论文部分内容阅读
根据黑龙江省黑河地区2005和2010年1390块固定样地数据和东北地区树种生物量异速模型,估算各样地单位面积森林地上生物量(AGB)和净初级生产力(NPP).结合该地区2005和2010年两期ETM+遥感图像,运用地统计克里格与协同克里格法对AGB和NPP进行插值,比较多种方差函数的拟合效果,并用最佳插值方法得出该地区AGB和NPP的分布图;通过两期分布图的对比,分析该区域AGB和NPP随时间和空间的动态变化趋势,及其与地形因子(坡向、坡度、海拔)和不同林分类型的时空变化规律.结果表明:2005—2010年,黑河地区AGB呈现增加趋势,高于40 t·hm~(-2)的生物量面积明显增加;NPP有所下降,出现高NPP地区向低NPP地区转变的现象.AGB和NPP与各地形因子均有一定的相关性,其中,与海拔的相关性明显,说明AGB和NPP的分布受海拔影响显著.研究期间,AGB在各个坡向均有所提高,NPP则降低;AGB和NPP随着坡度增大、海拔增高有增加趋势;常绿针叶林AGB和NPP增长最多,针阔混交林AGB增长最少,落叶阔叶林NPP增长最少.
The aboveground biomass (AGB) and net primary productivity (NPP) per unit area were estimated based on the data of 1390 fixed plots in Heihe region of Heilongjiang in 2005 and 2010 and the model of biomass of all species in Northeast China. And ETM + remote sensing images in 2010, interpolation of AGB and NPP using geostatistical kriging and co-kriging methods were performed to compare the fitting effects of multiple variance functions. The optimal interpolation method was used to derive AGB and NPP Through the comparison of the two periods, the trend of spatial variation of AGB and NPP over time and space, and the spatial and temporal variation with topographic factors (slope, slope, elevation) and different forest types were analyzed. The results showed that from 2005 to 2010, the AGB of Heihe River increased and the biomass above 40 t · hm -2 increased obviously. The NPP decreased and changed from high NPP to low NPP. AGB and NPP had some correlation with each landform factor, of which, the correlation with altitude was obvious, which indicated that the distribution of AGB and NPP was significantly affected by altitude. During the study period, AGB increased in every aspect and NPP decreased ; AGB and NPP with the slope increases, There was an increasing trend in elevation; the growth of AGB and NPP in evergreen coniferous forest was the highest, the growth of AGB in coniferous and broad-leaved mixed forest was the least, and the NPP in deciduous broad-leaved forest was the least.