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How does variation in total and relative abundance contribute to gradients of species diversity?

Patterns of biodiversity provide insights into the processes that shape biological communities around the world. Variation in species diversity along biogeographical or ecological gradients, such as latitude or precipitation, can be attributed to variation in different components of biodiversity: ch...

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Detalles Bibliográficos
Autores principales: Engel, Thore, Blowes, Shane A., McGlinn, Daniel J., Gotelli, Nicholas J., McGill, Brian J., Chase, Jonathan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382643/
https://www.ncbi.nlm.nih.gov/pubmed/35991281
http://dx.doi.org/10.1002/ece3.9196
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author Engel, Thore
Blowes, Shane A.
McGlinn, Daniel J.
Gotelli, Nicholas J.
McGill, Brian J.
Chase, Jonathan M.
author_facet Engel, Thore
Blowes, Shane A.
McGlinn, Daniel J.
Gotelli, Nicholas J.
McGill, Brian J.
Chase, Jonathan M.
author_sort Engel, Thore
collection PubMed
description Patterns of biodiversity provide insights into the processes that shape biological communities around the world. Variation in species diversity along biogeographical or ecological gradients, such as latitude or precipitation, can be attributed to variation in different components of biodiversity: changes in the total abundance (i.e., more‐individual effects) and changes in the regional species abundance distribution (SAD). Rarefaction curves can provide a tool to partition these sources of variation on diversity, but first must be converted to a common unit of measurement. Here, we partition species diversity gradients into components of the SAD and abundance using the effective number of species (ENS) transformation of the individual‐based rarefaction curve. Because the ENS curve is unconstrained by sample size, it can act as a standardized unit of measurement when comparing effect sizes among different components of biodiversity change. We illustrate the utility of the approach using two data sets spanning latitudinal diversity gradients in trees and marine reef fish and find contrasting results. Whereas the diversity gradient of fish was mostly associated with variation in abundance (86%), the tree diversity gradient was mostly associated with variation in the SAD (59%). These results suggest that local fish diversity may be limited by energy through the more‐individuals effect, while species pool effects are the larger determinant of tree diversity. We suggest that the framework of the ENS‐curve has the potential to quantify the underlying factors influencing most aspects of diversity change.
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spelling pubmed-93826432022-08-19 How does variation in total and relative abundance contribute to gradients of species diversity? Engel, Thore Blowes, Shane A. McGlinn, Daniel J. Gotelli, Nicholas J. McGill, Brian J. Chase, Jonathan M. Ecol Evol Research Articles Patterns of biodiversity provide insights into the processes that shape biological communities around the world. Variation in species diversity along biogeographical or ecological gradients, such as latitude or precipitation, can be attributed to variation in different components of biodiversity: changes in the total abundance (i.e., more‐individual effects) and changes in the regional species abundance distribution (SAD). Rarefaction curves can provide a tool to partition these sources of variation on diversity, but first must be converted to a common unit of measurement. Here, we partition species diversity gradients into components of the SAD and abundance using the effective number of species (ENS) transformation of the individual‐based rarefaction curve. Because the ENS curve is unconstrained by sample size, it can act as a standardized unit of measurement when comparing effect sizes among different components of biodiversity change. We illustrate the utility of the approach using two data sets spanning latitudinal diversity gradients in trees and marine reef fish and find contrasting results. Whereas the diversity gradient of fish was mostly associated with variation in abundance (86%), the tree diversity gradient was mostly associated with variation in the SAD (59%). These results suggest that local fish diversity may be limited by energy through the more‐individuals effect, while species pool effects are the larger determinant of tree diversity. We suggest that the framework of the ENS‐curve has the potential to quantify the underlying factors influencing most aspects of diversity change. John Wiley and Sons Inc. 2022-08-17 /pmc/articles/PMC9382643/ /pubmed/35991281 http://dx.doi.org/10.1002/ece3.9196 Text en © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Engel, Thore
Blowes, Shane A.
McGlinn, Daniel J.
Gotelli, Nicholas J.
McGill, Brian J.
Chase, Jonathan M.
How does variation in total and relative abundance contribute to gradients of species diversity?
title How does variation in total and relative abundance contribute to gradients of species diversity?
title_full How does variation in total and relative abundance contribute to gradients of species diversity?
title_fullStr How does variation in total and relative abundance contribute to gradients of species diversity?
title_full_unstemmed How does variation in total and relative abundance contribute to gradients of species diversity?
title_short How does variation in total and relative abundance contribute to gradients of species diversity?
title_sort how does variation in total and relative abundance contribute to gradients of species diversity?
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382643/
https://www.ncbi.nlm.nih.gov/pubmed/35991281
http://dx.doi.org/10.1002/ece3.9196
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