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...

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Published inJournal of environmental engineering and landscape management Vol. 33; no. 2; pp. 259 - 272
Main Authors Fan, Zhenggen, Liu, Binghua, Zhong, Peng
Format Journal Article
LanguageEnglish
Published Vilnius Gediminas Technical University 11.06.2025
Subjects
Analysis
China
Economic development
Ecosystems
influencing factors
Jiangxi Province
land ecosystem health
national pilot zones for ecological conservation
Natural resources
spatial-temporal evolution
sustainable
Urbanization
China
influencing factors
land ecosystem health
Jiangxi Province
sustainable
spatial-temporal evolution
national pilot zones for ecological conservation
Online AccessGet full text
ISSN1648-6897
1822-4199
DOI10.3846/jeelm.2025.24105

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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.
AbstractList 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.
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. Keywords: land ecosystem health, spatial-temporal evolution, influencing factors, national pilot zones for ecological conservation, sustainable, Jiangxi Province.
Audience Academic
Author Fan, Zhenggen
Liu, Binghua
Zhong, Peng
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Issue 2
Keywords influencing factors
land ecosystem health
Jiangxi Province
sustainable
spatial-temporal evolution
national pilot zones for ecological conservation
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Snippet 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...
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...
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SubjectTerms Analysis
China
Economic development
Ecosystems
influencing factors
Jiangxi Province
land ecosystem health
national pilot zones for ecological conservation
Natural resources
spatial-temporal evolution
sustainable
Urbanization
Title Spatial-temporal evolution of land ecological health and influencing factors in China's ecological civilization pilot area
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