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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...

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Autores principales: Bevilacqua, Stanislao, Ugland, Karl Inne, Plicanti, Adriana, Scuderi, Danilo, Terlizzi, Antonio
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/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.
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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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