1. 内蒙古师范大学地理科学学院,呼和浩特,010022
2. 内蒙古师范大学内蒙古自治区遥感与地理信息系统重点实验室,呼和浩特,010022
3. 内蒙古乌兰察布市城市规划地理信息中心,内蒙古,乌兰察布,012000
4. 北京师范大学资源学院,北京,100875
纸质出版:2016
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元志辉, 雷, 包, 等. 土地利用/覆盖变化对浑善达克沙地植被覆盖度的影响[J]. 水土保持学报, 2016,30(6):330-338.
YUAN Zhihui1, 2, 4, et al. The Impacts of Land Use/Cover Change on Vegetation Coverage in the Otindag Sandland[J]. 2016, 30(6): 330-338.
元志辉, 雷, 包, 等. 土地利用/覆盖变化对浑善达克沙地植被覆盖度的影响[J]. 水土保持学报, 2016,30(6):330-338. DOI: 10.13870/j.cnki.stbcxb.2016.06.055.
YUAN Zhihui1, 2, 4, et al. The Impacts of Land Use/Cover Change on Vegetation Coverage in the Otindag Sandland[J]. 2016, 30(6): 330-338. DOI: 10.13870/j.cnki.stbcxb.2016.06.055.
利用卫星遥感资料,估算了浑善达克沙地2000—2014年生长季(4—10月)植被覆盖度(Vegetation coverage
VC),并对其时空变化特征进行了分析,讨论了气候因子和土地利用/覆被变化对植被盖度的影响。结果表明,14年间研究区生长季的植被盖度呈波动增加趋势,多年平均VC为0.423,年平均递增率为0.003 6。在空间分布上,研究区的北部、中部和南部边缘区域的植被覆盖度增加趋势较明显,而东部和西部部分区域未发生明显的趋势性变化。研究区植被盖度变化趋势与降水量呈正相关,其相关系数为0.86,是驱动植被覆盖度年际波动的直接因素。植被盖度变化趋势与温度呈负相关,相关系数为-0.42。以研究区2000,2006,2013年3期遥感影像为信息源,在3S技术支持下,对不同时期土地利用动态变化进行分析。草地是土地利用的主要类型,占研究区总面积的85.42%。近14年来,草地、林地的增加幅度较大,分别由29 637.30,58.24 km2增加到30 619.36 km2,64.43 km2。除了建设用地,其他类型的面积均出现不同程度的减少。主要土地利用转移方向为耕地转化为草地和林地,未利用地转化为草地和水域。高覆盖度草地、林地及耕地呈现增加趋势。土地利用变化与植被覆盖度变化有密切的关系,浑善达克沙地合理的土地利用是影响其植被覆盖度出现增加趋势的重要影响因素之一。
Using remote sensing data
we estimated sandland vegetation coverage (VC) during the growing season from 2000 to 2014 in the Otindag Sandland
and analyzed the spatial-temporal characteristics of VC. Impacts of climatic factors and land use/cover change on the sandland VC were primarily distinguished by statistical analysis. The results showed that the sandland VC was increased with fluctuations during the growing season in the Otindag Sandland from 2000 to 2014
the average annual VC was 0.423 in the study area with an average increase rate of 0.003 6/yr. For the spatial pattern
the VC in the northern
central and southern fringe regions of the study area showed an increasing trend
but no obvious trend was observed in the eastern and part of the western regions. As a whole
the annual VC variation was positively correlated with precipitation
the correlation coefficient was 0.86
indicating that precipitation was the dominant driving force of vegetation dynamics. The correlation coefficient between VC and temperature is -0.42. The composition of land use structure was evaluated using data derived from the Landsat images obtained in 2000
2006 and 2013 with the 3S technology. The study area was primarily comprised of grassland
which occupied 85.25% of the total study area. The results revealed that grassland and forest increased more than any other types of land (except for construction land)
with their area increasing from 29 637.30 km2 and 58.24 km2 to 30 619.36 km2 and 64.43 km2
respectively
while other types of land decreased to different degrees. Overall
these results indicated that some farmland was transformed to grassland and forest
and some unused land was transformed to grassland and water body. High-coverage grassland
forest and farmland increased in the area. The annual VC variation was correlated with land use/cover change
which was an important factor driving the VC increase in the Otindag Sandland during the study period.
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