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)
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)
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)
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)
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)
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)
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)
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)
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)