大兴安岭植被净第一性生产力估算与动态分析

Estimation and Dynamic Analysis of Vegetation Net Primary Productivity in Daxing'an Mountain

植被净第一性生产力在全球变化研究中扮演着重要的角色,NPP的估算与分析对于研究全球生态系统碳循环和区域气候变化具有重要意义。本文借助MODIS卫星传感器提供的归一化植被指数NDVI数据和大兴安岭地区的气象数据等为研究资料,通过构建CASA模型对大兴安岭地区不同类型植被的NPP进行了模拟估算,并通过地理信息系统等研究工具研究了该地区2010年生长季（5~9月份）不同植被NPP分布随时间的动态变化,和总体植被的NPP空间分布状况。大兴安岭地区植被生长期NPP总体平均值为318.29 g C/m2·a。从空间分布格局看,全区植被NPP空间分布差异较为明显。不同植被类型的NPP具有明显差异,生长期NPP总体平均值森林〉草甸〉灌木〉农作物。不同植被类型5~9月NPP随时间动态变化的趋势基本一致,植被NPP最大峰值出现在在6~7月份之间。最后对模型计算结果与实测植被NPP数据、Modis数据的NPP产品及其他学者的估测结果进行比较,结果基本一致。

Net primary productivity（ NPP） plays an important role in the research of global change,which has great significance for studying carbon cycle of global ecosystem,ecological environment,and regional climate change. In this paper,a CASA model for Daxing＇an Mountain was established to simulate the NPP of different types of vegetation based on the data of normalized vegetation index（ NDVI） data provided by EOS satellites and meteorological data in this region. With the help of the research tool of Geographic Information System,the dynamic change of NPP of different vegetations in the growing season（ from May to September） in 2010 and the whole NPP＇s spatial distribution were studied. The average NPP value of the Daxing＇an Mountain in the growing season was up to318. 29 g C /（ a·m2）. From the spatial distribution pattern of vegetation,the spatial distribution of the total NPP was significantly different and there were obvious differences among the NPP of different vegetation types. The order of total NPP average was meadow 〉forest 〉bush〉 crop. The change tendency of NPP values of different vegetation types from May to September was consistent. The peak value of vegetation NPP occurred between June and July. Finally,the model estimation results were compared with the observed data,MODIS data,and other scholars＇ data,and found that the results were basically the same.