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Detecting and attributing the causes of biodiversity change: needs, gaps and solutions
This issue addresses the multifaceted problems of understanding biodiversity change to meet emerging international development and conservation goals, national economic accounting and diverse community needs. Recent international agreements highlight the need to establish monitoring and assessment p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225850/ https://www.ncbi.nlm.nih.gov/pubmed/37246389 http://dx.doi.org/10.1098/rstb.2022.0181 |
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author | Tekwa, Eden Gonzalez, Andrew Zurell, Damaris O'Connor, Mary |
author_facet | Tekwa, Eden Gonzalez, Andrew Zurell, Damaris O'Connor, Mary |
author_sort | Tekwa, Eden |
collection | PubMed |
description | This issue addresses the multifaceted problems of understanding biodiversity change to meet emerging international development and conservation goals, national economic accounting and diverse community needs. Recent international agreements highlight the need to establish monitoring and assessment programmes at national and regional levels. We identify an opportunity for the research community to develop the methods for robust detection and attribution of biodiversity change that will contribute to national assessments and guide conservation action. The 16 contributions of this issue address six major aspects of biodiversity assessment: connecting policy to science, establishing observation, improving statistical estimation, detecting change, attributing causes and projecting the future. These studies are led by experts in Indigenous studies, economics, ecology, conservation, statistics, and computer science, with representations from Asia, Africa, South America, North America and Europe. The results place biodiversity science in the context of policy needs and provide an updated roadmap for how to observe biodiversity change in a way that supports conservation action via robust detection and attribution science. This article is part of the theme issue ‘Detecting and attributing the causes of biodiversity change: needs, gaps and solutions’ |
format | Online Article Text |
id | pubmed-10225850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-102258502023-05-30 Detecting and attributing the causes of biodiversity change: needs, gaps and solutions Tekwa, Eden Gonzalez, Andrew Zurell, Damaris O'Connor, Mary Philos Trans R Soc Lond B Biol Sci Introduction This issue addresses the multifaceted problems of understanding biodiversity change to meet emerging international development and conservation goals, national economic accounting and diverse community needs. Recent international agreements highlight the need to establish monitoring and assessment programmes at national and regional levels. We identify an opportunity for the research community to develop the methods for robust detection and attribution of biodiversity change that will contribute to national assessments and guide conservation action. The 16 contributions of this issue address six major aspects of biodiversity assessment: connecting policy to science, establishing observation, improving statistical estimation, detecting change, attributing causes and projecting the future. These studies are led by experts in Indigenous studies, economics, ecology, conservation, statistics, and computer science, with representations from Asia, Africa, South America, North America and Europe. The results place biodiversity science in the context of policy needs and provide an updated roadmap for how to observe biodiversity change in a way that supports conservation action via robust detection and attribution science. This article is part of the theme issue ‘Detecting and attributing the causes of biodiversity change: needs, gaps and solutions’ The Royal Society 2023-07-17 2023-05-29 /pmc/articles/PMC10225850/ /pubmed/37246389 http://dx.doi.org/10.1098/rstb.2022.0181 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Introduction Tekwa, Eden Gonzalez, Andrew Zurell, Damaris O'Connor, Mary Detecting and attributing the causes of biodiversity change: needs, gaps and solutions |
title | Detecting and attributing the causes of biodiversity change: needs, gaps and solutions |
title_full | Detecting and attributing the causes of biodiversity change: needs, gaps and solutions |
title_fullStr | Detecting and attributing the causes of biodiversity change: needs, gaps and solutions |
title_full_unstemmed | Detecting and attributing the causes of biodiversity change: needs, gaps and solutions |
title_short | Detecting and attributing the causes of biodiversity change: needs, gaps and solutions |
title_sort | detecting and attributing the causes of biodiversity change: needs, gaps and solutions |
topic | Introduction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225850/ https://www.ncbi.nlm.nih.gov/pubmed/37246389 http://dx.doi.org/10.1098/rstb.2022.0181 |
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