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DOI10.1098/rstb.2022.0182
A framework for the detection and attribution of biodiversity change
Gonzalez, Andrew; Chase, Jonathan M.; O'Connor, Mary I.
发表日期2023
ISSN0962-8436
EISSN1471-2970
卷号378期号:1881
英文摘要The causes of biodiversity change are of great scientific interest and central to policy efforts aimed at meeting biodiversity targets. Changes in species diversity and high rates of compositional turnover have been reported worldwide. In many cases, trends in biodiversity are detected, but these trends are rarely causally attributed to possible drivers. A formal framework and guidelines for the detection and attribution of biodiversity change is needed. We propose an inferential framework to guide detection and attribution analyses, which identifies five steps-causal modelling, observation, estimation, detection and attribution-for robust attribution. This workflow provides evidence of biodiversity change in relation to hypothesized impacts of multiple potential drivers and can eliminate putative drivers from contention. The framework encourages a formal and reproducible statement of confidence about the role of drivers after robust methods for trend detection and attribution have been deployed. Confidence in trend attribution requires that data and analyses used in all steps of the framework follow best practices reducing uncertainty at each step. We illustrate these steps with examples. This framework could strengthen the bridge between biodiversity science and policy and support effective actions to halt biodiversity loss and the impacts this has on ecosystems.This article is part of the theme issue 'Detecting and attributing the causes of biodiversity change: needs, gaps and solutions'.
英文关键词causal inference; diversity; time series; monitoring; anthropocene; global change
语种英语
WOS研究方向Biology
WOS类目Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000996136400010
来源期刊PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/281257
作者单位McGill University; Martin Luther University Halle Wittenberg; University of British Columbia; The Santa Fe Institute
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GB/T 7714
Gonzalez, Andrew,Chase, Jonathan M.,O'Connor, Mary I.. A framework for the detection and attribution of biodiversity change[J],2023,378(1881).
APA Gonzalez, Andrew,Chase, Jonathan M.,&O'Connor, Mary I..(2023).A framework for the detection and attribution of biodiversity change.PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES,378(1881).
MLA Gonzalez, Andrew,et al."A framework for the detection and attribution of biodiversity change".PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES 378.1881(2023).
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