Data from: Environmental heterogeneity amplifies behavioural response to a temporal cycle ...
Resource acquisition is integral to maximise fitness, however in many ecosystems this requires adaptation to resource abundance and distributions that seldom stay constant. For predators, prey availability can vary at fine spatial and temporal scales as a result of changes in the physical environmen...
| Main Authors: | , , , , , , |
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| Format: | Dataset |
| Language: | English |
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Dryad
2018
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.1447866 https://datadryad.org/stash/dataset/doi:10.5061/dryad.1447866 |
| Summary: | Resource acquisition is integral to maximise fitness, however in many ecosystems this requires adaptation to resource abundance and distributions that seldom stay constant. For predators, prey availability can vary at fine spatial and temporal scales as a result of changes in the physical environment, and therefore selection should favour individuals that can adapt their foraging behaviour accordingly. The tidal cycle is a short, yet predictable, temporal cycle, which can influence prey availability at temporal scales relevant to movement decisions. Here, we ask whether black-legged kittiwakes (Rissa tridactyla) can adjust their foraging habitat selection according to the tidal cycle using GPS tracking studies at three sites of differing environmental heterogeneity. We used a hidden Markov model to classify kittiwake behaviour, and analysed habitat selection during foraging. As expected for a central-place forager, we found that kittiwakes preferred to forage nearer to the breeding colony. However, we also ... : Kittiwake locations for habitat selectionData comprises of used locations from GPS tracking, and 10 available locations for each used locations selected randomly from within foraging range of kittiwakes in R statistical software, as detailed in Oikos manuscript. Here we give all GPS locations, however analyses in paper were subset to foraging only points based on state defined by HMM model. See README file for column details.Data_Kit_HS.csv ... |
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