Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context

Shark distribution and fishing grounds used by local communities are usually overlapped, although this coincidence is not straightforwardly distinguished in a data-limited context. We aim to delimit critical areas for shark conservation using a comprehensive spatial model to determine the co-occurre...

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Autores:
Monsalve Rocha, Sabrina
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
spa
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/34229
Acceso en línea:
http://hdl.handle.net/1992/34229
Palabra clave:
Tiburones - Distribución geográfica - Investigaciones - Caribe (Región, Colombia)
Tiburones - Conservación - Investigaciones - Caribe (Región, Colombia)
Conservación de los recursos acuáticos - Investigaciones - Caribe (Región, Colombia) - Métodos estadísticos
Areas protegidas - Investigaciones - Caribe (Región, Colombia) - Estudio de casos
Análisis espacial (Estadística) - Investigaciones - Caribe (Región, Colombia)
Biología
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/4.0/
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network_name_str Séneca: repositorio Uniandes
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dc.title.es_CO.fl_str_mv Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context
title Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context
spellingShingle Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context
Tiburones - Distribución geográfica - Investigaciones - Caribe (Región, Colombia)
Tiburones - Conservación - Investigaciones - Caribe (Región, Colombia)
Conservación de los recursos acuáticos - Investigaciones - Caribe (Región, Colombia) - Métodos estadísticos
Areas protegidas - Investigaciones - Caribe (Región, Colombia) - Estudio de casos
Análisis espacial (Estadística) - Investigaciones - Caribe (Región, Colombia)
Biología
title_short Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context
title_full Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context
title_fullStr Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context
title_full_unstemmed Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context
title_sort Identifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited context
dc.creator.fl_str_mv Monsalve Rocha, Sabrina
dc.contributor.advisor.none.fl_str_mv Ramírez Téllez, John Gabriel
Caballero Gaitán, Susana Josefina
dc.contributor.author.none.fl_str_mv Monsalve Rocha, Sabrina
dc.contributor.jury.none.fl_str_mv Link Ospina, Andrés
Hammerschlag, Neil
dc.subject.keyword.es_CO.fl_str_mv Tiburones - Distribución geográfica - Investigaciones - Caribe (Región, Colombia)
Tiburones - Conservación - Investigaciones - Caribe (Región, Colombia)
Conservación de los recursos acuáticos - Investigaciones - Caribe (Región, Colombia) - Métodos estadísticos
Areas protegidas - Investigaciones - Caribe (Región, Colombia) - Estudio de casos
Análisis espacial (Estadística) - Investigaciones - Caribe (Región, Colombia)
topic Tiburones - Distribución geográfica - Investigaciones - Caribe (Región, Colombia)
Tiburones - Conservación - Investigaciones - Caribe (Región, Colombia)
Conservación de los recursos acuáticos - Investigaciones - Caribe (Región, Colombia) - Métodos estadísticos
Areas protegidas - Investigaciones - Caribe (Región, Colombia) - Estudio de casos
Análisis espacial (Estadística) - Investigaciones - Caribe (Región, Colombia)
Biología
dc.subject.themes.none.fl_str_mv Biología
description Shark distribution and fishing grounds used by local communities are usually overlapped, although this coincidence is not straightforwardly distinguished in a data-limited context. We aim to delimit critical areas for shark conservation using a comprehensive spatial model to determine the co-occurrence area of the most fished shark species considering the distribution of the fishing effort and protection effectiveness of MPA'S in the Colombian Caribbean. Predicted distribution areas for nine frequent landed species were obtained using a maximum entropy (MaxEnt) species distribution model fed with species presence and environmental open-access data, while the fishing effort was derived from interview-based maps already available. The co-occurrence areas (COAs) were derived from the nine shark species habitat suitability models by using a 70% and 85% threshold cut, for defining a general and highest probability areas of distribution, respectively. Three independent co-occurrence areas were delimited along the Colombian Caribbean Sea: Morrosquillo Gulf, Santa Marta-Guajira and San Andres and Providence Archipelago, without finding an environmental link between them. By considering the highest probability of co-occurrence, 16 areas were well differentiated. Fishing grounds and COAs were unequally overlapped (total: 45%, mean: 26,76%) while marine protected areas did not offer effective protection against fishing pressure in areas identified as critical for conservation of the shark species in the analysis. This suggests a noticeable spatial relationship between co-occurrence shark areas and fishing grounds used by local fishing communities. The use of this methodology enables identification of co-occurrence areas in a data-limited context, which can be used as starting point for defining the priority areas for shark conservation in the Colombian Caribbean which will allow stakeholders to implement future management guidelines in well-defined areas.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2020-06-10T09:00:04Z
dc.date.available.none.fl_str_mv 2020-06-10T09:00:04Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/1992/34229
dc.identifier.pdf.none.fl_str_mv u807113.pdf
dc.identifier.instname.spa.fl_str_mv instname:Universidad de los Andes
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Séneca
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identifier_str_mv u807113.pdf
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dc.format.extent.es_CO.fl_str_mv 53 hojas
dc.format.mimetype.es_CO.fl_str_mv application/pdf
dc.publisher.es_CO.fl_str_mv Uniandes
dc.publisher.program.es_CO.fl_str_mv Maestría en Ciencias Biológicas
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ciencias
dc.publisher.department.es_CO.fl_str_mv Departamento de Biología
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ramírez Téllez, John Gabriel88e2d973-8371-4f10-94ed-87e761c8acec500Caballero Gaitán, Susana Josefinavirtual::9403-1Monsalve Rocha, Sabrina8d90c684-28e6-4828-901a-d70cb724fde2500Link Ospina, AndrésHammerschlag, Neil2020-06-10T09:00:04Z2020-06-10T09:00:04Z2017http://hdl.handle.net/1992/34229u807113.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Shark distribution and fishing grounds used by local communities are usually overlapped, although this coincidence is not straightforwardly distinguished in a data-limited context. We aim to delimit critical areas for shark conservation using a comprehensive spatial model to determine the co-occurrence area of the most fished shark species considering the distribution of the fishing effort and protection effectiveness of MPA'S in the Colombian Caribbean. Predicted distribution areas for nine frequent landed species were obtained using a maximum entropy (MaxEnt) species distribution model fed with species presence and environmental open-access data, while the fishing effort was derived from interview-based maps already available. The co-occurrence areas (COAs) were derived from the nine shark species habitat suitability models by using a 70% and 85% threshold cut, for defining a general and highest probability areas of distribution, respectively. Three independent co-occurrence areas were delimited along the Colombian Caribbean Sea: Morrosquillo Gulf, Santa Marta-Guajira and San Andres and Providence Archipelago, without finding an environmental link between them. By considering the highest probability of co-occurrence, 16 areas were well differentiated. Fishing grounds and COAs were unequally overlapped (total: 45%, mean: 26,76%) while marine protected areas did not offer effective protection against fishing pressure in areas identified as critical for conservation of the shark species in the analysis. This suggests a noticeable spatial relationship between co-occurrence shark areas and fishing grounds used by local fishing communities. The use of this methodology enables identification of co-occurrence areas in a data-limited context, which can be used as starting point for defining the priority areas for shark conservation in the Colombian Caribbean which will allow stakeholders to implement future management guidelines in well-defined areas."La distribución de los tiburones y los caladeros de pesca utilizados por las comunidades usualmente se encuentran traslapadas. Sin embargo, este patrón no es reconocible de manera directa en un contexto de datos limitados. Con el objetivo de delimitar áreas criticas para la conservación de tiburones, se utilizó un modelo espacial para determinar la coocurrencia de las especies de tiburón considerando la distribución del esfuerzo pesquero y la protección de las Áreas Marinas Protegidas en el Caribe colombiano. La distribución de las nueve especies de tiburón de mayor frecuencia pesquera se obtuvo utilizando modelos de distribución de especies de máxima entropía, alimentados con la presencia de las especies y variables ambientales de origen público. El esfuerzo de pesca fue obtenido a partir de mapas construidos a partir de entrevistas con la comunidad pescadora. Las áreas de coocurrencia (COA's) se obtuvieron a partir de modelos de idoneidad de hábitat para las especies de tiburones con un corte al 70% y 85% para definir áreas de manera general y con la mayor probabilidad de distribución, respectivamente. Tres COA's independientes fueron delimitadas a lo largo del Caribe colombiano: Golfo de Morrosquillo, Santa Marta-Guajira y el Archipiélago de San Andrés y Providencia. Al considerar la mayor probabilidad de coocurrencia, se identificaron 16 áreas. Los caladeros de pesca y la COA's se encontraron traslapadas desigualmente (total: 45%, media: 26,76%) mientras que las AMP no ofrecen protección efectiva ante la presión pesquera en áreas identificadas como críticas para la conservación de tiburones. Lo anterior, sugiere una relación espacial notable entre las COA's y los caladeros de pesca utilizados por las comunidades de pescadores locales. El uso de esta metodología permite la identificación de áreas de coocurrencia dentro de un contexto de datos limitados como punto de partida para definir áreas de prioridad para la conservación de tiburones en el Caribe colombiano."--Tomado del Formato de Documento de Grado.Magíster en Ciencias BiológicasMaestría53 hojasapplication/pdfspaUniandesMaestría en Ciencias BiológicasFacultad de CienciasDepartamento de Biologíainstname:Universidad de los Andesreponame:Repositorio Institucional SénecaIdentifying priority areas and spatial fisheries impact for addressing shark conservation in a data-limited contextTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMTiburones - Distribución geográfica - Investigaciones - Caribe (Región, Colombia)Tiburones - Conservación - Investigaciones - Caribe (Región, Colombia)Conservación de los recursos acuáticos - Investigaciones - Caribe (Región, Colombia) - Métodos estadísticosAreas protegidas - Investigaciones - Caribe (Región, Colombia) - Estudio de casosAnálisis espacial (Estadística) - Investigaciones - Caribe (Región, Colombia)BiologíaPublication0000-0002-9285-3873virtual::9403-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000686603virtual::9403-11735065d-7c92-4011-b244-8e579ec9f57cvirtual::9403-11735065d-7c92-4011-b244-8e579ec9f57cvirtual::9403-1TEXTu807113.pdf.txtu807113.pdf.txtExtracted texttext/plain75665https://repositorio.uniandes.edu.co/bitstreams/a7f700f4-7eb7-410e-8dd6-fd2e5c913d97/downloadb0c55040f733a3c9c248e898862642bdMD54THUMBNAILu807113.pdf.jpgu807113.pdf.jpgIM Thumbnailimage/jpeg22714https://repositorio.uniandes.edu.co/bitstreams/78bc5ebe-59c9-4efb-831d-2bef7716cebd/download901c0e0c6f39f247b4693e8489cf4d11MD55ORIGINALu807113.pdfapplication/pdf480718https://repositorio.uniandes.edu.co/bitstreams/53e1377c-2bef-4655-b9ca-4bdba96065ce/download89433eb6f9ba74dd89987ac0ca8074d7MD511992/34229oai:repositorio.uniandes.edu.co:1992/342292024-05-15 07:35:29.8http://creativecommons.org/licenses/by-nc-sa/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co