Spatiotemporal Variations and Driving Factors of Ecological Sensitivity in the West Qinling Mountains, China, Under the Optimal Scale DOI Open Access

Qiqi Zhao,

Xuelu Liu,

Yingying Wu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9595 - 9595

Published: Nov. 4, 2024

This study selected the five indicators of soil erosion, climate environment, geological hazards, biodiversity, and human disturbances uses entropy weight method to calculate ecological sensitivity West Qinling Mountains from 2000 2020. The analysis produced a spatiotemporal distribution over 20-year period. An equal step size 500 m was used progressively increase spatial scale 6 km. optimal for differentiation in determined by analyzing characteristics changes at different scales, response mechanisms, parameters geographical detector identification. Based on this scale, change intensity pattern influencing factors were analyzed. results show following: (1) 5.5 km balances requirements accuracy, heterogeneity, data adequacy, making it variation patterns Mountains. (2) From 2020, mean exhibited decreasing trend, indicating an improvement environment. Spatially, showed “low west high east, low south north”. During period, region remained generally stable, with no high-frequency observed. (3) Population density is primary driving factor Mountains, while GDP serves as secondary factor. Overall, socioeconomic have most significant impact sensitivity. (4) Over 75% trends exhibit perennial unchanged fluctuating trends, areas smaller than decrease. Regions are primarily concentrated northeastern part increased fluctuation mainly located western southern parts Future efforts should focus these regions.

Language: Английский

Projecting Future Wetland Dynamics Under Climate Change and Land Use Pressure: A Machine Learning Approach Using Remote Sensing and Markov Chain Modeling DOI Creative Commons

Penghao Ji,

Rong Jun Su, Guodong Wu

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1089 - 1089

Published: March 20, 2025

Wetlands in the Yellow River Watershed of Inner Mongolia face significant reductions under future climate and land use scenarios, threatening vital ecosystem services water security. This study employs high-resolution projections from NASA’s Global Daily Downscaled Projections (GDDP) Intergovernmental Panel on Climate Change Sixth Assessment Report (IPCC AR6), combined with a machine learning Cellular Automata–Markov (CA–Markov) framework to forecast cover transitions 2040. Statistically downscaled temperature precipitation data for two Shared Socioeconomic Pathways (SSP2-4.5 SSP5-8.5) are integrated satellite-based (Landsat, Sentinel-1) 2007 2023, achieving high classification accuracy (over 85% overall, Kappa > 0.8). A Maximum Entropy (MaxEnt) analysis indicates that rising temperatures, increased variability, urban–agricultural expansion will exacerbate hydrological stress, driving substantial wetland contraction. Although certain areas may retain or slightly expand their wetlands, dominant trend underscores urgency spatially targeted conservation. By synthesizing data, multi-temporal transitions, ecological modeling, this provides insights adaptive resource planning management ecologically sensitive regions.

Language: Английский

Citations

3
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
How human activities affect and reduce ecological sensitivity under climate change: Case study of the Yangtze River Economic Belt, China DOI

Wei Yaqian,

Min An, Jin Huang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 472, P. 143438 - 143438

Published: Aug. 23, 2024

Language: Английский

Citations

8
Construction of Ecological Security Patterns Incorporating Multiple Types of Ecological Service Functions for Developed Coastal Regions: A Case Study in Jinjiang Watershed, China DOI Creative Commons
Yuchen Zhu, Yaci Liu, Yong Xiao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1227 - 1227

Published: Aug. 7, 2024

An ecological security pattern is an essential natural solution for promoting the coordinated and sustainable development of urban growth environment within a given region. This study aims to develop comprehensive (ESP) Jinjiang watershed by integrating multiple service functions: regulation, eco-product provisions, human settlement services. Using well-established methodology “source identification—resistance surface construction—ecological corridor extraction”, we identified 322 source areas delineated 321 corridors spanning 1941.67 km, with key connecting regulation sources ordinary primarily linking provisions sources. Our results show that northern hilly regions are significant Anxi County services scattered across river valleys. integration enhances regional sustainability provides model similar coastal globally. findings offer scientific guidance balancing preservation, contributing worldwide.

Language: Английский

Citations

5
Social-ecological system sustainability in China from the perspective of supply-demand balance for ecosystem services DOI

Jiawang Zhang,

Ming Wang, Kai Liu

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145039 - 145039

Published: Feb. 1, 2025

Language: Английский

Citations

0
Construction and optimization of ecological security patterns in Chinese black soil areas considering ecological importance and vulnerability DOI Creative Commons

Baolong Chen,

Xuan Liu,

Jiping Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 9, 2025

As important guarantees of national food security, black soil regions have faced many ecological problems in recent years, such as erosion and salinization, which threaten the sustainable development agriculture security. This study explores dynamic changes security pattern China's region a time series proposes corresponding optimization suggestions on basis characteristics these changes. Taking 2002, 2012 2022 nodes, we identified source areas through analyses ecosystem service value sensitivity then constructed corridors by combining minimum cumulative resistance (MCR) model circuit theory. The findings are follows: (1) Ecosystem functions exhibit spatial higher values east lower west, with decreasing annually. Although number has decreased, their total area increased. (2) but length fluctuated, stepping stones significantly (3) On results this study, "point-line-polygon-network" strategy is proposed, includes constructing belts, strengthening barriers, restoring connectivity nodes to improve regional stability sustainability, providing policymakers scientific guidance.

Language: Английский

Citations

0
Identifying the spatio-temporal evolution and driving mechanisms of ecosystem service value in high groundwater table coal mining areas DOI

Bao Xinyi,

Guo Qingbiao,

Wu Songbo

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(5)

Published: April 23, 2025

Language: Английский

Citations

0
Quantitative attribution analysis of water and sediment changes in the Lower Yellow River (1950–2022) under the influence of climate change and human activities DOI

Yihao Wen,

Haijue Xu, Jinliang Zhang

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(9)

Published: April 25, 2025

Language: Английский

Citations

0
Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China DOI Creative Commons

Qingxia Peng,

Dongqing Wu,

Wenxiong Lin

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 4554 - 4554

Published: May 25, 2024

Human actions have led to consistent and profound alterations in land use, which turn had a notable effect on the services provided by ecosystems. In this research, Google Earth Engine (GEE) was initially employed perform supervised classification of Landsat satellite images from 2000 2020, allowed us obtain land-use data for Putian City, China. Next, geo-informatic Tupu model revised valuation were used explore spatial attributes ecological effects changes (LUCs). Subsequently, EEH (eco-economic harmony), ESTD (ecosystem tradeoffs synergies degree index), ESDA (exploratory analysis) methods further analyze coordination level, trade-offs, synergies, patterns ecological-economic system development. The findings revealed that: (1) composition City predominantly cultivated forest land, with other types intermixed. Concurrently, there an ongoing trend expansion urban areas. (2) ESV exhibited upward trend, increasing 15.4 billion CNY 23.1 2020. (3) imbalance distribution, high-high agglomeration areas concentrated central part coastal region Hanjiang District, while low-low prevalent Xianyou County southwest, Xiuyu District along coast, Licheng center. (4) Synergistic relationships among ESs predominated, though trade-off relationship showed tendency expand. (5) environment economic progress collectively faced potential risk. study are intended serve as guide improving distribution resources developing strategies that ensure sustainable development region’s socio-economic framework.

Language: Английский

Citations

3
Spatial-temporal differentiation and influencing factors of ecosystem health in Three-River-Source national Park DOI Creative Commons
Yanqin Wang,

Huaju Xue,

Aiqing Li

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113183 - 113183

Published: Feb. 1, 2025

Language: Английский

Citations

0