1983-2022年中国植被变化驱动力的演变  

Evolution of Driving Forces for Vegetation Change in China During the Period from 1983-2022

作　　者：刘荣 孙建国 潘蓉 胡博洋 蔡沛恒 LIU Rong;SUN Jianguo;PAN Rong;HU Boyang;CAI Peiheng(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;National-local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070,China;Gansu Key Laboratory of Science and Technology in Surveying&Mapping,Lanzhou 730070,China)

机构地区：[1]兰州交通大学测绘与地理信息学院,兰州730070 [2]地理国情监测技术应用国家地方联合工程研究中心,兰州730070 [3]甘肃省测绘科学与技术重点实验室,兰州730070

出　　处：《兰州交通大学学报》2025年第2期147-154,共8页Journal of Lanzhou Jiaotong University

基　　金：甘肃省地表覆盖变化自动监测关键技术研究(20YF3GA013)。

摘　　要：掌握长时间尺度上植被变化驱动力的演变,对于实施生态治理工程至关重要。基于GIMMS NDVI3g数据和ERA5-Land的气温、降水和太阳辐射数据,采用PolyTrend算法和改进的RESTREND方法分析1983-2022年中国植被变化时空特征及其驱动力演变。结果表明:近40年中国植被整体增长显著;气候变化和人类活动的共同作用是中国植被增加的主要驱动力,单独的人类活动是中国植被减少的主要驱动力;植被呈非线性变化的像元占总植被像元的50.6%,主要集中在东北地区、青藏高原、黄土高原、四川盆地及云贵高原;植被ID、DI、IDI和DID变化区域上占比最多的驱动力变化类型分别为DH、HD、DHD和HDH,可见气候变化和人类活动的共同作用主要影响着植被非线性变化中的增加阶段,单独的人类活动主要影响着植被非线性变化中的减少阶段。研究结果建议应更加重视人类活动在植被改善中的作用。Exploring the evolution of driving forces behind vegetation changes over a long time scale is crucial for implementing ecological governance projects.Based on GIMMS NDVI3g data and ERA5-Land temperature,precipitation,and solar radiation data,the PolyTrend algorithm and improved RESTREND method were used to analyze the spatiotemporal characteristics and driving force evolution of vegetation changes in China during the period from 1983-2022.The results indicate that:In the past 40 years,the overall growth of vegetation in China has been significant;The combined effect of climate change and human activities is the main driving force behind the increase of vegetation in China,while individual human activities are the main driving force behind the decrease of vegetation in China;The pixels with non-linear vegetation changes account for 50.6% of the total vegetation pixels,mainly in the Loess Plateau,North China Plain,Qinghai Tibet Plateau,Sichuan Basin and Northeast China;The types of driving force changes with the highest proportion of vegetation ID,DI,IDI,and DID change areas are DH,HD,DHD,and HDH,respectively.It can be seen that the combined effects of climate change and human activities mainly affect the increasing stage of vegetation nonlinear changes,while individual human activities mainly affect the decreasing stage of vegetation nonlinear changes.The research results suggest that more attention should be paid to the role of human activities in vegetation improvement.

关 键 词：植被变化 驱动力演变 非线性 残差趋势法 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]