A Multi-Scenario Simulation and Driving Factor Analysis of Production–Living–Ecological Land in China’s Main Grain Producing Areas: A Case Study of the Huaihe River Eco-Economic Belt

The Huaihe River Eco-Economic Belt (HREEB) is a pivotal region in China’s national strategic planning. Land use in this region is crucial to improving ecological quality and ensuring food security. Using the PLUS model and Geodetector, we evaluated the contribution and interaction of 10 drivers to production–living–ecological land (PLEL) and performed multi-scenario simulations of PLEL. The results show that the following: (1) Ecological land is mainly affected by elevation (contribution value > 0.16 for forest, grassland, and water). Production land is influenced by topographic relief, elevation, and GDP per capita (contribution value > 0.13). Living land is driven by topographic relief, GDP per capita, elevation, and population density (contribution value > 0.13). Interaction analysis shows nonlinear or two-factor enhancement among factors. (2) Ecological land in the HREEB has a relatively stable spatial pattern. Simulation results indicate that ecological land will not exceed a 12% change in the next 50 years. (3) By 2075, simulations under various scenarios predict significant changes in land area. Compared with the natural development scenario, production land increased by 14.8% in the farmland protection scenario, and living land increased by 14.3% in the urban development scenario. This research is vital for managing and developing PLEL resources within the HREEB.

Authors

Institutions

Publication Details

Journal
Agriculture
Published
2025-02-06
DOI
https://doi.org/10.3390/agriculture15030349
Citations
5
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
5.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multi-Scenario Simulation and Driving Factor Analysis of Production–Living–Ecological Land in China’s Main Grain Producing Areas: A Case Study of the Huaihe River Eco-Economic Belt

Fei Guo, Junqiang Yao, Wenfeng Hu, Junhao Cheng et al.
5 citations
Agriculture
Land Use and Ecosystem Services
5.53
article

A Multi-Scenario Simulation and Driving Factor Analysis of Production–Living–Ecological Land in China’s Main Grain Producing Areas: A Case Study of the Huaihe River Eco-Economic Belt

Fei Guo, Junqiang Yao, Wenfeng Hu, Junhao Cheng, Xiaolong Jin, Mengtian Zheng
article en
5 citations

Abstract

The Huaihe River Eco-Economic Belt (HREEB) is a pivotal region in China’s national strategic planning. Land use in this region is crucial to improving ecological quality and ensuring food security. Using the PLUS model and Geodetector, we evaluated the contribution and interaction of 10 drivers to production–living–ecological land (PLEL) and performed multi-scenario simulations of PLEL. The results show that the following: (1) Ecological land is mainly affected by elevation (contribution value > 0.16 for forest, grassland, and water). Production land is influenced by topographic relief, elevation, and GDP per capita (contribution value > 0.13). Living land is driven by topographic relief, GDP per capita, elevation, and population density (contribution value > 0.13). Interaction analysis shows nonlinear or two-factor enhancement among factors. (2) Ecological land in the HREEB has a relatively stable spatial pattern. Simulation results indicate that ecological land will not exceed a 12% change in the next 50 years. (3) By 2075, simulations under various scenarios predict significant changes in land area. Compared with the natural development scenario, production land increased by 14.8% in the farmland protection scenario, and living land increased by 14.3% in the urban development scenario. This research is vital for managing and developing PLEL resources within the HREEB.

AgricultureVol. 15(3)
Fuyang Normal University (CN), China Meteorological Administration (CN), Land Consolidation and Rehabilitation Center (CN)
Sustainable cities and communities
Openalex Percentile: Top 5%
Land Use and Ecosystem Services
5.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.