Data for: Co-evolution of dormancy and dispersal in spatially autocorrelated landscapes

The evolution of dispersal can be driven by spatial processes, such as landscape structure, and temporal processes, such as disturbance. Dormancy, or dispersal in time, is generally thought to evolve in response to temporal processes. In spite of broad empirical and theoretical evidence of trade-offs between dispersal and dormancy, we lack evidence that spatial structure can drive the evolution of dormancy. Here, we develop a simulation-based model of the joint evolution of dispersal and dormancy in spatially heterogeneous landscapes. We show that dormancy and dispersal are each favored under different landscape conditions, but not simultaneously under any of the conditions we tested. We further show that, when dispersal distances are short, dormancy can evolve directly in response to landscape structure. In this case, selection is primarily driven by benefits associated with avoiding kin competition. Our results are similar in both highly simplified and realistically complex landscapes.

Methods
These data were collected using a spatially explicit individual-based simulation. The full dataset was generated using code in the ./src.zip folder and summarized using code in the ./code to summarize full datasets.zip folder. The summarized datasets are in the ./model_output.zip folder. The figures in the manuscript can be generated using code in the ./figure code.zip folder. Descriptions of all files are in the README.

扩散演化可由空间过程（如景观结构）与时间过程（如干扰）共同驱动。休眠（dormancy），即时间维度上的扩散，通常被认为是响应时间过程演化而来的。尽管已有大量关于扩散与休眠间权衡关系的实证与理论证据，但目前仍缺乏空间结构能够驱动休眠演化的实证依据。本研究构建了基于模拟的模型，用于探究空间异质性景观中扩散与休眠的协同演化过程。研究结果表明，休眠与扩散分别在不同的景观条件下受到适应性选择青睐，但在所测试的所有景观条件下，二者均无法同时被保留。进一步研究发现，当扩散距离较小时，休眠可直接响应景观结构发生演化；在此情形下，自然选择主要由规避亲缘竞争带来的适应性收益所驱动。无论是在高度简化还是真实复杂的景观场景中，本研究结果均保持一致。
方法
本数据集通过基于个体的空间显式模拟（spatially explicit individual-based simulation）方法采集生成。完整数据集由./src.zip文件夹中的代码生成，并通过./code to summarize full datasets.zip文件夹中的代码完成汇总处理。汇总后的数据集存储于./model_output.zip文件夹中。论文中的所有图表均可通过./figure code.zip文件夹中的代码复现生成。所有文件的详细说明均收录于README文件中。