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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-4726438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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