Evidence map›Paper›PMID 40983764›Full record

ArticleOecologia2025

Energy-safety trade-offs differ between winter-adapted species of prey to drive distinct activity patterns.

Shotaro Shiratsuru, William H Karasov, Jonathan N Pauli

Abstract read
In one paragraph

Article in Oecologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Shotaro ShiratsuruDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison, WI, USA. s.shiratsuru@gmail.com.ORCID http://orcid.org/0000-0001-8747-9664
William H KarasovDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison, WI, USA.
Jonathan N PauliDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison, WI, USA.

Funding

National Institute of Food and Agriculture Hatch project1022626
6 · The paper itself

Abstract

Energy acquisition and risk avoidance can drive prey activity, but mechanistic understanding of the process through which prey traits mediate this energy-safety trade-off is lacking. We analyzed daily activity in winter of two winter-adapted prey that differ in antipredator strategies and physiological constraints on activity: snowshoe hares (Lepus americanus) and North American porcupines (Erethizon dorsatum). First, we constructed an energetics-based model to predict daily activity time for each species based on temperature and corresponding mass-dependent thermoregulatory costs. We then examined what factors drove the deviations of observed activity from the model prediction based on energy balance, considering individual variation. Neither hares nor porcupines achieved energy balance when temperatures fell below the thermoneutral zone. Activity deviations of hares from energy balance were explained by environmental factors associated with risk and energetics, with nominal individual variation being exhibited. In contrast, activity deviations of porcupines were independent of the environmental factors, and porcupines exhibited pronounced individual variation in activity. Our findings highlight that antipredator strategies and physiological constraints on activity can mediate the behavioral energy-safety trade-off of prey. Notably, morphological protection and energy reserves facilitate behavioral flexibility by relaxing the energy-safety trade-off, whereas dependence on behavioral predator avoidance limits the behavioral flexibility of prey.

Indexed as

Energy MetabolismHaresPorcupinesPredatory BehaviorAnimalsSeasonsEnergeticsErethizon dorsatumLepus americanusPredation riskPredator–prey

Identifiers

PMID40983764
PMCPMC12454541

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Registered trials

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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.