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Dynamics‐based characterization and classification of biodiversity indicators
Various biodiversity indicators, such as species richness, total abundance, and species diversity indices, have been developed to capture the state of ecological communities over space and time. As biodiversity is a multifaceted concept, it is important to understand the dimension of biodiversity re...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325886/ https://www.ncbi.nlm.nih.gov/pubmed/37424938 http://dx.doi.org/10.1002/ece3.10271 |
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author | Otomo, Yuri Masuda, Reiji Osada, Yutaka Kawatsu, Kazutaka Kondoh, Michio |
author_facet | Otomo, Yuri Masuda, Reiji Osada, Yutaka Kawatsu, Kazutaka Kondoh, Michio |
author_sort | Otomo, Yuri |
collection | PubMed |
description | Various biodiversity indicators, such as species richness, total abundance, and species diversity indices, have been developed to capture the state of ecological communities over space and time. As biodiversity is a multifaceted concept, it is important to understand the dimension of biodiversity reflected by each indicator for successful conservation and management. Here we utilized the responsiveness of biodiversity indicators' dynamics to environmental changes (i.e., environmental responsiveness) as a signature of the dimension of biodiversity. We present a method for characterizing and classifying biodiversity indicators according to environmental responsiveness and apply the methodology to monitoring data for a marine fish community under intermittent anthropogenic warm water discharge. Our analysis showed that 10 biodiversity indicators can be classified into three super‐groups based on the dimension of biodiversity that is reflected. Group I (species richness and community mean of latitudinal center of distribution (cCOD)) showed the greatest robustness to temperature changes; Group II (species diversity and total abundance) showed an abrupt change in the middle of the monitoring period, presumably due to a change in temperature; Group III (species evenness) exhibited the highest sensitivity to environmental changes, including temperature. These results had several ecological implications. First, the responsiveness of species diversity and species evenness to temperature changes might be related to changes in the species abundance distribution. Second, the similar environmental responsiveness of species richness and cCOD implies that fish migration from lower latitudes is a major driver of species compositional changes. The study methodology may be useful in selecting appropriate indicators for efficient biodiversity monitoring. |
format | Online Article Text |
id | pubmed-10325886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103258862023-07-08 Dynamics‐based characterization and classification of biodiversity indicators Otomo, Yuri Masuda, Reiji Osada, Yutaka Kawatsu, Kazutaka Kondoh, Michio Ecol Evol Research Articles Various biodiversity indicators, such as species richness, total abundance, and species diversity indices, have been developed to capture the state of ecological communities over space and time. As biodiversity is a multifaceted concept, it is important to understand the dimension of biodiversity reflected by each indicator for successful conservation and management. Here we utilized the responsiveness of biodiversity indicators' dynamics to environmental changes (i.e., environmental responsiveness) as a signature of the dimension of biodiversity. We present a method for characterizing and classifying biodiversity indicators according to environmental responsiveness and apply the methodology to monitoring data for a marine fish community under intermittent anthropogenic warm water discharge. Our analysis showed that 10 biodiversity indicators can be classified into three super‐groups based on the dimension of biodiversity that is reflected. Group I (species richness and community mean of latitudinal center of distribution (cCOD)) showed the greatest robustness to temperature changes; Group II (species diversity and total abundance) showed an abrupt change in the middle of the monitoring period, presumably due to a change in temperature; Group III (species evenness) exhibited the highest sensitivity to environmental changes, including temperature. These results had several ecological implications. First, the responsiveness of species diversity and species evenness to temperature changes might be related to changes in the species abundance distribution. Second, the similar environmental responsiveness of species richness and cCOD implies that fish migration from lower latitudes is a major driver of species compositional changes. The study methodology may be useful in selecting appropriate indicators for efficient biodiversity monitoring. John Wiley and Sons Inc. 2023-07-06 /pmc/articles/PMC10325886/ /pubmed/37424938 http://dx.doi.org/10.1002/ece3.10271 Text en © 2023 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 Otomo, Yuri Masuda, Reiji Osada, Yutaka Kawatsu, Kazutaka Kondoh, Michio Dynamics‐based characterization and classification of biodiversity indicators |
title | Dynamics‐based characterization and classification of biodiversity indicators |
title_full | Dynamics‐based characterization and classification of biodiversity indicators |
title_fullStr | Dynamics‐based characterization and classification of biodiversity indicators |
title_full_unstemmed | Dynamics‐based characterization and classification of biodiversity indicators |
title_short | Dynamics‐based characterization and classification of biodiversity indicators |
title_sort | dynamics‐based characterization and classification of biodiversity indicators |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325886/ https://www.ncbi.nlm.nih.gov/pubmed/37424938 http://dx.doi.org/10.1002/ece3.10271 |
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