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

Identifying regional eco-environment quality and its influencing factors: A case study of an ecological civilization pilot zone in China DOI
Xinmin Zhang, Houbao Fan, Lu Sun

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 435, P. 140308 - 140308

Published: Dec. 19, 2023

Language: Английский

Citations

25
Ecological health assessment of Tibetan alpine grasslands in Gannan using remote sensed ecological indicators DOI Creative Commons
Zeyu Du, Xibin Ji, Jane Liu

et al.

Geo-spatial Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: March 21, 2024

Ecosystem health assessments are crucial to protect the ecological environment and ensure sustainable functions of alpine ecoregions. At present, few studies evaluating ecosystem Gannan grassland, China, an ecologically fragile area, based on a remote sensing theoretical framework exist. As such, this study assessed grassland Remote Sensing-based Ecological Index (RSEI) provided comparative analysis RSEI Gross Primary Productivity (GPP), extending their spatiotemporal patterns influencing factors. The results suggested that GPP showed strong comparability in sense, with better reflecting changes than GPP. Overall, was good (RSEI 0.61–0.76) slow, fluctuating upward trend seen from 2000 = 0.66) 2020 0.72). Notably, high south low north region. Over past 21 years, 43.92% healthy southwest has been degrading, while poor 39.04% grasslands southeast northeast improved. model test show could reasonably evaluate grassland. Our assessment provide important scientific data information monitoring targeted restoration efforts

Language: Английский

Citations

11
Quantifying the Impact and Importance of Natural, Economic, and Mining Activities on Environmental Quality Using the PIE-Engine Cloud Platform: A Case Study of Seven Typical Mining Cities in China DOI Open Access
Jianwen Zeng,

Xiaoai Dai,

Wenyu Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1447 - 1447

Published: Feb. 8, 2024

The environmental quality of a mining city has direct impact on regional sustainable development and become key indicator for assessing the effectiveness national policies. However, against backdrop accelerated urbanization, increased demand resource development, promotion concept ecological civilization, cities are faced with major challenge balancing economic protection. This study aims to deeply investigate spatial temporal variations its driving mechanisms mineral resource-based cities. utilizes wide coverage multitemporal capabilities MODIS optical thermal infrared remote sensing data. It innovatively develops index (RSEI) algorithm PIE-Engine cloud platform quickly obtain RSEI, which reflects environment. evolution characteristics in seven typical China from 2001 2022 were analyzed. Combined vector mine surface data, variability impacts activities environment quantitatively separated explored. In particular, taken into account by creating buffer zones zoning statistics analyze response relationship between RSEI these factors, including distance area percentage area. addition, drivers 2019 analyzed through Pearson correlation coefficients pixel 10 natural, economic, mining. Regression modeling was performed using random forest (RF) model, ranked order importance factor assessment. results showed that (1) changed significantly during period, negative significant. (2) areas low values closely related (3) generally lower than average level gradually as site increased. (4) increase size initially exacerbates environment, but is weakened beyond certain threshold. (5) most important affecting followed DEM, GDP, precipitation. great advancing formulating strategies.

Language: Английский

Citations

9
Land use and RSEI spatial-temporal changes in Horqin Sandland (Inner Mongolia, China) DOI
Z. Wang, Yang Yu, Yiben Cheng

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1
Climate warming positively affects hydrological connectivity of typical inland river in arid Central Asia DOI Creative Commons

Chuanxiu Liu,

Yaning Chen, Wenjing Huang

et al.

npj Climate and Atmospheric Science, Journal Year: 2024, Volume and Issue: 7(1)

Published: Oct. 17, 2024

Hydrological connectivity is crucial for understanding water-ecosystem dynamics, as it serves a key link between different landscape units. However, the variability of hydrological in Central Asia remains unexplored, which poses challenges to comprehensive ecohydrological processes. This study investigates spatiotemporal patterns and driving mechanisms Tarim River Basin (TRB), Asia, from 1990 2020, employing novel approach that integrates remote sensing reanalysis data. The results indicate an increasing trend index (HCI), with approximately 60% TRB exhibiting significant increases. Climate change exerts greatest direct (0.59) total (0.64) effects on HCI, potential evapotranspiration (19.2%) temperature (12.6%) being dominant factors. In mountainous regions, climate (0.65) primary driver, while human activities have greater impact plains (−0.27). These findings offer new framework studying processes arid regions.

Language: Английский

Citations

8
Coupling eco-environmental quality and ecosystem services to delineate priority ecological reserves—A case study in the Yellow River Basin DOI

Yangjing Xu,

Xiuchun Yang,

Xiaoyu Xing

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121645 - 121645

Published: July 2, 2024

Language: Английский

Citations

7
Analysis of the spatiotemporal dynamics and driving factors of ecosystem quality in Inner Mongolia from 2005 to 2020 DOI Creative Commons
Mengyuan Li, Xiaobing Li, Siyu Liu

et al.

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: 35, P. 103686 - 103686

Published: May 27, 2024

Enhancing ecosystem quality is a necessary part of establishing ecological civilization. The study requires the development comprehensive evaluation indices. existing simple remote sensing indices are insufficient for achieving and systematic quality. Therefore, we constructed an index based on landscape pattern, stability, services. spatiotemporal dynamics in Inner Mongolia were analyzed over period from 2005 to 2020. Moreover, geographically weighted regression model was used investigate factors influencing variations main results as follows. (1) spatial distribution exhibited gradual decline northeast southwest. In contrast, temporal analysis revealed general increase (2) Climate significant factor heterogeneity variability Socioeconomic factors, population density livestock numbers had notable impacts quality, respectively. (3) Mongolia, temperature showed positive correlation northeastern region, but negative central western regions. findings offer valuable support local policymakers making informed decisions regarding targeted management. Furthermore, our provide governments with insights enhancing regional ecosystems by taking into account specific conditions area.

Language: Английский

Citations

5
Climate change enhances greening while human activities accelerate degradation in northern China's grasslands DOI
Feifei Cao, Leizhen Liu,

Yu-ping Rong

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 966, P. 178570 - 178570

Published: Feb. 1, 2025

Language: Английский

Citations

0
Unstable changes in ecological quality of the four major sandy lands in northern China based on Google Earth Engine DOI Creative Commons

Haowen Ma,

Yongfang Wang,

Enliang Guo

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113195 - 113195

Published: Feb. 1, 2025

Language: Английский

Citations

0
The Combined Effects of Topography and Climate Factors Dominate the Spatiotemporal Evolution of the Ecological Environment in the Yangtze River Economic Belt DOI Open Access

Shouhai Shi,

Hua Qiu, Shunping Ji

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

ABSTRACT The Yangtze River Economic Belt (YREB) is a key eco‐environmental protection barrier and economic engine in China. Understanding the characteristics of its spatiotemporal evolution mechanisms driving these changes important for revealing shifts ecosystem structure function. However, governing elements ecological environment how components interact remain unclear due to strong coupling impact urbanization climate change. This paper constructed long‐term series remote sensing based index (RSEI) evaluate variation YREB during 2000–2024. Subsequently, fundamental reasons were quantitatively analyzed using optimal parameters‐based geographical detector (OPGD). Results indicated: (1) average RSEI was 0.68, indicating rather high overall quality (EEQ), with 73% region having values more than 0.60. regions excellent conditions concentrated Zhejiang, Jiangxi, Guizhou, Hunan, while poorer areas northwestern Yunnan, southwestern Sichuan, western Hubei. (2) EEQ mainly showed degradation trend, degraded exceeding 80% over past 25 years. In future, most might face higher risks degradation. (3) Digital elevation model (DEM), temperature (Tem), population (POP) factors environment. There significant interactions between certain factors, interaction DEM potential evapotranspiration (Pet) explaining 62.2% distribution. findings assisted creation an civilization by offering policy proposals managing conserving environments.

Language: Английский

Citations

0