Math @ Duke

Publications [#329990] of David B. Dunson
search arxiv.org.Papers Published
 Ovaskainen, O; Tikhonov, G; Dunson, D; Grøtan, V; Engen, S; Sæther, BE; Abrego, N, How are species interactions structured in speciesrich communities? A new method for analysing timeseries data.,
Proceedings of the Royal Society B: Biological Sciences, vol. 284 no. 1855
(May, 2017),
pp. 2017076820170768 [doi]
(last updated on 2019/05/26)
Abstract: Estimation of intra and interspecific interactions from timeseries on speciesrich communities is challenging due to the high number of potentially interacting species pairs. The previously proposed sparse interactions model overcomes this challenge by assuming that most species pairs do not interact. We propose an alternative model that does not assume that any of the interactions are necessarily zero, but summarizes the influences of individual species by a small number of communitylevel drivers. The communitylevel drivers are defined as linear combinations of species abundances, and they may thus represent e.g. the total abundance of all species or the relative proportions of different functional groups. We show with simulated and real data how our approach can be used to compare different hypotheses on community structure. In an empirical example using aquatic microorganisms, the communitylevel drivers model clearly outperformed the sparse interactions model in predicting independent validation data.


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