Dear all,
I work with
a group of plants having a (very) narrow distribution. For each species I have
only a limited number of data of occurrence. I would like to run Maxent using
the »leave one out« approach suggested by Pearson & al (2007). I'm a little
bit confused how to do it.
Do I have to prepare n datasets with n-1 data
of occurrence and run it in Maxent? And, if it is so, what is then my final
model? Is the one selected after model selection or the average model, as I could
notice in some works?
Pearson & al propose to calculate P using the software accompanying the paper, but as I could notice, this software is not available anymore. Is correct then to use P values proposed for LPT and T10 by Maxent, which I noticed were suggested also by previous posts?
Please, please, illuminate me. Thanks a lot.
Maja
Shcheglovitova, M., & Anderson, R. P. (2013). Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes. Ecological Modelling, 269, 9–17. doi:10.1016/j.ecolmodel.2013.08.011
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