首页> 外文期刊>Canadian Journal of Forest Research >Host-parasite distributions under changing climate: Tsuga heterophyllaTI Host-parasite distributions under changing climate: Tsuga heterophylla and Arceuthobium tsugense in Alaska
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Host-parasite distributions under changing climate: Tsuga heterophyllaTI Host-parasite distributions under changing climate: Tsuga heterophylla and Arceuthobium tsugense in Alaska

机译:气候变化下的寄主-寄生虫分布:Tsuga heterophyllaTI气候变化下的寄主-寄生虫分布:Tsuga heterophylla和阿拉善Arc虫(Arceuthobium tsugense)

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摘要

Dwarf mistletoes (Arceuthobium species) influence many processes within forested ecosystems, but few studies have examined their distribution in relation to climate. An analysis of 1549 forested plots within a 14.5 million ha region of southeast Alaska provided strong indications that climate currently limits hemlock dwarf mistletoe (Arceuthobium tsugense (Rosendahl) G.N. Jones) to a subset of the range of its primary tree host, western hemlock (Tsuga heterophylla (Raf.) Sarg.), with infection varying from a high of 20% of trees at sea level to only 5% by 200 m elevation. Three types of modeling approaches (logistic, most similar neighbors, and random forests) were tested for the ability to simultaneously predict abundance and distribution of host and pathogen as a function of climate variables. Current distribution was explained well by logistic models using growing degree-days, indirect and direct solar radiation, rainfall, snowfall, slope, and minimum temperatures, although accuracy for predicting A. tsugense presence at a particular location was only 38%. For future climate scenarios (A1B, A2, and B1), projected increases for A. tsugense habitat over a century ranged from a low of 374% to a high of 757%, with differences between modeling approaches contributing more to uncertainty than differences between climate scenarios.
机译:矮小槲寄生(牛尾藻属物种)影响着森林生态系统内的许多过程,但很少有研究检查它们与气候的关系。对阿拉斯加东南部1,450万公顷区域内的1549个森林地带的分析提供了有力的迹象,表明气候目前将铁杉矮小槲寄生(Arceuthobium tsugense(Rosendahl)GN Jones)限制在其主要树宿主西铁杉(Tsuga)的一部分中异花(Raf。Sarg。),其感染程度从海平面的20%的树木到200 m的海拔高度的5%不等。测试了三种类型的建模方法(后勤,最相似的邻居和随机森林),以根据气候变量同时预测宿主和病原体的丰度和分布的能力。当前分布可以通过逻辑模型很好地解释,该模型使用日数增长,间接和直接的太阳辐射,降雨,降雪,坡度和最低温度,尽管预测特定位置A虫存在的准确性仅为38%。对于未来的气候情景(A1B,A2和B1),预计一个世纪以来,tsugense栖息地的增长幅度从低点374%到高点757%不等,建模方法之间的差异对不确定性的影响远大于气候之间的差异。场景。

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