Analysis and Prediction of Spatial and Temporal Evolution of Ecosystem Service Value on the Northern Slopes of the Kunlun Mountains Based on Land Use DOI Creative Commons
Zhichao Zhang, Yang Wang,

Haisheng Tang

et al.

Land, Journal Year: 2023, Volume and Issue: 12(12), P. 2123 - 2123

Published: Nov. 30, 2023

The ecological environment in the mountainous areas of southern Xinjiang is very sensitive and fragile, identifying asset retention within a top priority at current stage context comprehensive environmental management arid zones. This study examines conversion ecosystem service values between different land types based on time series land-use data from 1990 to 2020, results show that: (1) value services northern slopes Kunlun Mountains shows an overall increasing trend. It increased CNY 308.645 billion 326.550 2020. Among them, significantly 2000 2010, with increase 39.857 billion. Regulatory accounted for more than 66% each service. (2) Land use has changed since 1990. cropland, forest land, grassland, watershed, construction have all shown upward trend, greatest land. area unutilized other hand, slightly decreased. (3) was spatially high south, low north, higher west east. also found significant positive spatial correlation values. In distribution, were mainly distributed southeast, decreasing north. Changes are expected include grassland woodland, decrease improvement next decade. provides lessons references sustainable development protection ecologically fragile regions.

Language: Английский

Spatiotemporal heterogeneity of ecosystem service interactions and their drivers at different spatial scales in the Yellow River Basin DOI
Qi Liu, Jiajun Qiao, Mengjuan Li

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168486 - 168486

Published: Nov. 10, 2023

Language: Английский

Citations

88
Exploring Trade-Offs/Synergies and Drivers of Ecosystem Services in the Dongting Lake Area, China DOI Open Access
Ying Huang,

Xinsheng Chen,

Lianlian Zhu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1650 - 1650

Published: Feb. 17, 2025

Identifying ecosystem service trade-offs/synergies and their influencing factors are prerequisites for formulating scientific management strategies. We selected Dongting Lake Area as the study area, quantified four key ESs dynamics, including food production (FP), soil conservation (SC), habitat quality (HQ) ecological leisure (EL), identified relationships between paired services using Spearman correlation coefficients, analyzed how various drivers impact trade-offs synergies by leveraging spatial panel data models; we also implemented zoning superposition analysis on services, these drivers. The results showed that FC SC displayed synergy before a trade-off over period 2000–2022. FP–HQ HQ–EL initially synergy, then trade-off, again. Spatially, ratios of FP–HQ, SC–HQ, exceeded ratios, areas existed around Lake. direct or indirect effects DEM, slope, precipitation, population density have greatest effect pairs. Furthermore, DTLA was divided into unbalance, conservation, areas. These finding may provide critical insights to balance socio-economic progress in Area.

Language: Английский

Citations

1
Ecological disturbance effects of surface vegetation during coal mining in arid regions of Western China DOI

Yucong Ding,

Suping Peng, Wenfeng Du

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(6)

Published: May 2, 2024

Language: Английский

Citations

5
Exploring the quality of ecosystem services and the segmental impact of influencing factors in resource-based cities DOI
Fan Deng,

Shichao Zhu,

Jiaxin Guo

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124411 - 124411

Published: Feb. 1, 2025

Language: Английский

Citations

0
Analysis of Factors Influencing the Ecosystem Service Value in Yuzhong County and Multi-Scenario Predictions DOI Creative Commons

Jixuan Yan,

Gengxin Zhang, Wenning Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 833 - 833

Published: April 11, 2025

The value of ecosystem services (ESV) serves as a crucial metric for assessing the cost-effectiveness ecosystems and evaluating their economic worth. Predicting evolution ESV across various land uses under different scenarios is essential maintaining ecological stability fostering sustainable developm0ent. Utilizing use change data combined with PLUS predictive model service equivalence techniques, this study analyzes spatiotemporal patterns underlying drivers in Yuzhong County, China. results indicate that overall distribution exhibits “fragmented northeast, clustered southwest” pattern, dominated by high-high low-low clustering. Among driving factors, elevation exerts greatest influence on ESV, followed precipitation population density, while slope contributes least. Under natural development scenarios, remains relatively stable compared to base year 2020. In contrast, farmland protection scenario effectively preserves associated cultivated land. However, leads significant decline retraction high-value areas an expansion low-value regions. These insights provide fresh perspective analyzing factors influencing conducting multi-scenario predictions, thereby aiding resource conservation landscape risk prevention strategies region.

Language: Английский

Citations

0
Accounting of Grassland Ecosystem Assets and Assessment of Sustainable Development Potential in the Bosten Lake Basin DOI Open Access
Zhichao Zhang,

Zhoukang Li,

Zhen Zhu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3460 - 3460

Published: April 13, 2025

Assessing the ecosystem service value (ESV) of grasslands is crucial for sustainable resource management and environmental conservation. This study evaluates spatiotemporal changes in grassland services Bosten Lake Basin using long-term land use data (2000–2022). Employing Patch-generating Land Use Simulation (PLUS) model, we develop three future scenarios—natural development, ecological protection, economic priority—to predict utilization trends. The findings reveal a continuous decline area values, driven by climate change human activities. Compared with 2022, all scenarios indicate further degradation, but protection measures significantly mitigate ESV loss. provides scientific insights policy-making, contributing to restoration strategies under impacts. following: (1) Over 22-year period, has experienced an overall decline. Notably, plain desert steppe expanded from 626,179.41 ha 1,223,506.62 ha, whereas meadow reduced 556,784.64 118,948.23 ha. (2) total basin exhibited marginally insignificant decrease, amounting reduction 5.73422 billion CNY. values mountain desert, steppe, typical were relatively low showed minimal change. (3) In comparison projected areas 2000 show substantial reduction, particularly hilly grasslands. across are expected tandem varying degrees degradation. research underscores impact global warming activities on shrinking diminishing Basin. current state resources threat, highlighting urgent need strategic planning conservation efforts ensure development integrity.

Language: Английский

Citations

0
Estimation of ecosystem service value in Huixian Karst National Wetland Park based on equivalent factor method DOI Creative Commons
Yuxin He, Lanwei Zhu, Liming Dou

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: April 23, 2025

Language: Английский

Citations

0
Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis DOI Creative Commons
Jiamin Liu,

Xiutong Pei,

Wanyang Zhu

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(16), P. 3927 - 3927

Published: Aug. 8, 2023

In recent years, the delicate balance between economic development and ecological environment protection in ecologically fragile arid areas has gradually become apparent. Although previous research mainly focused on changes service value caused by land use, a comprehensive understanding of ecology–economy harmony compensation remains elusive. To address this, we employed coupled deep learning model (convolutional neural network-gated recurrent unit) to simulate Wuwei oasis over next 10 years. The index was used determine priority range compensation, while GeoDetector analyzed potential impact driving factors from 2000 2030. results show following: (1) model, which extracts spatial features neighborhood historical data using convolutional network adaptively learns time gated unit, achieved an overall accuracy 0.9377, outperforming three other models (gated network, network—long short-term memory); (2) Ecological area illustrated increasing trend 2030, but urban expansion still decrease value; (3) Historical characterized low conflict crisis, future will be crisis high coordination. Minqin Tianzhu north south have relatively coordination development, Liangzhou Guluang west east exhibited coordination, indicating greater urgency for compensation; (4) Geomorphic, soil, digital elevation emerged as most influential natural factor affecting differentiation area. This study is great significance balancing promoting sustainable areas.

Language: Английский

Citations

9
Spatial–temporal variation and correlation analysis of ecosystem service values and ecological risks in winter city Shenyang, China DOI Creative Commons
Yang Li, Hao Xie

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 6, 2024

Ecosystems in winter cities are complex and fragile, experiencing significant changes due to climate variations human construction activities. Previous studies on the assessment of overall ecosystem service value (ESV) ecological risk index (ERI) scarce. In this study, we constructed ESV ERI measurement models using land use data 2000, 2010, 2020 improved per unit area factor method landscape pattern method, respectively, reveal their spatial temporal change characteristics. Geographic detectors were used explore driving roles natural artificial factors ERI. The combination can then provide a more quantitative accurate basis for policy decisions, identify priority areas urban restoration, reduce ecosystems. results study show that total Shenyang city decreased from 273.97 × 108 CNY 270.38 during 2000–2020. Although decrease is not large, structurally with advancement urbanization. During 20 years, lowest function continues expand, increasing by 354 km2, grassland 215.9 arable 196.6 km2. water strongest, an increase 51.3 km2 area, ensuring there no decline ESV. size Very high, High, Medium zones remained relatively stable, while Low-value zone 12.78% increased 13.21%. interaction contributed most annual evapotranspiration (EVP)/ Normalized Difference Vegetation Index (NDVI) Annual sunshine hours (SSD)/ Digital Elevation Model (DEM) , respectively. There was correlation between highest supply capacity at same time facing severe risks distributed northeastern hilly lands. This should be prioritized develop planning control measures prevent further erosion forest lands grasslands risks. These theoretical security sustainable development cities.

Language: Английский

Citations

3
Coupled water-habitat-carbon nexus and driving mechanisms in the Tarim River Basin: A multi-scenario simulation perspective DOI Creative Commons
Jian Song, Tayierjiang Aishan, Xu Ma

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112649 - 112649

Published: Sept. 24, 2024

Language: Английский

Citations

2