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.
科尔沁沙地植被覆盖变化及其与气候因子的关系研究
- Title:
- Research for Vegetation Cover Change of Horqin Sandy Land and its Relationship with the Climate Factors
- Keywords:
- Horqin sandy land; SAVI; climate factors; information entropy; spatial-temporal variability
- 分类号:
- Q948.112
- 摘要:
- 干旱半干旱地区生态系统脆弱，植被覆盖变异性大，明晰荒漠化地区植被覆盖变化，进一步确定其时空变异性和气候因子之间的关系，可为荒漠化防治提供理论依据。以我国北部荒漠化典型地区科尔沁沙地为研究区，利用中分辨率成像光谱辐射计（Moderate Resolution Imaging Spectroradiometer，MODIS）地表反射率产品数据，提取土壤调节植被指数（SAVI），结合信息熵理论，分析了研究区SAVI时空变异性，进一步通过相关分析明确研究区植被覆盖变化和气候因子的关系。整体上，研究区植被生长状况东部好于西部，南部好于北部。植被覆盖时空变异性在时间上以2000年最大，2005年最小；空间上以研究区西部南缘最大，东部南缘最小。降雨量、气温均与SAVI呈正相关，其中降雨对于SAVI的影响较大。
- 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.
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备注/Memo
收稿日期:2011-11-19;改回日期:2012-1-9。
基金项目:国家自然科学基金重点项目（51139002）；内蒙古自治区自然科学基金（2011BS0607）；科技部国际科技合作项目（2008GR1043）
作者简介:魏丰良（1984- ），男，河北沧州人，硕士研究生，主要从事水文水资源系统模拟研究。E-mail：weifengling05@126.com
通讯作者:刘廷玺（1966- ），男，内蒙古赤峰人，教授，主要从事水文水资源系统模拟研究。E-mail：txliu1966@163.com