Using species distribution models in paleobiogeography: A matter of data, predictors and concepts

By Sara Varela, Jorge M. Lobo, Joaquín Hortal. 2011

189 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/98cb44f90d1662f8368a95a87cfbbc6c3f428131

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Citations in the corpus

Niche breadth and geographic range size as determinants of species survival on geological time scales (2015, methodology): “, 2013), but it does not, however, eliminate aggregation of occurrences due to heterogeneity in survey efforts or differences in fossilization probability (Varela et al., 2011).”
CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases (2019, background): “…heterogeneity) are arguably the most severe issue in the analysis of the fossil record (Foote, 2000; Xing et al., 2016), overly imprecise or erroneous fossil ages, data entry errors or taxonomic uncertainties can negatively affect the reliability of the analysis (Varela, Lobo, & Hortal, 2011).”
Drawbacks to palaeodistribution modelling: the case of South American seasonally dry forests (2013, background): “Although the fossil record is also an important source of evidence of palaeodistributions, it is usually spatially and temporally sparse (Nogués-Bravo, 2009; Svenning et al., 2011; Varela et al., 2011).”
Modeling Species and Community Responses to Past, Present, and Future Episodes of Climatic and Ecological Change (2015, methodology): “Curation of data is particularly critical when fusing paleodatabases with ENMs because data errors can produce false presences (and absences) of species in geographic and environmental space, which in turn can lead to mischaracterizations of species niches (Varela et al. 2011).”
Outstanding Challenges in the Transferability of Ecological Models. (2018, background): “, harvest and museum records) or paleoecological datasets, although spatio-temporal, collector’s, and taphonomic biases will complicate model calibration and validation [70].”