title: Robust hypothesis tests for independence in community assembly.
abstract: The extent to which competition affects the distributions of species at large spatial scales is unclear. To evaluate this question, hypothesis tests that do not depend on parametric assumptions are needed. Here, we develop a broadly applicable test that requires only one parametric assumption. Letting i and j denote the ith and jth colonists to arrive at a site, respectively, and [i j] the event that i and j belong to the same "unit" (e.g., functional group, genus), we show how colonists will be partitioned into units if for all i and j, [i j] is independent of whether i and j share unit membership with the other colonists, conditional on other information about shared units. Our distribution of partitions is useful for inferring competitive effects, because these effects predict that for at least one i and j, P ([i j]) will be less when i and j share unit membership than when they do not.
authors.affiliation: Santa Fe Institute, Santa Fe, NM 87501, USA. jladau@santafe.edu
authors.forename: Joshua
authors.initials: J
authors.lastname: Ladau
authors.forename: Steven J
authors.initials: SJ
authors.lastname: Schwager
mesh_terms: D000465:Algorithms; D000818:Animals; D001717:Birds / Q000502:physiology*; D017753:Ecosystem; D008954:Models, Biological; D011157:Population Dynamics; D014687:Venezuela