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Modeling the dynamics of natural forest ecosystems in the northeast of European Russia under climate change and forest fires

机译:在气候变化和森林火灾下模拟欧洲俄罗斯东北部天然森林生态系统的动态

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The individual-based EFIMOD simulation model was used for regional-scale assessments of the dynamics of basic characteristics of the carbon and nitrogen balance in the forest ecosystems of north central Russia. Two forest strict nature reserves were chosen as case studies. Data from the National Forest Inventory were used for model initialization. Initial soil data were taken from a soil survey database containing data on soil organic matter and nitrogen content in the organic layer and mineral soil for different forest types and regions of European Russia. Standard meteorological data were used as climatic inputs. Two simulation scenarios (without disturbances and with forest fires) were coupled with 2 climatic ones (actual climate and the scenario of climate change). The main sources of uncertainty were analyzed and the model parameters were evaluated. A Monte Carlo procedure was applied for evaluation of the robustness of coefficients. Simulation results showed that the greatest carbon accumulation occurred in the scenario without disturbances. Fires resulted in significant losses in soil organic matter and tree biomass through direct and indirect carbon dioxide emissions. Simulated climate change led to an increased decomposition rate of soil organic matter and a related increase in the productivity of vegetation; however, for this region, the carbon balance was positive. This was primarily because young and middle-aged stands are prevalent in the region modeled. A full analysis would require analytical data on the possible dynamics of mature and over-mature forests in the same scenarios of climate change and forest fires.
机译:基于个体的EFIMOD模拟模型用于对俄罗斯中北部森林生态系统中碳氮平衡基本特征的动力学进行区域规模评估。选择了两个森林严格的自然保护区作为案例研究。来自国家森林清单的数据用于模型初始化。最初的土壤数据来自土壤调查数据库,该数据库包含有关欧洲俄罗斯不同森林类型和地区的有机层和矿质土壤中有机质和氮含量的数据。标准气象数据被用作气候输入。两种模拟情景(无干扰和森林火灾)与两种气候情景(实际气候和气候变化情景)结合在一起。分析了不确定性的主要来源,并评估了模型参数。蒙特卡罗程序被用于评估系数的鲁棒性。仿真结果表明,在没有干扰的情况下,最大的碳积累发生了。火灾通过直接和间接的二氧化碳排放导致土壤有机质和树木生物量的重大损失。模拟的气候变化导致土壤有机质分解速率增加,植被生产力相应提高;但是,对于该地区,碳平衡为正。这主要是因为在模型区域中青壮年林分盛行。要进行全面分析,就需要在相同的气候变化和森林大火情况下,提供有关成熟和过度成熟森林可能动态的分析数据。

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