A call for the review of public biodiversity databases
Author:
Publisher
Magnolia Press
Subject
Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics
Reference9 articles.
1. Araújo, M.B., Anderson, R.P., Barbosa, A.M., Beale, C.M., Dormann, C.F., Early, R., Garcia, R.A., Guisan, A., Maiorano, L., Naimi, B., O’Hara, R.B., Zimmermann, N.E. & Rahbek, C. (2019) Standards for distribution models in biodiversity assessments. Science Advances, 5, eaat4858. https://doi.org/10.1126/sciadv.aat4858
2. Durso, A.M., Bolon, I., Kleinhesselink, A.R., Mondardini, M.R., Fernandez-Marquez, J.L., Gutsche-Jones, F., Gwilliams, C., Tanner, M., Smith, C.E., Wüster, W., Grey, F. & Ruiz de Castañeda, R. (2021) Crowdsourcing snake identification with online communities of professional herpetologists and avocational snake enthusiasts. Royal Society Open Science, 8, 201273. https://doi.org/10.1098/rsos.201273
3. Eversole, C.B, Powell, R.L., Lizarro, D.E., Moreno, F., Vaca, G.C., Aparicio, J. & Crocker, A.V. (2019) Introduction of a novel natural history collection: a model for global scientific collaboration and enhancement of biodiversity infrastructure with a focus on developing countries. Biodiversity and Conservation, 28, 1921–1931. https://doi.org/10.1007/s10531-019-01765-0
4. Hedrick, B.P., Heberling, J.M., Meineke, E.K., Turner, K.G., Grassa, C.J., Park, D.S., Kennedy, J., Clarke, J.A., Cook, J.A., Blackburn, D.C., Edwards, S.V. & Davis, C.C. (2020) Digitization and the future of natural history collections. BioScience, 70, 243–251. https://doi.org/10.1093/biosci/biz163
5. Marshall, C.R., Finnegan, S., Clites, E.C., Holroyd, P.A., Bonuso, N., Cortez, C., Davis, E., Dietl, G.P., Druckenmiller, P.S., Eng, R.C., Garcia, C., Estes-Smargiassi, K., Hendy, A., Hollis, K.A., Little, H., Nesbitt, E.A., Roopnarine, P., Skibinski, L., Vendetti, J. & White, L.D. (2018) Quantifying the dark data in museum fossil collections as palaeontology undergoes a second digital revolution. Biology Letters, 14, 20180431. https://doi.org/10.1098/rsbl.2018.0431
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