Ciencia habilitada por datos de especímenes

Hughes, A. C., M. C. Orr, K. Ma, M. J. Costello, J. Waller, P. Provoost, Q. Yang, et al. 2021. Sampling biases shape our view of the natural world. Ecography 44: 1259–1269. 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.…

Oegelund Nielsen, R., R. da Silva, J. Juergens, J. Staerk, L. Lindholm Sørensen, J. Jackson, S. Q. Smeele, and D. A. Conde. 2020. Standardized data to support conservation prioritization for sharks and batoids (Elasmobranchii). Data in Brief 33: 106337. https://doi.org/10.1016/j.dib.2020.106337

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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…

Ewers‐Saucedo, C., and P. Pappalardo. 2019. Testing adaptive hypotheses on the evolution of larval life history in acorn and stalked barnacles. Ecology and Evolution 9: 11434–11447. https://doi.org/10.1002/ece3.5645

Despite strong selective pressure to optimize larval life history in marine environments, there is a wide diversity with regard to developmental mode, size, and time larvae spend in the plankton. In the present study, we assessed if adaptive hypotheses explain the distribution of the larval life his…