Science Rendue Possible

Baumbach, L., Warren, D. L., Yousefpour, R., & Hanewinkel, M. (2021). Climate change may induce connectivity loss and mountaintop extinction in Central American forests. Communications Biology, 4(1). doi:10.1038/s42003-021-02359-9 https://doi.org/10.1038/s42003-021-02359-9

The tropical forests of Central America serve a pivotal role as biodiversity hotspots and provide ecosystem services securing human livelihood. However, climate change is expected to affect the species composition of forest ecosystems, lead to forest type transitions and trigger irrecoverable losses…

Roberts, J., & Florentine, S. (2021). Biology, distribution and control of the invasive species Ulex europaeus (Gorse): A global synthesis of current and future management challenges and research gaps. Weed Research. doi:10.1111/wre.12491 https://doi.org/10.1111/wre.12491

Ulex europaeus (Gorse) is one of the most invasive shrubs in the world, being now found in more than 50 countries where it economically and environmentally degrades the land. This highly versatile shrub can live more than 30 years and produce over 18,000 fertile seeds annually that can remain viable…

Miller, E. F., Green, R. E., Balmford, A., Maisano Delser, P., Beyer, R., Somveille, M., … Manica, A. (2021). Bayesian Skyline Plots disagree with range size changes based on Species Distribution Models for Holarctic birds. Molecular Ecology. doi:10.1111/mec.16032 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 …

Hughes, A. C., Orr, M. C., Ma, K., Costello, M. J., Waller, J., Provoost, P., … Qiao, H. (2021). Sampling biases shape our view of the natural world. Ecography. doi:10.1111/ecog.05926 https://doi.org/10.1111/ecog.05926

Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of bias patterns or their consequences exists. As such, views of organismal distribution and the ecosystems they make up may be incorrect, undermining countless ecological and evolutionary studies.…

De Oliveira, M. H. V., Torke, B. M., & Almeida, T. E. (2021). An inventory of the ferns and lycophytes of the Lower Tapajós River Basin in the Brazilian Amazon reveals collecting biases, sampling gaps, and previously undocumented diversity. Brittonia. doi:10.1007/s12228-021-09668-7 https://doi.org/10.1007/s12228-021-09668-7

Ferns and lycophytes are an excellent group for conservation and species distribution studies because they are closely related to environmental changes. In this study, we analyzed collection gaps, sampling biases, richness distribution, and the species conservation effectiveness of protected areas i…

Jin, W.-T., Gernandt, D. S., Wehenkel, C., Xia, X.-M., Wei, X.-X., & Wang, X.-Q. (2021). Phylogenomic and ecological analyses reveal the spatiotemporal evolution of global pines. Proceedings of the National Academy of Sciences, 118(20), e2022302118. doi:10.1073/pnas.2022302118 https://doi.org/10.1073/pnas.2022302118

How coniferous forests evolved in the Northern Hemisphere remains largely unknown. Unlike most groups of organisms that generally follow a latitudinal diversity gradient, most conifer species in the Northern Hemisphere are distributed in mountainous areas at middle latitudes. It is of great interest…

Bontrager, M., Usui, T., Lee‐Yaw, J. A., Anstett, D. N., Branch, H. A., Hargreaves, A. L., … Angert, A. L. (2021). Adaptation across geographic ranges is consistent with strong selection in marginal climates and legacies of range expansion. Evolution. doi:10.1111/evo.14231 https://doi.org/10.1111/evo.14231

Every species experiences limits to its geographic distribution. Some evolutionary models predict that populations at range edges are less well‐adapted to their local environments due to drift, expansion load, or swamping gene flow from the range interior. Alternatively, populations near range edges…

Mazijk, R., Cramer, M. D., & Verboom, G. A. (2021). Environmental heterogeneity explains contrasting plant species richness between the South African Cape and southwestern Australia. Journal of Biogeography. doi:10.1111/jbi.14118 https://doi.org/10.1111/jbi.14118

Aim: Given the importance of environmental heterogeneity as a driver of species richness through its effects on species diversification and coexistence, we asked whether the dramatic difference in species richness per unit area between two similar Mediterranean‐type biodiversity hotspots is explaine…

Wieringa, J. G., Carstens, B. C., & Gibbs, H. L. (2021). Predicting migration routes for three species of migratory bats using species distribution models. PeerJ, 9, e11177. doi:10.7717/peerj.11177 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., Franklin, J., Esque, T., & Nussear, K. (2021). Comparing sample bias correction methods for species distribution modeling using virtual species. Ecosphere, 12(3). doi:10.1002/ecs2.3422 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…