Diversity and distribution of multipurpose species in Benin
Dernière version Publié par Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC) le 28 mars 2020 Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC)

This occurrence dataset presents the distribution of multipurpose plant species censused from South to Centre Benin, mainly in the forest of Monts Kouffets, the game ranching of Savalou and in the quarries of Abomey-Calavi.

GBIF DwC-A Fichier EML RTF Versions Droits Citer ceci
Enregistrements de données

Les données de cette ressource occurrence 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 10 138 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 10 138 enregistrements dans Français (269 kB) - Fréquence de mise à jour: inconnue
Métadonnées sous forme de fichier EML télécharger dans Anglais (13 kB)
Métadonnées sous forme de fichier RTF télécharger dans Anglais (12 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:

Essou F (2020): Diversity and distribution of multipurpose species in Benin. v1.0. Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC). Dataset/Occurrence. http://ipt.gbifbenin.org/resource?r=essou_2&v=1.0

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC). 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 : 72ae38f9-e9d0-4da6-bd29-cb76e41e5bcb.  Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF Benin.

Mots-clé

Occurrence; Observation; Multipurpose species

Contacts

Personne ayant créé cette ressource:

Fiacre Essou
Assistant
Laboratoire d'Ecologie Applquée
Abomey-Calavi
Atlantic
BJ

Personne pouvant répondre aux questions sur la ressource:

Fiacre Essou
Assistant
Laboratoire d'Ecologie Applquée
Abomey-Calavi
Atlantic
BJ

Personne ayant renseigné les métadonnées:

Fiacre Essou
Assistant
Laboratoire d'Ecologie Applquée
Abomey-Calavi
Atlantic
BJ

Autres personnes associées à la ressource:

Publicateur
Jaurès Gbetoho
Assistant
Laboratoire des Sciences Forestières
Abomey-Calavi
Atlantique
Couverture géographique

South and Centre Benin

Enveloppe géographique Sud Ouest [6,293, 0,703], Nord Est [12,469, 3,867]
Couverture taxonomique

Pas de description disponible

Kingdom  Plantae
Couverture temporelle
Date de début / Date de fin 2000-01-01 / 2019-12-31
Données sur le projet

Through key objectives, this project is designed to overcome the challenge of lack of capacities in Africa: Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program: At least 20 Beninese students and 10 students of other nationalities will be yearly recruited and fully capacitated in the program (Months 4, 16, 28 and beyond the project) (Output 1). The courses will be recorded and shared worldwide (Outcome 4). Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals): Through workshops, at least, each year, 50 other GBIF Benin partners will be trained in relevant topics of biodiversity informatics (Months 6, 12, 18, 24, 30, 34 and beyond) (Output 5) Objective 3: Fill data gaps in priority thematic areas of Benin and other countries involved in the project: Trained students will achieve data gaps analysis in priority thematic areas (Months 12 – 36 and beyond) (Output 6) and contribute to fill data gaps (Months 12 – 36 and beyond) (Output 7). Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation: Trained students will use data to address needs of information (Months 12 – 36 and beyond) (Output 8) and largely disseminate the results via multimedia (Months 12 – 36 and beyond) (Output 9). Project Objective 5: Enhance staff development: We will provide internship opportunities to strengthen capacities of national trainers and most brilliant students to enable them to sustainably carry on the training of students in the program

Titre Regional graduate course for capacity development in biodiversity informatics in Africa
Identifiant http://jrsbiodiversity.org/jrs-supports-capacity-development-uac-oxford-2018/ ; http://jrsbiodiversity.org/grants/uac-2018/
Financement The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Description du domaine d'étude / de recherche Actually in Benin, we estimate that there are 400 – 600 working biodiversity information scientists in public and private agencies. With few exceptions, the situation is not much different in the rest of African countries. Those biodiversity information scientists usually base their decisions - of biodiversity conservation - on floristic and faunistic compositions of ecosystems and related communities as well as on ecology, ethology and habitat characteristics of different species. This approach becomes limiting to conserve efficiently and sustainably biodiversity in the actual threatening context of climate and global changes exacerbated by diverse pressures on biodiversity. To overcome that limitation, we rather need a critical mass of scientists with sound knowledge in biodiversity informatics to achieve relevant results on spatial distributions, ecological niches… of species and different biota to inform decisions on priority areas of biodiversity. In order to develop a trained cohort to meet national needs, we believe that Benin needs to train at least an additional 20 master students. Additionally, training each year at least 10 other masters and advanced students from different African countries, will result in progressive but efficient creation of homes of biodiversity informatics to enhance biodiversity conservation and sustainable uses throughout Africa.
Description du design The work plan of the project is presented per objective: Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program We will recruit students every year (Activity 1) at least 20 Beninese students and 10 students of other nationalities (Months 4, 16, 28 and beyond) (Output 1).Students will be fully trained in relevant topics of biodiversity informatics by national and international experts (Months 1-36 and beyond) (Activity 2) so that, after two years of training, at least 80% of students successfully graduate (Months 18, 30 and beyond) (Output 2). The courses will be recorded and shared (Months 1-36) (Activity 3) to enable worldwide use and reuse (Outcome 3). Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals) Here, we will enhance, through one Professional Skills Workshop per year, capacity buildings to other GBIF Benin partners (Months 6, 18, 30and beyond) (Activity 4) by training yearly, at least 50 of them in relevant topics of biodiversity informatics (Output 4). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). Objective 3: Whenever deemed relevant, identify and fill data gaps in priority thematic areas of Benin and other countries involved in the project Whenever relevant, trained students will achieve data gaps analysis (Months 12 – 36 and beyond) (Activity 5) in at least 3 priority thematic areas of their respective countries (Months 12 – 36 and beyond) (Output 5); they will then collect and publish data (Months 12 – 36 and beyond) (Activity 6) to fill the gaps identified (Months 12 – 36 and beyond) (Output 5). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation To attain that objective, trained students will use data (Months 12 – 36 and beyond) (Activity 7) to address needs of information (species, biota spatial distributions and niche models…) to support biodiversity conservation (Months 12 – 36 and beyond) (Output 7). We will then, through Communication and Outreach Workshops (1 per year), achieve communication and outreach (Months 12 – 36 and beyond) (Activity 8) to largely disseminate the products developed, in government agencies, NGOs, universities, private sectors… (Months 12 – 36 and beyond) (Output 8). Therefore, detailed and data products developed will be promoted in decision making (Outcome 5). Objective 5: Enhance staff development Here, we will provide internship opportunities to national trainers and most brilliant students to strengthen their capacities so that they can reliably carry on the training of students (Months 1 – 36 and beyond) (Activity 9) to sustain in the program (Outcome 7)

Les personnes impliquées dans le projet:

Publicateur
Jean Cossi GANGLO
Méthodes d'échantillonnage

The sampling scheme was given in the column Samplingdescription of the dataset. Rectangular plots of 1000 square meters or circular plots of 18 m radius were randomly set

Etendue de l'étude Data were collected in classified forest and pastures from South to North Benin

Description des étapes de la méthode:

  1. After data collection and identification of species, the records have been digitized into a database and published after formatting and cleaning processes.
Métadonnées additionnelles