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Habitat‐based biodiversity assessment for ecosystem accounting in the Murray–Darling Basin

Understanding how biodiversity is changing over space and time is crucial for well‐informed decisions that help retain Earth's biological heritage over the long term. Tracking changes in biodiversity through ecosystem accounting provides this important information in a systematic way and readil...

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Autores principales: Mokany, Karel, Ware, Chris, Harwood, Thomas D., Schmidt, Rebecca K., Ferrier, Simon
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/PMC9796243/
https://www.ncbi.nlm.nih.gov/pubmed/35384070
http://dx.doi.org/10.1111/cobi.13915
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author Mokany, Karel
Ware, Chris
Harwood, Thomas D.
Schmidt, Rebecca K.
Ferrier, Simon
author_facet Mokany, Karel
Ware, Chris
Harwood, Thomas D.
Schmidt, Rebecca K.
Ferrier, Simon
author_sort Mokany, Karel
collection PubMed
description Understanding how biodiversity is changing over space and time is crucial for well‐informed decisions that help retain Earth's biological heritage over the long term. Tracking changes in biodiversity through ecosystem accounting provides this important information in a systematic way and readily enables linking to other relevant environmental and economic data to provide an integrated perspective. We derived biodiversity accounts for the Murray–Darling Basin, Australia's largest catchment. We assessed biodiversity change from 2010 to 2015 for all vascular plants, all waterbirds, and 10 focal species. We applied a scalable habitat‐based assessment approach that combined expected patterns in the distribution of biodiversity from spatial biodiversity models with a time series of spatially complete data on habitat condition derived from remote sensing. Changes in biodiversity from 2010 to 2015 varied across regions and biodiversity features. For the entire Murray–Darling Basin, the expected persistence of vascular plants increased slightly from 2010 to 2015 (from 86.8% to 87.1%), mean species richness of waterbirds decreased slightly (from 12.5 to 12.3 species), whereas for the focal species the estimated area of habitat increased for 8 species and decreased for 1 species. Regions in the north of the Murray–Darling Basin generally had decreases in biodiversity from 2010 to 2015, whereas in the south biodiversity was stable or increased. Our results demonstrate the benefits of habitat‐based biodiversity assessments in providing fully scalable biodiversity accounts across different biodiversity features, consistent with the United Nations System of Environmental Economic Accounting – Ecosystem Accounting (SEEA EA) framework.
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spelling pubmed-97962432022-12-30 Habitat‐based biodiversity assessment for ecosystem accounting in the Murray–Darling Basin Mokany, Karel Ware, Chris Harwood, Thomas D. Schmidt, Rebecca K. Ferrier, Simon Conserv Biol Contributed Papers Understanding how biodiversity is changing over space and time is crucial for well‐informed decisions that help retain Earth's biological heritage over the long term. Tracking changes in biodiversity through ecosystem accounting provides this important information in a systematic way and readily enables linking to other relevant environmental and economic data to provide an integrated perspective. We derived biodiversity accounts for the Murray–Darling Basin, Australia's largest catchment. We assessed biodiversity change from 2010 to 2015 for all vascular plants, all waterbirds, and 10 focal species. We applied a scalable habitat‐based assessment approach that combined expected patterns in the distribution of biodiversity from spatial biodiversity models with a time series of spatially complete data on habitat condition derived from remote sensing. Changes in biodiversity from 2010 to 2015 varied across regions and biodiversity features. For the entire Murray–Darling Basin, the expected persistence of vascular plants increased slightly from 2010 to 2015 (from 86.8% to 87.1%), mean species richness of waterbirds decreased slightly (from 12.5 to 12.3 species), whereas for the focal species the estimated area of habitat increased for 8 species and decreased for 1 species. Regions in the north of the Murray–Darling Basin generally had decreases in biodiversity from 2010 to 2015, whereas in the south biodiversity was stable or increased. Our results demonstrate the benefits of habitat‐based biodiversity assessments in providing fully scalable biodiversity accounts across different biodiversity features, consistent with the United Nations System of Environmental Economic Accounting – Ecosystem Accounting (SEEA EA) framework. John Wiley and Sons Inc. 2022-05-27 2022-10 /pmc/articles/PMC9796243/ /pubmed/35384070 http://dx.doi.org/10.1111/cobi.13915 Text en © 2022 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology. 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 Contributed Papers
Mokany, Karel
Ware, Chris
Harwood, Thomas D.
Schmidt, Rebecca K.
Ferrier, Simon
Habitat‐based biodiversity assessment for ecosystem accounting in the Murray–Darling Basin
title Habitat‐based biodiversity assessment for ecosystem accounting in the Murray–Darling Basin
title_full Habitat‐based biodiversity assessment for ecosystem accounting in the Murray–Darling Basin
title_fullStr Habitat‐based biodiversity assessment for ecosystem accounting in the Murray–Darling Basin
title_full_unstemmed Habitat‐based biodiversity assessment for ecosystem accounting in the Murray–Darling Basin
title_short Habitat‐based biodiversity assessment for ecosystem accounting in the Murray–Darling Basin
title_sort habitat‐based biodiversity assessment for ecosystem accounting in the murray–darling basin
topic Contributed Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796243/
https://www.ncbi.nlm.nih.gov/pubmed/35384070
http://dx.doi.org/10.1111/cobi.13915
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