aef22888-444e-4cba-bfc5-f709ef15ccf4 http://ipt.gbifbenin.org/resource?r=jaures_threat_bid Threatened species recorded in protected areas and riparian land in Sudano-guinean and Sudanian agroecological zones Charles Gangnibo University of Abomey-Calavi/FSA/Laboratory of Forest Sciences
BP 1493 Abomey-Calavi Calavi Atlantique 229 BJ
+22997398973 charlaco2000@yahoo.fr
Jaures Gbetoho University of Abomey-Calavi. Faculty of Agricultural Sciences. Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC)
BP 393 Cotonou Calavi Atlantique 229 BJ
gljaures@gmail.com
Jean GANGLO University of Abomey-Calavi. Faculty of Agricultural Sciences. Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC)
BP 393 Cotonou Calavi Atlantique 229 BJ
+22966363770 ganglocj@gmail.com user
2019-07-01 eng List and geographic position of plant species from taxonomic families of some threatened species recorded using phytosociology Occurrence Classified forests riparian lands threatened plants species ecology Benin 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. List and geographic position of plant species from taxonomic families of some threatened species recorded using phytosociology 1 3.75 12 6.5 1995-10-11 2011-05-13 kingdom Plantae unkown Charles Gangnibo University of Abomey-Calavi/FSA/Laboratory of Forest Sciences
BP 1493 Abomey-Calavi Calavi Atlantique 229 BJ
+22997398973 charlaco2000@yahoo.fr
Capacity building and biodiversity data mobilization for conservation, sustainable use, and decision making in Africa and Madagascar Jean GANGLO principalInvestigator This project to mobilize biodiversity data and identify conservation priorities will be implemented by a consortium of eight African countries – Senegal, Côte-d’Ivoire, Mali, Guinea, DRC, Niger, Madagascar, and Benin. Training workshops organized by the University of Kansas will help build the data publishing capacity of project partners. The consortium will identify priority invasive alien species and threatened species for data mobilization, and publish relevant data from collections in France, Netherlands and Belgium. More than 200,000 records of biodiversity data will be made available through GBIF.org and national portals. Based on published data, the consortium will develop distribution maps of priority species, suggest actions to monitor and control the spread of invasive alien species and provide recommendations for the conservation of threatened species. The funding of this project is generously provided by European Union in the framework of Biodiversity Information for Development program managed by GBIF Secretariat The data digitized and published in the framework of this project are gathered throughout the country members on the targeted species Despite its utmost importance to the survival of humanity, biodiversity is subject to many threats. As a significant step toward overcoming these threats, we submit this project in the framework of a consortium of eight African countries - Senegal, Côte-d’Ivoire, Mali, Guinea, DRC, Niger, Madagascar, and Benin - to achieve the following goals: 1) Establish and strengthen international collaborations to mobilize biodiversity data; to achieve that goal, we will identify priority invasive alien species and threatened species to be considered in the consortium. We will organize workshops at regional level under the umbrella of the University of Kansas (USA), our Non-ACP partner, to capacitate project partners. We will digitize and publish data of consortium countries deposited in France, Netherlands, and Belgium. 2) Increase available biodiversity data, within and beyond the grant period, by capacitating and providing financial assistance to in-country partners to encourage them mobilize and publish their data through GBIF and national portals. 3) Apply biodiversity data in response to conservation priorities by achieving the following: elaborate distribution maps of threatened species and invasive alien species; identify the main threats to species and suggest efficient actions to protect and conserve them; identify and suggest efficient actions to monitor and eradicate invasive alien species; evaluate the efficiency of protected areas with respect to biodiversity conservation and make adequate suggestions; finally, from our results, elaborate and broadcast communication and outreach via diverse media so as to demonstrate to policy- and decision-makers the value chain: data → knowledge → applications.
2016-09-29T12:54:01.731+00:00 dataset List and geographic position of plant species from taxonomic families of some threatened species recorded using phytosociology Agonyissa D. (1996) Productivité et capacité de charge des pâturages naturels soudano-guinéens de la forêt classée de Wari-Maro. Thèse présentée en vue de l'obtention du diplôme d'Ingénieur agronome, UNB-FSA, 52p Sinsin B., Djego J., Houngbo E., Houénouha R., Lougbégnon T., Orékan V., Tchintchin Q. (2010) Etude de la diversité biologique dans les périmètres de reboisement de Kilir et d'Abomey appartenant à l'aire d'intervention du PGFTR. PGFTR, 110p Natta A.K. (2000) Tree species diversity assessment in Riparian Forests using remote sensing, geographical information systems and geostatistics - Case study of Toui-Kilibo protected forest in Benin. Master of Science Thesis, International Institute for Aerospace Survey and Earth Sciences, Forest Science Division CERGET-ONG (2011) Réalisation de l'étude de référence sur la diversité biologique des massifs forestiers des Trois rivières, de Sota, de Goungoun, de Dogo-Kétou, de l'Ouémé supérieur-N'Dali, PGFTR, 139P Bossou B. (2001) Contribution à l'aménagement de la forêt classée de Dogo-Kétou : structure et dynamique des différents groupements végétaux et périodicité de coupe. Thèse présentée en vue de l'obtention du diplôme d'Ingénieur agronome, UAC-FSA, 141p aef22888-444e-4cba-bfc5-f709ef15ccf4/v1.6.xml