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Ecological networks are more sensitive to plant than to animal extinction under climate change

Authors: Marion Beil; Jochen Fründ; Jochen Fründ; Nina Farwig; Helge Bruelheide; Christian Hof; Martin Wiemers; +27 Authors

Ecological networks are more sensitive to plant than to animal extinction under climate change

Abstract

AbstractImpacts of climate change on individual species are increasingly well documented, but we lack understanding of how these effects propagate through ecological communities. Here we combine species distribution models with ecological network analyses to test potential impacts of climate change on >700 plant and animal species in pollination and seed-dispersal networks from central Europe. We discover that animal species that interact with a low diversity of plant species have narrow climatic niches and are most vulnerable to climate change. In contrast, biotic specialization of plants is not related to climatic niche breadth and vulnerability. A simulation model incorporating different scenarios of species coextinction and capacities for partner switches shows that projected plant extinctions under climate change are more likely to trigger animal coextinctions than vice versa. This result demonstrates that impacts of climate change on biodiversity can be amplified via extinction cascades from plants to animals in ecological networks.

Countries
Germany, Australia, Germany
Keywords

570, 550, 1300 Biochemistry, Science, Climate, Climate Change, Population Dynamics, 577, General Physics and Astronomy, Genetics and Molecular Biology, Extinction, Biological, Species Specificity, Seed Dispersal, Animals, 3100 Physics and Astronomy, Pollination, Ecosystem, 580, ddc:550, Q, General Chemistry, Biodiversity, Models, Theoretical, Plants, 1600 Chemistry, Adaptation, Physiological, Europe, General Biochemistry, ddc: ddc:550

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    193
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
193
Top 1%
Top 10%
Top 1%
Green
gold