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A general framework for predicting delayed responses of ecological communities to habitat loss
Although biodiversity crisis at different spatial scales has been well recognised, the phenomena of extinction debt and immigration credit at a crossing-scale context are, at best, unclear. Based on two community patterns, regional species abundance distribution (SAD) and spatial abundance distribut...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430564/ https://www.ncbi.nlm.nih.gov/pubmed/28428561 http://dx.doi.org/10.1038/s41598-017-01070-2 |
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author | Chen, Youhua Shen, Tsung-Jen |
author_facet | Chen, Youhua Shen, Tsung-Jen |
author_sort | Chen, Youhua |
collection | PubMed |
description | Although biodiversity crisis at different spatial scales has been well recognised, the phenomena of extinction debt and immigration credit at a crossing-scale context are, at best, unclear. Based on two community patterns, regional species abundance distribution (SAD) and spatial abundance distribution (SAAD), Kitzes and Harte (2015) presented a macroecological framework for predicting post-disturbance delayed extinction patterns in the entire ecological community. In this study, we further expand this basic framework to predict diverse time-lagged effects of habitat destruction on local communities. Specifically, our generalisation of KH’s model could address the questions that could not be answered previously: (1) How many species are subjected to delayed extinction in a local community when habitat is destructed in other areas? (2) How do rare or endemic species contribute to extinction debt or immigration credit of the local community? (3) How will species differ between two local areas? From the demonstrations using two SAD models (single-parameter lognormal and logseries), the predicted patterns of the debt, credit, and change in the fraction of unique species can vary, but with consistencies and depending on several factors. The general framework deepens the understanding of the theoretical effects of habitat loss on community dynamic patterns in local samples. |
format | Online Article Text |
id | pubmed-5430564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54305642017-05-15 A general framework for predicting delayed responses of ecological communities to habitat loss Chen, Youhua Shen, Tsung-Jen Sci Rep Article Although biodiversity crisis at different spatial scales has been well recognised, the phenomena of extinction debt and immigration credit at a crossing-scale context are, at best, unclear. Based on two community patterns, regional species abundance distribution (SAD) and spatial abundance distribution (SAAD), Kitzes and Harte (2015) presented a macroecological framework for predicting post-disturbance delayed extinction patterns in the entire ecological community. In this study, we further expand this basic framework to predict diverse time-lagged effects of habitat destruction on local communities. Specifically, our generalisation of KH’s model could address the questions that could not be answered previously: (1) How many species are subjected to delayed extinction in a local community when habitat is destructed in other areas? (2) How do rare or endemic species contribute to extinction debt or immigration credit of the local community? (3) How will species differ between two local areas? From the demonstrations using two SAD models (single-parameter lognormal and logseries), the predicted patterns of the debt, credit, and change in the fraction of unique species can vary, but with consistencies and depending on several factors. The general framework deepens the understanding of the theoretical effects of habitat loss on community dynamic patterns in local samples. Nature Publishing Group UK 2017-04-20 /pmc/articles/PMC5430564/ /pubmed/28428561 http://dx.doi.org/10.1038/s41598-017-01070-2 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Youhua Shen, Tsung-Jen A general framework for predicting delayed responses of ecological communities to habitat loss |
title | A general framework for predicting delayed responses of ecological communities to habitat loss |
title_full | A general framework for predicting delayed responses of ecological communities to habitat loss |
title_fullStr | A general framework for predicting delayed responses of ecological communities to habitat loss |
title_full_unstemmed | A general framework for predicting delayed responses of ecological communities to habitat loss |
title_short | A general framework for predicting delayed responses of ecological communities to habitat loss |
title_sort | general framework for predicting delayed responses of ecological communities to habitat loss |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430564/ https://www.ncbi.nlm.nih.gov/pubmed/28428561 http://dx.doi.org/10.1038/s41598-017-01070-2 |
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