Threshold criteria for conversion of probability of species presence to either–or presence–absence

By A. Jiménez‐Valverde, Jorge M. Lobo. 2007

920 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/2c5f683251b8b9c9f78208cdb41050fa1d18cd23

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

The importance of correcting for sampling bias in MaxEnt species distribution models (2013, methodology): “…to check for robustness of results, we compared four commonly used MaxEnt thresholds to define the percentage of suitable habitat (Liu et al., 2005; Jimenez-Valverde & Lobo, 2007): (1) MaxEnt relative suitability probability > 0.5 as a fixed threshold approach corresponding to a temporal and…”
The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models (2012, methodology): “In this case, setting the probability threshold to the original prevalence is inadvisable (Jimenez-Valverde and Lobo 2007).”
Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data (2011, methodology): “…a true presence point, one must use an appropriate cut-off value to convert decimal fraction probabilities to a binary variable (Liu et al. 2005; Jiménez-Valverde & Lobo 2006; Jiménez-Valverde & Lobo 2007), or re-scale logistic probabilities by applying a favourability function (Real et al. 2006).”
Environmental Niche Equivalency versus Conservatism: Quantitative Approaches to Niche Evolution (2008, methodology): “If environmental niches are strongly conserved, communities with shared β-niche characteristics may be comprised of particularly closely related species (Webb et al. 2002; Johnson and Stinchcombe 2007).”
Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia (2009, methodology): “5 (That is, the threshold above which the species is more likely to be present; Jimenez-Valverde and Lobo, 2007); it was estimated to be 1,305 km(2).”
Not as good as they seem: the importance of concepts in species distribution modelling (2008, methodology): “…is not available, two alternatives can be taken: (i) generate absences outside the environmental domain where the species is present and use them for model parameterization (see, for example, Jiménez-Valverde & Lobo, 2007a); and (ii) use profile techniques such as those evaluated by Tsoar et al .”
Selecting pseudo‐absences for species distribution models: how, where and how many? (2012, background): “This threshold was shown to produce the most accurate predictions (Jimenez-Valverde & Lobo 2007).”
Glacial refugia of temperate trees in Europe: insights from species distribution modelling (2008, methodology): “As the nelim criterion involves a certain degree of subjectivity, the threshold was also selected using Maxent’s maximum training sensitivity plus specificity threshold (mts + s) criterion, which has recently been shown to produce highly accurate predictions (Jiménez-Valverde & Lobo 2007).”
Accounting for uncertainty when mapping species distributions: The need for maps of ignorance (2011, background): “Selecting such cut-off is not straightforward; some general recommendations have been proposed for such selection (Jiménez-Valverde and Lobo, 2007), but the final choice still depends on the intended use.”
The virtual ecologist approach: simulating data and observers (2010, background): “Other studies tested different threshold criteria (Jiménez-Valverde and Lobo 2007) or the use of favourability functions (Real et al.”