Data

Data from: Hierarchical influences of prey distribution on patterns of prey capture by a marine predator

Macquarie University
Benjamin J. Pitcher (Aggregated by) David Slip (Aggregated by) Gemma Carroll (Aggregated by) Ian Jonsen (Aggregated by) Martin Cox (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5061/dryad.pf150&rft.title=Data from: Hierarchical influences of prey distribution on patterns of prey capture by a marine predator&rft.identifier=10.5061/dryad.pf150&rft.publisher=Macquarie University&rft.description=1. Prey distribution acts at multiple spatial scales to influence foraging success by predators. The overall distribution of prey may shape foraging ranges, the distance between patches may influence the ability of predators to detect and move between profitable areas, and individual patch characteristics may affect prey capture efficiency.2. In this study, we assessed relationship between spatially-explicit patterns of prey capture by a central place forager, the little penguin (using GPS tracking and accelerometry), and the distribution of aggregations of potential forage fish prey (using boat-based active acoustics) in eastern Australia. We used complementary resource selection functions to estimate the distribution of both prey captures and aggregations across the study area, based on a suite of habitat characteristics.3. We found that 99 % of prey captures by penguins occurred in the top 20 m of the water column. The estimated distribution of prey captures across the study area was similar to the distribution of aggregations above 20 m depth, indicating that penguins effectively matched the local distribution of their prey.4. The distances between consecutive prey captures followed a bimodal distribution, with means of 8.1 ± 2.2 m and 57.4 ± 1.7 m. Based on the length of aggregations and the distances separating aggregations along survey transects, this implies that foraging behaviour occurs on multiple spatial scales corresponding to within-patch and between-patch movements respectively.5. Morphological characteristics of aggregations above 20 m depth were important for explaining variance in the number of prey caught by penguins in an area, with penguins catching more prey where aggregations were relatively dense, compact and shallow.6. These results reveal spatially explicit patterns of prey capture, and provide a framework for understanding how features of prey distribution influence prey intake by predators in patchy environments.Usage NotesallPengLocsWk1GPS locations for penguins tracked from Montague Island, October 2015allAccelWk1Accelerometry data for penguins tracked in September/October 2015 from Montague Island, NSW, AustraliaaggregationsCharacteristics of potential forage fish aggregations detected around Montague Island, Australia in Sep/Oct 2016. Aggregations were identified from EK80 70KHz acoustic data using Echoview's 'schools detection' algorithm.svyTransect line coordinates with continuous seabed depth recordingsctdfWk1CTD data corresponding to acoustic survey around Montague Island, Sep/Oct 2016&rft.creator=Benjamin J. Pitcher&rft.creator=David Slip&rft.creator=Gemma Carroll&rft.creator=Ian Jonsen&rft.creator=Martin Cox&rft.creator=Robert Harcourt&rft.date=2022&rft_rights= https://creativecommons.org/publicdomain/zero/1.0/&rft_subject=Other education not elsewhere classified&rft_subject=foraging ecology&rft_subject=prey encounter&rft_subject=Eudyptula minor&rft_subject=predator-prey dynamics&rft_subject=accelerometry&rft_subject=marine predator&rft_subject=acoustic survey&rft.type=dataset&rft.language=English Access the data

Full description

1. Prey distribution acts at multiple spatial scales to influence foraging success by predators. The overall distribution of prey may shape foraging ranges, the distance between patches may influence the ability of predators to detect and move between profitable areas, and individual patch characteristics may affect prey capture efficiency.
2. In this study, we assessed relationship between spatially-explicit patterns of prey capture by a central place forager, the little penguin (using GPS tracking and accelerometry), and the distribution of aggregations of potential forage fish prey (using boat-based active acoustics) in eastern Australia. We used complementary resource selection functions to estimate the distribution of both prey captures and aggregations across the study area, based on a suite of habitat characteristics.
3. We found that 99 % of prey captures by penguins occurred in the top 20 m of the water column. The estimated distribution of prey captures across the study area was similar to the distribution of aggregations above 20 m depth, indicating that penguins effectively matched the local distribution of their prey.
4. The distances between consecutive prey captures followed a bimodal distribution, with means of 8.1 ± 2.2 m and 57.4 ± 1.7 m. Based on the length of aggregations and the distances separating aggregations along survey transects, this implies that foraging behaviour occurs on multiple spatial scales corresponding to within-patch and between-patch movements respectively.
5. Morphological characteristics of aggregations above 20 m depth were important for explaining variance in the number of prey caught by penguins in an area, with penguins catching more prey where aggregations were relatively dense, compact and shallow.
6. These results reveal spatially explicit patterns of prey capture, and provide a framework for understanding how features of prey distribution influence prey intake by predators in patchy environments.

Usage Notes


allPengLocsWk1GPS locations for penguins tracked from Montague Island, October 2015allAccelWk1Accelerometry data for penguins tracked in September/October 2015 from Montague Island, NSW, AustraliaaggregationsCharacteristics of potential forage fish aggregations detected around Montague Island, Australia in Sep/Oct 2016. Aggregations were identified from EK80 70KHz acoustic data using Echoview's 'schools detection' algorithm.svyTransect line coordinates with continuous seabed depth recordingsctdfWk1CTD data corresponding to acoustic survey around Montague Island, Sep/Oct 2016

Issued: 10 06 2022

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