Tyson R C, Wilson J B, Lane W D
University of British Columbia Okanagan, Mathematics, Statistics & Physics, 3333 University Way V1V 1V7 Kelowna, BC, Canada.
Theor Popul Biol. 2011 May;79(3):70-81. doi: 10.1016/j.tpb.2010.11.002. Epub 2010 Dec 15.
The distribution of foragers on the landscape has important consequences to, for example, the spread rate of an invasive species or the outcrossing levels between neighbouring crops. Since forager distribution can be difficult to measure directly, mathematical models are often used to predict the population density of dispersing foragers on the landscape. We model organism movement using a diffusion framework in which the foraging population is divided into two subpopulations engaged in intensive and extensive search modes respectively. Movement in the intensive search mode (ISM) is modeled by diffusion, and movement in the extensive search mode (ESM) is modeled by advection. We show that our model provides a superior fit to organism movement data than more traditional diffusion or diffusion-advection models in which the forager population is considered homogeneous. Our results have implications for the understanding of dispersal in a wide variety of applications.
觅食者在景观中的分布具有重要影响，例如，会影响入侵物种的传播速度或相邻作物之间的异交水平。由于觅食者的分布难以直接测量，因此通常使用数学模型来预测景观中扩散觅食者的种群密度。我们使用扩散框架对生物运动进行建模，在该框架中，觅食种群被分为分别进行密集搜索模式和广泛搜索模式的两个亚种群。密集搜索模式（ISM）下的运动通过扩散建模，广泛搜索模式（ESM）下的运动通过平流建模。我们表明，与将觅食者种群视为同质的更传统的扩散或扩散-平流模型相比，我们的模型对生物运动数据的拟合效果更好。我们的结果对于理解各种应用中的扩散具有启示意义。
