Resource

Maxent software for modeling species niches and distributions

The Maxent software is based on the maximum-entropy approach for modeling species niches and distributions. From a set of environmental (e.g., climatic) grids and georeferenced occurrence localities (e.g. mediated by GBIF), the model expresses a probability distribution where each grid cell has a predicted suitability of conditions for the species. Under particular assumptions about the input data and biological sampling efforts that led to occurrence records, the output can be interpreted as predicted probability of presence (cloglog transform), or as predicted local abundance (raw exponential output).. Maxent is a Java-based application and can be used on any computer running Java version 1.5 or later.

Abstract 

The model for a species is determined from a set of environmental or climate layers (or "coverages") for a set of grid cells in a landscape, together with a set of sample locations where the species has been observed.  The model expresses the suitability of each grid cell as a function of the environmental variables at that grid cell.  A high value of the function at a particular grid cell indicates that the grid cell is predicted to have suitable conditions for that species.  The computed model is a probability distribution over all the grid cells.  The distribution chosen is the one that has maximum entropy subject to some constraints: it must have the same expectation for each feature (derived from the environmental layers) as the average over sample locations.

Citation 

Steven J. Phillips, Miroslav Dudík, Robert E. Schapire. [Internet] Maxent software for modeling species niches and distributions (Version 3.4.0). Available from url: http://biodiversityinformatics.amnh.org/open_source/maxent/. Accessed on <date>.

Author(s) 

Steven J. Phillips, Miroslav Dudík, Robert E. Schapire

Rights 

Released under a MIT license: Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

Rights holder 

Steven J. Phillips, Miroslav Dudík, Robert E. Schapire.