Evidence map›Paper›PMID 40760144›Full record

ArticleScientific reports2025

Research on the synergistic evolution of land use transformation and ecosystem service value in the Anning River Basin.

Zitong Li, Bin Zhang, Jun Luo, Lifan Yang, Cheng Liu, Qingchun Deng

Abstract read
In one paragraph

Article in Scientific reports, 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

6 authors.

Zitong LiSchool of Geographical Science, China West Normal University, Nanchong, 637000, China.
Bin ZhangSchool of Geographical Science, China West Normal University, Nanchong, 637000, China.
Jun LuoSchool of Geographical Science, China West Normal University, Nanchong, 637000, China.
Lifan YangSchool of Geographical Science, China West Normal University, Nanchong, 637000, China.
Cheng LiuSchool of Geographical Science, China West Normal University, Nanchong, 637000, China.
Qingchun DengSchool of Geographical Science, China West Normal University, Nanchong, 637000, China. qingqing123ok@163.com.

Funding

Doctoral research program of China West Normal University 19E067
6 · The paper itself

Abstract

Strategic hub in Panxi Economic Zone, the Anning River Basin faces fragile ecology and significant land governance issues. This study uses the "Production-Living-Ecological Space" (PLES) theory to assess how land use transformation affects ecosystem service value (ESV) and sustainable development. It draws on 1985-2023 land-use data, statistical yearbooks, the modified equivalent factor method, Geo-information TuPu, improved cross-sensitivity analysis (CICS) and optimal parameter geographic detector. the findings: (1) E-P land expanded by 255,893.21 hectares, with a dynamic degree of 29.05%; (2) E-P land supplies > 90% of total ESV (67% from regulating services). Since 2005, ESV dropped 326 M yuan overall, with E-P land declining 766 M yuan. Hotspots are in high-altitude areas; cold spots, in plains; (3) ecosystem services are most sensitive to E-P land conversions, with conversions between P-E land and other types generally lowering ESV; (4) 500 × 500 m Anning River Basin data show that population density influences ecosystem services (q = 0.602) in univariate analysis, with bivariate interactions boosting explanatory power. Findings reveal complex links between land use, ecosystem services, and socio-economic factors in the Anning River Basin, emphasizing the need to consider multiple factors in land management and ecological protection.

Indexed as

Coefficient of improved cross-sensitivityEcosystem service valueGeo-Information TuPuProduction-living-ecological space

Identifiers

PMID40760144
PMCPMC12322017

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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.