Target‐group backgrounds prove effective at correcting sampling bias in Maxent models

Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data

(2020) Yi Moua et al.   Ecological Informatics

Dealing with overprediction in species distribution models: How adding distance constraints can improve model accuracy

(2020) Poliana Mendes et al.   ECOLOGICAL MODELLING

Testing methods in species distribution modelling using virtual species: what have we learnt and what are we missing?

(2019) Christine N. Meynard et al.   ECOGRAPHY

Bunching up the background betters bias in species distribution models

(2019) Julien Vollering et al.   ECOGRAPHY

Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records

(2018) Sophie Monsarrat et al.   ECOGRAPHY

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

Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics

(2017) Yoan Fourcade et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

(2017) Stephen E. Fick et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Performance tradeoffs in target-group bias correction for species distribution models

(2016) Nathan Ranc et al.   ECOGRAPHY

virtualspecies, an R package to generate virtual species distributions

(2015) Boris Leroy et al.   ECOGRAPHY

spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models

(2015) Matthew E. Aiello-Lammens et al.   ECOGRAPHY

Accounting for spatially biased sampling effort in presence-only species distribution modelling

(2014) Jessica Stolar et al.   DIVERSITY AND DISTRIBUTIONS

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

Bias correction in species distribution models: pooling survey and collection data for multiple species

(2014) William Fithian et al.   Methods in Ecology and Evolution

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

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

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

A spatially explicit methodology fora prioriestimation of field survey effort in environmental observation networks

(2013) Carlos Guerra et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Making better Maxentmodels of species distributions: complexity, overfitting and evaluation

(2013) Aleksandar Radosavljevic et al.   JOURNAL OF BIOGEOGRAPHY

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

Model-Based Control of Observer Bias for the Analysis of Presence-Only Data in Ecology

(2013) David I. Warton et al.   PLoS One

Delimiting the geographical background in species distribution modelling

(2012) Pelayo Acevedo 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

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

(2011) Narayani Barve et al.   ECOLOGICAL MODELLING

Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent

(2011) Robert P. Anderson et al.   ECOLOGICAL MODELLING

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

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

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

The uncertain nature of absences and their importance in species distribution modelling

(2010) Jorge M. Lobo et al.   ECOGRAPHY

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

Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models

(2010) Tim Newbold   PROGRESS IN PHYSICAL GEOGRAPHY

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

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

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

(2009) Samuel D. Veloz   JOURNAL OF BIOGEOGRAPHY

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

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

Effects of sample size on the performance of species distribution models

(2008) M. S. Wisz 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