Assessment of Carbon Stocks and Influencing Factors in Terrestrial Ecosystems Based on Surface Area DOI Creative Commons
Yang Wang, Min Wang,

J. Zhang

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(12), P. 111431 - 111431

Published: Nov. 19, 2024

The topography of the border ecological barrier area in southern Yunnan is complex, and utilizing vertically projected to estimate carbon stocks may lead significant errors. This study uses multisource data multiple models investigate spatial temporal variations surface factors affecting them area. Results show: difference between planar large, changes land use stock based on this are more significant, showing an inverted V-shape trend time a distribution pattern "high southeast, low northwest". NDVI slope were dominant factors. results provide new surface-scale perspective for deeper understanding land-use planning mountainous region represented by zone Yunnan.

Language: Английский

Spatio-Temporal Dynamics of Carbon Storage in Rapidly Urbanizing Shenzhen, China: Insights and Predictions DOI Creative Commons
Chunxiao Wang, Mingqian Li, Xuefei Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1566 - 1566

Published: Sept. 26, 2024

Rapid urbanization in developing countries leads to significant land-use and land-cover change (LULCC), which contributes increased carbon dioxide (CO2) emissions the degradation of storage. Studying spatio-temporal changes storage is crucial for guiding sustainable urban development toward neutrality. This study integrates machine-learning random forest algorithm, CA–Markov, InVEST models predict distribution Shenzhen, China, under various scenarios. The findings indicate that, over past two decades, Shenzhen has experienced changes. transformation from high- low-carbon-density land uses, particularly conversion forestland construction land, primary cause loss. Forestland mainly influenced by natural factors, such as digital elevation model (DEM) precipitation, while other (LULC) types are predominantly affected socio-economic demographic factors. By 2030, projected vary significantly across different scenarios, with greatest decline expected scenario (NDS) least ecological priority (EPS). RF-CA–Markov outperforms traditional CA–Markov accurately simulating use, small scattered types. Our conclusions can inform future low-carbon city optimization.

Language: Английский

Citations

4
Response of carbon storage to land use change and multi-scenario predictions in Zunyi, China DOI Creative Commons
Yi Liu,

Xuemeng Mei,

Yue Li

et al.

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

Published: Jan. 2, 2025

Language: Английский

Citations

0
Multi-scenario land use change simulation and spatial-temporal evolution of carbon storage in the Yangtze River Delta region based on the PLUS-InVEST model DOI Creative Commons
Jingru Zhou,

Verner Carl Johnson,

Jingchao Shi

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0316255 - e0316255

Published: Jan. 24, 2025

Influenced by urban expansion, population growth, and various socio-economic activities, land use in the Yangtze River Delta (YRD) area has undergone prominent changes. Modifications have resulted adjustments to ecological structures, leading subsequent fluctuations carbon storage. This study focuses on YRD region analyzes characteristics of changes using data from 2000 2020, with a 10-year interval. Utilizing InVEST Model’s Carbon Storage module combination PLUS model (patch-generating simulation), we simulated projected future patterns storage across under five scenarios including natural development (ND), (UD), protection (EP), cropland (CP), balanced (BD). Upon comparing levels predicted for 2030 those stocks decrease initial four then increase fifth scenario. In declining scenarios, CP scenario had least reduction storage, followed EP The implementation policies aimed at safeguarding preserving integrity can efficaciously curtail expansion developed into woodland cropland, enhance structure use, mitigate loss

Language: Английский

Citations

0
Dual impacts of human activities on land cover and carbon storage in the Yellow River Delta (1986–2023) DOI
Boyang Sun, Houjie Wang, Xiao Wu

et al.

Ocean & Coastal Management, Journal Year: 2025, Volume and Issue: 267, P. 107655 - 107655

Published: March 30, 2025

Language: Английский

Citations

0
Carbon Sequestration in Vulnerable Ecological Regions of China: Limitations and Opportunities DOI
Yong Xu,

Wen-Ting Huang,

Yue-Feng Yao

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143702 - 143702

Published: Sept. 1, 2024

Language: Английский

Citations

3
Mining activities drive the temporal and spatial changes of ecosystem carbon storage in coal resource-based city with high groundwater table DOI
Xiangyu Min,

Bingzi Zhang,

Yongsheng Wang

et al.

Habitat International, Journal Year: 2025, Volume and Issue: 161, P. 103420 - 103420

Published: April 26, 2025

Language: Английский

Citations

0
Assessment of Carbon Stocks and Influencing Factors in Terrestrial Ecosystems Based on Surface Area DOI Creative Commons
Yang Wang, Min Wang,

J. Zhang

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(12), P. 111431 - 111431

Published: Nov. 19, 2024

The topography of the border ecological barrier area in southern Yunnan is complex, and utilizing vertically projected to estimate carbon stocks may lead significant errors. This study uses multisource data multiple models investigate spatial temporal variations surface factors affecting them area. Results show: difference between planar large, changes land use stock based on this are more significant, showing an inverted V-shape trend time a distribution pattern "high southeast, low northwest". NDVI slope were dominant factors. results provide new surface-scale perspective for deeper understanding land-use planning mountainous region represented by zone Yunnan.

Language: Английский

Citations

1