A framework for understanding climate change impacts through non-compensatory intra- and interspecific climate change responses

© 2024 The Author(s). Global Change Biology published by John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 30(2024), 6 vom: 24. Juni, Seite e17378
1. Verfasser: Coblentz, Kyle E (VerfasserIn)
Weitere Verfasser: Treidel, Lisa A, Biagioli, Francis P, Fragel, Christina G, Johnson, Allison E, Thilakarathne, Dinelka D, Yang, Liuqingqing, DeLong, John P
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article Review asymmetry demographic change host–parasite life history mismatch mutualism population growth/decline predator–prey mehr... temperature thermal performance
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520 |a © 2024 The Author(s). Global Change Biology published by John Wiley & Sons Ltd. 
520 |a Understanding and predicting population responses to climate change is a crucial challenge. A key component of population responses to climate change are cases in which focal biological rates (e.g., population growth rates) change in response to climate change due to non-compensatory effects of changes in the underlying components (e.g., birth and death rates) determining the focal rates. We refer to these responses as non-compensatory climate change effects. As differential responses of biological rates to climate change have been documented in a variety of systems and arise at multiple levels of organization within and across species, non-compensatory effects may be nearly ubiquitous. Yet, how non-compensatory climate change responses combine and scale to influence the demographics of populations is often unclear and requires mapping them to the birth and death rates underlying population change. We provide a flexible framework for incorporating non-compensatory changes in upstream rates within and among species and mapping their consequences for additional downstream rates across scales to their eventual effects on population growth rates. Throughout, we provide specific examples and potential applications of the framework. We hope this framework helps to enhance our understanding of and unify research on population responses to climate change 
650 4 |a Journal Article 
650 4 |a Review 
650 4 |a asymmetry 
650 4 |a demographic change 
650 4 |a host–parasite 
650 4 |a life history 
650 4 |a mismatch 
650 4 |a mutualism 
650 4 |a population growth/decline 
650 4 |a predator–prey 
650 4 |a temperature 
650 4 |a thermal performance 
700 1 |a Treidel, Lisa A  |e verfasserin  |4 aut 
700 1 |a Biagioli, Francis P  |e verfasserin  |4 aut 
700 1 |a Fragel, Christina G  |e verfasserin  |4 aut 
700 1 |a Johnson, Allison E  |e verfasserin  |4 aut 
700 1 |a Thilakarathne, Dinelka D  |e verfasserin  |4 aut 
700 1 |a Yang, Liuqingqing  |e verfasserin  |4 aut 
700 1 |a DeLong, John P  |e verfasserin  |4 aut 
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773 1 8 |g volume:30  |g year:2024  |g number:6  |g day:24  |g month:06  |g pages:e17378 
856 4 0 |u http://dx.doi.org/10.1111/gcb.17378  |3 Volltext 
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