State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 200062 Shanghai, PR China; Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research and Utrecht University, PO Box 140, 4400 AC Yerseke, The Netherlands; Center for Global Change and Ecological Forecasting, East China Normal University, Shanghai 200062, PR China.
Department of Environmental Sciences, Copernicus Institute, Utrecht University, PO Box 80155, TC Utrecht, The Netherlands.
Phys Life Rev. 2016 Dec;19:107-121. doi: 10.1016/j.plrev.2016.07.009. Epub 2016 Jul 16.
Many ecosystems develop strikingly regular spatial patterns because of small-scale interactions between organisms, a process generally referred to as spatial self-organization. Self-organized spatial patterns are important determinants of the functioning of ecosystems, promoting the growth and survival of the involved organisms, and affecting the capacity of the organisms to cope with changing environmental conditions. The predominant explanation for self-organized pattern formation is spatial heterogeneity in establishment, growth and mortality, resulting from the self-organization processes. A number of recent studies, however, have revealed that movement of organisms can be an important driving process creating extensive spatial patterning in many ecosystems. Here, we review studies that detail movement-based pattern formation in contrasting ecological settings. Our review highlights that a common principle, where movement of organisms is density-dependent, explains observed spatial regular patterns in all of these studies. This principle, well known to physics as the Cahn-Hilliard principle of phase separation, has so-far remained unrecognized as a general mechanism for self-organized complexity in ecology. Using the examples presented in this paper, we explain how this movement principle can be discerned in ecological settings, and clarify how to test this mechanism experimentally. Our study highlights that animal movement, both in isolation and in unison with other processes, is an important mechanism for regular pattern formation in ecosystems.
许多生态系统由于生物之间的小规模相互作用而呈现出明显的规则空间模式,这一过程通常被称为空间自组织。自组织的空间模式是生态系统功能的重要决定因素,促进了相关生物的生长和生存,并影响了生物应对环境变化条件的能力。自组织模式形成的主要解释是建立、生长和死亡的空间异质性,这是自组织过程的结果。然而,最近的一些研究表明,生物的运动可以是一个重要的驱动过程,在许多生态系统中创造广泛的空间模式。在这里,我们回顾了详细描述在不同生态环境中基于运动的模式形成的研究。我们的综述强调,一个共同的原则,即生物的运动是密度依赖的,可以解释所有这些研究中观察到的空间规则模式。这一原则在物理学中被称为相分离的 Cahn-Hilliard 原理,迄今为止,它一直没有被认为是生态学中自组织复杂性的一般机制。本文通过实例解释了如何在生态环境中辨别这一运动原理,并阐明了如何通过实验来检验这一机制。我们的研究强调,动物的运动,无论是单独的还是与其他过程一起的,都是生态系统中规则模式形成的一个重要机制。