tue_further_reading.Rmd

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# Further reading

1. Meyer, C., Kreft, H., Guralnick, R.P. & Jetz, W. (2015). Global priorities for an effective information basis of biodiversity distributions. Nat. Commun., 6, 8221

2. Maldonado, C., Molina, C.I., Zizka, A., Persson, C., Taylor, C.M., Albán, J., Chilquillo, E., Rønsted, N. and Antonelli, A. (2015), Species diversity and distribution in the era of Big Data. Global Ecology and Biogeography, 24: 973-984. https://doi.org/10.1111/geb.12326

3.  Zizka, A, Silvestro, D, Andermann, T, et al. CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases. Methods Ecol Evol. 2019; 10: 744– 751. https://doi.org/10.1111/2041-210X.13152 

4. Zizka A, Antunes Carvalho F, Calvente A, Rocio Baez-Lizarazo M, Cabral A, Coelho JFR, Colli-Silva M, Fantinati MR, Fernandes MF, Ferreira-Araújo T, Gondim Lambert Moreira F, Santos NMC, Santos TAB, dos Santos-Costa RC, Serrano FC, Alves da Silva AP, de Souza Soares A, Cavalcante de Souza PG, Calisto Tomaz E, Vale VF, Vieira TL, Antonelli A. 2020. No one-size-fits-all solution to clean GBIF. PeerJ 8:e9916 https://doi.org/10.7717/peerj.9916

5. Zizka, A., Antonelli, A. and Silvestro, D. (2021), sampbias, a method for quantifying geographic sampling biases in species distribution data. Ecography, 44: 25-32. https://doi.org/10.1111/ecog.05102

6. Daru, B.H., Park, D.S., Primack, R.B., Willis, C.G., Barrington, D.S., Whitfeld, T.J.S., Seidler, T.G., Sweeney, P.W., Foster, D.R., Ellison, A.M. and Davis, C.C. (2018), Widespread sampling biases in herbaria revealed from large‐scale digitization. New Phytol, 217: 939-955. https://doi.org/10.1111/nph.14855