A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter
Top Cited Papers
- 18 June 2013
- Vol. 36 (10), 1058-1069
- https://doi.org/10.1111/j.1600-0587.2013.07872.x
Abstract
No abstract availableThis publication has 56 references indexed in Scilit:
- Likelihood analysis of species occurrence probability from presence‐only data for modelling species distributionsMethods in Ecology and Evolution, 2012
- Point Pattern Modelling for Degraded Presence-Only Data Over Large RegionsJournal of the Royal Statistical Society Series C: Applied Statistics, 2011
- Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with MaxentEcological Modelling, 2011
- Predicting species distributions from checklist data using site‐occupancy modelsJournal of Biogeography, 2010
- Maximum entropy, logistic regression, and species abundanceOikos, 2010
- Modeling a spatially restricted distribution in the Neotropics: How the size of calibration area affects the performance of five presence-only methodsEcological Modelling, 2010
- Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?Ecological Modelling, 2009
- Do pseudo-absence selection strategies influence species distribution models and their predictions? An information-theoretic approach based on simulated dataBMC Ecology, 2009
- Evolution of diversity: the Cape floraTrends in Plant Science, 2005
- New developments in museum-based informatics and applications in biodiversity analysisTrends in Ecology & Evolution, 2004