Author: Sunday B Kakpo
Keywords: Occurrence, medicinal, energy plants, Benin

Study of medicinal and energy plants from Benin				

Alban G. ZOSSOU-AKETE^1, Augustin OROU MATILO^2, Sunday Berlioz KAKPO^3, Kourouma KOURA^4, Jean Cossi GANGLO^5

1 Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC), +229, Abomey-Calavi, Benin; 2 Centre d’Etudes, de Recherches et de Formation forestières, +229, Cotonou, Benin; 3 Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC), O4bp1005, +229, Cotonou, Benin; 4 Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC), O4 BP 0004, +229, Cotonou, Benin; 5 Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC), BP 1493 Calavi, +229, Abomey-Calavi, Benin

Corresponding author(s): Alban G. ZOSSOU-AKETE (albangandonou@gmail.com), Augustin OROU MATILO (matilorou@yahoo.fr)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Resource Citation

Zossou-Akete, G.A., Orou Matilo T.B.A., Ange KOTIN, DOSSA, H.,  ADEKAMBI, G., SOUROU, A., DJOTAN, 2019. The project of studies on medicinal and energy plants of Dassa, Ouèssè, Savè, Glazoué, Tchaourou, Zagnanado in Benin (West Africa). University of Abomey-Calavi (UAC), Faculty of Agronomics Sciences (FSA), Forest Sciences Laboratory (FSL), Benin (West Africa).					

Abstract

List of species recorded during studies on medicinal and energy plants in Benin				

Keywords: Occurrence, medicinal, energy plants, Benin

Project details

Project title: Regional graduate course for capacity development in biodiversity informatics in Africa
Personnel: Jean Cossi  GANGLO
Funding: The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Study area descriptions/descriptor: 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.

Design description: 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)

Data published through GBIF: http://ipt.gbifbenin.org/resource?r=cerf1

Taxonomic coverage

General taxonomic coverage description: Plantae

Spatial coverage

General spatial coverage: Glazoué, Savè, Tchaourou, Dassa, Oussè			

Coordinates: 7°37'39.1''N and 9°1'41.32''N Latitude; 2°3'57.4''E and 2°35'59.76''E Longitude 

Temporal coverage: August 13, 2018 - August 24, 2018

Methods

Method step description: 

Datasets

Dataset description
Object name: Darwin Core Archive Study of medicinal and energy plants from Benin				
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://ipt.gbifbenin.org/archive.do?r=cerf1
Publication date of data: 2020-01-18
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: English
Date of metadata creation: 2020-01-11
Hierarchy level: Dataset