The Impact of Future Land Use Change on Carbon Emission and Its Optimization Strategy DOI Open Access

Yang Sun,

Junjun Zhi,

Chenxu Han

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(8), P. 1292 - 1292

Published: July 24, 2024

Rapidly changing climate issues and increasingly severe carbon emissions are great challenges to the peaking neutrality strategy. Analyzing impact of future land use changes on can provide an important basis reference for scientifically constructing a low-carbon sustainable territorial spatial planning, as well realizing goal dual-carbon Based data, agricultural production activity energy consumption statistics, this study simulated Yangtze River Delta region (YRDR) from 2030 2060 under natural development (ND) scenario (SD) by using Patch-generating Land Use Simulation (PLUS) model analyzed impacts emissions. The results showed that: (1) simulation obtained PLUS were highly consistent with actual OA value 97.0%, Kappa coefficient 0.952, FoM 0.403; (2) SD 2060, quantity construction was effectively controlled, distributions cropland forests found dominate in north south River, respectively; (3) Anhui Province major contributor (accounted 49.5%) net absorption while Zhejiang 63.3%) forest YRDR during period 2020–2060 scenario; (4) Carbon main source proportions higher than 99% both ND scenarios. These findings underscore urgent need government take measures balance relationships between ecological protection economic development, which provides optimization structure policy formulation future.

Language: Английский

Impacts of climate and land use change on terrestrial carbon storage: A multi-scenario case study in the Yellow River Basin (1992–2050) DOI
Haoyang Wang,

Lishu Wu,

Yongsheng Yue

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 930, P. 172557 - 172557

Published: April 20, 2024

Language: Английский

Citations

20

Spatiotemporal evolutionary characteristics and driving forces of carbon emissions in three Chinese urban agglomerations DOI
Meng Wei, Zhi Cai, Yan Song

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 104, P. 105320 - 105320

Published: March 3, 2024

Language: Английский

Citations

19

Unveiling land use-carbon Nexus: Spatial matrix-enhanced neural network for predicting commercial and residential carbon emissions DOI
Haizhi Luo, Yiwen Zhang, Xinyu Gao

et al.

Energy, Journal Year: 2024, Volume and Issue: 305, P. 131722 - 131722

Published: May 19, 2024

Language: Английский

Citations

8

Quantifying heterogeneous impacts of 2D/3D built environment on carbon emissions across urban functional zones: A case study in Beijing, China DOI
Shouhang Du,

Yirui Zhang,

Wen‐Bin Sun

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 319, P. 114513 - 114513

Published: July 6, 2024

Language: Английский

Citations

6

Spatial-temporal dynamics and influencing factors of city level carbon emission of mainland China DOI Creative Commons
Pengfei Xu, Guangyao Zhou,

Qiuhao Zhao

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112672 - 112672

Published: Oct. 1, 2024

Language: Английский

Citations

5

Spatial Optimization of Land Use and Carbon Storage Prediction in Urban Agglomerations under Climate Change: Different Scenarios and Multiscale Perspectives of CMIP6 DOI
Hao Wu, Yi Yang, Wen Li

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105920 - 105920

Published: Oct. 1, 2024

Language: Английский

Citations

4

Multi-scenario simulation of low-carbon land use based on the SD-FLUS model in Changsha, China DOI

MA Sheng-lan,

Junlin Huang,

Xiuxiu Wang

et al.

Land Use Policy, Journal Year: 2024, Volume and Issue: 148, P. 107418 - 107418

Published: Nov. 16, 2024

Language: Английский

Citations

4

Carbon Storage Response to Land Use/Land Cover Changes and SSPRCP Scenarios Simulation: A Case Study in Yunnan Province, China DOI Creative Commons
Jing Liu, Kun Yang, Shaohua Zhang

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 1, 2025

ABSTRACT Changes in terrestrial ecosystem carbon storage (CS) affect the global cycle, thereby influencing climate change. Land use/land cover (LULC) shifts are key drivers of CS changes, making it crucial to predict their impact on for low‐carbon development. Most studies model future LULC by adjusting change proportions, leading overly subjective simulations. We integrated Integrated Valuation Ecosystem Services and Trade‐offs (InVEST) model, Patch‐generating Use Simulation (PLUS) Harmonization 2 (LUH2) dataset simulate Yunnan under different SSP‐RCP scenarios economic Within new PLUS‐InVEST‐LUH2 framework, we systematically analyzed alterations effects from 1980 2040. Results demonstrated that: (1) Forestland had highest CS, whereas built‐up land water showed minimal levels. Western areas boast higher while east has lower. From 2020, continuously decreased 29.55 Tg. In wake population increase advancement, area expanded 2.75 times. Built‐up encroaches other categories is a cause reduction CS. (2) 2020 2040, mainly due an forestland, rose 3934.65 Tg SSP1‐2.6 scenario, SSP2‐4.5 primarily forestland grassland areas, declined 3800.86 (3) primary contributor ongoing enlargement causing sustained decline Scenario simulations indicate that changes will have significant Yunnan. Under green sustainable development pathway, can exhibit sink potential. Overall, this research offers scientific reference optimizing management Yunnan, aiding China's “double carbon” goals.

Language: Английский

Citations

0

Spatiotemporal Impacts of Purpose-Specific Human Mobility on Air Pollution: Evidence from Taxi Trajectories and Interpretable Machine Learning DOI
Wei Xü, Xueping Gu

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106411 - 106411

Published: April 1, 2025

Language: Английский

Citations

0

Evaluating and simulating the impacts of land use patterns on carbon emissions in coal resource-based regions: A case study of shanxi province, China DOI
Kunpeng Wang, Zhe Li, Zhanjun Xu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 458, P. 142494 - 142494

Published: May 4, 2024

Language: Английский

Citations

3