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首页> 外文期刊>Frontiers in ecology and the environment >Fuel treatment effects on tree-based forest carbon storage and emissions under modeled wildfire scenarios
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Fuel treatment effects on tree-based forest carbon storage and emissions under modeled wildfire scenarios

机译:在模拟的野火情景下,燃料处理对基于树的森林碳储存和排放的影响

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Forests are viewed as a potential sink for carbon (C) that might otherwise contribute to climate change. It is unclear, however, how to manage forests with frequent fire regimes to maximize C storage while reducing C emissions from prescribed burns or wildfire. We modeled the effects of eight different fuel treatments on treebased C storage and release over a century, with and without wildfire. Model runs show that, after a century of growth without wildfire, the control stored the most C. However, when wildfire was included in the model, the control had the largest total C emission and largest reduction in live-tree-based C stocks. In model runs including wildfire, the final amount of tree-based C sequestered was most affected by the stand structure initially produced by the different fuel treatments. In wildfire-prone forests, tree-based C stocks were best protected by fuel treatments that produced a low-density stand structure dominated by large, fire-resistant pines.
机译:森林被视为潜在的碳汇(C),否则可能助长气候变化。但是,目前尚不清楚如何管理经常发生火灾的森林,以最大程度地存储碳,同时减少规定的燃烧或野火产生的碳排放。我们模拟了八种不同燃料处理对有或没有野火的基于树的C的存储和释放的影响。模型运行表明,在没有野火的情况下生长一个世纪之后,该对照存储了最多的C。但是,当模型中包含野火时,该对照的总C排放量最大,而基于活树的C量减少量最大。在包括野火在内的模型运行中,封存的基于树的碳的最终量受不同燃料处理最初产生的林分结构的影响最大。在易发生野火的森林中,以树为基础的碳储量可通过燃料处理得到最好的保护,该燃料处理产生了以大型耐火松树为主的低密度林分结构。

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