Spatiotemporal Evolution and Driving Mechanism of Production–Living–Ecological Space from 1990 to 2020 in Hunan, Central China

China’s rapid economic growth has increased tensions between production, living, and ecological spaces (PLES), making sustainable land-use planning difficult. Therefore, PLES evolution and processes are a focus of current research. Remote sensing data with land-use transition matrices, centroid migration, standard deviation ellipses, spatial autocorrelation, and geographic detectors were used to study the dynamics of PLES in Hunan Province from 1990 to 2020, elucidate its mechanisms and main influencing factors, and provide a comprehensive understanding of its evolutionary characteristics. The main conclusions of our analysis are as follows: (1) Ecological space was the dominant land-use type, while production space increased, putting strain on natural areas. (2) Living space increased by 40.73% over three decades, mostly comprising manufacturing space, highlighting urban expansion. (3) Despite land-use changes, Loudi City’s PLES centroid remained central. (4) Standard deviation ellipses showed spatial shrinkage with directional stability, implying enhanced land usage within borders rather than outward growth. (5) The geographic detector analysis showed that the GDP, population density, slope, and elevation influenced these spatial changes. Economic prosperity drove urban expansion, but the slope and elevation limited development to accessible locations. These findings provide policymakers with essential information for balancing urbanization and ecological preservation and provide a case study for sustainable PLES design in rapidly developing regions.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-02-18
DOI
https://doi.org/10.3390/su17041703
Citations
3
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
3.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal Evolution and Driving Mechanism of Production–Living–Ecological Space from 1990 to 2020 in Hunan, Central China

Siliang Wu, Wenbo Mo, Nan Yang, Xuan Xiao et al.
3 citations
Sustainability
Land Use and Ecosystem Services
3.32
article

Spatiotemporal Evolution and Driving Mechanism of Production–Living–Ecological Space from 1990 to 2020 in Hunan, Central China

Siliang Wu, Wenbo Mo, Nan Yang, Xuan Xiao, En Li, Ruochen Zhang, Xi Liu
article en
3 citations

Abstract

China’s rapid economic growth has increased tensions between production, living, and ecological spaces (PLES), making sustainable land-use planning difficult. Therefore, PLES evolution and processes are a focus of current research. Remote sensing data with land-use transition matrices, centroid migration, standard deviation ellipses, spatial autocorrelation, and geographic detectors were used to study the dynamics of PLES in Hunan Province from 1990 to 2020, elucidate its mechanisms and main influencing factors, and provide a comprehensive understanding of its evolutionary characteristics. The main conclusions of our analysis are as follows: (1) Ecological space was the dominant land-use type, while production space increased, putting strain on natural areas. (2) Living space increased by 40.73% over three decades, mostly comprising manufacturing space, highlighting urban expansion. (3) Despite land-use changes, Loudi City’s PLES centroid remained central. (4) Standard deviation ellipses showed spatial shrinkage with directional stability, implying enhanced land usage within borders rather than outward growth. (5) The geographic detector analysis showed that the GDP, population density, slope, and elevation influenced these spatial changes. Economic prosperity drove urban expansion, but the slope and elevation limited development to accessible locations. These findings provide policymakers with essential information for balancing urbanization and ecological preservation and provide a case study for sustainable PLES design in rapidly developing regions.

SustainabilityVol. 17(4)
Hunan City University (CN)
Natural Science Foundation of Hunan Province
Openalex Percentile: Top 10%
Land Use and Ecosystem Services
3.32
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.