584803d5-93d5-4f48-8296-75da8659bc59 http://ipt.gbifbenin.org/resource?r=cerf2021 Plant species inventory in Lama forest in southern Benin by CERF and SOS Biodiversity Roméo GBAGUIDI Centre d'Etude, de Recherche et de Formation Forestière
Abomey-Calavi Atlantique +229 BJ
95242460 gbaguidiromeo@gmail.com
Merveille Trinité GOUDOU SOS Biodiversity Active member
Cotonou Littorale +229 BJ
94590107 merveillegoudou@gmail.com http://sosbiodiversity.org/
Roméo GBAGUIDI Centre d'Etude, de Recherche et de Formation Forestière
Abomey-Calavi Atlantique +229 BJ
95242460 gbaguidiromeo@gmail.com
Augustin OROU MATILO Centre d'Etude, de Recherche et de Formation Forestière Deputy director
Abomey-Calavi Atlantique +229 BJ
97842182 matilorou@yahoo.fr
Steven ADJAKIDJE Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC) student
BP 1493 Calavi Abomey-Calavi Atlantique +229 BJ
62623070 stevenkad@yahoo.com
Merveille Trinité GOUDOU SOS Biodiversity Active member
Cotonou +229 BJ
94590107 merveillegoudou@gmail.com http://sosbiodiversity.org/
2021-07-28 eng The inventory was carried out in the classified forest of the Lama commune of Zogbodomey. Data collected were taken on plots (100m X 100m) resulting from systematic sampling. The collection method is observation. Plant species Lama forest Benin West Africa GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License. Lama, Zogbodomey, Benin (West Africa) 2.104 2.18 6.991 6.975 2020-09-01 2020-09-30 unkown Roméo GBAGUIDI Centre d'Etude, de Recherche et de Formation Forestière
Abomey-Calavi Atlantique +229 BJ
95242460 gbaguidiromeo@gmail.com
Installation of the plots, identification of the species then coordinate taking The inventory was carried out in the classified forest of the Lama commune of Zogbodomey. Data collected were taken on plots (100m X 100m) resulting from systematic sampling. The collection method is observation. Regional graduate course for capacity development in biodiversity informatics in Africa GANGLO Jean Cossi pointOfContact 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 The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/) 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. 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)
2021-06-27T12:15:03.878+00:00 dataset Gbaguidi R., Orou A., Adjakidjè S., Goudou M., 2021. Plant species inventory in Lama forest in southern Benin by CERF and SOS Biodiversity. CERF and SOS Biodiversity De Souza S., 1988. Flore du Bénin (Tome 3). Akoègninou A. et al., 2006. Flore analytique du Bénin. 584803d5-93d5-4f48-8296-75da8659bc59/v1.1.xml