Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach
1. Spatial management of marine ecosystems requires detailed knowledge of spatio-temporal mechanisms linking physical and biological processes. Tidal currents, the main driver of ecosystem dynamics in temperate coastal ecosystems, influence predator foraging ecology by affecting prey distribution an...
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ftnerc:oai:nora.nerc.ac.uk:19324 2023-05-15T15:44:58+02:00 Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach Embling, Clare B. Illian, Janine Armstrong, Eric van der Kooij, Jeroen Sharples, Jonathan Camphuysen, Kees C.J. Scott, Beth E. 2012 http://nora.nerc.ac.uk/id/eprint/19324/ https://doi.org/10.1111/j.1365-2664.2012.02114.x unknown Embling, Clare B.; Illian, Janine; Armstrong, Eric; van der Kooij, Jeroen; Sharples, Jonathan; Camphuysen, Kees C.J.; Scott, Beth E. 2012 Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach. Journal of Applied Ecology, 49 (2). 481-492. https://doi.org/10.1111/j.1365-2664.2012.02114.x <https://doi.org/10.1111/j.1365-2664.2012.02114.x> Marine Sciences Publication - Article PeerReviewed 2012 ftnerc https://doi.org/10.1111/j.1365-2664.2012.02114.x 2023-02-04T19:32:13Z 1. Spatial management of marine ecosystems requires detailed knowledge of spatio-temporal mechanisms linking physical and biological processes. Tidal currents, the main driver of ecosystem dynamics in temperate coastal ecosystems, influence predator foraging ecology by affecting prey distribution and ecology. The mechanistic links between tidal currents and how they influence predator–prey behaviour and interactions at a fine scale are poorly understood. 2. Studies of fine-scale changes in oceanography, prey and predator behaviour with tidal currents require repeated surveys of the same location over brief time-scales. Such data are highly temporally and spatially autocorrelated and require appropriate analytical tools. 3. We used functional data analysis (FDA), specifically functional principal component analysis (FPCA), to analyse repeated, fine-scale, survey data collected in the North Sea. FPCA was used to explore the relationship between the behaviour of an important North Sea prey species (sandeel Ammodytes spp.) and a vulnerable surface-foraging predator (black-legged kittiwake Rissa tridactyla) with fine-scale tidally driven changes in bio-physical characteristics (temperature stratification and maximumsubsurface chlorophyll concentration). 4. The FPCA indicated that sandeels were aggregated close to the surface at maximum ebb (ME) currents. Surface-feeding kittiwakes were also found in highest numbers during ME in locations of both high subsurface chlorophyll concentration and shallow sandeel aggregations. We suggest that the combination of a well-stratified water column with the movement of tidal currents over uneven topography results in surface aggregations of sandeels which kittiwakes exploit. 5. Synthesis and applications. Functional Data Analysis provides a useful tool for examining spatio-temporal patterns in natural ecosystems. In combination with fine-scale repeated survey design, we identified the importance of tide in driving prey behaviour and hence predator foraging behaviour. This has ... Article in Journal/Newspaper Black-legged Kittiwake rissa tridactyla Natural Environment Research Council: NERC Open Research Archive Journal of Applied Ecology 49 2 481 492 |
institution |
Open Polar |
collection |
Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
unknown |
topic |
Marine Sciences |
spellingShingle |
Marine Sciences Embling, Clare B. Illian, Janine Armstrong, Eric van der Kooij, Jeroen Sharples, Jonathan Camphuysen, Kees C.J. Scott, Beth E. Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach |
topic_facet |
Marine Sciences |
description |
1. Spatial management of marine ecosystems requires detailed knowledge of spatio-temporal mechanisms linking physical and biological processes. Tidal currents, the main driver of ecosystem dynamics in temperate coastal ecosystems, influence predator foraging ecology by affecting prey distribution and ecology. The mechanistic links between tidal currents and how they influence predator–prey behaviour and interactions at a fine scale are poorly understood. 2. Studies of fine-scale changes in oceanography, prey and predator behaviour with tidal currents require repeated surveys of the same location over brief time-scales. Such data are highly temporally and spatially autocorrelated and require appropriate analytical tools. 3. We used functional data analysis (FDA), specifically functional principal component analysis (FPCA), to analyse repeated, fine-scale, survey data collected in the North Sea. FPCA was used to explore the relationship between the behaviour of an important North Sea prey species (sandeel Ammodytes spp.) and a vulnerable surface-foraging predator (black-legged kittiwake Rissa tridactyla) with fine-scale tidally driven changes in bio-physical characteristics (temperature stratification and maximumsubsurface chlorophyll concentration). 4. The FPCA indicated that sandeels were aggregated close to the surface at maximum ebb (ME) currents. Surface-feeding kittiwakes were also found in highest numbers during ME in locations of both high subsurface chlorophyll concentration and shallow sandeel aggregations. We suggest that the combination of a well-stratified water column with the movement of tidal currents over uneven topography results in surface aggregations of sandeels which kittiwakes exploit. 5. Synthesis and applications. Functional Data Analysis provides a useful tool for examining spatio-temporal patterns in natural ecosystems. In combination with fine-scale repeated survey design, we identified the importance of tide in driving prey behaviour and hence predator foraging behaviour. This has ... |
format |
Article in Journal/Newspaper |
author |
Embling, Clare B. Illian, Janine Armstrong, Eric van der Kooij, Jeroen Sharples, Jonathan Camphuysen, Kees C.J. Scott, Beth E. |
author_facet |
Embling, Clare B. Illian, Janine Armstrong, Eric van der Kooij, Jeroen Sharples, Jonathan Camphuysen, Kees C.J. Scott, Beth E. |
author_sort |
Embling, Clare B. |
title |
Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach |
title_short |
Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach |
title_full |
Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach |
title_fullStr |
Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach |
title_full_unstemmed |
Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach |
title_sort |
investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach |
publishDate |
2012 |
url |
http://nora.nerc.ac.uk/id/eprint/19324/ https://doi.org/10.1111/j.1365-2664.2012.02114.x |
genre |
Black-legged Kittiwake rissa tridactyla |
genre_facet |
Black-legged Kittiwake rissa tridactyla |
op_relation |
Embling, Clare B.; Illian, Janine; Armstrong, Eric; van der Kooij, Jeroen; Sharples, Jonathan; Camphuysen, Kees C.J.; Scott, Beth E. 2012 Investigating fine-scale spatio-temporal predator-prey patterns in dynamic marine ecosystems: a functional data analysis approach. Journal of Applied Ecology, 49 (2). 481-492. https://doi.org/10.1111/j.1365-2664.2012.02114.x <https://doi.org/10.1111/j.1365-2664.2012.02114.x> |
op_doi |
https://doi.org/10.1111/j.1365-2664.2012.02114.x |
container_title |
Journal of Applied Ecology |
container_volume |
49 |
container_issue |
2 |
container_start_page |
481 |
op_container_end_page |
492 |
_version_ |
1766379323493711872 |