The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems
ICAWA : International Conference AWA, Lanzarote, ESP, 17-/04/2018 - 20/04/2018 The interest of modelling the effect of oceanographic factors on micronektonic acoustic densities and its variability is relevant in the context of climate change to better understand the environmental processes controlli...
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Language: | English |
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HAL CCSD
2018
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Online Access: | https://hal.science/hal-02779649 |
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ftinsu:oai:HAL:hal-02779649v1 |
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record_format |
openpolar |
institution |
Open Polar |
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Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
AFRIQUE DE L'OUEST SENEGAL GUINEE ATLANTIQUE [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDE.MCG]Environmental Sciences/Global Changes [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
AFRIQUE DE L'OUEST SENEGAL GUINEE ATLANTIQUE [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDE.MCG]Environmental Sciences/Global Changes [SDE.BE]Environmental Sciences/Biodiversity and Ecology Brehmer, Patrice Demarcq, Hervé Mouget, Anne Migayrou, Chloé Charouki, N. Koné, V. Uanivi, U. Sarré, Abdoulaye Jeyid, M.A. Kouassi, A.M. Perrot, Yannick Behagle, Nolwenn Krakstad, J.O. Diallo, I. Diogoul, Ndague The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems |
topic_facet |
AFRIQUE DE L'OUEST SENEGAL GUINEE ATLANTIQUE [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDE.MCG]Environmental Sciences/Global Changes [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
ICAWA : International Conference AWA, Lanzarote, ESP, 17-/04/2018 - 20/04/2018 The interest of modelling the effect of oceanographic factors on micronektonic acoustic densities and its variability is relevant in the context of climate change to better understand the environmental processes controlling ecosystem productivity. Ultimately for the stakeholders, we plan to forecast changes induced by climate change effects and study inter annual variability. Satellite data have been processed using the same time steps as the time series of fisheries acoustic surveys carried out by the R/V Dr. Fridtjof Nansen along the Atlantic African coasts, overlapping three Large Marine Ecosystems. The observed split at Cape Blanc (21°N) separates the coastal upwelling into a strong and stable dynamic upwelling, and a highly seasonal one. Because of the highly non-linear nature of the relationships the BRT modelling accounts for a considerably higher part of the environmental variability, compared to classic multivariate approaches. Environmental data are extracted from daily series of AVHRR (SST), MODIS (SST and Chl-a) and others at spatial resolution between 4 and 25 km. Boosted Regression Tree classification is well suited to show the importance of the large scale environmental variability, despite a limited set of variables. It is interesting to note that the inter-annual variability is not significant in the model, showing that the underlying environmental forcing is associated with relatively stable processes. The structural variables, i.e., bathymetry and distance to the coast, consistently explain a large part of the variability. SST has a minor influence in the north (consistently cold and windy) and a pronounced effect in the south where seasonality is high and variable. Especially in Senegal and Guinea, the detrimental effects of the coastal upwelling (mostly offshore drifts due to strong winds) are strongly attenuated by the wider continental shelf which favour retention processes. The next step will be to couple our ... |
author2 |
Institut de Recherche pour le Développement (IRD) Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) MARine Biodiversity Exploitation and Conservation (UMR MARBEC) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) Centre de Recherches Océanologiques Abidjan (CRO) Institut Sénégalais de Recherches Agricoles Dakar (ISRA) Institute of Marine Research Bergen (IMR) University of Bergen (UiB) Université Cheikh Anta Diop de Dakar Sénégal (UCAD) Brehmer, Patrice |
format |
Conference Object |
author |
Brehmer, Patrice Demarcq, Hervé Mouget, Anne Migayrou, Chloé Charouki, N. Koné, V. Uanivi, U. Sarré, Abdoulaye Jeyid, M.A. Kouassi, A.M. Perrot, Yannick Behagle, Nolwenn Krakstad, J.O. Diallo, I. Diogoul, Ndague |
author_facet |
Brehmer, Patrice Demarcq, Hervé Mouget, Anne Migayrou, Chloé Charouki, N. Koné, V. Uanivi, U. Sarré, Abdoulaye Jeyid, M.A. Kouassi, A.M. Perrot, Yannick Behagle, Nolwenn Krakstad, J.O. Diallo, I. Diogoul, Ndague |
author_sort |
Brehmer, Patrice |
title |
The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems |
title_short |
The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems |
title_full |
The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems |
title_fullStr |
The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems |
title_full_unstemmed |
The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems |
title_sort |
effect of oceanographic factors on micronektonic acoustic density in the three african atlantic large marine ecosystems |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal.science/hal-02779649 |
op_coverage |
Lanzarote, Spain |
long_lat |
ENVELOPE(-56.717,-56.717,-63.567,-63.567) |
geographic |
Fridtjof |
geographic_facet |
Fridtjof |
genre |
Fridtjof Nansen |
genre_facet |
Fridtjof Nansen |
op_source |
ICAWA : International Conference AWA https://hal.science/hal-02779649 Brehmer, Patrice. ICAWA : International Conference AWA, Apr 2018, Lanzarote, Spain. SRFC/CSRP; IRD, pp.137-138, 2019 |
op_relation |
hal-02779649 https://hal.science/hal-02779649 IRD: fdi:010078272 |
_version_ |
1790600249915473920 |
spelling |
ftinsu:oai:HAL:hal-02779649v1 2024-02-11T10:03:54+01:00 The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems Brehmer, Patrice Demarcq, Hervé Mouget, Anne Migayrou, Chloé Charouki, N. Koné, V. Uanivi, U. Sarré, Abdoulaye Jeyid, M.A. Kouassi, A.M. Perrot, Yannick Behagle, Nolwenn Krakstad, J.O. Diallo, I. Diogoul, Ndague Institut de Recherche pour le Développement (IRD) Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) MARine Biodiversity Exploitation and Conservation (UMR MARBEC) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) Centre de Recherches Océanologiques Abidjan (CRO) Institut Sénégalais de Recherches Agricoles Dakar (ISRA) Institute of Marine Research Bergen (IMR) University of Bergen (UiB) Université Cheikh Anta Diop de Dakar Sénégal (UCAD) Brehmer, Patrice Lanzarote, Spain 2018-04-17 https://hal.science/hal-02779649 en eng HAL CCSD SRFC/CSRP IRD hal-02779649 https://hal.science/hal-02779649 IRD: fdi:010078272 ICAWA : International Conference AWA https://hal.science/hal-02779649 Brehmer, Patrice. ICAWA : International Conference AWA, Apr 2018, Lanzarote, Spain. SRFC/CSRP; IRD, pp.137-138, 2019 AFRIQUE DE L'OUEST SENEGAL GUINEE ATLANTIQUE [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDE.MCG]Environmental Sciences/Global Changes [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/conferenceObject Conference poster 2018 ftinsu 2024-01-24T17:33:52Z ICAWA : International Conference AWA, Lanzarote, ESP, 17-/04/2018 - 20/04/2018 The interest of modelling the effect of oceanographic factors on micronektonic acoustic densities and its variability is relevant in the context of climate change to better understand the environmental processes controlling ecosystem productivity. Ultimately for the stakeholders, we plan to forecast changes induced by climate change effects and study inter annual variability. Satellite data have been processed using the same time steps as the time series of fisheries acoustic surveys carried out by the R/V Dr. Fridtjof Nansen along the Atlantic African coasts, overlapping three Large Marine Ecosystems. The observed split at Cape Blanc (21°N) separates the coastal upwelling into a strong and stable dynamic upwelling, and a highly seasonal one. Because of the highly non-linear nature of the relationships the BRT modelling accounts for a considerably higher part of the environmental variability, compared to classic multivariate approaches. Environmental data are extracted from daily series of AVHRR (SST), MODIS (SST and Chl-a) and others at spatial resolution between 4 and 25 km. Boosted Regression Tree classification is well suited to show the importance of the large scale environmental variability, despite a limited set of variables. It is interesting to note that the inter-annual variability is not significant in the model, showing that the underlying environmental forcing is associated with relatively stable processes. The structural variables, i.e., bathymetry and distance to the coast, consistently explain a large part of the variability. SST has a minor influence in the north (consistently cold and windy) and a pronounced effect in the south where seasonality is high and variable. Especially in Senegal and Guinea, the detrimental effects of the coastal upwelling (mostly offshore drifts due to strong winds) are strongly attenuated by the wider continental shelf which favour retention processes. The next step will be to couple our ... Conference Object Fridtjof Nansen Institut national des sciences de l'Univers: HAL-INSU Fridtjof ENVELOPE(-56.717,-56.717,-63.567,-63.567) |