Hi,
I would carry out a research about the effects of climate change on one of the endemic bird species using combing correlative models and STSM to reduce the uncertainty of predictions. As I have browsed on the published works about making relationship between species distribution models (SDMs) and STSMs I just found two articles (Miller at al., 2015 and Creutzburg et al., 2015) considered this topic. Although Miller's methods for combing species distribution model into STSM is quite clear and easy to implement due to their species of interest that belongs to plant species, Creutzburg’s analyzing was dependent on integrating SDM into dynamic global vegetation model. As I recognized from documents running DGVM is tough task and need more time with advanced computers. So I am really interested in know how could we able to integrate an animal (not plant) distribution model into STSM without considering DGVM modeling?
I am eagerly looking forward to hearing your advice and suggestions. Thanks in advance for considering this matter.
Best regards,
Nader
I am not sure if the helps, but there are a number of R functions used to evaluate SDM's written by Bob Muscarella in an R Package.
Hope this helps
https://cran.r-project.org/web/packages/ENMeval/index.html
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