Evidence map›Paper›PMID 42401547›Full record

ArticleNature communications2026

Eco-evolutionary responses of species distributions to climate change.

Pengdong Chen, Wei Huang, Evan Siemann

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Pengdong ChenState Key Laboratory of Lake and Watershed Science for Water Security, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.ORCID http://orcid.org/0000-0001-6627-9997
Wei HuangState Key Laboratory of Lake and Watershed Science for Water Security, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China. huangwei0519@wbgcas.cn.ORCID http://orcid.org/0000-0003-3760-6084
Evan SiemannDepartment of Biosciences, Rice University, Houston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species elevational shifts are well-documented responses to climate change, with many moving upslope to track suitable conditions. However, these shifts can vary considerably in both direction and rate, and the underlying causes of this variability are not well understood. This study examines how elevational shifts depend on geographical zones along with species' climatic niches, global prevalence, and evolutionary history by analyzing paired lower and upper edge shifts across 845 plant and animal species records worldwide. We find distinct effects of these drivers on upper versus lower distribution limits. Tropical species experienced more rapid upward shifts of their lower edges than did temperate species. Species with warmer and wetter optimal climatic niches displayed faster upper-edge shifts, while those only with wetter ones showed more rapid lower-edge shifts. Globally prevalent species expanded their distributions with climate change by combining faster upper-edge advances with slower lower-edge contractions, likely reflecting their drier climatic adaptation. Importantly, these ecological effects overlapped substantially with phylogenetic effects, and phylogenetic conservatism independently explained a notable portion of the variation in elevational responses. These findings highlight the complexity of evolutionary history and ecological processes in shaping species' climate responses and underscore the climate vulnerability of some species due to their evolutionary inertia.

Indexed as

Biological EvolutionClimate ChangeEcosystemAltitudeAnimalsPhylogenyPlants

Identifiers

PMID42401547
PMCPMC13470270

What OpenQuestion holds

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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.