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Trajectory analysis in community ecology
Ecological Monographs ( IF 7.1 ) Pub Date : 2019-01-31 , DOI: 10.1002/ecm.1350
Miquel De Cáceres 1, 2 , Lluís Coll 1, 2, 3 , Pierre Legendre 4 , Robert B. Allen 5 , Susan K. Wiser 6 , Marie‐Josée Fortin 7 , Richard Condit 8 , Stephen Hubbell 8, 9
Affiliation  

Ecologists have long been interested in how communities change over time. Addressing questions about community dynamics requires ways of representing and comparing the variety of dynamics observed across space. Until now, most analytical frameworks have been based on the comparison of synchronous observations across sites and between repeated surveys. An alternative perspective considers community dynamics as trajectories in a chosen space of community resemblance and utilizes trajectories as objects to be analyzed and compared using their geometry. While methods that take this second perspective exist, for example to test for particular trajectory shapes, there is a need for formal analytical frameworks that fully develop the potential of this approach. By adapting concepts and procedures used for the analysis of spatial trajectories, we present a framework for describing and comparing community trajectories. A key element of our contribution is the means to assess the geometric resemblance between trajectories, which allows users to describe, quantify, and analyze variation in community dynamics. We illustrate the behavior of our framework using simulated data and two spatiotemporal community data sets differing in the community properties of interest (species composition vs. size distribution of individuals). We conclude by evaluating the advantages and limitations of our community trajectory analysis framework, highlighting its broad domain of application and anticipating potential extensions.

中文翻译:

社区生态学中的轨迹分析

长期以来,生态学家一直对社区如何随着时间变化而产生兴趣。要解决有关社区动态的问题,就需要表达和比较跨空间动态变化的方式。到目前为止,大多数分析框架都基于跨站点以及重复调查之间同步观测的比较。另一种观点是将社区动力学视为选定的社区相似空间中的轨迹,并利用这些轨迹作为要使用其几何形状进行分析和比较的对象。虽然存在采用第二种观点的方法,例如可以测试特定的轨迹形状,但仍需要正式的分析框架来充分开发这种方法的潜力。通过调整用于空间轨迹分析的概念和程序,我们提供了一个描述和比较社区轨迹的框架。我们贡献的一个关键要素是评估轨迹之间几何相似性的方法,该方法使用户能够描述,量化和分析社区动态的变化。我们使用模拟数据和两个时空社区数据集说明了我们的框架的行为,这些时空社区数据集在感兴趣的社区属性(物种组成与个体的大小分布)方面有所不同。最后,我们通过评估社区轨迹分析框架的优点和局限性,强调其广泛的应用领域并预期潜在的扩展。它允许用户描述,量化和分析社区动态的变化。我们使用模拟数据和两个时空社区数据集说明了我们的框架的行为,这些时空社区数据集在感兴趣的社区属性(物种组成与个体的大小分布)方面有所不同。最后,我们通过评估社区轨迹分析框架的优点和局限性,强调其广泛的应用领域并预期潜在的扩展。它允许用户描述,量化和分析社区动态的变化。我们使用模拟数据和两个时空社区数据集来说明我们框架的行为,这些时空数据集在感兴趣的社区属性(物种组成与个体的大小分布)方面有所不同。最后,我们通过评估社区轨迹分析框架的优点和局限性,强调其广泛的应用领域并预期潜在的扩展。
更新日期:2019-01-31
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