.1016/j.tree.2009.01.010
Riedel, B., Zuschin, M., and Stachowitsch, M. (2008). “Dead zones: a future worst-case scenario for Northern Adriatic biodiversity,” in CIESM Workshop Monographs, No. 35, Ed. F. Briand (Monaco: CIESM Publisher).
Sangiorgi, F., and Donders, T. H. (2004). Reconstructing 150 years of eutrophication in the north-western Adriatic Sea (Italy) using dinoflagellate cysts, pollen and spores. Estuar. Coast. Shelf Sci. 60, 69–79. doi: 10.1016/j.ecss.2003.12.001
Schmale, O., Krause, S., Holtermann, P., Guerra, N. C. P., and Umlauf, L. (2016). Dense bottom gravity currents and their impact on pelagic methanotrophy at oxic/anoxic transition zones. Geophys. Res. Lett. 43, 5225–5232. doi: 10.1002/2016gl069032
Schnetzer, A., Jones, B. H., Schaffner, R. A., Cetinić, I., Fitzpatrick, E., Miller, P. E., et al. (2013). Coastal upwelling linked to toxic Pseudo-nitzschia australis blooms in Los Angeles coastal waters, 2005–2007. J. Plankton Res. 35, 1080–1092. doi: 10.1093/plankt/fbt051
Seitzinger, S. P., Mayorga, E., Bouwman, A. F., Kroeze, C., Beusen, A. H. W., Billen, G., et al. (2010). Global river nutrient export: a scenario analysis of past and future trends. Glob. Biogeochem. Cycles 24:GB0A08. doi: 10.1029/2009GB003587
Sellner, K. G., and Fonda Umani, S. (1999). “Dinoflagellate blooms and mucilage production,” in Ecosystems at the Land–Sea Margin: Drainage Basin to Coastal Sea, Vol. 55, eds T. C. Malone, A. Malej, L. W. Harding, N. Smodlaka, and R. E. Turner (Washington, DC: American Geophysical Union), 173–206. doi: 10.1029/ce055p0173
Sipiä, V. O., Lahti, K., Kankaanpää, H. T., Vuorinen, P. J., Meriluoto, J. A. O. (2002). Screening for cyanobacterial hepatotoxins in herring and salmon from the Baltic Sea. Aquatic Ecosyst. Health Manag. 5, 451–456. doi: 10.1080/14634980290001959
Skinner, M. P., Lewis, R. J., and Morton, S. (2013). Ecology of the ciguatera causing dinoflagellates from the Northern Great Barrier Reef: changes in community distribution and coastal eutrophication. Mar. Pollut. Bull. 77, 210–219. doi: 10.1016/j.marpolbul.2013.10.003
Smith, E. M., and Kemp, W. M. (1995). Seasonal and regional variations in plankton community production and respiration for Chesapeake Bay. Mar. Ecol. Progr. Ser. 116, 217–231. doi: 10.3354/meps116217
Smith, S. V., Swaney, D. P., Talaue-McManus, L., Bartley, J. D., Sandhei, P. T., McLaughlin, C. J., et al. (2003). Humans, hydrology, and the distribution of inorganic nutrient loading to the ocean. BioScience 53, 235–245.
Solidoro, C., Bastianini, M., Bandelj, V., Codermatz, R., Cossarini, G., Canu, D. M., et al. (2009). Current state, scales of variability and decadal trends of biogeochemical properties in the Northern Adriatic Sea. J. Geophysical Res. 114:C07S91. doi: 10.1029/2008JC004838
Sonesten, L., Svendsen, L. M., Tornbjerg, H., Gustafsson, B., Frank-Kamenetsky, D., and Haapaniemi, J. (2018). “Sources and pathways of nutrients to the Baltic Sea. HELCOM PLC-6,” in Proceedings of the Baltic Sea Environment (Helsinki Commission – HELCOM), Baltic Sea Environment Proceedings, (Gland: IUCN), 153.
Spilling, K., Olli, K., Lehtoranta, J., Kremp, A., Tedesco, L., Tamelander, T., et al. (2018). Shifting diatom-dinoflagellate dominance during spring bloom in the Baltic Sea and its potential effects on biogeochemical cycling. Front. Mar. Sci. 5:327. doi: 10.3389/fmars.2018.00327
Steidinger, K. A., Vargo, G. A., Tester, P. A., Tomas, G. R. (1998). “Bloom dynamics and physiology of Gymnodinium breve, with emphasis on the Gulf of Mexico,” in Physiological Ecology of HarmfulAlgal Blooms, eds E. M. Anderson, A. D. Cembella, and G. M. Hallengraff (New York, NY: Springer), 135–153.
Strain, P. M., and Hargrave, B. T. (2005). “Salmon aquaculture, nutrient fluxes and ecosystem processes in Southwestern New Brunswick,” in Environmental Effects of Marine Finfish Aquaculture, Handbook of Environmental Chemistry, ed. B. T. Hargrave (Berlin: Springer), 29–57. doi: 10.1007/b136003
Strokal, M., Kahil, T., Wada, Y., Albiac, J., Bai, Z., Ermolieva, T., et al. (2020). Cost-effective management of coastal eutrophication: a case study for the Yangtze river basin. Resour. Conserv. Recycl. 154:1046352.
Swaney, D. P., Hong, B., Ti, C., Howarth, R. W., and Humborg, C. (2012). Net anthropogenic nitrogen inputs to watersheds and riverine N export to coastal waters: a brief overview. Curr. Opin. Environ. Sustain. 4, 203–211. doi: 10.1016/j.cosust.2012.03.004
Tang, D., Di, B., Wei, G., Ni, I. H., and Wang, S. (2006). Spatial, seasonal and species variations of harmful algal blooms in the South Yellow Sea and East China Sea. Hydrobiologia 568, 245–253. doi: 10.1007/s10750-006-0108-1
Tango, P., Magnien, R., Butler, W., Luckett, C., Luckenbach, M., Lacouture, R., et al. (2005). Impacts and potential effects due to Prorocentrum minimum blooms in Chesapeake Bay. Harmful Algae 4, 525–531. doi: 10.1016/j.hal.2004.08.014
Testa, J. M., Lyubchich, V., and Zhang, Q. (2019). Patterns and trends in Secchi disk depth over three decades in the Chesapeake Bay estuarine complex. Estuar. Coasts 42, 927–943. doi: 10.1007/s12237-019-00547-9
Theuerkauf, S. J., Eggleston, D. B., and Puckett, B. J. (2019a). Integrating ecosystem services considerations within a GIS-based habitat suitability index for oyster restoration. PLoS One 14:e0210936. doi: 10.1371/journal.pone.0210936
Theuerkauf, S. J., Morris, J. A., Waters, T. J., Wickliffe, L. C., Alleway, H. K., and Jones, R. C. (2019b). A global spatial analysis reveals where marine aquaculture can benefit nature and people. PLoS One 14:e0222282. doi: 10.1371/journal.pone.0222282
Totti, C., Cangini, M., Ferrari, C., Kraus, R., Pompei, M., Pugnettie, A., et al. (2005). Phytoplankton size–distribution and community structure in relation to mucilage occurrence in the northern Adriatic Sea. Sci. Total Environ. 353, 204–217. doi: 10.1016/j.scitotenv.2005.09.028
Totti, C., Romagnoli, T., Accoroni, S., Coluccelli, A., Pellegrini, M., Campanelli, A., et al. (2019). Phytoplankton communities of the northern Adriatic Sea: interdecadal variability over a 30 year period (1988–2016) and relationships with meteoclimatic drivers. J. Mar. Syst. 193, 137–153. doi: 10.1016/j.jmarsys.2019.01.007
Townhill, B. L., Tinker, J., Jones, M., Pitois, S., Creach, V., Simpson, S. D., et al. (2018). Harmful algal blooms and climate change: exploring future distribution changes. ICES J. Mar. Sci. 75, 1882–1893. doi: 10.1093/icesjms/fsy113
Turner, R. E., Rabalais, N. N., Alexander, R. B., McIsaac, G., and Howarth, R. W. (2007). Characterization of nutrient, organic carbon, and sediment loads and concentrations from the Mississippi River into the Northern Gulf of Mexico. Estuar. Coasts 30, 773–790. doi: 10.1007/bf02841333
Ujević, Ž, Ninčević-Gladan, R., Roje, S., Skejić, S., Arapov, J., and Marasović, I. (2010). Domoic acid-a new toxin in the Croatian Adriatic shellfish toxin profile. Molecules 15, 6835–6849. doi: 10.3390/molecules15106835
UNESCO. (2012). Requirements for Global Implementation of the Strategic Plan for Coastal GOOS. GOOS Report 193. Intergovernmental Oceanographic Commission. Paris: UNESCO, 1–20038.
United Nations Environment Programme [UNEP] (2006). Marine, and Coastal Ecosystems, and Human Wellbeing: A Synthesis Report Based on the Findings of the. Millennium Ecosystem Assessment. Nairobi: UNEP.
Valiela, I., Kinney, E., Culbert, J., Peacock, E., and Smith, S. (2009). “Global losses of mangroves and salt marshes,” in Global Loss of Coastal Habitats: Rates, Causes and Consequences, ed. C. M. Duarte (Bilbao: Fundacı’on BBVA), 109–142.
van Drecht, G., Bouwman, A. F., Harrison, J., and Knoop, J. M. (2009). Global nitrogen and phosphate in urban wastewater for the period 1970 to 2050. Glob. Biogeochem. Cycles 23:GB0A03. doi: 10.1029/2009GB003458
Vasas, V., Lancelot, C., Rousseau, V., and Jordán, F. (2007). Eutrophication and overfishing in temperate nearshore pelagic food webs: a network perspective. Mar. Ecol. Prog. Ser. 336, 1–14. doi: 10.3354/meps336001
Vega-Thurber, R. L., Burkepile, D. E., Fuchs, C., Shantz, A. A., McMinds, R., and Zaneveld, J. R. (2014). Chronic nutrient enrichment increases prevalence and severity of coral disease and bleaching. Glob. Change Biol. 20, 544–554. doi: 10.1111/gcb.12450
Vitousek, P. M., Aber, J. D., Howarth, R. W., Likens, G. E., Matson, P. A., Schindler, D. W., et al. (1997). Human alteration of the global nitrogen cycle: sources and consequences. Ecol. Appl. 7, 737–750. doi: 10.1890/1051-0761(1997)007[0737:haotgn]2.0.co;2
Wallace, R. B., Baumann, H., Grear, J. S., Aller, R. C., and Gobler, C. J. (2014). Coastal ocean acidification: the other eutrophication problem. Estuar. Coast. Shelf Sci. 148, 1–13. doi: 10.1016/j.ecss.2014.05.027
Wang, H., Dai, M., Liu, J., Kao, S.-J., Zhang, C., Cai, W.-J., et al. (2016). Eutrophication-driven hypoxia in the East China Sea off the Changjiang Estuary. Environ. Sci. Technol. 50, 2255–2263. doi: 10.1021/acs.est.5b06211
Wang, J., Yan, W., Chen, N., Li, X., and Liu, L. (2015). Modeled long-term changes of DIN: DIP ratio in the Changjiang River in relation to Chl-α and DO concentrations in adjacent estuary. Estuar. Coast. Shelf Sci. 166, 153–160. doi: 10.1016/j.ecss.2014.11.028
Wang, R., Li, X., Hou, L., Liu, M., Zheng, Y., Yin, G., et al. (2018). Nitrogen fixation in surface sediments of the East China Sea: occurrence and environmental implications. Mar. Pollut. Bull. 137, 542–548. doi: 10.1016/j.marpolbul.2018.10.063
Wang, Y., Hendy, I., and Napier, T. J. (2017). Climate and anthropogenic controls of coastal deoxygenation on interannual to centennial timescales. Geophys. Res. Lett. 44, 528–536. doi: 10.1002/2017GL075443
Wang, Y., Jiang, H., Zhang, X., and Jin, J. (2014). Spatial and temporal distribution of sea surface salinity in coastal waters of China based on Aquarius. IOP Conf. Series 17:012116. doi: 10.1088/1755-1315/17/1/012116
Wang, Y., Ridd, P. V., Heron, M. L., Stieglitz, T. C., and Orpin, A. R. (2007). Flushing time of solutes and pollutants in the central Great Barrier Reef lagoon. Australia. Mar. Freshw. Res. 58, 778–791.
Wang, Y.-F., Yu, R.-C., Lu, D.-D., Lü, S.-H., Zhub, D.-D., Zhang, C. S., et al. (2018). Recurrent toxic blooms of Alexandrium spp. in the East China Sea – Potential role of Taiwan Warm Current in bloom initiation. J. Ecol. Toxicol. 2:115.
Warrick, J. A., Washburn, L., Brzezinski, M. A., Siegel, D. A. (2005). Nutrient contributions to the Santa Barbara Channel, California, from the ephemeral Santa Clara River. Estuar. Coast. Shelf Sci. 62, 559–574. doi: 10.1016/j.ecss.2004.09.033
Wasmund, N., Nausch, G., Schneider, B., Nagel, K., and Voss, M. (2005). Comparison of nitrogen fixation rates determined with different methods: a study in the Baltic Proper. Mar. Ecol. Prog. Ser. 297, 23–31. doi: 10.3354/meps297023
Wasmund, N., Voss, M., and Lochte, K. (2001). Evidence of nitrogen fixation by non-heterocystous cyanobacteria in the Baltic Sea and re-calculation of a budget of nitrogen fixation. Mar. Ecol. Prog. Ser. 214, 1–14. doi: 10.3354/meps214001
Waters, C. N., Zalasiewicz, J., Summerhayes, C., Barnosky, A. D., Poirier, C., Gałuszka, A., et al. (2016). The Anthropocene is functionally and stratigraphically distinct from the Holocene. Science 351:aad2622. doi: 10.1126/science.aad2622
Waycott, M., Duarte, C. M., Carruthers, T. J. B., Orth, R. J., Dennison, W. C., Olyarnik, S., et al. (2009). Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proc. Nat. Acad. Sci. U.S.A. 106, 12377–12381. doi: 10.1073/pnas.0905620106
World Water Assessment Programme [WWAP] (2017). The United Nations World Water Development Report 2017. (Wastewater): The Untapped Resource. Paris: United Nations Educational, Scientific and Cultural Organization.
Wu, G., Cao, W., Wang, F., Su, X., Yan, Y., and Guan, Q. (2019). Riverine nutrient fluxes and environmental effects on China’s estuaries. Sci. Total Environ. 661, 130–137. doi: 10.1016/j.scitotenv.2019.01.120
Wurtsbaugh, W. A., Paerl, H. W., and Dodds, W. K. (2019). Nutrients, eutrophication and harmful algal blooms along the freshwater to marine continuum. Wiley Interdiscipl. Rev. 6:e1373. doi: 10.1002/wat2.1373
Xiuren, N., Vaulot, D., Zhensheng, L., and Zilin, L. (1988). Standing stock and production of phytoplankton in the estuary of the Changjiang (Yangtse River) and the adjacent East China Sea. Mar. Ecol. Prog. Ser. 9, 141–150. doi: 10.3354/meps049141
Xu, H., Newton, A., Wolanski, E., and Chen, Z. (2015). The fate of phosphorus in Yangtze Estuary (Changjiang), China, under multi-stressors: hindsight and forecast. Estuar. Coast. Shelf Sci. 163(Part B), 1–6. doi: 10.1016/j.ecss.2015.05.032
Yan, T., Zhou, M.-J., and Zou, J. Z. (2002). “A national report on harmful algal blooms in China,” in Harmful Algal Blooms in the PICES Region of the North Pacific, eds F. J. R. Taylor and L. Vera (Sidney: PICES).
Yan, W., Mayorga, E., Li, X., Seitzinger, S. P., and Bouwman, A. F. (2010). Increasing anthropogenic nitrogen inputs and riverine DIN exports from the Changjiang River basin under changing human pressures. Glob. Biogeochem. Cycles 24:GB0A06. doi: 10.1029/2009GB003575
Zaneveld, J. R., Burkepile, D. E., Shantz, A. A., Pritchard, C. E., McMinds, R., Payet, J. P., et al. (2016). Overfishing and nutrient pollution interact with temperature to disrupt coral reefs down to microbial scales. Nat. Commun. 7:11833. doi: 10.1038/ncomms11833
Zhang, B., Tian, H., Lu, C., Dangal, S. R. S., Yang, J., and Pan, S. (2017). Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling. Earth Syst. Sci. Data 9, 667–678. doi: 10.5194/essd-9-667-2017
Zhang, F., Cui, Z., Chen, X., Ju, X., Shen, J., Chen, Q., et al. (2012). Integrated nutrient management for food security and environmental quality in China. Adv. Agron. 116, 1–40. doi: 10.1016/B978-0-12-394277-7.00001-4
Zhang, J., Guo, X., and Zhao, L. (2019). Tracing external sources of nutrients in the East China Sea and evaluating their contributions to primary production. Progr. Oceanogr. 176:102122. doi: 10.1016/j.pocean.2019.102122
Zhang, Q., Brady, D. C., and Ball, W. P. (2013). Long-term seasonal trends of nitrogen, phosphorus, and suspended sediment load from the non-tidal Susquehanna River Basin to Chesapeake Bay. Sci. Total Environ. 45, 208–221. doi: 10.1016/j.scitotenv.2013.02.012
Zhang, R., Chen, M., Cao, J., Ma, Q., Yang, J., and Qiu, Y. (2012). Nitrogen fixation in the East China Sea and southern Yellow Sea during summer 2006. Mar. Ecol. Prog. Ser. 447, 77–86. doi: 10.3354/meps09509
Zhou, C., Place, A. R., Yan, X., Xu, J., Luo, Q., William, E., et al. (2015). Interactions between Karlodinium veneficum and Prorocentrum donghaiense from the East China Sea. Harmful Algae 49, 50–57. doi: 10.1016/j.hal.2015.08.004
Zhou, M.-J., Shen, Z.-L., and Yu, R.-C. (2008). Responses of a coastal phytoplankton community to increased nutrient input from the Changjiang (Yangtze) River. Continental Shelf Res. 28, 1483–1489. doi: 10.1016/j.csr.2007.02.009
Zhu, Z.-Y., Zhang, J., Wu, Y., Zhang, Y.-Y., Lin, J., and Liu, S.-M. (2011). Hypoxia off the Changjiang (Yangtze River) Estuary: oxygen depletion and organic matter decomposition. Mar. Chem. 125, 108–116. doi: 10.1016/j.marchem.2011.03.005
Zoppini, A., Pettine, M., Totti, C., Puddu, A., Artegiani, A., and Pagnotta, R. (1995). Nutrients, standing crop and primary production in Western coastal waters of the Adriatic Sea. Estuar. Coast. Shelf Sci. 41, 493–513. doi: 10.1016/0272-7714(95)90024-1
Zuo, J. L., Song, J. M., Yuan, H. M., Li, X. G., Li, N., and Duan, L. Q. (2016). Particulate nitrogen and phosphorus in the East China Sea and its adjacent Kuroshio waters and evaluation of budgets for the East China Sea Shelf. Continental Shelf Res. 131, 1–11. doi: 10.1016/j.csr.2016.11.003
Keywords: nutrients, pollution, eutrophication, services, hypoxia, biodiversity, habitats
Citation: Malone TC and Newton A (2020) The Globalization of Cultural Eutrophication in the Coastal Ocean: Causes and Consequences. Front. Mar. Sci. 7:670. doi: 10.3389/fmars.2020.00670
Received: 04 May 2020; Accepted: 22 July 2020;
Published: 17 August 2020.
Edited by:Leonardo Cruz Da Rosa, Federal University of Sergipe, Brazil
Reviewed by:Hans Paerl, University of North Carolina at Chapel Hill, United States
Natalya D. Gallo, University of California, San Diego, United States
Copyright © 2020 Malone and Newton. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Thomas C. Malone, email@example.com