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Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry

机译:通过气候智能林业实现欧洲商品林的减缓效率

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摘要

European temperate and boreal forests sequester up to 12% of Europe’s annual carbon emissions. Forest carbon density can be manipulated through management to maximize its climate mitigation potential, and fast-growing tree species may contribute the most to Climate Smart Forestry (CSF) compared to slow-growing hardwoods. This type of CSF takes into account not only forest resource potentials in sequestering carbon, but also the economic impact of regional forest products and discounts both variables over time. We used the process-based forest model 4 C to simulate European commercial forests’ growth conditions and coupled it with an optimization algorithm to simulate the implementation of CSF for 18 European countries encompassing 68.3 million ha of forest (42.4% of total EU-28 forest area). We found a European CSF policy that could sequester 7.3–11.1 billion tons of carbon, projected to be worth 103 to 141 billion euros in the 21st century. An efficient CSF policy would allocate carbon sequestration to European countries with a lower wood price, lower labor costs, high harvest costs, or a mixture thereof to increase its economic efficiency. This policy prioritized the allocation of mitigation efforts to northern, eastern and central European countries and favored fast growing conifers Picea abies and Pinus sylvestris to broadleaves Fagus sylvatica and Quercus species.
机译:欧洲的温带和北方森林封存了欧洲年度碳排放量的12%。可以通过管理来控制森林的碳密度,以最大程度地发挥其减缓气候变化的潜力,而与缓慢生长的硬木相比,快速生长的树种对气候智能林业(CSF)的贡献最大。这种CSF类型不仅考虑了固碳中森林资源的潜力,还考虑了区域森林产品的经济影响,并考虑了两个变量随时间的变化。我们使用基于过程的森林模型4 C来模拟欧洲商品林的生长条件,并将其与优化算法结合使用,以模拟18个欧洲国家/地区的CSF实施,涵盖6830万公顷森林(占EU-28森林总数的42.4%)区域)。我们发现,欧洲的CSF政策可以封存73–111亿吨的碳,在21世纪预计价值103至1,410亿欧元。有效的CSF政策会将碳固存分配给具有较低木材价格,较低人工成本,较高采伐成本或两者混合的欧洲国家,以提高其经济效率。这项政策优先考虑将缓解工作分配给北欧,东欧和中欧国家,并优先考虑将速生针叶林针叶云杉和樟子松用于阔叶青冈和栎属物种。

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