Inventaire des espèces végétales productives dans les Systèmes Agro-forestiers aux alentours de la Forêt classée de Ziama en Guinée Forestière (BID-AF2015-0066-REG)				

Dabaté Moussa1, Saïdou Doumbouya2, Saïdou Doumbouya3

1 , Guinea; 2 COSIE, ; 3 

Corresponding author(s): Dabaté Moussa, Saïdou Doumbouya (doumbouyasaidou@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.

Abstract

C'est un travail de mémoire de Master 2 AgroParisTech de Montpellier/France; qui a été réalisé en Guinée forestière dans  les systèmes agroforestiers qui sont dans la zone d'influence du massif forestier de Ziama (111 000 ha). C'est un jeux données d'inventaires exshaustifs des espèces végétales productives 					

Keywords: Occurrence

Project details

Project title: Capacity building and biodiversity data mobilization for conservation, sustainable use, and decision making in Africa and Madagascar
Personnel: DOUMBOUYA SAIDOU
Funding: The funding of this project is generously provided by European Union in the framework of Biodiversity Information for Development program managed by GBIF Secretariat
Study area descriptions/descriptor: The data digitized and published in the framework of this project are gathered throughout the country members on the targeted species
Design description: 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.

Data published through GBIF: http://ipt-guinee.gbif.fr/resource?r=systeme_agroforestier

Spatial coverage

General spatial coverage: République de Guinée
Coordinates: 1°24'21.6''S and 24°31'37.2''N Latitude; 16°52'30''W and 2°48'43.2''E Longitude 

Datasets

Dataset description
Object name: Darwin Core Archive Inventaire des espèces végétales productives dans les Systèmes Agro-forestiers aux alentours de la Forêt classée de Ziama en Guinée Forestière (BID-AF2015-0066-REG)				
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://ipt-guinee.gbif.fr/archive.do?r=systeme_agroforestier
Publication date of data: 2018-11-23
Language: English
Licences of use: Public Domain (CC0 1.0)

Metadata language: English
Date of metadata creation: 2018-11-23
Hierarchy level: Dataset