A Health Assessment of Terrestrial Ecosystems in China Based on the Adaptive Indicator Reduction Method

Assessing terrestrial ecosystem health in China is crucial for guiding national economic strategies and ecological conservation. To address the lack of a unified national evaluation system, this study integrates the Pressure–State–Response (PSR) and Ecological Hierarchy frameworks to construct a five-layer network index system. A novel two-stage adaptive indicator reduction model is proposed, one which combines the TOPSIS method with an objective optimization model to select key indicators tailored to different ecoregions. Using this model, we evaluated the spatiotemporal dynamics of ecosystem health across China from 2001 to 2021. The results demonstrate the following: (1) The selected indicators effectively reflect regional ecological characteristics, with higher-weighted indicators aligning widely with the existing literature, demonstrating the system’s scientific validity and rationality. (2) Ecosystem health exhibits significant spatial variability, generally higher in the southeast and lower in the northwest. Over 21 years, health status remained relatively stable, with the improved areas (4.21%) primarily being located west of the Heihe–Tengchong line and north of the Qinling–Huaihe line, and exceeding the degraded areas.

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Publication Details

Journal
Remote Sensing
Published
2026-03-04
DOI
https://doi.org/10.3390/rs18050786
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00

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article

A Health Assessment of Terrestrial Ecosystems in China Based on the Adaptive Indicator Reduction Method

X. Wang, Mengjing Lin, Dong Wang, Jianhui Chen
Remote Sensing
Land Use and Ecosystem Services
article

A Health Assessment of Terrestrial Ecosystems in China Based on the Adaptive Indicator Reduction Method

X. Wang, Mengjing Lin, Dong Wang, Jianhui Chen
article en

Abstract

Assessing terrestrial ecosystem health in China is crucial for guiding national economic strategies and ecological conservation. To address the lack of a unified national evaluation system, this study integrates the Pressure–State–Response (PSR) and Ecological Hierarchy frameworks to construct a five-layer network index system. A novel two-stage adaptive indicator reduction model is proposed, one which combines the TOPSIS method with an objective optimization model to select key indicators tailored to different ecoregions. Using this model, we evaluated the spatiotemporal dynamics of ecosystem health across China from 2001 to 2021. The results demonstrate the following: (1) The selected indicators effectively reflect regional ecological characteristics, with higher-weighted indicators aligning widely with the existing literature, demonstrating the system’s scientific validity and rationality. (2) Ecosystem health exhibits significant spatial variability, generally higher in the southeast and lower in the northwest. Over 21 years, health status remained relatively stable, with the improved areas (4.21%) primarily being located west of the Heihe–Tengchong line and north of the Qinling–Huaihe line, and exceeding the degraded areas.

Remote SensingVol. 18(5)
Minjiang University (CN), Fuzhou University (CN)
Chinese Academy of Sciences
Life in Land
Openalex Percentile: Top 47%
Land Use and Ecosystem Services
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A Health Assessment of Terrestrial Ecosystems in China Based on the Adaptive Indicator Reduction Method — X. Wang, Mengjing Lin, et al. · Remote Sensing (2026) | TGRS Research Map | TGRS