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太原市城区植被覆盖变化地形分异效应
陈学兄1,2, 毕如田1,2, 张小军3, 韩伟宏4
1.山西农业大学 资源环境学院, 山西 太谷 030801;2.山西农业大学 农业资源与环境国家级实验教学示范中心, 山西 太谷 030801;3.山西农业大学 园艺学院, 山西 太谷 030801;4.山西农业大学 经济管理学院/农业资源与经济研究所, 太原 030006
摘要:
[目的] 分析山西省太原市城区植被覆盖变化在高程、坡向、坡度、坡度变率、地形位和地形起伏度上的分异效应,为该市生态环境保护提供基础信息。[方法] 基于2004年8月、2007年8月、2011年8月、2014年9月、2016年9月的Landsat系列影像和ASTER GDEM数据,采用像元二分模型法估算太原市城区5个时期的植被覆盖度,对其时空动态变化特征进行分析,并结合地形面积差异修正系数分析植被覆盖变化在不同地形因子上的分异性及变化趋势。[结果] ①2004—2016年植被覆盖度以中高度覆盖度和高度覆盖度为主,二者占总面积的65%以上,总体呈显著上升趋势,植被覆盖度显著下降区主要分布在小店区和尖草坪区,而中东部和西部植被覆盖度上升较快;2007—2011年植被覆盖度减少面积为852.70 km2,增加面积为601.62 km2,总体呈退化趋势,而2004—2007,2011—2014,2014—2016年植被覆盖度增加面积超过研究区面积的1/2,植被恢复效果较好;②不同坡向上,在平地区域不同植被覆盖变化类型的分布差异较显著,其余坡向上的差异不明显;不同植被覆盖变化类型在不同高程、坡度、坡度变率、地形位和地形起伏度上的空间分布差异明显。[结论] 坡向对植被生长变化的影响不明显,而高程、坡度、坡度变率、地形位和地形起伏度对植被覆盖变化的地形效应较明显。
关键词:  植被覆盖度  地形因子  像元二分模型  地形面积差异修正系数  太原市城区
DOI:10.13961/j.cnki.stbctb.20200818.001
分类号:S157.1;TP79
基金项目:山西省高等学校科技创新项目“基于高光谱的核桃叶片氮素营养诊断研究”(2020L0136);国土资源部公益性行业科研专项资助项目(201411007);山西省重点研发计划重点项目(201703D211002-1-2);山西农业大学引进人才博士科研启动项目(2014YJ02)
Topographic Differentiation Effect on Vegetation Cover Change in Urban Districts of Taiyuan City
Chen Xuexiong1,2, Bi Rutian1,2, Zhang Xiaojun3, Han Weihong4
1.College of Resources and Environment, Shanxi Agricultural University, Taigu, Shanxi 030801, China;2.National Experimental Teaching Demonstration Center for Agricultural Resources and Environment, Taigu, Shanxi 030801, China;3.College of Horticulture, Shanxi Agricultural University, Taigu, Shanxi 030801, China;4.College of Economics&Management, Shanxi Agricultural University/Institute of Agricultural Resources and Economics, Taiyuan, Shanxi 030006, China
Abstract:
[Objective] The differentiation effects of vegetation cover change based on elevation, aspect, slope, slope change rate, terrain niche, and relief amplitude were analyzed to provide basic information for ecological environment protection in Taiyuan City, Shanxi Province.[Methods] Based on advanced spaceborne thermal emission and reflection radiometer (ASTER) global digital elevation model (GDEM) data and remote sensing data in August 2004, August 2007, August 2011, September 2014, and September 2016, the dimidiate pixel mode was used to estimate the vegetation cover in urban districts of Taiyuan City in different periods. The differentiation and changing trend of vegetation cover in terms of elevation, aspect, slope, slope change rate, terrain niche, and relief amplitude were analyzed using the correction coefficient for topographic areas.[Results] ① The vegetation coverage was mainly medium height coverage and high coverage, which accounted for more than 65% of the total area. The overall vegetation cover increased significantly from 2004 to 2016. The areas with a significant decrease in vegetation cover were mainly distributed in Xiaodian and Jiancaoping Districts, while the vegetation cover in the west and middle east areas increased rapidly. The area of vegetation coverage decreased by 852.70 km2. However, it increased by 601.62 km2 during 2007—2011, showing a general trend of degradation, while the area of vegetation coverage increased by more than one half of the study area in 2004—2007, 2011—2014, and 2014—2016, and the vegetation restoration effect was better. ② In the different aspects of the slopes, there were no obvious distribution differences in the different vegetation cover change types except in the flat land area. The spatial distribution of various vegetation cover change types for different elevations, slopes, slope change rates, terrain niches, and relief amplitudes differed obviously.[Conclusion] The effect of aspect on vegetation growth change is not obvious. However, the effects of the other topographic factors (elevation, slope, slope change rate, terrain niche, and relief amplitude) on vegetation cover change are obvious.
Key words:  vegetation coverage  topographic factors  dimidiate pixel mode  correction coefficient for topographic areas  urban districts of Taiyuan City