Bryan S. McLean
Bryan S. McLean; Bryan Stephen McLean; Bryan McLean
Wissenschaft ermöglicht durch Exemplardaten
Borisova, N. G., A. I. Starkov, A. V. Lizunova, S. V. Popov, and M. A. Erbajeva. 2020. Spatial Assessment of the Climatic Niche of Daurian Pika. Contemporary Problems of Ecology 13: 469–483. https://doi.org/10.1134/S1995425520050030
One basic task of environmental activities under the conditions of rapid climate changes is to determine the degree of species vulnerability to a certain vector of climate changes. Using Maxent 3.4.1 software, this study has modeled the climatic niche of Daurian pika based on 273 points of its conte…
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…
Deb, J. C., G. Forbes, and D. A. MacLean. 2020. Modelling the spatial distribution of selected North American woodland mammals under future climate scenarios. Mammal Review 50: 440–452. https://doi.org/10.1111/mam.12210
North America has a diverse array of mammalian species. Model projections indicate significant variations in future climate conditions of North America, and the habitats of woodland mammals of this continent may be particularly sensitive to changes in climate.We report on the potential spatial distr…
Rankin, A. M., R. S. Schwartz, C. H. Floyd, and K. E. Galbreath. 2019. Contrasting consequences of historical climate change for marmots at northern and temperate latitudes. Journal of Mammalogy 100: 328–344. https://doi.org/10.1093/jmammal/gyz025
Many species that occupy high latitudes of North America were historically restricted to relatively small refugia during the Last Glacial Maximum (LGM). The geographic ranges of many of these species then expanded widely across the continent after glacial ice receded. In contrast, species whose LGM …
Liu, X., T. M. Blackburn, T. Song, X. Li, C. Huang, and Y. Li. 2019. Risks of Biological Invasion on the Belt and Road. Current Biology 29: 499-505.e4. https://doi.org/10.1016/j.cub.2018.12.036
China’s Belt and Road Initiative (BRI) is an unprecedented global development program that involves nearly half of the world’s countries [1]. It not only will have economic and political influences, but also may generate multiple environmental challenges and is a focus of considerable academic and p…
Inman, R., J. Franklin, T. Esque, and K. Nussear. 2018. Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models. Quaternary Science Reviews 198: 115–125. https://doi.org/10.1016/j.quascirev.2018.08.015
The ability to infer paleo-distributions with limited knowledge of absence makes species distribution modeling (SDM) a useful tool for exploring paleobiogeographic questions. Spatial sampling bias is a known issue when modeling extant species. Here we quantify the spatial sampling bias in a North Am…
Antonelli, A., A. Zizka, F. A. Carvalho, R. Scharn, C. D. Bacon, D. Silvestro, and F. L. Condamine. 2018. Amazonia is the primary source of Neotropical biodiversity. Proceedings of the National Academy of Sciences 115: 6034–6039. https://doi.org/10.1073/pnas.1713819115
The American tropics (the Neotropics) are the most species-rich realm on Earth, and for centuries, scientists have attempted to understand the origins and evolution of their biodiversity. It is now clear that different regions and taxonomic groups have responded differently to geological and climati…