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Assessing local adaptation vs. plasticity under different resource conditions in seedlings of a dominant boreal tree species

机译:评估北方资源优势树种幼苗在不同资源条件下的局部适应性与可塑性

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摘要

Under changing climate conditions, understanding local adaptation of plants is crucial to predicting the resilience of ecosystems. We selected black spruce (Picea mariana), the most dominant tree species in the North American boreal forest, in order to evaluate local adaptation vs. plasticity across regions experiencing some of the most extreme climate warming globally. Seeds from three provenances across the latitudinal extent of this species in northwestern Canada were planted in a common garden study in growth chambers. Two levels of two resource conditions were applied (low/high nutrient and ambient/elevated CO2) in a fully factorial design and we measured physiological traits, allocational traits, growth and survival. We found significant differences in height, root length and biomass among populations, with southern populations producing the largest seedlings. However, we did not detect meaningful significant differences among nutrient or CO2 treatments in any traits measured, and there were no consistent population-level differences in physiological traits or allocation patterns. We found that there was greater mortality after simulated winter in the high nutrient treatment, which may reflect an important shift in seedling growth strategies under increased resource availability. Our study provides important insight into how this dominant boreal tree species might respond to the changing climate conditions predicted in this region.
机译:在不断变化的气候条件下,了解植物的本地适应性对于预测生态系统的复原力至关重要。我们选择了黑云杉(Picea mariana),它是北美北方森林中最主要的树种,目的是评估全球气候变化最为剧烈的地区的局部适应性与可塑性。在加拿大西北部的一个普通花园研究中,在加拿大西北部的这个物种的横向范围内,从三个起源的种子中种下了种子。在完全因子设计中应用了两种水平的两种资源条件(低/高养分和环境/升高的CO2),我们测量了生理特征,分配特征,生长和生存。我们发现种群之间的高度,根长和生物量存在显着差异,其中南部种群的幼苗最大。但是,我们没有在营养或二氧化碳处理之间发现任何显着特征的有意义的显着差异,并且在生理特征或分配方式上也没有一致的人群水平差异。我们发现在模拟冬季过后,高养分处理会导致更高的死亡率,这可能反映了在资源增加的情况下幼苗生长策略的重要转变。我们的研究提供了重要的见解,以了解这种优势的北方树种可能如何响应该地区预测的气候变化。

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