Spreading speeds for stage structured plant populations in fragmented landscapes

被引:25
|
作者
Gilbert, Mark A. [1 ,2 ]
White, Steven M. [1 ,2 ]
Bullock, James M. [2 ]
Gaffney, Eamonn A. [1 ]
机构
[1] Wolfson Ctr Math Biol, Math Inst, Radcliffe Observ Quarter, Oxford OX2 6GG, Oxon, England
[2] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England
基金
英国自然环境研究理事会;
关键词
Integrodifference Equations; Species Invasion; Habitat Loss; Conservation; Dispersal; INTEGRODIFFERENCE MODEL; HABITAT FRAGMENTATION; TRAVELING WAVES; DISPERSAL; INVASION; MATRIX; DEMOGRAPHY; VELOCITY; BEHAVIOR; GROWTH;
D O I
10.1016/j.jtbi.2014.01.024
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Landscape fragmentation has huge ecological and economic implications and affects the spatial dynamics of many plant species. Determining the speed of population spread in fragmented/heterogeneous landscapes is therefore of utmost importance to ecologists. Stage-structured integrodifference equations (IDEs) are deterministic models which accurately reflect the life cycles and dispersal patterns for numerous species. Existing approximations to wave-speeds consider only particular kernels, or landscapes in which the scale of variation is much smaller than the dispersal scale. We propose an analytical approximation to the wave-speeds of IDE solutions with periodic landscapes of alternating good and bad patches, where the dispersal scale is greater than the extent of each good patch and where the ratio of the demographic rates in the good and bad patches is given by a small parameter, denoted as epsilon. We formulate this approximation for the Gaussian and Laplace dispersal kernels and for stage structured and non-stage structured populations, and compare the results against numerical simulations. We find that the approximation is accurate for the landscapes considered, and that the type of dispersal kernel affects the relationship between landscape structure, as classified by landscape period and good patch size, and the spreading speed. This indicates that accurately fitting a kernel to data is important in determining the relationship between landscape structure and spreading speed. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:135 / 149
页数:15
相关论文
共 50 条