Collinearity in ecological niche modeling: Confusions and challenges

kuenm: an R package for detailed development of ecological niche models using Maxent

(2019) Marlon E. Cobos et al.   PeerJ

A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

(2019) Anna Norberg et al.   ECOLOGICAL MONOGRAPHS

How will climate novelty influence ecological forecasts? Using the Quaternary to assess future reliability

(2018) Matthew C. Fitzpatrick et al.   GLOBAL CHANGE BIOLOGY

Without quality presence-absence data, discrimination metrics such as TSS can be misleading measures of model performance

(2018) Boris Leroy et al.   JOURNAL OF BIOGEOGRAPHY

An evaluation of transferability of ecological niche models

(2018) Huijie Qiao et al.   ECOGRAPHY

Evaluating collinearity effects on species distribution models: An approach based on virtual species simulation

(2018) Paulo De Marco et al.   PLoS One

Implications and alternatives of assigning climate data to geographical centroids

(2017) Daniel S. Park et al.   JOURNAL OF BIOGEOGRAPHY

Incorporating abundance information and guiding variable selection for climate-based ensemble forecasting of species' distributional shifts

(2017) Evan P. Tanner et al.   PLoS One

NicheA: creating virtual species and ecological niches in multivariate environmental scenarios

(2016) Huijie Qiao et al.   ECOGRAPHY

Novel methods to select environmental variables in MaxEnt: A case study using invasive crayfish

(2016) Yiwen Zeng et al.   ECOLOGICAL MODELLING

Climatic Similarity of Extant and Extinct Dasypus Armadillos

(2016) Xiao Feng et al.   JOURNAL OF MAMMALIAN EVOLUTION

Are we overestimating the niche? Removing marginal localities helps ecological niche models detect environmental barriers

(2016) Mariano Soley-Guardia et al.   Ecology and Evolution

virtualspecies, an R package to generate virtual species distributions

(2015) Boris Leroy et al.   ECOGRAPHY

A framework for species distribution modelling with improved pseudo-absence generation

(2015) Maialen Iturbide et al.   ECOLOGICAL MODELLING

A reciprocal test of Darwin's naturalization hypothesis in two mediterranean-climate regions

(2015) Daniel S. Park et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

A practical method to speed up the discovery of unknown populations using Species Distribution Models

(2015) Mauro Fois et al.   JOURNAL FOR NATURE CONSERVATION

Modelling species distributions with simulated virtual species

(2015) Vítězslav Moudrý   JOURNAL OF BIOGEOGRAPHY

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Why close relatives make bad neighbours: phylogenetic conservatism in niche preferences and dispersal disproves Darwin's naturalization hypothesis in the thistle tribe

(2015) Daniel S. Park et al.   MOLECULAR ECOLOGY

Assessment of climatically suitable area for Syrmaticus reevesii under climate change

(2015) X Feng et al.   Endangered Species Research

Comparing species distribution models constructed with different subsets of environmental predictors

(2014) David N. Bucklin et al.   DIVERSITY AND DISTRIBUTIONS

Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models

(2014) Sara Varela et al.   ECOGRAPHY

Effects of alternative sets of climatic predictors on species distribution models and associated estimates of extinction risk: A test with plants in an arid environment

(2014) Patricio Pliscoff et al.   ECOLOGICAL MODELLING

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

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

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

(2014) Yoan Fourcade et al.   PLoS One

ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity forMaxentecological niche models

(2014) Robert Muscarella et al.   Methods in Ecology and Evolution

A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter

(2013) Cory Merow et al.   ECOGRAPHY

Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change

(2013) Veronika Braunisch et al.   ECOGRAPHY

Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas

(2013) Hannah L. Owens et al.   ECOLOGICAL MODELLING

Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes

(2013) Mariya Shcheglovitova et al.   ECOLOGICAL MODELLING

Troubling Trends in Scientific Software Use

(2013) L. N. Joppa et al.   SCIENCE

Niche syndromes, species extinction risks, and management under climate change

(2013) Dov F. Sax et al.   TRENDS IN ECOLOGY & EVOLUTION

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

(2012) Carsten F. Dormann et al.   ECOGRAPHY

Variation in niche and distribution model performance: The need for a priori assessment of key causal factors

(2012) E.E. Saupe et al.   ECOLOGICAL MODELLING

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

(2012) Robert J. Hijmans   ECOLOGY

Using virtual species to study species distributions and model performance

(2012) Christine N. Meynard et al.   JOURNAL OF BIOGEOGRAPHY

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

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

Presence-only modelling using MAXENT: when can we trust the inferences?

(2012) Charles B. Yackulic et al.   Methods in Ecology and Evolution

Current Knowledge of Leishmania Vectors in Mexico: How Geographic Distributions of Species Relate to Transmission Areas

(2011) Camila González et al.   AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE

Choice of predictor variables as a source of uncertainty in continental-scale species distribution modelling under climate change

(2011) Nicholas W. Synes et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

Predicting the potential distribution of an endangered cryptic subterranean mammal from few occurrence records

(2010) Craig R. Jackson et al.   JOURNAL FOR NATURE CONSERVATION

The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela

(2010) Robert P. Anderson et al.   JOURNAL OF BIOGEOGRAPHY

Ecological niche modeling and local knowledge predict new populations of Gymnocladus assamicus a critically endangered tree species

(2010) S Menon et al.   Endangered Species Research

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

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

The effect of prevalence and its interaction with sample size on the reliability of species distribution models

(2009) A. Jiménez-Valverde et al.   COMMUNITY ECOLOGY

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

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

Niches and distributional areas: Concepts, methods, and assumptions

(2009) J. Soberon et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula

(2008) Núria Roura-Pascual et al.   BIOLOGICAL INVASIONS

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

(2008) Steven J. Phillips et al.   ECOGRAPHY

Rethinking receiver operating characteristic analysis applications in ecological niche modeling

(2008) A. Townsend Peterson 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