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Inferring Regional-Scale Species Diversity from Small-Plot Censuses
Estimation of the number of species at spatial scales too large to census directly is a longstanding ecological challenge. A recent comprehensive census of tropical arthropods and trees in Panama provides a unique opportunity to apply an inference procedure for up-scaling species richness and thereb...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4338294/ https://www.ncbi.nlm.nih.gov/pubmed/25706536 http://dx.doi.org/10.1371/journal.pone.0117527 |
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author | Harte, John Kitzes, Justin |
author_facet | Harte, John Kitzes, Justin |
author_sort | Harte, John |
collection | PubMed |
description | Estimation of the number of species at spatial scales too large to census directly is a longstanding ecological challenge. A recent comprehensive census of tropical arthropods and trees in Panama provides a unique opportunity to apply an inference procedure for up-scaling species richness and thereby make progress toward that goal. Confidence in the underlying theory is first established by showing that the method accurately predicts the species abundance distribution for trees and arthropods, and in particular accurately captures the rare tail of the observed distributions. The rare tail is emphasized because the shape of the species-area relationship is especially influenced by the numbers of rare species. The inference procedure is then applied to estimate the total number of arthropod and tree species at spatial scales ranging from a 6000 ha forest reserve to all of Panama, with input data only from censuses in 0.04 ha plots. The analysis suggests that at the scale of the reserve there are roughly twice as many arthropod species as previously estimated. For the entirety of Panama, inferred tree species richness agrees with an accepted empirical estimate, while inferred arthropod species richness is significantly below a previous published estimate that has been criticized as too high. An extension of the procedure to estimate species richness at continental scale is proposed. |
format | Online Article Text |
id | pubmed-4338294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43382942015-03-04 Inferring Regional-Scale Species Diversity from Small-Plot Censuses Harte, John Kitzes, Justin PLoS One Research Article Estimation of the number of species at spatial scales too large to census directly is a longstanding ecological challenge. A recent comprehensive census of tropical arthropods and trees in Panama provides a unique opportunity to apply an inference procedure for up-scaling species richness and thereby make progress toward that goal. Confidence in the underlying theory is first established by showing that the method accurately predicts the species abundance distribution for trees and arthropods, and in particular accurately captures the rare tail of the observed distributions. The rare tail is emphasized because the shape of the species-area relationship is especially influenced by the numbers of rare species. The inference procedure is then applied to estimate the total number of arthropod and tree species at spatial scales ranging from a 6000 ha forest reserve to all of Panama, with input data only from censuses in 0.04 ha plots. The analysis suggests that at the scale of the reserve there are roughly twice as many arthropod species as previously estimated. For the entirety of Panama, inferred tree species richness agrees with an accepted empirical estimate, while inferred arthropod species richness is significantly below a previous published estimate that has been criticized as too high. An extension of the procedure to estimate species richness at continental scale is proposed. Public Library of Science 2015-02-23 /pmc/articles/PMC4338294/ /pubmed/25706536 http://dx.doi.org/10.1371/journal.pone.0117527 Text en © 2015 Harte, Kitzes http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Harte, John Kitzes, Justin Inferring Regional-Scale Species Diversity from Small-Plot Censuses |
title | Inferring Regional-Scale Species Diversity from Small-Plot Censuses |
title_full | Inferring Regional-Scale Species Diversity from Small-Plot Censuses |
title_fullStr | Inferring Regional-Scale Species Diversity from Small-Plot Censuses |
title_full_unstemmed | Inferring Regional-Scale Species Diversity from Small-Plot Censuses |
title_short | Inferring Regional-Scale Species Diversity from Small-Plot Censuses |
title_sort | inferring regional-scale species diversity from small-plot censuses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4338294/ https://www.ncbi.nlm.nih.gov/pubmed/25706536 http://dx.doi.org/10.1371/journal.pone.0117527 |
work_keys_str_mv | AT hartejohn inferringregionalscalespeciesdiversityfromsmallplotcensuses AT kitzesjustin inferringregionalscalespeciesdiversityfromsmallplotcensuses |