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

Abstract 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,...

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Autores principales:	Xue-Yuan Lu, Xu Chen, Xue-Li Zhao, Dan-Jv Lv, Yan Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8ad6043dad014a0c9f8997ebe659a7f9
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spelling	oai:doaj.org-article:8ad6043dad014a0c9f8997ebe659a7f92021-11-21T12:18:32ZAssessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model10.1038/s41598-021-01757-72045-2322https://doaj.org/article/8ad6043dad014a0c9f8997ebe659a7f92021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01757-7https://doaj.org/toc/2045-2322Abstract 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.Xue-Yuan LuXu ChenXue-Li ZhaoDan-Jv LvYan ZhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xue-Yuan Lu Xu Chen Xue-Li Zhao Dan-Jv Lv Yan Zhang Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model
description	Abstract 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.
format	article
author	Xue-Yuan Lu Xu Chen Xue-Li Zhao Dan-Jv Lv Yan Zhang
author_facet	Xue-Yuan Lu Xu Chen Xue-Li Zhao Dan-Jv Lv Yan Zhang
author_sort	Xue-Yuan Lu
title	Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model
title_short	Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model
title_full	Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model
title_fullStr	Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model
title_full_unstemmed	Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model
title_sort	assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8ad6043dad014a0c9f8997ebe659a7f9
work_keys_str_mv	AT xueyuanlu assessingtheimpactoflandsurfacetemperatureonurbannetprimaryproductivityincrementbasedongeographicallyweightedregressionmodel AT xuchen assessingtheimpactoflandsurfacetemperatureonurbannetprimaryproductivityincrementbasedongeographicallyweightedregressionmodel AT xuelizhao assessingtheimpactoflandsurfacetemperatureonurbannetprimaryproductivityincrementbasedongeographicallyweightedregressionmodel AT danjvlv assessingtheimpactoflandsurfacetemperatureonurbannetprimaryproductivityincrementbasedongeographicallyweightedregressionmodel AT yanzhang assessingtheimpactoflandsurfacetemperatureonurbannetprimaryproductivityincrementbasedongeographicallyweightedregressionmodel
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Assessing the impact of land surface temperature on urban net primary productivity increment based on geographically weighted regression model

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