Competition coefficients in a marine epibenthic assemblage depend on spatial structure

被引:12
作者
Dunstan, PK
Johnson, CR
机构
[1] Univ Tasmania, Sch Zool, Hobart, Tas 7001, Australia
[2] Univ Tasmania, Tasmanian Aquaculture & Fisheries Inst, Hobart, Tas 7001, Australia
关键词
D O I
10.1034/j.1600-0706.2003.11462.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
We investigated the importance of the spatial context of interactions in a multispecies marine epibenthic assemblage with respect to the outcomes of interspecific interactions, neighbour-specific growth rates, and the dynamics of spatial and mean-field models of the system. We compared the outcomes of interactions and overgrowth rates of pair-wise combinations of species in spatially simplified contrived interactions with the same combinations in an unmanipulated assemblage. While estimates of neighbour-specific growth rates were similar in both sets of interactions, the probability of a species winning a particular interaction was strongly dependent on whether the interaction was contrived or occurred in the unmanipulated assemblage. The dynamics of a spatial model and its mean-field equivalent parameterised from estimates of interaction outcome and neighbour-specific growth from contrived interactions were significantly different to the dynamics of models based on estimates of interaction outcome and neighbour-specific growth obtained from non-manipulated assemblages. Differences in the dynamics of models based on parameters from unmanipulated and contrived interactions are primarily due to differences in outcomes of interspecific interactions, while fluctuations in growth rates contribute to the variability around these dynamics. Our results suggest that conclusions about interspecific interactions and community dynamics examined in simplified spatial associations (e.g. in manipulative experiments) is likely to be limited to assemblages with a similarly simplified spatial structure, which is an unlikely occurrence in nature.
引用
收藏
页码:79 / 88
页数:10
相关论文
共 29 条
[1]   A new method for non-parametric multivariate analysis of variance [J].
Anderson, MJ .
AUSTRAL ECOLOGY, 2001, 26 (01) :32-46
[2]  
[Anonymous], 1973, Stability and complexity in model ecosystems
[3]   HIGHER-ORDER INTERACTIONS IN ECOLOGICAL COMMUNITIES - WHAT ARE THEY AND HOW CAN THEY BE DETECTED [J].
BILLICK, I ;
CASE, TJ .
ECOLOGY, 1994, 75 (06) :1529-1543
[4]   COMPETITION WITHIN AND BETWEEN ENCRUSTING CLONAL INVERTEBRATES [J].
BUSS, LW .
TRENDS IN ECOLOGY & EVOLUTION, 1990, 5 (11) :352-356
[5]   BRYOZOAN OVERGROWTH INTERACTIONS - INTERDEPENDENCE OF COMPETITION FOR SPACE AND FOOD [J].
BUSS, LW .
NATURE, 1979, 281 (5731) :475-477
[6]   COMPETITIVE NETWORKS - NON-TRANSITIVE COMPETITIVE RELATIONSHIPS IN CRYPTIC CORAL-REEF ENVIRONMENTS [J].
BUSS, LW ;
JACKSON, JBC .
AMERICAN NATURALIST, 1979, 113 (02) :223-234
[7]  
BUSS LW, 1980, P NATL ACAD SCI USA, V77, P5255
[8]  
CASWELL H, 1989, MATRIX POPULATIONS M
[9]  
DUNSTAN PK, UNPUB PREDICTING GLO
[10]   Designs for greenhouse studies of interactions between plants: an analytical perspective [J].
Freckleton, RP ;
Watkinson, AR .
JOURNAL OF ECOLOGY, 2000, 88 (03) :386-391