Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships

Detecting and quantifying the causal relations of ecosystem functioning is a challenging endeavor. A global study on grasslands illustrates how reasoning about underlying assumptions, from confounding and nonlinearity to fundamental questions of determinism, is key to unlocking the potential of mode...

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Detalles Bibliográficos
Autor principal: Runge, Jakob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079963/
https://www.ncbi.nlm.nih.gov/pubmed/37024476
http://dx.doi.org/10.1038/s41467-023-37546-1
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author Runge, Jakob
author_facet Runge, Jakob
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description Detecting and quantifying the causal relations of ecosystem functioning is a challenging endeavor. A global study on grasslands illustrates how reasoning about underlying assumptions, from confounding and nonlinearity to fundamental questions of determinism, is key to unlocking the potential of modern causal inference approaches in ecology.
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spelling pubmed-100799632023-04-08 Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships Runge, Jakob Nat Commun Comment Detecting and quantifying the causal relations of ecosystem functioning is a challenging endeavor. A global study on grasslands illustrates how reasoning about underlying assumptions, from confounding and nonlinearity to fundamental questions of determinism, is key to unlocking the potential of modern causal inference approaches in ecology. Nature Publishing Group UK 2023-04-06 /pmc/articles/PMC10079963/ /pubmed/37024476 http://dx.doi.org/10.1038/s41467-023-37546-1 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Runge, Jakob
Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships
title Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships
title_full Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships
title_fullStr Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships
title_full_unstemmed Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships
title_short Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships
title_sort modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079963/
https://www.ncbi.nlm.nih.gov/pubmed/37024476
http://dx.doi.org/10.1038/s41467-023-37546-1
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