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An approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness
Most of accumulation curves tend to underestimate species richness, as they do not consider spatial heterogeneity in species distribution, or are structured to provide lower bound estimates and limited extrapolations. The total‐species (T–S) curve allows extrapolations over large areas while taking...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5756853/ https://www.ncbi.nlm.nih.gov/pubmed/29321881 http://dx.doi.org/10.1002/ece3.3570 |
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author | Bevilacqua, Stanislao Ugland, Karl Inne Plicanti, Adriana Scuderi, Danilo Terlizzi, Antonio |
author_facet | Bevilacqua, Stanislao Ugland, Karl Inne Plicanti, Adriana Scuderi, Danilo Terlizzi, Antonio |
author_sort | Bevilacqua, Stanislao |
collection | PubMed |
description | Most of accumulation curves tend to underestimate species richness, as they do not consider spatial heterogeneity in species distribution, or are structured to provide lower bound estimates and limited extrapolations. The total‐species (T–S) curve allows extrapolations over large areas while taking into account spatial heterogeneity, making this estimator more prone to attempt upper bound estimates of regional species richness. However, the T–S curve may overestimate species richness due to (1) the mismatch among the spatial units used in the accumulation model and the actual units of variation in β‐diversity across the region, (2) small‐scale patchiness, and/or (3) patterns of rarity of species. We propose a new framework allowing the T–S curve to limit overestimation and give an application to a large dataset of marine mollusks spanning over 11 km(2) of subtidal bottom (W Mediterranean). As accumulation patterns are closely related across the taxonomic hierarchy up to family level, improvements of the T–S curve leading to more realistic estimates of family richness, that is, not exceeding the maximum number of known families potentially present in the area, can be considered as conducive to more realistic estimates of species richness. Results on real data showed that improvements of the T–S curve to accounts for true variations in β‐diversity within the sampled areas, small‐scale patchiness, and rarity of families led to the most plausible richness when all aspects were considered in the model. Data on simulated communities indicated that in the presence of high heterogeneity, and when the proportion of rare species was not excessive (>2/3), the procedure led to almost unbiased estimates. Our findings highlighted the central role of variations in β‐diversity within the region when attempting to estimate species richness, providing a general framework exploiting the properties of the T–S curve and known family richness to estimate plausible upper bounds in γ‐diversity. |
format | Online Article Text |
id | pubmed-5756853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57568532018-01-10 An approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness Bevilacqua, Stanislao Ugland, Karl Inne Plicanti, Adriana Scuderi, Danilo Terlizzi, Antonio Ecol Evol Original Research Most of accumulation curves tend to underestimate species richness, as they do not consider spatial heterogeneity in species distribution, or are structured to provide lower bound estimates and limited extrapolations. The total‐species (T–S) curve allows extrapolations over large areas while taking into account spatial heterogeneity, making this estimator more prone to attempt upper bound estimates of regional species richness. However, the T–S curve may overestimate species richness due to (1) the mismatch among the spatial units used in the accumulation model and the actual units of variation in β‐diversity across the region, (2) small‐scale patchiness, and/or (3) patterns of rarity of species. We propose a new framework allowing the T–S curve to limit overestimation and give an application to a large dataset of marine mollusks spanning over 11 km(2) of subtidal bottom (W Mediterranean). As accumulation patterns are closely related across the taxonomic hierarchy up to family level, improvements of the T–S curve leading to more realistic estimates of family richness, that is, not exceeding the maximum number of known families potentially present in the area, can be considered as conducive to more realistic estimates of species richness. Results on real data showed that improvements of the T–S curve to accounts for true variations in β‐diversity within the sampled areas, small‐scale patchiness, and rarity of families led to the most plausible richness when all aspects were considered in the model. Data on simulated communities indicated that in the presence of high heterogeneity, and when the proportion of rare species was not excessive (>2/3), the procedure led to almost unbiased estimates. Our findings highlighted the central role of variations in β‐diversity within the region when attempting to estimate species richness, providing a general framework exploiting the properties of the T–S curve and known family richness to estimate plausible upper bounds in γ‐diversity. John Wiley and Sons Inc. 2017-11-29 /pmc/articles/PMC5756853/ /pubmed/29321881 http://dx.doi.org/10.1002/ece3.3570 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 Bevilacqua, Stanislao Ugland, Karl Inne Plicanti, Adriana Scuderi, Danilo Terlizzi, Antonio An approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness |
title | An approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness |
title_full | An approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness |
title_fullStr | An approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness |
title_full_unstemmed | An approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness |
title_short | An approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness |
title_sort | approach based on the total‐species accumulation curve and higher taxon richness to estimate realistic upper limits in regional species richness |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5756853/ https://www.ncbi.nlm.nih.gov/pubmed/29321881 http://dx.doi.org/10.1002/ece3.3570 |
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