Soils and landscapes can show complex, nonlinear evolution, especially under changing climate or land use. Soil-landscape evolution models (SLEMs) are increasingly equipped to simulate the development of soils and landscapes over long timescales under these changing drivers, but provide large data output that can be difficult to interpret and communicate. New tools are required to analyze and visualize large model outputs.In this work, I show how spatial and temporal trends in previously published model results can be analyzed and visualized with evolutionary pathways, which are possible trajectories of the development of soils. Simulated differences in rainfall and land use control progressive or regressive soil development and convergence or divergence of the soil pattern. These changes are illustrated with real-world examples of soil development and soil complexity.The use of evolutionary pathways for analyzing the results of SLEMs is not limited to the examples in this paper, but they can be used on a wide variety of soil properties, soil pattern statistics and models. With that, evolutionary pathways provide a promising tool to analyze and visualize soil model output, not only for studying past changes in soils, but also for evaluating future spatial and temporal effects of soil management practices in the context of sustainability.

中文翻译：

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土壤景观演化模型中的演化路径

土壤和景观可以表现出复杂的非线性演变，尤其是在气候或土地利用变化的情况下。土壤景观演化模型 (SLEM) 越来越有能力模拟在这些不断变化的驱动因素下长时间尺度的土壤和景观的发展，但提供的大数据输出可能难以解释和交流。需要新工具来分析和可视化大型模型输出。在这项工作中，我展示了如何通过进化路径分析和可视化先前发布的模型结果中的空间和时间趋势，进化路径是土壤发展的可能轨迹。降雨量和土地利用的模拟差异控制土壤的渐进或退化发展以及土壤格局的收敛或发散。这些变化通过土壤发育和土壤复杂性的真实示例来说明。使用进化路径分析 SLEM 的结果不仅限于本文中的示例，它们还可以用于各种土壤特性，土壤格局统计和模型。因此，进化路径为分析和可视化土壤模型输出提供了一种有前途的工具，不仅用于研究土壤过去的变化，还用于在可持续性背景下评估土壤管理实践的未来空间和时间影响。