Maximum entropy niche-based modelling of seasonal changes in little bustard (Tetrax tetrax) distribution

By S. Suárez‐Seoane, E. L. G. D. L. Morena, M. Prieto, Patrick E. Osborne, E. D. Juana. 2008

101 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/aa7361adc58a62940a80c56640da3f6ffb3136d8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Rune Halvorsen
2. Roger A. Baldwin
3. Mariano Méndez-Suárez
4. Cory Merow
5. John A. Silander

In Ecology

1. Rune Halvorsen
2. Roger A. Baldwin
3. Mariano Méndez-Suárez

In Nature and Landscape Conservation

1. Rune Halvorsen
2. Roger A. Baldwin
3. Mariano Méndez-Suárez
4. Cory Merow
5. John A. Silander

Citations in the corpus

• A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling (2013, methodology): “The similarity between MaxEnt on one hand and GLM and GAM on the other with respect to flexibility in model fitting is also pointed out by Phillips et al. (2006), Suárez-Seoane et al. (2008), Willems & Hill (2009) and Elith et al. (2011).”
• Use of Maximum Entropy Modeling in Wildlife Research (2009, background): “[32] Little bustard (Tetrax tetrax) Central Spain Model seasonal changes in distribution”