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[1]XI Yantao,XU Yong,LIU Xinting.Spatiotemporal Changes of Different Vegetation Coverage in Jiangsu Province in the Period from 2000 to 2013[J].Research of Soil and Water Conservation,2016,23(01):86-91.

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Spatiotemporal Changes of Different Vegetation Coverage in Jiangsu Province in the Period from 2000 to 2013

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 01 Page number: 86-91 Column: Public date: 2016-02-28

Title:: Spatiotemporal Changes of Different Vegetation Coverage in Jiangsu Province in the Period from 2000 to 2013

Author(s):: XI Yantao, XU Yong, LIU Xinting; School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, Jiangsu 221000, China

Keywords:: Jiangsu Province; vegetation; variable coefficient; spatiotemporal variation; trend analysis

CLC:: Q948

DOI:: -

Abstract:: Based on the data products of MODIS NDVI, published by NASA, we has analyzed the spatiotemporal changes of different vegetation coverage in Jiangsu Province in the period from 2000 to 2013. The used methods include maximum value synthesis, trend analysis and variation coefficient. The results show that: (1) vegetation coverage in Jiangsu Province decreased with an average rate of 0.000 8 every year, paddy field and grassland decreased too, paddy field decreased obviously with the average rate of 0.002 1 every year, meantime, dry land and forestland were increasing, and dry land increased more quickly with the average rate of 0.001 5 per year; (2) in the past 14 years, 32.21% of vegetation coverage degraded, the areas involved mainly locate in the center of city, around the lake and along the coastal areas, the spatial distribution characteristic of paddy field degradation illustrates the trend that the degradation aggravated gradually from the south to the north or from the east to the west, degraded region of dry land mainly distributes in the north area of Jiangsu; (3) at the same time interval, the area where the NDVI shows lower variation coefficient, namely less than 10%, accounts for 86.97% of the total vegetation area, is mainly located in forestland, paddy field and dry land, except the grassland; (4) since 2000, vegetation coverage, vegetation variation trend and variation coefficient showed the good coupling character both spatially and temporally. The area with higher NDVI and lower variation coefficient experienced mild and moderate improvement, while the area with lower NVDI and higher variation coefficient was characterized as slight and moderate degradation.

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