Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias

How Useful Are Species Distribution Models for Managing Biodiversity under Future Climates?

(2016) Steve J. Sinclair et al.   ECOLOGY AND SOCIETY

PresenceAbsence: AnRPackage for Presence Absence Analysis

(2015) Elizabeth A. Freeman et al.   Journal of Statistical Software

Threshold-dependence as a desirable attribute for discrimination assessment: implications for the evaluation of species distribution models

(2014) Alberto Jiménez-Valverde   BIODIVERSITY AND CONSERVATION

Spatial filtering to reduce sampling bias can improve the performance of ecological niche models

(2014) Robert A. Boria et al.   ECOLOGICAL MODELLING

Confronting expert-based and modelled distributions for species with uncertain conservation status: A case study from the corncrake (Crex crex)

(2013) Yoan Fourcade et al.   BIOLOGICAL CONSERVATION

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

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

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

(2013) Jan Beck et al.   Ecological Informatics

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

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

(2012) Alberto Jiménez-Valverde et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Delimiting the geographical background in species distribution modelling

(2012) Pelayo Acevedo et al.   JOURNAL OF BIOGEOGRAPHY

Sampling bias in geographic and environmental space and its effect on the predictive power of species distribution models

(2012) Nadia Bystriakova et al.   SYSTEMATICS AND BIODIVERSITY

Use of niche models in invasive species risk assessments

(2011) A. Jiménez-Valverde et al.   BIOLOGICAL INVASIONS

Predicting Species Distributions from Samples Collected along Roadsides

(2011) KYLE P. MCCARTHY et al.   CONSERVATION BIOLOGY

The crucial role of the accessible area in ecological niche modeling and species distribution modeling

(2011) Narayani Barve et al.   ECOLOGICAL MODELLING

On the brink of extinction? How climate change may affect global chelonian species richness and distribution

(2011) Flora Ihlow et al.   GLOBAL CHANGE BIOLOGY

Quantitative metrics of overlaps in Grinnellian niches: advances and possible drawbacks

(2011) D. Rödder et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Measuring ecological niche overlap from occurrence and spatial environmental data

(2011) Olivier Broennimann et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Effects of geographical data sampling bias on habitat models of species distributions: a case study with steppe birds in southern Portugal

(2011) Pedro J. Leitão et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Predicting the potential distribution of the invasive Common Waxbill Estrilda astrild (Passeriformes: Estrildidae)

(2011) Darius Stiels et al.   JOURNAL OF ORNITHOLOGY

Population distribution models: species distributions are better modeled using biologically relevant data partitions

(2011) Sergio C Gonzalez et al.   BMC ECOLOGY

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

The Impact of Conservation on the Status of the World's Vertebrates

(2010) M. Hoffmann et al.   SCIENCE

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

Sampling bias and the use of ecological niche modeling in conservation planning: a field evaluation in a biodiversity hotspot

(2009) Gabriel C. Costa et al.   BIODIVERSITY AND CONSERVATION

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

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

Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?

(2009) Jeremy VanDerWal et al.   ECOLOGICAL MODELLING

Niche shift versus niche conservatism? Climatic characteristics of the native and invasive ranges of the Mediterranean house gecko (Hemidactylus turcicus)

(2009) Dennis Rödder et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models

(2009) Samuel D. Veloz   JOURNAL OF BIOGEOGRAPHY

Usefulness of Bioclimatic Models for Studying Climate Change and Invasive Species

(2008) Jonathan M. Jeschke et al.   Annals of the New York Academy of Sciences

Quantification of Extinction Risk: IUCN's System for Classifying Threatened Species

(2008) GEORGINA M. MACE et al.   CONSERVATION BIOLOGY

Effects of sample size on the performance of species distribution models

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

Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates:Nycticebus)

(2008) J. S. Thorn et al.   DIVERSITY AND DISTRIBUTIONS

Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007)

(2008) Steven J. Phillips   ECOGRAPHY

ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION

(2008) Dan L. Warren et al.   EVOLUTION

Integrating GIS-based environmental data into evolutionary biology

(2008) Kenneth H. Kozak et al.   TRENDS IN ECOLOGY & EVOLUTION

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

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

AUC: a misleading measure of the performance of predictive distribution models

(2007) Jorge M. Lobo et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY