A Risk-Based Assessment to Advise the Responsible Consumption of Invertebrates, Elasmobranch, and Fishes of Commercial Interest in Mexico

Introduction

Worldwide, the population depletion of many marine species by overfishing threatens the sources of jobs and food security of many regions where fishing is one of the main economic activities (FAO, 2020). In Mexico, fishing is an important activity that generates direct and indirect jobs and is a source of protein for more than 11 000 coastal communities (SAGARPA, 2017). In 2018, fishing production in Mexico reached 2,159,650 tons and an average national consumption per capita in the last five years of 18.24 kg (SAGARPA, 2020), which places Mexico among the 15 leading fish producers in the world (FAO, 2020). In Mexico, a total of 551 marine invertebrates and fishes are recorded that are relevant for small-scale and industrial fisheries for consumption or ornament purposes (DOF, 2000). The main key species are abalones, clams, squids, octopus, scallops, shrimps, lobsters, conchs, sea urchins, elasmobranchs, small pelagic fishes, coastal and demersal fishes, and tunids (DOF, 2018). The Mexican fishing fleet includes 2,020 larger vessels and 74,286 small (coastal) vessels, and a record of more than 238,000 people in the fishing sector (DOF, 2020). Fishing is carried out with a wide variety of fishing gear, including purse seines, gillnets (bottom and surface set), longlines (bottom and surface set), handlines, trawl lines, pots, traps, diving, and manual gathering (DOF, 2012; DOF, 2018). Invertebrates and fishes are sold fresh, frozen, or live (filleted or whole) or processed (e.g., dried, salt dried, canned, cooked, smoked) (DOF, 2010a; DOF, 2012; SAGARPA, 2021). The fishery products are sold in the domestic markets (with high national consumption) and international markets, with more than 350,000 t exported in 2019, mainly to the United States of America, Hong Kong, Japan, Spain, and China (SAGARPA, 2021).

Fisheries management in Mexico is administered by the General Law of Sustainable Aquaculture and Fisheries (LGPAS, by its Spanish acronym) (DOF, 2007). The LGPAS establishes the national policy for regulating the fisheries via the Official Fisheries Mexican Standards (NOM-PESC), which describe the specific management measures by species or group of species. The National Fisheries Charter (CNP) is another legally binding instrument used in Mexico to manage all the fisheries in Mexico with yearly updates (DOF, 2007). Developed by the National Fisheries and Aquaculture Institute (INAPESCA), the CNP indicates the strategies and actions that must be fulfilled to regulate fishing in Mexico, including information related to the fishing sites and gears, the status of the stocks, and fishing effort (DOF, 2007; DOF, 2018). In addition, researchers from INAPESCA elaborate and update the fisheries management plans (FMP) approved by CONAPESCA. The fisheries management plans include actions aimed at developing the fishing activity sustainable and are based on biological, ecological fishing, environmental, economic, cultural, and social knowledge. Of a total of 36 main fisheries, 27 (75%) of these fisheries are at the level of maximum sustainable yield, seven are in deterioration, two with development potential, and only 13 (36%) have a management plan (DOF, 2018).

Given the growing concern about invertebrate and fish populations’ status and the increased demand for marine products, initiatives have been developed to inform consumers about the production processes (Roheim, 2003; FAO, 2010). The development of environmentally responsible fishing standards has been highlighted through the certification of fisheries and recommendations for the consumption of seafood (Ward and Phillips, 2008; Kirby et al., 2014). These standards have been recognized by the Committee on Trade and Environment of the World Trade Organization as environmental policy instruments (Maneiro Jurjo and Burguillo Cuesta, 2007) and represent a great opportunity and frame of reference towards the development of sustainable fisheries in Mexico. There are different eco-labels or programs based on sustainability schemes, among which some stand out on a global scale for incorporating rigorous aspects of social, political, economic, and ecological issues. The Marine Stewardship Council (MSC), Seafood Watch (SFW), and Fair-Trade USA (FT) are three of the organizations that have boomed in the last decade because they show robust and sustainable principles (CEA, 2020).

However, organizations such as the MSC have recognized that certification procedures and standards are more challenging for fisheries in developing countries, especially small-scale fisheries with poor and limited data. For the above, the MSC developed a methodology to evaluate data-deficient fisheries following the ecological risk assessments framework to generate critical information for fisheries (Ponte, 2012). Ecological risk assessments have been developed in recent years as an alternative to conventional stock assessments, which require a large amount of information (Carruthers et al., 2014). Within the framework of ecological risk assessments, there is the semi-quantitative Productivity and Susceptibility Analysis (PSA), in which the relative vulnerability of a particular stock to fishing is estimated by analyzing the interaction of fishing with the stock (susceptibility) and the capacity of the species to face the impacts of fishing through its biological characteristics (productivity) (Hobday et al., 2011; Cortés et al., 2015).

The National Commission for the Knowledge and Use of Biodiversity (CONABIO) developed the Responsible Seafood Consumption Guide (RSCG) in Mexico. This RSCG includes advice and recommendations for a total of 615 species of fish and invertebrates in a colored guide system (Green = Recommended, Yellow = Not recommended or in moderation, and Red = Avoid) to create awareness of sustainably managed fisheries and encourage the consumers about the sustainable seafood consumption and behavioral changes that could reduce fishing pressure on vulnerable species (Gulbrandsen, 2009; Vázquez-Rowe et al., 2013; Fernández-Rivera Melo et al., 2018). The RSCG considers the following criteria to issue a seafood purchase recommendation: a) fishing origin (e.g., domestic or imported), b) status of the populations based on the official information on current fisheries published in the National fisheries charter ( (DOF, 2010a; DOF, 2012; DOF, 2018), c) species at risk based on the Official Mexican Standards for Species at Risk (NOM-059-SEMARNAT-2010) and the Red List of the International Union for Conservation of Nature (IUCN), d) type of ban available, and e) the catch selectivity. However, there is no information on the population status of many species due to the lack of biological and fishing information necessary to assess the populations using traditional quantitative methods. Hence, the impact of extractive activities on many species is unknown (Arreguín-Sánchez and Arcos-Huitrón, 2011; Saldaña-ruiz et al., 2017), and it is not possible to issue a seafood purchase advice or recommendation. In this study, we estimate the relative vulnerability of invertebrates, elasmobranchs, and bony fish of commercial importance to fishing activities in Mexico, using the MSC’s version of the productivity and susceptibility analysis (MSC, 2014) for data-limited fisheries.

Materials and Methods

Study Area

Mexico is located in an intertropical geographical position and has a large oceanic extension that includes a region in the Pacific Ocean and the Atlantic, with an exclusive economic zone of 2,715,012 km² and a coastline of 11,122 km (Lara-Lara et al., 2008: Figure 1). Mexico has a wide variety of oceanic and coastal ecosystems, home to an enormous marine fauna diversity that supports the country’s fisheries (De la Lanza-Espino, 2004). Marine fishing activities in Mexico are divided into three regions within the Exclusive Economic Zone (EEZ) based on official management and policies: 1) the North Pacific, 2) the South Pacific, and 3) the Gulf of Mexico and the Caribbean Sea (Figure 1). These fishing regions have their own physical and socio-economic characteristics with different levels of fisheries development (DOF, 2020). The North Pacific region has two zones with unique physical characteristics. The west coast of the Baja California peninsula is characterized by a mixture of cold and nutrient-rich waters from the California Current and warm waters from the south (Durazo et al., 2007). Moreover, the Gulf of California, located between the Baja peninsula and the mainland, with variable high sea surface temperatures and high primary productivity during winter and spring (Álvarez-Romero et al., 2013). In the North Pacific region, a wide range of subpolar, cold-temperate waters, and subtropical species are distributed with a high diversity of fishes and invertebrates (Brusca et al., 2005; Lara-Lara et al., 2008). The South Pacific includes a transitional zone of temperatures influenced by the southern end of the California Current, the surface current from the Gulf of California, and the North Equatorial Countercurrent (De la Lanza, 1991; Badan, 1997; Filonov et al., 2000); as well as a tropical zone of high seasonal variability in productivity due to variations in upwelling and nutrient inputs from river outflow in coastal areas (Trasviña et al., 1995; Gallegos-García and Barberán-Falcón, 1998). Species of tropical and subtropical distribution can be found in this region. The Gulf of Mexico and the Caribbean Sea is a semi-enclosed basin located in the Atlantic Ocean connected to the Caribbean Sea through the Yucatan Channel (Candela et al., 2019). This region is characterized by a transition zone between tropical and subtropical climates. Their physical and oceanographic features include the Loop Current, which brings oceanic water into the Gulf, entering through the Yucatan Channel and exiting through the Straits of Florida, continental shelf wind-driven upwellings, and cold fronts known as “nortes” during autumn, winter, and spring (atlas). This region has a great variety of marine ecosystems (e.g., lagoon systems, mangrove forests, seagrass meadows, and coral reefs) and high biodiversity of marine invertebrates and fishes (Felder and Camp, 2009).

FIGURE 1

Figure 1 The main fishing regions in Mexico based on official management and policies (DOF, 2020). In grayscale are the North and South Pacific, the Gulf of Mexico, and the Caribbean Sea regions, and the black outline indicates the Exclusive Economic Zone of Mexico.

Vulnerability Analysis

The relative vulnerability (RV) of invertebrates, elasmobranchs and bony fish species of commercial importance to becoming overfished was evaluated using a PSA version modified by the MSC as part of the requirements for data-poor fisheries certification (Patrick et al., 2010; Hobday et al., 2011; MSC, 2014). The biological productivity was evaluated through a set of attributes related to the life history traits of the evaluated species (Supplementary Table S1) (MSC, 2014). The species life history data were obtained from the scientific and grey literature (thesis and technical reports) and online databases (FishBase, www.fishbase.org; SeaLifeBase, www.sealifebase.org, MolluscaBase, www.molluscabase.org). A total of seven attributes were used to evaluate productivity in bony fishes and elasmobranches (Supplementary Table S1) (MSC, 2014). For invertebrates, a total of six attributes were used, and the attribute “Density-dependence” was used instead of the attributes “Average maximum size” and “Average size at maturity” to consider the depensatory effects on the resilience of marine invertebrates to fishing mortality, as shown in some crabs and lobsters, and often also sedentary bivalves (Supplementary Table S1) (MSC, 2020).

The susceptibility of the species was determined with four attributes related to aspects like area overlap (availability), encounter ability, selectivity, and post-capture mortality of species (See Supplementary Table S2 for a detailed list of the susceptibility attributes; MSC, 2020). The information about the main catch systems used by various fisheries for each of the species was obtained from the scientific literature and Mexican official sources like the National fisheries Charter, which contains data from all the fisheries in Mexico, including the current management tools, actions, and strategies (DOF, 2000; DOF, 2010a; DOF, 2012; DOF, 2018).

Productivity and susceptibility attributes were independently scored on a three-point scale, from high (1) to low (3) productivity and from low (1) to high (3) susceptibility. When information was not available for one species, data from other genera, family, or related species was used or was assigned an intermediate score following the MSC precautionary principle (Hobday et al., 2011; MSC, 2014). The productivity (P) and susceptibility (S) scores were calculated with the average across all scored attributes and displayed on a scatter plot x-y (PSA-Plot). The relative vulnerability (RV) was estimated by calculating the Euclidean distance from the origin (X₀-Y₀) of the PSA-Plot to P and S total scores through the following formula (MSC, 2020):

$$RV=\sqrt{\left[{\left(P-X_0\right)}^2+{\left(S-Y_0\right)}^2\right]}$$

The PSA plot was divided into three equal thirds, representing categories of low (RV <= 2.64), moderate (2.64 < RV < 3.18), and high (RV >= 3.18) relative vulnerability to help with the general interpretation of vulnerability (Hobday et al., 2011; MSC, 2020). The MSC risk-based framework Worksheets templates v2.01 were used (MSC, 2014). The species with the largest RV were the ones with the highest productivity and susceptibility scores (Hobday et al., 2011; MSC, 2020).

Data-Quality Evaluation

The information used to evaluate the productivity and susceptibility attributes was scored based on the data-quality-score and criteria developed by Patrick et al. (2010) to provide details on the uncertainty of the vulnerability results, identify data gaps, and help with the interpretation of the overall vulnerability results (Table 1). The information was scored based on five criteria ranging from best to no data available. Data-quality (DQ) scores were divided into three data-quality categories: poor (>3.5), moderate (2.0-3.5), and good (<2.0) for display purposes.

TABLE 1

Table 1 The overall vulnerability of the 531 evaluated species.

Results

Productivity and Susceptibility Analysis

A total of 531 species of commercial interest in Mexico were evaluated, 98 invertebrates, 66 elasmobranchs, and 367 bony fishes. The highest productivity scores were for invertebrates and bony fish species and the lowest for elasmobranch species. In the invertebrate group, 27 species (28%) had high productivity, including several shrimps, abalone, sea cucumber, clams, mussels, octopus, lobster, and oysters; only one invertebrate resulted with low productivity (P-score of 2.5), the giant horse conch (Triplofusus giganteus). Between bony fishes, the species with the highest biological productivity were the scrawled cowfish (Acanthostracion quadricornis), the Irish pompano (Diapterus auratus), the striped mojarra (Eugerres plumieri), the southern puffer (Sphoeroides nephelus), and the hospe and flathead grey mullets (Mugil cephalus and M. hospes), and only three rockfish species with low productivity (P-score of 2.4), blackgill rockfish (Sebastes melanostomus), the Mexican rockfish (S. macdonaldi), and the cowcod (S. levi). Among the elasmobranch species, the most productive (P-score of 2) were the spotted round ray (Urobatis maculatus) and the haller’s round ray (Urobatis halleri); and the species with the lowest productivity (P-score of 3) were the dusky shark (Carcharhinus obscurus), the bull shark (C. leucas), and the shortfin mako shark (Isurus oxyrinchus), these last three shark species resulted with the lowest biological productivity among all the analyzed species, including invertebrates and bony fishes (see Supplementary Table S3 for detailed scores for all the 531 evaluated species).

The susceptibility among all the evaluated species (531) was high for 47 invertebrates (9%), 37 bony fishes (7%), and seven elasmobranches (1%). The highest susceptibility was for several species of shrimps, abalone, sea cucumbers, clams, mussels, lobsters, oysters, rockfishes, sand flounders, lizardfishes, croakers fishes, scorpionfishes, weakfishes, surgeonfishes, stingrays, butterfly rays, round rays, guitar fishes, and only one shark species, the gray smoothhound (Mustelus californicus). The vulnerability among the 531 evaluated species was high for 115 (22%), moderate for 113 (21%), and low for 303 (57%; Table 2). The species with the highest vulnerability values were the spiny butterfly ray (Gymnura altavela; RV=3.85), the black-and-yellow rockfish (Sebastes chrysomelas; RV=3.68), and the Mexican geoduck and the black sea cucumber (Panopea globosa and Holothuria atra respectively; RV=3.51). Among invertebrates, the vulnerability resulted high for 47 species (48%), moderate for 14 (14%), and low for 36 (37%). For the elasmobranch group, the vulnerability scores were high for 29 species (44%), moderate for 36 (55%), and low for 1 (2%). Finally, among the bony fishes, it was high for 39 species (11%), moderate for 63 (17%), and low for 265 (72%).

TABLE 2

Table 2 Description of scores used in data quality evaluation (Modified from Patrick et al., 2010).

Species of High Commercial Importance

A total of 208 species (75 invertebrates, 38 elasmobranchs, and 95 bony fishes) were identified as species of high commercial importance, based on the information established in the National fisheries charter (DOF, 2018). The vulnerability among these species was high for 57 species (27%), moderate for 68 (33%), and low for 83 (40%). The most vulnerable species are the Mexican geoduck (P. globosa), the black sea cucumber (H. atra), the black-and-yellow rockfish (S. chrysomelas), and the gray smoothhound (M. californicus; Table 3 and Figure 2). A total of 35 (47% among invertebrates) invertebrate species resulted with high vulnerability, including sea cucumbers (1), clams (9), abalones (3), lobsters (7), crabs (1), shrimps (10), mussels (2), oysters (1), and one jellyfish (1; Figure 2). As for the vulnerability among the elasmobranchs, most of the species resulted with moderate (66% among elasmobranchs), 12 species (32%) with high, and only one with low vulnerability. In the bony fish group, more than half of the species (56%) resulted low vulnerable, only 10 (11% among bony fishes) species resulted with high vulnerability, including several scorpionfishes (Sebastes sp.; 5), weakfishes of the Cynoscion genus (2), the gafftopsail catfish (Bagre marinus) the Atlantic thread herrin (Opisthonema oglinum) and the shoal flounder (Syacium gunteri; Figure 2). The most vulnerable elasmobranch species were several requiem sharks of the Carcharhinus genus (3), two angel sharks (Squatina sp.), the gray smoothhound (M. californicus), the tiger shark (Galeocerdo cuvier), the shortfin mako (I. oxyrinchus), the great hammerhead (Sphyrna mokarran), and three rays, the smooth butterfly ray (Gymnura micrura), the brazilian electric ray (Narcine brasiliensis), and the cownose ray (Rhinoptera bonasus;Figure 2). Seventeen species of high commercial importance are fished in the Mexican EEZ exclusive zone in the three regions (the North Pacific, the South Pacific, and the Gulf of Mexico and the Caribbean Sea; Supplementary Figure S4). Among these species, the majority (65%) resulted with high RV. For 56 species being fished in the North Pacific region, 23 species resulted with moderate RV, followed by 17 species with low RV and 16 with high RV (Supplementary Figure S5). In the Mexican Pacific, including both the North and South Pacific, 51 species are fished, of which the RV was low for 19, moderate for 15, and high for 17 (Supplementary Figure S6). Of a total of 84 species fished in the Gulf of Mexico, 43 species (51%) resulted with low RV, 23 (27%) with moderate RV, and 18 (21%) with high RV (Supplementary Figure S7).

TABLE 3

Table 3 Overall scores and results of the productivity and susceptibility analysis (PSA) for species of high commercial importance species only (n = 208).

FIGURE 2

Figure 2 Productivity and Susceptibility Analysis plot for species of high commercial importance in Mexican fisheries. Isopleths delimit areas of equal relative vulnerability, species with the highest vulnerability above the dotted line (V > 3.18), those with medium vulnerability above the solid line (2.64 < V < 3.18), and those with the lowest vulnerability below the solid line. See Table 3 for the point labels to identify the species in the plot.

Data-Quality

The data quality scores ranged from 1 for the Scalloped hammerhead (S. lewini) to 5 for two puffer species, the white-spotted and the guineafow (Arothron hispidus and A. Meleagris; See Supplementary Table S3). Most of the species (471; 89%) had moderate data quality, 47 (9%) had poor data quality, and only 13 (2%) had good data. Within three groups of species analyzed in this study, it was found that the best data available is for species with high commercial or conservation importance, with many research efforts directed towards those species. The data quality was mostly moderate, with a very small proportion of species with good data. The species with good data quality (data quality score < 2.0) were seven elasmobranchs and six bony fishes. The elasmobranchs with the best data are the blacknose shark (Carcharhinus acronotus), the blue shark (Prionace glauca), the shovelnose guitarfish (Pseudobatos productus), pacific sharpnose shark (Rhizoprionodon longurio), the shortfin mako (I. oxyrinchus), and two hammerhead sharks (S. lewini and S. tiburo). The bony fishes with the best information available were the wahoo (Acanthocybium solandri), white weakfish (Atractoscion nobilis), the red grouper (Epinephelus morio), the southern red snapper (Lutjanus peru) and marlin (Makaira nigricans and Kajikia audax). A total of 47 species have poor data quality, of which 38 are invertebrates. Among the 531 evaluated species, the lowest quality of data was for the information used to assess susceptibility attributes ranging from “very limited” to “no data” data category for many species. The best quality of data was for the information used to evaluate the attributes of reproductive strategy and average max size (Supplementary Figure S8). The lowest quality of data was for the information used to assess the attributes of density dependence (only for invertebrates), availability, selectivity, and post-capture mortality (Supplementary Figure S9).The main data gaps identified among the 531 evaluated species were the trophic level, fishing selectivity, and post-catch mortality (Supplementary Figure S8, S9). Information about the overlap of species spatial distribution range with fishery was also scarce for many species, mostly invertebrates and bony fishes. In the invertebrate group, no information was found on the depensatory effects on the resilience of marine invertebrates to fishing mortality. Among the species of high commercial importance (n= 208), the data quality was moderate for 169 species (81%), poor for 28 (13%), and good for 11 (5%). The scalloped hammerhead (S. lewini) is the species with the best data available (DQ= 1), and the shortjaw leatherjacket (Oligoplites refulgens) has the least amount of data available (DQ = 3.82).The quality of the information used to evaluate the susceptibility of the species was low to moderate. The impact and interaction of the fishing gear on many species are unknown, especially for invertebrates and to a lesser extent for bony fish. For the elasmobranch species, the susceptibility data quality was mostly moderate. The quality of the data used to evaluate the productivity was mostly good for elasmobranchs, from good to moderate for bony fish and moderate for invertebrates. The attributes to evaluate productivity with scarcer information were “density dependence” and “trophic level.”

Discussion

In the present study, more invertebrates were highly vulnerable, followed by elasmobranchs and bony fishes. Although in the elasmobranch group, we identified the species with the lowest biological productivity (I. oxyrinchus) among all the evaluated species and the highest proportion of species with high and moderate vulnerability. The high vulnerability of the invertebrates is associated with the life traits of some species such as clams, abalones, and sea cucumbers (e.g., P. generosa, P. globosa, Haliotis corrugata, H. cracherodii, H. sorenseni, and Holothuria casoae) that are relatively long-lived (Andrews et al., 2013; Suárez-Moo et al., 2013). Three of the sea cucumbers species are listed as critically in danger and one species as Data Deficient by the IUCN red list (Samyn, 2013; Peters and Rogers-Bennett, 2021a; Peters and Rogers-Bennett, 2021b; Peters and Rogers-Bennett, 2021c). Furthermore, these and other lobster, clams, and shrimp species (e.g., Panulirus sp., Rangia sp., Rimapenaeus sp., Sicyonia sp., and Penaeus sp.) have a high fisheries susceptibility due to their narrow habitat range, low mobility and high gear selectivity of the fisheries that catch them (Briones Fourzán, 1995; Ramírez-Rodríguez et al., 2000; Wakida-Kusunoki and MacKenzie, 2004; Hendrickx, 2016). Many invertebrate species are manually harvested through diving, resulting in a high selectivity (Melchor-Aragón et al., 2002). Sessile or slow-moving invertebrates have a limited capacity to flee or seek refuge from divers and active fishing gears (Menge and Lubchenco, 1981; Levitan and Genovese, 1989; Hunt et al., 2020); thus, a high proportion of species (82%) caught by dive fisheries resulted with high vulnerability. Furthermore, the tendency of several sessile marine invertebrate species to assemblage (Osman, 2015) increases the possibility of the fishing gear encountering a higher density of organisms. Nevertheless, this grouping feature and the proximity of the invertebrate species with the fishing communities has made possible the establishment of adequate and effective measures for their management through functional management units (e.g., marine protected areas, areas of repopulation, monitoring, and surveillance by fishers), and abundance estimations as a baseline for harvest strategies (Defeo and Castilla, 2005; López-Rocha et al., 2021).

More than half of the evaluated elasmobranch species resulted with moderate vulnerability to fishing activities despite the widely documented low biological productivity for this group (Stevens et al., 2000). The above is because elasmobranch species with low productivity have low susceptibility and, high susceptible species have moderate productivity. In our analysis, we identified elasmobranchs that, unlike invertebrates, have wider geographic distribution, significant mobility through the water column, and are highly migratory species (e.g., Alopias sp., Carcharhinus falciformis, C. longimanus, P. glauca, and Aetobatus narinari), thus, a reduced overlap with fishing activities (Camhi et al., 1998). Furthermore, among the 17 species (including both elasmobranchs and bony fishes) that are fished in all the regions of the Mexican EEZ, only four resulted in high RV to fishing. These are highly migratory pelagic sharks and bony fishes (e.g., Alopias sp., C. falciformis, C. longimanus, C. leucas, Galeocerdo cuvier, I. oxyrinchus, P. glauca, Sphyrna sp., Thunnus albacares, Istiophorus platypterus, and Xiphias gladius). Nevertheless, it is essential to acknowledge that the distribution of these highly migratory pelagic shark and bony fishes (e.g., tunas and billfishes) overlaps with fishing fleets from other countries in both the Pacific and the Atlantic (Calich et al., 2018; White et al., 2019). This study focuses on evaluating the RV only for Mexican fisheries. Thus, for highly migratory species management and conservation measures, besides the negotiations among jurisdictions, should consider a better understanding of their distribution, habitat use over large spatial scales, overlap patterns between species distribution and fishing fleets across borders, and the effect of these fisheries on the species (Pons et al., 2018; White et al., 2019). On the other hand, several elasmobranch species resulted highly susceptible to fishing activities (e.g., Mustelus canis, M. henlei, M. lunulatus, Nasolamia velox, Negaprion brevirostris, Squatina cubensis, S. californica, S. dumeril, Gymnura marmorata, Myliobatis goodei, Pseudobatos productos, and Beringraja inornata); however, their biological productivity is moderate. The bonnethead shark (Sphyrna tiburo) was the only one with low vulnerability among elasmobranchs, mostly due to their high biological productivity (Parsons, 1993; Ebert et al., 2013; Frazier et al., 2014). Other PSA analyses in Mexico reported low vulnerability for the bonnethead shark, however, is classified as Critically Endangered by the IUCN red list (Furlong-Estrada et al., 2014; Pollom et al., 2020). In the Mexican Pacific, this species is reported as possibly extirpated (Pérez-Jiménez, 2014; Saldaña-ruiz et al., 2017). For the above, studies are needed to clarify the population status of the bonnethead shark in the Pacific and identify the cause of its possible absence. Most of the elasmobranchs in this analysis resulted with moderate RV to fishing activities in Mexico. However, future analysis should consider that species may be subject to other sources of pressure (e.g., overlapping with fishing fleets from other countries, oil spills, climate change, and habitat loss) (Calich et al., 2018; Osgood et al., 2021; Yan et al., 2021; Romo-Curiel et al., 2022). Moreover, half of the evaluated elasmobranchs in this study belong to extinction risk categories of the Red List of Threatened Species of the International Union for Conservation of Nature (IUCN) of Critically Endangered, Endangered, and Vulnerable (Supplementary Table S3). For all the above, elasmobranch’s research and management efforts should consider the complexities of the factors influencing their overall vulnerability.

In our study, more than half of the evaluated species (57%) had low vulnerability to fisheries, mostly bony fishes with high biological productivity. Most bony fish are called “r” strategists due to their high biological productivity and large interannual variation in recruitment related to climate-oceanic changes (Musick, 1999; King and McFarlane, 2003). These characteristics allow this group to recover their populations from fishing extraction rapidly; however, it is not an intrinsic characteristic of all bony fish species, and proper management tools are necessary to maintain healthy populations. For example, scorpionfishes of the Sebastes genus resulted with moderate to low productivity due to their reproductive strategy and great longevity (Echeverria, 1987; Reilly et al., 1994; Cailliet et al., 2001; Munk, 2001; Love, 2012; Berkel and Cacan, 2021). Also, we identified several species (e.g., Hypsopsetta guttulata, Kyphosus azureus, Mycteroperca jordani, Sebastes atrovirens, S. chrysomelas, S. miniatus, S. rastrelliger, S. rosenblatti, S. rufus, S. semicinctus, S. serranoides, S. serriceps, S. simulator, S. umbrosus, and Semicossyphus pulcher) with limited geographic distribution, increasing their encounterability with the fishing activities (Eschmeyer et al., 1983; Williams and Ralston, 2002; Fricke et al., 2021). There are endemic invertebrate and fish species in Mexico with significantly restricted distribution to the Northern Gulf of California, like the sandy clamp (Chione cortezi), the gulf croaker (Micropogonias megalops), and the gulf corvina (Cynoscion othonopterus) (Villarreal-Chávez et al., 1999; Garcés-Rodríguez et al., 2018). Another critical issue for these species is the habitat loss due to the disruption of the Colorado River that once flowed into the Northern Gulf of California (Rowell et al., 2005; Rodríguez-Quiroz et al., 2010). In this study, these species resulted with high RV, and the data quality was poor for the sandy clamp and the gulf croaker. For all the above, its prioritization for future evaluations to identify the status of the populations is highlighted.

This vulnerability analysis was specific to a particular fishery and fishing gear type in this study. However, it is important to consider the multi-species and multi-gear character of the fisheries in Mexico (Arce-Acosta et al., 2018). Evaluating the cumulative effects of multiple fisheries affecting one species was beyond our scope. However, further evaluations focused on evaluating the impacts that multiple fisheries may have on individual species should be considered. The most vulnerable species identified in this study could provide the basis for prioritizing future research along these lines. In Mexico, there are 21 fisheries management plans, nine in the Mexican Pacific (Region 1 and 2) and 12 in the Gulf of Mexico and the Caribbean Sea (Region 3) (Peña-Puch et al., 2020). Among the evaluated species in this study, only 33 have a fisheries management plan (e.g., Octopus bimaculatus, O. Maya y O. Vulgaris, O. hubbsorum, Megapitaria squalida, Centropomus viridis, Lutjanus colorado, Thunnus orientalis, T. albacares, Paralabrax nebulife, Dosidicus gigas, Xiphopenaeus kroyeri, Penaeus brasiliensis, P. aztecus, P. setiferus, P. duorarum, Sicyonia brevirostris, Fasciolaria tulipa, Strombus costatus, S. pugilis, Melongena melongena, M. corona, Cynoscion othonopterus, Callinectes spp., Panulirus argus, Mugil cephalus, M. curema, E. morio, Entropomus undecimalis, and several sardines, anchovies, and mackerel species). Despite having management plans, there is no robust assessment of the population status for many of these species. Through this study, future research efforts can be prioritized to evaluate the populations of the species and to review the established management tools. Regarding the main information gaps detected, there are very few studies focused on evaluating selectivity and post-capture mortality, and there are mainly focused on incidentally caught elasmobranch species (Poisson et al., 2014; Hutchinson et al., 2015; Eddy et al., 2016). The complexity of many Mexican fisheries, in which various species are caught using various gear-types, makes it difficult to evaluate the selectivity and post-capture mortality of the species (Castillo-Géniz et al., 1998; Pérez-Jiménez et al., 2005). This study identifies data gaps about the area overlap between the species and the fisheries for many species. Knowing the degree of area overlap of the species distribution with the fishery is essential to determine the species’ susceptibility to the fisheries; a greater overlap indicates highest susceptibility (Patrick et al., 2010; Hobday et al., 2011). Understanding the spatial dimensions of fishing activities in relation to the distribution of the species is critical to improve the management of complex multi-gear and multi-species Mexican fisheries (Salas et al., 2007; Moreno-Báez et al., 2010). For most of the invertebrate species, there is no data about the depensatory effects on the resilience of marine invertebrates to fishing mortality Various studies indicate that abiotic factors mainly influence fluctuations in invertebrate species abundance (e.g., temperature and precipitation); Villalejo-Fuerte et al., 2000; Houlahan et al., 2007; Gonzalez and Loreau, 2009). Trophic ecology studies were also very scarce for many species, especially invertebrates; thus, data on the trophic level were obtained mainly from Fishbase. In Fishbase, the trophic position is calculated with diet and food information based on prey lists or stomach content studies, which gives high uncertainty to the value of trophic level used. In this data-limited context, the PSA in this study is an effective risk-based approach to estimate the potential vulnerability of the species to fishing. Nevertheless, we acknowledge the subjectivity of elements of the PSA analysis (Hordyk and Carruthers, 2018). For example, this analysis calculates the relative vulnerability for each species based on productivity and susceptibility attributes scores (1, 2, or 3) derived from source data that range from highly precise (e.g., age determination study using otoliths) to imprecise data (e.g., adopting age from a species in the same genus or family). However, having the quality scores of the data used for the analysis allows us to identify the reliability of the RV results and help us with the interpretation (Patrick et al., 2009). The PSA also has limitations in assessing a cumulative vulnerability of a species to multiple fisheries (Griffiths et al., 2019), which would be especially useful in the specific case of the multi-species Mexican fisheries. However, the PSA is useful to prioritize species needing research and management attention despite data limitations. Although the PSA does not replace a robust population assessment, is a valuable tool to identify priority species for future research, biological and fishery data gaps, and set the baseline for future research efforts toward the sustainability of fisheries. Implications of the Productivity and Susceptibility Analysis results in the responsible seafood consumption.

Fisheries certification and eco-labeling have been promoted in the past three decades as a useful market-based instrument to encourage sustainable fisheries operations worldwide (Ward and Phillips, 2008). Within fishery certification schemes such as the Marine Stewardship Council, the Seafood Watch, and Fairtrade USA (fisheries), PSA analysis is used in cases where there is no quantitative stock assessment available to determine species vulnerability to fishing pressure (USA, 2017; MSC, 2020; Watch, 2020). The MSC has become the most influential fisheries certification entity globally (Le Manach et al., 2020). Nevertheless, the MSC certification process is not suitable for fisheries in developing countries (Pérez-Ramírez et al., 2016), including those located in Latin America and the Caribbean like Argentina (Pérez-Ramírez et al., 2012a), Chile (MSC, 2019), and several fisheries in Mexico (Pérez-Ramírez et al., 2012b). This high underrepresentation of the MSC in developing countries is due to the lack of reliable scientific data to address the state of their fisheries and species populations, necessary for the certification process (Gulbrandsen, 2009). Due to the above, the MSC developed a risk-based framework (RBF), the PSA, to assess the vulnerability of species impacted by fishing activities in small-scale and data-deficient fisheries to inform the certification process (Howes, 2008; Ponte, 2012). This RBF is used to address deficiencies in the ecological principles for sustainable fisheries (i.e., Principle 1: stock status and Principle 2: minimizing environmental impacts) in the preliminary review of the MSC to identify if the fishery is ready to enter full assessment (Mohamed et al., 2018; MSC, 2020). However, the effectiveness of the MSC’s risk-based framework to increase the number of certified fisheries in developing countries will need to be evaluated, and actions are still needed to improve the capacity to initiate, develop and sustain the certification processes (Ponte, 2012; Stratoudakis et al., 2016). Furthermore, the limitations and uncertainty associated with the PSA should be further explored and evaluated to improve the analysis (McCully Phillips et al., 2015). Like other risk-based approaches, this analysis does not replace standard stock assessments but rather evaluates the relative vulnerability to becoming overfished (Patrick et al., 2010; Hobday et al., 2011). Moreover, these vulnerability results do not indicate levels of sustainability since this analysis does not consider inputs from the management and socio-economic aspects of the analyzed fisheries (Hilborn et al., 2015; Astles and Cormier, 2018). It is important to consider that the results of this analysis cannot be used directly in future pre-assessments of the MSC since specific characteristics of the fishery to be evaluated must be looked upon (e.g., evaluation of susceptibility to different fishing gear types to those evaluated in this study). However, this is a straightforward approach that can be used in a data-poor environment that provides a preliminary screening of the many species of commercial importance potentially affected by fisheries. As a result, it represents a potential means to advance progress towards reducing some barriers to certification of fisheries in developing countries. The market-based approaches within the eco-labeling initiatives, like the RSCG, use a seafood-ranking guides system to inform consumers on the purchasing choices providing information about the origin and sustainability of fishery products (Kaiser and Edwards-Jones, 2006; Gulbrandsen, 2009). The RSCG include information about certified fisheries (e.g., the MSC and FT), fisheries that follow responsible fishing practices (e.g., Seafood Watch and the Fishery Improvement Project), the status of the species populations, according to Mexican regulations (e.g., the National fishery charter and the normative instrument that defines the risk categories for the Mexico flora and fauna species; DOF, 2010b; DOF, 2018), and the global conservation status of species of the Red List of Threatened Species by the International Union for Conservation of Nature. The eco-labeling implementation and success of approaches like the RSCG to promote sustainable fisheries will depend on many factors, including the level of concern for sustainable fisheries by the consumers, the evaluation of the economic benefits for the fishers, and the effective monitoring of the certified fisheries (Kaiser and Edwards-Jones, 2006). However, these results set the baseline for future research efforts to improve the biology data and the interaction of the species with the fisheries. Also, the vulnerability results can be incorporated in the RSCG to improve the guidance and recommendations to help consumers choose seafood from sustainably Mexican fisheries, which is critical in a country where fisheries play a key role in livelihoods and food security and well-being of many coastal communities.

Conclusions

The relative vulnerability results prioritize invertebrate, elasmobranch, and bony fish species of commercial interest for either research efforts or management attention. Furthermore, the vulnerability results could be incorporated in market-based approaches within the eco-labeling initiatives, like the RSCG, to strengthen the criteria to issue recommendations to consumers while formal evaluations of the species populations are in progress. In this study, biological and fishery data gaps by species can be rapidly identified, which could guide data collection and monitoring efforts. Like other risk-based approaches, this analysis can only assess the relative vulnerability. Nevertheless, this is an accessible approach for data-deficient fisheries that provides a first screening of the many species potentially affected by fisheries. This work may provide a reference for the more than 400 species in Mexico that do not have a population evaluation, or their status is unknown. Moreover, this study can serve as the foundation for future research efforts to evaluate the species in data-limited settings and facilitate certification processes involving these species.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author Contributions

LE-SR, A-FG, GA-CG, and FJ-FRM conceived and designed the study. LE-SR, A-FG, and JF-C created databases, wrote the original draft, and prepared figures. All authors contributed equally to data collection, manuscript revisions, and approved the final draft.

Funding

This study was funded by the David and Lucile Packard Foundation, Fondo Mexicano para la Conservación de la Naturaleza, Marisla Foundation, OAK Foundation, Resources Legacy Fund, Summit Foundation, Walton Family Foundation, and Waterloo Foundation. The funders were not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.

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.

Acknowledgments

We thank M.C. Carmen Rodriguez Medrano from the Fisheries Ecology Laboratory from CICESE for the valuable data provided for the analysis. We also thank the insightful comments offered by the anonymous peer reviewers for their helpful comments that significantly improved this manuscript.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmars.2022.866135/full#supplementary-material

References

Álvarez-Romero J. G., Pressey R. L., Ban N. C., Torre-Cosío J., Aburto-Oropeza O. (2013). Marine Conservation Planning in Practice: Lessons Learned From the Gulf of California. Aquat. Conserv. Mar. Freshw. Ecosyst. 23, 483–505. doi: 10.1002/aqc.2334

CrossRef Full Text | Google Scholar

Andrews A. H., Leaf R. T., Rogers-Bennett L., Neuman M., Hawk H., Cailliet G. M. (2013). Bomb Radiocarbon Dating of the Endangered White Abalone (Haliotis Sorenseni): Investigations of Age, Growth and Lifespan. Mar. Freshw. Res. 64, 1029–1039. doi: 10.1071/MF13007

CrossRef Full Text | Google Scholar

Arce-Acosta M., Ramírez-Rodríguez M., De-la-Cruz-Agüero G. (2018). Small Scale Fisheries Operative Units in the West Central Region of the Gulf of California, Mexico. Ocean Coast. Manage. 160, 58–63. doi: 10.1016/j.ocecoaman.2018.03.040

CrossRef Full Text | Google Scholar

Arreguín-Sánchez F., Arcos-Huitrón E. (2011). La Pesca En México : Estado De La Explotación Y Uso De Los Ecosistemas. Hidrobiológica 21, 431–462.

Google Scholar

Astles K. L., Cormier R. (2018). Implementing Sustainably Managed Fisheries Using Ecological Risk Assessment and Bowtie Analysis. Sustain. 10, 1–33. doi: 10.3390/su10103659

CrossRef Full Text | Google Scholar

Badan A. (1997). La Corriente Costera De Costa Rica En El Pacífico Mexicano. Monogr. 1, 99–112. No. 3. Unión Geofísica Mexicana.

Google Scholar

Berkel C., Cacan E. (2021). Analysis of Longevity in Chordata Identifies Species With Exceptional Longevity Among Taxa and Points to the Evolution of Longer Lifespans. Biogerontology 22, 329–343. doi: 10.1007/s10522-021-09919-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Briones Fourzán P. (1995). “Biología Y Pesca De Las Langostas De México,” in Temas De Oceanografía Biológica En México Ii, vol. 207 . Eds. González Farías F., de la Rosa Vélez J. (Baja California: Universidad Autónoma de Baja California).

Google Scholar

Brusca R. C., Findley L. T., Hastings P. A., Hendrickx M. E., Cosio J. T., van der Heiden A. M. (2005). “Macrofaunal Diversity in the Gulf of California,” in Biodiversity, Ecosystems, and Conservation in Northern Mexico. Eds. Cartron J. L. E., Ceballos G., Felger R. S. (New York: Oxford University Press), 179–203.

Google Scholar

Cailliet G. M., Andrews A. H., Burton E. J., Watters D. L., Kline D. E., Ferry-Graham L. A. (2001). Age Determination and Validation Studies of Marine Fishes: Do Deep-Dwellers Live Longer? Exp. Gerontol. 36, 739–764. doi: 10.1016/S0531-5565(00)00239-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Calich H., Estevanez M., Hammerschlag N. (2018). Overlap Between Highly Suitable Habitats and Longline Gear Management Areas Reveals Vulnerable and Protected Regions for Highly Migratory Sharks. Mar. Ecol. Prog. Ser. 602, 183–195. doi: 10.3354/meps12671

CrossRef Full Text | Google Scholar

Camhi M., Fowler S., Musick J., Bräutigam A., Fordham S. (1998). Sharks and Their Relatives – Ecology and Conservation (IUCN, Gland, Switzerland and Cambridge, UK: IUCN/SSC Shark Specialist Group).

Google Scholar

Candela J., Ochoa J., Sheinbaum J., López M., Pérez-Brunius P., Tenreiro M., et al. (2019). The Flow Through the Gulf of Mexico. J. Phys. Oceanogr. 49, 1381–1401. doi: 10.1175/JPO-D-18-0189.1

CrossRef Full Text | Google Scholar

Carruthers T. R., Punt A. E., Walters C. J., MacCall A., McAllister M. K., Dick E. J., et al. (2014). Evaluating Methods for Setting Catch Limits in Data-Limited Fisheries. Fish. Res. 153, 48–68. doi: 10.1016/j.fishres.2013.12.014

CrossRef Full Text | Google Scholar

Castillo-Géniz J. L., Márquez-Farias J. F., Rodriguez de la Cruz M. C., Cortés E., Cid del Prado A. (1998). The Mexican Artisanal Shark Fishery in the Gulf of Mexico: Towards a Regulated Fishery. Mar. Freshw. Resour. 48, 611–620. doi: 10.1071/MF97120

CrossRef Full Text | Google Scholar

CEA (2020)Global Landscape Review of Fishery Improvement Projects. Available at: https://oursharedseas.com/FIPReview-2015.

Google Scholar

Cortés E., Brooks E. N., Shertzer K. W. (2015). Risk Assessment of Cartilaginous Fish Populations. ICES J. Mar. Sci. 72, 1057–1068. doi: 10.1093/icesjms/fsu157

CrossRef Full Text | Google Scholar

Defeo O., Castilla J. C. (2005). More Than One Bag for the World Fishery Crisis and Keys for Co-Management Successes in Selected Artisanal Latin American Shellfisheries. Rev. Fish Biol. Fish. 15, 265–283. doi: 10.1007/s11160-005-4865-0

CrossRef Full Text | Google Scholar

De la Lanza G. E. (1991). Oceanografía De Mares Mexicanos (México: AGT Editor).

Google Scholar

De la Lanza-Espino G. (2004). Gran Escenario De La Zona Costera Y Oceánica De México. Rev. Cienc. 76, 4–13.

Google Scholar

DOF (2000). Acuerdo Por El Que Se Aprueba La Carta Nacional Pesquera (México: Secretaría de Medio Ambiente, Recursos Naturales y Pesca).

Google Scholar

DOF (2007). Ley General De Pesca Y Acuicultura (México: Secretaría de Medio Ambiente y Recursos Naturales y Pesca).

Google Scholar

DOF (2010a). Acuerdo Por El Que Se Da a Conocer La Actualización De La Carta Nacional Pesquera (Ciudad de México: Secretaría de Medio Ambiente, Recursos Naturales y Pesca).

Google Scholar

DOF (2010b). NORMA Oficial Mexicana NOM-059-SEMARNAT-2010, Protección Ambiental-Especies Nativas De México De Flora Y Fauna Silvestres-Categorías De Riesgo Y Especificaciones Para Su Inclusión, Exclusión O Cambio-Lista De Especies En Riesgo (México: Secretaría de Medio Ambiente, Recursos Naturales y Pesca). Available at: https://repositorio.flacsoandes.edu.ec/bitstream/10469/2461/4/TFLACSO-2010ZVNBA.pdf.

Google Scholar

DOF (2012). Acuerdo Por El Que Se Da a Conocer La Actualización De La Carta Nacional Pesquera (Ciudad de México: Secretaría de Medio Ambiente, Recursos Naturales y Pesca).

Google Scholar

DOF (2018). Acuerdo Por El Que Se Da a Conocer La Actualización De La Carta Nacional Pesquera (México: Secretaría de Medio Ambiente, Recursos Naturales y Pesca).

Google Scholar

DOF (2020). PROGRAMA Nacional De Pesca Y Acuacultura 2020-2024 (México: Secretaría de Medio Ambiente, Recursos Naturales y Pesca).

Google Scholar

Durazo R., Ramírez-Manguilar A. M., Miranda L. E., Soto-Mardones L. A. (2007). “Climatología De Variables Hidrográficas,” in Dinámica Del Ecosistema Pelágico Frente a Baja California 1997–2007: Diez Años De Investigaciones Mexicanas De La Corriente De California. Eds. Gaxiola-Castro G., Durazo G. (México: Instituto Nacional de Ecología), 25–57.

Google Scholar

Ebert D. A., Flower S., Compagno L. (2013). Sharks of the World: A Fully Illustrated Guide to the Sharks of the World (Plymouth, UK: Wild Nature Press).

Google Scholar

Echeverria T. W. (1987). Thirty-Four Species of California Rockfishes: Maturity and Seasonality of Reproduction. Fish. Bull. 85, 229–250.

Google Scholar

Eddy C., Brill R., Bernal D. (2016). Rates of at-Vessel Mortality and Post-Release Survival of Pelagic Sharks Captured With Tuna Purse Seines Around Drifting Fish Aggregating Devices (FADs) in the Equatorial Eastern Pacific Ocean. Fish. Res. 174, 109–117. doi: 10.1016/j.fishres.2015.09.008

CrossRef Full Text | Google Scholar

Eschmeyer W. N., Hearld E. S., Hammann H. (1983). A Field Guide to Pacific Coast Fishes of North America (Boston, USA: Houghton Mifflin Company). Available at: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Pacific+Coast+Fishes#2.

Google Scholar

Fair Trade USA (2017). Fair Trade USA Capture Fisheries Standard. Version 1.1.0. California, USA.

Google Scholar

FAO (2010). The State of World Fisheries and Aquaculture 2010 (Rome: FAO).

Google Scholar

FAO (2020). El Estado Mundial De La Pesca Y La Acuicultura 2020. La Sostenibilidad En Acción (Roma: FAO). doi: 10.4060/ca9229es

CrossRef Full Text | Google Scholar

Felder D. L., Camp D. K. (2009). Gulf of Mexico Origin, Waters, and Biota: Biodiversity (Texas: Texas A&M University Press).

Google Scholar

Fernández-Rivera Melo F., Rocha-Tejeda L., Cuevas-Gómez G. A., Gastélum-Nava E., Sánchez-Cota J. B., Goldman N., et al. (2018). Criterios Internacionales De Sustentabilidad Pesquera : ¿ Dónde Estamos Y Qué Necesitamos Para Mejorar? Cienc. Pesq. 26, 65–88.

Google Scholar

Filonov A. E., Tereshchenko I. E., Monzón C. O., González Ruelas M. E., Godínez Domínguez E. (2000). Variabilidad Estacional De Los Campos De Temperatura Y Salinidad En La Zona Costera De Los Estados De Jalisco Y Colima, México. Cienc. Mar. 26, 255–272. doi: 10.7773/cm.v26i2.577

CrossRef Full Text | Google Scholar

Frazier B. S., Driggers W. B., Adams D. H., Jones C. M., Loefer J. K. (2014). Validated Age, Growth and Maturity of the Bonnethead Sphyrna Tiburo in the Western North Atlantic Ocean. J. Fish Biol. 85, 688–712. doi: 10.1111/jfb.12450

PubMed Abstract | CrossRef Full Text | Google Scholar

Fricke R., Eschmeyer W. N., van der Laan R. (2021) Eschmeyer’s Catalog of Fishes: Genera, Species, References. Available at: https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp (Accessed September 7, 2021).

Google Scholar

Furlong-Estrada E., Javier T.-Á., Ríos-Jara E. (2014). Ecological Risk Assessment of Artisanal Capture Methods on Sharks Fished at the Entrance of the Gulf of California. Hidrobiológica 24, 83–97.

Google Scholar

Gallegos-García A., Barberán-Falcón J. (1998). “Surgencia Eólica,” in El Golfo De Tehuantepec: El Ecosistema Y Sus Recursos. Ed. Tapia-García M. (México: Universidad Autónoma Metropolitana-Iztapalapa), 27–34.

Google Scholar

Garcés-Rodríguez Y., Sánchez-Velasco L., Díaz-Viloria N., Jiménez-Rosenberg S. P. A., Godínez V., Montes-Arechiga J., et al. (2018). Larval Distribution and Connectivity of the Endemic Sciaenidae Species in the Upper Gulf of California. J. Plankton Res. 40, 606–618. doi: 10.1093/plankt/fby033

CrossRef Full Text | Google Scholar

Gonzalez A., Loreau M. (2009). The Causes and Consequences of Compensatory Dynamics in Ecological Communities. Annu. Rev. Ecol. Evol. Syst. 40, 393–414. doi: 10.1146/annurev.ecolsys.39.110707.173349

CrossRef Full Text | Google Scholar

Griffiths S. P., Kesner-reyes K., Garilao C., Duffy L. M. (2019). Ecological Assessment of the Sustainable Impacts of Fisheries ( EASI-Fish ): A Flexible Vulnerability Assessment Approach to Quantify the Cumulative Impacts of Fishing in Data-Limited Settings. Marine Ecology Progress Series, 625, 89−113 doi: 10.3354/meps13032

CrossRef Full Text | Google Scholar

Gulbrandsen L. H. (2009). The Emergence and Effectiveness of the Marine Stewardship Council. Mar. Policy 33, 654–660. doi: 10.1016/j.marpol.2009.01.002

CrossRef Full Text | Google Scholar

Hendrickx M. E. (2016). The Species of Sicyonia H. Milne Edwards (Crustacea: Penaeoidea) of the Gulf of California, Mexico, With a Key for Their Identification and a Note on Their Zoogeography. Rev. Biol. Trop. 32, 279–297. doi: 10.15517/rbt.v32i2.24631

CrossRef Full Text | Google Scholar

Hilborn R., Fulton E. A., Green B. S., Hartmann K., Tracey S. R., Watson R. A. (2015). When is a Fishery Sustainable? Can. J. Fish. Aquat. Sci. 72, 1433–1441. doi: 10.1139/cjfas-2015-0062

CrossRef Full Text | Google Scholar

Hobday A. J., Smith A. D. M., Stobutzki I. C., Bulman C., Daley R., Dambacher J. M., et al. (2011). Ecological Risk Assessment for the Effects of Fishing. Fish. Res. 108, 372–384. doi: 10.1016/j.fishres.2011.01.013

CrossRef Full Text | Google Scholar

Hordyk A. R., Carruthers T. R. (2018). A Quantitative Evaluation of a Qualitative Risk Assessment Framework: Examining the Assumptions and Predictions of the Productivity Susceptibility Analysis (PSA). PLos One 13, 1–32. doi: 10.1371/journal.pone.0198298

CrossRef Full Text | Google Scholar

Houlahan J. E., Currie D. J., Cottenie K., Cumming G. S., Ernest S. K. M., Findlay C. S., et al. (2007). Compensatory Dynamics are Rare in Natural Ecological Communities. Proc. Natl. Acad. Sci. U. S. A. 104, 3273–3277. doi: 10.1073/pnas.0603798104

PubMed Abstract | CrossRef Full Text | Google Scholar

Howes R. (2008). The Marine Stewardship Council programme, in Seafood labelling: principles and practice, eds. Ward T., Philips B. (Oxford, UK: WileyBlackwell), 81–105.

Google Scholar

Hunt C. L., Andradi-Brown D. A., Hudson C. J., Bennett-Williams J., Noades F., Curtis-Quick J., et al. (2020). Shelter Use Interactions of Invasive Lionfish With Commercially and Ecologically Important Native Invertebrates on Caribbean Coral Reefs. PLos One 15, e0236200. doi: 10.1371/journal.pone.0236200

PubMed Abstract | CrossRef Full Text | Google Scholar

Hutchinson M. R., Itano D. G., Muir J. A., Holland K. N. (2015). Post-Release Survival of Juvenile Silky Sharks Captured in a Tropical Tuna Purse Seine Fishery. Mar. Ecol. Prog. Ser. 521, 143–154. doi: 10.3354/meps11073

CrossRef Full Text | Google Scholar

Kaiser M. J., Edwards-Jones G. (2006). The Role of Ecolabeling in Fisheries Management and Conservation. Conserv. Biol. 20, 392–398. doi: 10.1111/j.1523-1739.2006.00319.x

PubMed Abstract | CrossRef Full Text | Google Scholar

King J. R., McFarlane G. A. (2003). Marine Fish Life History Strategies: Applications to Fishery Management. Fish. Manage. Ecol. 10, 249–264. doi: 10.1046/j.1365-2400.2003.00359.x

CrossRef Full Text | Google Scholar

Kirby D. S., Visser C., Hanich Q. (2014). Assessment of Eco-Labelling Schemes for Pacific Tuna Fisheries. Mar. Policy 43, 132–142. doi: 10.1016/j.marpol.2013.05.004

CrossRef Full Text | Google Scholar

Lara-Lara J. R., Arenas Fuentes V., Bazán Guzmán C., Díaz Castañeda V., Escobar Briones E., García Abad M., et al. (2008). “Los Ecosistemas Marinos,” in Capital Natural De México. Eds. Soberón J., Halffter G., Llorente-Bousquets J. (México: Comisión Nacional para el Conocimiento y Uso de la Biodiversidad), 135–159.

Google Scholar

Le Manach F., Jacquet J. L., Bailey M., Jouanneau C., Nouvian C. (2020). Small is Beautiful, But Large is Certified: A Comparison Between Fisheries the Marine Stewardship Council (MSC) Features in its Promotional Materials and MSC-Certified Fisheries. PLos One 15, 1–12. doi: 10.1371/journal.pone.0231073

CrossRef Full Text | Google Scholar

Levitan D. R., Genovese S. J. (1989). Substratum-Dependent Predator-Prey Dynamics: Patch Reefs as Refuges From Gastropod Predation. J. Exp. Mar. Bio. Ecol. 130, 111–118. doi: 10.1016/0022-0981(89)90198-6

CrossRef Full Text | Google Scholar

López-Rocha J. A., Melo F. J. F. R., Gastélum-Nava E., Larios-Castro E. (2021). Abundance and Harvest Strategy of Three Species of Clam (Bivalvia: Veneridae) Located in New Fishing Banks in the Gulf of California. Aquac. Fish. 6, 506–512. doi: 10.1016/j.aaf.2020.07.015

CrossRef Full Text | Google Scholar

Love M. S. (2012). Certainly More Than You Want to Know About The Fishes of The Pacific Coast—A Postmodern Experience. Copeia 2012, 360–361. doi: 10.1643/OT-12-002.1

CrossRef Full Text | Google Scholar

Maneiro Jurjo J. M., Burguillo Cuesta M. (2007). El Ecoetiquetado ¿Un Instrumento Eficiente De Política Ambiental? Boletín económico ICE Inf. Comer. Española 2915, 39–50.

Google Scholar

McCully Phillips S. R., Scott F., Ellis J. R. (2015). Having Confidence in Productivity Susceptibility Analyses: A Method for Underpinning Scientific Advice on Skate Stocks? Fish. Res. 171, 87–100. doi: 10.1016/j.fishres.2015.01.005

CrossRef Full Text | Google Scholar

Melchor-Aragón J. M., Ruiz-Luna A., Terrazas-Gaxiola R., Acosta-Castañeda C. (2002). Mortalidad Y Crecimiento Del Ostión De Roca, Crassostrea Iridescens (Hanle), En San Ignacio, Sinaloa, México. Cienc. Mar. 28, 125–132. doi: 10.7773/cm.v28i2.220

CrossRef Full Text | Google Scholar

Menge B. A., Lubchenco J. (1981). Community Organization in Temperate and Tropical Rocky Intertidal Habitats : Prey Refuges in Relation to Consumer Pressure Gradients. Ecol. Monogr. 51, 429–450. doi: 10.2307/2937323

CrossRef Full Text | Google Scholar

Mohamed K. S., Malayilethu V., Suseelan R. (2018). Developments in Progressing India ‘ s Marine Fisheries Towards Marine Stewardship Council ( MSC ) Certification. Mar. Fish. Infor. Serv., T & E Ser, 1,3–12.

Google Scholar

Moreno-Báez M., Orr B. J., Cudney-Bueno R., Shaw W. W. (2010). Using Fishers’ Local Knowledge to Aid Management at Regional Scales: Spatial Distribution of Small-Scale Fisheries in the Northern Gulf of California, Mexico. Bull. Mar. Sci. 86, 339–353.

Google Scholar

MSC (2014). MSC Fisheries Certification Requirements and Guidance (London: Marine Stewardship Council). Version 2.0.

Google Scholar

MSC (2019). Marine Stewardship Council: Global Impacts Report 2019 (London: Marine Stewardship Council).

Google Scholar

MSC (2020). MSC Fisheries Certification Process (London: Marine Stewardship Council). Available at: https://www.msc.org/docs/default-source/default-document-library/for-business/program-documents/fisheries-program-documents/msc-fisheries-certification-process-v2.1.pdf?sfvrsn=5c8c80bc_24. V2.2.

Google Scholar

Munk K. M. (2001). Maximum Ages of Groundfishes in Waters Off Alaska and British Columbia and Consideration of Age Determination. Alaska Fish. Res. Bull. 8, 12−21.

Google Scholar

Musick J. A. (1999). Criteria to Define Extinction Risk in Marine Fishes. Fisheries 24, 6–14. doi: 10.1577/1548-8446(1999)024<0006:CTDERI>2.0.CO;2

CrossRef Full Text | Google Scholar

Osgood G. J., White E. R., Baum J. K. (2021). Effects of Climate-Change-Driven Gradual and Acute Temperature Changes on Shark and Ray Species. J. Anim. Ecol. 90, 2547–2559. doi: 10.1111/1365-2656.13560

PubMed Abstract | CrossRef Full Text | Google Scholar

Osman R. W. (2015). Regional Variation in the Colonization of Experimental Substrates by Sessile Marine Invertebrates: Local vs. Regional Control of Diversity. J. Exp. Mar. Bio. Ecol. 473, 227–286. doi: 10.1016/j.jembe.2015.08.004

CrossRef Full Text | Google Scholar

Parsons G. R. (1993). Age Determination and Growth of the Bonnethead Shark Sphyrna Tiburo: A Comparison of Two Populations. Mar. Biol. 117, 23–31. doi: 10.1007/BF00346422

CrossRef Full Text | Google Scholar

Patrick W. S., Spencer P., Link J., Cope J., Field J., Kobayashi D., et al. (2010). Using Productivity and Susceptibility Indices to Assess the Vulnerability of United States Fish Stocks to Overfishing. Fish. Bull. 108, 305–322.

Google Scholar

Patrick W. S., Spencer P., Ormseth O., Cope J., Field J., Kobayashi D. (2009). Use of Productivity and Susceptibility Indices to Determine Stock Vulnerability, With Example Applications to Six U.S . Fisheries. NOAA Tech. Memo., 1, 1−90.

Google Scholar

Peña-Puch A., del C., Pérez-Jiménez J. C., Espinoza-Tenorio A. (2020). Advances in the Study of Mexican Fisheries With the Social-Ecological System (SES) Perspective and its Inclusion in Fishery Management Policy. Ocean Coast. Manage. 185, 105065. doi: 10.1016/j.ocecoaman.2019.105065

CrossRef Full Text | Google Scholar

Pérez-Jiménez J. C. (2014). Historical Records Reveal Potential Extirpation of Four Hammerhead Sharks (Sphyrna Spp.) in Mexican Pacific Waters. Rev. Fish Biol. Fish. 24, 671–683. doi: 10.1007/s11160-014-9353-y

CrossRef Full Text | Google Scholar

Pérez-Jiménez J. C., Sosa-Nishizaki O., Furlong-Estrada E., Corro-Espinosa D., Venegas-Herrera A., Barragán-Cuencas O. V. (2005). Artisanal Shark Fishery at “Tres Marias” Islands and Isabel Island in the Central Mexican Pacific. J. Northwest Atl. Fish. Sci. 35, 333–343. doi: 10.2960/J.v35.m489

CrossRef Full Text | Google Scholar

Pérez-Ramírez M., Castrejón M., Gutiérrez N. L., Defeo O. (2016). The Marine Stewardship Council Certification in Latin America and the Caribbean: A Review of Experiences, Potentials and Pitfalls. Fish. Res. 182, 50–58. doi: 10.1016/j.fishres.2015.11.007

CrossRef Full Text | Google Scholar

Pérez-Ramírez M., Lluch-Cota S., Lasta M. (2012a). MSC Certification in Argentina: Stakeholders’ Perceptions and Lessons Learned. Mar. Policy 36, 1182–1187. doi: 10.1016/j.marpol.2012.03.011

CrossRef Full Text | Google Scholar

Pérez-Ramírez M., Ponce-Díaz G., Lluch-Cota S. (2012b). The Role of MSC Certification in the Empowerment of Fishing Cooperatives in Mexico: The Case of Red Rock Lobster Co-Managed Fishery. Ocean Coast. Manage. 63, 24–29. doi: 10.1016/j.ocecoaman.2012.03.009

CrossRef Full Text | Google Scholar

Peters H., Rogers-Bennett L. (2021a). doi: 10.2305/IUCN.UK.2021-3.RLTS.T78763727A78772418.en. Haliotis corrugata.

CrossRef Full Text | Google Scholar

Peters H., Rogers-Bennett L. (2021b). doi: 10.2305/IUCN.UK.2021-3.RLTS.T41880A78775277.en. Haliotis cracherodii.

CrossRef Full Text | Google Scholar

Peters H., Rogers-Bennett L. (2021c). doi: 10.2305/IUCN.UK.2021-3.RLTS.T78771696A78772593.en. Haliotis sorenseni.

CrossRef Full Text | Google Scholar

Poisson F., Filmalter J. D., Vernet A., Dagorn L. (2014). Mortality Rate of Silky Sharks (Carcharhinus Falciformis) Caught in the Tropical Tuna Purse Seine Fishery in the Indian Ocean. Can. J. Fish. Aquat. Sci. 71, 795–798. doi: 10.1139/cjfas-2013-0561#.WA7oVcmX9Hk

Google Scholar

Pollom R., Carlson J., Charvet P., Avalos C., Bizzarro J., Blanco-Parra M. P., et al. (2020). doi: 10.2305/IUCN.UK.2021-3.RLTS.T39387A205765567.en. Sphyrna tiburo.

CrossRef Full Text | Google Scholar

Pons M., Melnychuk M. C., Hilborn R. (2018). Management Effectiveness of Large Pelagic Fisheries in the High Seas. Fish Fish. 19, 260–270. doi: 10.1111/faf.12253

CrossRef Full Text | Google Scholar

Ponte S. (2012). The Marine Stewardship Council (MSC) and the Making of a Market for “Sustainable Fish.”J. Agrar. Change 12, 300–315. doi: 10.1111/j.1471-0366.2011.00345.x

CrossRef Full Text | Google Scholar

Ramírez-Rodríguez M., Chávez E. A., Arreguín-Sánchez F. (2000). Perspectiva De La Pesquería De Camarón Rosado (Farfantepenaeus Duorarum BURKENROAD) En La Sonda De Campeche, México. Cienc. Mar. 26 (1), 97–112. doi: 10.7773/cm.v26i1.569

CrossRef Full Text | Google Scholar

Reilly P. N., Wilson-Vandenberg D., Lea R. N., Wilson C., Sullivan M. (1994). Recreational Angler’s Guide to the Common Nearshore Fishes of Northern and Central California. Calif. Dept. Fish. 1, 1–57.

Google Scholar

Rodríguez-Quiroz G., Alberto Aragón-Noriega E., Valenzuela-Quiñónez W., Esparza-Leal H. M. (2010). Pesca Artesanal En Las Zonas De Conservación Del Alto Golfo De California. Rev. Biol. Mar. Oceanogr. 45, 89–98. doi: 10.4067/S0718-19572010000100008

CrossRef Full Text | Google Scholar

Roheim C. A. (2003). Early Indications of Market Impacts From the Marine Stewardship Council’s Ecolabeling of Seafood. Mar. Resour. Econ. 18, 95–104. doi: 10.1086/mre.18.1.42629385

CrossRef Full Text | Google Scholar

Romo-Curiel A. E., Ramírez-Mendoza Z., Fajardo-Yamamoto A., Ramírez-León M. R., García-Aguilar M. C., Herzka S. Z., et al. (2022). Assessing the Exposure Risk of Large Pelagic Fish to Oil Spills Scenarios in the Deep Waters of the Gulf of Mexico. Mar. pollut. Bull. 176, 113434. doi: 10.1016/j.marpolbul.2022.113434

PubMed Abstract | CrossRef Full Text | Google Scholar

Rowell K., Flessa K. W., Dettman D. L., Román M. (2005). The Importance of Colorado River Flow to Nursery Habitats of the Gulf Corvina (Cynoscion Othonopterus). Can. J. Fish. Aquat. Sci. 62, 2874–2885. doi: 10.1139/f05-193

CrossRef Full Text | Google Scholar

SAGARPA (2017). Anuario Estadístico de Acuacultura y Pesca Publicación 2017. , ed. Comisión Nacional de Acuacultura y Pesca México.

Google Scholar

SAGARPA (2020). Anuario Estadístico de Acuacultura y Pesca Publicación 2018. , ed. Comisión Nacional de Acuacultura y Pesca México.

Google Scholar

SAGARPA (2021). Anuario Estadístico de Acuacultura y Pesca Publicación 2019. , ed. C. N. de A. y Pesca México.

Google Scholar

Salas S., Chuenpagdee R., Seijo J. C., Charles A. (2007). Challenges in the Assessment and Management of Small-Scale Fisheries in Latin America and the Caribbean. Fish. Res. 87, 5–16. doi: 10.1016/j.fishres.2007.06.015

CrossRef Full Text | Google Scholar

Saldaña-ruiz L. E., Sosa-Nishizaki O., Cartamil D. (2017). Historical Reconstruction of Gulf of California Shark Fishery Landings and Species Composition , 1939 – 2014 , in a Data-Poor Fishery Context. Fish. Res. 195, 116–129. doi: 10.1016/j.fishres.2017.07.011

CrossRef Full Text | Google Scholar

Samyn Y. (2013). doi: 10.2305/IUCN.UK.2013-1.RLTS.T19708918A19746832.en. Holothuria casoae.

CrossRef Full Text | Google Scholar

Stevens J. D., Bonfil R., Dulvy N. K., Walker P. A. (2000). The Effects of Fishing on Sharks, Rays, and Chimaeras (Chondrichthyans), and the Implications for Marine Ecosystems. ICES J. Mar. Sci. 57, 476–494. doi: 10.1006/jmsc.2000.0724

CrossRef Full Text | Google Scholar

Stratoudakis Y., McConney P., Duncan J., Ghofar A., Gitonga N., Mohamed K. S., et al. (2016). Fisheries Certification in the Developing World: Locks and Keys or Square Pegs in Round Holes? Fish. Res. 182, 39–49. doi: 10.1016/j.fishres.2015.08.021

CrossRef Full Text | Google Scholar

Suárez-Moo P., de J., Rocha-Olivares A., Zapata-Pérez O., Quiroz-Moreno A., Sánchez-Teyer L. F. (2013). High Genetic Connectivity in the Atlantic Sharpnose Shark, Rhizoprionodon Terraenovae, From the Southeast Gulf of Mexico Inferred From AFLP Fingerprinting. Fish. Res. 147, 338–343. doi: 10.1016/j.fishres.2013.07.003

CrossRef Full Text | Google Scholar

Trasviña A., Barton E. D., Brown J., Velez H. S., Kosro P. M., Smith R. L. (1995). Offshore Wind Forcing in the Gulf of Tehuantepec, Mexico: The Asymmetric Circulation. J. Geophys. Res. 100, 20649. doi: 10.1029/95JC01283

CrossRef Full Text | Google Scholar

Vázquez-Rowe I., Villanueva-Rey P., Moreira M. T., Feijoo G. (2013). The Role of Consumer Purchase and Post-Purchase Decision-Making in Sustainable Seafood Consumption. A Spanish Case Study Using Carbon Footprinting. Food Policy 41, 94–102. doi: 10.1016/j.foodpol.2013.04.009

CrossRef Full Text | Google Scholar

Villalejo-Fuerte M., Arellano-Martínez M., Ceballos-Vázquez B. P., García-Domínguez F. (2000). Ciclo Reproductivo De La Almeja Chocolata Megapitaria Squalida (Sowerb) (Bivalvia: Veneridae) En Bahía Juncalito, Golfo De California, México. Hidrobiológica 10, 165–168.

Google Scholar

Villarreal-Chávez G., García-Domínguez F., Correa F., Castro-Castro N. (1999). Note on the Geographic Distribution of Chione Cortezi (Carpente) (Mollusca: Pelecypoda: Veneridae). Cienc. Mar. 25, 145–152. doi: 10.7773/cm.v25i1.639

CrossRef Full Text | Google Scholar

Wakida-Kusunoki A. T., MacKenzie C. L. (2004). Rangia and Marsh Clams, Rangia Cuneata, R. Flexuosa, and Polymesoda Caroliniana, in Eastern México: Distribution, Biology, and Ecology, and Historical Fisheries. Mar. Fish. Rev. 66, 13–20.

Google Scholar

Ward T. J., Phillips B. (2008). “Ecolabelling of Seafood: The Basic Concepts,” in SEAFOOD Ecolabelling (Oxford, UK: Wiley-Blackwell), 472. doi: 10.1002/9781444301380.ch1

CrossRef Full Text | Google Scholar

Seafood Watch S. (2020). Seafood Watch Standard for Fisheries Version F4. Monterey Bay Aquarium Seafood Watch, Monterey, California.

Google Scholar

White T. D., Ferretti F., Kroodsma D. A., Hazen E. L., Carlisle A. B., Scales K. L., et al. (2019). Predicted Hotspots of Overlap Between Highly Migratory Fishes and Industrial Fishing Fleets in the Northeast Pacific. Sci. Adv. 5, 1–12. doi: 10.1126/sciadv.aau3761

CrossRef Full Text | Google Scholar

Williams E. H., Ralston S. (2002). Distribution and Co-Occurrence of Rockfishes (Family: Sebastidae) Over Trawlable Shelf and Slope Habitats of California and Southern Oregon. Fish. Bull. 100, 836–855.

Google Scholar

Yan H. F., Kyne P. M., Jabado R. W., Leeney R. H., Davidson L. N. K., Derrick D. H., et al. (2021). Overfishing and Habitat Loss Drives Range Contraction of Iconic Marine Fishes to Near Extinction. Sci. Adv. 7, 1–11. doi: 10.1126/sciadv.abb6026

CrossRef Full Text | Google Scholar