Dominant control of climate variations over land-use change on net primary productivity under different urbanization intensities in Beijing, China

Tian, Yuhong; Huang, Wei-Lin; Wu, Xiuchen; Jim, Chi Yung; Xinpan, Wang; Liu, Yiqing

doi:10.1016/j.chnaes.2019.07.002

Cited by 11 publications

(9 citation statements)

References 23 publications

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“…The driving factors of NPP have been examined through previous research 14 , 17 . Due to the complexity of urban spatial heterogeneity, the coefficients of different factors varied by land use and region under different urbanization intensities.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Urbanization has two opposite impacts on vegetation depending on different urban development stages 14 – 18 . Rapid urban expansion leads to a dramatic reduction in natural vegetation and cropland, which is a direct impact 14 , especially appear in the newly expanded urban areas. For the direct impact, the unprecedented urbanization in China in recent decades have led to drastic land-cover change 19 , which can undoubtedly reduce regional NPP 20 , 21 .…”

Section: Introductionmentioning

confidence: 99%

“…A limited number of studies have considered the spatial patterns of urbanization impacts. They divided cities into different buffer zones according to urban expansion intensities 14 , 17 . However, the main method used in these studies is the traditional ordinary least square (OLS) regression model.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model

Xue-yuan

Zhao

et al. 2021

Sci Rep

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Urbanization had a huge impact on the regional ecosystem net primary productivity (NPP). Although the urban heat island (UHI) caused by urbanization has been found to have a certain promoting effect on urban vegetation NPP, the factors on the impact still are not identified. In this study, the impact of urbanization on NPP was divided into direct impact (NPPdir) and indirect impact (NPPind), taking Kunming city as a case study area. Then, the spatial heterogeneity impact of land surface temperature (LST) on NPPind was analyzed based on the geographically weighted regression (GWR) model. The results indicated that NPP, LST, NPPdir and NPPind in 2001, 2009 and 2018 had significant spatial autocorrelation in Kunming based on spatial analytical model. LST had a positive impact on NPPind in the central area of Kunming. The positively correlation areas of LST on NPPind increased by 4.56%, and the NPPind caused by the UHI effect increased by an average of 4.423 gC m−2 from 2009 to 2018. GWR model can reveal significant spatial heterogeneity in the impacts of LST on NPPind. Overall, our findings indicated that LST has a certain role in promoting urban NPP.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model

Xue-yuan

Zhao

et al. 2021

Sci Rep

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“…However, field surveys take a great deal of time and manpower, so they are often used in single ecosystems, such as grassland and soil carbon pool [14]. In addition, some studies use remote sensing data and the CASA model to assess carbon storage [25,26]. Since remote sensing data can reflect the actual growth of vegetation, this method can obtain more accurate results and reflect the spatial heterogeneity of carbon reserves in each land-use type.…”

Section: Comparison Of Assessment Methodsmentioning

confidence: 99%

Spatiotemporal Dynamics of Carbon Storage in Response to Urbanization: A Case Study in the Su-Xi-Chang Region, China

Zheng

et al. 2019

Processes

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Terrestrial ecosystem carbon storage plays an important role in mitigating global warming. Understanding the characteristics and drivers of changes in carbon storage can provide a scientific basis for urban planning and management. The objective of this study was to reveal the ways in which urbanization influences the spatial and temporal variations in carbon storage. In this study, we investigated the changes in carbon storage from 1990–2000, 2000–2010, and 2010–2018 in the Su-Xi-Chang region, which is a typical fast-growing urban agglomeration in China, based on the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model. Moreover, we analyzed the impacts of urbanization-induced land-use changes on carbon storage. The results showed that in terms of space and time, the greatest loss of carbon storage occurred in developing urban areas and during the rapidly urbanizing stage. Our study revealed that the reduction in cultivated land was the greatest contributor to carbon stock losses. In addition, we found that some types of land use conversion can enhance carbon storage. Based on the results, some suggestions are proposed aimed at promoting urban sustainable development. This study also provides insights into enhancing urban sustainability for other urban agglomerations throughout the world.

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How can China's sustainable development be damaged in consequence of financial misallocation? Analysis from the perspective of regional innovation capability

Long

Zhu

et al. 2022

Bus Strat Env

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China's extensive economic growth has been accompanied with high levels of pollution, and excessive energy consumption has brought serious pollution problems. The use of financial resources to regulate green production modes and encourage high‐quality economic development has become a major focus in academia. At the same time, growth enterprise market (GEM) enterprises, which mainly operate in technology‐intensive industries, are assumed to have a simulating effect on regional innovation. Therefore, this paper utilizes the capital return differences of 4437 listed companies and 920 GEM companies based in 30 provinces of China from 2008 to 2018 to quantitatively analyze the levels of financial misallocation. With two‐stage regression method, the direct effect of financial misallocation on regional green total factor energy efficiency (GTFEE) and the indirect impact observed when taking regional innovation as an intermediary variable are discussed. Furthermore, dynamic threshold panel regression and heterogeneity analysis are used to verify the above nonlinear relationship. The empirical findings indicate that financial misallocation enhances innovation capability and further restrains GTFEE. With an improved degree of marketization and environmental regulation, the inhibitory effect of financial misallocation on GTFEE is more significant.

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Dominant control of climate variations over land-use change on net primary productivity under different urbanization intensities in Beijing, China

Cited by 11 publications

References 23 publications

Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model

Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model

Spatiotemporal Dynamics of Carbon Storage in Response to Urbanization: A Case Study in the Su-Xi-Chang Region, China

How can China's sustainable development be damaged in consequence of financial misallocation? Analysis from the perspective of regional innovation capability

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