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How to deal with ground truthing affected by human‐induced habitat change?: Identifying high‐quality habitats for the Critically Endangered Red Siskin

Species distribution models (SDM) can be valuable for identifying key habitats for conservation management of threatened taxa, but anthropogenic habitat change can undermine SDM accuracy. We used data for the Red Siskin (Spinus cucullatus), a critically endangered bird and ground truthing to examine...

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Autores principales: Sánchez‐Mercado, Ada, Rodríguez‐Clark, Kathryn M., Miranda, Jhonathan, Ferrer‐Paris, José Rafael, Coyle, Brian, Toro, Samuel, Cardozo‐Urdaneta, Arlene, Braun, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773307/
https://www.ncbi.nlm.nih.gov/pubmed/29375758
http://dx.doi.org/10.1002/ece3.3628
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author Sánchez‐Mercado, Ada
Rodríguez‐Clark, Kathryn M.
Miranda, Jhonathan
Ferrer‐Paris, José Rafael
Coyle, Brian
Toro, Samuel
Cardozo‐Urdaneta, Arlene
Braun, Michael J.
author_facet Sánchez‐Mercado, Ada
Rodríguez‐Clark, Kathryn M.
Miranda, Jhonathan
Ferrer‐Paris, José Rafael
Coyle, Brian
Toro, Samuel
Cardozo‐Urdaneta, Arlene
Braun, Michael J.
author_sort Sánchez‐Mercado, Ada
collection PubMed
description Species distribution models (SDM) can be valuable for identifying key habitats for conservation management of threatened taxa, but anthropogenic habitat change can undermine SDM accuracy. We used data for the Red Siskin (Spinus cucullatus), a critically endangered bird and ground truthing to examine anthropogenic habitat change as a source of SDM inaccuracy. We aimed to estimate: (1) the Red Siskin's historic distribution in Venezuela; (2) the portion of this historic distribution lost to vegetation degradation; and (3) the location of key habitats or areas with both, a high probability of historic occurrence and a low probability of vegetation degradation. We ground‐truthed 191 locations and used expert opinion as well as landscape characteristics to classify species' habitat suitability as excellent, good, acceptable, or poor. We fit a Random Forest model (RF) and Enhanced Vegetation Index (EVI) time series to evaluate the accuracy and precision of the expert categorization of habitat suitability. We estimated the probability of historic occurrence by fitting a MaxLike model using 88 presence records (1960–2013) and data on forest cover and aridity index. Of the entire study area, 23% (20,696 km(2)) had a historic probability of Red Siskin occurrence over 0.743. Furthermore, 85% of ground‐truthed locations had substantial reductions in mean EVI, resulting in key habitats totaling just 976 km(2), in small blocks in the western and central regions. Decline in Area of Occupancy over 15 years was between 40% and 95%, corresponding to an extinction risk category between Vulnerable and Critically Endangered. Relating key habitats with other landscape features revealed significant risks and opportunities for proposed conservation interventions, including the fact that ongoing vegetation degradation could limit the establishment of reintroduced populations in eastern areas, while the conservation of remaining key habitats on private lands could be improved with biodiversity‐friendly agri‐ and silviculture programs.
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spelling pubmed-57733072018-01-26 How to deal with ground truthing affected by human‐induced habitat change?: Identifying high‐quality habitats for the Critically Endangered Red Siskin Sánchez‐Mercado, Ada Rodríguez‐Clark, Kathryn M. Miranda, Jhonathan Ferrer‐Paris, José Rafael Coyle, Brian Toro, Samuel Cardozo‐Urdaneta, Arlene Braun, Michael J. Ecol Evol Original Research Species distribution models (SDM) can be valuable for identifying key habitats for conservation management of threatened taxa, but anthropogenic habitat change can undermine SDM accuracy. We used data for the Red Siskin (Spinus cucullatus), a critically endangered bird and ground truthing to examine anthropogenic habitat change as a source of SDM inaccuracy. We aimed to estimate: (1) the Red Siskin's historic distribution in Venezuela; (2) the portion of this historic distribution lost to vegetation degradation; and (3) the location of key habitats or areas with both, a high probability of historic occurrence and a low probability of vegetation degradation. We ground‐truthed 191 locations and used expert opinion as well as landscape characteristics to classify species' habitat suitability as excellent, good, acceptable, or poor. We fit a Random Forest model (RF) and Enhanced Vegetation Index (EVI) time series to evaluate the accuracy and precision of the expert categorization of habitat suitability. We estimated the probability of historic occurrence by fitting a MaxLike model using 88 presence records (1960–2013) and data on forest cover and aridity index. Of the entire study area, 23% (20,696 km(2)) had a historic probability of Red Siskin occurrence over 0.743. Furthermore, 85% of ground‐truthed locations had substantial reductions in mean EVI, resulting in key habitats totaling just 976 km(2), in small blocks in the western and central regions. Decline in Area of Occupancy over 15 years was between 40% and 95%, corresponding to an extinction risk category between Vulnerable and Critically Endangered. Relating key habitats with other landscape features revealed significant risks and opportunities for proposed conservation interventions, including the fact that ongoing vegetation degradation could limit the establishment of reintroduced populations in eastern areas, while the conservation of remaining key habitats on private lands could be improved with biodiversity‐friendly agri‐ and silviculture programs. John Wiley and Sons Inc. 2017-12-10 /pmc/articles/PMC5773307/ /pubmed/29375758 http://dx.doi.org/10.1002/ece3.3628 Text en © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Sánchez‐Mercado, Ada
Rodríguez‐Clark, Kathryn M.
Miranda, Jhonathan
Ferrer‐Paris, José Rafael
Coyle, Brian
Toro, Samuel
Cardozo‐Urdaneta, Arlene
Braun, Michael J.
How to deal with ground truthing affected by human‐induced habitat change?: Identifying high‐quality habitats for the Critically Endangered Red Siskin
title How to deal with ground truthing affected by human‐induced habitat change?: Identifying high‐quality habitats for the Critically Endangered Red Siskin
title_full How to deal with ground truthing affected by human‐induced habitat change?: Identifying high‐quality habitats for the Critically Endangered Red Siskin
title_fullStr How to deal with ground truthing affected by human‐induced habitat change?: Identifying high‐quality habitats for the Critically Endangered Red Siskin
title_full_unstemmed How to deal with ground truthing affected by human‐induced habitat change?: Identifying high‐quality habitats for the Critically Endangered Red Siskin
title_short How to deal with ground truthing affected by human‐induced habitat change?: Identifying high‐quality habitats for the Critically Endangered Red Siskin
title_sort how to deal with ground truthing affected by human‐induced habitat change?: identifying high‐quality habitats for the critically endangered red siskin
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773307/
https://www.ncbi.nlm.nih.gov/pubmed/29375758
http://dx.doi.org/10.1002/ece3.3628
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