Wissenschaft ermöglicht durch Exemplardaten
Zigler, K., M. Niemiller, C. Stephen, B. Ayala, M. Milne, N. Gladstone, A. Engel, et al. 2020. Biodiversity from caves and other sub-terranean habitats of Georgia, USA. Journal of Cave and Karst Studies 82: 125–167. https://doi.org/10.4311/2019LSC0125
We provide an annotated checklist of species recorded from caves and other subterranean habitats in the state of Georgia, USA. We report 281 species (228 invertebrates and 53 vertebrates), including 51 troglobionts (cave-obligate species), from more than 150 sites (caves, springs, and wells). Endemi…
Ringelberg, J. J., N. E. Zimmermann, A. Weeks, M. Lavin, and C. E. Hughes. 2020. Biomes as evolutionary arenas: Convergence and conservatism in the trans‐continental succulent biome A. Moles [ed.],. Global Ecology and Biogeography 29: 1100–1113. https://doi.org/10.1111/geb.13089
Aim: Historically, biomes have been defined based on their structurally and functionally similar vegetation, but there is debate about whether these similarities are superficial, and about how biomes are defined and mapped. We propose that combined assessment of evolutionary convergence of plant fun…
McCoshum, S. M., and M. A. Geber. 2020. Land Conversion for Solar Facilities and Urban Sprawl in Southwest Deserts Causes Different Amounts of Habitat Loss for Ashmeadiella Bees. Journal of the Kansas Entomological Society 92: 468. https://doi.org/10.2317/0022-8567-92.2.468
Land conversion for human use poses one of the greatest threats to terrestrial ecosystems and causes habitat loss for a myriad of species. The development of large solar energy facilities and urban sprawl are converting wild lands in the Southwest deserts of the USA for human use and resulting in ha…
Daniel, J., J. Horrocks, and G. J. Umphrey. 2019. Efficient Modelling of Presence-Only Species Data via Local Background Sampling. Journal of Agricultural, Biological and Environmental Statistics 25: 90–111. https://doi.org/10.1007/s13253-019-00380-4
In species distribution modelling, records of species presence are often modelled as a realization of a spatial point process whose intensity is a function of environmental covariates. One way to fit a spatial point process model is to apply logistic regression to an artificial case–control sample c…
Ezray, B. D., D. C. Wham, C. E. Hill, and H. M. Hines. 2019. Unsupervised machine learning reveals mimicry complexes in bumblebees occur along a perceptual continuum. Proceedings of the Royal Society B: Biological Sciences 286: 20191501. https://doi.org/10.1098/rspb.2019.1501
Müllerian mimicry theory states that frequency-dependent selection should favour geographical convergence of harmful species onto a shared colour pattern. As such, mimetic patterns are commonly circumscribed into discrete mimicry complexes, each containing a predominant phenotype. Outside a few exam…
Chevalier, M. 2019. Enabling possibilities to quantify past climate from fossil assemblages at a global scale. Global and Planetary Change 175: 27–35. https://doi.org/10.1016/j.gloplacha.2019.01.016
The field of quantitative palaeoclimatology has made significant progress in the past decades. However, this progress has been spatially heterogeneous and strong discrepancies – both in terms of quality and density – exist between Europe and North America and the rest of the world. The need to balan…
Koch, J. B., R. Vandame, J. Mérida‐Rivas, P. Sagot, and J. Strange. 2018. Quaternary climate instability is correlated with patterns of population genetic variability in Bombus huntii. Ecology and Evolution 8: 7849–7864. https://doi.org/10.1002/ece3.4294
Climate oscillations have left a significant impact on the patterns of genetic diversity observed in numerous taxa. In this study, we examine the effect of Quaternary climate instability on population genetic variability of a bumble bee pollinator species, Bombus huntii in western North America. Ple…