2000~2014年海流兔河流域植被覆盖度变化及其驱动因素分析

2015-10-21 18:06:31潘桂行乔晓英黄金廷等
安徽农业科学 2015年31期

潘桂行 乔晓英 黄金廷等

摘要基于MODIS NDVI数据,利用线性回归法分析植被覆盖度的时空变化趋势。研究海流兔河流域2000~2014年间植被覆盖度的变化规律,确定其变化的影响因素。结果表明,研究区96.9%的区域面积NDVI处于不断上升的趋势,区域年平均NDVI增量达到0.006 5。通过转移矩阵法研究出该区3个时段4种不同等级植被覆盖度的变化趋势,各等级植被覆盖度均有不同程度的增加。NDVI值<0.40的区域面积的百分比由88.0%降低到75.8%,尤其是<0.20的区域变化最为明显,由最初占区域总面积的20.8%下降到3.5%。研究区15年来植被覆盖度不断增加,植被生态呈现良性发展趋势,导致这种变化的主要影响因素是人类活动。

关键词NDVI;时空变化;海流兔河流域;人类活动

中图分类号S181;Q948文献标识码A文章编号0517-6611(2015)31-264-04

Variation in Vegetation Cover and the Driving Factors in the Hailiutu River Catchment during 2000-2014

PAN Guixing1, QIAO Xiaoying1, 2*, HUANG Jinting3 et al

(1. School of Environmental Science and Engineering, Changan University, Xian, Shaanxi 710054; 2. Key Laboratory of Subsurface Hydrology and Ecology in Arid Areas, Ministry of Education, Xian, Shaanxi 710054; 3. Xian Center of Geological Survey, CGS, Xian, Shaanxi 710054)

Abstract Based on MODIS NDVI data, using linear regression method, temporal and spatial variation of vegetation cover was analyzed. The variation law of vegetation cover in the Hailiutu River Catchment during 2000-2014 was studied, the influencing factors of the variation were determined. The results illustrated that in a 96.9% area NDVI has a rising trend, regional annual average NDVI increase to 0.006 5. Using transfer matrix method to research the change trend of different levels of vegetation coverage in the area. The percentage of area which NDVI value is less than 0.40, reduced from 88.0% to 75.8%, especially for area of NDVI value less than 0.20, reduced from 20.8% to 3.5%. In the study area, the vegetation cover degree is increasing, and the vegetation ecology is a positive development trend, the main influencing factor of this change is human activity.

Key words NDVI; Spatial and temporal changes; Hailiutu River; Human activity

植被覆蓋度是刻画陆地表生植被数量的重要指标,其变化是区域生态系统变化的重要指标[1]。已有的研究表明,气象因子(如降水和气温等)和人类活动是植被覆盖度变化的重要影响因素[2]。由于遥感技术具有实时性、动态性和客观性等优势,近年来已成为对地观测研究的有力工具[3],特别在大尺度土地利用与植被覆盖变化规律的研究方面。遥感数据源具有信息量大、多时相性等特点,可以有效地记录植被多年的变化状况[4],为干旱与半干旱地区多年以来植被的覆盖度变化分析和预测提供数据支撑[5-6],从而为大面积监测地表植被状况的演化过程提供了技术的可能性。归一化植被指数NDVI(Normalized Difference Vegetation Index)是目前应用最为广泛的植被指数,已有研究成果表明,NDVI与植被覆盖度有着很好的线性关系[7],能够较好地反映地表植被的覆盖和变化状况[8-10],被认为是地表植被的最佳指示因子[11]。

海流兔河流域地处毛乌素沙地东南边缘地区,由于降水稀少,蒸发强烈,是生态环境极度脆弱的干旱-半干旱区。……

登录APP查看全文