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Enregistrement W4396556258 · doi:10.1111/mms.13134

Foraging behavior and habitat selection of harbor seals (<i>Phoca vitulina vitulina</i>) in the archipelago of <scp>Saint‐Pierre‐and‐Miquelon</scp>, Northwest Atlantic

2024· article· en· W4396556258 sur OpenAlexaboutno aff
Skye Wynn‐Simmonds, Yann Planque, Mathilde Huon, Philip Lovell, Cécile Vincent

Notice bibliographique

RevueMarine Mammal Science · 2024
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMarine animal studies overview
Établissements canadiensnon disponible
Organismes subventionnairesOffice Français de la Biodiversité
Mots-clésPhocaArchipelagoHarbor sealForagingHabitatSelection (genetic algorithm)BiologyEcologyFisherySAINTGeographyZoology

Résumé

récupéré en direct d'OpenAlex

Studying the foraging behavior of marine top predators is crucial for gaining a comprehensive understanding of their role within the ecosystem and improving management plans around their foraging habitat (Pianka, 1976; Stearns, 1992). Harbor seals (Phoca vitulina vitulina) are upper-trophic level predators belonging to the phocid family (Teilmann & Galatius, 2018). They are commonly seen as sedentary remaining in coastal waters, although they can occasionally forage offshore in some study sites (Lesage et al., 2004). Throughout their geographic distribution, they inhabit a wide range of habitats, relying heavily on the availability and distribution of their prey in that specific environment (Bowen & Harrison, 1996). As a result, the harbor seal is often regarded as a generalist species with potentially individualistic foraging behavior. Many studies showed that they are benthic feeders with a diet consisting of a wide variety of prey, including various species of benthic and demersal fish, cephalopods, and crustaceans, but can occasionally forage on pelagic prey (Lesage, 1999; Sharples et al., 2009; Thompson, 1993). In the Northwest Atlantic, harbor seals are generally found in small, isolated groups (Blanchet et al., 2021). They have been documented in the archipelago of Saint-Pierre-and-Miquelon (France) as far back as the 1940s (Templeman, 1957). Despite the absence of prior studies on the foraging behavior of harbor seals in this area, conflicts with recreational fisheries have been noted, and managers have expressed the need to better understand the trophic ecology of these harbor seals. Therefore, this study aimed to characterize the behavior of harbor seals around Saint-Pierre-and-Miquelon by identifying their habitat selection and investigating their foraging behavior at sea (diving behavior and spatio-temporal trends at sea) around the archipelago. Telemetry data were used to study habitat selection, foraging activity rhythm, and foraging behavior of harbor seals located at Saint-Pierre-and-Miquelon. Ten harbor seals (five females and five males) were captured in September 2019 and September 2020, and fitted with Satellite Relay Data Loggers developed by the Sea Mammal Research Unit (University of St Andrews, UK). The location data and detailed information of individuals are accessible on SEANOE (https://www.seanoe.org/data/00799/91059/). The capture method used was detailed in Vincent et al. (2005). The Satellite Relay Data Logger (SRDL) includes a GPS that attempts to obtain a location when at the surface, subject to a minimum interval of 20 min. In addition, the tag features a pressure sensor that enables the recording of the maximum depth, duration, and shape of each dive (<−1.5 m) as well as the time and depth delimiting the descent, bottom, and ascent phases (Photopoulou et al., 2015), and the duration of interdive surface periods. It also includes a wet/dry sensor and a 3-axis accelerometer operating at 25 Hz. The tag preprocesses the accelerometer data to calculate three parameters related to the behavior of the animal at a rate of 1 Hz. Pitch refers to the angle between the anteroposterior axis of the tag/animal and the horizontal plane. To isolate the orientation signal, a 0.2 Hz low-pass filter is applied. Swimming effort is calculated by summing the output of a 0.5–2 Hz filter applied to the lateral axis only. Prey capture attempts (PCA) are identified as peaks in the root-mean-square of triaxial jerk (rmsJerk), measured over an averaging window of 250 ms, as described by Ydesen et al. (2014). Given that the criterion for scoring a dive as a foraging dive is based on the behavior of only one captive seal, there is uncertainty associated with the proportion of dives classified as foraging. Thus, some caution is needed in the interpretation of our results. Potential foraging dives were defined by the detection of at least one PCA. A binary response (foraging/nonforaging) was used, and statistical analysis was performed in R (R Core Team, 2021). We studied the influence of the tide and the diurnal period on the activity rhythm of harbor seals using generalized linear mixed models (GLMMs). The dives were used as the response variable with values of 1 for foraging dives and 0 for nonforaging dives. The tide was treated as a continuous variable; diurnal period was used as a categorical variable with values being “Day” and “Night” (based on local time of dusk and dawn). The “individual” variable was used as a random effect to account for intraindividual autocorrelation and the model was selected using the Akaike information criterion (AIC; Akaike, 1973). The selected model highlighted an influence of the diurnal period on the foraging behavior of harbor seals (Table 1). Most foraging dives were carried out during the night (average 79.8% ± 12.6% of foraging dives; Figure 1a). This pattern is consistent with findings in previous studies, where a significant number of seals have been observed foraging nocturnally (Bjørge, 1995; Lesage et al., 1999; Thompson et al., 1991). On the other hand, the models that included a tidal effect on foraging behavior were less parsimonious (Table 1). The distribution of foraging dives according to the tide remained relatively constant, which is not surprising, since the tidal range is only 1.5–2.4 m (Figure 1b). This finding agrees with behavioral observations by Renouf et al. (1981), who also suggested that there was no tidal effect on the at sea activity of harbor seals in Miquelon (Figure 1b; Table 1). On average, harbor seals spent 88% ± 3% (minimum–maximum: 84%–92%) of their time at sea and 23% ± 6% of dives were considered foraging dives. We studied habitat selection using a pseudo absence method explained in Huon et al. (2021), and then fitted the data using a generalized additive mixed model (GAMM). The spatial data were estimated by interpolating the GPS location data (filtered following McConnell et al., (1992)) for each dive. The foraging dive locations, and the random points, generated using a pseudo absence method, were used as the response variable with values of 1 and 0 respectively. The bathymetry, the distance to the last haul-out and the distance to the shore were used as continuous variables. We calculated the correlation between each variable and found a strong correlation between distance to haul-out sites and distance to the coast (r = 0.94) but only a moderate correlation between distance to haul-out sites and bathymetry (r = 0.55). Hence, we excluded distance to the coast from the models. The model with the smallest AIC value was selected (Table 2). Habitat selection was influenced by the distance to haul-out site and the bathymetry, with an explained deviance of 78.9%. The selected habitat of harbor seals was located between 0 and 100 km from their haul-out sites with 84% of foraging dives located within the first 20 km (Figure 2a). Lesage et al. (1999) also observed that harbor seals select areas close to their haul-out sites. Indeed, harbor seals are considered central place foragers, meaning that they tend to regularly return to their haul-out sites after each foraging trip (Orians & Pearson, 1979). As a result, they predominantly forage in the vicinity of their haul-out sites (Bajzak et al., 2013; Dietz et al., 2013; Huon et al., 2021; Lesage et al., 1999; Thompson et al., 1996). Bathymetry had a negative influence on habitat selection, in other words, habitat selection was highest in shallow waters (87% of foraging dives <100 m; Figure 2b). Previous studies on both sides of the Atlantic have consistently observed that harbor seals primarily forage at a maximum depth of 50 m (Bajzak et al., 2013; Huon et al., 2021; Lesage et al., 2004; Tollit et al., 1998). Around the archipelago, the bathymetry is highly variable, with depths exceeding 100 m at only 1 km from the coast. This may explain the difference of dive depth between this study and previous studies (Huon et al., 2021; Lesage et al., 2004; Tollit et al., 1998). We then looked at the vertical distribution of foraging and nonforaging dives within the water column by using the ratio between maximum dive depth and the bathymetry (Figure 3). It varied between 0 and 1, 0 being close to the surface and 1 being at the seabed. The ratio averaged at 0.9 ± 0.2 for foraging dives versus 0.7 ± 0.4 for nonforaging dives, meaning that seals performed dives with a maximum depth closest to the seabed when foraging (U-shape dives), i.e., benthic foraging dives. Our findings are consistent with previous studies describing harbor seals as benthic feeders, predating on benthic and demersal prey (Lesage, 1999, Hammill et al., 2010) while occasionally feeding on pelagic prey (Sharples et al., 2009; Thompson, 1993). The pitch angle (orientation of the head relative to the horizontal plan) was studied for foraging dives (blue) and nonforaging dives (red) of each seal (Figure 4). This parameter was negative for both categories, which means that the seal was facing downwards, as similarly detected on a previous study on harbor seals in the North Sea (Vance et al., 2021). Hence, seals have their head downwards while foraging, but also when searching for prey. These results are consistent with benthic behavior suggesting that the seals are searching for prey on the seabed (Lesage, 1999; Sharples et al., 2009; Thompson, 1993). In conclusion, this study focused on the foraging behavior of harbor seals at Saint-Pierre-and-Miquelon. Like in the northeast Atlantic, harbor seals in this area are coastal, benthic feeders foraging mainly during nighttime (Bjørge, 1995; Huon et al., 2021; Thompson et al., 1991, 1996). This study represents the first study on the at-sea behavior of harbor seals at Saint-Pierre-and-Miquelon and the first study in 20 years surrounding Newfoundland. Furthermore, this research provides to wildlife managers information regarding the foraging areas and rhythms of harbor seals in this region. We would like to acknowledge the Office Français de la Biodiversité (OFB) and the Direction des territoires, de l'alimentation et de la mer (DTAM) of Saint-Pierre-and-Miquelon for their funding support. We extend our gratitude to the people who participated in the fieldwork, as their valuable input and assistance greatly contributed to the success of this study. We would also like to express our appreciation to the COPEMAM project, jointly coordinated by La Rochelle University and FIU, for providing the framework within which this study was conducted. In particular, we would like to thank Dr. J. Kiszka (FIU) for his significant contribution to the project. Lastly, but not least, we extend our heartfelt thanks to Patrick Wynn-Simmonds, for his meticulous editing. Skye Wynn-Simmonds: Conceptualization; data curation; formal analysis; methodology; writing – original draft. Yann Planque: Supervision; writing – review and editing. Mathilde Huon: Supervision; writing – review and editing. Phil Lovell: Methodology; software; writing – review and editing. Cecile Vincent: Conceptualization; funding acquisition; project administration; supervision; writing – review and editing. The location data and detailed data on individuals presented in this study are publicly accessible. They can be found online on the SEANOE website (https://doi.org/10.17882/91059). Bathymetric data was obtained through Gebco (https://www.gebco.net) at a spatial resolution of 450 m. Tidal information was obtained for the whole study period on an hourly basis through the SHOM (https://www.shom.fr). The diurnal period was also determined using the sunrise and sunset times in Saint-Pierre-and-Miquelon during the monitoring period (https://www.sunrise-and-sunset.com/fr/sun/saint-pierre-et-miquelon/saint-pierre). FIGURE S1. Foraging areas of 10 harbor seals captured and tagged at Saint-Pierre-and-Miquelon between 2019 and 2020. Foraging areas are characterized by the spatial density of foraging dives (kernel density contours at 50%, 75%, and 95%). Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,045
Score d'incertitude au seuil0,987

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,239
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2024
Routes d'admission1
Résumé présentoui

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