A model-based method for estimating effective dispersal distance in tropical plant populations

被引:9
作者
Anand, Madhur [1 ]
Langille, Aaron [1 ]
机构
[1] Univ Guelph, Sch Environm Sci, Guelph, ON N1G 2W1, Canada
基金
美国安德鲁·梅隆基金会; 加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
Effective dispersal distance; Spatial model; Barro Colorado Island; SEED DISPERSAL; SPATIAL-PATTERNS; RECRUITMENT LIMITATION; FOREST; TREE; DISTRIBUTIONS; CONSEQUENCES; COMPETITION; TEMPERATE; HISTORY;
D O I
10.1016/j.tpb.2010.02.004
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Dispersal is a key mechanism to help populations propagate across space and thus is important in helping to understand spatial patterns. However, it is often difficult to quantify empirically as it requires intensive and detailed field study. Here we describe a method for estimating the effective dispersal distance of tropical plant populations. The method integrates a simple spatially explicit, individual-based dynamic model and spatial statistical analysis. The model is partly parameterized from spatial point pattern data as well as time series data from a 50 ha tropical forest plot in Barro Colorado Island (BCI) in Panama. Correlation between our estimated dispersal distances and those from inverse modeling based on field studies to date on BCI raises some questions about the match between our methods and those previously used. The method we propose can be generalized to any population for which spatial point pattern data are available. Additional field studies would be useful to further validate our method. Crown Copyright (C) 2010 Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:219 / 226
页数:8
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