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Seeing through the static: the temporal dimension of plant-animal mutualistic interactions.

CaraDonna, Paul J. and Burkle, Laura A. and Schwarz, Benjamin and Resasco, Julian and Knight, Tiffany M. and Benadi, Gita and Blüthgen, Nico and Dormann, Carsten F. and Fang, Qiang and Fründ, Jochen and Gauzens, Benoit and Kaiser-Bunbury, Christopher N. and Winfree, Rachael and Vázquez, Diego P. (2021):
Seeing through the static: the temporal dimension of plant-animal mutualistic interactions.
In: Ecology letters, 24 (1), pp. 149-161. ISSN 1461-0248,
DOI: 10.1111/ele.13623,
[Article]

Abstract

Most studies of plant-animal mutualistic networks have come from a temporally static perspective. This approach has revealed general patterns in network structure, but limits our ability to understand the ecological and evolutionary processes that shape these networks and to predict the consequences of natural and human-driven disturbance on species interactions. We review the growing literature on temporal dynamics of plant-animal mutualistic networks including pollination, seed dispersal and ant defence mutualisms. We then discuss potential mechanisms underlying such variation in interactions, ranging from behavioural and physiological processes at the finest temporal scales to ecological and evolutionary processes at the broadest. We find that at the finest temporal scales (days, weeks, months) mutualistic interactions are highly dynamic, with considerable variation in network structure. At intermediate scales (years, decades), networks still exhibit high levels of temporal variation, but such variation appears to influence network properties only weakly. At the broadest temporal scales (many decades, centuries and beyond), continued shifts in interactions appear to reshape network structure, leading to dramatic community changes, including loss of species and function. Our review highlights the importance of considering the temporal dimension for understanding the ecology and evolution of complex webs of mutualistic interactions.

Item Type: Article
Erschienen: 2021
Creators: CaraDonna, Paul J. and Burkle, Laura A. and Schwarz, Benjamin and Resasco, Julian and Knight, Tiffany M. and Benadi, Gita and Blüthgen, Nico and Dormann, Carsten F. and Fang, Qiang and Fründ, Jochen and Gauzens, Benoit and Kaiser-Bunbury, Christopher N. and Winfree, Rachael and Vázquez, Diego P.
Title: Seeing through the static: the temporal dimension of plant-animal mutualistic interactions.
Language: English
Abstract:

Most studies of plant-animal mutualistic networks have come from a temporally static perspective. This approach has revealed general patterns in network structure, but limits our ability to understand the ecological and evolutionary processes that shape these networks and to predict the consequences of natural and human-driven disturbance on species interactions. We review the growing literature on temporal dynamics of plant-animal mutualistic networks including pollination, seed dispersal and ant defence mutualisms. We then discuss potential mechanisms underlying such variation in interactions, ranging from behavioural and physiological processes at the finest temporal scales to ecological and evolutionary processes at the broadest. We find that at the finest temporal scales (days, weeks, months) mutualistic interactions are highly dynamic, with considerable variation in network structure. At intermediate scales (years, decades), networks still exhibit high levels of temporal variation, but such variation appears to influence network properties only weakly. At the broadest temporal scales (many decades, centuries and beyond), continued shifts in interactions appear to reshape network structure, leading to dramatic community changes, including loss of species and function. Our review highlights the importance of considering the temporal dimension for understanding the ecology and evolution of complex webs of mutualistic interactions.

Journal or Publication Title: Ecology letters
Journal volume: 24
Number: 1
Divisions: 10 Department of Biology
10 Department of Biology > Applied Network Ecology and Island Conservation
10 Department of Biology > Ecological Networks
Date Deposited: 27 Oct 2020 06:50
DOI: 10.1111/ele.13623
Identification Number: pmid:33073900
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