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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塑造欧洲东北天然森林生态系统动态

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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模拟模型用于区域规模评估俄罗斯北部森林生态系统中碳和氮气平衡的基本特征动态。选择了两种森林严格的自然保护区作为案例研究。来自国家森林库存的数据用于模型初始化。初始土壤数据从土壤调查数据库中取出,其中包含有机层和矿物土壤中的土壤有机物质和氮含量的数据,用于不同的森林类型和欧洲俄罗斯地区。标准气象数据被用作气候投入。两种模拟场景(没有干扰和森林火灾)与2个气候(实际气候和气候变化的情况)相结合。分析了主要不确定性的主要来源,评估了模型参数。蒙特卡罗程序被应用于评估系数的稳健性。仿真结果表明,在没有干扰的情况下,场景中最大的碳积累发生。通过直接和间接二氧化碳排放,烧制导致土壤有机质和树木生物量显着损失。模拟气候变化导致土壤有机质的分解率增加,植被生产率的相关增加;然而,对于该地区,碳平衡为阳性。这主要是因为年轻人和中年展台在建模的区域中普遍存在。完全分析将需要在同一方案的气候变化和森林火灾方案中获得成熟和过度成熟森林的可能动态的分析数据。

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