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Land-use change, particularly urban expansion, can greatly affect the carbon balance, both from the aspects of terrestrial ecosystems and anthropogenic carbon emissions. Coastal China is a typical region of rapid urban expansion, and obvious spatial heterogeneity exists from the north to south. However, the different urban change characteristics and the effect on carbon balance remain undetermined. By unifying the spatial-temporal resolution of carbon source and sink data, we effectively compared the carbon budgets of three coastal urban agglomerations in China. The results show that all of the three urban agglomerations have undergone an obvious urban expansion process, with the built-up area increasing from 1.03 × 104 km2 in 2000 to 3.06 × 104 km2 in 2013. For Beijing–Tianjin–Hebei (BTH), the built-up area gradually expanded. The built-up area in the Yangtze River Delta (YRD) gradually changed before 2007 but rapidly grew thereafter. The built-up expansion of the Pearl River Delta (PRD) passed through three growing stages and showed the largest mean patch size. Carbon emission spatial patterns in the three urban agglomerations are consistent with their economic development, from which the net ecosystem production (NEP) spatial patterns are very different. Compared to carbon emissions, NEP has a carbon sink effect and can absorb some carbon emissions, but the amounts were all much lower than the carbon emissions in the three urban agglomerations. The carbon sink effect in the Yangtze River Delta is the most obvious, with the Pearl River Delta following, and the lowest effect is in Beijing–Tianjin–Hebei. Finally, a scientific basis for policy-making is provided for viable CO2 emission mitigation policies.
Jiqun Wen; Xiaowei Chuai; Shanchi Li; Song Song; Yuanwei Li; Mengjie Wang; Shuosheng Wu. Spatial Heterogeneity of the Carbon Emission Effect Resulting from Urban Expansion among Three Coastal Agglomerations in China. Sustainability 2019, 11, 4590 .
AMA StyleJiqun Wen, Xiaowei Chuai, Shanchi Li, Song Song, Yuanwei Li, Mengjie Wang, Shuosheng Wu. Spatial Heterogeneity of the Carbon Emission Effect Resulting from Urban Expansion among Three Coastal Agglomerations in China. Sustainability. 2019; 11 (17):4590.
Chicago/Turabian StyleJiqun Wen; Xiaowei Chuai; Shanchi Li; Song Song; Yuanwei Li; Mengjie Wang; Shuosheng Wu. 2019. "Spatial Heterogeneity of the Carbon Emission Effect Resulting from Urban Expansion among Three Coastal Agglomerations in China." Sustainability 11, no. 17: 4590.
Soil respiration (Rs) plays an important role in the carbon budget of terrestrial ecosystems. Quantifying the spatial and temporal variations in Rs in China at the regional scale helps improve our understanding of the variations in terrestrial carbon budgets that occur in response to global climate and environmental changes and potential future control measures. In this study, we used a regional-scale geostatistical model that incorporates gridded meteorological and pedologic data to evaluate the spatial Rs variations in China from 2000 to 2013. We analysed the relationship between Rs and environmental factors, and suggest management strategies that may help to keep the terrestrial carbon balance. The simulated results demonstrate that the mean annual Rs value over these 14 years was 422 g/m2/year, and the corresponding total amount was 4.01 Pg C/year. The Rs estimation displayed a clear spatial pattern and a slightly increasing trend. Further analysis also indicated that high Rs values may occur in areas that show a greater degree of synchronicity in the timing of their optimal temperature and moisture conditions. Moreover, cultivated vegetation exhibits higher Rs values than native vegetation. Finally, we suggest that specific conservation efforts should be focused on ecologically sensitive areas where the Rs values increase significantly.
Jiqun Wen; Xiaowei Chuai; Shanchi Li; Song Song; Jiasheng Li; Xiaomin Guo; Lei Yang. Spatial-Temporal Changes of Soil Respiration across China and the Response to Land Cover and Climate Change. Sustainability 2018, 10, 4604 .
AMA StyleJiqun Wen, Xiaowei Chuai, Shanchi Li, Song Song, Jiasheng Li, Xiaomin Guo, Lei Yang. Spatial-Temporal Changes of Soil Respiration across China and the Response to Land Cover and Climate Change. Sustainability. 2018; 10 (12):4604.
Chicago/Turabian StyleJiqun Wen; Xiaowei Chuai; Shanchi Li; Song Song; Jiasheng Li; Xiaomin Guo; Lei Yang. 2018. "Spatial-Temporal Changes of Soil Respiration across China and the Response to Land Cover and Climate Change." Sustainability 10, no. 12: 4604.
Based on energy consumption data of each region in China from 1997 to 2009 and using ArcGIS9.3 and GeoDA9.5 as technical support, this paper made a preliminary study on the changing trend of spatial pattern at regional level of carbon emissions from energy consumption, spatial autocorrelation analysis of carbon emissions, spatial regression analysis between carbon emissions and their influencing factors. The analyzed results are shown as follows. (1) Carbon emissions from energy consumption increased more than 148% from 1997 to 2009 but the spatial pattern of high and low emission regions did not change greatly. (2) The global spatial autocorrelation of carbon emissions from energy consumption increased from 1997 to 2009, the spatial autocorrelation analysis showed that there exists a “polarization” phenomenon, the centre of “High-High” agglomeration did not change greatly but expanded currently, the centre of “Low-Low” agglomeration also did not change greatly but narrowed currently. (3) The spatial regression analysis showed that carbon emissions from energy consumption has a close relationship with GDP and population, R-squared rate of the spatial regression between carbon emissions and GDP is higher than that between carbon emissions and population. The contribution of population to carbon emissions increased but the contribution of GDP decreased from 1997 to 2009. The carbon emissions spillover effect was aggravated from 1997 to 2009 due to both the increase of GDP and population, so GDP and population were the two main factors which had strengthened the spatial autocorrelation of carbon emissions.
Xiaowei Chuai; Xianjin Huang; Wanjing Wang; Peng Jiawen; Qiang Chen; Jiawen Peng. Spatial econometric analysis of carbon emissions from energy consumption in China. Journal of Geographical Sciences 2012, 22, 630 -642.
AMA StyleXiaowei Chuai, Xianjin Huang, Wanjing Wang, Peng Jiawen, Qiang Chen, Jiawen Peng. Spatial econometric analysis of carbon emissions from energy consumption in China. Journal of Geographical Sciences. 2012; 22 (4):630-642.
Chicago/Turabian StyleXiaowei Chuai; Xianjin Huang; Wanjing Wang; Peng Jiawen; Qiang Chen; Jiawen Peng. 2012. "Spatial econometric analysis of carbon emissions from energy consumption in China." Journal of Geographical Sciences 22, no. 4: 630-642.