Wrong, but useful: regional species distribution models may not be improved by range-wide data under biased sampling
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Wrong, but useful: regional species distribution models may not be improved by range-wide data under biased sampling
Authors
Keywords
-
Journal
Ecology and Evolution
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2018-01-25
DOI
10.1002/ece3.3834
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A high-resolution model of bat diversity and endemism for continental Africa
- (2016) K. Matthias B. Herkt et al. ECOLOGICAL MODELLING
- Improving niche and range estimates with Maxent and point process models by integrating spatially explicit information
- (2016) Cory Merow et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- Selecting predictors to maximize the transferability of species distribution models: lessons from cross-continental plant invasions
- (2016) Blaise Petitpierre et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- Conserving Egypt's reptiles under climate change
- (2016) Ahmed El-Gabbas et al. JOURNAL OF ARID ENVIRONMENTS
- Is my species distribution model fit for purpose? Matching data and models to applications
- (2015) Gurutzeta Guillera-Arroita et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- Point process models for presence-only analysis
- (2015) Ian W. Renner et al. Methods in Ecology and Evolution
- Squares of different sizes: effect of geographical projection on model parameter estimates in species distribution modeling
- (2015) Lara Budic et al. Ecology and Evolution
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- What do we gain from simplicity versus complexity in species distribution models?
- (2014) Cory Merow et al. ECOGRAPHY
- 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
- Bias correction in species distribution models: pooling survey and collection data for multiple species
- (2014) William Fithian et al. Methods in Ecology and Evolution
- Incorporating model complexity and spatial sampling bias into ecological niche models of climate change risks faced by 90 California vertebrate species of concern
- (2013) Dan L. Warren et al. DIVERSITY AND DISTRIBUTIONS
- Predicting species distributions for conservation decisions
- (2013) Antoine Guisan et al. ECOLOGY LETTERS
- Partial versus Full Species Distribution Models
- (2013) Niels Raes Natureza & Conservacao
- Model-Based Control of Observer Bias for the Analysis of Presence-Only Data in Ecology
- (2013) David I. Warton 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
- Correlation and process in species distribution models: bridging a dichotomy
- (2012) Carsten F. Dormann et al. JOURNAL OF BIOGEOGRAPHY
- 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
- Climate change threatens European conservation areas
- (2011) Miguel B. Araújo et al. ECOLOGY LETTERS
- Species distribution models that do not incorporate global data misrepresent potential distributions: a case study using Iberian diving beetles
- (2010) David Sánchez-Fernández et al. DIVERSITY AND DISTRIBUTIONS
- A statistical explanation of MaxEnt for ecologists
- (2010) Jane Elith et al. DIVERSITY AND DISTRIBUTIONS
- How much do we overestimate future local extinction rates when restricting the range of occurrence data in climate suitability models?
- (2010) Morgane Barbet-Massin 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
- Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
- (2009) Steven J. Phillips et al. ECOLOGICAL APPLICATIONS
- Effects of sample size on the performance of species distribution models
- (2008) M. S. Wisz et al. DIVERSITY AND DISTRIBUTIONS
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- (2008) Steven J. Phillips et al. ECOGRAPHY
- COMPONENTS OF UNCERTAINTY IN SPECIES DISTRIBUTION ANALYSIS: A CASE STUDY OF THE GREAT GREY SHRIKE
- (2008) Carsten F. Dormann et al. ECOLOGY
- AUC: a misleading measure of the performance of predictive distribution models
- (2007) Jorge M. Lobo et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now