Evidence map›Paper›PMID 40671722›Full record

ArticleEcology and evolution2025

Anthropogenic Habitat Loss and Fragmentation May Alter Coevolutionary Progress as Examined in a Brood Parasitism Model.

Wei Wang, Timothy Van Deelen, Fuwen Wei, Sheng Li, Luping Wang

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. 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

5 authors.

Wei WangDepartment of Forest and Wildlife Ecology University of Wisconsin-Madison Madison Wisconsin USA.ORCID https://orcid.org/0009-0000-8509-5536
Timothy Van DeelenDepartment of Forest and Wildlife Ecology University of Wisconsin-Madison Madison Wisconsin USA.
Fuwen WeiCollege of Forestry Jiangxi Agricultural University Nanchang China.ORCID https://orcid.org/0000-0002-5233-1288
Sheng LiState Key Laboratory of Gene Function and Modulation Research, School of Life Sciences Peking University Beijing China.ORCID https://orcid.org/0000-0001-7200-9539
Luping WangDepartment of Forest and Wildlife Ecology University of Wisconsin-Madison Madison Wisconsin USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habitat loss and fragmentation (HLF) resulting from anthropogenic disturbances is one of the greatest threats to numerous threatened taxa facing extinction risks. HLF may devastate biodiversity through various pathways such as restricting animal movement and gene flow, reducing opportunities for species to expand or shift their ranges and thus optimizing habitat use, and directly causing population decline and range contraction. Despite these well-documented impacts, the effects of HLF on the coevolutionary processes between coexisting species are rarely examined. In this study, we constructed a cuckoo-host brood parasitism model to explore how HLF of varied degrees may affect the cuckoo-host population dynamics through stochastic and reinforcement simulations. The results, validated with empirical data, revealed that severe HLF significantly increases the cuckoo's extinction risk compared to moderate HLF. Furthermore, severe HLF narrows the range of host rejection rates that allow cuckoo populations to persist under natural conditions. These findings suggest that severe HLF, typically driven by human activities and anthropogenic land use change, may not only directly increase the extinction risk of specific species but also disrupt the coevolutionary interactions, posing more severe ecological consequences than previously anticipated.

Indexed as

behavior adaptationbrood parasitismcoevolutionhabitat loss and fragmentationstochastic simulation

Identifiers

PMID40671722
PMCPMC12264393

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.