Spatial and temporal analysis of carbon sources and sinks through land use/cover changes in the Beijing-Tianjin-Hebei urban agglomeration region

Cui, Xianze; Wei, Xiaoqing; Liu, Wei; Zhang, Fan; Li, Zhihui

doi:10.1016/j.pce.2018.10.001

Cited by 51 publications

(28 citation statements)

References 42 publications

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“…The Beijing-Tianjin-Hebei (BTH) region is one of the most developed word-class urban agglomerations in China [60,61]. It is located between 113 • 04 -119 • 53 E and 36 • 01 -42 • 37 N, with a total area of approximately 216,000 km 2 .…”

Section: Study Areamentioning

confidence: 99%

Land Use Transition and Its Eco-Environmental Effects in the Beijing–Tianjin–Hebei Urban Agglomeration: A Production–Living–Ecological Perspective

Yang

Bao

et al. 2020

Land

102

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With the rapid development of urbanization and industrialization, China’s metropolitan areas have experienced dramatic transitions of land use, which has had a profound impact on the eco-environment. Accordingly, the contradictions of regional production, living, and ecological spaces have intensified. In this context, analysis of the dynamics of regional production–living–ecological (PLE) spaces has become an important entry point for studying land use transition and its eco-environmental effects, by constructing a classification system of PLE land functions. Using remote sensing data from four periods from 1985 to 2018, this paper explores the spatiotemporal evolution characteristics of PLE spaces and their eco-environmental effects in the Beijing–Tianjin–Hebei (BTH) urban agglomeration, based on GIS and the InVEST model. The results revealed that from 1985 to 2018, the living space of the BTH region expanded rapidly, the production space gradually shrank, and the ecological land remained relatively stable. The eco-environmental quality index within the study area shows obvious regional differences, demonstrating the spatial distribution of “high in the northwest and low in the southeast”, and an overall deteriorating trend in the past 33 years. Moreover, the carbon density decreased gradually from northwest to southeast, and the transformations from production land into living land and from ecological land into production land were the major types of eco-environment deterioration. Our findings will provide guidelines for land use management, and offer references for the functional division of PLE spaces and ecological civilization construction, especially in terms of the coordinated development of the BTH region.

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Section: Study Areamentioning

confidence: 99%

Land Use Transition and Its Eco-Environmental Effects in the Beijing–Tianjin–Hebei Urban Agglomeration: A Production–Living–Ecological Perspective

Yang

Bao

et al. 2020

Land

102

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“…These studies have proposed recommendations to implement regional climate policies in line with regional features and development realities. Given the wide development of urban agglomerations, research into urban carbon emissions has received more attention [ 36 , 37 , 38 ]. Economic development, population growth, industrial structure, and urban population scale were found to positively drive the energy consumption and promote carbon emissions at the city level [ 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of Land Urbanization on Carbon Emissions in Urban Agglomerations of the Middle Reaches of the Yangtze River

Zhang

Wang

et al. 2021

IJERPH

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The urban agglomerations in the middle reaches of the Yangtze River (MYR-UA) are facing a severe challenge in reducing carbon emissions while maintaining stable economic growth and prioritizing ecological protection. The energy consumption related to land urbanization makes an important contribution to the increase in carbon emissions. In this study, an IPAT/Kaya identity model is used to understand how land urbanization affected carbon emissions in Wuhan, Changsha, and Nanchang, the three major cities in the middle reaches of the Yangtze River, from 2000 to 2017. Following the core idea of the Kaya identity model, sources of carbon emissions are decomposed into eight factors: urban expansion, economic level, industrialization, population structure, land use, population density, energy intensity, and carbon emission intensity. Furthermore, using the Logarithmic Mean Divisia Index (LMDI), we analyze how the different time periods and time series driving forces, especially land urbanization, affect regional carbon emissions. The results indicate that the total area of construction land and the total carbon emissions increased from 2000 to 2017, whereas the growth in carbon emissions decreased later in the period. Energy intensity is the biggest factor in restraining carbon emissions, followed by population density. Urban expansion is more significant than economic growth in promoting carbon emissions, especially in Nanchang. In contrast, the carbon emission intensity has little influence on carbon emissions. Changes in population structure, industrial level, and land use vary regionally and temporally over the different time period.

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“…where CE grassland is the carbon emissions of grassland in each province, CE ecosystem is the carbon emissions from the grassland ecosystem, and CE grazing is the carbon emissions from grazing. With reference to previous studies [15,51,52], carbon emissions from the grassland ecosystem were estimated by using carbon emission factors and corresponding land area, which can be expressed as follows:…”

Section: Carbon Emissions Of Grasslandmentioning

confidence: 99%

“…On the other hand, land use also serves as a socioeconomic space carrier for carbon emissions caused by human production and living (about two-thirds of the total anthropogenic carbon emissions) [14]. Comprehensively calculating the carbon emissions from land use at different scales and analyzing their driving forces can not only help to develop an in-depth understanding of the intrinsic mechanism affecting carbon emissions by human activities and natural processes through land use [15], but can also assist in guiding regional low-carbon development from the perspectives of land use planning and land development [16]. Therefore, research on the carbon effects of land use has attracted more and more research scholars, government policy-makers, and companies, as well as nongovernmental organizations (NGOs), during recent years.…”

Section: Introductionmentioning

confidence: 99%

Tracking the Spatial–Temporal Evolution of Carbon Emissions in China from 1999 to 2015: A Land Use Perspective

et al. 2019

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China has been a leader in global carbon emissions since 2006. The question of how to reduce emissions while maintaining stable economic growth is a serious challenge for the country. To achieve this, it is of great significance to track the spatial and temporal evolution of carbon emissions in China during recent decades, which can provide evidence-based scientific guidance for developing mitigation policies. In this study, we calculated the carbon emissions of land use in 1999–2015 using the carbon emissions factor method proposed by the Intergovernmental Panel on Climate Change (IPCC). The Kuznets curve model was used to explore the influence of economic growth and urbanization on carbon emissions at the national and provincial levels. The results indicated that (1) China’s emissions increased from 927.88 million tons (Mt) in 1999 to 2833.91 Mt in 2015 at an average annual growth rate of 12.94%, while carbon sinks grew slightly, from 187.58 Mt to 207.19 Mt. Both emissions and sinks presented significant regional differences, with the Central and Southwest regions acting as the biggest emissions and sink contributors, respectively. (2) Built-up land was the largest land carrier for carbon emissions in China, contributing over 85% to total emissions each year; and (3) at the national level, the relationships between economic growth, urbanization, and carbon emissions presented as inverted U-shaped Kuznets curves, which were also found in the majority of the 30 studied provinces. While carbon emissions may be reaching a peak in China, given the disproportionate role of built-up land in carbon emissions, efforts should be devoted to limiting urbanization and the production of associated carbon emissions.

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Spatial and temporal analysis of carbon sources and sinks through land use/cover changes in the Beijing-Tianjin-Hebei urban agglomeration region

Cited by 51 publications

References 42 publications

Land Use Transition and Its Eco-Environmental Effects in the Beijing–Tianjin–Hebei Urban Agglomeration: A Production–Living–Ecological Perspective

Land Use Transition and Its Eco-Environmental Effects in the Beijing–Tianjin–Hebei Urban Agglomeration: A Production–Living–Ecological Perspective

Impact of Land Urbanization on Carbon Emissions in Urban Agglomerations of the Middle Reaches of the Yangtze River

Tracking the Spatial–Temporal Evolution of Carbon Emissions in China from 1999 to 2015: A Land Use Perspective

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