Assessing the effects of pseudo-absences on predictive distribution model performance

  title={Assessing the effects of pseudo-absences on predictive distribution model performance},
  author={Rosa M Chefaoui and Jorge M. Lobo},
Modelling species distributions with presence data from atlases, museum collections and databases is challenging. In this paper, we compare seven procedures to generate pseudoabsence data, which in turn are used to generate GLM-logistic regressed models when reliable absence data are not available. We use pseudo-absences selected randomly or by means of presence-only methods (ENFA and MDE) to model the distribution of a threatened endemic Iberian moth species (Graellsia isabelae). The results… CONTINUE READING
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Biomapper 3 . 1 . Division of Conservation Biology , University of Bern , Bern , Switzerland

  • A. H. Hirzel, J. Hausser, N. Perrin
  • 2004
Highly Influential
1 Excerpt

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

  • G. King, L. Zeng
  • Acta Oecol .
  • 2007

Environmental and geographical factors affecting the Iberian distribution of flightless Jekelius species ( Coleoptera : Geotrupidae )

  • B. A. Loiselle, C. A. Howell, +4 authors P. H. Williams
  • Div . Dist .
  • 2006

The ghost of unbalanced species distribution data in geographic model predictions

  • A. Jiménez-Valverde, J. M. Lobo
  • Div . Dist .
  • 2006
1 Excerpt

Evaluating the roles of connectivity and environment on faunal turnover : patterns in recent and fossil Iberian mammals

  • J. Hortal, M. Nieto, J. Rodrı́guez, J. M. Lobo
  • 2005
2 Excerpts

Selecting thresholds of occurrence in the prediction of species distributions

  • J. M. Lobo, P. Jay-Robert, J. P. Lumaret
  • Ecography
  • 2005

An evaluation of methods for modelling species distributions

  • F. Skov, J. C. Svenning
  • J . Biogeogr .
  • 2004
1 Excerpt

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