Optimal resource allocation in a randomly varying environment
Optimal resource allocation in a randomly varying environment
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DOI：
10.2307/2390170
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发表时间：
1996-10-01
影响因子：
5.2
通讯作者：
Middleton, DAJ
中科院分区：
文献类型：
--
作者：
Gurney, WSC;Middleton, DAJ
1. 我们构建了一个简单的战略种群模型来研究资源（超过维持所需的资源）对生长和/或繁殖的最佳分配。对恒定环境下模型的分析表明，确定生长（在生殖成熟时停止生长）始终是最优策略。在三种不同的噪声模型下，我们进行了数值竞争实验来研究随机变化环境下的最优分配。不确定生长（在个体的一生中同时生长和繁殖）在变化的环境中是最理想的，在这种环境中，可变性很强，并且在一个与个体一生相当的时间尺度上。在数值竞赛中，成功的竞争者使长期生长速率和表型生物量与环境的相关性最大化。竞争者的存在被证明是定义“环境”的一个重要组成部分。在单一表型情况下，各种适应度指标的优化并不能揭示竞争情况下的最优。
1. We construct a simple strategic population model to investigate optimal allocation of resources (in excess of those required for maintenance) to growth and/or reproduction.2. Analysis of the model for a constant environment demonstrates that determinate growth (where growth ceases at reproductive maturity) is always the optimal strategy.3. We conduct numerical competition experiments to investigate optimal allocation in randomly varying environments, under three different noise models.4. indeterminate growth (simultaneous growth and reproduction over some of the individual's lifetime) is optimal in varying environments where the variability is intense and on a time-scale comparable with that of an individual's lifetime.5. The long-run growth rate and the correlation between phenotype biomass and environment are maximized by sucessful competitors in the numerical contests. The presence of a competitor is shown to be an essential component defining the 'environment'. Optimization of various fitness measures in a single phenotype situation does not reveal the optimum for the competitive situation.