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)
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
The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 1,477 records.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:
The table below shows only published versions of the resource that are publicly accessible.
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Institut de Recherche Agronomique de Guinée (IRAG). To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.
This resource has been registered with GBIF, and assigned the following GBIF UUID: b5f88be8-335b-471c-9532-5430c45290a7. Institut de Recherche Agronomique de Guinée (IRAG) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Guinea.
République de Guinée
|Bounding Coordinates||South West [-1.406, -16.875], North East [24.527, 2.812]|
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.
|Title||Capacity building and biodiversity data mobilization for conservation, sustainable use, and decision making in Africa and Madagascar|
|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 Description||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.|
The personnel involved in the project: