Captures of manta and devil rays by small-scale gillnet fisheries in northern Peru

Alfaro-Córdova, Eliana; Solar, Alonso Del; Alfaro‐Shigueto, Joanna; Mangel, Jeffrey C.; Díaz, Betsy Buitrón; Carrillo, Omar; Sarmiento, David

doi:10.1016/j.fishres.2017.06.012

Cited by 32 publications

(20 citation statements)

References 18 publications

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“…The giant devil ray M . mobular (Myliobatiformes: Mobulidae), which is the most landed mobulid species in northern Peru [ 49 ], was also the most abundant batoid and only mobulid species detected in this study, being found in three FLSs (n = 5), three MKs (n = 4), and one RT (n = 1). In Peru, the genus Mobula comprises five species including M .…”

Section: Resultsmentioning

confidence: 94%

“…munkiana [ 50 ]. Predominantly gillnets are used by small-scale and industrial fisheries to target mobulids, but they are also caught as bycatch in the tuna purse seine fishery [ 49 ]. In spite of their commercial value, conservation concerns, and promising management and conservation efforts targeting chondrichthyan species (i.e., PAN Tiburón-Perú and a law prohibiting M .…”

Section: Resultsmentioning

confidence: 99%

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A glimpse into the genetic diversity of the Peruvian seafood sector: Unveiling species substitution, mislabeling and trade of threatened species

et al. 2018

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Peru is one of the world’s leading fishing nations and its seafood industry relies on the trade of a vast variety of aquatic resources, playing a key role in the country’s socio-economic development. DNA barcoding has become of paramount importance for systematics, conservation, and seafood traceability, complementing or even surpassing conventional identification methods when target organisms show similar morphology during the early life stages, have recently diverged, or have undergone processing. Aiming to increase our knowledge of the species diversity available across the Peruvian supply chain (from fish landing sites to markets and restaurants), we applied full and mini-barcoding approaches targeting three mitochondrial genes (COI, 16S, and 12S) and the control region to identify samples purchased at retailers from six departments along the north-central Peruvian coast. DNA barcodes from 131 samples were assigned to 55 species (plus five genus-level taxa) comprising 47 families, 24 orders, and six classes including Actinopterygii (45.03%), Chondrichthyes (36.64%), Bivalvia (6.87%), Cephalopoda (6.11%), Malacostraca (3.82%), and Gastropoda (1.53%). The identified samples included commercially important pelagic (anchovy, bonito, dolphinfish) and demersal (hake, smooth-hound, Peruvian rock seabass, croaker) fish species. Our results unveiled the marketing of protected and threatened species such as whale shark, Atlantic white marlin, smooth hammerhead (some specimens collected during closed season), shortfin mako, and pelagic thresher sharks. A total of 35 samples (26.72%) were mislabeled, including tilapia labeled as wild marine fish, dolphinfish and hake labeled as grouper, and different shark species sold as “smooth-hounds”. The present study highlights the necessity of implementing traceability and monitoring programs along the entire seafood supply chain using molecular tools to enhance sustainability efforts and ensure consumer choice.

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Section: Resultsmentioning

confidence: 94%

Section: Resultsmentioning

confidence: 99%

A glimpse into the genetic diversity of the Peruvian seafood sector: Unveiling species substitution, mislabeling and trade of threatened species

et al. 2018

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“…Mobulids are targeted or caught as bycatch in virtually every fishing gear type, including small-scale fisheries characterized by the use of driftnets, gillnets, harpoons, gaffs, traps, trawls, and longlines; and large-scale fisheries using driftnets, trawls and purse seines (Croll et al, 2016). The level of bycatch depends greatly on the fishing method used, with the highest bycatch rates reported from gillnets and purse seiners (Croll et al, 2016;Alfaro-Cordova et al, 2017). The slow population growth rates of mobulid populations largely exclude them from considerations of sustainable targeted fisheries (Dulvy et al, 2014;Pardo et al, 2016a).…”

Section: Bycatch and Fisheriesmentioning

confidence: 99%

Research Priorities to Support Effective Manta and Devil Ray Conservation

et al. 2018

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Manta and devil rays are filter-feeding elasmobranchs that are found circumglobally in tropical and subtropical waters. Although relatively understudied for most of the Twentieth century, public awareness and scientific research on these species has increased dramatically in recent years. Much of this attention has been in response to targeted fisheries, international trade in mobulid products, and a growing concern over the fate of exploited populations. Despite progress in mobulid research, major knowledge gaps still exist, hindering the development of effective management and conservation strategies. We assembled 30 leaders and emerging experts in the fields of mobulid biology, ecology, and conservation to identify pressing knowledge gaps that must be filled to facilitate improved science-based management of these vulnerable species. We highlight focal research topics in the subject areas of taxonomy and diversity, life history, reproduction and nursery areas, population trends, bycatch and fisheries, spatial dynamics and Stewart et al. Research Priorities for Mobulid Rays movements, foraging and diving, pollution and contaminants, and sub-lethal impacts. Mobulid rays remain a poorly studied group, and therefore our list of important knowledge gaps is extensive. However, we hope that this identification of high priority knowledge gaps will stimulate and focus future mobulid research.

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“…Eastern Tropical Pacific tuna purse seine fisheries capture the greatest numbers of mobulids in bycatch compared to other gears and regions 25 – 27 . The Spinetail Devil Ray, or Mobula mobular (Müller & Henle, 1841), is one of the most frequently caught mobulid bycatch species in eastern tropical Pacific tuna purse-seine fisheries 27 – 29 .…”

Section: Introductionmentioning

confidence: 99%

Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular)

Lezama-Ochoa

Pennino

Hall

et al. 2020

Sci Rep

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To protect the most vulnerable marine species it is essential to have an understanding of their spatiotemporal distributions. In recent decades, Bayesian statistics have been successfully used to quantify uncertainty surrounding identified areas of interest for bycatch species. However, conventional simulation-based approaches are often computationally intensive. To address this issue, in this study, an alternative Bayesian approach (Integrated Nested Laplace Approximation with Stochastic Partial Differential Equation, INLA-SPDE) is used to predict the occurrence of Mobula mobular species in the eastern Pacific Ocean (EPO). Specifically, a Generalized Additive Model is implemented to analyze data from the Inter-American Tropical Tuna Commission’s (IATTC) tropical tuna purse-seine fishery observer bycatch database (2005–2015). The INLA-SPDE approach had the potential to predict both the areas of importance in the EPO, that are already known for this species, and the more marginal hotspots, such as the Gulf of California and the Equatorial area which are not identified using other habitat models. Some drawbacks were identified with the INLA-SPDE database, including the difficulties of dealing with categorical variables and triangulating effectively to analyze spatial data. Despite these challenges, we conclude that INLA approach method is an useful complementary and/or alternative approach to traditional ones when modeling bycatch data to inform accurately management decisions.

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Captures of manta and devil rays by small-scale gillnet fisheries in northern Peru

Cited by 32 publications

References 18 publications

A glimpse into the genetic diversity of the Peruvian seafood sector: Unveiling species substitution, mislabeling and trade of threatened species

A glimpse into the genetic diversity of the Peruvian seafood sector: Unveiling species substitution, mislabeling and trade of threatened species

Research Priorities to Support Effective Manta and Devil Ray Conservation

Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular)

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