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Application of fundamental equations to species−area theory
BACKGROUND: Species−area relationship (SAR), endemics-area relationship (EAR) and overlap-area relationship (OAR) are three important concepts in biodiversity study. The application of fundamental equations linking the SAR, EAR and OAR, can enrich the axiomatic framework of the species−area theory a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054576/ https://www.ncbi.nlm.nih.gov/pubmed/27717341 http://dx.doi.org/10.1186/s12898-016-0097-5 |
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author | Pan, Xubin |
author_facet | Pan, Xubin |
author_sort | Pan, Xubin |
collection | PubMed |
description | BACKGROUND: Species−area relationship (SAR), endemics-area relationship (EAR) and overlap-area relationship (OAR) are three important concepts in biodiversity study. The application of fundamental equations linking the SAR, EAR and OAR, can enrich the axiomatic framework of the species−area theory and deepen our understanding of the mechanisms of community assembly. RESULTS: Two fundamental equations are derived and extended to power law model and random replacement model of species−area distribution. Several important parameters, including the overlap index and extinction rate, are defined and expressed to enrich the species−area theory. For power law model, both EAR and OAR have three parameters, with one more parameter of the total area than SAR does. The EAR equation is a monotonically increasing function for parameter c and z, and a monotonically decreasing function for parameter A. The extinction rate, with two parameters, is a monotonically increasing function for parameter z, and a monotonically decreasing function for parameter A. The overlap index is a monotonically increasing function for parameter A, and a monotonically decreasing function for parameter z, independent of parameter c. CONCLUSIONS: The general formats of SAR, EAR, OAR, overlap index, overlap rate, sampling rate and extinction rate, are derived and extended to power law model and random replacement model as the axiomatic framework of species−area theory. In addition, if the total area is underestimated, the extinction rate will be overestimated. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12898-016-0097-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5054576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50545762016-10-19 Application of fundamental equations to species−area theory Pan, Xubin BMC Ecol Research Article BACKGROUND: Species−area relationship (SAR), endemics-area relationship (EAR) and overlap-area relationship (OAR) are three important concepts in biodiversity study. The application of fundamental equations linking the SAR, EAR and OAR, can enrich the axiomatic framework of the species−area theory and deepen our understanding of the mechanisms of community assembly. RESULTS: Two fundamental equations are derived and extended to power law model and random replacement model of species−area distribution. Several important parameters, including the overlap index and extinction rate, are defined and expressed to enrich the species−area theory. For power law model, both EAR and OAR have three parameters, with one more parameter of the total area than SAR does. The EAR equation is a monotonically increasing function for parameter c and z, and a monotonically decreasing function for parameter A. The extinction rate, with two parameters, is a monotonically increasing function for parameter z, and a monotonically decreasing function for parameter A. The overlap index is a monotonically increasing function for parameter A, and a monotonically decreasing function for parameter z, independent of parameter c. CONCLUSIONS: The general formats of SAR, EAR, OAR, overlap index, overlap rate, sampling rate and extinction rate, are derived and extended to power law model and random replacement model as the axiomatic framework of species−area theory. In addition, if the total area is underestimated, the extinction rate will be overestimated. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12898-016-0097-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-07 /pmc/articles/PMC5054576/ /pubmed/27717341 http://dx.doi.org/10.1186/s12898-016-0097-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Pan, Xubin Application of fundamental equations to species−area theory |
title | Application of fundamental equations to species−area theory |
title_full | Application of fundamental equations to species−area theory |
title_fullStr | Application of fundamental equations to species−area theory |
title_full_unstemmed | Application of fundamental equations to species−area theory |
title_short | Application of fundamental equations to species−area theory |
title_sort | application of fundamental equations to species−area theory |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054576/ https://www.ncbi.nlm.nih.gov/pubmed/27717341 http://dx.doi.org/10.1186/s12898-016-0097-5 |
work_keys_str_mv | AT panxubin applicationoffundamentalequationstospeciesareatheory |