Modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ...
Biophysical interactions are influential in determining the scale of key ecological processes within marine ecosystems. For oceanic predators, this means foraging behaviour is influenced by processes shaping the distribution of prey. However, oceanic prey is difficult to observe and its abundance an...
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ftdatacite:10.5061/dryad.vhhmgqnqn 2024-06-09T07:45:41+00:00 Modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ... Green, David Bestley, Sophie Trebilco, Rowan Corney, Stuart Lehodey, Patrick McMahon, Clive Guinet, C. Hindell, Mark A. 2020 https://dx.doi.org/10.5061/dryad.vhhmgqnqn https://datadryad.org/stash/dataset/doi:10.5061/dryad.vhhmgqnqn en eng Dryad https://dx.doi.org/10.1111/ecog.04939 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Predators prey interaction Kerguelen plateau Ecosystem modelling Micronekton Southern Indian Ocean Southern elephant seal Ecology, Evolution, Behavior and Systematics Dataset dataset 2020 ftdatacite https://doi.org/10.5061/dryad.vhhmgqnqn10.1111/ecog.04939 2024-05-13T11:09:38Z Biophysical interactions are influential in determining the scale of key ecological processes within marine ecosystems. For oceanic predators, this means foraging behaviour is influenced by processes shaping the distribution of prey. However, oceanic prey is difficult to observe and its abundance and distribution is regionally generalised. We use a spatiotemporally resolved simulation model to describe mid-trophic prey distribution within the Southern Ocean and demonstrate insights that this modelled prey field provides into the foraging behaviour of a widely distributed marine predator, the southern elephant seal. From a five-year simulation of prey biomass, we computed climatologies of mean prey biomass (average prey conditions) and prey biomass variability (meso-scale variability). We also compiled spatially gridded metrics of seal density and diving behaviour from 13 years of tracking data. We statistically modelled these metrics as non-linear functions of prey biomass (both mean and variability) and ... : Basin- and meso-scale metrics of prey distribution Our study domain was the region south of 40 degrees (corresponding roughly to south of the Subtropical Front (STF)), where most elephant seal at-sea activity occurs. Within the Indian sector, female elephant seals dive to depths of, on average, 540 ± 178 m during the day and 402 ± 182 m at night (McMahon et al. 2019), which falls within the upper and lower mesopelagic depth bands (Fig. 1) (Proud et al. 2017, Trebilco et al. 2019). Therefore, we regarded the available prey field as including all those functional groups that are resident in or migrate through the both mesopelagic depth zones (Fig. 1): i.e. both migrant (2.2) and non-migrant upper mesopelagic (2.1) as well as the highly migrant (3.1) and migrant (3.2) and non-migrant (3.3) lower mesopelagic layers. Daily biomass of available prey (hereafter referred to as the available prey field) was then calculated by summing across these groups, and used to build spatial climatologies of prey distribution. ... Dataset Elephant Seal Elephant Seals Southern Elephant Seal Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Indian Kerguelen McMahon ENVELOPE(65.148,65.148,-70.835,-70.835) Southern Ocean |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Predators prey interaction Kerguelen plateau Ecosystem modelling Micronekton Southern Indian Ocean Southern elephant seal Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Predators prey interaction Kerguelen plateau Ecosystem modelling Micronekton Southern Indian Ocean Southern elephant seal Ecology, Evolution, Behavior and Systematics Green, David Bestley, Sophie Trebilco, Rowan Corney, Stuart Lehodey, Patrick McMahon, Clive Guinet, C. Hindell, Mark A. Modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ... |
topic_facet |
Predators prey interaction Kerguelen plateau Ecosystem modelling Micronekton Southern Indian Ocean Southern elephant seal Ecology, Evolution, Behavior and Systematics |
description |
Biophysical interactions are influential in determining the scale of key ecological processes within marine ecosystems. For oceanic predators, this means foraging behaviour is influenced by processes shaping the distribution of prey. However, oceanic prey is difficult to observe and its abundance and distribution is regionally generalised. We use a spatiotemporally resolved simulation model to describe mid-trophic prey distribution within the Southern Ocean and demonstrate insights that this modelled prey field provides into the foraging behaviour of a widely distributed marine predator, the southern elephant seal. From a five-year simulation of prey biomass, we computed climatologies of mean prey biomass (average prey conditions) and prey biomass variability (meso-scale variability). We also compiled spatially gridded metrics of seal density and diving behaviour from 13 years of tracking data. We statistically modelled these metrics as non-linear functions of prey biomass (both mean and variability) and ... : Basin- and meso-scale metrics of prey distribution Our study domain was the region south of 40 degrees (corresponding roughly to south of the Subtropical Front (STF)), where most elephant seal at-sea activity occurs. Within the Indian sector, female elephant seals dive to depths of, on average, 540 ± 178 m during the day and 402 ± 182 m at night (McMahon et al. 2019), which falls within the upper and lower mesopelagic depth bands (Fig. 1) (Proud et al. 2017, Trebilco et al. 2019). Therefore, we regarded the available prey field as including all those functional groups that are resident in or migrate through the both mesopelagic depth zones (Fig. 1): i.e. both migrant (2.2) and non-migrant upper mesopelagic (2.1) as well as the highly migrant (3.1) and migrant (3.2) and non-migrant (3.3) lower mesopelagic layers. Daily biomass of available prey (hereafter referred to as the available prey field) was then calculated by summing across these groups, and used to build spatial climatologies of prey distribution. ... |
format |
Dataset |
author |
Green, David Bestley, Sophie Trebilco, Rowan Corney, Stuart Lehodey, Patrick McMahon, Clive Guinet, C. Hindell, Mark A. |
author_facet |
Green, David Bestley, Sophie Trebilco, Rowan Corney, Stuart Lehodey, Patrick McMahon, Clive Guinet, C. Hindell, Mark A. |
author_sort |
Green, David |
title |
Modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ... |
title_short |
Modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ... |
title_full |
Modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ... |
title_fullStr |
Modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ... |
title_full_unstemmed |
Modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ... |
title_sort |
modelled mid‐trophic pelagic prey fields improve understanding of marine predator foraging behaviour ... |
publisher |
Dryad |
publishDate |
2020 |
url |
https://dx.doi.org/10.5061/dryad.vhhmgqnqn https://datadryad.org/stash/dataset/doi:10.5061/dryad.vhhmgqnqn |
long_lat |
ENVELOPE(65.148,65.148,-70.835,-70.835) |
geographic |
Indian Kerguelen McMahon Southern Ocean |
geographic_facet |
Indian Kerguelen McMahon Southern Ocean |
genre |
Elephant Seal Elephant Seals Southern Elephant Seal Southern Ocean |
genre_facet |
Elephant Seal Elephant Seals Southern Elephant Seal Southern Ocean |
op_relation |
https://dx.doi.org/10.1111/ecog.04939 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.vhhmgqnqn10.1111/ecog.04939 |
_version_ |
1801375166689705984 |