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Position: Home > Articles > 基于光能利用率模型的甘南州植被净初级生产力研究 Pratacultural Science 2019 (1) 2455-2465

基于光能利用率模型的甘南州植被净初级生产力研究

作  者：
许静;陈迪;李文龙;魏巍
单  位：
草地农业生态系统国家重点实验室/兰州大学草地农业科技学院;西北资源环境与区域发展研究中心/兰州财经大学农林经济管理学院
关键词：
甘南州;净初级生产力;光能利用率模型;植被类型;地形因子
摘  要：
作为反映生态过程的关键指标,植被净初级生产力(NPP)的动态变化对于了解生态系统碳循环及气候变化具有重要的意义.本研究基于遥感(RS)/地理信息系统(GIS)技术,利用改进的光能利用率模型研究了甘南州2011–2014年植被NPP,在对比验证的基础上,分析了甘南州植被NPP时空分布格局及其与地形因子之间的关系.结果表明,改进后的光能利用率模型能够较好地模拟研究区的植被NPP,可以用于大区域长时间尺度的模拟.2011–2014年甘南州植被平均NPP为478.26 g C·(m~2·a)–1.在一年中,植被NPP日均值呈先增加后降低的趋势,且在7月达到最大值;NPP累积值从5月开始快速增加,并在10月后趋于稳定.在空间上,东南部山区NPP平均值较大,北部农区、农牧交错带和西南部高海拔地区相对较小.随海拔升高和坡度增加,NPP均呈先增后减的趋势;所有坡向中,NPP在北坡最大,南坡最小.
作  者：
XU Jing;CHEN Di;LI Wenlong;WEI Wei;Northwest Research Center for Resources, Environment and Regional Development/College of Agriculture &Forestry Economics and Management, Lanzhou University of Finance and Economics;Key Laboratory of Grassland Farming Systems/College of Pastoral Agriculture Science and Technology,Lanzhou University;
关键词：
Gannan;;vegetation NPP;;light use efficiency model;;vegetation types;;terrain factors
摘  要：
As an important index reflecting ecological process, the dynamic changes in vegetation net primary productivity(NPP) play an important role in understanding the carbon cycle of ecosystems and global climatie change. By using RS and GIS techniques, an improved light use efficiency model was used to estimate the vegetation NPP in Gannan from 2011 to2014. In addition, the connections between the spatial and temporal distribution patterns of vegetation NPP and primary terrain factors were discussed in this study. The results showed that the improved light use efficiency model provided a better simulation of the vegetation NPP in Gannan and that it also could be used in large-areas and for long-term simulations. The average annual vegetation NPP from 2011 to 2014 was 478.26 g C·(m2·a)–1. Over a year the daily mean NPP of vegetation increased first and then decreased, reaching a maximum value in July; the accumulative NPP increased quickly from May and tended to be stable in October. With regard to the spatial distribution mean NPP was large in the southeast mountain area and small in the northern agricultural and farming-pastoral area and in the southwest high altitude area. As the altitude increased both the average NPP and accumulative NPP increased at first and then reduced; Over all the aspects of the slope NPP was highest on the north slope, and lowest on the south slope.

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