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Maximum entropy production allows a simple representation of heterogeneity in semiarid ecosystems

机译:最大熵产生允许简单表示半干旱生态系统中的异质性

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摘要

Feedbacks between water use, biomass and infiltration capacity in semiarid ecosystems have been shown to lead to the spontaneous formation of vegetation patterns in a simple model. The formation of patterns permits the maintenance of larger overall biomass at low rainfall rates compared with homogeneous vegetation. This results in a bias of models run at larger scales neglecting subgrid-scale variability. In the present study, we investigate the question whether subgrid-scale heterogeneity can be parameterized as the outcome of optimal partitioning between bare soil and vegetated area. We find that a two-box model reproduces the time-averaged biomass of the patterns emerging in a 100 × 100 grid model if the vegetated fraction is optimized for maximum entropy production (MEP). This suggests that the proposed optimality-based representation of subgrid-scale heterogeneity may be generally applicable to different systems and at different scales. The implications for our understanding of self-organized behaviour and its modelling are discussed.
机译:在一个简单的模型中,半干旱生态系统中的用水,生物量和渗透能力之间的反馈已显示出导致植被格局的自发形成。与同质植被相比,图案的形成允许在低降雨率下维持更大的整体生物量。这导致在较大规模上运行的模型存在偏差,而忽略了亚网格规模的可变性。在本研究中,我们调查是否可以将亚网格规模异质性参数化为裸土与植被区之间最佳分配的结果的问题。我们发现,如果为最大熵产生(MEP)优化了植被部分,则两盒模型可重现100×100网格模型中出现的模式的时间平均生物量。这表明,所建议的基于最优性的次网格规模异质性表示方法通常可适用于不同的系统和不同的规模。讨论了对我们对自组织行为及其建模的理解的含义。

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