University of Florida, Department of Agricultural & Biological Engineering, Gainesville, Florida 32605, USA.
University of Venice Cà Foscari, Department of Environmental Sciences, Informatics & Statistics, Venice 30170, Italy.
J Theor Biol. 2019 Feb 7;462:418-424. doi: 10.1016/j.jtbi.2018.11.021. Epub 2018 Nov 26.
Biodiversity patterns are governed by landscape structure and dispersal strategies of residing organisms. Landscape, however, changes, and dispersal strategies evolve with it. It is unclear how these biological and geomorphological changes interplay to affect biodiversity patterns. Here we develop metacommunity models that allow for dispersal evolution and implement them in river networks with different structures, mimicking the geomorphological dynamics of fluvial landscape. For a given dispersal kernel, a more compact network structure, where local communities are closer to one another, results in biodiversity patterns characteristic of a more well-mixed environment. When dispersal evolution is present, however, organisms adopt more local dispersal strategies in a more compact network, counteracting the effects of the more well-mixed environment. The combined effects lead to biodiversity patterns different from when dispersal evolution is absent. These findings underscore the importance of taking the interplay between the evolution of dispersal, landscape, and biodiversity patterns into account when studying and managing biodiversity in changing landscape.
生物多样性模式受居住生物的景观结构和扩散策略的控制。然而,景观在不断变化,扩散策略也随之演变。目前尚不清楚这些生物和地貌变化如何相互作用,从而影响生物多样性模式。在这里,我们开发了允许扩散进化的集合群落模型,并将其应用于具有不同结构的河流网络中,以模拟河流景观的地貌动态。对于给定的扩散核,网络结构更紧凑,即局部群落彼此之间更接近,这导致了更类似于混合良好环境的生物多样性模式。然而,当存在扩散进化时,生物体在更紧凑的网络中采用更局部的扩散策略,从而抵消了更混合良好环境的影响。综合效应导致的生物多样性模式与不存在扩散进化时不同。这些发现强调了在研究和管理变化景观中的生物多样性时,考虑扩散、景观和生物多样性模式之间相互作用的重要性。