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

Prediction and Trade-Off Analysis of Forest Ecological Service in Hunan Province on Explainable Deep Learning DOI Open Access

Weisi Li,

Wenju Jing,

Yuxin Tian

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 604 - 604

Published: March 30, 2025

Ecosystem services play a crucial role in maintaining ecological balance, providing essential functions. This study examines the trade-offs and synergies among five key ecosystem forests across different regions of Hunan Province, China. Various machine learning models are compared to predict service value (ESV) levels, with most effective predictive model identified. The SHAP (SHapley Additive exPlanations) analysis is employed identify environmental management factors influencing services. Our findings reveal significant regional variations services, eastern western showing superior soil conservation forest nutrient retention. In contrast, southern regions, particularly karst areas, display fewer between likely due effectiveness policies. further reveals that such as precipitation during warmest quarter, central government compensation funds, timber harvesting volume strongly influence ESV. provides valuable insights for improving policy-making rapidly developing underscoring importance protection strategies sustainable development.

Language: Английский

Citations

0

Social–Ecological Factors and Ecosystem Service Trade-Offs/Synergies in Vegetation Change Zones of Qilian Mountain National Park During 2000–2020 DOI Creative Commons
Xiaoyuan Yang, Zhonghua Zhang, Huakun Zhou

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1402 - 1402

Published: April 15, 2025

An ecological restoration assessment aims to evaluate whether projects (ERPs) have achieved predefined objectives, such as improving fractional vegetation cover (FVC) and enhancing ecosystem services (ESs), well optimize strategies based on outcomes. Despite recent advancements, current studies still fall short of fully capturing the trade-offs among ESs identifying underlying drivers different trends. To address these challenges, we applied Theil–Sen method delineate change zones in Qilian Mountain National Park (QLMNP) between 2000 2020, employed bivariate Moran’s I statistics analyze synergies four within zones, including carbon sequestration (CS), soil conservation (SC), water (WC), biodiversity maintenance (BIO), utilized a spatial random forest (SRF) model explore main socio-ecological driving factors trends their distribution. Our results revealed significant recovery QLMNP particularly regions with initially low FVC. Positive CS, SC, BIO highlighted success efforts, primarily driven by land conversion forests increased precipitation. However, 8.82% exhibited stagnation or degradation due rising temperatures overgrazing, leading declines SC BIO. Notably, introduced ESs, especially high FVC areas, where strong trade-off emerged WC. These findings highlight need for refining balance resource allocation. Finally, integrated trends, ES relationships, propose grid-based zonal governance plans QLMNP, prioritizing WC enhancement critical components future planning. This study serves foundation optimizing maintaining while offering actionable insights fine-grained evaluation sustainable development planning other regions.

Language: Английский

Citations

0

Evaluation and Driving Forces of Ecosystem Service Change in Maqu Alpine Wetland: An Emergy Approach DOI Creative Commons
Ziyi Han, Ruifeng Zhao, Lihua Zhang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(3), P. 366 - 366

Published: March 14, 2024

Wetlands are among the most productive ecosystems on Earth, providing various key ecosystem services to humans and other organisms. However, an insufficient understanding of economic value importance wetland resources has seriously weakened service wetlands. Thus, a more comprehensive must be revealed in order propose appropriate conservation policies. Therefore, achieve abovementioned goals, we used emergy accounting method account for Maqu alpine wetlands, Logarithmic Mean Divisia Index was analyze driving forces affecting changes services. The results indicate that wetlands showed trend decline then rebound during 1990–2020; its unit area decreased from 3.85 × 1010 sej/m2/y 3.04 1990–2000, after 2010, it began gradually rebound. Moreover, monetary continued rise study period, reaching 41.45 USD/m2/y 2020, thus reflecting great potential ecosystems. Based our analysis, drivers include scale benefit. Rapid intensive human activities have boosted local development, but these developments come at cost environmental degradation. Finally, some suggestions proposed. This suggests occupy important ecological position within whole Yellow River basin. is worthwhile invest significant amount funding their restoration protection.

Language: Английский

Citations

3

Assessing ecosystem service dynamics in China's coastal shelterbelt: Implications for ecosystem restoration DOI
Lixue Zhang, Lin Shi, Fan Yang

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107515 - 107515

Published: April 18, 2024

Language: Английский

Citations

3

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

Citations

3