Effect of Topographic Factors on Ecological Environment Quality in the Red Soil Region of Southern China: A Case from Changting County DOI Open Access

Junming Chen,

Guangfa Lin,

Zhibiao Chen

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1501 - 1501

Published: Feb. 12, 2025

The evaluation of ecological environment quality (EEQ) is an important method to determine regional eco-environment status, and topography, as one the key factors affecting eco-environment, has impact on EEQ by influencing hydrothermal conditions. However, research effect topography still needs be strengthened, especially in red soil region southern China. Therefore, based for Changting County using remote sensing index (RSEI) combined with Landsat images from 2000 2019, effects were analyzed further. main findings indicated, firstly, that average values topographic increased grade raised; secondly, distribution gradually moved lower terrain factor categories declined each study period whole; thirdly, coupling any two was greater than a single factor, aspect elevation position (TPI) most prominent. can enhance understanding variability EEQ.

Language: Английский

The difference in ecological environmental quality impact factors between human activity zone and non-human activity zone in arid regions: A case study of the northern slope of the Tianshan Mountains DOI Creative Commons
Yu Cao, Jiayi Zhang, Zhengyong Zhang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113226 - 113226

Published: Feb. 1, 2025

Language: Английский

Citations

1
Analysis of the spatial pattern and causes of ecological environmental quality in Myanmar based on the RSEI model and the Geodetector-GCCM method DOI Creative Commons

Shuangfu Shi,

Shuangyun Peng,

Zhiqiang Lin

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 11, 2025

Facing the challenges brought about by global climate change and biodiversity loss, accurately assessing ecological environmental quality (EEQ), its driving factors are crucial for formulating effective strategies protection restoration. However, there remains limited understanding of interactions causal relationships between multiple factors, with existing studies mainly focusing on impact individual EEQ their correlations. This study took Myanmar as research area, employing a Remote Sensing Ecological Index (RSEI) model spatial autocorrelation analysis to quantitatively evaluate distribution characteristics Myanmar’s in 2020 reveal dependence. Furthermore, innovatively integrating Geodetector Geographical Convergent Cross Mapping (GCCM) methods, this systematically analyzed impacts various spatiotemporal differentiation EEQ. The results indicate that: (1) overall was relatively good, but is significant heterogeneity; (2) Local revealed clear clustering pattern Myanmar; (3) identified DEM, slope, Net Primary Productivity (NPP), land use, human footprint dominant influencing EEQ, among these factors; (4) GCCM further verified effects NPP, while temperature, precipitation, use weaker. established technical framework analyzing causes unveiling mechanisms evolution driven natural factors. It enriched human-environment within coupled systems delved into complex system. These insights enhanced our intricate providing valuable references sustainable development Myanmar.

Language: Английский

Citations

0
An ensemble learning framework for generating high-resolution regional DEMs considering geographical zoning DOI

Xiaoyi Han,

Chen Zhou, Saisai Sun

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2025, Volume and Issue: 221, P. 363 - 383

Published: Feb. 21, 2025

Language: Английский

Citations

0
Evaluation and Optimization Strategies for Forest Landscape Stability in Different Landform Types of the Loess Plateau DOI Creative Commons
Mei Zhang, Peng Liu,

Zhong Zhao

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1105 - 1105

Published: March 20, 2025

This study aims to develop a forest landscape stability assessment framework that integrates structure, function, and resilience assess under different landform types on the Loess Plateau, propose differentiated optimization strategies. Remote sensing images ground survey data were combined compare effectiveness of machine learning models in aboveground biomass (AGB) inversion. Meanwhile, fragmentation multifunctionality assessed, Landscape Stability Index (LSI) was proposed quantify regional stability. The main findings are as follows: (1) between 2000 2022, degree hilly gully region improved significantly, Simpson’s Diversity (SDI) value showed an increasing trend; plateau decreasing trend SDI value. higher significant changes, while more stable, with “Interior” “Dominant” dominating. (2) eXtreme Gradient Boosting model outperformed other AGB estimation, R2 = 0.81 RMSE 24.67 ton ha−1. (3) LSI generally increased, especially Yanchang, showing increase ecological stability; decreased, Baishui, weakening Based results, strategies for stabilities proposed, including hierarchical management fragmentation, multi-objective improve SDI, adaptive AGB. this can effectively landscapes, reveal differences restoration regions, provide new perspectives Plateau.

Language: Английский

Citations

0
Effect of Topographic Factors on Ecological Environment Quality in the Red Soil Region of Southern China: A Case from Changting County DOI Open Access

Junming Chen,

Guangfa Lin,

Zhibiao Chen

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1501 - 1501

Published: Feb. 12, 2025

The evaluation of ecological environment quality (EEQ) is an important method to determine regional eco-environment status, and topography, as one the key factors affecting eco-environment, has impact on EEQ by influencing hydrothermal conditions. However, research effect topography still needs be strengthened, especially in red soil region southern China. Therefore, based for Changting County using remote sensing index (RSEI) combined with Landsat images from 2000 2019, effects were analyzed further. main findings indicated, firstly, that average values topographic increased grade raised; secondly, distribution gradually moved lower terrain factor categories declined each study period whole; thirdly, coupling any two was greater than a single factor, aspect elevation position (TPI) most prominent. can enhance understanding variability EEQ.

Language: Английский

Citations

0