Abstract
A major goal of community ecology is to identify the patterns of species associations and the processes that shape them. Arboreal ants are extremely diverse and abundant, making them an interesting and valuable group for tackling this issue. Numerous studies have used observational data of species co‐occurrence patterns to infer underlying assembly processes, but the complexity of these communities has resulted in few solid conclusions. This study takes advantage of an observational dataset that is unusually well‐structured with respect to habitat attributes (tree species, tree sizes, and vegetation structure), to disentangle different factors influencing community organization. In particular, this study assesses the potential role of interspecific competition and habitat selection on the distribution patterns of an arboreal ant community by incorporating habitat attributes into the co‐occurrence analyses. These findings are then contrasted against species traits, to explore functional explanations for the identified community patterns. We ran a suite of null models, first accounting only for the species incidence in the community and later incorporating habitat attributes in the null models. We performed analyses with all the species in the community and then with only the most common species using both a matrix‐level approach and a pairwise‐level approach. The co‐occurrence patterns did not differ from randomness in the matrix‐level approach accounting for all ant species in the community. However, a segregated pattern was detected for the most common ant species. Moreover, with the pairwise approach, we found a significant number of negative and positive pairs of species associations. Most of the segregated associations appear to be explained by competitive interactions between species, not habitat affiliations. This was supported by comparisons of species traits for significantly associated pairs. These results suggest that competition is the most important influence on the distribution patterns of arboreal ants within the focal community. Habitat attributes, in contrast, showed no significant influence on the matrix‐wide results and affected only a few associations. In addition, the segregated pairs shared more biological characteristic in common than the aggregated and random ones.
Highlights
A fundamental goal of community ecology is to understand the mechanisms allowing multispecies coexistence in biological communities (Agrawal et al, 2007; Sutherland et al, 2013)
The matrix-level co-occurrence analyses failed to detect any pattern of species association when we accounted for all 75 ant species in the community
While our matrix-level co-occurrence analyses showed a random pattern of species associations with all ant species considered, we found a significant segregated pattern when using only the most common species
Summary
A fundamental goal of community ecology is to understand the mechanisms allowing multispecies coexistence in biological communities (Agrawal et al, 2007; Sutherland et al, 2013). The use of co-occurrence analyses to address the role of competition in structuring arboreal ant communities, and especially the specific case of the “ant mosaic hypothesis,” has been criticized heavily This criticism was based on the shortcomings of analytical methodologies for considering other influences on nonrandom co-occurrence patterns (Gotelli, 2001; Ribas & Schoereder, 2002). We assessed similarities in key biological properties of the most common ant species in order to interpret the observed pairwise patterns We used these analyses to address three main questions: (1) do co-occurrence patterns in our focal arboreal ant community deviate significantly from that expected under a process of random community assembly?
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