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经典竞争与基于资源的竞争:一种统一的图形化方法。

Classical and resource-based competition: a unifying graphical approach.

作者信息

Ballyk Mary M, Wolkowicz Gail S K

机构信息

Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88003-0001, USA.

出版信息

J Math Biol. 2011 Jan;62(1):81-109. doi: 10.1007/s00285-010-0328-x. Epub 2010 Feb 17.

Abstract

A graphical technique is given for determining the outcome of two species competition for two resources. This method is unifying in the sense that the graphical criterion leading to the various outcomes of competition are consistent across most of the spectrum of resource types (from those that fulfill the same growth needs to those that fulfill different needs) regardless of the classification method used, and the resulting graphs bear a striking resemblance to the well-known phase portraits for two species Lotka-Volterra competition. Our graphical method complements that of Tilman. Both include zero net growth isoclines. However, instead of using the consumption vectors at potential coexistence equilibria to determine input resource concentrations leading to specific competitive outcomes, we introduce curves bounding the feasible set (the set where the resource concentrations of any equilibrium solution must be located). The washout equilibrium (corresponding to the supply point) occurs at an intersection of curves defining the feasible set boundary. The resource concentrations of all other equilibria are found where zero net growth isoclines either intersect each other inside the feasible set or they intersect the feasible set boundary. A species has positive biomass at such an equilibrium only if its zero net growth isocline is involved in such an intersection. The competitive outcomes are then determined from the position of the single species equilibria, just as in the phase portrait analysis for classical competition (rather than from information at potential coexistence equilibria as in Tilman's method).

摘要

给出了一种用于确定两种物种对两种资源竞争结果的图解技术。这种方法具有统一性,因为导致竞争各种结果的图解标准在大多数资源类型范围内(从满足相同生长需求的资源到满足不同需求的资源)都是一致的,无论使用何种分类方法,并且所得图形与著名的两种物种Lotka-Volterra竞争的相图有惊人的相似之处。我们的图解方法是对Tilman方法的补充。两者都包括零净增长等斜线。然而,我们不是使用潜在共存平衡点处的消耗向量来确定导致特定竞争结果的输入资源浓度,而是引入界定可行集(任何平衡解的资源浓度必须位于的集合)的曲线。冲刷平衡点(对应于供应点)出现在定义可行集边界的曲线的交点处。所有其他平衡点的资源浓度在零净增长等斜线在可行集内相互交叉或与可行集边界交叉的地方找到。只有当一个物种的零净增长等斜线参与这样的交叉时,该物种在这样的平衡点处才具有正生物量。然后,就像在经典竞争的相图分析中一样(而不是像Tilman方法那样从潜在共存平衡点处的信息),根据单一物种平衡点的位置来确定竞争结果。

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