Long Time-Series Monitoring and Drivers of Eco-Quality in the Upper-Middle Fen River Basin of the Eastern Loess Plateau: An Analysis Based on a Remote Sensing Ecological Index and Google Earth Engine DOI Creative Commons
Yanan He,

Baoying Ye,

Juan He

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2239 - 2239

Published: Dec. 20, 2024

Healthy watershed environments are essential for socioeconomic sustainability. The long-term monitoring and assessment of ecological provide a timely accurate understanding ecosystem dynamics, informing industry policy adjustments. This study focused on the upper-middle Fen River Basin (UMFRB) in eastern China’s Loess Plateau analyzed spatial temporal characteristics eco-quality from 2000 to 2023 by calculating remote sensing index (RSEI) via Google Earth Engine (GEE) platform. In addition, this also explored trends future consistency RSEI, as well impacts natural anthropogenic factors RSEI variations. findings revealed that (1) average value increased 0.51 0.57 over past 24 years, reflecting an overall improvement eco-quality, although urban centers Taiyuan exhibited localized degradation. (2) Hurst was 0.468, indicating anti-consistency, with most regions showing decline or exhibiting stochastic fluctuations. (3) Elevation, temperature, precipitation, slope, land use intensity significantly correlated quality. Natural dominate densely vegetated regions, whereas populated plains. These results valuable guidance formulating targeted restoration measures, protection policies, engineering solutions.

Language: Английский

Nonlinear response and driving mechanisms of ecological restoration project effectiveness to drought DOI Creative Commons
Xin Liu, Qi Wang, Xiaoyu Zhu

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113055 - 113055

Published: Jan. 1, 2025

Language: Английский

Citations

1
The response of ecosystem services to ecological spatial network patterns in China’s arid and semi-arid regions DOI Creative Commons
Yu Wang, Qiang Yu,

Buyanbaatar Avirmed

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113300 - 113300

Published: March 1, 2025

Language: Английский

Citations

0
Earlier vegetation green-up is intensifying hydrological drought in the Tianshan Mountain basins DOI
Lilin Zheng, Ruishan Chen, Jianhua Xu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102321 - 102321

Published: March 22, 2025

Language: Английский

Citations

0
Long Time-Series Monitoring and Drivers of Eco-Quality in the Upper-Middle Fen River Basin of the Eastern Loess Plateau: An Analysis Based on a Remote Sensing Ecological Index and Google Earth Engine DOI Creative Commons
Yanan He,

Baoying Ye,

Juan He

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2239 - 2239

Published: Dec. 20, 2024

Healthy watershed environments are essential for socioeconomic sustainability. The long-term monitoring and assessment of ecological provide a timely accurate understanding ecosystem dynamics, informing industry policy adjustments. This study focused on the upper-middle Fen River Basin (UMFRB) in eastern China’s Loess Plateau analyzed spatial temporal characteristics eco-quality from 2000 to 2023 by calculating remote sensing index (RSEI) via Google Earth Engine (GEE) platform. In addition, this also explored trends future consistency RSEI, as well impacts natural anthropogenic factors RSEI variations. findings revealed that (1) average value increased 0.51 0.57 over past 24 years, reflecting an overall improvement eco-quality, although urban centers Taiyuan exhibited localized degradation. (2) Hurst was 0.468, indicating anti-consistency, with most regions showing decline or exhibiting stochastic fluctuations. (3) Elevation, temperature, precipitation, slope, land use intensity significantly correlated quality. Natural dominate densely vegetated regions, whereas populated plains. These results valuable guidance formulating targeted restoration measures, protection policies, engineering solutions.

Language: Английский

Citations

0