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A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids

The massively accelerated biodiversity loss rate in the Anthropocene calls for an efficient and effective way to identify the spatial and temporal dynamics of endangered species. To this end, we developed a useful identification framework based on a case study of locally endangered Sousa chinensis b...

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Autores principales: Wang, Jingzhen, Yang, Yingting, Yang, Feng, Li, Yuelin, Li, Lianjie, Lin, Derun, He, Tangtian, Liang, Bo, Zhang, Tao, Lin, Yao, Li, Ping, Liu, Wenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726438/
https://www.ncbi.nlm.nih.gov/pubmed/26804347
http://dx.doi.org/10.1038/srep19883
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author Wang, Jingzhen
Yang, Yingting
Yang, Feng
Li, Yuelin
Li, Lianjie
Lin, Derun
He, Tangtian
Liang, Bo
Zhang, Tao
Lin, Yao
Li, Ping
Liu, Wenhua
author_facet Wang, Jingzhen
Yang, Yingting
Yang, Feng
Li, Yuelin
Li, Lianjie
Lin, Derun
He, Tangtian
Liang, Bo
Zhang, Tao
Lin, Yao
Li, Ping
Liu, Wenhua
author_sort Wang, Jingzhen
collection PubMed
description The massively accelerated biodiversity loss rate in the Anthropocene calls for an efficient and effective way to identify the spatial and temporal dynamics of endangered species. To this end, we developed a useful identification framework based on a case study of locally endangered Sousa chinensis by combining both LEK (local ecological knowledge) evaluation and regional boat-based survey methods. Our study investigated the basic ecological information of Sousa chinensis in the estuaries of eastern Guangdong that had previously been neglected, which could guide the future study and conservation. Based on the statistical testing of reported spatial and temporal dolphins sighting data from fishermen and the ecological monitoring analyses, including sighting rate, site fidelity and residence time estimations, some of the current Sousa chinensis units are likely to be geographically isolated and critically endangered, which calls for much greater conservation efforts. Given the accelerated population extinction rate and increasing budgetary constraints, our survey pattern can be applied in a timely and economically acceptable manner to the spatial and temporal assessment of other threatened coastal delphinids, particularly when population distributions are on a large scale and traditional sampling methods are difficult to implement.
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spelling pubmed-47264382016-01-27 A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids Wang, Jingzhen Yang, Yingting Yang, Feng Li, Yuelin Li, Lianjie Lin, Derun He, Tangtian Liang, Bo Zhang, Tao Lin, Yao Li, Ping Liu, Wenhua Sci Rep Article The massively accelerated biodiversity loss rate in the Anthropocene calls for an efficient and effective way to identify the spatial and temporal dynamics of endangered species. To this end, we developed a useful identification framework based on a case study of locally endangered Sousa chinensis by combining both LEK (local ecological knowledge) evaluation and regional boat-based survey methods. Our study investigated the basic ecological information of Sousa chinensis in the estuaries of eastern Guangdong that had previously been neglected, which could guide the future study and conservation. Based on the statistical testing of reported spatial and temporal dolphins sighting data from fishermen and the ecological monitoring analyses, including sighting rate, site fidelity and residence time estimations, some of the current Sousa chinensis units are likely to be geographically isolated and critically endangered, which calls for much greater conservation efforts. Given the accelerated population extinction rate and increasing budgetary constraints, our survey pattern can be applied in a timely and economically acceptable manner to the spatial and temporal assessment of other threatened coastal delphinids, particularly when population distributions are on a large scale and traditional sampling methods are difficult to implement. Nature Publishing Group 2016-01-25 /pmc/articles/PMC4726438/ /pubmed/26804347 http://dx.doi.org/10.1038/srep19883 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Wang, Jingzhen
Yang, Yingting
Yang, Feng
Li, Yuelin
Li, Lianjie
Lin, Derun
He, Tangtian
Liang, Bo
Zhang, Tao
Lin, Yao
Li, Ping
Liu, Wenhua
A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids
title A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids
title_full A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids
title_fullStr A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids
title_full_unstemmed A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids
title_short A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids
title_sort framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726438/
https://www.ncbi.nlm.nih.gov/pubmed/26804347
http://dx.doi.org/10.1038/srep19883
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