A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter
Microsoft (United States) · University of Connecticut
Abstract
The MaxEnt software package is one of the most popular tools for species distribution and environmental niche modeling, with over 1000 published applications since 2006. Its popularity is likely for two reasons: 1) MaxEnt typically outperforms other methods based on predictive accuracy and 2) the software is particularly easy to use. MaxEnt users must make a number of decisions about how they should select their input data and choose from a wide variety of settings in the software package to build models from these data. The underlying basis for making these decisions is unclear in many studies, and default settings are apparently chosen, even though alternative settings are often more appropriate. In this…
Citation impact
- FWCI
- 143.60
- Percentile
- 100%
- References
- 69
Authors
3Topics & keywords
- Computer science
- Variety (cybernetics)
- Prospectus
- Software
- Environmental niche modelling
- Popularity
- Data science
- Predictive modelling
- Life in Land