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

作　　者：杨欣 薛华柱[1] 董国涛 刘东皓[4] 李自闯 YANG Xin;XUE Hua-zhu;DONG Guotao;LIU Donghao;LI Zichuang(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454000,Henan,China;Heihe Water Resources and Ecological Protection Research Center,Lanzhou 730030,China;Yellow River Conservancy Commission,Yellow River Institute of Hydraulic Research,Zhengzhou 450003,China;Xifeng Management Supervision of Soil and Water Conservation in the Yellow River,Xifeng 745000,Gansu,China)

机构地区：[1]河南理工大学测绘与国土信息工程学院,河南焦作454000 [2]黑河水资源与生态保护研究中心,兰州730030 [3]黄河水利委员会黄河水利科学研究院,郑州450003 [4]黄河水土保持西峰治理监督局,甘肃西峰745000

出　　处：《生态学杂志》2024年第6期1576-1586,共11页Chinese Journal of Ecology

基　　金：国家自然科学基金项目(51779099);国家重点研发计划项目(2016YFC0402400)资助。

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。Qilian Mountains is an important ecological security barrier in northwest China.In order to reveal the status 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 Qilian 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 explanatory power of 69.6%and 61.9%,respectively.The interaction between annual precipitation and elevation had a significant 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 

分 类 号：Q948[生物学—植物学]