19 results on '"Land-use carbon emissions"'
Search Results
2. Comprehensive evaluation of land-use carbon emissions integrating social network analysis and a zone-based machine learning approach
- Author
-
Fan, Houbao, Zhang, Xinmin, Zhou, Xiao, Sun, Zhongyi, He, Yafen, Wan, Wenqiang, and Lv, Tiangui
- Published
- 2025
- Full Text
- View/download PDF
Catalog
3. Effects of the "Urban Double Repairs" Policy on Urban Land-Use Carbon Emission Efficiency.
- Author
-
Zhao, Tengfei, Zhu, Jianlin, Jian, Zhiyu, Zhou, Xian, and Zhang, Puwei
- Abstract
Today, the ecological and environmental risks of increasing energy consumption and carbon emissions (CEs) are becoming increasingly prominent. The "Urban Double Repairs" (UDR) policy aims to enhance urban ecosystems, optimize urban land use, and improve urban land-use carbon emission (LUCE) efficiency. Drawing on panel data of the statistical yearbooks from 2006 to 2021 representing 285 prefecture-level cities in China, this study uses the non-expected output slacks-based measure (NEO-SBM) model and the progressive difference-in-differences (DID) model to explore the effects and intrinsic mechanisms of the UDR policy on urban LUCE efficiency, aiming to provide references for the greening transformation of land-use patterns (LUPs). The research results indicate that the UDR policy significantly promotes urban LUCE efficiency, which was confirmed through a series of robustness tests. The findings of the mechanism analysis indicate that the UDR policy can enhance urban LUCE efficiency by promoting the green upgrading of traditional industries. The positive effects of this policy on LUCE efficiency exhibit a short-term lag period of 2 years. The findings of the heterogeneity analysis reveal that the effects of the UDR policy on urban LUCE efficiency are heterogeneous and depend on the urban location, resource endowment, and scale. Specifically, the effects are more significant in eastern cities, large-scale cities, and non-resource-based (NRB) cities. According to the research findings, each city should implement the UDR policy according to local conditions, develop differentiated low-carbon transformation methods, and actively guide the upgrading of green industrial structures. These measures will significantly facilitate the green and efficient use of urban land resources in China. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
- Full Text
- View/download PDF
4. Study on the Evolution of Spatial and Temporal Patterns of Carbon Emissions from Land Use in a River Basin.
- Author
-
Xie, Xiaoling, Zhao, Jiangting, and Ma, Ruiyuan
- Abstract
Land-use change significantly contributes to carbon emission. Analyzing this relationship fosters exploration of low-carbon, efficient land-use patterns at regional levels. Using ArcGIS 10.5 and the PLUS model, this study investigated land transfer trends across six counties and one district in the Malian River Basin between 2000 and 2020. It quantified carbon emissions from land use and performed spatial distribution analysis using land-use and socio-economic data. The study demonstrates the following: (1) Between 2010 and 2020, significant land-use changes occurred in the Malian River Basin with 72,919.49 km
2 of land undergoing transformation. Notably, the farmland-to-forest and grassland conversion project in Qingyang City was a major factor contributing to the shift from arable land to forest and grassland. (2) Natural factors influencing land conversion in the Loess Plateau region primarily include precipitation and elevation. Conversely, social factors such as population density, road networks, and local government establishments in districts and counties are pivotal in driving land-use changes within the Malian River Basin. (3) Carbon emissions vary significantly among different land-use types, with building land, cropland, unutilized land, watershed, grassland, and forest land showing descending emissions. The rapid expansion of building land notably increases carbon emissions in the study region, while forest land, a significant carbon sink, absorbs approximately 88% of total carbon emissions. (4) Districts and counties in the study area exhibit varying levels of carbon emissions, with Ning County, Xifeng District, Huan County, Qingcheng County, Zhengning County, Heshui County, and Huachi County listed in descending order. Regions with higher carbon emissions typically host abundant energy resources and significant energy production and consumption activities. Variations in carbon emission levels are largely influenced by resource availability and development priorities. Variations in resource levels and developmental focus are pivotal in explaining differences in carbon emission levels. Thus, it is crucial to explore the dynamic interplay between land-use carbon emission efficiency and land evolution in the Malian River Basin. This research will support ecological management and sustainable economic development in the Yellow River Basin, while also contributing to the achievement of the "double carbon" goals. [ABSTRACT FROM AUTHOR] more...- Published
- 2024
- Full Text
- View/download PDF
5. 广州市土地利用碳排放时空演变及影响因素.
- Author
-
魏俊超, 梅志雄, 马君杰, and 王心雨
- Subjects
- *
CARBON emissions , *GREENHOUSE gas mitigation , *GEOGRAPHIC information systems , *POPULATION density , *LAND use - Abstract
[Objective] The purposes of this study are to explore the spatiotemporal evolution characteristics and influencing factors of land-use carbon emissions at different spatial scales, and to provide a reference basis for formulating reasonable carbon emission reduction measures and realize the goal of 'dual carbon'. [Methods] The land-use carbon emissions in Guangzhou in 2000, 2005, 2010, 2015 and 2020 were measured at township scale and 1 km grid scale. GIS spatial analysis, spatial autocorrelation. exploratory regression and geographically weighted regression (GWR) model were used to explore the spatiotemporal evolution characteristics and influencing factors of land-use carbon emissions in Guangzhou. [Results] (1) At the two scales, the areas of medium and high carbon emission areas were gradually increasing, while the areas of negative carbon emission areas and low carbon emission areas were gradually decreasing. (2) The land-use carbon emissions in the region generally had strong positive spatial agglomeration characteristics, and the degree of agglomeration tended to strengthen. The high high agglomeration and low-low agglomeration units were dominant, and the distribution of low high agglomeration areas were sporadic and did not change much. (3) The local spatial agglomeration pattern also involved some changes; the distribution of high-high agglomeration areas was expanding gradually; the distribution of low low agglomeration areas were shrinking at township scale, but expanding slightly at 1 km grid scale. (4) Land use structure, investment level and population size had positive effects on land-use carbon emissions, while population density of 95.32% of township units had inhibitory effects. [Conclusion The level of land-use carbon emissions Guangzhou gradually increased and showed positive spatial agglomeration characteristics on the whole, and the impacts of various influencing factors on it were significantly different. The results of this study can provide the reference for Guangzhou to formulate precise carbon emission reduction measures. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
- Full Text
- View/download PDF
6. Time-Space Evolution and Drivers of CO 2 Emissions from Land Utilization in Xinjiang from 2000 to 2020.
- Author
-
Yang, Jingye, Li, Kenan, Liu, Yongqiang, and Zhang, Yongfu
- Abstract
One of the key elements influencing carbon emissions is changes in land use, which affects the roles of carbon sources and sinks. We calculated the carbon emissions from land use in Xinjiang, constructed a Geographically and Temporally Weighted Regression model (GTWR), and investigated the spatio-temporal evolutionary trajectory and heterogeneity of carbon emissions based on the land use data of three periods from 2000 to 2020 and the socio-economic and energy data of the same period. The results show the following: ① in Xinjiang, the area of water, forests, grasslands, and idle land declined between 2000 and 2020, while the area of construction and agricultural land increased; ② Xinjiang's land-use-related carbon emissions are rising annually. The primary driver of this expansion is the region's growing area of construction land; ③ the degree of economic development, the amount of land used for building, and the degree of urbanization are the primary factors influencing carbon emissions in Xinjiang; and ④ In Xinjiang, there is a clear spatial heterogeneity in the factors that influence carbon emissions. Additionally, different influencing factors have different effects on emissions, depending on the region and stage of development, indicating that the level of resources and the region's economic center of gravity have different effects on emissions. [ABSTRACT FROM AUTHOR] more...
- Published
- 2024
- Full Text
- View/download PDF
7. Evolution of spatial network structure for land-use carbon emissions and carbon balance zoning in Jiangxi Province: A social network analysis perspective
- Author
-
Hanzhi Huang, Junsong Jia, Dilan Chen, and Shuting Liu
- Subjects
Land-use carbon emissions ,Spatial Network Analysis ,Carbon balance zoning ,Low carbon optimization ,Ecology ,QH540-549.5 - Abstract
Exploring the spatial network structure of land-use carbon emissions (LUCE) and the carbon balance in developing regions is pivotal for climate change mitigation in these areas. Using socio-economic and land-use data from 2000 to 2020, this study focused on Jiangxi Province as a representative case to elucidate the spatial network structure of LUCE and conduct carbon balance zoning. The primary findings were as follows: (1) The LUCE distribution in Jiangxi Province demonstrated a spatial pattern with high values in the northwest and low values in the southeast. An increasing trend was observed in the total amount of LUCE. Furthermore, there were evident regional differences in the Ecological Support Coefficient (ESC), indicating a weakening regional carbon sink capacity. (2) The spatial network structure of LUCE was intricate but stable. Although the gravitational interactions of LUCE between cities have intensified, overall network connectivity remained moderately correlated, indicating a prominent regional development imbalance. (3) There was a pronounced “core-periphery” structure in the LUCE spatial correlation network. Northern Jiangxi was the “core” of the network, taking an “initiator” role, whereas most cities in southern Jiangxi played a “passive” role, and resided at the “periphery” of the network. The inter-regional LUCE network exhibited pronounced spatial spillover, with inter-block correlations surpassing those within blocks. (4) By leveraging empirical data and spatial metrics, we categorized Jiangxi Province into five distinct carbon balance zoning types and subsequently proposed land-use optimization strategies. From the perspective of social network analysis (SNA), this study offers methodological insights into low-carbon development and synergistic emission reduction in developing regions. more...
- Published
- 2024
- Full Text
- View/download PDF
8. Unpacking the Sub-Regional Spatial Network of Land-Use Carbon Emissions: The Case of Sichuan Province in China.
- Author
-
Zhao, Qianyu, Xie, Boyu, and Han, Mengyao
- Subjects
CARBON emissions ,REGIONAL differences ,SOCIAL networks ,SOCIAL network analysis ,PANEL analysis ,FACTORS of production - Abstract
Land, as an essential resource for social, economic and ecological activities, is regarded as a key factor in material production. Against the background of rapid social and economic transition, land-use carbon emissions have gradually drawn due attention. However, few studies have been conducted to explore the spatial relationship of land-use carbon emissions at the sub-regional level, especially within Sichuan Province, China. This study is aimed at unpacking the spatial network of land-use carbon emissions in Sichuan Province by employing the panel data from 2006 to 2021 and using the method of Social Network Analysis. The results indicate that the net land-use carbon emissions of various prefecture-level divisions in Sichuan generally showed an inverse and asymmetrical "V-shaped" trend. The network correlation was improved and the stability was enhanced, gradually developing into a multi-centric structure. In addition, the spatial relationship among different clusters in the network undergoes a transition from intra-regional to inter-regional spillover. Based on these findings, the carbon balance zoning policy was discussed to provide references for how to coordinate roles and positions in the network when optimizing land-use carbon emission management policies in sub-regional areas with rapid social and economic development. [ABSTRACT FROM AUTHOR] more...
- Published
- 2023
- Full Text
- View/download PDF
9. Spatial–Temporal Characteristics and Influencing Factors of Land-Use Carbon Emissions: An Empirical Analysis Based on the GTWR Model.
- Author
-
He, Jie and Yang, Jun
- Subjects
CARBON emissions ,URBAN land use ,SUSTAINABLE urban development ,CITIES & towns ,INTERVENTION (Federal government) - Abstract
An in-depth comprehension of the spatial–temporal characteristics of land-use carbon emissions (LUCE), along with their potential influencing factors, is of high scientific significance for the realization of low-carbon land use and sustainable urban development. Academic investigations pertaining to LUCE predominantly encompass three key dimensions: assessment, optimization, and characterization research. This study aimed to investigate the spatial and temporal variations in LUCE within Zhejiang Province by analyzing data from 11 cities and identifying the key factors influencing these emissions. This research work employed the geographically and temporally weighted regression (GTWR) model to explore the patterns of variation in these factors across each city. The results reveal that (1) the temporal changes in LUCE display two predominant trends, while the spatial distribution exhibits a distinct "high in the northeast and low in the southwest" divergence; (2) the average intensity of each factor follows the order of economic level > government intervention > urban compactness > public facilities level > urban greening level > industrial structure > population density; (3) and the influencing factors exhibit significant spatial and temporal heterogeneity, with varying direction and intensity of effects for different cities at different stages of development. This study integrated the dimensions of time and space, systematically examining the evolutionary trends of influencing factors on LUCE within each region. Consequently, it contributes to the comprehension of the spatiotemporal effects associated with the driving mechanisms of LUCE. Moreover, it offers a foundation for formulating customized patterns and strategies to mitigate such emissions, taking into account specific local contexts. [ABSTRACT FROM AUTHOR] more...
- Published
- 2023
- Full Text
- View/download PDF
10. Spatial–Temporal Change Analysis and Multi-Scenario Simulation Prediction of Land-Use Carbon Emissions in the Wuhan Urban Agglomeration, China.
- Author
-
Zhang, Junxiang, Zhang, Chengfang, Dong, Heng, Zhang, Liwen, and He, Sicong
- Abstract
In the context of global warming, the Wuhan Urban Agglomeration is actively responding to China's carbon peak and carbon neutrality goals and striving to achieve a reduction in carbon sources and an increase in carbon sinks. Therefore, it is critical to investigate carbon emissions from land use. This study uses the carbon emission coefficient method to calculate carbon emissions from land use in the Wuhan Urban Agglomeration, analyzes its temporal and spatial changes and differences in urban structure, and couples with the Markov–PLUS model to simulate and predict the carbon emissions of four scenarios of land use in 2035. The research found the following: (1) during the Wuhan "1+8" City Circle stage, carbon sources and emissions increased steadily, with average annual growth rates of 1.92% and 1.99%, respectively. Carbon sinks remained stable and then decreased, with an average annual growth rate of −0.46%. (2) During the Wuhan Metropolitan Area stage—except for 2020 and 2021, which were affected by COVID-19—carbon sources, sinks, and emissions continued to grow in general, and the average annual growth rates increased to 4.46%, 1.58%, and 4.51%, respectively. (3) In terms of urban structure differences, Wuhan is a high-carbon optimization zone; Xianning, Huangshi, and Huanggang are ecological protection zones; other cities, such as Ezhou, Xiaogan, and Xiantao are comprehensive optimization zones; and there is no low-carbon development zone. (4) The multi-scenario simulation results show that carbon sources and emissions are the highest under the economic development scenario, with values of 100.2952 and 9858.83 million tons, respectively, followed by cropland protection, natural development, and low-carbon development scenarios. Under low-carbon development, carbon sinks were the highest, with values of 1.9709 million tons, followed by natural development, economic development, and cropland protection scenarios. The research results are conducive to the formulation of carbon peak and neutrality goals as well as low-carbon development plans for the Wuhan Urban Agglomeration. [ABSTRACT FROM AUTHOR] more...
- Published
- 2023
- Full Text
- View/download PDF
11. Effects of land-use change on carbon emission and its driving factors in Shaanxi Province from 2000 to 2020.
- Author
-
Zhao, Chenxu, Liu, Yuling, and Yan, Zixuan
- Subjects
CARBON emissions ,SUSTAINABLE development ,CARBON offsetting ,CARBON cycle ,FARMS - Abstract
Exploring the process of carbon emissions under the "carbon peaking and carbon neutrality goals" can contribute to sustainable economic development. This research takes Shaanxi Province as an example. We elaborated on the spatial and temporal characteristics of land-use change from 2000 to 2020 and adopted the carbon emission model method to calculate land-use carbon emissions, also used urban morphological indicators to reveal the main factors of carbon emission changes. The results show that from 2000 to 2020, the land-use change in Shaanxi Province is mainly reflected in the increase in construction land area and the decrease in agricultural land area. Among them, the construction land area increased by 2192 km
2 , and the agricultural land area decreased by 5006 km2 . Land-use carbon emissions increased by 1.28 × 1011 kg during this period. Construction land is a major contributor to carbon emissions. The forestland is the main carbon sink. Carbon emissions showed a spatial pattern of "high in the north, low in the south, and concentrated in the middle." Urban form change is the driving factor affecting land-use carbon emissions in Shaanxi Province. The results of the research contribute to the understanding of regional carbon emission mechanisms and provide a scientific basis for reducing carbon emissions. [ABSTRACT FROM AUTHOR] more...- Published
- 2023
- Full Text
- View/download PDF
12. Progress and Hotspots of Research on Land-Use Carbon Emissions: A Global Perspective.
- Author
-
Liu, Min, Chen, Yinrong, Chen, Kun, and Chen, Yi
- Abstract
Carbon emissions from land use change are the leading causes of the greenhouse effect. Exploration of the progress and hotspots of research on land-use carbon emissions (LUCE) is crucial for mitigating global climate warming. However, a comprehensive and systematic review of LUCE research from a global perspective is still lacking. We used the WoS Core Collection Database to analyze the current status of research on LUCE from a global perspective with the aid of a bibliometrix tool, aiming to reveal research hotspots and future development trends. We found that (1) the process of LUCE research has gone through a nascent exploration stage (1992–2001), a problem-focused stage (2002–2011), and a prosperous development stage (2012–2022) under different policy orientations. European and North American countries prioritize LUCE research more than others. (2) Overseas research hotspots mainly focus on the climate effects of land-use change, the impact of deforestation and fire on carbon stocks, the impact of soil organic carbon stocks on climate change and biodiversity, and agricultural carbon emissions. Research hotspots in China mainly focus on the study of the influencing factors of land-use carbon emissions, the path to achieving the dual carbon goal, and the transition to a low carbon economy. (3) Research frontiers show that China mainly researches low-carbon land use intensification in the context of a "dual carbon" strategy; carbon emission reduction based on energy transition; and the multi-dimensional, dynamic, and accurate tracking and monitoring of land-use carbon emission systems using remote sensing satellite data. Other countries have shifted from measuring historical land-use carbon emissions, deforestation, degradation and fire carbon emissions to biomass combustion and global warming mitigation research. This study enhances the depth and breadth of LUCE research, which can provide a theoretical foundation and scientific reference for subsequent research on LUCE. [ABSTRACT FROM AUTHOR] more...
- Published
- 2023
- Full Text
- View/download PDF
13. China's economic restructuring helps improve land-use resilience of carbon metabolism: Evidences from three Chinese megacities.
- Author
-
Xia, Linlin, Fu, Wenqi, Ke, Yuhan, Wang, Ruwei, Liang, Sai, and Yang, Zhifeng
- Subjects
- *
CARBON emissions , *CARBON metabolism , *SOCIOECONOMIC factors , *GREENHOUSE gas mitigation , *URBAN planning - Abstract
Megacities are significant land users and major contributors to global carbon emissions. It is urgent to enhance land-use resilience of megacities through a low carbon strategy. This necessitates a comprehensive understanding of the interactions between decarbonization and land-use resilience from a systematic network perspective. Using ecological network analysis combined with scenario projection methods, this study examined the temporal trends and socioeconomic determinants of the network resilience of carbon metabolism in three Chinese megacities (i.e., Beijing, Shanghai, and Shenzhen) from 2000 to 2030. Our findings suggest that inefficient land expansion directly increased network redundancy, leading to higher carbon emissions and deteriorated land-use resilience. Furthermore, network resilience significantly declined as net carbon emissions neared their peak. Economic restructuring, driven by changes in structure- and efficiency-oriented factors, revealed both co-benefits and trade-offs between decarbonization efforts and network resilience. These improvements were mainly achieved through coupled strategies, with Beijing demonstrating the highest network resilience value (0.3524) during the last stage, compared to Shanghai (0.2810) and Shenzhen (0.2138). Scenario analysis highlighted notable fluctuations in network resilience in response to interventions, underscoring the need for adaptive measures to balance network efficiency and redundancy. To achieve low carbon and resilient development, Beijing must focus on structural transformation, Shenzhen on reducing energy intensity, and Shanghai on improving energy use efficiency. Our study provides valuable insights into the intricate relationship between urban economic resilience and low-carbon development, offering key implications for sustainable urban planning and management. [Display omitted] • We conducted the first study on land-use resilience of carbon metabolism network. • Emission reductions followed different paths in Beijing, Shanghai, and Shenzhen. • Rapid land expansion increased emissions and redundancy and declined resilience. • Network resilience significantly declined as carbon emissions near their peak. • Structure– and efficiency–oriented scenarios project better low carbon and resilience. [ABSTRACT FROM AUTHOR] more...
- Published
- 2025
- Full Text
- View/download PDF
14. Unpacking the Sub-Regional Spatial Network of Land-Use Carbon Emissions: The Case of Sichuan Province in China
- Author
-
Qianyu Zhao, Boyu Xie, and Mengyao Han
- Subjects
spatial network ,land-use carbon emissions ,social network analysis ,carbon balance zoning ,Sichuan ,Agriculture - Abstract
Land, as an essential resource for social, economic and ecological activities, is regarded as a key factor in material production. Against the background of rapid social and economic transition, land-use carbon emissions have gradually drawn due attention. However, few studies have been conducted to explore the spatial relationship of land-use carbon emissions at the sub-regional level, especially within Sichuan Province, China. This study is aimed at unpacking the spatial network of land-use carbon emissions in Sichuan Province by employing the panel data from 2006 to 2021 and using the method of Social Network Analysis. The results indicate that the net land-use carbon emissions of various prefecture-level divisions in Sichuan generally showed an inverse and asymmetrical “V-shaped” trend. The network correlation was improved and the stability was enhanced, gradually developing into a multi-centric structure. In addition, the spatial relationship among different clusters in the network undergoes a transition from intra-regional to inter-regional spillover. Based on these findings, the carbon balance zoning policy was discussed to provide references for how to coordinate roles and positions in the network when optimizing land-use carbon emission management policies in sub-regional areas with rapid social and economic development. more...
- Published
- 2023
- Full Text
- View/download PDF
15. Spatial correlations of land-use carbon emissions in the Yangtze River Delta region: A perspective from social network analysis
- Author
-
Ziqi Yu, Longqian Chen, Haixia Tong, Longgao Chen, Ting Zhang, Long Li, Lina Yuan, Jue Xiao, Ran Wu, Luofei Bai, and Shuai Shi
- Subjects
Land-use carbon emissions ,Social network analysis ,Spatial spillover effects ,Yangtze River Delta Region ,Ecology ,QH540-549.5 - Abstract
The use and transformation of land by humans are the main cause of the increase in the concentration of carbon dioxide in the atmosphere. Using land-use data and socioeconomic statistics for 1995, 2000, 2005, 2010, 2015, and 2018, this study examines the carbon emissions from land use and their intensity in the entire Yangtze River Delta Region. We constructed a spatial correlation network of land-use carbon emissions by using a modified gravity model to analyze the characteristics of the spatial correlations and spillover effects of land-use carbon emissions. Results reveal that: (1) the spatial differences in land-use carbon emissions gradually increased, whereas those in land-use carbon emission intensity gradually narrowed from 1995 to 2018; (2) the high-degree centrality of Shanghai, Wuxi, and Suzhou indicated that they had always played leading roles in the network from 1995 to 2018. Moreover, Shanghai and Wuxi had large land-use carbon radiation ranges and together with Suzhou, Hangzhou, Changzhou, and Nanjing, exhibited above-average betweenness centrality from 1995 to 2018 and strong bridging capabilities across the entire network; (3) the land-use carbon emissions had obvious spatial correlations and spillover effects. Our results can provide a scientific basis from an urban agglomeration perspective for the transformation of China’s current economy into a low-carbon one, as well as the realization of regionally differentiated and coordinated emission reduction. more...
- Published
- 2022
- Full Text
- View/download PDF
16. Spatial–Temporal Characteristics and Influencing Factors of Land-Use Carbon Emissions: An Empirical Analysis Based on the GTWR Model
- Author
-
Jie He and Jun Yang
- Subjects
land-use carbon emissions ,spatial–temporal characteristics ,influencing factors ,geographically and temporally weighted regression ,Zhejiang Province ,Agriculture - Abstract
An in-depth comprehension of the spatial–temporal characteristics of land-use carbon emissions (LUCE), along with their potential influencing factors, is of high scientific significance for the realization of low-carbon land use and sustainable urban development. Academic investigations pertaining to LUCE predominantly encompass three key dimensions: assessment, optimization, and characterization research. This study aimed to investigate the spatial and temporal variations in LUCE within Zhejiang Province by analyzing data from 11 cities and identifying the key factors influencing these emissions. This research work employed the geographically and temporally weighted regression (GTWR) model to explore the patterns of variation in these factors across each city. The results reveal that (1) the temporal changes in LUCE display two predominant trends, while the spatial distribution exhibits a distinct “high in the northeast and low in the southwest” divergence; (2) the average intensity of each factor follows the order of economic level > government intervention > urban compactness > public facilities level > urban greening level > industrial structure > population density; (3) and the influencing factors exhibit significant spatial and temporal heterogeneity, with varying direction and intensity of effects for different cities at different stages of development. This study integrated the dimensions of time and space, systematically examining the evolutionary trends of influencing factors on LUCE within each region. Consequently, it contributes to the comprehension of the spatiotemporal effects associated with the driving mechanisms of LUCE. Moreover, it offers a foundation for formulating customized patterns and strategies to mitigate such emissions, taking into account specific local contexts. more...
- Published
- 2023
- Full Text
- View/download PDF
17. Spatiotemporal evolution and multi-scale coupling effects of land-use carbon emissions and ecological environmental quality.
- Author
-
Zhang, Xinmin, Fan, Houbao, Hou, Hao, Xu, Chuanqi, Sun, Lu, Li, Qiangyi, and Ren, Jingzheng
- Published
- 2024
- Full Text
- View/download PDF
18. Spatiotemporal dynamic decoupling states of eco-environmental quality and land-use carbon emissions: A case study of Qingdao City, China.
- Author
-
Yang, Yijia and Li, Huiying
- Subjects
CARBON emissions ,GEOGRAPHIC information systems ,URBAN planning ,ENVIRONMENTAL quality ,SUSTAINABLE development ,REMOTE sensing - Abstract
Spatiotemporal dynamic association between eco-environmental quality and land-use carbon emissions (LCE) is an indispensable part of regional and city planning and land management and a necessary condition for maintaining sustainable development. With the increasing awareness of the importance of sustainable development, quantifying the relationship between eco-environmental quality and LCE needs to be improved. Based on raster datasets of carbon emissions from fossil fuels, remotely sensed environmental variables, and land-use and land-cover change, this study aimed to combine an improved model of LCE, remote sensing ecological index (RSEI), and decoupling theory along with the help of the Google Earth Engine (GEE) and geographical information system platforms to explore the spatiotemporal patterns and trends of the eco-environmental quality and LCE over Qingdao City in the coastal economic belt of China for 2005–2019. There are three significant findings in this study. First, during 2005–2019, RSEI in the study area showed an overall upward trend (0.4365 in 2005 and 0.5378 in 2019), with a significant difference in the spatial distribution. Second, during 2005–2019, the total LCE value showed an increasing trend (4.028 million tonnes (Mt) in 2005 and 7.929 Mt. in 2019), with the study area acting as a carbon source. Third, the study area exhibited the four decoupling states of mainly weak decoupling (WD), expansive negative decoupling (END), strong decoupling (SD), and strong negative decoupling (SND). Finally, space management policies should be formulated based on different spatiotemporal characteristics and decoupling states to achieve carbon emission reductions and high-quality development. [Display omitted] • Establish a grid-scale to assess land-use carbon emissions (LCE). • The decoupling state of LCE and RSEI in the study area was not satisfactory. • Provide reference for establishing regional space management system. [ABSTRACT FROM AUTHOR] more...
- Published
- 2023
- Full Text
- View/download PDF
19. Monitoring spatiotemporal characteristics of land-use carbon emissions and their driving mechanisms in the Yellow River Delta: A grid-scale analysis.
- Author
-
Yang, Yijia and Li, Huiying
- Subjects
- *
CARBON emissions , *CARBON dioxide , *FOSSIL fuels , *POPULATION density , *LAND use - Abstract
Comprehensive and accurate grasp of land-use carbon emissions (LCE) level and its driving mechanism is key to success in China's pursuit of low-carbon development, and it is also the scientific basis for the formulation and implementation of regional carbon emissions strategies. Based on fossil fuel carbon emissions raster data (published by the Open-Data Inventory for Anthropogenic Carbon dioxide (ODIAC) platform) and land use data, this manuscript selects the Yellow River Delta as the study area and uses an improved LCE measurement model, exploratory spatial data analysis, multiscale geographical weighting regression (MGWR), and other models to explore the spatiotemporal heterogeneity and driving mechanisms of LCE at the grid level. The results showed the following: ① The total amount of LCE in the study area continued to increase from 2000 to 2019, the growth rate decreased, but the peak of LCE had not yet been reached. ② The LCE of the study area showed a significant positive global autocorrelation. The H–H aggregation region showed a relatively stable spatial distribution range; the L-L aggregation region showed wide distribution characteristics that covered the entire study area; and the aggregation regions of H-L and L-H, which have not yet reached the scale. ③ At the global dimension, the mean correlation coefficients between LCE and driving factors (net primary productivity (NPP), nighttime light (NTL), and population density (PD)) from 2000 to 2019 were −0.11, 0.28, and 0.12; at the local dimension, the strength (from strong to weak) of the effect of each factor on LCE was PD, NTL, NPP (2000) and NTL, PD, NPP (2019). The research results provide a scientific basis and basic guarantee for the development, and implementation of regional carbon emission strategies. •Analyzing the land use carbon emissions (LCE) from grid scale. • Coupling the data published by the ODIAC platform to estimate the LCE. •LCE is decomposed into three impact factors from grid scale. •Exploring the driving mechanism affecting LCE from local and global dimensions. •Provide a reference for taking low-carbon space management measures. [ABSTRACT FROM AUTHOR] more...
- Published
- 2022
- Full Text
- View/download PDF
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.