Assessing the Sustainability Impact of Land-Use Changes and Carbon Emission Intensity in the Loess Plateau DOI Open Access
Shengli Ma, Mingxiang Xu

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8618 - 8618

Published: Oct. 4, 2024

Regional socioeconomic development is intricately tied to reasonable land-use resources. Although many studies have analyzed carbon emissions, there a lack of analysis the concept intensity. Studying emission intensity (LUCEI) crucial for shaping effective land management strategies that support integrated sustainable society, economy, and environment. This study examines changes on Loess Plateau (LP) from 2000 2020. The coefficient method, spatial autocorrelation analysis, optimal parameters-based geographical detector model are used identify analyze clustering patterns influencing factors affecting LUCEI, which provides more in-depth insights LUCEI. results indicate: (1) Urban Grassland areas showed most significant growth, with expanding by 10,845.21 km2 Grasslands 7848.91 km2, respectively. expansion was mainly caused conversion Cropland, while primarily attributed decline in Barren. (2) average LUCEI LP climbed 0.38 0.73 2020, indicating 190.70% growth rate. (3) pattern remained stable but unevenly distributed, extensive High-High Low-Low clusters. (4) Socioeconomic had greater explanatory power than natural factors. not driven single factor, combined influence multiple interaction between nighttime light population density explained distribution strongly, q-value 0.928. findings underscore critical role dynamics LP. By linking changes, this offers concrete scientific guidance policymakers seeking balance practices. Based these results, we recommend developing appropriate urban plans optimize structures, enhance regional sequestration capacities, fully implement green transition requirements.

Language: Английский

Coupling and Coordination Relationship Between Carbon Emissions from Land Use and High-Quality Economic Development in Inner Mongolia, China DOI Creative Commons
Min Gao,

Zhifeng Shao,

Lei Zhang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 354 - 354

Published: Feb. 8, 2025

Taking Inner Mongolia as a case, this study systematically analyzes the coupling and coordination relationship between carbon emissions from land use (CELU) high-quality economic development (HQED). The aim is to provide empirical support policy inspiration for archiving “dual carbon” goal HQED strategy in border areas. Panel data 12 cities 2000 2020 were selected. We established an evaluation index system CELU using entropy-weight TOPSIS method scientifically evaluated level of HQED. applied exploratory spatial analysis, topic decoupling, degree (CCD), geographic detector models comprehensively analyze status heterogeneity driving factors affecting CCD explored detail. Although total has increased, its growth rate slowed significantly. was low, obvious disequilibrium observed. Seven key factors, including land-use structure, efficiency, energy intensity, have significant effects on CCD. To supply-side structural reform, promote HQED, achieve emission reduction green goals, we offer series recommendations: transformation resource-based cities, optimize industrial structure upgrading, strengthen scientific technological innovation technology applications, improve regional cooperation coordination. This reveals internal provides practical instructive countermeasures suggestions sustainable areas, such Mongolia, which important reference value promoting economies achieving goal.

Language: Английский

Citations

1
Carbon reduction effect of comprehensive land consolidation and its configuration paths at the township level: A case study of Zhejiang Province, China DOI

Honggang Lu,

Yongpeng Ding,

Junbiao Zhang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 373, P. 123855 - 123855

Published: Jan. 1, 2025

Language: Английский

Citations

0
A breakthrough land-use-based carbon accounting framework for multi-scale evaluation: Coupling optimization algorithm and LCA DOI
Zhao Jing,

Shengnan Xu,

Yujie Ren

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106132 - 106132

Published: Jan. 1, 2025

Language: Английский

Citations

0
Teleconnections detection of land use carbon emissions beyond geographical proximity promotes the construction of cross-city networks DOI Creative Commons
Lei Shen,

Yinghong Jiang,

Duanqiang Zhai

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113092 - 113092

Published: Jan. 1, 2025

Language: Английский

Citations

0
Decoupling and peak prediction of industrial land carbon emissions in East China for developing countries’ prosperous regions DOI Creative Commons
Chenfei Zhang,

Xiaoyu Ren,

Weijun Zhao

et al.

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

Published: Feb. 20, 2025

Urban energy consumption is mostly concentrated in industrial regions, and carbon emissions from land use have significantly increased as a result of fast urbanization industrialization. In the battle against climate change, affluent regions developing countries are increasingly being used models for reducing emissions. Therefore, order to accomplish global sustainable development, it crucial understand how decoupled wealthy areas rising nations. This study investigates decoupling effects factors influencing them six East Chinese provinces one city between 2005 2020 using Tapio model LMDI decomposition approach. At same time, 2021 2035 were predicted BP neural network combined with scenario analysis. The findings indicate that: (1) From 29.921 million tons 40.2843 2020, China area nearly doubled. Of these, Shandong Jiangsu emit more than half region's total around China. (2) effect analysis shows trajectory's phased characteristics, degree gradually increasing weak (2006-2012) strong (2013-2018) finally negative (2019-2020). (3) primary causes rise region scale per capita economic output use. (4) overall peak time roughly distributed 2028 2032. It expected that Shanghai, Shandong, Jiangsu, Zhejiang will be among first achieve emission peak.

Language: Английский

Citations

0
Carbon neutral spatial zoning and optimization based on land use carbon emission in the qinba mountain region, China DOI Creative Commons
Jingeng Huo,

Zhenqin Shi,

Wenbo Zhu

et al.

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

Published: March 25, 2025

Amid global climate change, the pursuit of low-carbon development has become a unified international goal. The Qinba Mountain region plays an important role in maintaining China's ecological security, making spatial zoning tailored for carbon neutrality vital local sustainable development. Using land use and socioeconomic data from 2000 to 2020 81 county-level units, neutral framework was developed, considering natural, economic, resource factors. This study further integrated spatiotemporal dynamics index multi-scenario predictions future emission (CE) zoning. results revealed that had overall positive net-carbon trend without significant deficits, central faced increased CE northern weak carrying capacity. predicted continued decrease under scenario reached 30.55 million t by 2060, with only nine units failing reach their peaking 2030. Five different zones were identified: sink functional zone, stabilization high-carbon control zone source optimization zone. Tailored strategies each proposed enhance regional environment contribute green These findings offer insights into achieving regions or cities.

Language: Английский

Citations

0
Scenario forecasting of carbon neutrality by combining the LEAP model and future land-use simulation: An empirical study of Shenzhen, China DOI
Xinyan Zhao, Zhiguo Rao, Jinyao Lin

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106367 - 106367

Published: April 1, 2025

Language: Английский

Citations

0
Spatiotemporal Evolution of Territorial Spaces and Its Effect on Carbon Emissions in Qingdao City, China DOI Creative Commons

Jiali He,

Xiangfei Liu,

Xuetong Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1717 - 1717

Published: Oct. 20, 2024

Land use change has always been a significant factor affecting global carbon emissions. Dissecting the characteristics of territorial space evolution and its impact on emissions is crucial for developing low-carbon-oriented optimization governance strategies. This paper calculates associated with spaces in Qingdao from 2000 to 2020, utilizing land data alongside various statistical data. Based accounting results, their corresponding emissions, as well transition dynamics resulting transfer, are analyzed. A decomposition formula then proposed quantify differential spatially heterogeneous impacts changes types socio-economic development The results indicate that: (1) during 2000–2020 characterized by an expansion living contraction production ecological spaces; (2) net rose 313.98 × 104 tons 1068.58 tons, urban contributing most (69.96% 2020) due significantly high emission density. spatial distribution exhibited stable “northwest–southeast” pattern, increased dispersion weakened directionality; (3) transformation promoted Qingdao, conversion other uses yielding favorable transitions, while expropriation agricultural residents’ resulted detrimental transitions; (4) shapes overarching pattern regional density changes, whereas transfers account local variations. also identifies priorities key sectors reduction. findings contribute deeper understanding consequences thereby providing valuable insights planning aimed at promoting low-carbon development.

Language: Английский

Citations

3
Carbon emission prediction in a region of Hainan Province based on improved STIRPAT model DOI

Jiaojiao Tang,

Junfang Zheng,

Guangchao Yang

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(49), P. 58795 - 58817

Published: Oct. 1, 2024

Language: Английский

Citations

1
Assessing the Sustainability Impact of Land-Use Changes and Carbon Emission Intensity in the Loess Plateau DOI Open Access
Shengli Ma, Mingxiang Xu

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8618 - 8618

Published: Oct. 4, 2024

Regional socioeconomic development is intricately tied to reasonable land-use resources. Although many studies have analyzed carbon emissions, there a lack of analysis the concept intensity. Studying emission intensity (LUCEI) crucial for shaping effective land management strategies that support integrated sustainable society, economy, and environment. This study examines changes on Loess Plateau (LP) from 2000 2020. The coefficient method, spatial autocorrelation analysis, optimal parameters-based geographical detector model are used identify analyze clustering patterns influencing factors affecting LUCEI, which provides more in-depth insights LUCEI. results indicate: (1) Urban Grassland areas showed most significant growth, with expanding by 10,845.21 km2 Grasslands 7848.91 km2, respectively. expansion was mainly caused conversion Cropland, while primarily attributed decline in Barren. (2) average LUCEI LP climbed 0.38 0.73 2020, indicating 190.70% growth rate. (3) pattern remained stable but unevenly distributed, extensive High-High Low-Low clusters. (4) Socioeconomic had greater explanatory power than natural factors. not driven single factor, combined influence multiple interaction between nighttime light population density explained distribution strongly, q-value 0.928. findings underscore critical role dynamics LP. By linking changes, this offers concrete scientific guidance policymakers seeking balance practices. Based these results, we recommend developing appropriate urban plans optimize structures, enhance regional sequestration capacities, fully implement green transition requirements.

Language: Английский

Citations

1