Evidence map›Paper›PMID 42252615›Full record

ArticleEcology2026

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

Harman Jaggi, Shripad Tuljapurkar, Wenyun Zuo, Samuel J L Gascoigne, Maja Kajin, Roberto Salguero-Gómez

Abstract read
In one paragraph

Article in Ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Harman JaggiEcology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA.ORCID https://orcid.org/0000-0002-1563-4917
Shripad TuljapurkarDepartment of Biology, Stanford University, Stanford, California, USA.
Wenyun ZuoDepartment of Biology, Stanford University, Stanford, California, USA.
Samuel J L GascoigneSchool of Biological Sciences, University of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0002-2984-1810
Maja KajinDepartment of Biology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-9996-5897
Roberto Salguero-GómezDepartment of Biology, University of Oxford, Oxford, UK.

Funding

European Commission 101032484NERC Pushing the Frontiers NE/X013766/1RSG, Next Generation EU MN-0023-481Slovenian Research and Innovation Agency p1-0184
6 · The paper itself

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.

Indexed as

EcosystemModels, BiologicalAnimalsPlantsPopulation DynamicsTime Factorsmatrix population modelsnonlinear fitnessperturbation theorypress disturbancepulse disturbancethe second derivatives of population growth ratetransient response matrix

Identifiers

PMID42252615
PMCPMC13243821

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.