Xiao Sa, Chen Shu-Yan, Wang Gang
Laboratory of Arid Agroecology, School of Life Science, Lanzhou University, Lanzhou, 730000, Gansu, People's Republic of China.
Bull Math Biol. 2006 May;68(4):957-67. doi: 10.1007/s11538-006-9073-0. Epub 2006 Apr 8.
Plants only interact with neighbors over restricted distances, so local conditions are of great significance for plants. It is therefore important to consider spatial structure and neighborhood effects if we are to understand plants' strategies. We constructed a spatially-explicit, game theory model to explore optimal height growth at the individual-level. In the model, there is no ESS for height growth at the population level, because there is an "instantaneous" optimal height growth strategy for the individual plant that changes depending on the local light environment. The optimal strategy is plasticity in response to local conditions. Game-theoretic models for plant phenotypic traits should move from "mean-field approximations" towards explicit modeling of local interactions.
植物仅在有限的距离内与邻居相互作用，因此局部条件对植物具有重要意义。所以，如果我们要理解植物的策略，考虑空间结构和邻域效应就很重要。我们构建了一个空间明确的博弈论模型，以探索个体水平上的最优高度生长。在该模型中，种群水平上不存在高度生长的ESS，因为单个植物存在一种“瞬时”最优高度生长策略，该策略会根据局部光照环境而变化。最优策略是对局部条件的可塑性响应。用于植物表型性状的博弈论模型应从“平均场近似”转向局部相互作用的显式建模。
