Evidence map›Paper›PMID 42278153›Full record

ArticleAnimals : an open access journal from MDPI2026

Assessing Habitat Suitability and Climate-Change Responses of Raptors in Hunan Province, China, Using Ensemble Species Distribution Models.

Yufeng Zeng, Zongze Zhou, Hao Meng, Zeshuai Deng, Wen Peng, Daode Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 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

6 authors.

Yufeng ZengInstitute of Wildlife Conservation, College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Zongze ZhouHunan Provincial Forestry Bureau, Changsha 410399, China.
Hao MengInstitute of Wildlife Conservation, College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Zeshuai DengInstitute of Wildlife Conservation, College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.ORCID 0000-0002-9570-2077
Wen PengInstitute of Wildlife Conservation, College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Daode YangInstitute of Wildlife Conservation, College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.

Funding

Hunan Forestry Bureau HNYB-2025001State Forestry and Grassland Administration 202401-HN-001
6 · The paper itself

Abstract

Raptors are high-trophic-level predators and scavengers that are sensitive to habitat alteration, human disturbance, and climate variability, yet province-wide assessments of their habitat suitability and climate-change responses remain limited in subtropical China. Hunan Province, located along the inland section of the East Asian-Australasian Flyway, contains complex mountain systems, plains, wetlands, and land-use mosaics that may support diverse raptor assemblages. Based on raptor survey records collected across Hunan from January 2022 to July 2023, we used biomod2 ensemble species distribution models to assess current habitat suitability, identify key environmental predictors, and project future changes under the SSP2-4.5 and SSP5-8.5 scenarios for the 2050s and 2090s. We recorded 39 raptor species and retained 3637 valid geographic locations and 4855 observed individuals after data cleaning. Nine representative species were further selected to construct 22 species-season combinations covering resident species, summer visitors, winter visitors, and four phenological stages. The EMwmean weighted ensemble model consistently outperformed the best single models, increasing mean AUC from 0.882 to 0.970 and the mean TSS from 0.611 to 0.845. Temperature seasonality (BIO4), the Human Footprint Index (HFP), precipitation in the driest month (BIO14), and the Normalized Difference Vegetation Index (NDVI) were the dominant predictors, although their relative importance varied among residency types and phenological stages. Under current conditions, highly suitable and most suitable habitats covered 65,259.67 km

Indexed as

biomod2climate changeenvironmental drivershabitat suitabilityHunan Provinceraptorsspecies distribution models

Identifiers

PMID42278153
PMCPMC13255688

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.