Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases
(2024)
Journal Article
Marchetto, E., Livornese, M., Sabatini, F. M., Tordoni, E., Da Re, D., Lenoir, J., Testolin, R., Bacaro, G., Cazzolla Gatti, R., Chiarucci, A., Foody, G. M., Gábor, L., Groom, Q., Iaria, J., Malavasi, M., Moudrý, V., Santovito, D., Šímová, P., Zannini, P., & Rocchini, D. (2024). Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases. Biodiversity Informatics, 18, https://doi.org/10.17161/bi.v18i.21810
The availability of biodiversity databases is expanding at unprecedented rates. Nevertheless, species occurrence data can be intrinsically biased and contain uncertainties that impact the accuracy and reliability of biodiversity estimates. In this st... Read More about Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases.