Evidence map›Paper›PMID 40739445›Full record

ArticleCarbon balance and management2025

The impact of the Grain-for-Green Programme on carbon storage in the Upper Yangtze River Basin based on the PLUS-InVEST model.

Minghong Peng, Ye Yang, Yuanjie Deng, Dingdi Jize, Hang Chen, Yifeng Hai, Guojie Liu, Haijun Wang, Tianhui Xie, Hu Li and 1 more

Abstract read
In one paragraph

Article in Carbon balance and management, 2025. 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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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Minghong PengSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China.
Ye YangYibin Institute of Urban and Rural Planning, No.1, Daxue Road, Cuiping District, Yibin City, Sichuan Province, China.
Yuanjie DengSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China.
Dingdi JizeSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China.
Hang ChenSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China.
Yifeng HaiSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China.
Guojie LiuYibin Institute of Urban and Rural Planning, No.1, Daxue Road, Cuiping District, Yibin City, Sichuan Province, China.
Haijun WangSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China.
Tianhui XieSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China.
Hu LiSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China.
Ji LuoSchool of Economics, Sichuan University of Science & Engineering, Zigong, 643000, PR China. ecopy1231@163.com.

Funding

Key Laboratory of Philosophy and Social Sciences in Sichuan Province - Key Laboratory for Intelligent Management and Ecological Decision Optimization of Baijiu in the Upper Reaches of the Yangtze River No. zdsys-02Open Fund of sichuan Oil and Gas Development Research Center No. 2024SY005Opening Fund of Sichuan Key Provincial Research Base of Intelligent Tourism No. ZHYR24-01State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation No. CDUT-PLC04Tuojiang River Basin High-quality Development Research Center TJGZL2025-08
6 · The paper itself

Abstract

Alterations in land use and land cover (LUCC) play a fundamental role in influencing the variability of ecosystem carbon storage. Evaluating how land use dynamics affect carbon sequestration and projecting future carbon storage scenarios are essential steps toward meeting China's dual carbon objectives. In this study, we integrated the Patch-generating Land Use Simulation (PLUS) model with the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) framework to investigate LUCC dynamics and their implications for carbon storage across the Upper Yangtze River Basin (UYRB) between 2000 and 2020. Furthermore, projections of regional carbon storage were made under multiple Grain-for-Green Programme (GFGP) scenarios extending to the year 2040. Our findings indicated that cultivated land (CL), forest land (FL), and grassland (GL) consistently dominated land use composition within the UYRB, collectively occupying approximately 96.45% of the total area throughout 2000-2020. During this period, construction land (CSL) steadily expanded, primarily at the expense of CL. Both CL and GL experienced substantial reductions. Spatially, carbon storage exhibited a decreasing gradient from east to west, with the Jinsha River Basin exhibiting the greatest levels. Carbon storage values over the two decades were recorded at 6.387 × 10¹⁰ t in 2000, 6.382 × 10¹⁰ t in 2005, 6.379 × 10¹⁰ t in 2010, 6.369 × 10¹⁰ t in 2015, and 6.373 × 10¹⁰ t in 2020. Despite a slight recovery between 2015 and 2020, total carbon storage fell by 0.23% (1.438 × 10

Indexed as

Carbon storageGrain-for-Green ProgrammeLand use/Cover changesPLUS-InVEST modelUpper Yangtze River Basin

Identifiers

PMID40739445
PMCPMC12312590

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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.