Science Enabled by Specimen Data

Monroy-Gamboa, A. G. 2022. Differences between Northern and Southern Female Coyotes. Western North American Naturalist 82. https://doi.org/10.3398/064.082.0119

The coyote (Canis latrans) has a wide distribution range, spanning boreal forests from the north of the continent to tropical environments in Central America, showing great adaptation and plasticity. Bergmann's rule states that individuals inhabiting colder climates are larger than those in warmer climates. It is suggested that in carnivore species, litter size is influenced by allometric constraints such as maternal body size. The aim of this study is to analyze the relations using correlation between female coyote mass, latitude, and litter size. Using data compiled from the literature, I carried out statistical analyses to correlate female body size, litter size, and latitude for coyotes across their distribution range. The results indicated a soft significant correlation between female body size and latitude, confirming Bergmann's rule. However, no significant correlation was found between litter size and latitude or between litter size and female body size; litter size in coyotes remains roughly uniform across their distribution range.

Fell, H. G., O. G. Osborne, M. D. Jones, S. Atkinson, S. Tarr, S. H. Keddie, and A. C. Algar. 2022. Biotic factors limit the invasion of the plague pathogen ( Yersinia pestis ) in novel geographical settings P. Kamath [ed.],. Global Ecology and Biogeography 31: 672–684. https://doi.org/10.1111/geb.13453

Aim: The distribution of Yersinia pestis, the pathogen that causes plague in humans, is reliant upon transmission between host species; however, the degree to which host species distributions dictate the distribution of Y. pestis, compared with limitations imposed by the environmental niche of Y. pe…

Miller, E. F., R. E. Green, A. Balmford, P. Maisano Delser, R. Beyer, M. Somveille, M. Leonardi, et al. 2021. Bayesian Skyline Plots disagree with range size changes based on Species Distribution Models for Holarctic birds. Molecular Ecology 30: 3993–4004. https://doi.org/10.1111/mec.16032

During the Quaternary, large climate oscillations impacted the distribution and demography of species globally. Two approaches have played a major role in reconstructing changes through time: Bayesian Skyline Plots (BSPs), which reconstruct population fluctuations based on genetic data, and Species …

Wieringa, J. G., B. C. Carstens, and H. L. Gibbs. 2021. Predicting migration routes for three species of migratory bats using species distribution models. PeerJ 9: e11177. https://doi.org/10.7717/peerj.11177

Understanding seasonal variation in the distribution and movement patterns of migratory species is essential to monitoring and conservation efforts. While there are many species of migratory bats in North America, little is known about their seasonal movements. In terms of conservation, this is impo…

Inman, R., J. Franklin, T. Esque, and K. Nussear. 2021. Comparing sample bias correction methods for species distribution modeling using virtual species. Ecosphere 12. https://doi.org/10.1002/ecs2.3422

A key assumption in species distribution modeling (SDM) with presence‐background (PB) methods is that sampling of occurrence localities is unbiased and that any sampling bias is proportional to the background distribution of environmental covariates. This assumption is rarely met when SDM practition…

Azevedo, J. A. R., T. B. Guedes, C. de C. Nogueira, P. Passos, R. J. Sawaya, A. L. C. Prudente, F. E. Barbo, et al. 2019. Museums and cradles of diversity are geographically coincident for narrowly distributed Neotropical snakes. Ecography 43: 328–339. https://doi.org/10.1111/ecog.04815

Factors driving the spatial configuration of centres of endemism have long been a topic of broad interest and debate. Due to different eco‐evolutionary processes, these highly biodiverse areas may harbour different amounts of ancient and recently diverged organisms (paleo‐ and neo‐endemism, respecti…

Espíndola, A., M. Ruffley, M. L. Smith, B. C. Carstens, D. C. Tank, and J. Sullivan. 2016. Identifying cryptic diversity with predictive phylogeography. Proceedings of the Royal Society B: Biological Sciences 283: 20161529. https://doi.org/10.1098/rspb.2016.1529

Identifying units of biological diversity is a major goal of organismal biology. An increasing literature has focused on the importance of cryptic diversity, defined as the presence of deeply diverged lineages within a single species. While most discoveries of cryptic lineages proceed on a taxon-by-…

Li, X., B. Li, G. Wang, X. Zhan, and M. Holyoak. 2020. Deeply digging the interaction effect in multiple linear regressions using a fractional-power interaction term. MethodsX 7: 101067. https://doi.org/10.1016/j.mex.2020.101067

In multiple regression Y ~ β0 + β1X1 + β2X2 + β3X1 X2 + ɛ., the interaction term is quantified as the product of X1 and X2. We developed fractional-power interaction regression (FPIR), using βX1M X2N as the interaction term. The rationale of FPIR is that the slopes of Y-X1 regression along the X2 gr…

Cardador, L., and T. M. Blackburn. 2020. A global assessment of human influence on niche shifts and risk predictions of bird invasions B. McGill [ed.],. Global Ecology and Biogeography 29: 1956–1966. https://doi.org/10.1111/geb.13166

Aim: Estimating the strength of niche conservatism is key for predictions of invasion risk. Most studies consider only the climatic niche, but other factors, such as human disturbance, also shape niches. Whether occupation of human habitats in the alien range depends on the native tolerances of spec…

Rotenberry, J. T., and P. Balasubramaniam. 2020. Connecting species’ geographical distributions to environmental variables: range maps versus observed points of occurrence. Ecography 43: 897–913. https://doi.org/10.1111/ecog.04871

Connecting the geographical occurrence of a species with underlying environmental variables is fundamental for many analyses of life history evolution and for modeling species distributions for both basic and practical ends. However, raw distributional information comes principally in two forms: poi…