Capture of baseline data and detailed stakeholders analysis for the Livestock for Livelihood Project in four (4) transboundary ecosystems: the W-Arly-Pendjari (WAP) Parks Complex, the Karamajong Cluster, the area around Lake Tchad and the Fouta Djallon Foothills.
African Union Interafrican Bureau for Animal Resources (AU-IBAR) now invites interested applicants to apply for the consulting position on Baseline data collection and detailed stakeholders analysis for the Livestock for livelihood Project.
The Livestock for livelihood Project aims at strengthening livestock-based livelihoods and improving food and environmental securities in Arid and Semi Arid lands through improved Natural Resources and livestock management practices in response to increased risks and vulnerability from Climate Change.
Judicious management of natural resources, including conflict management and adaptation/mitigation to climate change, is necessary to avert severe ecological disasters and continuous conflicts. As expected, sustainable management of scarce natural resources becomes even more complex in the situation of cross-border land use systems where different regulatory and institutional frameworks apply and where common transboundary mechanisms have to be set-up to allow adequate Natural Resource Management.
Contracting authority: The African Union Inter-African Bureau for Animal resources (AU/IBAR) Nairobi/Kenya.
Submit your proposals to:
African Union/Inter-African Bureau for Animal Resources (AU/IBAR)
Kenindia Business Park, Museum Hill, Westlands Road
PO Box 30786-00100 Nairobi, Kenya
to reach by 15th February 2010
How to apply: Submit your CV including three references and a motivation letter and a proposal to the Director at applications@au-ibar.org clearly indicating in the subject line the position you are applying for. Certified copies of relevant qualifications will be requested at later stage and only short-listed candidates will be notified.
Request for proposals document can be downloaded below
RFP Selection of consultants for national baseline data collection
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