CEFE UMR 5175, CNRS - Université de Montpellier - Université Paul-Valéry Montpellier - IRD - EPHE, 1919 route de Mende, Montpellier, 34293, France.
Department of Biology, The College of William and Mary, P.O. Box 8795, Williamsburg, Virginia, VA 23187-8795, USA.
Ecology. 2019 Jun;100(6):e02700. doi: 10.1002/ecy.2700. Epub 2019 May 9.
Modeling the dynamics of competition and coexistence between species is crucial to predict long-term impacts of invasive species on their native congeners. However, natural environments are often fragmented and variable in time and space. In such contexts, regional coexistence depends on complex interactions between competition, niche differentiation and stochastic colonization-extinction dynamics. Quantifying all these processes at landscape scale has always been a challenge for ecologists. We propose a new statistical framework to evaluate metapopulation parameters (colonization and extinction) in a two-species system and how they respond to environmental variables and interspecific competition. It requires spatial surveys repeated in time, but does not assume demographic equilibrium. We apply this model to a long-term survey of two snails inhabiting a network of freshwater habitats in the West Indies. We find evidence of reciprocal competition affecting colonization or extinction rates, modulated by species-specific sensitivity to environmental variables. Simulations using model estimates allow us to predict species dynamics and explore the role of various coexistence mechanisms described by metacommunity theory in our system. The two species are predicted to stably coexist, because niche partitioning, source-sink dynamics and interspecific differences in extinction-colonization parameters all contribute to reduce the negative impacts of competition. However, none of these mechanisms is individually essential. Regional coexistence is primarily facilitated by transient co-occurrence of the two species within habitat patches, a possibility generally not considered in theoretical metacommunity models. Our framework is general and could be extended to guilds of several competing species.
物种间竞争与共存的动态模型对于预测入侵物种对其本地近缘种的长期影响至关重要。然而,自然环境在时间和空间上往往是碎片化和多变的。在这种情况下,区域共存取决于竞争、生态位分化和随机定居-灭绝动态之间的复杂相互作用。在景观尺度上量化所有这些过程一直是生态学家面临的挑战。我们提出了一种新的统计框架,用于评估两种物种系统中的复合种群参数(定居和灭绝),以及它们如何响应环境变量和种间竞争。它需要在时间上重复进行空间调查,但不假设人口平衡。我们将该模型应用于对西印度群岛淡水生境网络中两种蜗牛的长期调查。我们发现了相互竞争影响定居或灭绝率的证据,这种竞争受到物种对环境变量敏感性的调节。使用模型估计值进行的模拟使我们能够预测物种动态,并探索在我们的系统中由集合群落理论描述的各种共存机制的作用。由于生态位分离、源汇动态和物种间灭绝-定居参数的差异都有助于减少竞争的负面影响,因此这两个物种被预测能够稳定共存。然而,这些机制都不是单独必不可少的。区域共存主要是通过两种物种在栖息地斑块内的短暂共存来实现的,这在理论集合群落模型中通常没有被考虑到。我们的框架是通用的,可以扩展到几个竞争物种的 guild。