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Simulation of Optimal Rooting Strategies: What's the Best Way to Find a Wet Crack?

机译:仿真最佳生根策略:找到湿裂纹的最佳方式是什么?

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Plants evolve ecological strategies to optimally exploit the limited resources available in their environment, such as water. This involves accounting for temporal and spatial patterns in the availability of the resource. Simulation modelling can be used to explore how the optimality of different strategies depends on these patterns, thus giving insight into why different species of plants employ different strategies depending on their local environment, and how these strategies are optimized for the resource availability patterns of their particular environment. This paper describes a computational model that simulates a variety of plant rooting strategies. We first describe some motivating case studies based on plants searching for relativity rare wet cracks in otherwise impermeable rock layers, and how these studies raise some important ecological questions. We then explain how the model has been constructed to be able to represent a wide range of relevant rooting strategies; give some example outputs to illustrate the capabilities of the model; and discuss how the model has been linked with computational optimization algorithms to identify how optimal ecological strategies vary with patterns of resource availability.
机译:植物生态发展战略,以优化利用在他们的环境中可用的有限资源,比如水。这涉及到占该资源的可用性时空格局。仿真模型可以用于探索不同策略的最优性如何依赖于这些模式,从而使了解为什么植物的不同品种采用不同的策略,这取决于当地环境,而且这些策略是如何针对其特定的资源可用性模式优化环境。本文描述了可模拟各种植物生根战略的计算机模型。我们首先描述了一些激励的案例研究基于植物另有不透水的岩层寻找相对罕见的湿裂缝,以及如何将这些研究提出了一些重要的生态问题。然后,我们解释如何模型已经构建成能够代表广泛的相关生根战略;举一些例子输出来说明该模型的能力;并讨论如何模型已经与计算优化算法联系,以确定生态战略,如何以最佳的资源可用性模式有所不同。

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