Estimating trans-seasonal variability in water column biomass for a highly migratory, deep diving predator.
Identifieur interne : 003619 ( PubMed/Checkpoint ); précédent : 003618; suivant : 003620Estimating trans-seasonal variability in water column biomass for a highly migratory, deep diving predator.
Auteurs : Malcolm D. O'Toole [Australie] ; Mary-Anne Lea [Australie] ; Christophe Guinet [France] ; Mark A. Hindell [Australie]Source :
- PloS one [ 1932-6203 ] ; 2014.
Descripteurs français
- KwdFr :
- Analyse spatio-temporelle, Animaux, Applications mobiles, Carnivorisme (physiologie), Chaine alimentaire, Chlorophylle (biosynthèse), Comportement prédateur (physiologie), Eau de mer (), Eau de mer (analyse), Femelle, Lumière, Migration animale (physiologie), Phoques (physiologie), Phytoplancton (croissance et développement), Plongée (physiologie), Saisons, Température, Écosystème.
- MESH :
- analyse : Eau de mer.
- biosynthèse : Chlorophylle.
- croissance et développement : Phytoplancton.
- physiologie : Carnivorisme, Comportement prédateur, Migration animale, Phoques, Plongée.
- Analyse spatio-temporelle, Animaux, Applications mobiles, Chaine alimentaire, Eau de mer, Femelle, Lumière, Saisons, Température, Écosystème.
English descriptors
- KwdEn :
- Animal Migration (physiology), Animals, Carnivory (physiology), Chlorophyll (biosynthesis), Diving (physiology), Ecosystem, Female, Food Chain, Light, Mobile Applications, Phytoplankton (growth & development), Predatory Behavior (physiology), Seals, Earless (physiology), Seasons, Seawater (analysis), Seawater (chemistry), Spatio-Temporal Analysis, Temperature.
- MESH :
- chemical , biosynthesis : Chlorophyll.
- analysis : Seawater.
- chemistry : Seawater.
- growth & development : Phytoplankton.
- physiology : Animal Migration, Carnivory, Diving, Predatory Behavior, Seals, Earless.
- Animals, Ecosystem, Female, Food Chain, Light, Mobile Applications, Seasons, Spatio-Temporal Analysis, Temperature.
Abstract
The deployment of animal-borne electronic tags is revolutionizing our understanding of how pelagic species respond to their environment by providing in situ oceanographic information such as temperature, salinity, and light measurements. These tags, deployed on pelagic animals, provide data that can be used to study the ecological context of their foraging behaviour and surrounding environment. Satellite-derived measures of ocean colour reveal temporal and spatial variability of surface chlorophyll-a (a useful proxy for phytoplankton distribution). However, this information can be patchy in space and time resulting in poor correspondence with marine animal behaviour. Alternatively, light data collected by animal-borne tag sensors can be used to estimate chlorophyll-a distribution. Here, we use light level and depth data to generate a phytoplankton index that matches daily seal movements. Time-depth-light recorders (TDLRs) were deployed on 89 southern elephant seals (Mirounga leonina) over a period of 6 years (1999-2005). TDLR data were used to calculate integrated light attenuation of the top 250 m of the water column (LA(250)), which provided an index of phytoplankton density at the daily scale that was concurrent with the movement and behaviour of seals throughout their entire foraging trip. These index values were consistent with typical seasonal chl-a patterns as measured from 8-daySea-viewing Wide Field-of-view Sensor (SeaWiFs) images. The availability of data recorded by the TDLRs was far greater than concurrent remotely sensed chl-a at higher latitudes and during winter months. Improving the spatial and temporal availability of phytoplankton information concurrent with animal behaviour has ecological implications for understanding the movement of deep diving predators in relation to lower trophic levels in the Southern Ocean. Light attenuation profiles recorded by animal-borne electronic tags can be used more broadly and routinely to estimate lower trophic distribution at sea in relation to deep diving predator foraging behaviour.
DOI: 10.1371/journal.pone.0113171
PubMed: 25427104
Affiliations:
Links toward previous steps (curation, corpus...)
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pubmed:25427104Le document en format XML
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<front><div type="abstract" xml:lang="en">The deployment of animal-borne electronic tags is revolutionizing our understanding of how pelagic species respond to their environment by providing in situ oceanographic information such as temperature, salinity, and light measurements. These tags, deployed on pelagic animals, provide data that can be used to study the ecological context of their foraging behaviour and surrounding environment. Satellite-derived measures of ocean colour reveal temporal and spatial variability of surface chlorophyll-a (a useful proxy for phytoplankton distribution). However, this information can be patchy in space and time resulting in poor correspondence with marine animal behaviour. Alternatively, light data collected by animal-borne tag sensors can be used to estimate chlorophyll-a distribution. Here, we use light level and depth data to generate a phytoplankton index that matches daily seal movements. Time-depth-light recorders (TDLRs) were deployed on 89 southern elephant seals (Mirounga leonina) over a period of 6 years (1999-2005). TDLR data were used to calculate integrated light attenuation of the top 250 m of the water column (LA(250)), which provided an index of phytoplankton density at the daily scale that was concurrent with the movement and behaviour of seals throughout their entire foraging trip. These index values were consistent with typical seasonal chl-a patterns as measured from 8-daySea-viewing Wide Field-of-view Sensor (SeaWiFs) images. The availability of data recorded by the TDLRs was far greater than concurrent remotely sensed chl-a at higher latitudes and during winter months. Improving the spatial and temporal availability of phytoplankton information concurrent with animal behaviour has ecological implications for understanding the movement of deep diving predators in relation to lower trophic levels in the Southern Ocean. Light attenuation profiles recorded by animal-borne electronic tags can be used more broadly and routinely to estimate lower trophic distribution at sea in relation to deep diving predator foraging behaviour.</div>
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<name sortKey="Hindell, Mark A" sort="Hindell, Mark A" uniqKey="Hindell M" first="Mark A" last="Hindell">Mark A. Hindell</name>
<name sortKey="Lea, Mary Anne" sort="Lea, Mary Anne" uniqKey="Lea M" first="Mary-Anne" last="Lea">Mary-Anne Lea</name>
</country>
<country name="France"><noRegion><name sortKey="Guinet, Christophe" sort="Guinet, Christophe" uniqKey="Guinet C" first="Christophe" last="Guinet">Christophe Guinet</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
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