Comparative Life-Cycle Analyses Reveal Interacting Climatic and Biotic Drivers of Population Responses to Climate Change

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Authors

Esin Ickin, Eva Conquet , Briana Abrahms, Steve Albon, Daniel T. Blumstein, Monica L Bond, P Dee Boersma, Tyler J Clark-Wolf, Tim Clutton-Brock, Aldo Compagnoni, Tomáš Dostálek, Sanne M Evers, Claudia Fichtel, Marlène Gamelon, David García-Callejas, Michael Griesser, Brage B Hansen, Stéphanie Jenouvrier, Kurt Jerstad, Peter Kappeler, Kate Layton-Matthews, Derek Lee, Francisco Lloret, Maarten JJE Loonen, Anne-Kathleen Malchow, Marta B Manser, Ana Morales-González, Julien G. A. Martin, Zuzana Münzbergová, Chloé R. Nater , Neville Pillay, Maud Quéroué, Ole W Røstad, María T Sánchez Mejía, Carsten Schradin, Bernt-Erik Sæther, Arpat Ozgul, Maria Paniw

Abstract

Responses of natural populations to climate change are driven by how multiple climatic and biotic factors affect survival and reproduction, and ultimately shape population dynamics. Yet, we lack a general understanding of the role of such mechanisms in moderating climate-change impacts across different species. Here, we synthesize how the joint effects of climate and biotic interactions on different vital rates impact population change, using 41 species from trees to primates. We show that the effects of multiple climatic drivers tend to exacerbate population responses to climate change in most species. Importantly however, density feedbacks consistently buffer the effects of climate drivers on populations. In all species considered in our analyses, such interactions among climate and density had starkly different effects depending on the age, size, or life-cycle stage of individuals, highlighting that climate-change impacts can hardly be inferred from single drivers or ages or life-cycle stages, regardless of the life-history of species. Our work thus advances our ability to make generalizations about key pathways of climate-change impacts on populations.

DOI

https://doi.org/10.32942/X24C92

Subjects

Life Sciences

Keywords

ecology, meta analysis, climate change, population dynamics, matrix population models, integral projection models, individual-based models

Dates

Published: 2024-12-23 00:43

License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Language:
English

Conflict of interest statement:
none

Data and Code Availability Statement:
All data are code are available on https://github.com/EsinIckin/Comparative-demography-project. All analyses are fully reproducible.