Spatial-temporal evolution of land ecological health and influencing factors in China's ecological civilization pilot area

It is crucial to assess the land ecosystem health (LEH) in China’s national pilot zones (NPZ) for ecological conservation and identify the primary factors that impact it. This is crucial for developing China’s ecological civilization and fostering sustainable, eco-friendly economic development. The study utilizes the pressure-state-response (PSR) and environment-economy-society (EES) model, relying on the panel data of 11 cities of Jiangxi in the NPZ for ecological conservation from 2005 to 2020, measuring the LEH in the national ecological civilization pilot zone using the comprehensive index evaluation method. The main contribution of this study is to optimize the land ecological health index system, construct an improved PSR-NES theoretical model that is more suitable for NPZ, reveal the spatial and temporal evolution characteristics of LEH in NPZ from the city scale, and refine the key driving factors. Results show that (1) The LEH exhibited a general shift from a state of “less healthy” level to the “healthier” level; (2) Differences in LEH evolution in different cities. The overall trend of “north to south and east to west” is gradually improving. (3) Urbanization has a strong role in the promotion of LEH, and economic development shows a significant dampening effect.

Authors

Institutions

Publication Details

Journal
Journal of Environmental Engineering and Landscape Management
Published
2025-06-11
DOI
https://doi.org/10.3846/jeelm.2025.24105
Citations
2
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
8.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial-temporal evolution of land ecological health and influencing factors in China's ecological civilization pilot area

Zhenggen Fan, Binghua Liu, Peng Zhong
2 citations
Journal of Environmental Engineering and Landscape Management
Regional Development and Environment
8.40
article

Spatial-temporal evolution of land ecological health and influencing factors in China's ecological civilization pilot area

Zhenggen Fan, Binghua Liu, Peng Zhong
article en
2 citations

Abstract

It is crucial to assess the land ecosystem health (LEH) in China’s national pilot zones (NPZ) for ecological conservation and identify the primary factors that impact it. This is crucial for developing China’s ecological civilization and fostering sustainable, eco-friendly economic development. The study utilizes the pressure-state-response (PSR) and environment-economy-society (EES) model, relying on the panel data of 11 cities of Jiangxi in the NPZ for ecological conservation from 2005 to 2020, measuring the LEH in the national ecological civilization pilot zone using the comprehensive index evaluation method. The main contribution of this study is to optimize the land ecological health index system, construct an improved PSR-NES theoretical model that is more suitable for NPZ, reveal the spatial and temporal evolution characteristics of LEH in NPZ from the city scale, and refine the key driving factors. Results show that (1) The LEH exhibited a general shift from a state of “less healthy” level to the “healthier” level; (2) Differences in LEH evolution in different cities. The overall trend of “north to south and east to west” is gradually improving. (3) Urbanization has a strong role in the promotion of LEH, and economic development shows a significant dampening effect.

Journal of Environmental Engineering and Landscape ManagementVol. 33(2)
Jiangxi Normal University (CN)
Openalex Percentile: Top 3%
Regional Development and Environment
8.40
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.