湖北农业科学 ›› 2024, Vol. 63 ›› Issue (5): 30-36.doi: 10.14088/j.cnki.issn0439-8114.2024.05.006

• 资源·环境 • 上一篇    下一篇

2001—2020年黄土高原气候对植被NDVI空间异质性的影响

李俞, 张翀, 田晓凤   

  1. 宝鸡文理学院/陕西省灾害监测与机理模拟重点实验室,陕西 宝鸡 721013
  • 收稿日期:2023-05-25 出版日期:2024-05-25 发布日期:2024-06-04
  • 通讯作者: 张 翀(1986-),男,讲师,博士,主要从事资源环境遥感与GIS研究,(电子信箱)zhangch3348@126.com。
  • 作者简介:李 俞(1996-),女,陕西西安人,在读硕士研究生,主要从事植被遥感方面的研究,(电话)17868877226(电子信箱)2759577303@qq.com;
  • 基金资助:
    陕西省社会科学基金项目(2020D008); 陕西省自然科学基础研究计划项目(2021JM-513); 陕西省教育厅科学研究计划项目(21JK0475); 宝鸡文理学院第十五批校级教改资助项目(YJ20JGYB12)

Effect of Loess Plateau climate on the spatial heterogeneity of NDVI from 2001 to 2020

LI Yu, ZHANG Chong, TIAN Xiao-feng   

  1. Baoji University of Arts and Sciences/Shaanxi Key Laboratory of Disasters Monitoring & Mechanism Simulation, Baoji 721013, Shaanxi, China
  • Received:2023-05-25 Published:2024-05-25 Online:2024-06-04

摘要: 选用2001—2020年归一化植被指数(Normalized difference vegetation index, NDVI)和气候数据,通过地理加权法探究黄土高原气候变化对植被及其变化趋势的影响。结果表明,黄土高原NDVI与地表温度在空间上具有非平稳关系,NDVI与温度指标的回归系数主要以负值为主,主要集中在北部的内蒙古高原,空间正相关则集中分布于胡焕庸线以南区域;对比不同气候指标的标准化系数可知,降水量是黄土高原植被变化的主要因素,占黄土高原总面积的30.90%,植被受水分控制作用较为显著的区域主要集中在黄土高原中北部的内蒙古高原及西部祁连山附近;而黄土高原中南部植被活动的主导因素为气温,面积占42.91%,其中最高气温对NDVI的主导区域范围最广,影响区包括甘肃省东部、陕西省中部、山西省南部及河南省,其植被主要以农业和林业为主,降水量充沛,随着温度的升高,植被活动均有所增强。NDVI变率与气候变率的回归结果表明,黄土高原气温增高对植被的生长起到促进作用的区域较广;但黄土高原西北部也存在气温和降水量减少而植被却表现为增长趋势的情况。

关键词: NDVI, 空间异质性, 气候变化, 地理加权回归, 黄土高原

Abstract: Based on the normalized difference vegetation index (NDVI) and climate data from 2001 to 2020, the effects of climate change on vegetation and vegetation change trends in the Loess Plateau were explored by geographically weighted method. The results showed that there was a non-stationary relationship between NDVI and land surface temperature in the Loess Plateau. The regression coefficient of NDVI and temperature index was mainly negative, and mainly concentrated in the northern Inner Mongolia Plateau, while the spatial positive correlation was concentrated in the south of Huhuanyong line. By comparing the standardized coefficients of different climate indicators, it could be seen that precipitation was the main factor controlling vegetation change in the Loess Plateau, accounting for 30.90% of the total area of the Loess Plateau. The areas where vegetation was significantly controlled by water were mainly concentrated in the Inner Mongolia Plateau in the northern and central part of the Loess Plateau and near the Qilian Mountains in the west. The main dominant factor of vegetation activity in the central and southern part of the Loess Plateau was the temperature, accounting for 42.91% of the total area of the Loess Plateau. Among them, the highest temperature had the widest influence on NDVI, including eastern Gansu Province, central Shaanxi Province, southern Shanxi Province and Henan Province. The vegetation in these areas was mainly agriculture vegetation and forestry vegetation, the precipitation was abundant, and with the increase of temperature, vegetation activity had increased. The regression results of NDVI variability and climate variability showed that the increase of temperature in the Loess Plateau promoted the growth of vegetation in a wide area. However, in the northwest of the Loess Plateau, the temperature and precipitation decreased while the vegetation showed an increasing trend.

Key words: NDVI, spatial heterogeneity, climate change, geographically weighted regression (GWR), Loess Plateau

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