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Journal article : Letter

Distinguishing short‐term versus long‐term responses in cover‐class structured community dynamics: a test with grassland drought response

Abstract:
Climate change is increasing the magnitude and frequency of precipitation extremes. Consequently, grassland community dynamics are destabilising and becoming harder to predict since models typically simulate long-term (asymptotic) behaviour, potentially neglecting short-term (transient) behaviour. Here, we use cover data from an experiment performed over 8 years to model short- and long-term responses of three functional groups (grasses, legumes, and non-leguminous forbs) to precipitation extremes. We use Integral Projection Models (IPMs) and pseudospectral theory to track transient grassland community dynamics driven by response lags and interannual shifts. We show that the cover-class structure and inter-cover-class interactions of functional groups make them transiently unstable but asymptotically stable, that is, disturbances are initially amplified before eventually dissipating. We also show that grasses dominate under irrigation, while legumes and forbs dominate under drought. We demonstrate that the pseudospectra of IPMs enable computationally and data-wise inexpensive assessment of whether transient dynamics drive community responses to disturbances.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/ele.70182

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author


More from this funder
Funder identifier:
https://ror.org/021nxhr62
Funding agency for:
Blonder, BW
Grant:
DEB-2425575
More from this funder
Funder identifier:
https://ror.org/02b5d8509
Grant:
NE/X013766/1
More from this funder
Funding agency for:
Hector, A


Publisher:
Wiley
Journal:
Ecology Letters More from this journal
Volume:
28
Issue:
8
Article number:
e70182
Publication date:
2025-08-13
Acceptance date:
2025-06-23
DOI:
EISSN:
1461-0248
ISSN:
1461-023X


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