I am proposing that a hierarchical approach is used where coarse resolution variables are used to run a maxent SDM and delineate a presence/absence map for my species (tropical conifer tree species). After which, the higher-resolution variables derived from the LiDAR data used to generate models within these areas. Can anyone foresee potential problems with this approach? or have any better ideas?
Ahmed Bahjat Can you please elaborate on this?
I just realized its not to clear, the 1 km resolution variables which I indent on adding to the models are the 19 bioclimatic variables from Worldclim
Dear Joshua,
I understand your approach and to me it is not necessary wrong but I still wonder why don't you run just the high resolution (2m) SDMs.
Would these result in high probability also outside the 'range' identified by your coarse SDMs?
Best wishes
Pietro
Dear Joshua,
here you can find my favourite example of a hierarchical approach: Article Invasive species distribution models—How violating the equil...
Hope it helps!
Mirko
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