基于3PGS-MTCLIM模型模拟根河林区火后植被净初级生产力恢复及其影响因子

doi:10.13287/j.1001-9332.201811.012

摘要/Abstract

摘要： 林火是大兴安岭林区主要的干扰因子,且对森林生态系统的碳平衡有着重要影响.火干扰强度以及不同地形条件所导致的山地气候差异是影响火后植被净初级生产力恢复过程的主导因素.本研究以内蒙古根河林区为例,使用多时相的Landsat TM遥感数据(2008—2012年)和1980—2010年间的气象资料,结合山地小气候模型MTCLIM与光能利用效率模型3PGS,模拟森林火后植被净初级生产力(NPP)的时空恢复过程,并探讨不同火烧强度和地形因子对NPP恢复进程的影响.结果表明: 3PGS-MTCLIM模型能够较准确地在小尺度范围内模拟NPP的空间分布格局,模拟结果与样地具有较好的对应关系,R²=0.828;3PGS-MTCLIM模型模拟火后NPP下降百分比在43%~80%,相对于火前NPP水平该区域的平均恢复周期大约为10年;火烧强度对火后恢复具有显著影响,火烧强度越强,NPP恢复所需要的周期越长,火后NPP恢复速度呈现先快后慢的增长趋势;地形因子中,海拔对火后NPP恢复程度的影响最明显,其次为坡度,而坡向的影响最小.

Abstract: Fire is a major disturbance factor in Daxing’anling region, with important impacts on carbon balance of forest ecosystems. Fire severity and the distinction of microclimates induced by different topography are the primary factors driving the restoration of post-fire net primary productivity (NPP). In this study, we examined the influence of fire severity and topographic factors on the restoration of forest NPP in the Genhe forest region. The spatial and temporal restoration process of post-fire NPP were simulated by combining with MTCLIM and 3PGS model based on multiyear Landsat TM satellite (2008-2012) and climate (1980-2010) data. The results showed that the 3PGS-MTCLIM model could precisely estimate the spatial distribution of NPP at small scales, with a good correlation between simulated and observed values (R²=0.828). The percentage of declined NPP in the year following the fire ranged 43%-80%, and the average NPP recovery period for this region was about 10 years by comparing pre- and post-fire NPP. Fire severity had significant impacts on post-fire recovery. The stronger the fire intensity, the longer the recovery period was needed. The NPP recovered relatively slower after a period of fast-speed recovery. Among the three topographic factors, elevation was the strongest one affecting forest NPP restoration, followed by slope and aspect.

林思美, 黄华国. 基于3PGS-MTCLIM模型模拟根河林区火后植被净初级生产力恢复及其影响因子[J]. 应用生态学报, 2018, 29(11): 3712-3722.

LIN Si-mei, HUANG Hua-guo. Simulating the post-fire net primary production restoration and its affecting factors by using MTCLIM and 3PGS model in Genhe forest region, Northeast China[J]. Chinese Journal of Applied Ecology, 2018, 29(11): 3712-3722.

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