Assessment of eco‐environmental changes along roads in the Qinghai‐Tibetan Plateau based on remote sensing data: A case study of the Sino‐Nepalese Transport Corridor DOI
Yaohang Sun, Gang Jin,

Liangsheng Zhao

et al.

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(11), P. 3552 - 3566

Published: May 20, 2024

Abstract Understanding the evolutionary patterns of ecological quality in transport corridor areas and their driving mechanisms is essential for maintaining regional sustainable development. However, an integrated assessment ecology plateau corridors still lacking. This study focuses on Sino‐Nepalese Transport Corridor (SNTC) comprehensively evaluates spatio‐temporal evolution eco‐environmental from 2000 to 2021 based remote sensing data quantifies explores potential factors. The results indicate significant spatial heterogeneity SNTC, with overall bipolar “northeast‐southwest” distribution pattern. area poor worse largest (32,471.75 km 2 ), accounting about 47.20% total distributed bare land Yarlung Tsangpo River valley. From 2021, showed initial decline then increase, a relatively gentle trend. increase index Region (I) 0.314 first 10 years 0.334 second years, 6.37%, was mainly attributed afforestation projects “One two tributaries Nature Reserve” region. SNTC influenced by multiple factors including human activities, climate, topography. Grazing intensity, population density, digital elevation model are main negative disturbance factors, while temperature, precipitation, gross domestic product, promote quality. In particular, partially offset impact activities. These will provide useful information understanding complex effects activities natural region formulating conservation policies.

Language: Английский

Spatiotemporal variations of water conservation and its influencing factors in the Qinghai Plateau, China DOI Creative Commons
Xin Yan,

Guangchao Cao,

Shengkui Cao

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 111047 - 111047

Published: Oct. 7, 2023

Language: Английский

Citations

16

Construction of ecological conservation pattern based on ecosystem services of Three River Headwaters, Western China DOI Creative Commons
Jian Xue,

Zongxing Li,

Feng Qi

et al.

Global Ecology and Conservation, Journal Year: 2023, Volume and Issue: 44, P. e02491 - e02491

Published: April 26, 2023

The Three River Headwaters (TRH) is located in the hinterland of Qinghai-Tibet Plateau, which birthplace Yellow River, Yangtze and Lancang has an extremely important ecological status. In this paper, we use InVEST model USLE equation to assess ecosystem services (ESs) TRH as well identify security pattern propose conservation pattern. results show that ESs had overall increasing trend from 1990 2020, with a cumulative increase 4% area Class III hotspots. Based on construction source minimum resistance surface TRH, total 262 corridors length 22437 km are identified. To improve protection Priority Protection Area (PPA), Consolidation Enhancement (CEA) Coordination Optimization (COA) divided. Next, originality PPA's complex fragile types should be protected, disturbance by human activities strictly prohibited. CEA accelerate establishment new mechanism cross-linkage among various departments deal difficult problems protection. COA combine unique resources develop green tourism leisure sightseeing pastoralism drive regional economic development.

Language: Английский

Citations

15

Sand fixation and human activities on the Qinghai-Tibet Plateau for ecological conservation and sustainable development DOI

Xiaohong Deng,

Heqiang Du,

Zongxing Li

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169220 - 169220

Published: Dec. 12, 2023

Language: Английский

Citations

13

Multifunctional evaluation and multiscenario regulation of non-grain farmlands from the grain security perspective: Evidence from the Wuhan Metropolitan Area, China DOI
Dan Huang,

Yanchi Lu,

Yaolin Liu

et al.

Land Use Policy, Journal Year: 2024, Volume and Issue: 146, P. 107322 - 107322

Published: Aug. 30, 2024

Language: Английский

Citations

6

Assessment of disaster mitigation capability oriented to typhoon disaster chains: A case study of Fujian Province, China DOI Creative Commons
Xiaoliu Yang, Xiaochen Qin, Xiang Zhou

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112621 - 112621

Published: Sept. 16, 2024

Language: Английский

Citations

6

Windbreak and sand fixation service flow simulation in the terminal lake basin of inland rivers in arid regions: A case study of the Aral Sea basin DOI

Yonglong Han,

Xiaofei Ma, Wei Yan

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 945, P. 174047 - 174047

Published: June 15, 2024

Language: Английский

Citations

5

Exploring the classification of China's ecosystem service networks and their driving factors based on current status and evolutionary trends DOI

Chaoyue Yu,

Jiahe Zhou, Zhengfeng Zhang

et al.

Applied Geography, Journal Year: 2024, Volume and Issue: 168, P. 103321 - 103321

Published: June 17, 2024

Language: Английский

Citations

5

Spatiotemporal heterogeneity and driving factors of ecosystem service relationships and bundles in a typical agropastoral ecotone DOI Creative Commons
Wei Dong, Xing Wu, Jianjun Zhang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111074 - 111074

Published: Oct. 21, 2023

Complex geographical environments and intensified human activities have induced significant spatiotemporal heterogeneity in ecosystem services (ESs) their relationships worldwide, especially agropastoral ecotones. Identifying the ecological socioeconomic driving factors of dynamics bundles among multiple ESs is essential for effective ecotone management restoration. Herein, five key ESs, including water yield (WY), carbon sequestration (CS), sand fixation (SF), soil conservation (SC), food production (FP), northern piedmont Yinshan Mountains (NPYM), a typical ecotone, were quantified from 1990 to 2018. Ecosystem service (ESBs) identified by K-means algorithm, trade-offs/synergies different each ESB investigated using Spearman's correlation analysis. Moreover, main ES ESBs detector model. Our results showed that NPYM exhibited high over last three decades, with WY, SC FP significantly improving time but CS SF slightly decreasing. Considering features spatial distribution, could be divided into four ESBs: grassland protection bundle (GPB), desertification control (DCB), agricultural (APB) forest (FCB). Although trade-offs between WY synergy occurred almost all ESBs, differences other observed ESBs. Generally, land use type was one dominant drivers most APB. However, climate, vegetation also played important roles various some bundles. substantial changes decades mainly due climatic factors. Overall, our indicated identifying provide useful guidance developing targeted zoning strategies

Language: Английский

Citations

12

Trade-Off and Synergy Relationships and Driving Factor Analysis of Ecosystem Services in the Hexi Region DOI Creative Commons

Sijia Xiao,

Haonan Xia,

Jun Zhai

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(17), P. 3147 - 3147

Published: Aug. 26, 2024

The Hexi region, located in a sensitive and fragile ecological zone northwest China, requires scientific assessment of ecosystem services their interactions. Identifying the main factors influencing spatial distribution is crucial for sustainable development effective management region. This study evaluates key services, including regulating (water conservation, soil carbon storage) provisioning (NPP), using Spearman’s correlation pixel-by-pixel analysis to calculate trade-offs synergies. Geographic detectors were used uncover underlying driving mechanisms. results show that: (1) From 2000 2020, NPP, storage showed fluctuating growth, while water conservation declined. Spatially, high-value areas storage, NPP concentrated central southern areas, high values mainly southeast regions. (2) synergies among various exhibit temporal shifts, along with scale effects heterogeneity. In area, proportion pixels showing trade-off relationship between accounts 48.21% 21.42%, respectively. These are southeastern regions, northwestern counties predominantly (3) Precipitation was dominant factor as well these services. Among natural factors, climatic significantly more influential than socio-economic interaction two had greater explanatory power single factors.

Language: Английский

Citations

4

Effectiveness and driving mechanisms of ecological conservation and restoration in Sichuan Province, China DOI Creative Commons
Wei Li, Xi Chen,

Jianghua Zheng

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113238 - 113238

Published: Feb. 21, 2025

Language: Английский

Citations

0