Evidence map›Paper›PMID 40321023›Full record

ArticleGlobal change biology2025

Climate-Induced Physiological Stress Drives Rainforest Mammal Population Declines.

Alejandro de la Fuente, Natalie J Briscoe, Michael R Kearney, Stephen E Williams, Kara N Youngentob, Karen J Marsh, Lucas A Cernusak, Lily Leahy, Johan Larson, Andrew K Krockenberger

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Alejandro de la FuenteCollege of Science and Engineering, James Cook University, Cairns, Queensland, Australia.ORCID 0000-0001-9686-3844
Natalie J BriscoeSchool of Agriculture, Food and Ecosystem Science, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-0049-8956
Michael R KearneySchool of BioSciences, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-3349-8744
Stephen E WilliamsCollege of Science and Engineering, James Cook University, Townsville, Queensland, Australia.ORCID 0000-0002-2510-7408
Kara N YoungentobThe Fenner School of Environmental and Society, Australian National University, Canberra, Australian Capital Territory, Australia.
Karen J MarshResearch School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Lucas A CernusakCollege of Science and Engineering, James Cook University, Cairns, Queensland, Australia.ORCID 0000-0002-7575-5526
Lily LeahyDepartment of Ecological, Plant, and Animal Sciences, La Trobe University, Melbourne, Australia.
Johan LarsonCollege of Science and Engineering, James Cook University, Cairns, Queensland, Australia.
Andrew K KrockenbergerCollege of Science and Engineering, James Cook University, Cairns, Queensland, Australia.

Funding

Australian Research Council DP230101907Skyrail Rainforest FoundationWet Tropics Management Authority
6 · The paper itself

Abstract

Climate change is a major driver of global biodiversity loss, yet the precise mechanisms linking climate change to population declines remain poorly understood. We developed a novel, broadly applicable framework that integrates biophysical, nutritional, and population modeling to capture fundamental physiological constraints on mammalian herbivores and applied it to investigate the causes of declines in ringtail possums of the Australian Wet Tropics (Pseudochirops archeri and Hemibelideus lemuroides). Our approach bridges the gap between mechanistic ("bottom-up") models, which simulate species' responses based solely on their traits and local microclimates, and the more common ("top-down") statistical models, which infer species' responses from occurrence or abundance data and standard environmental variables. We quantified population dynamics over a 30-year period by generating species-specific estimates of temperature and water stress, foraging limitations, and linking these with annual monitoring and nutritional quality within an open population model. Our findings demonstrate that climate change has impacted populations through physiological stress, but in a species-specific manner. Both species have experienced population collapses at lower elevations and in low-nutritional sites. For P. archeri, we found evidence that population changes were driven by reduced survival due to overheating and dehydration, alongside diminished recruitment from limited foraging. In contrast, our model suggests that H. lemuroides populations were primarily affected by foraging constraints, emphasizing the importance of considering climate-driven limitations on foraging activity in addition to direct physiological stress. These mechanistic insights offer a foundation for targeted conservation strategies to mitigate the impacts of climate pressures on wild populations.

Indexed as

Climate ChangeRainforestStress, PhysiologicalAnimalsAustraliaModels, BiologicalPopulation DynamicsAustralian Wet Tropicsbiophysical ecologyclimate changeforaging constraintspopulation dynamicsprocess‐explicit modelstropical mammals

Identifiers

PMID40321023
PMCPMC12050993

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.