Making sense of metacommunities: dispelling the mythology of a metacommunity typology

被引:108
作者
Brown, Bryan L. [1 ]
Sokol, Eric R. [2 ]
Skelton, James [3 ]
Tornwall, Brett [1 ]
机构
[1] Virginia Tech, Dept Biol Sci, Blacksburg, VA 24061 USA
[2] Univ Colorado, Inst Arctic & Alpine Res, Boulder, CO 80309 USA
[3] Univ Florida, Sch Forest Resources & Conservat, Gainesville, FL 32611 USA
基金
美国国家科学基金会;
关键词
Metacommunity; Species sorting; Mass effects; Neutral theory; Patch dynamics; Variation partitioning; EXPLAINING BETA DIVERSITY; ECOLOGICAL COMMUNITIES; SPATIAL-ANALYSIS; STRONG INFERENCE; DISPERSAL MODE; DISTANCE DECAY; SANTA-ROSALIA; MANTEL TEST; DYNAMICS; PATTERNS;
D O I
10.1007/s00442-016-3792-1
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Metacommunity ecology has rapidly become a dominant framework through which ecologists understand the natural world. Unfortunately, persistent misunderstandings regarding metacommunity theory and the methods for evaluating hypotheses based on the theory are common in the ecological literature. Since its beginnings, four major paradigms-species sorting, mass effects, neutrality, and patch dynamics-have been associated with metacommunity ecology. The Big 4 have been misconstrued to represent the complete set of metacommunity dynamics. As a result, many investigators attempt to evaluate community assembly processes as strictly belonging to one of the Big 4 types, rather than embracing the full scope of metacommunity theory. The Big 4 were never intended to represent the entire spectrum of metacommunity dynamics and were rather examples of historical paradigms that fit within the new framework. We argue that perpetuation of the Big 4 typology hurts community ecology and we encourage researchers to embrace the full inference space of metacommunity theory. A related, but distinct issue is that the technique of variation partitioning is often used to evaluate the dynamics of metacommunities. This methodology has produced its own set of misunderstandings, some of which are directly a product of the Big 4 typology and others which are simply the product of poor study design or statistical artefacts. However, variation partitioning is a potentially powerful technique when used appropriately and we identify several strategies for successful utilization of variation partitioning.
引用
收藏
页码:643 / 652
页数:10
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