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Accurate modeling of harvesting is key for projecting future forest dynamics: a case study in the Slovenian mountains

机译:准确的采伐建模是预测未来森林动态的关键:以斯洛文尼亚山区为例

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Maintaining the provision of multiple forest ecosystem services requires to take into consideration forest sensitivity and adaptability to a changing environment. In this context, dynamic models are indispensable to assess the combined effects of management and climate change on forest dynamics. We evaluated the importance of implementing different approaches for simulating forest management in the climate-sensitive gap model ForClim and compared its outputs with forest inventory data at multiple sites across the European Alps. The model was then used to study forest dynamics in representative silver fir-European beech stands in the Dinaric Mountains (Slovenia) under current management and different climate scenarios. On average, ForClim accurately predicted the development of basal area and stem numbers, but the type of harvesting algorithm used and the information for stand initialization are key elements that must be defined carefully. Empirical harvesting functions that rigorously impose the number and size of stems to remove fail to reproduce stand dynamics when growth is just slightly under- or overestimated, and thus should be substituted by analytical thinning algorithms that are based on stochastic distribution functions. Long-term simulations revealed that both management and climate change negatively impact conifer growth and regeneration. Under current climate, most of the simulated stands were dominated by European beech at the end of the simulation (i.e., 2150 AD), due to the decline of silver fir and Norway spruce caused mainly by harvesting. This trend was amplified under climate change as growth of European beech was favored by higher temperatures, in contrast to drought-induced growth reductions in both conifers. This forest development scenario is highly undesired by local managers who aim at preserving conifers with high economic value. Overall, our results suggest that maintaining a considerable share of conifers in these forests may not be feasible under climate change, especially at lower elevations where foresters should consider alternative management strategies.
机译:维持多种森林生态系统服务的提供需要考虑到森林的敏感性和对不断变化的环境的适应性。在这种情况下,动态模型对于评估管理和气候变化对森林动态的综合影响必不可少。我们评估了在气候敏感型差距模型ForClim中采用不同方法模拟森林管理的重要性,并将其输出结果与欧洲阿尔卑斯山多个地点的森林清单数据进行了比较。然后,在当前管理和不同气候情景下,该模型被用于研究迪纳里克山脉(斯洛文尼亚)具有代表性的冷杉银欧洲山毛榉林的森林动态。平均而言,ForClim可以准确预测基部面积和茎数的变化,但是所使用的收获算法的类型和林分初始化的信息是必须仔细定义的关键要素。当生长被略微低估或高估时,严格规定要去除的茎的数量和大小的经验性收获函数无法重现林分动态,因此应由基于随机分布函数的分析性稀疏算法代替。长期模拟显示,管理和气候变化都对针叶树的生长和再生产生负面影响。在当前气候下,由于银杉的下降和挪威云杉的主要原因是收割,大多数模拟林分在模拟末期(即公元2150年)以欧洲山毛榉为主导。在气候变化下,由于较高温度有利于欧洲山毛榉的生长,与干旱引起的两个针叶树生长减少相反,这种趋势更加明显。旨在保护具有高经济价值的针叶树的地方管理人员非常不希望这种森林发展方案。总体而言,我们的结果表明,在气候变化下,在这些森林中保持相当大的针叶树数量可能是不可行的,尤其是在海拔较低的地区,林业者应考虑其他管理策略。

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