Abstract
We review knowledge on the Magdalena River in Colombia and its fish to identify those drivers that influence the artisanal fisheries production. We identify eight direct drivers (four natural and four anthropogenic) and at least four indirect drivers. Those drivers modify conditions in the fluvial network that promote fish movements, reproduction, and their larvae survivor. Landscape, rains, floods, connectivity of the fluvial net as land cover change, water pollution, hydropower, and alien species are the natural and anthropogenic direct drivers described in this article. The river–lake interaction dynamics in the Magdalena River are determined by two rainy cycles per year. Two seasonal flooding periods induce two cycles in the biological productivity of floodplains because water and sediment inputs. The most visible consequences in these hydrological cycles are the migrations of potamodromous fish and the periodic increase in the artisanal fishery production. Major floodplains are reducing their storage capacity by trapping ∼10%–40% of upstream sediment production. This process induces many research questions about rates of biomass production, carbon fluxes in the basin, impacts of human-induced erosion, and increasing rates of sediment load on floodplain connectivity, but still there is not enough data to answer them. Finally, we make some suggestions toward the sustainability of the Magdalena floodplains. The well-being of the floodplain ecosystems and their connectivity with the main river are the main tools to preserve and manage the ecosystem services of the Magdalena River and its floodplains lakes.
Introduction
Fluvial networks are the hotspots of human activities and one of the most threatened ecosystems in the world (). Thirty one percent of all freshwater fishes and amphibians are included in the Red List of Threatened Species of the International Union for Conservation of Nature (IUCN, 2020). In the last five decades, the understanding of the function, diversity, and complexity of the freshwater ecosystems have demonstrated urgency of action for river conservation and management; the more we know about them, the more we understand what has been changing and the need to promote their protection. identified 12 threats to freshwater diversity: climate change, e-commerce and invasions, light and noise, expanding hydropower, emerging contaminants, microplastic pollution, declining Calcium, freshwater salinization, harmful algal blooms, infectious diseases, engineered nanomaterials, and cumulative stressors. Recently, summarized the main drivers modeling the freshwater ecosystems, after a bibliometric analysis of 10 years of published knowledge about them; they identified that scientific research works have been focused mainly in six drivers: climate change, habitat degradation, expanding hydropower, flow change, water pollution, and species invasions.
A driver is any natural or human-induced factor that directly or indirectly causes a change in an ecosystem; there are direct and indirect drivers (). The direct drivers are natural or anthropogenic factors that strongly influence the functioning of the ecosystems. Some of them are climate variability and climate change, land conversion, nutrient support to soils for agricultural purposes, natural resources use and exploitation, and biological invasions. Indirect drivers influence more diffusely the direct drivers (i.e., human demography, economic and socio-political trends, scientific advances to improve biomass production, and human culture) (). Diversity and dynamics of the river biota strongly responds on the combination of indirect and direct drivers. Changes in the artisanal fisheries production can be used as a response variable that explains natural or induced changes in freshwater ecosystems (). Therefore, freshwater fish can be a good model for describing how these drivers may interact to influence their response in a river in the tropical Andes, exposed to monsoonal climate, high steep relief basins, and high sediment production and because of human-induced activities, posing unprecedented challenges to their natural functioning.
The Magdalena River in Colombia is a unique fluvial system in the tropical region. It is the highest sediment-yielding river (∼710 t km2 y−1) among the rivers that drain South America, transporting a sediment load to the ocean of 184 Mt y−1 (). It has a fantastic geologic history because of the uplift of three Andean mountain ranges and the advance of the sea into continental land because of sea level changes during the Pleistocene (). It is a morphologically and climatologically diverse basin with large floodplains, high mountains, and episodic local climate events because the interaction of the mountain ranges and the seasonal movement of rains coming from the Pacific Ocean, the Amazonas and Orinoco basins, and the intertropical convergence zone (ITCZ) (). It is born and perishes in the same country and since most of the Colombian population inhabits the basin (∼80%) (), their impacts, including deforestation, water pollution, hydropower, poor soil conservation, mining practices, alien fish species, and increasing rates of urbanization, have accounted for the overall increasing trends in the threats for the rivers conservation. Downstream of 300 m elevation, the lowlands of the Magdalena River cover 10% of the catchment area and are the largest alluvial fans in the northern Andes and the least studied fluvial lakes of major South American rivers. Lakes in these floodplains provide refuge to aquatic biota, controlling floods, and supplying water for human consumption and irrigation, and they are nursery areas for fish species used by artisanal fishery (). However, the ongoing human activities along the whole basin have dramatically changed these vital ecosystems and fisheries landings (; ). Because of human activities in the lowlands such as dikes, dams, agriculture, and cattle ranching, more than 30% of the floodplain lakes have lost their natural connections to the main Magdalena River, and many lakes had dried during the last two decades (; ).
Freshwater fish richness of the Magdalena River has 233 species (García-Alzate e t al., 2020). There is an important turnover along the elevation gradient with few fish species up the 1,500 m elevation (; ; ). Fish diversity in the lowlands aquatic systems (main river channel, lakes, creeks, and connecting channels) are composed of 173 species; 45% percent are endemic and 36% occur in the lakes. Eighteen of the endemic freshwater species are potamodromous–White fish (following ) (; ) and the other ones do not migrate (); although more information is needed to be conclusive about movement strategies. Three endemic species Totumito Abramites eques (Steindachner, 1878), Chipe Hoplosternum magdalenae (Eigenmann, 1913), and Cachegua Trachelyopterus insignis (Steindachner, 1878) are exclusive to floodplain lakes. Fish species distributions in the Magdalena River floodplain lakes are highly nested, and fish diversity is positively related to the lake area (). Forty species of these lowland fish are resource for artisanal fisheries, and nineteen of them are White fish; in the last five decades, fisheries landings had reduced (Valderrama et al., 2020). Because fish production in the Magdalena River strongly depends on the interaction between different drivers in the Magdalena lowlands, our aim in this study is to identify and describe those related with fish and environmental dynamics and sustainability. We use available data on the Magdalena River discharge, sediments, floodplain dynamics, the fish life history and dynamics, and the fisheries landings. Finally, we discuss the science required to understand the importance of interconnectivity toward environmental management and artisanal fisheries sustainability.
Data sources and methods
We focus on direct drivers, and when necessary, we include indirect drivers that may influence a direct driver. Natural direct drivers are: 1) riverine landscape, 2) climate, flow, connectivity, and discharge seasonality, 3) fish dynamics, and 4) flooded area. Antropogenic direct drivers are 5) fisheries, 6) land conversion, 7) water pollution, 7) alien species, and 8) hydropower development. We obtain data for driver’s description from different resources. Information on floodplain geomorphology, tectonic-induced subsidence, and rates of sedimentation were obtained from , , , , and . Water level (meters), rains (mm), and Sun bright (hours of light) were obtained from two IDEAM (Instituto de Hidrología, Meteorología y Estudios Ambientales) hydrologic stations in the Puerto Berrio town (Codes 23095010 and 23090110; http://sisaire.ideam.gov.co/ideam-sisaire-web), and total suspended sediments (TSS) (g.ml−1) were measured following the standard operating procedure (gravimetric determination); those data came from the time series between years 2004 and 2005 (; unpublished data).
Water discharge magnitude and variability near major floodplains were derived from satellite-based river discharge images during the 1998–2016 period from the River Watch version 3 system of the Dartmouth Flood Observatory (DFO) at three selected measurement points on the Magdalena and Cauca rivers (; ). Depth of the floodplain lakes are also included (; ; ).
Floodplain areas and major physical attributes, including changes in flooding areas and channel avulsion processes are from . We estimate the total flooded area (km2) of the middle and lower Magdalena basin using Earth observations. The Landsat 5, 7, and 8 satellites when used in combination with one another provide a nominal eight-day interval between observations; though with cloud cover and prioritizations there can be a much longer gap. However, Landsat provides a dataset that can be used to evaluate seasonal and annual fluctuations in open water extent (). We classified every scenario from 1999–2015 into land, water, and bad data (e.g., cloud, shadows, and haze), through the methods described in . We saved the counts of land and water per month and then aggregated these to obtain the area per season that is inundated for at least 50% of the observations (). Because the ENSO cycles are definitive in the water discharge in the riverine systems, we explored the relationship between the flooded area in the Magdalena River and the Southern Oscillation Index (SOI) in order to define their association. SOI data came from https://www.ncdc.noaa.gov/teleconnections/enso/indicators/soi/.
Fish dynamics follow environmental guilds (Black non-migratory and White fish migratory) by and reproductive history traits (following : opportunist, equilibrium, and seasonally, with modifications in Jiménez-Segura et al., 2020). Migratory types (White fish) were based on and . Dynamics of water level came from , and fish life strategies in the floodplain lakes came from . Data about life strategies of potamodromous fish associated with flood pulses was from Jiménez-Segura et al. (2020) and . Fisheries landings data reported between 2000 and 2014 by the Colombian government were obtained from www.sepec.aunap.gov.co; latest consult was from 12 December 2021) We also constructed a linear model Ln (Catch) = 0.8773*Ln (flooding area (year−1)) + 17.568, which was obtained from the relation between the flooding area and landings data reported in to estimate the expected landings in the Magdalena Basin. We explore the relationship between estimated fisheries landings of the Magdalena River of a year x, with some characteristics of the flooded area, one year before that year x. For each year, we calculate the mean value of the flooded area, their coefficient of variation, the amplitude between the minimum and the maximum value of the flooded area, and the number of days with a value of the flooded area over and under than the mean of the year. As White fish spawns in the Magdalena River are strongly influenced by rainy periods (), we also explored the relation between ichtyoplankton densities of potamodromous fish with ENSO cycles, the flooded area, and fisheries landings (expected landings) using time series graphs.
Anthropogenic pressures such as water pollution, fragmentation, habitat loss, alien fish species, and fisheries pressure on floodplains were assessed from Galvis and Mojica (2007), , , , , , Gutiérrez-Moreno and De La Pava (2020), , López-Casas et al. (2020), , and (unpublished data). Hotspots of wetland loss are from and .
Driver 1: The Magdalena river landscape
The Magdalena River drains an area of 257,438 km2 and is the largest river system in Colombia (Figure 1). Magdalena has two main tributaries, the Cauca River, with a drainage basin area of 66,750 km2 (26% of the Magdalena basin) and the San Jorge River, with a particular monomodal hydrologic pattern (Figure 1). Most tributaries have small drainage areas ranging between 22,000 and 6,000 km2, all of them are responsive to both natural and human-induced change (). The geomorphic setting of Magdalena comprises subsiding foreland areas, an anastomosing river pattern (Figure 2), and tributary systems with high vertical aggradation ().
FIGURE 1
FIGURE 2
Along the river basin there is a high diverse mosaic of freshwater ecosystems (
FIGURE 3

(A) Radar image (ALOS-PALSAR) of the lower reaches of the Magdalena River, showing the Momposina depression floodplains and the approximate conveyance sediment loss (images courtesy of The Nature Conservancy, Colombia). (B) Time series of river discharge for the Magdalena River obtained from rating curves using the Water Balance Model (WBM) estimates (green line) and discharge from ground-based gauging stations (black line). We also show ground-based observations of water discharge at each gauging station (red line). The Southern Oscillation Index (SOI) is shown at the bottom (Modified from
The middle and lower reaches of the Magdalena River occupy two different topographic basins because their sediment deposition rate (Figure 3). Upstream from El Banco, the intramontane basin is bordered by the Eastern and Central Cordilleras. Channels and wetlands extend ∼230 km from the south at Barrancabermeja municipality northward to El Banco municipality in a 25 km wide valley floor. In this middle reach section,
Studies on geological evolution of northwestern Colombia indicate that the Magdalena lowlands (Figure 3), the called Momposina depression wetlands, have been moving down or subsiding during the Late Cenozoic. More than 8,000 m of fluvial sediments have accumulated in this sedimentary basin. In addition, during the Andes Cordillera uplift in the Miocene–Paleocene, sedimentary sequences were deposited as a result of tectonism, particularly in the Eastern Cordillera (
Lowland creeks, lakes, and connection channels between lakes and the river channel are the main aquatic systems inside the Magdalena River lowlands. Floodplain lakes are between 900–1,000 m and downstream of 250 m elevation. Floodplain lakes are known locally as ciénagas. They are shallow lakes (Z mean = 2.56 m; C.V. = 30%) formed by water accumulation in land depressions.
Driver 2: Rains, discharge, floods, sediments, and hydrological connectivity
The Magdalena basin is characterized by monsoonal precipitation, with an average rainfall of 2,050 mm y−1. Rainfall regime is bimodal and similar throughout the watershed. There are two wet and two dry seasons; March–May and October–November are high rainfall periods, while December–February and June–September are low rainfall periods. The mean annual water discharge of the Magdalena and Cauca rivers are 7,200 and 2,530 m3 s−1, respectively (
FIGURE 4

Weekly changes in Sun bright, rains, water level, and Total Suspended Solids in the Magdalena River in front of Puerto Berrio city between January 2004 and December 2005. Variables values are movil average for four periods (weeks) and each one was standardized to 0–1 values to let the graphic comparisons. In parenthesis, number of the week in the month.
Drainage basins in the Andes of Colombia (Figure 1) are characterized by high precipitation rates and fast runoff response due to steep slopes (
In terms of the hydrologic connectivity between Magdalena River and its floodplain lakes,
The lower course of the Magdalena–Cauca Rivers has been strongly affected by floods and associated sedimentary fluxes during the last decades due to human induced erosion in the upper basin. Based on satellite-measured data during the 1998–2016 period at the two most downstream hydrological stations, before the confluence with the Momposina floodplain wetlands (Figure 3), discharge variability shows a robust relation with the ENSO cycle (Figure 3C). Peak water discharges were clearly observed during La Niña events in 2007–2009 and 2010–2011. Thus, high discharges are in close agreement with the observed positive values of the Southern Oscillation Index (
It is worth noting that during La Niña event 2007–2009, the Magdalena floodplains exhibited large variability of hydrological connectivity in terms of flooding areas (Figure 3C). According to
Sediment trapping in large river systems is very common. A significant amount of the suspended sediment never reaches the river mouth, as it becomes sequestered in riverbeds, on floodplains, and in reservoirs (
In the Momposina wetlands not all lakes are connected with the main river channel even during peak discharge periods. Depending on location and volume, lakes trap sediment as well. Lakes situated in the lower reach of the main stem of a river or tributary tend to capture more sediment than do lakes situated high in the hinterland. The Momposina floodplain lakes form a flooded area for up to 8–9 months of the year. The water emptying process of these lakes is not simultaneous because they have different degrees of river channel–lake connectivity (e.g., lakes types II and III; Figure 3). True-color MODIS satellite images clearly show the sediment plumes in various lakes close to the Magdalena River as well as to the Cesar and the Cauca tributaries, indicating that suspended sediment spilled into bordering lakes during the La Niña event in September 2008 (Figures 3B–E), where most of it will be deposited (
Sedimentation rates (
The magnitude of yields for the northern and central regions of the Andes, including the Colombian Cordilleras, is equivalent to rivers draining other orogenic belts in Asia, Insular Asia, and New Zealand, and one order of magnitude larger than yields reported for the Alps (
The abovementioned magnitudes of sediment production in the Andes of Colombia and along the main fluvial system, the Magdalena River, highlight the conditions of sediment trapping occurring in the Magdalena floodplains (Figure 3), which together with the hydrologic variability are the main drivers of floodplain connectivity.
Previous findings estimate that the foreland basin-trapping zone of the Momposina depression may store ca. 21 Mt y−1 of suspended sediment (
Natural distribution and deposit of sediment from the highlands to the lowlands have reduced the depth of the main river channel, and this is not a convenient characteristic for the river freight transport because it limits the freighter capacity and size moving along the Magdalena River up from Bocas de Ceniza Port, near Barranquilla city (Caribbean Sea). In different moments in our history, the Colombian government have tried to modify this situation using drags in some sections along the river course, moving from sand from one side to another indefinitely, as a Sisyphus curse. In 2021, the Colombian Congress approved in a first instance a new law (Number 298;
Driver 2: Fish dynamics in the Magdalena River basin
In the Magdalena River, there is a strong turnover in the fish richness elevation gradient (
Flood pulse and fish response in the lakes
Reproduction of fish in the Magdalena River is synchronized with environmental cues. The number of hours of daylight, the flood pulse attributes (magnitude, frequency and duration), and some water characteristics (conductivity and temperature) are cues for activating each reproduction phase of the White fish (
In the low water period, floating macrophytes trapped in the lake begin to decompose, and coupled with wind stress, sediments from the bottom liberate nutrients into the water column for planktonic organisms; a process that increases planktonic densities (
During rising waters, water transparency in the Ayapel Lake is reduced due to sediment input from the river and the decomposition of flooded vegetation. Larvae from Black and White fish find plenty food in the lakes as zooplankton densities (
Fish migration cycle
White fish species in the floodplain lakes migrate among four different aquatic systems twice per year in synchrony with rainy periods: floodplain lakes, connection channels between lakes and the main river channel, and the main river channel and tributaries to the main river channel (Figure 5).
FIGURE 5

Migration cycle of potamodromous fish in the Magdalena River and hydrologic seasonality. Gray bars: Mean of the monthly discharge in the Magdalena River in the period 2003–2014. Adapted from Jiménez-Segura et al. (2020).
As rain diminishes, Sun brightness on the water increases (December), and fish use this as a cue to migrate from lakes to main channels. Upstream migration along the main river (known by the fishers as the subienda migration) is carried out during the first annual low water period (45–60 days, January–February). Migratory fish get into the tributaries and stay there for 30–45 days (
With the incoming rains at the start of the rainy season, the river water level increases (March and April) and potamodromous fish spawn
During the peak floods (May and June), embryos and adults drift downstream from the spawning site (fishers name it as Bajanza migration); embryos are incubated during this drift. Adults come back into the floodplain lakes, and fish larvae are passively dispersed into the lake with the floods (
Driver 4: Flooded area
The flooded area has been associated with biomass production in rivers (
FIGURE 6

Relation between the flooded area and the landings of the freshwater fisheries (estimated empty circle, reported black square).
Our analyses show that the maximum-flooded area and the time of flooding before each yearly fishery period explained 42 and 37% of the fishery landings, respectively; other dispersion variables explain 30% or less (Figure 7). Although these two relations are important, they do not explain more than 50% of the expected landings. To improve the explanation power in the model proposed by
FIGURE 7

Data characteristics of the flooded area and fishery landings (estimated) in the Magdalena River in years 2001–2014.
Water retention for irrigating crops in the lowlands have reduced the discharge of some tributaries (e.g., Cesar River) to the main channel of the Magdalena River and diminishes the flooded area in the lowlands as reservoirs do in those regulated basins with lakes in their lateral plains (
Ichthyoplankton density and expected fishery landings in the Magdalena River were associated to with ENSO cycles and river-flooded area (Figure 8). After peaks in the density of ichthyoplankton and the increase in the flooded area, the landings of the fisher increased two years after. This suggests the high influence of the higher floods on river fisheries productivity. Research on fish larvae in the Parana and Mekong rivers (
FIGURE 8

Relationship between (A) fisheries landings between years 2000 and 2014, (B) SOI values and flooded area (SOI values: monthly-gray pointed line, moving average for five periods- black pointed line; Floodplain area values: monthly-gray line, moving average for five periods-black line), and (C) ichthyoplankton densities (individuals.m-3, black line) and water level of the Magdalena River (pointed line).
Driver 5: Artisanal fisheries
In 2012, ∼30% of Colombia’s population (47 million people) lived in the floodplain regions, 11% lived in poverty, and 0.3% was fishers (
Fisheries of White fish are implemented in aquatic systems where migrating fish stay: in the floodplain lakes during floods, in the connection channels during the ascending or descending hydro-periods, and in the river channel during the low water period (
FIGURE 9

Fisheries landings of the Magdalena River. (A) Yearly report from the river channel and floodplain lakes from 1977 to 1987 years; (B) Monthly proportion in the catches obtained by aquatic systems (river, lake) in the year 1995; dotted line: river discharge trend. Data obtained from
Forty fish species inhabiting lowlands are recruited by artisanal fisheries (1/4 of the total number used in the basin;
FIGURE 10

Percent of each potamodromous fish species to the monthly landings in the Magdalena River basin from 1993 to 1999. Black line: annual average tons. Data obtained from
Floodplain lakes produce ∼50% of the freshwater fishery landings in the Magdalena River. Artisanal fishery landings have been depleted to one tenth in the last four decades due to human-induced floodplain changes and fishery pressure (
Driver 6: Land use conversion
Human-derived factors impacting wetlands in Colombia have been shown by
Driver 7: Water pollution
The Magdalena basin provides 80% of gross domestic product in Colombia (
Driver 8: Alien fish species
Due to the high number of alien species diversity, the Magdalena River can be considered like a Babylonia tower; 43 fish species (e.g., Oreochromis spp., Tilapia nilotica, Trychogaster pectoralis, and Pangasionodon hypophthalmus) have been reported (
Driver 9: Hydropower development
Dams for hydropower in the Magdalena basin since 1987 were built downstream of 600 m elevation (
Recommendations for fish and fisheries conservation in the Magdalena River
If we could recommend what landscape or ecological characteristic must be preserved over all of those we have described in order to preserve fish and artisanal fisheries, certainly we will be in a trouble. In nature, biota has synchronized their dynamics with environmental characteristics and some of them are definitive cues to activate the vital process for reproduction and embryo survival. In the Magdalena River basin, there is a “Chrono-sequence” between changes in the Sun bright, rains, discharge variability, and floods (Figure 4); the order for when they happen are definitive for aquatic biota dynamics (Figure 8) because they are fundamental for maintaining the flooded area and the connection in the fluvial net throughout the dispersion of nutrients and carbon.
Researchers in the fisheries science need to improve their language and increase the ways of sharing the knowledge more than that in scientific article in order to influence common people, stakeholders, and political decisions. Fishery landings can be seen as the peak of an iceberg that emerges over the water line (López-Casas et al., 2020). The height of the peak represents the landings magnitude, and the submerged height of that iceberg, the intensity of the interactions between physical, chemical, biological, and human variables (and factors); changes in that submerged iceberg size will affect the height of the iceberg over the water line. Variables and their interactions in that submersed iceberg are most of the times unknown and it is common that management decisions in fisheries do not include the environmental context that provide that production, and most of the regulations have been focused on the fisher (
Identifying natural drivers for fisheries sustainability are useful to understand how the different compartments in the riverine system interact and let us to take management decisions on the anthropogenic and indirect drivers in order to improve river restoration and conservation. This manuscript constructed a story using knowledge coming from questions made from different Colombian limnologist and fishery ecologist in the last 70 years and new data in the last decade. We focused on explaining how those natural and anthropological drivers influence the fisheries production in the Magdalena River, a tropical Andean river. However, we need to advance looking for answers to many new questions about the functional role of the fish in the aquatic food web, and the connectivity and hydrological functioning of these floodplains (the “submerged iceberg”) in Andean rivers; the more we know, the more we realize we really do not know anything, and it is necessary to continue exploring these particular systems in the world. We must remain working on: 1) how the floodplain morphology changed during the last decades in terms of connectivity with the main river and its flooded areas? 2) What are the hydrological dynamics of floodplains in terms of recharge water level thresholds in a heterogeneous landscape with three Andean Cordilleras and how these dynamics changed over time? 3) What are the spatial and temporal dynamics of suspended sediment concentration and how does this process impact the carbon flux through the food webs in the floodplain lakes? 4) How the hydropower development of the basin changes the river-floodplain connection? 5) Which response variables (physical and/or biological) are important for future monitoring programs? 6) What will be the future of artisanal fishermen, their traditions, and food support under the observed increasing trends of land cover change in the Magdalena floodplains, environmental scientists. Decision makers face new scientific challenges, including: a) obtain the capacity building to monitor and manage floodplain wetlands, b) recognize their ecosystem services and value, and c) establish the scientific needs toward its sustainable hydrologic and biologic functioning. Certainly, the well-being of the floodplain ecosystems, the seasonal flooding and the fluvial network connectivity are the main tools to preserve and manage the ecosystem services of the Magdalena River and its floodplains lakes (
Statements
Author contributions
LJ-S, AH-S, and JR-Á conceptualized and design the manuscript, wrote the draft and revised it for important intellectual content, approved the final version and were in agree for all the aspects mentioned by reviewers in order to improve the accuracy and integrity of manuscript.
Acknowledgments
We are grateful to all our students for their support and to the institutions that have funded scientific research for the knowledge construction we present. Gratitude to the reviewers for suggesting relevant changes; certainly, they improved the quality of this manuscript. Analyses of satellite-derived data of water discharge and floodplain connectivity were carried out with support from the US National Academy of Sciences under the funded PEER project (grant number 70) “Satellite-based estimations of River discharge in the Magdalena River”: Capacity building to mitigate sources of upstream runoff and associated risks of pollution.”
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.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Summary
Keywords
Andean river, Magdalena, connectivity, floodplains, sediment load, potamodromous, artisanal fisheries, habitat loss
Citation
Jiménez-Segura L, Restrepo-Ángel JD and Hernandez-Serna A (2022) Drivers for the artisanal fisheries production in the Magdalena River. Front. Environ. Sci. 10:866575. doi: 10.3389/fenvs.2022.866575
Received
31 January 2022
Accepted
16 August 2022
Published
06 October 2022
Volume
10 - 2022
Edited by
Claudio Baigun, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
Reviewed by
Raphael Ligeiro, Federal University of Pará, Brazil
Jorge Salgado Bonnet, University of Nottingham, United Kingdom
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Copyright
© 2022 Jiménez-Segura, Restrepo-Ángel and Hernandez-Serna.
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: Luz Jiménez-Segura, luz.jimenez@udea.edu.co
This article was submitted to Freshwater Science, a section of the journal Frontiers in Environmental Science
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