Data for: Forecasting shifts in habitat suitability of three marine predators suggests a rapid decline in inter-specific overlap under future climate change ...
Aim: To estimate spatiotemporal changes in habitat suitability and inter-specific overlap among three marine predators: Baltic grey seals (Halichoerus grypus grypus), harbour seals (Phoca vitulina), and harbour porpoises (Phocoena phocoena) under contemporary and future conditions. Location: The sou...
| Main Authors: | , , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2022
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.83bk3j9t8 https://datadryad.org/stash/dataset/doi:10.5061/dryad.83bk3j9t8 |
| Summary: | Aim: To estimate spatiotemporal changes in habitat suitability and inter-specific overlap among three marine predators: Baltic grey seals (Halichoerus grypus grypus), harbour seals (Phoca vitulina), and harbour porpoises (Phocoena phocoena) under contemporary and future conditions. Location: The southwestern region of the Baltic Sea, including the Danish Straits and the Kattegat, one of the fastest-warming semi-enclosed seas in the world. Methods: Location data (>200 tagged individuals) were analysed within the maximum entropy (MaxEnt) algorithm to estimate changes in total area size and overlap of species-specific habitat suitability between 1997-2020 and 2091-2100. A total of eleven candidate predictor variables were considered representing anthropogenic activity, environmental, and climate sensitive oceanographic conditions in the area. Sea surface temperature and salinity data were taken from representative concentration pathways [RCPs] scenarios 6.0 and 8.5 to forecast potential climate change ... : Location data of Baltic grey seals (Halichoerus grypus grypus), harbour seals (Phoca vitulina), and harbour porpoises (Phocoena phocoena) were collected using GPS and ARGOS tags between 1997-2020 in the southwestern region of the Baltic Sea, including the Danish Straits and the Kattegat. A total of eleven candidate predictor variables were generated representing anthropogenic activity, environmental, and climate sensitive oceanographic conditions in the area. Sea surface temperature and salinity data were taken from representative concentration pathways [RCPs] scenarios 6.0 and 8.5 to forecast potential climate change effects. ... |
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