摘要
植被是陆地生态系统的重要组成部分,其覆盖状况与气候变化密切相关。为探究祁连山东段天祝县植被对气候变化的响应,基于2005 2018年MODIS-NDVI数据集和同期气象数据,运用Pearson相关性分析法探究该地区NDVI与气候因子的关系。结果表明:近14年内祁连山东段天祝县每年生长季的NDVI一直呈递增趋势,其年均增长率为0.794%,且以7月NDVI为全年最大值;通过像元二分模型提取的植被覆盖度可知,各类植被覆盖度均值占比以Ⅴ级(45.25%)为主,其次为Ⅳ级(20.71%), Ⅲ级(15.59%), Ⅱ级(14.64%), Ⅰ级(3.50%),且Ⅲ级以上植被覆盖度在近14年里整体呈现缓慢增长趋势;经Pearson相关性分析发现,区域降雨量与年际及月际NDVI之间呈现显著正相关性,而气温与仅与月际NDVI之间呈现较弱负相关性,但月际NDVI对降雨量和气温的响应均存在一定滞后性。相对于气温,研究区NDVI对降雨量的响应更为敏感,这为后期通过人工降雨来改善当地生态环境提供参考。
The cover condition of vegetation, an important part of terrestrial ecosystem, is closely related to climate change. In order to explore the response of vegetation to climate change in the Wushaoling plateau of Qilian mountains, this study, based on the MODIS-NDVI data set and the corresponding meteorological data from 2005 to 2018, researched the relationship between NDVI and climate factors in this area through Pearson correlation analysis. The results showed that the NDVI in the growing season of vegetation in the Wushaoling plateau of Qilian mountains has been increasing in the past 14 years with an average annual growth rate of 0.794%, and the NDVI in July was the maximum of the whole year. According to the vegetation coverage extracted by the dimidiate pixel model, the average proportion of all types of vegetation coverage was mainly grade Ⅴ(45.25%), followed by grade Ⅳ(20.71%), grade Ⅲ(15.59%), grade Ⅱ(14.64%), and grade Ⅰ(3.50%). Moreover, the vegetation coverage above grade Ⅲ has shown a slow growth trend in the past 14 years. Pearson correlation analysis indicated that regional rainfall had a significant positive correlation with inter-annual and inter-monthly NDVI, while temperature had a weak negative correlation only with inter-monthly NDVI, whose response to both rainfall and temperature had a certain lag. Compared with temperature, NDVI in the research area was more sensitive to the response of rainfall, which provided reference for the improvement of local ecological environment through artificial rainfall in the later period.
作者
罗超
酒金柱
胡辉
李坤鹏
强平
LUO Chao;JIU Jinzhu;HU Hui;LI Kunpeng;QIANG Ping(Huazhong University of Science and Technology,School of Environmental Science&Engineering,Wuhan 430074,China)
出处
《生态科学》
CSCD
2021年第3期74-81,共8页
Ecological Science
基金
国家重点研发计划项目(2016YFC0401004)。
关键词
归一化植被指数
降雨量
气温
相关性分析
像元二分模型
天祝县
normalized difference vegetation index
rainfall
temperature
correlation analysis
dimidiate pixel model
Tianzhu County
