Journal article icon

Journal article

Transient dynamics and nonlinear fitness: A matrix approach to pulse and press perturbation

Abstract:
Disturbances can occur as short‐lived pulses (e.g., storms) or sustained presses (e.g., chronic drought). Much work in ecology has developed methods to help predict how natural populations respond to disturbances, but analyses of pulse and press disturbances have been largely disconnected. We present a matrix framework that links press and pulse perturbations within the same analytical approach, showing how transient nonlinearities and demography shape fitness. We find that transient responses to pulse perturbations accumulate to determine the long‐term response to press disturbances. For structured population models, this cumulative change is given by a new transient response matrix (TRM). Strikingly, the TRM also yields the second derivatives of the population growth rate with respect to matrix elements. Thus, there is an intimate but unexpected relationship between nonlinear selection pressures on demographic rates, and the transient dynamics of populations. This relationship yields a strong correlation between TRM and generation time across 439 unique plant and animal species (2690 population models). We also show that the TRM is directly related to Cohen's cumulative distance measure for populations converging to stability. Our framework provides ecologists with a general tool to predict population responses to diverse environmental changes.
Publication status:
Published
Peer review status:
Peer reviewed

Actions

Access Document

Files:
Publisher copy:
10.1002/ecy.70433

Authors

More by this author
Role:
Author
ORCID:
0000-0002-1563-4917
More by this author
Role:
Author
ORCID:
0000-0002-2984-1810
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-9996-5897


More from this funder
Funder identifier:
https://ror.org/00k4n6c32
Grant:
101032484
More from this funder
Funder identifier:
https://ror.org/059bp8k51


Publisher:
Wiley
Journal:
Ecology More from this journal
Volume:
107
Issue:
6
Pages:
e70433
Article number:
e70433
Publication date:
2026-06-07
Acceptance date:
2026-02-18
DOI:
EISSN:
1939-9170
ISSN:
0012-9658


Language:
English
Keywords:
Source identifiers:
4209049
Deposit date:
2026-06-08
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP