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Latin american journal of aquatic research

On-line version ISSN 0718-560X

Lat. Am. J. Aquat. Res. vol.48 no.1 Valparaíso Mar. 2020

http://dx.doi.org/10.3856/vol48-issue1-fulltext-2176 

Research Article

Interactions of small-scale fisheries in Mexico's northwest Pacific

Francisco Javier Mendoza-Portillo1 

Mauricio Ramírez-Rodríguez1 

Víctor Vargas-López2 

1Centro Interdisciplinario de Ciencias Marinas del Instituto Politécnico Nacional (CICIMAP-IPN) La Paz, Baja California Sur, México

2Centro Regional de Investigación Acuícola y Pesquera La Paz del Instituto Nacional de Pesca y Acuacultura SAGARPA, La Paz, Baja California Sur, México

ABSTRACT

In Mexico, as in other parts of the world, there is limited knowledge regarding the operation of small-scale fisheries. Also, there is an urgent need for the diversity of fisheries and their interactions, and the diversity of species to be analyzed on a regional level. In this study, the dynamics of the small-scale fleet operating in San Ignacio in the northwestern Pacific of the state of Baja California Sur were analyzed, recognizing the fishery's multi-species and multi-gear character and its effect on the spatial and temporal distribution of the fishing effort. The operative units (OU) approach was applied; OUs are defined as the set of associated vessels that exploit one or more target species using similar fishing gears. The information about species, gears, sites and fishing seasons was obtained from interviews with 74 fishers. The OUs identified included: diving-pen shell scallop; diving-squalid callista; diving-Pismo clam; collection-black ark; trap-barred sand bass; trap-crab; trap-lobster; cast net-shrimp; bottom net-fish; surface net-fish; bottom net-shark. The variation in the activity of each OU is related to the availability of the resources, prices of the products and official restrictions. From a management perspective, this method helps to clarify which OUs adhere to specific rules associated with their métier and others, which are less well defined since their OU characteristics are associated with their fishery level. The definition and characterization of the OU, based on the local knowledge of the fishermen, assist the design of management schemes that consider the spatial and temporal complexity of the small-scale fisheries.

Keywords: fleet dynamic; operative units; artisanal fleets; local knowledge; northwestern Pacific, Mexico

INTRODUCTION

In Mexico, as in other parts of the world, the artisanal or small-scale fishery (SSF) is characterized by being dynamic and complex involving biological, technical, economic and social variables related to the exploitation of multiple species, gears and fishing methods, coastal environments and local and regional markets (Espino-Barr & Cruz-Romero, 2006; Ramírez-Rodríguez, 2009; Arreguín-Sánchez & Arcos-Huitron, 2011; Fernández et al., 2011). These characteristics affect the development of measures for the evaluation and management of the fishery (Berkes et al., 2001; FAO, 2005; Salas et al., 2007; Espinoza-Romero et al., 2014).

In general, the management measures for industrial and small-scale fisheries are related to rules controlling the fishing effort and exploitation rate derived from models of monospecific fisheries. However, this approach is inadequate because of the multi-species nature of the SSF and the presence of biological and technical interactions (Kempf et al., 2016). Besides, on a multi-fleet context, the optimal fishing effort needs to be established by the fleet, taking into account the fact that each fleet may be, harvesting different sets of species and with different exploitation patterns for each of them (ICES, 2008). Thus, for the fisheries that operate in a given region, it is necessary to consider the effect of their spatial-temporal coexistence on the performance of each individual fishery and on the ecosystem (ICES, 2003; Vinther et al., 2004; Branch et al., 2006; Marchal, 2008). The analysis includes fishers' behavior and their relationship with factors such as resources abundance, price of fish products, costs of operation and official fishing restrictions (Rijnsdorp et al., 2000; Salas & Gaertner, 2004; Tzanatos et al., 2006; Duarte et al., 2009; Ramírez-Rodríguez & Ojeda-Ruiz, 2012; Barnes-Mauthe et al., 2013). The problem is related with the quantity and quality of data and information about the fisheries that in SSF are generally scarce and difficult to obtain (Marchal et al., 2013), but the analysis of the fleet dynamics can contribute to decision making which affects the fishing performance on a regional level.

The present study intends to characterize the dynamics of the small-scale fishing fleet in a fishing region, i.e., the group of vessels of less than 10 t that operate with an outboard motor in the region of San Ignacio, regardless of the target species. Following ICES (2003), the analysis includes the identification of fisheries and métiers as operative units with different levels of the organization. The fishery is defined as a group of vessels that capture the same target species, utilizing different fishing gears during the same period of the year and within the same area; for example, finfish fisheries (several species) that use gill nets (different models). The métier implicates a homogeneous subdivision of the fishery by vessel-fishing gear type in a given region; for instance, fishing for spiny lobster with traps. The general idea of recognizing operative units is they allow the grouping of trips with landings that are related more precisely to the nature of the fishing activities, and they facilitate the analysis of catch data per unit of effort (ICES, 2003).

Operative units can be identified using official catch landing reports, and data from fishing logbooks or interviews with fishers (Neis et al., 1999; Ulrich et al., 2001; Marchal, 2008; Forcada et al., 2010; Davie & Lordan, 2011; Castro et al., 2012). The interviews have mainly been used when data are scarce, which is common in many small-scale fisheries (Battaglia et al., 2010; Forcada et al., 2010; Moreno-Báez et al., 2012; González-Álvarez, 2016; Arce-Acosta et al., 2018). In all cases, one issue relates to the geographical scale of the region in which the operative unit is analyzed. For example, regions such as the North Sea (Marchal, 2008), the Portuguese continental shelf (Duarte et al., 2009), the central region of the Mediterranean Sea (Battaglia et al., 2010), the Danish North Sea (Andersen et al., 2012), the non-Iberian European waters (Castro et al., 2012) or the Mozambique Channel (Barnes-Mauthe et al., 2013).

Results can be linked to spatial management measures that recognize regions determined by ecological conditions, types of fleet and the infrastructure of the fishing industry. In each region, there are multiple users, communities and operative units that interact using fishing zones and fishery resources; therefore, in each region, specific management rules could be adapted.

Generally, the spatial references to define fishing regions (effort, catch and operation costs per fishing locality) are obtained from “geographical quadrants” designed based on the knowledge of the spatial distribution of the target resource and the mobility of the fleet. For the small-scale fishery, this is not always possible. For instance, in Mexico, it is common for management methods not to distinguish between fisheries in different regions using appropriate scales (i.e., Mexican Pacific, northern Gulf of California, the western central coast of the Gulf of California) (Moreno-Báez et al., 2010, 2012; Cisneros-Mata et al., 2014; Arce-Acosta et al., 2018). The present study suggests that the characterization of the operative units of small-scale fisheries be the first step in the identification of possible management objectives on a regional fishery level and, therefore, the small-scale fishery in the region of the San Ignacio Lagoon is analyzed as a case study to demonstrate this methodology.

MATERIALS AND METHODS

Study area

The San Ignacio Lagoon region is located on the western coast of the Baja California Sur Peninsula, Mexico (Fig. 1), and, concerning fishing resources it extends from Punta Abreojos to the estuary of El Datil, including the San Ignacio Lagoon.

Figure 1 Location of the San Ignacio region on the western coast of Baja California Sur, Mexico. 

The region is known for its high species diversity of temperate and subtropical origin, and some of these species are of commercial interest (Lluch-Belda, 2000; Funes-Rodríguez et al., 2007). In 1979, it was decreed as a refuge zone for migratory birds, whales and whale calves, and, since 1988, it has been part of the Vizcaino Biosphere Reserve, the largest protected natural area of Mexico.

In the region, there are five coastal communities (Laguna San Ignacio, El Cardón, El Delgadito, El Dátil, and Ejido Luis Echeverría) connected by unpaved roads, and the water, electric energy, education and health services are limited. It is estimated that there are 667 people, of whom 237 make up the economically active population. The primary economic activity is fishing and, to a lesser extent, tourism, associated with the grey whale (Eschrichtius robustus) watching and the aquaculture of oysters Crassostrea gigas and C. sikamea (INEGI, 2010; SEMARNAT, 2010).

According to data provided by the National Commission of Aquaculture and Fisheries, the fishing fleet in the San Ignacio region is estimated to be 94 vessels, each with a capacity of less than 10 t and an outboard motor. Since each vessel holds two fishers, the fleet constitutes approximately 188 fishers, which represents 80% of the total number of economically active people. Fishing takes place in at least 21 sites located within the lagoon and in the coastal areas that include fishing banks with depths of up to 140 m (Ramírez-Rodríguez et al., 2010).

The majority of the fishermen are affiliated with the Fisheries Production Cooperatives, and only a few works with private businesses. All the fishermen are covered by licenses for fishing, and some have concessions, both granted by the federal government.

In the region of San Ignacio, there are a history of collapse for abalone, Pismo clam (Tivela stultorum) and Pacific calico scallop Argopecten circularis fisheries (León-Carballo & Muciño-Díaz, 1996; Massó-Rojas & Fajardo, 1996). Although there are discussions of the causes, the idea of overexploitation prevails, but the effects of environmental and biological factors associated with the El Niño phenomenon cannot be ruled out. Currently, the total annual catch of different species reaches an average of 1,800 t (Ramírez-Rodríguez et al., 2010). The catch includes fish species of the family Sciaenidae (weakfish) and Pleuronectidae (flounders) (the scientific names can be found in Table 1); in addition, the Mexican spiny lobster Panulirus interruptus, warrior swim crab Callinectes bellicosus, and bivalves of the family Pinnidae (maura pen shell Atrina maura and rugose pen shell Pinna rugose), and Veneridae (Pismo clam Tivela stultorum and squalid callista Megapitaria squalida) have also been recorded. For the shark, ray, lobster and shrimp fishing, management measures have been established that meet Mexican Official Standards (SAGARPA, 2007, 2013, 2016). Moreover, for some species, the National Fisheries Charter provides guidelines for their exploitation (SAGARPA, 2012). The exploitation of the Pismo clam follows the endangered species standards (SEMARNAT, 2010).

Table 1 Exploited species and fishing gears used in the San Ignacio region. 

Common name Scientific name Family Fishing gear
Maura pen shell Atrina maura Pinnidae 1
Rugose pen shell Pinna rugose Pinnidae 1
Pismo clam Tivela stultorum Veneridae 1
Squalid callista Megapitaria squalida Veneridae 1
Black ark Anadara tuberculosa Arcidae 2
Mexican spiny lobster Panulirus interruptus Palinuridae 3
Warrior swim crab Callinectes bellicosus Portunidae 3
Yellowleg shrimp Farfantepenaeus californiensis Penaeidae 4
California flounder Paralichthys californicus Paralichthyidae 5
Barred sand bass Paralabrax nebulifer Serranidae 3
Shortfin weakfish Cynoscion parvipinnis Sciaenidae 6
White weakfish Atractoscion nobilis Sciaenidae 5,6
Yellowtail amberjack Seriola lalandi Carangidae 5,6
Pacific sierra Scomberomorus sierra Scombridae 6
Flathead mullet Mugil cephalus Mugilidae 5,6
Sharks Several species 5

Type of fishing gear, 1: diving, 2: manual collection, 3: trap, 4: cast net, 5: bottom net, 6: surface net.

Data

The research strategy is based on the characterization of operative units, considering the spatial and temporal dynamics of each unit and the evaluation of interactions between units. Data were obtained from interviews with 74 fishermen (40% of the total fishers in the region) for the purposes of this study. In most cases, the interviewees were the captains of the vessels since they are the most experienced fishers. The fieldwork was carried out in October 2016 and September 2017.

In the design and application of the interview, the recommendations proposed by Neis et al. (1999) and Moreno-Báez et al. (2012) were considered, including the use of clear and everyday language, maps with basic toponomy, and validation through interviews with key administrators and informants. Questions were sought to assess the experience of the interviewees, catch by species, gears, locations and seasons.

For each question, the corresponding percentage of each possible answer was estimated. Answers to questions regarding individual species were referred to with their common names as used in the region and, subsequently, they were associated with their corresponding scientific and family names (Ramírez-Rodríguez, 2015). The questions regarding fishing gears sought to identify the type of gear, but not to include technical details about their construction and use.

The fishermen marked the fishing locations on specially prepared maps. Geographic data were based on Ramírez-Rodríguez et al. (2006) and were complemented with information from fishers. The data were linked to the geographic information system, QGIS version 7.0 (Quantum GIS, 2014), to produce thematic maps as proposed by Close & Hall (2006). To identify fishing zones, we constructed a database that included the distance in kilometers between fishing locations and landing ports.

Following this, a hierarchical clustering analysis, using as a distance measure the Euclidean distance and as agglomeration method the method of Ward's using R language (R Core Team, 2015) was performed; the fishing areas were considered as a set of approximate catch sites that form a different group in the group diagram. The areas were grouped in zones to represent the spatial heterogeneity according to the results of the cluster analysis and external criteria such as depth of the sites, the target species captured and the proximity between the sites.

The definitions of the operational units (OUs) were derived from the relationship between the target species and the fishing gear. We used a presence-absence database and Ward's hierarchical grouping method (McCune et al., 2002). As recommended by Tzanatos et al. (2006), the definitions were complemented considering the information obtained from surveys on fishing gears, catch seasons and management schemes that apply in the region.

Each group was defined as an operative unit, i.e., a group of boats using a defined fishing gear to catch specific target species. Each OU was characterized considering the maximum and average catch data, the value of the catch per trip and frequency of use of the fishing zones and seasons.

The degree of activity per month of each OU was estimated as the percentage of fishers that reported to have participated in a given OU in a given month. Considering the seasonal trends in the seawater temperature within the region (Barjau-González et al., 2014), activity data was grouped by trimester. During October-December mean water temperature is around 21°C; from January to March it is 13°C; April to June 21°C and from July to September 24°C.

Thematic maps of fishing zones used to show the overlap of the OU activities were made to describe the interaction processes between operative units.

RESULTS

About 90% of the 74 fishers interviewed belong to 12 of the 18 cooperatives that operate in the region of San Ignacio; 10% work for private businesses. The average age of the fishermen is 43 years, and 88% have more than 10 years of fishing experience in the region. These data suggest that the respondents have sufficient experience to comment on the development of fishing in the region.

The fishermen referred to the capture of at least 15 species and the use of six types of fishing gears (Table 1). According to 44% of the responders, the maura pen shell Atrina maura was the most important resource, followed by the rugose pen shell Pinna rugose 39%, California flounder Paralichthys californicus 20%, yellow amberjack Seriola lalandi 17%, and barred sand bass Paralabrax nebulifer 16%. Seventy percent of the fishermen considered the beach selling price as a factor indicating the importance of the resource; 27% considered the resource abundance to indicate importance. Although the response possibilities included market demand, operation costs and license availability, these factors were not found to be relevant.

From the cluster analysis between fishing gears and captured species, we identified 10 groups (Fig. 2). However, additional information from surveys allowed us to get a better definition of operative units. The trap-warrior swim crab Callinectes bellicosus and the trap-Mexican spiny lobster Panulirus interruptus belonged to a single group. However, each of them uses specifically designed traps according to the target species and was managed as independent units (SAGARPA, 2012); therefore, were classified as independent operative units.

Figure 2 Operative units of the small-scale fleet in the San Ignacio region. 

The diving-scallop (pen shells) cluster includes two different target species, but both are captured using the same technique and are registered together in fishing landings records. As a consequence, they represent the same fishery, including two species (Maura pen shell and rugose pen shell).

The cluster diving-squalid callista Megapitaria squalida and diving-Pismo clam Tivela stultorum includes two independent OUs because the target species are registered and managed by different institutions: the Callista one by Comisión Nacional de Acuacultura y Pesca-CONAPESCA (SAGARPA, 2012), and the Pismo one by Secretaría de Medio Ambiente y Recursos Naturales (SEMARNAT, 2010).

The finfish fisheries are clearly multispecific, but they were divided into two operative units according to the fishing gear type: bottom and surface nets. The former comprised as target species the California flounder, yellowtail amberjack, and shortfin weakfish Cynoscion parvipinnis. The surface net cluster included as target species the white weakfish Atractoscion nobilis, Pacific sierra Scomberomorus sierra, and flathead mullet Mugil cephalus.

From the ten groups obtained in the analysis, we distinguish 11 operative units: 7 métiers and four fisheries. 1: trap-barred sand bass, 2: trap-Mexican spiny lobster, 3: trap-warrior swim crab, 4: diving-scallop (pen shells), 5: diving-squalid callista, 6: diving-Pismo clam, 7: cast netyellowleg shrimp, 8: manual collection-black ark, 9: bottom nets-sharks, 10: surface nets-fish (white weakfish, Pacific sierra and flathead mullet), and 11: bottom nets-fish (California flounder, yellowtail amberjack and shortfin weakfish).

On average, the operative units with the highest activity were trap-barred sand bass, trap-Mexican spiny lobster, diving-pen shells and bottom nets-fish (Fig. 3). The percentage of each OU activity could be related to official temporary closures and relative abundance of target species. Some units remained in operation throughout the year, and others could be active for two or three seasons; only the cast net-shrimp OU is active for one season.

Figure 3 Percentage of activity per trimester for each operative unit in the San Ignacio region. 

The general production cycle in the San Ignacio region showed that barred sand bass OU is active throughout every season, representing between 30 and 37% of the total activity per season. During October-December, the trap-lobster OU exhibits a peak of activity (28%), as well as the trap-swim crab (16%); during this period, five other OUs are active but contribute less than 10% each to the total activity. During January-March, the lobster and the swimming crab OUs decreased activity (15 and 8%, respectively), while the pen shell OU becomes active (36%); during this season, the shark and Pismo clam OUs exhibit very low activity. From April to June, the activity of the pen shell and the swimming crab OUs decrease, but the bottom net fish OU is highly active, followed by the surface net fish OU; during this period, the squalid callista and the black ark OU become active. Finally, during July-September, as the activity of the pen shell OU decreases, the bottom net fish OU is maximally active (27%), and the warrior crab, the surface net fish, and the bottom net sharks OUs increase participation (Fig. 3).

The alternative use of the different resources was also related to physiographic characteristics at the fishing zones, depth and the position of fishers in- or outside of the lagoon. The intention to group areas on the fishing zone was to represent the higher spatial heterogeneity of the region, taking into account the depth of the sites, the target species and the proximity between the sites.

From the cluster analysis, we found evidence of five fishing zones (Fig. 4). Zone Z1 was located inside and in the upper part of the lagoon; Z2 was located in the middle part of the lagoon; Z3 included areas near the mouth of the lagoon, Estero del Cardón, and the coastal area; Z4 and Z5 included the deeper fishing localities at the San Ignacio region (Z4 at the southern part and Z5 at the northern part of the same region (Fig. 5).

Figure 4 Fishing zones of the small-scale fleet in the San Ignacio region. 

Figure 5 Fishing zones (Z1, Z2, Z3, Z4, Z5) used by the operative units diving-scallop, trap-barred sand bass, bottom nets-fish, surface nets-fish, and trap-lobster. 

In zones, Z1 and Z2, 80% of the fishermen participate in the diving-pen shell OU (Fig. 6). In the coastal zones (Z4 and Z5), the OUs trap-barred sand bass and bottom-nets fish (51%) are predominant. In zone Z3, in shallow areas, the OUs diving-Pismo clam and diving-squalid callista occur, but in the deeper regions, the most OUs active are bottom nets, surface nets, and the OU trap-Mexican spiny lobster. This information allows the identification of interaction processes between the OUs in the region.

Figure 6 Frequency of use of fishing zones by operative units. 

DISCUSSION

The interviews with the fishermen provided valuable information for the evaluation of fishery dynamics in the region of San Ignacio; the findings of this study are relevant to the design of sustainable, integrated, efficient and specific management in the context of regional mixed fisheries. Professional fishers with the extensive experience provided the data and cross-checked questions related to species, catch quantities, seasons and fishing areas that facilitated the assessment of consistency in the answers. Also, the obtained information was verified through key informants that included anglers, administrators and academics.

Other studies (Rijnsdorp et al., 2000; Salas & Gaertner, 2004; Tzanatos et al., 2006; Ramírez-Rodríguez, 2011; Barnes-Mauthe et al., 2013) have indicated similar complexity and dynamics to the fisheries of San Ignacio attributing these to the diversity of target species, gears, fishing zones and seasons and documenting that this complexity offers the fishermen rentable, secure and comfortable alternatives. However, the possibility of working in one or another OU, i.e., fishers' adaptive capacity, being defined in some cases as generalists (Cabrera & Defeo, 2001; Tzanatos et al., 2006; Forcada et al., 2010), depends on the fisher having the necessary license and following decisions that have been made based on the abundances, costs and distance to the base port, but the combination provides the fishermen with possible production cycles and alternatives.

In this region, as in others (Accadia & Franquesa, 2006; Ramírez-Rodríguez & Ojeda-Ruiz, 2012), the OUs are involved in seasonal rotation processes, determined by fishing success according to the season and the fishing zones. In San Ignacio, seasonal rotation processes are related to compliance with temporary closures of fishing for lobster and shrimp, the abundance and price of pen shells, and Pismo clam Tivela stultorum, the abundance of barred sand bass Paralabrax nebulifer (despite their low price). The availability of fish that are accessible using bottom and surface nets during summer and of warrior swim crab Callinectes bellicosus, squalid callista Megapitaria squalida, and black ark Anadara tuberculosa during short seasons.

The definition of fishing zones allows the recognition of spatial-temporal differences in the exploitation of resources and the generation of indicators that allow assessment of interaction effects between fisheries on appropriate geographic scales (Moreno-Báez et al., 2012; Ojeda-Ruiz & Ramírez-Rodríguez, 2014; Ojeda-Ruiz et al., 2015). The distance of the catch location from the base ports is important. For example, the OUs diving-pen shells, diving-squalid callista and trap-warrior mainly operate near the ports, but the traps for barred sand bass and the bottom and surface nets for fish can operate much further away from the ports. The fishers must have a preference for the OUs they participate in, the seasons and the costs of each one.

The interactions between the OUs are related to the fishing zones and seasons, and the management of these interactions should consider the fleet dynamics (Tzanatos et al., 2006). In some zones, the number of OUs that are simultaneously active is low, and, therefore, any subsequent interactions would be low. In contrast, the increased number of simultaneously active OUs in other zones results in higher interactions. The challenge for regional fisheries management, which strives for ecological, social and economic sustainability, is to consider the potential effects that implementing regulation on a specific OU could have on the other OUs with which it interacts. For example, the effect of approving a protected marine area on the different OUs that are active within that region, which, depending on the number of licenses held by fishers, might influence the fishing effort for a particular target species, e.g., finfish.

Regarding economic profits, all the OUs and fish products that are commercialized are essential for the sustainability of the fishing cooperatives and private businesses located in the region. The results of the present study, in the region of San Ignacio, indicate the necessity of regional management plans to consider the performance of each operational unit and the possible effects of their interactions on their activities and, thus, on regional fishing. In the short term, the management measures applied in regional fisheries should consider the dynamics and interaction of the operative units, for which it is necessary to define the indicators, laws and management controls related to the interaction between fisheries (Vinther et al., 2004; Hilborn, 2011; Gascuel et al., 2012). Following Salas & Gaertner (2004), sustainability cannot be achieved with regulations based on data from natural resources alone.

From a management perspective, by recognizing operative units, it is possible to clarify which are associated with their métier characteristics, i.e., one species - one fishing gear (trap-lobster, trap-swim crab, cast net-shrimp). Whereas, for others, the rules are not so well defined since their OU characteristics are associated with the fishery level, i.e., several species - several models of one type of fishing gear. In Mexico, fishers require a finfish license to use different nets or traps for fishes. Our results show that recognizing the OUs bottom nets-fishes, surface nets-fishes, and trap-barred sea bass, would allow the implementation of a particular set of rules in each case, based on fishing gear selectivity, for different groups of species (species catch composition) in time and space. However, an analysis is necessary because, on the one hand, it will improve fisheries management, but on the other, it will restrict the fishers' adaptive capacity. Recognizing the interactions between OUs facilitates understanding of the strategies used by fishers to achieve their economic and social goals (Ojeda-Ruiz & Ramírez-Rodríguez, 2014). For the manager, it will enhance understanding of how to control total fishing effort (in time and space) and, simultaneously, promote new or reinforce current economic activities for the fishers and communities according to the region's characteristics.

CONCLUSIONS

The fishing agreements established in the region of San Ignacio, which are derived from the fishermen's spatial and temporal knowledge of the technical processes, contribute to the understanding of how the activities of the operative units develop in production cycles that support the performance of the economic units. This approach could be useful for small scale fisheries in any region and allows further discussion about the objectives of the operative units in a given region. Recommendations for management action and potential studies that contribute to the anticipation of conflicts arising from changes in the operation patterns as a result of overfishing, the environment, or management measures implemented on an operative unit without considering their effects on others.

As indicated by Salas & Gaertner (2004) and Monroy et al. (2010), traditional management schemes overlook the behavior of the fishermen, who are an integral part of the system. Of particular interest is the study of the interactions between operative units and management possibilities, including the use of different fishing zones, the competitive behavior of the fishermen and their ability to adapt to changes in the system.

ACKNOWLEDGMENTS

The National Polytechnic Institute of Mexico (Instituto Politécnico Nacional) supported this work. FJMP thanks to the Mexican National Science Council (CONACYT). Graham Hope did the English edition.

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Received: August 06, 2018; Accepted: October 01, 2019

Corresponding author: Mauricio Ramírez-Rodríguez (mramirr@ipn.mx)

Corresponding editor: Patricio Arana

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