Data from: Hierarchical Bayesian model reveals the distributional shifts of Arctic marine mammals ...
Aim: Our aim involved developing a method to analyze spatiotemporal distributions of Arctic marine mammals (AMMs) using heterogeneous open source data, such as scientific papers and open repositories. Another aim was to quantitatively estimate the effects of environmental covariates on AMMs’ distrib...
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| Format: | Dataset |
| Language: | English |
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Dryad
2019
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| Online Access: | https://dx.doi.org/10.5061/dryad.22c867m https://datadryad.org/stash/dataset/doi:10.5061/dryad.22c867m |
| Summary: | Aim: Our aim involved developing a method to analyze spatiotemporal distributions of Arctic marine mammals (AMMs) using heterogeneous open source data, such as scientific papers and open repositories. Another aim was to quantitatively estimate the effects of environmental covariates on AMMs’ distributions and to analyze whether their distributions have shifted along with environmental changes. Location: Arctic shelf area. The Kara Sea. Methods: Our literature search focused on survey data regarding polar bears (Ursus maritimus), Atlantic walruses (Odobenus rosmarus rosmarus) and ringed seals (Phoca hispida). We mapped the data on a grid and built a hierarchical Poisson point process model to analyze species’ densities. The heterogeneous data lacked information on survey intensity and we could model only the relative density of each species. We explained relative densities with environmental covariates and random effects reflecting excess spatiotemporal variation and the unknown, varying sampling effort. The ... : Raster layers and species observations from the Kara SeaThis folder contains all raster layers and species observations that were used for model calibration and predictions in our study.GIS_species_data.zip ... |
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