Characterizing environmental and spatial variables associated with the incidental catch of olive ridley (Lepidochelys olivacea) in the Eastern Tropical Pacific purse-seine fishery. Montero, J., Martinez-Rincon, R., Heppell, S., Hall, M., & Ewal, M. Fisheries Oceanography, 25(1):1–14, 2016. cited By 1![Characterizing environmental and spatial variables associated with the incidental catch of olive ridley (Lepidochelys olivacea) in the Eastern Tropical Pacific purse-seine fishery [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In the Eastern Tropical Pacific (ETP), a region of high fishing activity, olive ridley (Lepidochelis olivacea) and other sea turtles are accidentally caught in fishing nets with tuna and other animals. To date, the interaction between fishing activity, ocean conditions and sea turtle incidental catch in the ETP has been described and quantified, but the factors leading to the interaction of olive ridleys and fishing activity are not well understood. This information is essential for the development of future management strategies that avoid bycatch and incidental captures of sea turtles. We used Generalized additive models (GAM) to analyze the relationship between olive ridley incidental catch per unit effort (iCPUE) in the ETP purse-seine fisheries and environmental conditions, geographic extent and fishing set type (associated with dolphins, floating objects or in free-swimming tuna schools). Our results suggest that water temperature, set type and geographic location (latitude, longitude and distance to nesting beaches) are the most important predictor variables to describe the probability of a capture event, with the highest iCPUE observed in sets made over floating objects. With the environmental predictors used, sea surface temperatures (SST) of 26-30°C and chlorophyll-a (chl-a) concentrations <0.36 mg m-3 were associated with the highest probability of an incidental catch. Temporally, the highest probability of an incidental catch was observed in the second half of the year (June to December). Four regions were observed as high incidental catch hotspots: North and south of the equator between 0-10°N; 0-10°S and from 120 to 140°W; and along the Colombian coast and surrounding regions. © 2016 John Wiley & Sons Ltd.
@article{montero_characterizing_2016,
title = {Characterizing environmental and spatial variables associated with the incidental catch of olive ridley ({Lepidochelys} olivacea) in the {Eastern} {Tropical} {Pacific} purse-seine fishery},
volume = {25},
issn = {10546006},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952011121&partnerID=40&md5=b7bb59e27bcc82bfa9638ae03c503ddd},
doi = {10.1111/fog.12130},
abstract = {In the Eastern Tropical Pacific (ETP), a region of high fishing activity, olive ridley (Lepidochelis olivacea) and other sea turtles are accidentally caught in fishing nets with tuna and other animals. To date, the interaction between fishing activity, ocean conditions and sea turtle incidental catch in the ETP has been described and quantified, but the factors leading to the interaction of olive ridleys and fishing activity are not well understood. This information is essential for the development of future management strategies that avoid bycatch and incidental captures of sea turtles. We used Generalized additive models (GAM) to analyze the relationship between olive ridley incidental catch per unit effort (iCPUE) in the ETP purse-seine fisheries and environmental conditions, geographic extent and fishing set type (associated with dolphins, floating objects or in free-swimming tuna schools). Our results suggest that water temperature, set type and geographic location (latitude, longitude and distance to nesting beaches) are the most important predictor variables to describe the probability of a capture event, with the highest iCPUE observed in sets made over floating objects. With the environmental predictors used, sea surface temperatures (SST) of 26-30°C and chlorophyll-a (chl-a) concentrations \<0.36 mg m-3 were associated with the highest probability of an incidental catch. Temporally, the highest probability of an incidental catch was observed in the second half of the year (June to December). Four regions were observed as high incidental catch hotspots: North and south of the equator between 0-10°N; 0-10°S and from 120 to 140°W; and along the Colombian coast and surrounding regions. © 2016 John Wiley \& Sons Ltd.},
language = {English},
number = {1},
journal = {Fisheries Oceanography},
author = {Montero, J.T.a and Martinez-Rincon, R.O.b and Heppell, S.S.c and Hall, M.d and Ewal, M.e},
year = {2016},
note = {cited By 1},
keywords = {Animalia, Cheloniidae, Lepidochelys olivacea, Pacific Ocean, Pacific Ocean (East), Pacific Ocean (Tropical), Scombridae, bycatch, catch per unit effort, catch statistics, chlorophyll a, concentration (composition), environmental factor, numerical model, purse seining, sea surface temperature, spatial variation, turtle},
pages = {1--14}
}
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To date, the interaction between fishing activity, ocean conditions and sea turtle incidental catch in the ETP has been described and quantified, but the factors leading to the interaction of olive ridleys and fishing activity are not well understood. This information is essential for the development of future management strategies that avoid bycatch and incidental captures of sea turtles. We used Generalized additive models (GAM) to analyze the relationship between olive ridley incidental catch per unit effort (iCPUE) in the ETP purse-seine fisheries and environmental conditions, geographic extent and fishing set type (associated with dolphins, floating objects or in free-swimming tuna schools). Our results suggest that water temperature, set type and geographic location (latitude, longitude and distance to nesting beaches) are the most important predictor variables to describe the probability of a capture event, with the highest iCPUE observed in sets made over floating objects. With the environmental predictors used, sea surface temperatures (SST) of 26-30°C and chlorophyll-a (chl-a) concentrations <0.36 mg m-3 were associated with the highest probability of an incidental catch. Temporally, the highest probability of an incidental catch was observed in the second half of the year (June to December). 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To date, the interaction between fishing activity, ocean conditions and sea turtle incidental catch in the ETP has been described and quantified, but the factors leading to the interaction of olive ridleys and fishing activity are not well understood. This information is essential for the development of future management strategies that avoid bycatch and incidental captures of sea turtles. We used Generalized additive models (GAM) to analyze the relationship between olive ridley incidental catch per unit effort (iCPUE) in the ETP purse-seine fisheries and environmental conditions, geographic extent and fishing set type (associated with dolphins, floating objects or in free-swimming tuna schools). Our results suggest that water temperature, set type and geographic location (latitude, longitude and distance to nesting beaches) are the most important predictor variables to describe the probability of a capture event, with the highest iCPUE observed in sets made over floating objects. 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