摘要
基于2000、2005、2010、2015和2020年的5期MODIS NDVI数据,运用均值法、线性趋势分析法和GIS空间分析法,研究分析了祁连山年平均植被生长趋势、不同海拔差异对植被覆盖变化的影响。结果表明:祁连山整体植被覆盖度由西向东增加,西部稀疏、东部茂盛;主要植被类型为高山灌丛草甸。祁连山年际植被覆盖度有明显的改善,低覆盖度面积由34.70%降低到25.29%,高覆盖度面积从15.21%增加到23.97%,整体覆盖程度逐渐上升;2000—2020年祁连山年平均植被NDVI总体呈良好发展趋势,改善的植被占比28.19%,主要分布在东部和南部;海拔偏高和海拔偏低植被覆盖度均很低,海拔在2 000 m以上植被覆盖度较高,尤其是在海拔高度3 500~4 000 m时,植被覆盖度最高,适宜植物生长。
Based on the MODIS NDVI data from 2000 to 2020, through the extraction and analysis of pixel-by-pixel information, the average value method, linear trend analysis and GIS spatial analysis are used to study and analyze the Qilian Mountains’ annual average, vegetation growth trends, and differences in altitudes leading to the degree of vegetation coverage changes. The results of the study showed: The overall vegetation coverage of Qilian Mountains increases from west to east, sparse in the west and luxuriant in the east, and the main vegetation type is alpine scrub meadow. The inter-annual vegetation cover of Qilian Mountains has improved significantly, with the area of low cover decreasing from 34.70% to 25.29% and the area of high cover increasing from 15.21% to 23.97%, with the overall cover gradually increasing. In the past 20 years, the overall average annual vegetation NDVI of Qilian Mountains has shown a good development, with 28.19% of the improved vegetation, mainly distributed in the east and south. The vegetation coverage is very low at high altitude and low altitude, and the vegetation coverage is higher at an altitude of more than 2 000 meters, especially when the altitude is 3 500-4 000 meters, the vegetation coverage is the highest, which is suitable for plant growth.
作者
杨鹤
朱淑娴
李丽
吴巩胜
国洪艳
YANG He;ZHU Shu-xian;LI Li(School of Urban and Environment,Yunnan University of Finance and Economics,Kunming,Yunnan 650221;Wildlife Management and Ecosystem Health Center,Yunnan University of Finance and Economics,Kunming,Yunnan 650221;Heping County Land Improvement Center,Heyuan,Guangdong 517200)
出处
《安徽农业科学》
CAS
2022年第21期90-95,118,共7页
Journal of Anhui Agricultural Sciences
基金
2018年林业改革发展资金珍稀濒危野生动物保护救助补助项目“大型兽类分布变迁调查专题”(80026091687)。
