Effects of branching spatial structure and life history on the asymptotic growth rate of a population

被引:26
作者
Goldberg, Emma E. [1 ,2 ]
Lynch, Heather J. [1 ]
Neubert, Michael G. [3 ]
Fagan, William F. [1 ]
机构
[1] Univ Maryland, Dept Biol, College Pk, MD 20742 USA
[2] Univ Illinois, Dept Biol Sci, Chicago, IL 60607 USA
[3] Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA
基金
美国国家科学基金会;
关键词
Metapopulation; Dispersal bias; Spatial ecology; Eigenvector analysis; METAPOPULATION STRUCTURE; NETWORK STRUCTURE; RIVER; DYNAMICS; DISPERSAL; PATTERNS; PERSISTENCE; WATER; MOVEMENT; MODEL;
D O I
10.1007/s12080-009-0058-0
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The dendritic structure of a river network creates directional dispersal and a hierarchical arrangement of habitats. These two features have important consequences for the ecological dynamics of species living within the network. We apply matrix population models to a stage-structured population in a network of habitat patches connected in a dendritic arrangement. By considering a range of life histories and dispersal patterns, both constant in time and seasonal, we illustrate how spatial structure, directional dispersal, survival, and reproduction interact to determine population growth rate and distribution. We investigate the sensitivity of the asymptotic growth rate to the demographic parameters of the model, the system size, and the connections between the patches. Although some general patterns emerge, we find that a species' modes of reproduction and dispersal are quite important in its response to changes in its life history parameters or in the spatial structure. The framework we use here can be customized to incorporate a wide range of demographic and dispersal scenarios.
引用
收藏
页码:137 / 152
页数:16
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