首页|基于MODIS数据的陕西省植被净初级生产力与实际蒸散的变化关系分析

基于MODIS数据的陕西省植被净初级生产力与实际蒸散的变化关系分析

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[目的]分析陕西省植被净初级生产力(NPP)及实际蒸散量(ET),为生态环境中碳循环、水循环特征提供理论支持.[方法]基于美国航天局(NASA)提供的净初级生产力产品(MOD17 A3)及蒸散产品(MOD16)数据,利用GIS与数理统计等方法,对陕西省2000-2014年植被NPP与ET的时空分布特征及其关系进行分析.[结果]陕西省植被NPP与ET的分布特征均为南高北低;2000-2014年陕西省植被NPP在波动中呈现上升趋势,其中陕北地区增加最大,陕南地区增加最不显著;陕西省ET年际变化呈波动状态.植被NPP与ET空间相关性较显著,陕北地区相关系数极高,而陕南地区相关性并不显著.[结论]在较为干旱区域植被NPP与ET的关系更为密切.
Analysis on Relationship Between Net Primary Productivity and Evapotranspiration Based on MODIS Data in Shaanxi Province
[Objective] Analyzing the vegetation net primary productivity(NPP) and the actual evapotranspiration(ET) in Shaanxi Province,to provide theoretical support with regard to carbon cycle,water cycle characteristics of ecological environment.[Methods] Based on data of the NASA products of net primary productivity(MOD17 A3) and evapotranspiration(MOD16),the spatial and temporal variation characteristics and relationships between NPP and ET in 2000-2014 of Shaanxi Province were analyzed by using the methods of GIS and mathematical statistics.[Results] The vegetation NPP and ET both showed a spatial distribution characteristics by gradually decreasing from the south to the north.In 2000-2014,interannual variability of Shaanxi vegetation NPP presented an increasing trend.The most significant increased region was Shanbei,the second was Guanzhong,and the lowest region was Southern Shaanxi;interannual variability of ET was not significant,and showed a trend of fluctuations.Spatial correlation between NPP and ET was significant for overall province,but regional difference existed:correlation coefficient in Shanbei region was highly significant,whereas in the southern Shaanxi region,it was not significant.[Conclusion] The vegetation NPP had closer relations with ET in arid area.

NPP(net primary productivity)ET(evapotranspiration)MODISspatial distributionShaanxi Province

王娟、何慧娟、卓静、董金芳

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陕西省农业遥感信息中心,陕西西安710014

植被NPP ET MODIS数据 空间特征 陕西省

陕西省气象局科技创新基金计划项目

2013M-18

2017

水土保持通报
中国科学院水利部水土保持研究所 水利部水土保持监测中心

水土保持通报

CSTPCDCSCD北大核心
影响因子:0.658
ISSN:1000-288X
年,卷(期):2017.37(3)
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