Evidence map›Paper›PMID 41394211›Full record

ArticleEcology and evolution2025

Nonlinear Interactions and Spatial Heterogeneity of Ecosystem Service Transitions in an Ecologically Fragile Karst Region of Southwest China.

Yangyang Wu, Jinli Yang, Siliang Li, Yongli Mu, Dokrak Marod, Chunzi Guo, Xiaodong Yang, Huancai Feng, Runze Wu, Haobiao Wu and 5 more

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

15 authors.

Yangyang WuGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.ORCID https://orcid.org/0000-0003-4222-3117
Jinli YangGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Siliang LiSchool of Earth System Science Tianjin University Tianjin China.
Yongli MuGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Dokrak MarodDepartment of Forest Biology, Faculty of Forestry Kasetsart University Bangkok Thailand.
Chunzi GuoSchool of Earth System Science Tianjin University Tianjin China.
Xiaodong YangGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Huancai FengGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Runze WuGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Haobiao WuGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Panli YuanGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Shaopeng FengGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Songtao LiGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Xuegang XingGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.
Guangjie LuoGuizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed Guizhou Education University Guiyang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Karst regions are ecologically fragile landscapes where land use transitions and human interventions significantly reshape ecosystem service value (ESV). This study investigates the Miaoling watershed in Southwest China-a pivotal ecological barrier-by integrating a value equivalent factor model with an optimized geographic detector to quantify ESV changes and their drivers from 2000 to 2020. Our results reveal substantial land conversions, particularly between forest, grassland, and cropland, leading to pronounced spatial heterogeneity in ESV. Mixed-use zones emerge as critical ecological bottlenecks where gains in ESV coincide with heightened environmental risks. Importantly, we uncover strong nonlinear interactions between climatic (NDVI, precipitation) and socioeconomic (primary industry output) factors, reinforcing the complexity of natural-human feedbacks in karst landscapes. This study offers new insights into the spatial targeting of ecological restoration and risk management and contributes a replicable framework for assessing ecosystem transitions in vulnerable environments.

Indexed as

ecological sensitivityecosystem service valuegeodetectorkarst watershedland use change

Identifiers

PMID41394211
PMCPMC12696424

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.