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2000-2015年黄河流域植被净初级生产力时空变化特征及其驱动因子
引用本文:田智慧,张丹丹,赫晓慧,郭恒亮,魏海涛.2000-2015年黄河流域植被净初级生产力时空变化特征及其驱动因子[J].水土保持研究,2019,26(2):255-262.
作者姓名:田智慧  张丹丹  赫晓慧  郭恒亮  魏海涛
作者单位:1. 郑州大学 智慧城市研究院, 郑州 450001;2. 郑州大学 水利与环境学院, 郑州 450001
摘    要:黄河流域区域性差异显著,生态系统环境脆弱敏感,研究植被NPP对其生态环境生产能力的了解具有重要意义。基于MOD17A3 NPP数据、气象数据和土地利用/覆盖类型数据,采用偏差分析、趋势分析、相关性分析及马尔科夫转移模型对黄河流域2000—2015年植被NPP的时空格局、变化趋势及驱动因子进行了研究。结果表明:(1)2000—2015年黄河流域植被年NPP均值为228.2 g C/(m2·a),变化范围为179.6~258.1 g C/(m2·a),整体上呈现微小波动增加趋势,植被NPP偏差值呈现先减少后增加的趋势;上中下游植被NPP年均值呈明显的梯度分布,即上游<中游<下游,说明中上游区域生态环境相对脆弱。(2)黄河流域植被NPP具有较强的空间分异性,呈南向北带状递减分布;上中下游植被NPP总量差异显著,其中中上游植被NPP总量约占整个流域的96%,可见中上游对整个黄河流域生态环境的影响举足轻重,故加强对中上游区域生态环境建设与保护至关重要;流域大部分地区植被NPP以增加为主要趋势。(3)流域植被NPP受气候因素中降雨影响较大,以气候因素强驱动的区域主要分布在川西高原、鄂尔多斯高原及华北平原等地区。农用地转建设用地及草地转荒漠是黄河流域植被NPP损失的主要方式,可见城市加速扩张以及过度开垦、放牧等人类活动是植被NPP损失的主要驱动力,近几年林地、草地面积有所增加,植被NPP整体上损失程度有所减小,可见实施退耕还林还草政策已见成效。

关 键 词:黄河流域  植被NPP  时空变化  气候因子  土地利用/覆盖变化

Spatiotemporal Variations in Vegetation Net Primary Productivity and Their Driving Factors in Yellow River Basin from 2000 to 2015
TIAN Zhihui,ZHANG Dandan,HE Xiaohui,GUO Hengliang,WEI Haitao.Spatiotemporal Variations in Vegetation Net Primary Productivity and Their Driving Factors in Yellow River Basin from 2000 to 2015[J].Research of Soil and Water Conservation,2019,26(2):255-262.
Authors:TIAN Zhihui  ZHANG Dandan  HE Xiaohui  GUO Hengliang  WEI Haitao
Institution:1. Smart City Institute of Zhengzhou, Zhengzhou University, Zhengzhou 450001, China;2. College of Water Conservancy and Environmental Engineering, Zhengzhou University, Zhengzhou 450001, China
Abstract:The regional differences are significant and the ecological environment is fragile and sensitive in Yellow River Basin. It is of great significance to study the vegetation net primary productivity (NPP) and to understand the production capacity of ecological environment. We used MOD17A3 NPP data, meteorological data, and land use/cover type data to investigate the spatiotemporal pattern, change trends, and driving factors of vegetation NPP in Yellow River Basin from 2000 to 2015. The data were analyzed using bias analysis, trend analysis, correlation analysis, and Markov transition model. The results showed that: (1) from 2000 to 2015, the average annual vegetation NPP for Yellow River Basin was 228.2 g C/(m2·a), ranging from 179.6 to 258.1 g C/(m2·a), showing the slightly volatile increase; the bias value of vegetation NPP showed the decreasing trend first and then the increasing trend. The average annual NPP decreased in the order: downstream > midstream > upstream, indicating that the ecological environment in the upper and middle reaches was relatively fragile; (2) vegetation NPP had a strong spatial variability in Yellow River Basin, showing a decreasing distribution from south to north; the total amounts NPP in different reaches varied significantly, decreasing in the order: midstream > upstream > downstream, so, it was crucial to strengthen the construction and protection of the ecological environment in the upper and middle reaches: vegetation NPP increased in most areas of the basin; (3) vegetation NPP was most affected by rainfall among the climatic factors. The regions strongly driven by climate factors mainly distributed in the western Sichuan Plateau, the Ordos Plateau, and the North China Plain; conversion of croplands to construction land and conversion of grasslands to desert were the main modes of losses of vegetation NPP in Yellow River Basin; it can be seen that the accelerated expansion of cities and human activities such as excessive reclamation and grazing were the main drivers of vegetation NPP losses. In the recent years, the areas of forests and grasslands have increased, and the overall NPP losses have been reduced. It can be seen that the implementation of Grain for Green Project has obtained initial success.
Keywords:Yellow River Basin  vegetation NPP  spatiotemporal variation  climate factors  land use/cover change
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