Evidence map›Paper›PMID 41415312›Full record

ArticleEcology and evolution2025

InVEST Model and Landscape Indices Reveal Habitat Quality Degradation From Land Use Changes in South China.

Xiaojun Wang, Guangxu Liu, Hong Jia

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

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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.

Xiaojun WangSchool of Geography and Environmental Engineering Gannan Normal University Ganzhou Jiangxi China.ORCID https://orcid.org/0000-0002-4572-3742
Guangxu LiuSchool of Geography and Environmental Engineering Gannan Normal University Ganzhou Jiangxi China.ORCID https://orcid.org/0000-0002-3596-2205
Hong JiaKey Laboratory of Environmental Change and Natural Disaster, Ministry of Education Beijing Normal University Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intensification of human activities has degraded the ecological environment of Hunan Province in South China. Existing studies on the province's habitat quality (HQ) primarily focus on specific landscapes or geomorphic zones, lacking quantitative analysis of the contribution of land use and land cover change (LULC) to HQ changes, as well as the application of landscape indices to characterize HQ dynamics. This study evaluated HQ changes in Hunan Province from 2000 to 2023, landscape indices, and spatial autocorrelation analysis. The results indicate that LULC was dominated by forestland (62.16%-62.6%) and cultivated land (27.82%-28.83%), and HQ was mainly categorized as high-quality (40.73%-42.23%) and medium-quality (24.14%-25.1%), with them concentrated in the mountainous regions, central plains, and lakeshores of western, southern, and eastern Hunan. For both LULC and HQ, landscape fragmentation, instability, and heterogeneity increased over the study period. LULC changes were primarily driven by the mutual conversion between cultivated land and forestland (-30.26% to +29.86%) and the expansion of built-up land (mainly converted from other land types); HQ degradation (high to low-quality) was most frequent during the 2015-2020 period. Specifically, the conversion of cultivated land to forestland had a positive effect on the total HQ (+29.86%), whereas the conversion of forestland to cultivated land reduced HQ (-30.26%); the conversion between built-up land and other land types exerted the most significant effect on the average HQ (> 4.93%). A strong positive spatial autocorrelation was observed between LULC and HQ indices, with significant clustering in mountainous and urban regions. This study demonstrates that LULC changes, particularly irreversible urbanization, drive HQ degradation by increasing landscape fragmentation and heterogeneity. To mitigate ecological fragmentation, sustainable land-use planning must prioritize forestland conservation, cultivated land protection, and rational urban expansion. Additionally, integrating LULC monitoring with HQ assessments is critical for balancing socioeconomic development and ecological integrity in South China.

Indexed as

habitat qualitylandscape indicesland useSouth Chinaspatial autocorrelation

Identifiers

PMID41415312
PMCPMC12710074

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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.