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Comparison of changes in vegetation and land cover types between Shenzhen and Bangkok

Yi Song, Jagannath Aryal, Liangcheng Tan, Long Jin, Zhihua Gao, Yunqiang Wang

2020Land Degradation and Development26 citationsDOIOpen Access PDF

Abstract

Abstract As important node cities in the Belt and Road region, Shenzhen and Bangkok are faced with similar environmental threats posed by the high‐speed social development process. Rapid urbanization leads to changes in vegetation growth and land cover types and then affects ecosystem services. In the current study, we used a time‐series normalized difference vegetation index dataset from 2000 to 2019 and two land cover type datasets from 2000 to 2018 to investigate and compare the spatiotemporal characteristics of the changes in vegetation and land cover types of the two cities. We found that the trend of vegetation change was mainly affected by the change in land cover types, while the interannual fluctuation of vegetation change was likely related to the extreme climate events caused by El Niño‐Southern Oscillation events. However, different urbanization strategies led to opposite vegetation change trends in Bangkok and Shenzhen after 2005. With urbanization, the vegetation coverage ( P v ) of Shenzhen increased from 48% in 2000 to 62% in 2018. The total urban green spaces (except croplands) of Shenzhen have remained above 33% of the total area since 2006. However, the total urban green space in Bangkok accounted for only 8% of the total area in 2018, which was even lower than the area percentage of Shenzhen's forests in the same year. Rapid urbanization without adequate urban green spaces caused a decreasing trend of P v in Bangkok. Green development under the Belt and Road Initiative requires serious considerations of environmental quality and urban livability during the rapid urbanization.

Topics & Concepts

UrbanizationVegetation (pathology)Land coverLand usePhysical geographyGeographyEnvironmental scienceLand use, land-use change and forestryEnvironmental protectionEcologyMedicinePathologyBiologyLand Use and Ecosystem ServicesRemote Sensing in AgricultureUrban Green Space and Health
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