Discrimination capacity in species distribution models depends on the representativeness of the environmental domain

By A. Jiménez‐Valverde, P. Acevedo, A. Márcia Barbosa, Jorge M. Lobo, Raimundo Real. 2013

153 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/74b15f931f0609d344378cc93d569eb70ccb0b1a

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

1. J. Secondi
2. Yoan Fourcade
3. J. Engler
4. D. Rödder
5. A. Stigall
6. R. P. Anderson
7. Mariya Shcheglovitova

In Ecology

1. J. Secondi
2. Yoan Fourcade
3. J. Engler
4. D. Rödder
5. A. Stigall
6. R. P. Anderson
7. Mariya Shcheglovitova

In Genetics

1. J. Engler
2. J. Secondi
3. D. Rödder
4. Yoan Fourcade

Citations in the corpus

• Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias (2014, methodology): “AUC may be a good statistical measure of discrimination ability, but it often fails to quantify the ecological realism of modeled distribution [72,73,83] especially when estimated from presence-only data.”