Evaluating presence-absence models in ecology: the need to account for prevalence

By S. Manel, H. C. Williams, S. J. Ormerod. 2001

1,883 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/172c635b6eda5aa4fd1e3709656db433ef6d0971

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Constrain to perform: Regularization of habitat models (2006, background): “Prevalence Prevalence can have a strong effect on model pe ance(Manel et al., 2001).”
Tropicalization of fish assemblages in temperate biogeographic transition zones (2014, background): “Twenty levels of threshold were simulated, and the best threshold was chosen based on the simultaneous maximization of the specificity (proportion of correctly predicted absences) and sensitivity (proportion of correctly predicted presences) of the predictive model (Manel et al. 2001).”
An evaluation of methods for modelling species distributions (2004, background): “Similarly, Manel et al. (2001) investigated how model performance varied with the number of records per species relative to the number of samples (i.e. prevalence).”
Species traits are associated with the quality of bioclimatic models (2008, methodology): “Modelling accuracy was measured using the area under the curve (AUC) of a receiver–operating characteristic (ROC) plot (Fielding & Bell, 1997), because this measure has been shown to be robust against the effects of data prevalence (Manel et al ., 2001; Huntley et al ., 2004).”
Measuring the accuracy of species distribution models: a review (2009, methodology): “This index has also been introduced to SDM (Fielding and Bell, 1997), and has been used in a few studies (e.g. Manel et al., 2001).”
Habitat selection by yellowhammers Emberiza citrinella on lowland farmland at two spatial scales: implications for conservation management (2005, methodology): “First, following Manel, Williams & Ormerod (2001) , we used a cut-off threshold of predicted probability of 0·5.”
Presence-absence versus presence-only modelling methods for predicting bird habitat suitability (2004, methodology): “A major but variable role of prevalence on the predictive accuracy of habitat models has been stressed by several studies (Arau ´ jo and Williams 2000, Pearce and Ferrier 2000, Manel et al. 2001, Stockwell and Peterson 2002b).”
Effects of the number of presences on reliability and stability of MARS species distribution models: the importance of regional niche variation and ecological heterogeneity (2010, background): “…on absence (e.g. Zaniewski et al. 2002; Brotons et al. 2004; Pearce & Boyce 2006; Mateo et al. 2010); and others have also studied why widespread species are usually harder to model than narrowly distributed organisms (Manel et al. 2001; Luoto et al. 2005; Elith et al. 2006; McPherson & Jetz 2007).”