seanoe:86805 Lambert Charlotte CNRS - La Rochelle Université, UAR 3462, Observatoire Pelagis, F-17000 La Rochelle, France CNRS - La Rochelle Université, UMR 7372, Centre d’Etudes Biologiques de Chizé, F-79360 Villiers-en-bois, France 2024-01-02 ISO 19115:2003/19139 1.0 Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution 2022 2024-01-02 Lambert Charlotte, Authier Matthieu, Blanchard Ariane, Dorémus Ghislain, Laran Sophie, Van Canneyt Olivier, Spitz Jérôme (2022). Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution. SEANOE. https://doi.org/10.17882/86805 In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication : Lambert C., Authier M., Blanchard A., Dorémus G., Laran S., Van Canneyt O., Spitz J. (2022). Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution. Royal Society Open Science, 9(11). https://doi.org/10.1098/rsos.220379 Cetaceans adjust their distribution and abundance to encountered conditions across years and seasons, but we poorly understand such small-scale changes for many species, especially in winter. Crucial challenges yet weight on some populations during this season, such as the high levels of fisheries-induced mortality faced by the common dolphin (Delphinus delphis) in the North-East Atlantic shelves. For such species, comprehend the winter fine-scale dynamics is crucial. We aimed at identifying the dolphin distribution drivers within the winters 2020 and 2021, with a focus on determining the lag between changes in oceanographic conditions and in dolphin distribution. They were related with temporal delays specific to the nature and the cascading effects oceanographic processes had on the trophic chain. By determining the most important conditions and lags to dolphin distributions, we shed light on the yet poorly understood intrusions of dolphins within coastal waters during winter: they displayed a strong preference for the coastal-shelf waters front and extensively followed its spatial variations, their overall densities increasing over the period and peaking in March-April. The results presented here provided invaluable information on the winter distribution dynamics and should inform management decisions to help reducing the unsustainable mortalities of this species in fisheries by-catch. This work was funded by the Office Français de la Biodiversité - Parc naturel marin de l'estuaire de la Gironde et de la mer des Pertuis (Gironde Estuary and Pertuis Sea Marine Nature Park; https://plan-gestion.parc-marin-gironde-pertuis.fr/) and the Région Nouvelle Aquitaine (contract AFB/2018/369 and contract OFB/20/0634), with support from the French Ministry in charge of the Environment. Lambert Charlotte CNRS - La Rochelle Université, UAR 3462, Observatoire Pelagis, F-17000 La Rochelle, France CNRS - La Rochelle Université, UMR 7372, Centre d’Etudes Biologiques de Chizé, F-79360 Villiers-en-bois, France Authier Matthieu CNRS - La Rochelle Université, UAR 3462, Observatoire Pelagis, F-17000 La Rochelle, France Blanchard Ariane CNRS - La Rochelle Université, UAR 3462, Observatoire Pelagis, F-17000 La Rochelle, France Dorémus Ghislain CNRS - La Rochelle Université, UAR 3462, Observatoire Pelagis, F-17000 La Rochelle, France Laran Sophie CNRS - La Rochelle Université, UAR 3462, Observatoire Pelagis, F-17000 La Rochelle, France Van Canneyt Olivier CNRS - La Rochelle Université, UAR 3462, Observatoire Pelagis, F-17000 La Rochelle, France Spitz Jérôme CNRS - La Rochelle Université, UAR 3462, Observatoire Pelagis, F-17000 La Rochelle, France CNRS - La Rochelle Université, UMR 7372, Centre d’Etudes Biologiques de Chizé, F-79360 Villiers-en-bois, France SEANOE https://www.seanoe.org/data/00756/86805/illustration.gif Common dolphin in the Bay of Biscay Common dolphins Bay of Biscay Winter Simulation Temporal lag Dynamic species distribution modelling Biological oceanography Marine turtles, birds, mammals ODATIS aggregation parameters and Essential Variable names 2024-09-16 geonetwork.thesaurus.external.theme.NVS.OD1 Biological oceanography SeaDataNet Parameter Disciplines 2021-04-07 geonetwork.thesaurus.external.parameter.NVS.P08 /Observational data/in-situ Type de jeux de donnée ODATIS 2024-10-15 geonetwork.thesaurus.local.theme.type_jeux_donnee CC-BY-NC-SA (Creative Commons - Attribution, No commercial usage, Sharing under the same conditions) This work is based on three aerial surveys conducted in the Bay of Biscay in the winters 2020 and 2021: SPEE, CAPECET and SAMM II surveys, conducted by Observatoire Pelagis UAR 3462 CNRS-LRUniv. Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution 2022 The Royal Society Lambert C. Authier M. Blanchard A. Dorémus G. Laran S. Van Canneyt O. Spitz J. 10.1098/rsos.220379 oceans 0.0 -5.0 44.0 48.0 2020-01-01 2021-04-15 ZIP ARCHIVE https://www.seanoe.org/data/00756/86805/data/92280.zip WWW:DOWNLOAD-1.0-link--download Processed data Archive file containing data and codes for the analyses described in Lambert et al. 2022 RSOS - 158 MB https://doi.org/10.17882/86805 WWW:LINK-1.0-http--metadata-URL DOI of the product https://www.seanoe.org/data/00756/86805/ rel-canonical Seanoe Archive of analysis code used in Lambert et al. 2022 Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution, RSOS. This repository contains all data and codes necessary to replicate the analyses and results presented in the paper. It is organised as follows: - functions: the folder contains all the functions necessary for running the R scripts. - data:  Map files: land and isobath files used in the codes Surveys files: there is two files for each surveys, one for the effort (5km-long segments) and one for the observations Variables: raster stacks of all environmental conditions considered and used in the analyses. - scripts : the folder contains the nine scripts to run all the analyses described in the paper. Titles are self-explanatory. - scripts results: this folder is empty for now, but is to be populated when running the codes.