MODELLING DISTRIBUTIONS OF RARE MARINE SPECIES: THE DEEP-DIVING CETACEANS
Deep-diving cetaceans, sperm- and beaked whales Physeteridae, Kogiidae and Ziphiidae, arerare marine species. Due to their low densities, wide distribution ranges and limited presence at the watersurface, visual surveys usually result in low sighting rates. This paucity of data challenges the modell...
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ftinstagro:oai:HAL:tel-02265299v1 2024-04-28T08:30:25+00:00 MODELLING DISTRIBUTIONS OF RARE MARINE SPECIES: THE DEEP-DIVING CETACEANS MODELISER LES DISTRIBUTIONS DES ESPECES MARINES RARES : LES CETACES GRANDS PLONGEURS Virgili, Auriane AGROCAMPUS OUEST Université de La Rochelle Vincent Ridoux Pascal Monestiez 2018-01-11 https://hal.science/tel-02265299 https://hal.science/tel-02265299/document https://hal.science/tel-02265299/file/Virgili_Auriane.pdf en eng HAL CCSD tel-02265299 https://hal.science/tel-02265299 https://hal.science/tel-02265299/document https://hal.science/tel-02265299/file/Virgili_Auriane.pdf info:eu-repo/semantics/OpenAccess https://hal.science/tel-02265299 Environmental Sciences. Université de La Rochelle, 2018. English. ⟨NNT : ⟩ Rare species habitat modelling deep-diving cetaceans beaked whales sperm whales kogiids North Atlantic Ocean Mediterranean Sea Espèces rares modélisation d’habitat cétacés grands plongeurs baleines à bec cachalots kogiidés océan Atlantique Nord mer Méditerranée [SDE]Environmental Sciences info:eu-repo/semantics/doctoralThesis Theses 2018 ftinstagro 2024-04-03T19:45:49Z Deep-diving cetaceans, sperm- and beaked whales Physeteridae, Kogiidae and Ziphiidae, arerare marine species. Due to their low densities, wide distribution ranges and limited presence at the watersurface, visual surveys usually result in low sighting rates. This paucity of data challenges the modelling oftheir habitat, prerequisite for their conservation. Models have to cope with a great number of zeros thatweakens the ability to make sound ecological inferences. Consequently, this thesis aimed at finding amethodology suitable for datasets with a large number of zeros, determining how environmental variablesinfluence deep-diver distributions and predicting areas preferentially used by these species. By testing thepredictive performance of various habitat models fitted to decreasing numbers of sightings, I selected themost suitable model and determined that at least 50 sightings were needed to provide reliable predictions.However, individual surveys can rarely provide sufficient deep-diver sightings thus I merged many visualsurvey datasets to produce the first basin-wide deep-diver density maps in the North Atlantic Ocean andthe Mediterranean Sea. Highest densities were predicted in waters from 1500-4000 m deep and close tothermal fronts; hotspots were predicted along the continental slopes, particularly in the western NorthAtlantic Ocean. In addition, a model transferability analysis highlighted that habitat drivers selected by themodels varied between contrasted large ecosystems. Finally, I discussed challenges related to statisticalmodelling applied to rare species and the management applications of this thesis. Les cétacés grands plongeurs, cachalots Physeteridae et Kogiidae et baleines à bec Zipiidae, sontdes espèces marines rares. Leur faible densité, aire de distribution étendue et faible disponibilité ensurface génèrent de faibles taux d’observations. Cette particularité constitue un défi pour la modélisationd’habitat de ces espèces, préalable à leur conservation. Les modèles doivent gérer l’abondance ... Doctoral or Postdoctoral Thesis North Atlantic Portail HAL Institut Agro |
institution |
Open Polar |
collection |
Portail HAL Institut Agro |
op_collection_id |
ftinstagro |
language |
English |
topic |
Rare species habitat modelling deep-diving cetaceans beaked whales sperm whales kogiids North Atlantic Ocean Mediterranean Sea Espèces rares modélisation d’habitat cétacés grands plongeurs baleines à bec cachalots kogiidés océan Atlantique Nord mer Méditerranée [SDE]Environmental Sciences |
spellingShingle |
Rare species habitat modelling deep-diving cetaceans beaked whales sperm whales kogiids North Atlantic Ocean Mediterranean Sea Espèces rares modélisation d’habitat cétacés grands plongeurs baleines à bec cachalots kogiidés océan Atlantique Nord mer Méditerranée [SDE]Environmental Sciences Virgili, Auriane MODELLING DISTRIBUTIONS OF RARE MARINE SPECIES: THE DEEP-DIVING CETACEANS |
topic_facet |
Rare species habitat modelling deep-diving cetaceans beaked whales sperm whales kogiids North Atlantic Ocean Mediterranean Sea Espèces rares modélisation d’habitat cétacés grands plongeurs baleines à bec cachalots kogiidés océan Atlantique Nord mer Méditerranée [SDE]Environmental Sciences |
description |
Deep-diving cetaceans, sperm- and beaked whales Physeteridae, Kogiidae and Ziphiidae, arerare marine species. Due to their low densities, wide distribution ranges and limited presence at the watersurface, visual surveys usually result in low sighting rates. This paucity of data challenges the modelling oftheir habitat, prerequisite for their conservation. Models have to cope with a great number of zeros thatweakens the ability to make sound ecological inferences. Consequently, this thesis aimed at finding amethodology suitable for datasets with a large number of zeros, determining how environmental variablesinfluence deep-diver distributions and predicting areas preferentially used by these species. By testing thepredictive performance of various habitat models fitted to decreasing numbers of sightings, I selected themost suitable model and determined that at least 50 sightings were needed to provide reliable predictions.However, individual surveys can rarely provide sufficient deep-diver sightings thus I merged many visualsurvey datasets to produce the first basin-wide deep-diver density maps in the North Atlantic Ocean andthe Mediterranean Sea. Highest densities were predicted in waters from 1500-4000 m deep and close tothermal fronts; hotspots were predicted along the continental slopes, particularly in the western NorthAtlantic Ocean. In addition, a model transferability analysis highlighted that habitat drivers selected by themodels varied between contrasted large ecosystems. Finally, I discussed challenges related to statisticalmodelling applied to rare species and the management applications of this thesis. Les cétacés grands plongeurs, cachalots Physeteridae et Kogiidae et baleines à bec Zipiidae, sontdes espèces marines rares. Leur faible densité, aire de distribution étendue et faible disponibilité ensurface génèrent de faibles taux d’observations. Cette particularité constitue un défi pour la modélisationd’habitat de ces espèces, préalable à leur conservation. Les modèles doivent gérer l’abondance ... |
author2 |
AGROCAMPUS OUEST Université de La Rochelle Vincent Ridoux Pascal Monestiez |
format |
Doctoral or Postdoctoral Thesis |
author |
Virgili, Auriane |
author_facet |
Virgili, Auriane |
author_sort |
Virgili, Auriane |
title |
MODELLING DISTRIBUTIONS OF RARE MARINE SPECIES: THE DEEP-DIVING CETACEANS |
title_short |
MODELLING DISTRIBUTIONS OF RARE MARINE SPECIES: THE DEEP-DIVING CETACEANS |
title_full |
MODELLING DISTRIBUTIONS OF RARE MARINE SPECIES: THE DEEP-DIVING CETACEANS |
title_fullStr |
MODELLING DISTRIBUTIONS OF RARE MARINE SPECIES: THE DEEP-DIVING CETACEANS |
title_full_unstemmed |
MODELLING DISTRIBUTIONS OF RARE MARINE SPECIES: THE DEEP-DIVING CETACEANS |
title_sort |
modelling distributions of rare marine species: the deep-diving cetaceans |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal.science/tel-02265299 https://hal.science/tel-02265299/document https://hal.science/tel-02265299/file/Virgili_Auriane.pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
https://hal.science/tel-02265299 Environmental Sciences. Université de La Rochelle, 2018. English. ⟨NNT : ⟩ |
op_relation |
tel-02265299 https://hal.science/tel-02265299 https://hal.science/tel-02265299/document https://hal.science/tel-02265299/file/Virgili_Auriane.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1797588293878022144 |