JOM KITA KE POLITEKNIK

Predicting effects of multiple interacting global change drivers across trophic levels (Record no. 466)

MARC details
042 ## - AUTHENTICATION CODE
Authentication code dc
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name van Moorsel, Sofia J.
Relator term author
9 (RLIN) 2779
245 00 - TITLE STATEMENT
Title Predicting effects of multiple interacting global change drivers across trophic levels
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. John Wiley and Sons Inc.,
Date of publication, distribution, etc. 2022-12-21.
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General note /pmc/articles/PMC7614140/
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General note /pubmed/36461630
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Summary, etc. Global change encompasses many co‐occurring anthropogenic drivers, which can act synergistically or antagonistically on ecological systems. Predicting how different global change drivers simultaneously contribute to observed biodiversity change is a key challenge for ecology and conservation. However, we lack the mechanistic understanding of how multiple global change drivers influence the vital rates of multiple interacting species. We propose that reaction norms, the relationships between a driver and vital rates like growth, mortality, and consumption, provide insights to the underlying mechanisms of community responses to multiple drivers. Understanding how multiple drivers interact to affect demographic rates using a reaction‐norm perspective can improve our ability to make predictions of interactions at higher levels of organization-that is, community and food web. Building on the framework of consumer-resource interactions and widely studied thermal performance curves, we illustrate how joint driver impacts can be scaled up from the population to the community level. A simple proof‐of‐concept model demonstrates how reaction norms of vital rates predict the prevalence of driver interactions at the community level. A literature search suggests that our proposed approach is not yet used in multiple driver research. We outline how realistic response surfaces (i.e., multidimensional reaction norms) can be inferred by parametric and nonparametric approaches. Response surfaces have the potential to strengthen our understanding of how multiple drivers affect communities as well as improve our ability to predict when interactive effects emerge, two of the major challenges of ecology today.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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Language note en
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Topical term or geographic name as entry element Opinions
9 (RLIN) 2787
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Genre/form data or focus term Text
Source of term local
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Thébault, Elisa
Relator term author
9 (RLIN) 2780
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Radchuk, Viktoriia
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9 (RLIN) 2781
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Narwani, Anita
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9 (RLIN) 2782
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Montoya, José M.
Relator term author
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Dakos, Vasilis
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9 (RLIN) 2783
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Holmes, Mark
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9 (RLIN) 2784
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Personal name De Laender, Frederik
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9 (RLIN) 2785
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Personal name Pennekamp, Frank
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9 (RLIN) 2786
786 0# - DATA SOURCE ENTRY
Note Glob Chang Biol
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1111/gcb.16548">http://dx.doi.org/10.1111/gcb.16548</a>
Public note Connect to this object online.

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