1982—2020年黄河流域植被变化特征及驱动因素  

Characteristics of vegetation changes and their drivers in the Yellow River basin from 1982 to 2020

作　　者：王紫荆 徐梦珍[1] 胡宏昌[1] 张向萍 WANG Zijing;XU Mengzhen;HU Hongchang;ZHANG Xiangping(Department of Hydraulic Engineering,Tsinghua University,Beijing 100084,China;Yellow River Institute of Hydraulic Research,Zhengzhou 450003,China)

机构地区：[1]清华大学水利水电工程系,北京100084 [2]黄河水利科学研究院,河南郑州450003

出　　处：《水科学进展》2023年第4期499-509,共11页Advances in Water Science

基　　金：国家自然科学基金资助项目(U2243222);清华大学-宁夏银川水联网数字治水联合研究院专项统筹重点项目(SKL-IOW-2022TC2009)。

摘　　要：植被是黄河流域复杂人地耦合系统中的关键因子,其绿度增加备受关注。选择1982—2020年美国国家海洋和大气管理局(National Oceanic and Atmospheric Administration,NOAA)气候数据记录(Climate Data Record,CDR)归一化植被指数(Normalized Difference Vegetation Index,NDVI)逐日数据集,提取植被年际变化指标,并补充Savitzky-Golay滤波与双logistic模型相结合的遥感物候学方法提取植被年内指标,量化年际和年内变化趋势,并利用k均值聚类方法归纳植被变化特征,分析引起植被变化的不同驱动因素。结果表明:融合的年内特征提取方法适用于黄河流域多种植被类型,识别率达98%,年内特征空间分异及时间变化特征可指示不同气候区生态工程与农业活动的差异;进一步将黄河流域植被变化划分为5类生态工程主导与2类农业活动主导,农业活动主导类的植被指标变化显著性与生态工程相当,农业集约化是黄河流域植被研究中不可忽略的重要因素。黄河流域人地关系紧张,在突出的水-粮食-生态矛盾下,需要重视农业用水的优化与保障。Vegetation is a key component of the complex coupled human-nature system,and there is a prominent greening trend in the Yellow River basin(YRB).We used the NOAA Climate Data Record(CDR)of AVHRR Normalized Difference Vegetation Index(NDVI)daily dataset from 1982 to 2020 and applied a land surface phenology method to investigate the differentiation of the human-nature relationship in the YRB from a vegetation perspective.To extract vegetation intra-annual indices,we applied a land surface phenology method that integrates the Savitzky-Golay filter and double logistic fitting,in addition to the traditional annual vegetation index based on annual NDVI series.We analyzed the trend of the inter-annual and intra-annual vegetation indices and summarized the typical types of vegetation changes using k-means clustering.We also conducted an analysis of the driving factors behind the different vegetation changes.Our results demonstrated that the integrated intra-annual indices extraction method is suitable for various vegetation types in the YRB,achieving a high recognition rate of 98%.The spatial and temporal variations in the extracted intra-annual indices revealed differences in ecological engineering and agricultural activities under distinct climatic conditions.We identified five types of ecological engineering-dominated vegetation changes and two types of agricultural-dominated vegetation changes,and found that the significance of agricultural vegetation changes was comparable to that of ecological engineering.Agricultural intensification is a critical factor that cannot be ignored in vegetation research of the YRB.Given the tense relationship between humans and nature,and the severe water-food-ecological contradictions in the YRB,it is crucial to optimize agricultural water use and ensure food security.

关 键 词：植被变化 遥感数据集 NDVI 生态工程 农业集约化 黄河流域 

分 类 号：TV122[水利工程—水文学及水资源]