广西植被时空变化及其对气候响应
Spatial-temporal variation of vegetation and relations with climate change in Guangxi
廖春贵 1胡宝清 1熊小菊 1陈依兰 1陈月连 1孙建飞1
作者信息
- 1. 广西师范学院北部湾环境演变与资源利用教育部重点实验室,广西 南宁530001
- 折叠
摘要
植被是生态系统中的主要组成部分,是连接土壤圈、大气圈和生物圈的纽带,植被的时空变化及分布影响着地球的水、碳等物质循环和光、热等能量循环.以遥感数据为基础,应用遥感图像处理平台和ArcGIS软件,提取广西壮族自治区2007—2016年的归一化植被指数(NDVI)值.通过一元线性回归方法、偏相关方法,对比分析不同地质类型、植被类型的NDVI值变化特征及其对气候的响应.结果表明,2007—2016年广西NDVI值在0.78~0.82之间波动变化,呈上升趋势,高植被覆盖区面积最大,低植被覆盖区面积最小;岩溶区植被覆盖得到改善,植被覆盖改善的面积大于退化的面积,其中NDVI轻度增加的比重最大;岩溶区和非岩溶区的NDVI变异程度以稳定为主;NDVI与降水、气温的正偏相关性与负偏相关性并存,呈负偏相关的面积大于正偏相关的面积.
Abstract
Vegetation is the main component in the ecosystem which is the link point among pedosphere, atmosphere and biosphere,the vegetation distribution changes of time and space affects the earth material cycle,including water,carbon and others, and energy cycle such as light and heat. Based on the remote sensing data and meteorological data, and remote sensing image processing platform and ArcGIS software,the normalized vegetation index of Guangxi region was extracted from 2007 to 2016. The vegetation change trend was analyzed using a linear regression method and partial correlation method. The results showed that:NDVI value of Guangxi vegetation was between 0.78-0.82 from 2007 to 2016 presenting a rise trend,high vegetation coverage area was the largest and low vegetation coverage area was the smallest. Karst area vegetation cover has improved that the improved area of vegetation cover was more than the degrade area, the vegetation cover degree of variation in Karst and non-Karst area was given priority to stability. Vegetation NDVI was partial correlation with precipitation, temperature and minus partial correlation, negative partial correlation area was greater than the positive correlation.
关键词
NDVI/变化趋势:相关分析/地质/广西Key words
normalized difference vegetation index/change tendency/correlation analysis/geology type/Guangxi引用本文复制引用
基金项目
国家重点研发计划(2016YFC0502401)
国家自然科学基金(21661021)
国家自然科学基金(41701605)
广西自然科学基金(2017GXNSFBA198169)
广西自然科学基金创新团队项目(2016JJF15001)
广西师范学院大学生创新创业大赛区级项目(201710603260)
出版年
2018
国家科技期刊平台
NSTL
维普
万方数据