Combining Landsat-Derived Lucc and Forest Age Data to Simulate and Attribute the Subtropical Forests Nep from 1980 to 2100 Under Four Ssp-Rcp Scenarios DOI
Zihao Huang, Xuejian Li, Fangjie Mao

et al.

Published: Jan. 1, 2024

Language: Английский

Driving mechanisms of ecosystem services and their trade-offs and synergies in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau DOI
Jie Zhou, Jie Yang,

Zhuangsheng Tang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113148 - 113148

Published: Jan. 23, 2025

Language: Английский

Citations

2

Impact of multi-scenario land-use changes on habitat quality evolution in the Yangtze River economic belt DOI Creative Commons
Bowen Dong, Tiantian Huang, Tao Tang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 9, 2025

Ecosystems worldwide are facing significant challenges resulting from the dual pressures of global climate change and human activities, particularly in terms biodiversity loss associated with land-use change. Focusing on Yangtze River Economic Belt (YREB), this study uses System Dynamics (SD) - Patch-generating Land Use Simulation (PLUS) model to simulate development under different scenarios shared socio-economic pathways (SSPs) representative concentration (RCPs) 2030 2050. Furthermore, InVEST is applied evaluate changes habitat quality (HQ) over period 2000 A hotspot analysis further highlights spatial heterogeneity HQ within YREB. The showed that pattern YREB 2020 2050 will be dominated by cropland eastern region, grassland north-west, forest land central southern regions, a steady increase built-up east. index exhibits gradual east west, ultimately declining 0.726 SSP585 scenario for This trend reflects moderate degradation (HD), degree shifting towards lower higher proportions HQ. Spatial reveals region identified as cold spot, categorized non-significant, while western emerges hot where exceeds 40%. These findings offer scientific foundation promoting high-quality enhancing conservation

Language: Английский

Citations

1

How can urban expansion and ecological preservation be balanced? A simulation of the spatial dynamics of production-living-ecological spaces in the Huaihe River Eco-Economic Belt DOI Creative Commons
Tonghui Yu, Shanshan Jia, Yu Zhang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113192 - 113192

Published: Feb. 1, 2025

Language: Английский

Citations

1

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

6

The shift in the spatiotemporal relationship between supply and demand of ecosystem services and its drivers in China DOI

Rui Su,

Cuncun Duan,

Bin Chen

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121698 - 121698

Published: July 4, 2024

Language: Английский

Citations

6

Analysis of Spatial and Temporal Evolution of Ecosystem Services and Driving Factors in the Yellow River Basin of Henan Province, China DOI Open Access
Liting Fan,

Xinchuang Wang,

Zhichao Chen

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(9), P. 1547 - 1547

Published: Sept. 2, 2024

The Henan Yellow River Basin is an ecological support belt for the entire basin. It holds a significant position in high-quality development and conservation within Basin. However, due to improper activities, such as urban expansion deforestation of farmland, certain areas region have encountered series issues, posing challenges ecosystem services. scientific foundation sustainable environment established by research on evolution characteristics driving factors service functions. This study focuses Basin, introducing remote sensing data biomass data, assessing spatiotemporal variations InVEST model—including carbon stock, water yield, soil conservation—from 2000 2020. analyzes functions different land use types. employs Geodetector identify dominant behind changes these based improved model evaluated results. findings reveal that from 2020, total stock increased 1.86%, per unit area rose 1.81%, spatial distribution remained largely stable. high-value regions were clustered west part north, primarily consisting forest land. Carbon capacity other regions, mainly farmland construction land, was poor, with having strongest sequestration capacity, followed grassland. Total yield decreased 20.08%, 20.03%, closely following trend precipitation distribution. south, farmland. amount 19.96%, 19.93%, patterns similar those yield. concentrated southwestern northern forested while weaker. divergence most influenced population density, precipitation, slope. In conclusion, during period, storage increased, decline highlighted critical issues region. These indicate need targeted measures strategies address services mitigate adverse environmental impacts, ensuring long-term health region’s ecosystems. offers in-depth understanding differentiation their factors, enabling precise assessment regional services, providing theoretical formulating effective policies.

Language: Английский

Citations

5

Land use assessment under dynamic evolution: Multi-objective optimization and multi-scenario simulation analysis DOI
Dan Yang, Pengyan Zhang,

Jinbing Zhang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123456 - 123456

Published: Nov. 29, 2024

Language: Английский

Citations

5

Ecological risk assessment and response prediction caused by LUCC in the central Yunnan Province DOI Creative Commons
Yongdong Zhang,

Zisheng Yang,

Renyi Yang

et al.

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

Published: Jan. 18, 2025

Language: Английский

Citations

0

Impact of landform on Spatial-Temporal distribution and Scenario-Based prediction of carbon stocks in arid Regions: A Case study of Xinjiang DOI
Keyu Song, Weiming Cheng, Baixue Wang

et al.

CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108781 - 108781

Published: Jan. 27, 2025

Language: Английский

Citations

0

Ecological security driving mechanisms and optimization of zoning in Chinese urban agglomerations: A case study of the central plains urban agglomeration DOI Creative Commons
Jinyuan Zhang, Xuning Qiao,

Yongju Yang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113190 - 113190

Published: Feb. 1, 2025

Language: Английский

Citations

0