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Multimodel Simulations of Forest Harvesting Effects on Long-Term Productivity and CN Cycling in Aspen Forests

机译:森林采伐对白杨森林长期生产力和CN循环影响的多模型模拟

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摘要

The effects of forest management on soil carbon (C) and nitrogen (N) dynamics vary by harvest type and species. We simulated long-term effects of bole-only harvesting of aspen (Populus tremuloides) on stand productivity and interaction of CN cycles with a multiple model approach. Five models, Biome-BGC, CENTURY, FORECAST, LANDIS-II with Century-based soil dynamics, and PnET-CN, were run for 350 years with seven harvesting events on nutrient-poor, sandy soils representing northwestern Wisconsin, USA. Twenty CN state and flux variables were summarized from the modelsu27 outputs, and statistically analyzed using ordination and variance analysis methods. The multiple modelsu27 averages suggest that bole-only harvest would not significantly affect long-term site productivity of aspen, though declines in soil organic matter and soil N were significant. Along with direct N removal by harvesting, extensive leaching after harvesting before canopy closure was another major cause of N depletion. These five models were notably different in output values of the 20 variables examined, although there were some similarities for certain variables. PnET-CN produced unique results for every variable, and CENTURY showed fewer outliers and similar temporal patterns to the mean of all models. In general, this study demonstrated that when there are no site-specific data for fine-scale calibration and evaluation of a single model, the multiple model approach may be a more robust approach for long-term simulations. In addition, multi-modeling may also improve the calibration and evaluation of an individual model.
机译:森林管理对土壤碳(C)和氮(N)动态的影响因收获类型和物种而异。我们使用多模型方法模拟了仅采收白杨木(长胡杨)的单季采伐对林分生产力和CN循环相互作用的长期影响。在代表美国威斯康星州西北部的营养贫瘠的沙质土壤上运行了350年,共进行了350年的运行,这五个模型分别是Biome-BGC,世纪,预测,具有基于世纪的土壤动力学的LANDIS-II和PnET-CN。从模型的输出中总结出20个CN状态和通量变量,并使用排序和方差分析方法进行统计分析。多个模型的平均值表明,尽管土壤有机质和土壤N的下降显着,但仅取卵的收获不会显着影响白杨树的长期立地生产力。除通过收获直接去除氮外,在收获后在冠层关闭之前大量淋洗是氮耗竭的另一个主要原因。这五个模型在检查的20个变量的输出值上有显着差异,尽管某些变量有一些相似之处。 PnET-CN对每个变量产生独特的结果,而CENTURY显示的异常值更少,并且与所有模型的均值具有相似的时间模式。总的来说,这项研究表明,当没有针对特定模型的精细校准和评估的特定地点数据时,多模型方法对于长期仿真而言可能是更可靠的方法。另外,多模型还可以改善单个模型的校准和评估。

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