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Assessing the Impact of Urban Sprawl on Net Primary Productivity of Terrestrial Ecosystems Using a Process-Based Model-A Case Study in Nanjing, China

Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2015, Vol.8, p.2318-2331

2008-2012 IEEE ;DOI: 10.1109/JSTARS.2015.2440274

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  • Title:
    Assessing the Impact of Urban Sprawl on Net Primary Productivity of Terrestrial Ecosystems Using a Process-Based Model-A Case Study in Nanjing, China
  • Author: Zhou, Yanlian ; Xing, Bailing ; Ju, Weimin
  • Subjects: Accuracy ; Agriculture ; Boreal ecosystem productivity simulator (BEPS) model ; Data models ; Earth ; Ecosystems ; land-cover change ; land-use change ; net primary production (NPP) ; Remote sensing ; Soil ; urban sprawl
  • Is Part Of: Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2015, Vol.8, p.2318-2331
  • Description: Urban sprawl/urbanization has large impacts on the structure and function of terrestrial ecosystems. Net primary production (NPP) is an important indicator for estimating the earth's ability to support life and aids the evaluation of sustainable development of the terrestrial ecosystem. In this study, the process-based boreal ecosystem productivity simulator (BEPS) model was used in conjunction with leaf area index (LAI) dataset, land cover, and meteorological and soil data to simulate daily NPP at spatial resolution 250 m in Nanjing, a representative region within the Yangtze Delta, for the period 2001-2010. Effects of urbanization on land-cover change and regional NPP are quantitatively evaluated. The results show that during this period, urbanization caused significant land-cover change. Compared with 2001, urbanized area and area covered by water bodies increased significantly, while vegetated area declined greatly. The greatest loss was cropland, followed by evergreen coniferous and closed deciduous forests. There were obvious spatial differences in NPP variations. The reduction rate of annual NPP in the major city of Nanjing, Jiangning District, and Gaochun County was much higher than that in Pukou and Luhe district, and Lishui County. These results indicate that a process-based model driven by remote sensing is useful in assessing the impact of urban sprawl on NPP, and urbanization, not climate factors, is a main factor for NPP reduction for an urbanizing region.
  • Publisher: IEEE
  • Language: English
  • Identifier: DOI: 10.1109/JSTARS.2015.2440274
  • Source: IEEE Open Access Journals
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