Hello everyone. I have a query regarding the matter above. Uncertainties in the results (e.g. MAXENT modeling) caused by heterogeneity of environmental factors could be simply addressed by dividing the area to the smaller grids, each grid containing a source of variation (e.g. various types of topography features) and then continue the sampling to the each of the grids. This could reduce uncertainties associated with heterogeneity in environmental factors.
However, the question is: what are the other problems associated with heterogeneity either in 1- detection probability or the 2- environmental factors?
Thanks.
Some environmental variables may show heterogeneity (for plants rather than animals) at fine spatial resolutions (10 m - 100 m), including soil and vegetation. Climate, terrain and human impact usually operate at coarser resolutions.
For some of these issues please refer to my articles on Majella NP, on endemic plants and bear.
Attach function is off since the lay-out of RG
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