1982-2022年祁连山植被变化及其驱动因子
Vegetation changes and driving factors in the Qilian Mountains during 1982-2022
杨欣 1薛华柱 1董国涛 2刘东皓 3李自闯1
作者信息
- 1. 河南理工大学测绘与国土信息工程学院,河南焦作 454000
- 2. 河南理工大学测绘与国土信息工程学院,河南焦作 454000;黑河水资源与生态保护研究中心,兰州 730030;黄河水利委员会黄河水利科学研究院,郑州 450003
- 3. 黄河水土保持西峰治理监督局,甘肃西峰 745000
- 折叠
摘要
祁连山是我国西北地区重要的生态安全屏障.为揭示祁连山植被覆盖变化及其驱动机制,本文通过融合GIMMS NDVI和MODIS NDVI获得1982-2022年1 km NDVI数据,并结合多时相土地利用、植被、地貌和气象数据,利用Theil-Sen趋势分析、Mann-Kendall显著性检验、最优参数地理探测器模型等方法,分析了祁连山NDVI时空变化特征与空间异质性及其驱动因素.结果表明:祁连山西北地区植被覆盖度较低,东南地区植被覆盖度较高,1982-2022年祁连山植被覆盖度明显提高,但近十年以来植被有退化的趋势;年均降水量和湿润指数是影响祁连山植被覆盖度的最主要驱动因素,解释力分别为69.6％和61.9％,年降水量和高程的交互作用对NDVI的分布有明显的影响.研究揭示了促进植被生长的驱动因子的类型或范围,为更好理解祁连山植被NDVI变化的驱动因素提供科学依据.
Abstract
Qilian Mountains is an important ecological security barrier in northwest China.In order to reveal the sta-tus and driving mechanism of vegetation cover change in the Qilian Mountains,we obtained 1-km NDVI data from 1982-2022 by integrating GIMMS NDVI and MODIS NDVI,combined with multi-temporal land use,vegetation,geomorphic and meteorological data.Using Theil-Sen trend analysis,Mann-Kendall significance test,and optimal parameter geographic detector model,we analyzed the spatio-temporal variation and spatial heterogeneity of NDVI in the Qilian Mountains.The results showed that vegetation coverage was relatively low in the northern region of Qi-lian Mountains and relatively high in the southeastern region.From 1982 to 2022,vegetation coverage in Qilian Mountains significantly increased,but appeared a trend of vegetation degradation in the past decade.The average annual precipitation and humidity index were the main driving factors affecting vegetation coverage,with explana-tory power of 69.6％and 61.9％,respectively.The interaction between annual precipitation and elevation had a sig-nificant impact on the distribution of NDVI.This study revealed the types or ranges of driving factors that promote NDVI growth,providing scientific basis for better understanding the driving factors of NDVI changes in vegetation in the Qilian Mountains.
关键词
植被变化/驱动因子/NDVI/最优参数地理探测器/祁连山Key words
vegetation change/driving factor/NDVI/geographic detector with optimal parameters/Qilian Mountains引用本文复制引用
基金项目
国家自然科学基金(51779099)
国家重点研发计划(2016YFC0402400)
出版年
2024
国家科技期刊平台
NSTL
万方数据