2020 ESA Annual Meeting (August 3 - 6)

COS 111 Abstract - Natural population variability may be masking the more-individuals hypothesis

Grant Vagle, Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO; BioFrontiers Institute, University of Colorado, Boulder, CO and Christy M. McCain, Ecology and Evolutionary Biology; Museum of Natural History, University of Colorado Boulder, Boulder, CO
Background/Question/Methods

Species richness and productivity are correlated at global and regional scales, but the mechanisms linking them are inconclusive. The most commonly invoked mechanism, the more-individuals hypothesis (MIH), hypothesizes that increased productivity leads to increased food resource availability which leads to an increased number of individuals supporting more species. Empirical evidence for the MIH remains mixed despite a substantial literature. Here we used simulations to determine whether inter-annual population variability could be masking a ‘true’ MIH relationship. In each simulation, fixed linear relationships between productivity, richness, and 50-year average abundance mimicked the MIH mechanism. Abundance was allowed to vary annually (according to a stochastic Ricker model) and sampled for 1–40 years. Linear regressions of richness on sampled abundance assessed the probability of detecting the fixed MIH relationship.

Results/Conclusions

Medium to high population variability combined with short-term sampling (1–3 years) led to poor detection of the fixed MIH relationship. Notably, this level of sampling and population variability describes nearly all MIH studies to date, most of which take place in bird and insect systems. Long-term sampling (5+ years) led to improved detection of the fixed relationship, thus it is necessary to reliably detect support for the MIH. Such sampling duration is non-existent in MIH empirical studies, which may explain the inconclusive nature of the literature. Robust future studies of the MIH necessitate consideration of inter-annual population variability.