flexsdm : An r package for supporting a comprehensive and flexible species distribution modelling workflow

Assessing the reliability of species distribution projections in climate change research

(2021) Luca Santini et al.   DIVERSITY AND DISTRIBUTIONS

Fine-tuning niche models matters in invasion ecology. A lesson from the land planarian Obama nungara.

(2021) Yoan Fourcade   ECOLOGICAL MODELLING

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

(2020) Poliana Mendes et al.   ECOLOGICAL MODELLING

Overprediction of species distribution models in conservation planning: A still neglected issue with strong effects

(2020) Santiago José Elías Velazco et al.   BIOLOGICAL CONSERVATION

A dark scenario for Cerrado plant species: Effects of future climate, land use and protected areas ineffectiveness

(2019) Santiago José Elías Velazco et al.   DIVERSITY AND DISTRIBUTIONS

Bunching up the background betters bias in species distribution models

(2019) Julien Vollering et al.   ECOGRAPHY

Model complexity affects species distribution projections under climate change

(2019) Philipp Brun et al.   JOURNAL OF BIOGEOGRAPHY

The effect of sample size on the accuracy of species distribution models: considering both presences and pseudo-absences or background sites

(2018) Canran Liu 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

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

(2018) Paulo De Marco et al.   PLoS One

MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review

(2017) Narkis S. Morales et al.   PeerJ

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

Performance metrics and variance partitioning reveal sources of uncertainty in species distribution models

(2015) James I. Watling et al.   ECOLOGICAL MODELLING

Overcoming limitations of modelling rare species by using ensembles of small models

(2015) Frank T. Breiner et al.   Methods in Ecology and Evolution

No silver bullets in correlative ecological niche modelling: insights from testing among many potential algorithms for niche estimation

(2015) Huijie Qiao et al.   Methods in Ecology and Evolution

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

(2014) Sara Varela et al.   ECOGRAPHY

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

Species distribution models in conservation biogeography: developments and challenges

(2013) Janet Franklin   DIVERSITY AND DISTRIBUTIONS

Species Distribution Modeling and Ecological Niche Modeling: Getting the Concepts Right

(2013) A. Townsend Peterson et al.   Natureza & Conservacao

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

(2011) Narayani Barve et al.   ECOLOGICAL MODELLING

The art of modelling range-shifting species

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

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

Modeling a spatially restricted distribution in the Neotropics: How the size of calibration area affects the performance of five presence-only methods

(2009) João G.R. Giovanelli et al.   ECOLOGICAL MODELLING

A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa

(2008) Elizabeth A. Freeman et al.   ECOLOGICAL MODELLING