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Causal networks of phytoplankton diversity and biomass are modulated by environmental context
Untangling causal links and feedbacks among biodiversity, ecosystem functioning, and environmental factors is challenging due to their complex and context-dependent interactions (e.g., a nutrient-dependent relationship between diversity and biomass). Consequently, studies that only consider separabl...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894464/ https://www.ncbi.nlm.nih.gov/pubmed/35241667 http://dx.doi.org/10.1038/s41467-022-28761-3 |
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author | Chang, Chun-Wei Miki, Takeshi Ye, Hao Souissi, Sami Adrian, Rita Anneville, Orlane Agasild, Helen Ban, Syuhei Be’eri-Shlevin, Yaron Chiang, Yin-Ru Feuchtmayr, Heidrun Gal, Gideon Ichise, Satoshi Kagami, Maiko Kumagai, Michio Liu, Xin Matsuzaki, Shin-Ichiro S. Manca, Marina M. Nõges, Peeter Piscia, Roberta Rogora, Michela Shiah, Fuh-Kwo Thackeray, Stephen J. Widdicombe, Claire E. Wu, Jiunn-Tzong Zohary, Tamar Hsieh, Chih-hao |
author_facet | Chang, Chun-Wei Miki, Takeshi Ye, Hao Souissi, Sami Adrian, Rita Anneville, Orlane Agasild, Helen Ban, Syuhei Be’eri-Shlevin, Yaron Chiang, Yin-Ru Feuchtmayr, Heidrun Gal, Gideon Ichise, Satoshi Kagami, Maiko Kumagai, Michio Liu, Xin Matsuzaki, Shin-Ichiro S. Manca, Marina M. Nõges, Peeter Piscia, Roberta Rogora, Michela Shiah, Fuh-Kwo Thackeray, Stephen J. Widdicombe, Claire E. Wu, Jiunn-Tzong Zohary, Tamar Hsieh, Chih-hao |
author_sort | Chang, Chun-Wei |
collection | PubMed |
description | Untangling causal links and feedbacks among biodiversity, ecosystem functioning, and environmental factors is challenging due to their complex and context-dependent interactions (e.g., a nutrient-dependent relationship between diversity and biomass). Consequently, studies that only consider separable, unidirectional effects can produce divergent conclusions and equivocal ecological implications. To address this complexity, we use empirical dynamic modeling to assemble causal networks for 19 natural aquatic ecosystems (N24(◦)~N58(◦)) and quantified strengths of feedbacks among phytoplankton diversity, phytoplankton biomass, and environmental factors. Through a cross-system comparison, we identify macroecological patterns; in more diverse, oligotrophic ecosystems, biodiversity effects are more important than environmental effects (nutrients and temperature) as drivers of biomass. Furthermore, feedback strengths vary with productivity. In warm, productive systems, strong nitrate-mediated feedbacks usually prevail, whereas there are strong, phosphate-mediated feedbacks in cold, less productive systems. Our findings, based on recovered feedbacks, highlight the importance of a network view in future ecosystem management. |
format | Online Article Text |
id | pubmed-8894464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88944642022-03-17 Causal networks of phytoplankton diversity and biomass are modulated by environmental context Chang, Chun-Wei Miki, Takeshi Ye, Hao Souissi, Sami Adrian, Rita Anneville, Orlane Agasild, Helen Ban, Syuhei Be’eri-Shlevin, Yaron Chiang, Yin-Ru Feuchtmayr, Heidrun Gal, Gideon Ichise, Satoshi Kagami, Maiko Kumagai, Michio Liu, Xin Matsuzaki, Shin-Ichiro S. Manca, Marina M. Nõges, Peeter Piscia, Roberta Rogora, Michela Shiah, Fuh-Kwo Thackeray, Stephen J. Widdicombe, Claire E. Wu, Jiunn-Tzong Zohary, Tamar Hsieh, Chih-hao Nat Commun Article Untangling causal links and feedbacks among biodiversity, ecosystem functioning, and environmental factors is challenging due to their complex and context-dependent interactions (e.g., a nutrient-dependent relationship between diversity and biomass). Consequently, studies that only consider separable, unidirectional effects can produce divergent conclusions and equivocal ecological implications. To address this complexity, we use empirical dynamic modeling to assemble causal networks for 19 natural aquatic ecosystems (N24(◦)~N58(◦)) and quantified strengths of feedbacks among phytoplankton diversity, phytoplankton biomass, and environmental factors. Through a cross-system comparison, we identify macroecological patterns; in more diverse, oligotrophic ecosystems, biodiversity effects are more important than environmental effects (nutrients and temperature) as drivers of biomass. Furthermore, feedback strengths vary with productivity. In warm, productive systems, strong nitrate-mediated feedbacks usually prevail, whereas there are strong, phosphate-mediated feedbacks in cold, less productive systems. Our findings, based on recovered feedbacks, highlight the importance of a network view in future ecosystem management. Nature Publishing Group UK 2022-03-03 /pmc/articles/PMC8894464/ /pubmed/35241667 http://dx.doi.org/10.1038/s41467-022-28761-3 Text en © The Author(s) 2022, corrected publication 2022 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 | Article Chang, Chun-Wei Miki, Takeshi Ye, Hao Souissi, Sami Adrian, Rita Anneville, Orlane Agasild, Helen Ban, Syuhei Be’eri-Shlevin, Yaron Chiang, Yin-Ru Feuchtmayr, Heidrun Gal, Gideon Ichise, Satoshi Kagami, Maiko Kumagai, Michio Liu, Xin Matsuzaki, Shin-Ichiro S. Manca, Marina M. Nõges, Peeter Piscia, Roberta Rogora, Michela Shiah, Fuh-Kwo Thackeray, Stephen J. Widdicombe, Claire E. Wu, Jiunn-Tzong Zohary, Tamar Hsieh, Chih-hao Causal networks of phytoplankton diversity and biomass are modulated by environmental context |
title | Causal networks of phytoplankton diversity and biomass are modulated by environmental context |
title_full | Causal networks of phytoplankton diversity and biomass are modulated by environmental context |
title_fullStr | Causal networks of phytoplankton diversity and biomass are modulated by environmental context |
title_full_unstemmed | Causal networks of phytoplankton diversity and biomass are modulated by environmental context |
title_short | Causal networks of phytoplankton diversity and biomass are modulated by environmental context |
title_sort | causal networks of phytoplankton diversity and biomass are modulated by environmental context |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894464/ https://www.ncbi.nlm.nih.gov/pubmed/35241667 http://dx.doi.org/10.1038/s41467-022-28761-3 |
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