Blessing and curse of bioclimatic variables: A comparison of different calculation schemes and datasets for species distribution modeling within the extended …
C Merkenschlager, F Bangelesa, H Paeth… - Ecology and …, 2023 - Wiley Online Library
Bioclimatic variables (BCVs) are the most widely used predictors within the field of species
distribution modeling, but recent studies imply that BCVs alone are not sufficient to describe
these limits. Unfortunately, the most popular database, WorldClim, offers only a limited
selection of bioclimatological predictors; thus, other climatological datasets should be
considered, and, for data consistency, the BCVs should also be derived from the respective
datasets. Here, we investigate how well the BCVs are represented by different datasets for …
distribution modeling, but recent studies imply that BCVs alone are not sufficient to describe
these limits. Unfortunately, the most popular database, WorldClim, offers only a limited
selection of bioclimatological predictors; thus, other climatological datasets should be
considered, and, for data consistency, the BCVs should also be derived from the respective
datasets. Here, we investigate how well the BCVs are represented by different datasets for …
Blessing and curse of BioClim variables: A comparison of different calculation schemes and datasets for species distribution modeling within the extended …
Bioclimatic variables (BCVs) are the most widely used predictors within the field of
ecological niche modeling. However, recent studies indicate that BCVs alone are not
sufficient to describe these limits and more (bio) climatological variables should be
considered. Unfortunately, the most popular database WorldClim offers only a limited
selection of predictors; thus, other gridded station-based observations or reanalysis (GSOR)
datasets should be taken into account. In the present study, we investigate how well the …
ecological niche modeling. However, recent studies indicate that BCVs alone are not
sufficient to describe these limits and more (bio) climatological variables should be
considered. Unfortunately, the most popular database WorldClim offers only a limited
selection of predictors; thus, other gridded station-based observations or reanalysis (GSOR)
datasets should be taken into account. In the present study, we investigate how well the …
