For my Masters project I have been creating SDMs using MAXENT, and the next stage involves using future climate projections in the 'projection layers directory' to see potential future distributions. I have seen the use of clamping suggested in other questions and so have tried using it, but I am unsure how to interpret the variety of asc files. My species is the hazel dormouse and the future climate scenario is based off of the ssp 126 (hence the 126 in the file names). The key files I have are:
1) muscardinus_avellanarius.asc - this is the suitability model for the current conditions based off the normal environmental layers.
2) muscardinus_avellanarius_126.asc
3) muscardinus_avellanarius_126_clamping.asc
4) muscardinus_avellanarius_126_novel.asc
5) muscardinus_avellanarius_126_novel_limiting.asc
I have assumed that 2) is similar to 1) just based off where the dormouse is likely to occur under the new climate conditions, but I have been unable to find guidance on exactly what files 3-5 represent and how to best interpret and use them. If I wanted to use a layer which uses clamping when modelling the potential distribution, which do I use, is it 3)?
Hi, the paper you should read is
Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ. 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions 17: 43–57.
It that paper there are some important points regarding to your question, for example, a vague explanation about what clampling is:
"MaxEnt already provides mapped information on the effect of model ‘‘clamping’’ – i.e., the process by which features are constrained to remain within the range of values in the training data. This identifies locations where predictions are uncertain because of the method of extrapolation, by showing where clamping substantially affects the predicted value"
I am not an expert on this, but clamping I believe that it is way to "extrapolate" the response of your species to those areas which are not represented in your climate of callibration. My recommendation is to turn off both, "clamping" and "extrapolate", as you can't know how your species could response to novel conditions.
There are other very important things you could take into account to improve your model ...
Perhaps Marlon E. Cobos or Angela Patricia Cuervo-Robayo can help you. Also you could write to a specialized as the group of facebook https://www.facebook.com/groups/245646162181621
Hi, I think the best thing to do is to explore the implications of distinct forms of extrapolation in your results. That will help to decide which way works better for you and how to interpret your results and the effect of the extrapolation you pick.
An example of exploring distinct types of extrapolation can be found in this video from minute 40.
https://www.youtube.com/watch?v=dn4-G_-MXu8&t=8s
Check the online ENM Course 2020 lead by Andrew Townsend Peterson. I am sure you will find valuable information in the talks and question and answer sessions in which Maxent is mentioned:
https://www.researchgate.net/project/ENM-2020-Online-Course-in-Ecological-Niche-Modeling
https://www.facebook.com/groups/ENM2020
https://www.youtube.com/user/rosaytown/videos
Hi, I critically recommend to read the following paper https://www.karger.com/Article/FullText/342696
Then, you can use BIOCLIM variables adopted from the WorldClim global climate database (http://www.worldclim.org/bioclim)
to start your work.
Besides Maxent, you can use some useful R packages (e.g., raster, dismo, etc) as well as Species Distribution Modeling software (DIVA-GIS).
You can use this paper:
Article Kuenm: An R package for detailed development of ecological n...
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