Field validation shows bias-corrected pseudo-absence selection is the best method for predictive species-distribution modelling

Statistical solutions for error and bias in global citizen science datasets

(2013) Tomas J. Bird et al.   BIOLOGICAL CONSERVATION

On evaluating species distribution models with random background sites in place of absences when test presences disproportionately sample suitable habitat

(2013) Adam B. Smith   DIVERSITY AND DISTRIBUTIONS

The importance of correcting for sampling bias in MaxEnt species distribution models

(2013) Stephanie Kramer-Schadt et al.   DIVERSITY AND DISTRIBUTIONS

Evaluation of species distribution models by resampling of sites surveyed a century ago by Joseph Grinnell

(2013) Adam B. Smith et al.   ECOGRAPHY

Spatial bias in the GBIF database and its effect on modeling species' geographic distributions

(2013) Jan Beck et al.   Ecological Informatics

Climate change and elevational range shifts: evidence from dung beetles in two European mountain ranges

(2013) Rosa Menéndez et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Potential effects of climate change on the distribution of Scarabaeidae dung beetles in Western Europe

(2013) E. Dortel et al.   JOURNAL OF INSECT CONSERVATION

Correction: The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models

(2013) Mindy M. Syfert et al.   PLoS One

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model

(2012) Robert J. Hijmans   ECOLOGY

Correlation and process in species distribution models: bridging a dichotomy

(2012) Carsten F. Dormann et al.   JOURNAL OF BIOGEOGRAPHY

Climatic Associations of British Species Distributions Show Good Transferability in Time but Low Predictive Accuracy for Range Change

(2012) Giovanni Rapacciuolo et al.   PLoS One

Selecting pseudo-absences for species distribution models: how, where and how many?

(2012) Morgane Barbet-Massin et al.   Methods in Ecology and Evolution

pROC: an open-source package for R and S+ to analyze and compare ROC curves

(2011) Xavier Robin et al.   BMC BIOINFORMATICS

Comparative interpretation of count, presence-absence and point methods for species distribution models

(2011) Geert Aarts et al.   Methods in Ecology and Evolution

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

The art of modelling range-shifting species

(2010) Jane Elith et al.   Methods in Ecology and Evolution

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

(2009) Jane Elith et al.   Annual Review of Ecology Evolution and Systematics

Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

(2009) Steven J. Phillips et al.   ECOLOGICAL APPLICATIONS

Spatial prediction of species’ distributions from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging

(2009) Tomislav Hengl et al.   ECOLOGICAL MODELLING

Do pseudo-absence selection strategies influence species distribution models and their predictions? An information-theoretic approach based on simulated data

(2009) Mary S Wisz et al.   BMC ECOLOGY

Effects of sample size on the performance of species distribution models

(2008) M. S. Wisz et al.   DIVERSITY AND DISTRIBUTIONS

Evaluation of consensus methods in predictive species distribution modelling

(2008) Mathieu Marmion et al.   DIVERSITY AND DISTRIBUTIONS

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY

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

(2007) Rosa M. Chefaoui et al.   ECOLOGICAL MODELLING