Description
Database collected as part of the Lorraine Coché master's 2 internship "Inventory and structuring of marine mammal observation data around Guadeloupe" in 2020 (Master Tropical marine ecosystems at the University of the Antilles). This database centralizes and harmonizes the data collected by the team of the Agoa Sanctuary (Aire Marine Protégée), the OMMAG (Observatory of Marine Mammals of the Guadeloupe Archipelago), the NPO BREACH, and whale-watching companies Cétacés Caraïbes, Guadeloupe Evasion Découverte et Aventures Marines. This work was carried out within the framework of the OHM Littoral Caraïbe and (co)funded by the LabEx DRIIHM, French programme “Investissements d’Avenir" (ANR-11-LABX-0010) which is managed by the ANR, and the Fondation de France (“The future of the coastal and sea worlds” project N° 1940).
Enregistrements de données
Les données de cette ressource données d'échantillonnage ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 3 248 enregistrements.
2 tableurs de données d'extension existent également. Un enregistrement d'extension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre d'enregistrements dans chaque tableur de données d'extension est illustré ci-dessous.
Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.
Versions
Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.
Comment citer
Les chercheurs doivent citer cette ressource comme suit:
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Droits
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L’éditeur et détenteur des droits de cette ressource est GBIF France. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.
Enregistrement GBIF
Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : f5368978-a1b4-4c9d-8abc-f786f8a64bdb. GBIF France publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF France.
Mots-clé
Biodiversity; Marine mammals; Geographical distribution; Species distribution; Sea regions; Ecological stocktaking; Natural area; Landscape; Ecosystems; Animal ecology; Samplingevent
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Couverture géographique
AGOA Sanctuary
| Enveloppe géographique | Sud Ouest [15,727, -62,05], Nord Est [16,697, -60,66] |
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Couverture taxonomique
Pas de description disponible
| Order | Cetacea |
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| Family | Balaenopteridae, Delphinidae, Kogiidae, Physeteridae, Ziphiidae |
| Species | Balaenoptera acutorostrata, Balaenoptera borealis, Balaenoptera edeni, Balaenoptera physalus, Megaptera novaeangliae, Feresa attenuata, Globicephala macrorhynchus, Grampus griseus, Lagenodelphis hosei, Orcinus orca, Peponocephala electra, Pseudorca crassidens, Stenalla coeruleoalba, Stenella attenuata, Stenella clymene, Stenella frontalis, Stenella longirostris, Steno bredanensis, Tursiops truncatus, Kogia breviceps, Kogia sima, Physeter macrocephalus, Mesoplodon densirostris, Mesoplodon europeaus, Mesoplodon mirus, Ziphius cavirostris |
Couverture temporelle
| Date de début / Date de fin | 2000-12-01 / 2019-12-31 |
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Données sur le projet
Pas de description disponible
| Titre | TRAFIC |
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| Financement | Fondation de France "The future of the coastal and sea worlds" (project N° 1940) LabEx DRIIHM French program “Investissements d’Avenir” (ANR-11-LABX-0010) SO-DRIIHM project (ANR-19-DATA-0022) |
Les personnes impliquées dans le projet:
Méthodes d'échantillonnage
Sampling consisted first in conducting a preliminary survey of the different associations and professional whale-watchers know to collate cetacean observation data for years aroud the Guadeloupean Archipelago, and whose expertise was previously recognized (e.g. by co-authorship of scientific publications, by the defense of a PhD (Gandhillon 2012) and by the publication of books for the general public. We got in touch with several of these different associations and whale-watchers, to obtain their collaboration and agreement to share their own data in a more global aggregated database using newly designed dataset. Following this first survey, an authorization of use and analysis of the data was sent to each organisation. All agreed to share and open data once the agregated database woud be finalized. The observations were all collected during boat excursions: marine mammals were spotted and identified at a greater or lesser distance from the boat depending mainly on the visibility and the sea state. Geolocation coordinates were also generally collected thanks to a GPS. The observation data were collected in French language. Each collector had its own tabulated file for entering observations with no central data store and access interface. But all these datasets possesed many variables are in common.
| Etendue de l'étude | Sampling Area And Frequency: The data collected were produced by seven different stackeholders. First, two non profit organisations (NPOs) collated marine mammal observations during daily trips regularly made over years by volunteers: OMMAG (Observatoire des Mammifères Marins de l’Archipel Guadeloupéen or Observatory of marine mammals of the Guadeloupe archipelago), and BREACH Antilles, whose observations where part of the dataset analyzed by Nadège Gandhillon. The older data are been recorded in 2000. Second, several professional wale-watchers recorded all the observations made during their daily tours. These wale-watchers are Guadeloupe Evasion Découverte (located in Deshaie), Cétacés Caraïbes (located in Bouillante) and Aventures Marines (located in Gourbeyre). They all gave us a free access to their entire datasets. We also used publicily available data coming from observation campains conducted by the IFAW (International Fund for Animal Welfare) in 1995, 1996, 200 and 2006. |
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| Contrôle qualité | The observation data come from multiple sources with varying levels of expertise. A specific level of expertise was assigned to each observer (ie. beginner, intermediate, confirmed levels) in order to attest to the quality of his observation. More globally, an effort to centralize and harmonize siloed data has been made with quality controls checking links between tables with pivot tables. Content quality controls were also used such as a controlled dropdown menu for many fields that avoid potential input errors. Geolocations, often transformed into decimal degrees, were verified using the Geographic Information System QGIS 3.10 Desktop (long term release) software. The structure of the Kakila database was based on the existence of variables common to all datasets and on the functional dependencies between the data. First, variables were defined with the help of a working group constituted by the scientific team who coordinated the project. This new list of variable was approved by the data providers. Then a data dictionnary was defined. The aim of this dictionnary was to produce a precise definition or description of each of the fields, based on validated scientific frameworks. The data dictionary is essential to guarantee the reusability of the database. For example, in the case of future data entry by different operators, the data dictionary ensures the perfect understanding of fields and limits input errors. In addition, data were checked for errors: 10% of the entries were randomly selected and checked by two persons. One person carried out the random draw among the “observation” table and the other operator checked the selected lines in the database against the original datasets provided by the data owners. The data entry was invalidated if it contained an error in any field. The error rate was calculated as follow : it was the rate of the number of data entries containing an error on the total number of checked data entries and was estimated at 0.073 in the Kakila database. |
Description des étapes de la méthode:
- Citizen-science approach. Data integration made into a database complying with the FAIR principles using a step-by-step community approach and a pragmatic method taking into account the constraints of the stakeholders. Observation collected over several years by local NPOs or whale watchers have been integrated in a database named "Kakila".
Citations bibliographiques
- Lorraine Coché, Elie Arnaud, Laurent Bouveret, Romain David, Eric Foulquier, Nadège Gandilhon, Etienne Jeannesson, Yvan Le Bras, Emilie Lerigoleur, Pascal Jean Lopez, Bénédicte Madon, Julien Sananikone, Maxime Sèbe, Iwan Le Berre, & Jean-Luc Jung. (2021). Kakila database: Towards a FAIR community approved database of cetacean presence in the waters of the Guadeloupe Archipelago, based on citizen science. Biodiversity Data Journal. Vol. 9. doi:10.3897/BDJ.9.e69022 https://doi.org/10.3897/BDJ.9.e69022
Métadonnées additionnelles
| Identifiants alternatifs | f5368978-a1b4-4c9d-8abc-f786f8a64bdb |
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| https://ipt-uat.gbif.fr/resource?r=kakila_event |