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Toleration games: compensatory growth by plants in response to enemy attack is an evolutionarily stable strategy

机译:宽容游戏:植物对敌人攻击的补偿性生长是进化上稳定的策略

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摘要

Damage to plants from natural enemies is a ubiquitous feature of the natural world. Accordingly, plants have evolved a variety of strategies to deal with attack from enemies including the ability to simply tolerate attack. Tolerance often involves some form of compensatory response, such as the regrowth of tissues following damage. While ecological models of defence are common, there has been less effort to make predictions about the evolutionary stability of tolerance. Here, we present and experimentally test a game theoretic model of tolerance to herbivory. Plants in the model have a vector strategy which includes both root and shoot production, and herbivores in the model have a scalar strategy which is time spent foraging. The evolutionarily stable strategy (ESS) is the set of root growth, shoot growth and herbivore foraging which simultaneously maximizes all player’s fitness. Compensatory growth is not guaranteed, but it may emerge as an ESS if it maximizes plant fitness. We also experimentally tested the model predictions using wheat and simulated herbivory by clipping 0, 15, 30, 45 or 60 % of shoot production, and measured root, shoot and fruit production at senescence. The model predicted that compensatory growth was often an ESS when herbivores were either above- or below-ground. Plants in the experiment followed model predictions. Specifically, plants produced more tissues than expected based on damage, and for 15 % damage this allowed them to maintain equal fitness compared to undamaged plants. The model allows for above- and below-ground herbivory to be modelled, and predicts their impact on whole plant growth and reproduction. For example, we can predict the effects of shoot damage on root growth. When combined with other advances in predicting plant ecology with evolutionary game theory, we anticipate that this will be a valuable tool for generating further testable hypotheses.
机译:天敌对植物的伤害是自然世界的普遍特征。因此,植物已经进化出多种策略来应对来自敌人的攻击,包括简单地容忍攻击的能力。耐受性通常涉及某种形式的代偿性反应,例如损伤后组织的再生。尽管防御的生态学模型很普遍,但是人们很少做出有关耐受性进化稳定性的预测。在这里,我们介绍并实验性地测试了对食草动物的耐受性的游戏理论模型。该模型中的植物具有包括根和芽生产在内的矢量策略,而该模型中的草食动物具有标本策略,即花费时间进行觅食。进化稳定策略(ESS)是根部生长,枝条生长和草食动物觅食的集合,可同时最大化所有玩家的适应能力。不能保证补偿性生长,但是如果使植物适应性最大化,它就会作为ESS出现。我们还使用小麦和模拟食草动物,通过剪掉0%,15%,30%,45%或60%的枝条产量,并在衰老时测量根,枝条和果实的产量,来实验测试模型预测。该模型预测,当草食动物处于地面以上或地下时,补偿性生长通常是ESS。实验中的植物遵循模型预测。具体来说,植物产生的组织要比基于损伤的预期要多,并且对于15%的损伤,这使它们与未损坏的植物相比,具有相同的适应性。该模型可以对地上和地下的食草动物进行建模,并预测其对整个植物生长和繁殖的影响。例如,我们可以预测芽损伤对根系生长的影响。当结合使用进化博弈论预测植物生态学的其他进展时,我们预计这将是生成进一步可检验假设的有价值的工具。

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