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

Yang Sun,

Junjun Zhi,

Chenxu Han

и другие.

Forests, Год журнала: 2024, Номер 15(8), С. 1292 - 1292

Опубликована: Июль 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.

Язык: 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

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 930, С. 172557 - 172557

Опубликована: Апрель 20, 2024

Язык: Английский

Процитировано

20

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105320 - 105320

Опубликована: Март 3, 2024

Язык: Английский

Процитировано

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

и другие.

Energy, Год журнала: 2024, Номер 305, С. 131722 - 131722

Опубликована: Май 19, 2024

Язык: Английский

Процитировано

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

и другие.

Energy and Buildings, Год журнала: 2024, Номер 319, С. 114513 - 114513

Опубликована: Июль 6, 2024

Язык: Английский

Процитировано

6

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

Qiuhao Zhao

и другие.

Ecological Indicators, Год журнала: 2024, Номер 167, С. 112672 - 112672

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

5

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

и другие.

Land Use Policy, Год журнала: 2024, Номер 148, С. 107418 - 107418

Опубликована: Ноя. 16, 2024

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105920 - 105920

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

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

и другие.

Ecology and Evolution, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 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.

Язык: Английский

Процитировано

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, Год журнала: 2025, Номер unknown, С. 106411 - 106411

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Future Climate Change Increases the Risk of Suitable Habitats for the Invasive Macrophyte Elodea nuttallii DOI Creative Commons
Yuhan Qi, Yu Zhang,

Jiali Xue

и другие.

Biology, Год журнала: 2025, Номер 14(5), С. 504 - 504

Опубликована: Май 5, 2025

Elodea nuttallii is an ornamental macrophyte native to North America that has been introduced Europe and Asia, having established, had detrimental effects on local aquatic ecosystems. In this study, we developed optimized MaxEnt model predict the global potential habitat suitability for E. under influence of climate change. The incorporated 20 relevant impact factors occurrence record data nuttallii. results reveal current future scenarios, potentially suitable habitats can be found six assessed continents, mainly in Western Europe, western eastern America, southeastern Oceania, scattered coastal areas South Africa. Moreover, temperature precipitation were identified as significant distribution future, area predicted expand, particularly towards higher latitudes.

Язык: Английский

Процитировано

0