Species abundance distribution and dynamics in two locally coupled communities

被引:3
作者
Babak, Petro [1 ,2 ]
He, Fangliang [2 ]
机构
[1] Univ Alberta, Dept Math & Stat Sci, Edmonton, AB T6G 2G1, Canada
[2] Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2G1, Canada
关键词
neutral theory of biodiversity; two local communities; diffusion approximation; Kolmogorov-Fokker-Planck forward equation;
D O I
10.1016/j.jtbi.2008.04.031
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study considered a model for species abundance dynamics in two local community (or islands) connected to a regional metacommunity. The model was analyzed using continuous probabilistic technique that employs Kolmogorov-Fokker-Planck forward equation to derive the probability density of the species abundance in the two local communities. Using this technique, we proposed a classification for the species abundance dynamics in the local communities. This classification was made based on such characteristics as immigration intensity, species representation in the metacommunity and the size of local communities. We further distinguished several different scenarios for species abundance dynamics using different ecological characteristics such as species persistence, extinction and monodominance in one or both local communities. The similarity of the species abundance distributions between the two local communities was studied using the correlation coefficient between species abundances in two local communities. The correlation is a function of migration rates between local communities and between local and metacommunity. Immigration between local communities drives the homogenization of the local communities, while immigration from the metacommunity will differentiate them. This community subdivision model provides useful insights for studying the effect of landscape fragmentation on species diversity. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:739 / 748
页数:10
相关论文
共 13 条
[1]   Continuous probabilistic approach to species dynamics in Hubbell's zero-sum local community [J].
Babak, Petro .
PHYSICAL REVIEW E, 2006, 74 (02)
[2]   COMMUNITY STRUCTURE - NEUTRAL MODEL ANALYSIS [J].
CASWELL, H .
ECOLOGICAL MONOGRAPHS, 1976, 46 (03) :327-354
[3]   Population dynamic models generating the lognormal species abundance distribution [J].
Engen, S ;
Lande, R .
MATHEMATICAL BIOSCIENCES, 1996, 132 (02) :169-183
[4]   The relation between the number of species and the number of individuals in a random sample of an animal population [J].
Fisher, RA ;
Corbet, AS ;
Williams, CB .
JOURNAL OF ANIMAL ECOLOGY, 1943, 12 :42-58
[5]  
Gardiner C. W., 1983, HDB STOCHASTIC METHO
[6]   Neutral theory in macroecology and population genetics [J].
Hu, Xin-Sheng ;
He, Fangliang ;
Hubbell, Stephen P. .
OIKOS, 2006, 113 (03) :548-556
[7]  
Hubbell Stephen P., 2001, V32, pi
[8]  
Lande R., 2003, STOCHASTIC POPULATIO
[10]  
May R.M., 1975, P81