Case Studies
Oct 14, 2014

Effects of Urbanization on Vegetation Degradation in the Yangtze River Delta of China: Assessment Based on SPOT-VGT NDVI

Publication: Journal of Urban Planning and Development
Volume 141, Issue 4

Abstract

Rapid urbanization has generated great pressure on natural resources. This research paper illustrates the utility of linking socioeconomic and remotely sensed imagery in order to investigate the interaction between ecological and socioeconomic processes within the context of urban growth. The approach focuses on the vegetation degradation index (VDI) developed from time series SPOT-VGT NDVI, the normalized difference vegetation index based on vegetation data provided by the vegetation sensor onboard the SPOT satellites. The VDI value of each square kilometer pixel has been calculated to depict spatial pattern of vegetation degradation, which are then aggregated into the city level. In terms of urbanization, 13 factors have been chosen and valued from statistics books and vector digital maps. With the sample set of 50 cities in the Yangtze River Delta region of China, spearman correlation analysis and multiple regression analysis have been adopted to investigate the causal relationships between urbanization and vegetation degradation. The findings are as follows: First, three hot-spot areas in vegetation degradation have been identified, which are spatially correlated with urban land expansion. The composite index of VDI has been manifested as an effective tool for assessing vegetation degradation. Second, economic and demographic variables, rather than the urban land expansion variables, have been verified to be the determinant factors for vegetation degradation. The rise of GDP growth rate, population growth or GDP per capita has significantly deepened regional vegetation degradation. Third and finally, the distinctively local findings that incomplete urbanization and idling cropland have probably increased vegetation degradation rates are worth noting. Although further studies are required for probing into detailed mechanisms and universality, the specific findings may provide a reference to similar studies, and should be quite useful for policy makers.

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Acknowledgments

The authors wish to thank the funding support from the Innovative Program of the Chinese Academy of Sciences (KZCX2-EW-315) and Natural Science Foundation of China (NSFC, No. 41371179). The SPOT-VGT NDVI images used in this research are copyrighted by the Centre National d’Etudes Spatiales (CNES), Toulouse (France) and were produced by the Flemish Institute for Technological Research (VITO), Mol (Belgium).

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 141Issue 4December 2015

History

Received: Jul 25, 2013
Accepted: Aug 26, 2014
Published online: Oct 14, 2014
Discussion open until: Mar 14, 2015
Published in print: Dec 1, 2015

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Guang Yu Li [email protected]
Ph.D. Student, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People’s Republic of China; and Univ. of Chinese Academy of Sciences, Beijing, People’s Republic of China. E-mail: [email protected]
Shuang S. Chen [email protected]
Professor, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People’s Republic of China (corresponding author). E-mail: [email protected]
Yue Yan
Assistant Engineer, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People’s Republic of China; presently, Shandong Urban and Rural Planning Design Institute, Jinan 250013, People’s Republic of China.
Cheng Yu
Ph.D. Student, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People’s Republic of China; and Univ. of Chinese Academy of Sciences, Beijing, People’s Republic of China.

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