[1]LI Tong,SHI Xueyi.Analysis of Change in Vegetation Cover in Loess Hilly Region[J].Research of Soil and Water Conservation,2018,25(05):143-148.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
25
Number of periods:
2018 05
Page number:
143-148
Column:
Public date:
2018-09-06
- Title:
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Analysis of Change in Vegetation Cover in Loess Hilly Region
- Author(s):
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LI Tong, SHI Xueyi
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College of Land Science and Technology, China University of Geosciences, Beijing 100083, China
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- Keywords:
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vegetation coverage; temporal and spatial variation; transition matrix; spatial autocorrelation analysis; Loess Hilly Region
- CLC:
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S758
- DOI:
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- Abstract:
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In order to research the quantitative characteristics of mutual transformation, the study of vegetation coverage was based on two pixel models, and the transfer matrix was built based on the different levels of vegetation coverage. The entire and local Moran indices were used to analyze vegetation coverage spatial agglomeration situation in order to provide the bases for the destination of the work for vegetation recovery and protection. The results were as the followings.(1) The average vegetation coverage for the overall spatial distribution was high on the both sides, low in the middle, it was higher in the northern part than that in the southern part, and the types with low coverage and middle-low vegetation coverage were dominant in the whole vegetation cover. (2) In all of the study area, from 1991 to 2010, the proportions of bare land type, the high coverage type and middle cover type to the overall vegetation cover increased, increase of in middle coverage type was the largest; proportions of low coverage type and middle-low coverage type overall reduced, reduction of low coverage type was the largest. (3) The study area of vegetation coverage degraded in 1991-2000, improved in 2000-2010, the degradation trend had been checked. (4) The spatial aggregation of vegetation coverage increased over time, and distributed as the high value cluster and low value cluster. High value cluster and low value cluster agglomeration region shifted over time. (5) The efforts for the recovery of low vegetation coverage type should be strengthened in the whole study area.