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Riparian tree fall directionality and modeling large wood recruitment to streams

机译:河岸树木掉落的方向性和对溪流的大型木材募集建模

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Directionality of tree fall in riparian forests can strongly influence predictions of large wood recruitment to streams, yet accuracy of this model parameter has rarely been assessed with field data. We measured fall directions of 1202 riparian treesdistributed among 21 stream sites across the Pacific Northwest, USA, Fall directions were oriented towards the stream at 16 sites, upstream at four sites, and not distinguishable from random at one site. Average tree fall direction across sites was correlated with valley constraint (Spearman r = -0.5.3; p = 0,02), but variability of fall directions was not correlated with this variable. When grouped by species (six conifers and one deciduous), individual trees exhibited stronger tendency to have fallentowards the channel on steep hillslopes (>40%) than on moderately sloped landforms (<40%). Integration of field data into an established recruitment model indicated that 1,5 to 2.4 times more large wood (by number of tree boles) would be recruited to stream reaches with steep hillslopes than to reaches with moderate side slopes or flat banks, if riparian forest conditions are assumed to be constant. We conclude that stream valley topography should be considered in models that use tree fall directions inpredictions of large wood recruitment to streams.
机译:河岸森林中树木倒下的方向性会强烈影响到大量木材采伐到溪流的预测,但是很少用野外数据评估该模型参数的准确性。我们测量了分布在美国西北太平洋21个溪流站点之间的1202株河岸树木的跌落方向,其跌落方向是指向16个站点的溪流,四个站点的上游,并且没有区别于一个站点的随机性。整个站点的平均树木倒下方向与山谷约束相关(Spearman r = -0.5.3; p = 0,02),但树木倒下方向的变化与该变量无关。当按物种(六个针叶树和一个落叶树)分组时,与中等坡度的地形(<40%)相比,在陡峭的山坡(> 40%)上,单个树木表现出更强的向通道倒下的趋势。将现场数据整合到已建立的招聘模型中,表明如果是河岸森林,与陡峭的山坡相比,与陡峭的山坡相比,要砍伐的木材要多出1.5到2.4倍(按树bo的数量)假设条件是恒定的。我们得出的结论是,在使用树木倒下方向预测大量木材流向树木的模型中,应考虑河流谷地貌。

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