A Causal Inference Framework for Climate Change Attribution in Ecology

ABSTRACT As climate change increasingly affects biodiversity and ecosystem services, a key challenge in ecology is accurate attribution of these impacts. Though experimental studies have greatly advanced our understanding of climate change effects, experimental results are difficult to generalise to...

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Veröffentlicht in:	Ecology letters Jg. 28; H. 8; S. e70192 - n/a
Hauptverfasser:	Dudney, Joan, Dee, Laura E., Heilmayr, Robert, Byrnes, Jarrett, Siegel, Katherine
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Blackwell Publishing Ltd 01.08.2025
Schlagworte:	adaptation and acclimation Biodiversity Climate Change climate change detection confounding variables counterfactual analysis directed acyclic graph (DAG) Ecological effects ecological forecasting Ecology Ecology - methods Ecosystem Ecosystem services extreme events Inference Models, Biological omitted variable bias panel regression Pinus - physiology quasi‐experimental design Research design adaptation and acclimation quasi‐experimental design omitted variable bias directed acyclic graph (DAG) confounding variables extreme events ecological forecasting climate change detection counterfactual analysis panel regression
ISSN:	1461-023X, 1461-0248, 1461-0248
Online-Zugang:	Volltext
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