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    IBIS 模拟集水区尺度的东北东部森林净初级生产力

    Simulation of net primary productivity in forests at catchment scale in the east part of northeastern China using IBIS.

    • 摘要: 为使IBIS(integrated biosphere simulator)模型更好地体现碳循环过程的空间异质性,引入GIS 技术,改进了 IBIS 模型的土壤水分再分配和地表太阳辐射计算模块,增加了地形分析模块。在气象、地形、植被和土壤等数据的 支持下,利用改进后的模型估算了2004 年张家沟集水区森林净初级生产力(NPP),分析了森林NPP 空间分布格局 及其随地形因素的变化。结果表明:改进后的IBIS 模型适用于东北东部集水区森林NPP 的模拟估算;研究区2004 年森林NPP 在空间上大体呈现为东北和西北2 区域高,逐渐向中心沟谷地区减少;森林NPP 年平均值为375 g/ (m2· a),NPP 年总量为541郾72 t/ a;各植被类型中,杨桦林的年平均NPP 最高(405 g/ (m2·a)),杂木林最低(336 g/ (m2· a));从地形因素看,海拔高度和坡度对森林NPP 影响不大,而坡向对森林NPP 影响最明显,阳坡的森林NPP 较阴 坡高41%。

       

      Abstract: In order to make the IBIS ( integrated biosphere simulator) model better reflect the spatial heterogeneity of carbon cycling process, GIS technology was introduced, redistribution module of soil water and calculation module of solar radiation received by ground surface were modified, and terrain analysis module was added into IBIS in this study. Based on meteorology, topography, vegetation and soil data, net primary productivity (NPP) of forests was estimated, and the spatial pattern of NPP of forests in 2004 and its response to topographic factors were analyzed by using the improved IBIS model in the Zhangjiagou Catchment, east part of northeastern China. The results showed that the improved IBIS model can be applied to simulate and estimate NPP of catchment forests in the east part of northeastern China. The spatial pattern of NPP of forests generally presented that northeast and northwest area had the high values, and then gradually decreased in the central valley parts in 2004. The annual mean NPP of forests was 375 g/ (m2·year) and its total amount was 541郾72 t/ year in the Zhangjiagou Catchment in 2004. Among the different forest types, the aspen鄄birch forest had the highest annual mean NPP (405 g/ (m2·year)), while the mixed deciduous forest had the lowest one (336 g/ (m2·year)). Among the topographic factors, the altitude and slope had little effect on NPP of forests, while the aspect exerted significant impact on NPP of forests. Furthermore, NPP of forests on sunny slope was 41% higher than that on shady slope.

       

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