Evidence map›Paper›PMID 41858620›Full record

ArticleiScience2026

Landscape-socioeconomic feedback mechanisms in Sichuan's river basins.

Ruojing Shen, Shumiao Shu, Yuelin Wang, Yue Tian, Wende Chen

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ruojing ShenCollege of Geography and Planning, Chengdu University of Technology, Chengdu 610000, China.
Shumiao ShuTuojiang River Basin High-Quality Development Research Center, Neijiang Normal University, Neijiang 641000, China.
Yuelin WangCollege of Geography and Planning, Chengdu University of Technology, Chengdu 610000, China.
Yue TianCollege of Geography and Planning, Chengdu University of Technology, Chengdu 610000, China.
Wende ChenCollege of Geography and Planning, Chengdu University of Technology, Chengdu 610000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Landscape fragmentation and socio-economic systems interact in complex, bidirectional ways. This study examines three Sichuan river basins with similar natural conditions but varying socio-economic gradients using land use and socio-economic data (2000-2020). Analyses combining PCA, rolling-window Granger causality, and Random Forest-SHAP models revealed distinct basin-specific patterns: Jialingjiang exhibited the highest fragmentation, Minjiang the optimal landscape integrity, and Tuojiang showed transitional traits. Causality tests identified land-use-dependent interactions, with cropland acting as a "stable buffer," forest as "context-sensitive," and grassland as "dynamically vulnerable." SHAP analysis highlighted population density as the main socio-economic driver of fragmentation, while edge density most affected socio-economic outcomes, with policy-driven population agglomeration altering traditional correlations. The findings provide a scientific basis for targeted sustainable management in river basins.

Indexed as

Environmental managementEnvironmental scienceSocial sciences

Identifiers

PMID41858620
PMCPMC12995691

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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.