TY - JOUR
T1 - Climate Disruption of Plant-Microbe Interactions
AU - Rudgers, Jennifer A.
AU - Afkhami, Michelle E.
AU - Bell-Dereske, Lukas
AU - Chung, Y. Anny
AU - Crawford, Kerri M.
AU - Kivlin, Stephanie N.
AU - Mann, Michael A.
AU - Nuntildez, Martin A.
N1 - Publisher Copyright:
© 2020 Annual Reviews Inc.. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/2
Y1 - 2020/11/2
N2 - Interactions between plants and microbes have important influences on evolutionary processes, population dynamics, community structure, and ecosystem function. We review the literature to document how climate change may disrupt these ecological interactions and develop a conceptual framework to integrate the pathways of plant-microbe responses to climate over different scales in space and time. We then create a blueprint to aid generalization that categorizes climate effects into changes in the context dependency of plant-microbe pairs, temporal mismatches and altered feedbacks over time, or spatial mismatches that accompany species range shifts. We pair a new graphical model of how plant-microbe interactions influence resistance to climate change with a statistical approach to predictthe consequences of increasing variability in climate. Finally, we suggest pathways through which plant-microbe interactions can affect resilience during recovery from climate disruption. Throughout, we take a forward-looking perspective, highlighting knowledge gaps and directions for future research.
AB - Interactions between plants and microbes have important influences on evolutionary processes, population dynamics, community structure, and ecosystem function. We review the literature to document how climate change may disrupt these ecological interactions and develop a conceptual framework to integrate the pathways of plant-microbe responses to climate over different scales in space and time. We then create a blueprint to aid generalization that categorizes climate effects into changes in the context dependency of plant-microbe pairs, temporal mismatches and altered feedbacks over time, or spatial mismatches that accompany species range shifts. We pair a new graphical model of how plant-microbe interactions influence resistance to climate change with a statistical approach to predictthe consequences of increasing variability in climate. Finally, we suggest pathways through which plant-microbe interactions can affect resilience during recovery from climate disruption. Throughout, we take a forward-looking perspective, highlighting knowledge gaps and directions for future research.
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U2 - 10.1146/annurev-ecolsys-011720-090819
DO - 10.1146/annurev-ecolsys-011720-090819
M3 - Review article
AN - SCOPUS:85095774954
VL - 51
SP - 561
EP - 586
JO - Annual Review of Ecology, Evolution, and Systematics
JF - Annual Review of Ecology, Evolution, and Systematics
SN - 0066-4162
ER -