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首页> 外文期刊>Hydrology and Earth System Sciences >Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland
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Coupled local facilitation and global hydrologic inhibition drive landscape geometry in a patterned peatland

机译：局部便利化和整体水文抑制相结合，驱动了格局化泥炭地的景观几何

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Self-organized landscape patterning can arise in response to multipleprocesses. Discriminating among alternative patterning mechanisms,particularly where experimental manipulations are untenable, requiresprocess-based models. Previous modeling studies have attributed patterningin the Everglades (Florida, USA) to sediment redistribution and anisotropicsoil hydraulic properties. In this work, we tested an alternate theory, theself-organizing-canal (SOC) hypothesis, by developing a cellular automatamodel that simulates pattern evolution via local positive feedbacks (i.e.,facilitation) coupled with a global negative feedback based on hydrology.The model is forced by global hydroperiod that drives stochastic transitionsbetween two patch types: ridge (higher elevation) and slough (lowerelevation). We evaluated model performance using multiple criteria based onsix statistical and geostatistical properties observed in reference portionsof the Everglades landscape: patch density, patch anisotropy, semivariogramranges, power-law scaling of ridge areas, perimeter area fractal dimension,and characteristic pattern wavelength. Model results showed strongstatistical agreement with reference landscapes, but only whenanisotropically acting local facilitation was coupled with hydrologic globalfeedback, for which several plausible mechanisms exist. Critically, themodel correctly generated fractal landscapes that had no characteristicpattern wavelength, supporting the invocation of global rather thanscale-specific negative feedbacks.
机译：自组织景观格局可能会响应多个过程而出现。区分其他图案形成机制（尤其是在无法进行实验操作的情况下）需要基于过程的模型。先前的建模研究已将大沼泽地（美国佛罗里达）的模式归因于沉积物的重新分布和各向异性土的水力特性。在这项工作中，我们通过开发一种细胞自动机模型来测试另一种理论，即自组织运河（SOC）假设，该模型通过局部正反馈（即促进）与基于水文学的全局负反馈相结合来模拟模式演变。由全球水文周期强迫，它驱动两种斑块类型之间的随机过渡：山脊（高海拔）和泥and（低海拔）。我们基于在大沼泽地景观参考部分中观察到的六个统计和地统计学特性，使用多种标准评估了模型的性能：斑块密度，斑块各向异性，半变异函数范围，山脊面积的幂律定标，周长区域分形维数和特征图案波长。模型结果显示出与参考景观具有很强的统计一致性，但仅当各向异性作用的局部促进作用与水文全局反馈结合时，存在一些合理的机制。至关重要的是，该模型可以正确生成没有特征图案波长的分形景观，从而支持调用全局而不是特定于比例的负反馈。

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