Evidence map›Paper›PMID 41253964›Full record

ArticleScientific reports2025

Analyzing and predicting the effects of urban spatial planning on the gradient differentiation of production-living-ecological land and carbon storage.

Fengshuo Yang, Zhihua Wang, Xiaomei Yang, Yingjun Sun, Qi Wang, Xinju Yu

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. Not yet cited in PubMed.

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1 · What the graph read from it

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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

6 authors.

Fengshuo YangSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China. yangfengshuo20@sdjzu.edu.cn.
Zhihua WangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Xiaomei YangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. yangxm@lreis.ac.cn.
Yingjun SunSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.
Qi WangSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.
Xinju YuSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China.

Funding

Shandong Provincial Natural Science Foundation ZR2021QD128
6 · The paper itself

Abstract

Carbon storage (CS) of terrestrial ecosystems is strongly associated with space utilization changes. However, effects of urban spatial planning on the spatio-temporal heterogeneity of production-living-ecological land (PLEL) and CS remain unclear. To bridge this gap, we developed a new PGIP framework that combines PLEL theory, gradient analysis, the InVEST model, and the PLUS model. This integrated approach offers a comprehensive tool for assessing and simulating how urban planning influences CS. We applied this framework in Jinan, China, where we defined four urban gradient zones to examine the gradient differentiation of PLEL and CS. By integrating dynamic driving factors and urban spatial planning, the PLEL and CS in 2030 were simulated under different scenarios. Results revealed significant gradient-based variations in PLEL between 1980 and 2020. The urban living land (ULL) within 10 km of the city center increased by 117.60%. The CS has decreased by 8.14 × 10⁶ t, and the spatial heterogeneity of CS in the southeastern gradient zone was the strongest. More than 50% of the rise in CS resulted from the shift of rural living land to cultivated production land (CPL), while over 41% of the decrease in CS was caused by the conversion of CPL to ULL. By 2030, urban spatial planning is projected to significantly affect CS pattern, especially in downtown, far suburban, and southeastern gradient zone. Compared with unconstrained development scenario, under spatial planning-guided scenario, high-value clusters of CS will increase by 14.86 km

Indexed as

Carbon storageGradient differentiationProduction–living–ecological landScenario simulationUrban spatial planning

Identifiers

PMID41253964
PMCPMC12627826

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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.