@article{dunn_wilson_nichols_gavin_2021, title={Toward a Global Ecology of Fermented Foods}, volume={8}, ISSN={["1537-5382"]}, url={http://dx.doi.org/10.1086/716014}, DOI={10.1086/716014}, abstractNote={The control of microbes in food has been as important to human societies as the domestication of plants and animals. The direct or indirect management of microbes has been critical to food safety, ensuring nutrient availability, and developing desired sensory characteristics in food. Fermentation is more universal than is agriculture inasmuch as it is practiced by agricultural societies, pastoralists, and hunter-gatherers. In addition, fermentation likely predates agriculture, potentially by hundreds of thousands of years. However, we lack a general approach to understanding of (a) when and why technologies associated with fermentation emerged and (b) how those technologies and the microbes associated with them diverged once they emerged. Here we offer a framework for the study of the diversification of fermented foods in and among human societies. In developing this framework, we draw heavily from research on language and more generally cultural diversification.}, journal={CURRENT ANTHROPOLOGY}, author={Dunn, Robert R. and Wilson, John and Nichols, Lauren M. and Gavin, Michael C.}, year={2021}, month={Aug} }
 @article{noonan_fleming_tucker_kays_harrison_crofoot_abrahms_alberts_ali_altmann_et al._2020, title={Effects of body size on estimation of mammalian area requirements}, volume={34}, ISSN={["1523-1739"]}, url={https://doi.org/10.1111/cobi.13495}, DOI={10.1111/cobi.13495}, abstractNote={Accurately quantifying species’ area requirements is a prerequisite for effective area‐based conservation. This typically involves collecting tracking data on species of interest and then conducting home‐range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home‐range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied block cross‐validation to quantify bias in empirical home‐range estimates. Area requirements of mammals <10 kg were underestimated by a mean approximately15%, and species weighing approximately100 kg were underestimated by approximately50% on average. Thus, we found area estimation was subject to autocorrelation‐induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, the allometric scaling of bias we observed suggests the most threatened species are also likely to be those with the least accurate home‐range estimates. As a correction, we tested whether data thinning or autocorrelation‐informed home‐range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning required an approximately93% data loss to achieve statistical independence with 95% confidence and was, therefore, not a viable solution. In contrast, autocorrelation‐informed home‐range estimation resulted in consistently accurate estimates irrespective of mass. When relating body mass to home range size, we detected that correcting for autocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changed substantially at the upper end of the mass spectrum.}, number={4}, journal={CONSERVATION BIOLOGY}, author={Noonan, Michael J. and Fleming, Christen H. and Tucker, Marlee A. and Kays, Roland and Harrison, Autumn-Lynn and Crofoot, Margaret C. and Abrahms, Briana and Alberts, Susan C. and Ali, Abdullahi H. and Altmann, Jeanne and et al.}, year={2020}, month={Aug}, pages={1017–1028} }