Checklist derived from occurrence data published on animalia on GBIF site

Dernière version Publié par Laboratory of Forest Sciences (University of Abomey-Calavi) le Aug 7, 2018 Laboratory of Forest Sciences (University of Abomey-Calavi)

Occurrence data were collected throughout Benin and published on GBIF site. The datasets were then downloaded and the checklist extracted. It therefore cover the whole list of species published up to date on GBIF site

Enregistrements de données

Les données de cette ressource checklist 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 2,921 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées des ressources sont disponibles au 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.

Téléchargements

Téléchargez la dernière version de la ressource en tant qu'Archive Darwin Core (DwC-A), ou les métadonnées de la ressource au format EML ou RTF :

Données sous forme de fichier DwC-A (zip) télécharger 2,921 enregistrements dans Anglais (65 KB) - Fréquence de mise à jour: inconnue
Métadonnées sous forme de fichier EML télécharger dans Anglais (10 KB)
Métadonnées sous forme de fichier RTF télécharger dans Anglais (9 KB)

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:

Ganglo C. J., Gbètoho A. J., Kakpo S. B. 2018. Checklist derived from occurrence data published on Animalia on GBIF site.

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Laboratory of Forest Sciences (University of Abomey-Calavi). This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 7e413e16-cac8-40cd-a7ba-aec020637d28.  Laboratory of Forest Sciences (University of Abomey-Calavi) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF Benin.

Mots-clé

Checklist; animalia; Benin

Contacts

Personne ayant créé cette ressource:

Jean GANGLO
Professor
University of Abomey-Calavi BP 1493 Calavi Bénin 229 Calavi Atlantique BJ +22966363770

Personne pouvant répondre aux questions sur la ressource:

Jean GANGLO
Professor
University of Abomey-Calavi BP 1493 Calavi Bénin 229 Calavi Atlantique BJ +22966363770

Personne ayant renseigné les métadonnées:

Jaures GBETOHO
Assistant
University of Abomey-Calavi BP 1493 Calavi Bénin 229 Calavi Atlantique BJ +22996833454
Sunday Berlioz KAKPO
Research Assistant
University of Abomey-Calavi BP 1493 Calavi Bénin 229 Calavi Atlantique BJ +22997123391

Autres personnes associées à la ressource:

Utilisateur
Jean Ganglo

Couverture géographique

Occurrence data were collected throughout Benin and published on GBIF site. The datasets were then downloaded and the checklist extracted. It therefore cover the whole list of species published up to date on GBIF site

Enveloppe géographique Sud Ouest [6.3, 0.4], Nord Est [12.3, 3.5]

Couverture taxonomique

Pas de description disponible

Kingdom  Animalia (Animaux)

Données sur le projet

Based on a national survey on biodiversity data holders and users across Benin, project researchers discovered that large reserves of biodiversity data form Benin remain unpublished: the National Herbarium (University of Abomey-Calavi, UAC) and the General Direction of Forest and Natural Resource Management (Ministry of Environment) each holds at least 50,000 plant and animal records, and the biodiversity center of IITA – Benin holds more than 200,000 insect specimens. Moreover, owing to colonial-era biodiversity exploration and documentation, even more of the relevant data on Beninese biodiversity resides outside of the country, in largest part in museums and herbaria in France and elsewhere. These resources thus represent an opportunity to dramatically increase the availability of information for the country. This JRS grant award to UAC follows on to a grant awarded in 2011 to the National Biodiversity Institute of Costa Rica (INBio), to provide technical assistance to UAC to establish the digitization equipment, protocols, and data publishing software.

Titre Implementation of the National Biodiversity Information System (NBIS) of Benin
Identifiant http://jrsbiodiversity.org/grants/faculte-des-sciences-agronomiques-uac/
Financement The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Description du domaine d'étude / de recherche The data digitized and published in the framework of this project are gathered throughout the whole country
Description du design The design is detailed according tp the objectives of the project 1. Extend and consolidate partnerships with institutions working in the field of biodiversity in Benin. This objective will be achieved during the first 18 months of the project, including at least 70% of the major institutions, through sensitization on the importance of biodiversity data publication and training of targeted staff members. Where required, the project will provide financial assistance to support data mobilization. 2. Mobilize more plant and animal data. This objective will be achieved during the first 18 months of the project by digitizing and publishing at least 50,000 geo-referenced animal and plant collections (Magnoliophyta, Pteridophyta, vertebrates, key insect groups) of partner institutions. Data mobilization will occur in the framework of GBIF procedures and standards. As a consequence, the NBIS portal will become the ‘go-to’ source of biodiversity information for the country. 3. Mobilize global data for Benin. This objective will be achieved during the first 21 months of the project, but largely within the framework of another project to be submitted. We are building a West African digitization consortium via a formal partnership with researchers and institutions in Ghana, Togo, Nigeria, and Cameroon. Within this consortium, we will develop broad cooperation and collaboration with European and North American museums and herbaria for effective capture, repatriation, cleaning, georeferencing, and sharing of at least 50% of data from ‘frozen’ European and American museum collections regarding Benin (and West Africa more generally). 4. Advance Beninese capacity in biodiversity analyses. This objective will be achieved throughout the project and beyond. My institution has signed an MOU with Kansas University (KU) to enable high-level scientific and technical assistance from the team of Dr Perterson to several universities in Benin. This assistance will help incorporate biodiversity informatics into Masters degree programs in Benin. Beninese students to be trained in the Ph.D. program at KU will be recruited at universities of Benin to carry on biodiversity informatics training and develop detailed case studies relevant to decision-making in biodiversity conservation in Benin.

Les personnes impliquées dans le projet:

Chercheur Principal
Jean GANGLO

Citations bibliographiques

  1. Checklist derived from data downloaded on GBIF site

Métadonnées additionnelles

Identifiants alternatifs 7e413e16-cac8-40cd-a7ba-aec020637d28
http://ipt-benin.gbif.fr/resource?r=animalia_02