一年生植物对气候变化的光竞争和物候适应

Willian T.A.F. Silva , Mats Hansson , Jacob Johansson
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引用次数: 0

摘要

开花季节的变化是气候变化的全球性影响,对植物群落具有重要的长期进化和人口统计学影响。生活史优化理论是一种有价值的工具,可以断言观察到的物候变化的适应价值和适应度效应,但很少考虑植物间的竞争。在这里,我们将能量分配模型与进化博弈论相结合,以评估光的大小不对称竞争如何影响物候适应和对气候变化的适应性反应——这里表示为生长季节的开始、结束和强度的变化。我们关注的是一年生植物,由于它们的世代时间短,特别有可能对环境变化表现出快速的人口和进化反应。我们发现,虽然光照竞争有利于晚开花时间,但它并不影响气候变化情景下的选择方向。然而,我们预测,如果生长季节提前,变短或不那么激烈,适应轻度竞争的植物将面临更不利的适应性后果。我们还发现,在光照竞争下对生长季节变化的适应有利于增加营养生长的投资,同时也会产生与直觉相反的副作用,即减少种子产量。总之,我们的研究强调了光竞争的几个影响,这些影响可能有助于解释气候变化对野生植物群落的物候趋势和特殊适应效应。
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Light competition and phenological adaptation of annual plants to a changing climate

Shifting flowering seasons is a global effect of climate change that can have important long-term evolutionary and demographic effects on plant communities. Life history optimization theory can be a valuable tool to assert the adaptive value and fitness effects of observed phenological shifts, but takes plant-plant competition rarely into account. Here we combine energy allocation models with evolutionary game theory to assess how size-asymmetric competition for light can influence phenological adaptations and fitness responses to a changing climate – here represented as changes of the start, end and intensity of the growing season. We focus on annual plants which, due to their short generation times, are particularly likely to exhibit rapid demographic and evolutionary responses to environmental change. We find that while light competition favors late flowering times, it does not affect the direction of selection in the climate changes scenarios considered here. We predict, however, that plants adapted to light competition face more detrimental fitness consequences if the growing season advances, becomes shorter or less intense. We also show that adaptation to changing growing seasons under light competition can favor increased investment in vegetative growth with the counterintuitive side effect that seed production is reduced at the same time. In sum, our study highlights several effects of light competition that may help to interpret phenological trends and idiosyncratic fitness effects of climate change in wild plant communities.

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