PDF Download

[1]WEI Feng-liang,LIU Ting-xi,ZHANG Sheng-wei,et al.Research for Vegetation Cover Change of Horqin Sandy Land and its Relationship with the Climate Factors[J].Research of Soil and Water Conservation,2012,19(03):254-258.

Copy

Research for Vegetation Cover Change of Horqin Sandy Land and its Relationship with the Climate Factors

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 19 Number of periods: 2012 03 Page number: 254-258 Column: Public date: 2012-06-20

Title:: Research for Vegetation Cover Change of Horqin Sandy Land and its Relationship with the Climate Factors

Author(s):: WEI Feng-liang¹, LIU Ting-xi¹, ZHANG Sheng-wei¹, DING Lei¹, CUI De-xin², ZHAO Ze-feng²; 1. Inner Mongolia Agricultural University, Hohhot 010018, China;
2. Irrigation and Drainage Water Development Center of Inner Mongolia Autonomous Region, Hohhot 010018, China

Keywords:: Horqin sandy land; SAVI; climate factors; information entropy; spatial-temporal variability

CLC:: Q948.112

DOI:: -

Abstract:: The ecological system of drought and semi-arid region area is vulnerable, and the variation of vegetation cover is obious, it is particularly important to provide a theoretical basis for combating desertification through explicating the vegetation cover pattern of desertification area and determining its variability of spatial-temporal and the relationship with climate factors. In this study, Horqin sandy land of the typical desertification in the north China was taken as study area, and soil regulate vegetation index (SAVI) was extract by using the resolution imaging spectrum radiometer (Moderate Resolution Imaging Spectroradiometer, MODIS) surface reflectivity product data, the variability of spatial-temporal of SAVI in the study area was analyzed through the information entropy theory. The relationship between the change of the vegetation cover and the climate factors was further clear by performing the correlation analysis. As a whole, growth situation of vegetation in the east of the study area was better than that in the western region, and growth situation of vegetation in the south was better than that north. The spatial-temporal variability of vegetation pattern was the largest in 2000 and was the least in 2005; and it was the largest in southwest instead of southeast on the spacial scale. Precipitation and temperatures were positively correlated with SAVI, and precipitation had the larger effect on SAVI.

References:: [1] Schlesinger W H,Reynolds J F,Cunningham G L,et al.Biological feedbacks in global desertification[J].Science,1990,247(4946):1043-1048.
[2] Zhu Z,Chen G T.The Sandy Desertification in China[M].Bejijing:Science Press,1994:250-268.
[3] Liu Z,Yan Q,Li X,et al.Seed mass and shape,germination and plant abundance in a decertified grassland in northeastern Inner Mongolia,China[J].Journal of Arid Environments,2007,69(2):198-211.
[4] Li S G,Harazono Y,Zhao H L,et al.Micrometeorological changes following establishment of artificially established artemisia vegetation on desertified sandy land in the Horqin sandy land,China and their implication on regional environmental change[J].Journal of Arid Environments,2002,52(1):101-119.
[5] 蒋德明,刘志民,寇振华.科尔沁沙地荒漠化及生态恢复研究展望[J].应用生态学报,2002,12(12),1695-1698.
[6] 田庆久,闵祥军.植被指数研究进展[J].地球科学进展,1998,13(4):327-333.
[7] Duan L,Liu T,Wang X,et al.Water table fluctuation and its effects on vegetation in a semiarid environment[J].Hydrology and Earth System Sciences,2011,8(2):3271-3304.
[8] 王正兴,刘闯.植被指数研究进展:从AVHRR-NDVI到MODIS-EVI[J].生态学报,2003,23(5):979-987.
[9] 秦鹏,陈键飞.ASTER影像提取植被信息的NDVI与SAVI法比较:以广州花都区为例[J].热带地理,2008,28(5):419-422.
[10] 张继国.降水时空分布的信息熵研究[D].南京:河海大学,2004.
[11] 董闯,粟晓玲.基于信息熵的石羊河流域降雨时空变异性研究[J].西北农林科技大学学报:自然科学版,2011,39(1):222-228.
[12] 欧春平,夏军,Huang G H.基于信息熵的流域水文要素时空变异分析研究[J].大连理工大学学报,2006,46(增刊):168-173.

Similar References:

Memo

Last Update: 1900-01-01