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A working guide to boosted regression trees.

• Jane Elith, John R. Leathwick, Trevor J. Hastie
• The Journal of animal ecology
• 2008

1. Ecologists use statistical models for both explanation and prediction, and need techniques that are flexible enough to express typical features of their data, such as nonlinearities and… (More)

Novel methods improve prediction of species ’ distributions from occurrence data

• Jane Elith, Catherine H. Graham, +23 authors Mary Susanne Wisz
• 2006

Jane Elith*, Catherine H. Graham*, Robert P. Anderson, Miroslav Dudı́k, Simon Ferrier, Antoine Guisan, Robert J. Hijmans, Falk Huettmann, John R. Leathwick, Anthony Lehmann, Jin Li, Lucia G. Lohmann,… (More)

A statistical explanation of MaxEnt for ecologists

• Jane Elith, Steven J. Phillips, Trevor J. Hastie, Miroslav Dudı́k, Yung En Chee, Colin J. Yates
• 2010

Species distribution models (SDMs) estimate the relationship between species records at sites and the environmental and/or spatial characteristics of those sites (Franklin, 2009). They are widely… (More)

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

• Carsten F. Dormann, Jane Elith, +14 authors Sven Lautenbach
• 2013

C. F. Dormann (carsten.dormann@biom.uni-freiburg.de), B. Gruber and S. Lautenbach, Helmholtz Centre for Environmental Research-UFZ, Dept of Computational Landscape Ecology, Permoserstr. 15, DE-04318… (More)

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

• Steven J. Phillips, Miroslav Dudík, +4 authors Simon Ferrier
• Ecological applications : a publication of the…
• 2009

Most methods for modeling species distributions from occurrence records require additional data representing the range of environmental conditions in the modeled region. These data, called background… (More)

Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment

• Simon Ferrier, Glenn Manion, Jane Elith, Karen Richardson

Predicting species distributions for conservation decisions

• Antoine Guisan, Reid Tingley, +20 authors Yvonne M Buckley
• Ecology letters
• 2013

Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still… (More)

Variation in demersal fish species richness in the oceans surrounding New Zealand : an analysis using boosted regression trees

• John R. Leathwick, Jane Elith, Malcolm P. Francis, Trevor J. Hastie, Patterson Taylor
• 2005

We analysed relationships between demersal fish species richness, environment and trawl characteristics using an extensive collection of trawl data from the oceans around New Zealand. Analyses were… (More)

Title : Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines Running head : Modelling presence-only…

• Jane Elith, John R. Leathwick
• 2006

In press. Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines. Diversity and Distributions. (A) Abstract… (More)

Presence-only data and the em algorithm.

• Gill A. Ward, Trevor J. Hastie, Simon T. Barry, Jane Elith, John R. Leathwick
• Biometrics
• 2009

SUMMARY In ecological modeling of the habitat of a species, it can be prohibitively expensive to determine species absence. Presence-only data consist of a sample of locations with observed presences… (More)

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