Evidence map›Paper›PMID 42868143›Full record

ArticlePloS one2026

Spatiotemporal evolution and coupling of "Forest-Cropland-Water" ecosystem vulnerability in the Yangtze River Economic Belt.

Shuai Wu, Xuanhui Li, Xiaohuang Liu, Guanzhong Zeng, Wei Zhang, Xiaojing Liu, Qinghua Zeng, Jie Sun, Liang Ru, Hang Xing and 1 more

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shuai WuCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Xuanhui LiCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Xiaohuang LiuKey Laboratory of Coupling Process and Effect of Natural Resources Elements, Beijing, China.
Guanzhong ZengCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Wei ZhangCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Xiaojing LiuCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Qinghua ZengCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Jie SunCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Liang RuCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Hang XingCenter for Geophysical Survey, China Geological Survey, Langfang, China.
Jiankun KangCenter for Geophysical Survey, China Geological Survey, Langfang, China.ORCID https://orcid.org/0009-0003-5306-207X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Yangtze River Economic Belt (YREB), China's "golden waterway" and "green barrier", relies on its "Forest-Cropland-Water" system for carbon sequestration, grain production, and water conservation. Tracking its vulnerability and coordination on a spatiotemporal scale reveals barriers to balancing ecological security with sustainable growth. Our study innovatively proposes a multi-system coupling evaluation framework. We integrate the Order relation (G1) method, the CRiteria Importance Through Intercriteria Correlation (CRITIC) method, and a game theory combination weighting to assess the ecological vulnerability of the "Forest-Cropland-Water" system across YREB. Using coupling coordination and spatial autocorrelation models, we then map the spatiotemporal pattern and spatial clustering characteristics of ecosystems interactions. Finally, geodetector method is employed to identify the principal drivers of coupling coordination. In 2000-2023, the ecological vulnerability of each ecosystem and the overall system exhibited a fluctuating downward trend. Spatial clustering of coupling coordination gradually weakened, and coupling types shifted from mild imbalance toward mild coordination. Concurrently, high vulnerability areas progressively transitioned to moderate and low vulnerability. Among the driving factors, Land use intensity and aerosol optical depth consistently exhibited the strongest explanatory power for the coupling coordination degree of the "Forest-Cropland-Water" system, whereas the influence of extreme high-temperature days markedly declined over time and the remaining selected factors played only subsidiary roles. This work provides a systematic framework for assessing future multi-system ecological vulnerability and coupling relationship, offering scientific guidance for promoting sustainable natural-resource management and inter-basin development.

Indexed as

AgricultureConservation of Natural ResourcesEcosystemForestsRiversChinaSpatio-Temporal Analysis

Identifiers

PMID42868143
PMCPMC13660887

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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.