2015
DOI: 10.1016/j.jtbi.2015.03.018
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A sampling formula for ecological communities with multiple dispersal syndromes

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Cited by 20 publications
(35 citation statements)
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References 48 publications
(71 reference statements)
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“…For example, it would be interesting to see whether the neutral and non-neutral partitions of the metacommunity are physically delineated in the intestine, wherein we might expect neutral taxa to be found in the lumen while deviations from neutral patterns might be more intimately attached to the epithelial layer where interactions between host and bacterial cells may be more likely to occur. Additionally, it is possible that non-neutral behavior in these communities is driven by differences among taxa in dispersal rates, in which case partitioning the communities on the basis of differences in immigration rates would likely improve neutral predictions (Janzen et al, 2015). It might also be fruitful to compare the neutral patterns seen in healthy hosts with those seen in diseased, infected or diet-altered individuals, which we predict will be characterized by deviations from neutral predictions.…”
Section: Discussionmentioning
confidence: 98%
“…For example, it would be interesting to see whether the neutral and non-neutral partitions of the metacommunity are physically delineated in the intestine, wherein we might expect neutral taxa to be found in the lumen while deviations from neutral patterns might be more intimately attached to the epithelial layer where interactions between host and bacterial cells may be more likely to occur. Additionally, it is possible that non-neutral behavior in these communities is driven by differences among taxa in dispersal rates, in which case partitioning the communities on the basis of differences in immigration rates would likely improve neutral predictions (Janzen et al, 2015). It might also be fruitful to compare the neutral patterns seen in healthy hosts with those seen in diseased, infected or diet-altered individuals, which we predict will be characterized by deviations from neutral predictions.…”
Section: Discussionmentioning
confidence: 98%
“…They showed that the rank-abundance diagram of a community could not be used to detect heterogeneous dispersal because this pattern is already very well predicted by a purely neutral model. Janzen et al [22] showed that using seed-dispersal traits when analysing rank-abundance patterns of tree species in Barro Colorado Island could lead to the rejection of a purely neutral model in favour of an alternative hypothesis involving interspecific dispersal. Both [21] and [22] considered the effect of interspecific heterogeneity of dispersal on community structure through variation in propagule pressure: species with higher dispersal exert a stronger propagule pressure and are therefore better represented locally.…”
Section: Introductionmentioning
confidence: 99%
“…Janzen et al [22] showed that using seed-dispersal traits when analysing rank-abundance patterns of tree species in Barro Colorado Island could lead to the rejection of a purely neutral model in favour of an alternative hypothesis involving interspecific dispersal. Both [21] and [22] considered the effect of interspecific heterogeneity of dispersal on community structure through variation in propagule pressure: species with higher dispersal exert a stronger propagule pressure and are therefore better represented locally. However, in such models, dispersal does not trade-off with local competitive ability (assumed to be identical among species): species with higher dispersal always thrive in all communities.…”
Section: Introductionmentioning
confidence: 99%
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“…Understanding the dynamics of a guild of ecologically different or equivalent species occupying some functional position within a food web is therefore essential to understanding overall community dynamics. However, what it means for species to be ecologically different in the light of both interactions with species outside the guild and interactions among guild members, makes this a much more complicated proposition (Haegeman & Etienne, ; Janzen et al, ). We argue that working through this fracas requires a shift towards focusing on mechanisms (Letten, Ke, & Fukami, ; McPeek, ; Tilman, ).…”
Section: Introductionmentioning
confidence: 99%