Evol Ecol Res 9: 1329-1347 (2007) Full PDF if your library subscribes.
Effects of population-level aggregation, autocorrelation, and interspecific association on the species–time relationship in two desert communities
Ethan P. White1,2* and Michael A. Gilchrist3
1Department of Biology, Utah State University, Logan, UT 84322, 2Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, and 3Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, USA
Address all correspondence to E.P. White, Department of Biology, Utah State University, Logan, UT 84322, USA.
Question: Can population-level patterns be used to model the species–time relationship? Which non-random patterns in population time-series are necessary for modelling the species–time relationship?
Statistical modelling methods: The presence of aggregation, autocorrelation, and interspecific association was determined using Morisita’s IM, Moran’s I, and Ive’s C respectively. Models for the species–time relationship were constructed from these sub-patterns using a combination of analytical models and randomization methods.
Data studied: Observational time-series of rodents and annual plants in the Chihuahuan Desert.
Conclusions: Aggregation was observed in the majority of population time-series. Most rodent species, but fewer than 10% of plant species, exhibited significant temporal autocorrelation in abundance. Models that included temporal autocorrelation as well as aggregation provided the best fit to the species–time relationship. The species–time relationship is intimately connected to the population dynamics of individual species. Models that attempt to connect the apparently general behaviour of the species–time relationship to the complex dynamics of populations are important for understanding the dynamics of ecological communities.
Keywords: aggregation, species–area relationship, species–time relationship, temporal autocorrelation, temporal turnover.
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