Asymmetry between ecosystem health and ecological quality from an Earth observation perspective

Ecological quality (EQ) and ecosystem health (EH) are closely related. Previous studies haven't addressed their spatial relationships fully; therefore, whether there is spatial consistency between the two remains unclear. In this study, the EQ and EH of the Mekong River Basin (MRB), located in Southeast Asia, were determined by applying the Remote Sensing Ecological Index (RSEI) and Vigor, Organization, Resilience, and Services (VORS) models, and a spatial comparative analysis was conducted. The results showed that the EQ (RSEI_mean = 0.56) and EH (EHI_mean = 0.59) had high degrees of consistency. However, some degree of differences in the EQ and EH in certain land use types, such as grassland (RSEI_mean = 0.46; EHI_mean = 0.57) and cropland (RSEI_mean = 0.41; EHI_mean = 0.47), may have been influenced by the selection of ecosystem service types prioritized by the VORS model. In addition, there were significant differences in some areas with relatively high elevations, especially in barren land areas (RSEI_mean = 0.61; EHI_mean = 0.23), showing significant spatial asymmetry. The correlation coefficient between EQ and EH increases significantly from 0.62 to 0.72 after excluding high altitude areas. These results indicate that spatial analysis of the relationship between the EQ and EH is probably applicable to natural environments with relatively low altitudes and less human activity.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-03-24
DOI
https://doi.org/10.1038/s41598-025-94717-4
Citations
4
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
4.42

Funders

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

Asymmetry between ecosystem health and ecological quality from an Earth observation perspective

Hangnan Yu, Meng Yuan, Jiapeng Xiong, Lan Li et al.
4 citations
Scientific Reports
Land Use and Ecosystem Services
4.42
article

Asymmetry between ecosystem health and ecological quality from an Earth observation perspective

Hangnan Yu, Meng Yuan, Jiapeng Xiong, Lan Li, Jiangtao Yu
article en
4 citations

Abstract

Ecological quality (EQ) and ecosystem health (EH) are closely related. Previous studies haven't addressed their spatial relationships fully; therefore, whether there is spatial consistency between the two remains unclear. In this study, the EQ and EH of the Mekong River Basin (MRB), located in Southeast Asia, were determined by applying the Remote Sensing Ecological Index (RSEI) and Vigor, Organization, Resilience, and Services (VORS) models, and a spatial comparative analysis was conducted. The results showed that the EQ (RSEI_mean = 0.56) and EH (EHI_mean = 0.59) had high degrees of consistency. However, some degree of differences in the EQ and EH in certain land use types, such as grassland (RSEI_mean = 0.46; EHI_mean = 0.57) and cropland (RSEI_mean = 0.41; EHI_mean = 0.47), may have been influenced by the selection of ecosystem service types prioritized by the VORS model. In addition, there were significant differences in some areas with relatively high elevations, especially in barren land areas (RSEI_mean = 0.61; EHI_mean = 0.23), showing significant spatial asymmetry. The correlation coefficient between EQ and EH increases significantly from 0.62 to 0.72 after excluding high altitude areas. These results indicate that spatial analysis of the relationship between the EQ and EH is probably applicable to natural environments with relatively low altitudes and less human activity.

Scientific ReportsVol. 15(1)
Harbin Normal University (CN), Yanbian University (CN)
Natural Science Foundation of Jilin Province, National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 6%
Land Use and Ecosystem Services
4.42
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.