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Dec 21, 2017

IUCN Economic Analysis of Restoration Opportunities in Kenya Consultancy

IUCN Terms of Reference for consultancy on Economic Analysis of Restoration Opportunities in Kenya (quantifying climate mitigation and adaptation benefits of Forest Landscape Restoration

 IUCN is the world’s oldest and largest global environmental organization, with more than 1,200 government and NGO members and almost 11,000 volunteer experts in some 160 countries. 

IUCN’s work is supported by over 1,000 staff in 45 offices and hundreds of partners in public, NGO and private sectors around the world.

 
IUCN helps the world find pragmatic solutions to our most pressing environment and development challenges. 

IUCN works on biodiversity, climate change, energy, human livelihoods and greening the world economy by supporting scientific research, managing field projects all over the world, and bringing governments, NGOs, the UN and companies together to develop policy, laws and best practice.

1. Background: The International Union for Conservation of Nature (IUCN)1 is currently carrying out forest landscape restoration (FLR) assessments using the Restoration Opportunities Assessment Methodology (ROAM) in 26 countries. 

As part of the assessments, economic analysis is carried out to assess which forest landscape restoration opportunities are viable and most appropriate for countries, private sector and individuals.
 
The assessments underpin the work IUCN and its partners are doing on (FLR) in support of the Bonn Challenge, a global goal to initiate restoration of 150 million hectares of deforested and degraded lands by 2020 and 350 million hectares by 2030.

In Kenya, the Kenya Forest Service is undertaking ROAM and IUCN is supporting this process and it is on this basis that we are seeking a landscape restoration economist to undertake the economic analysis to assess which forest landscape restoration opportunities are viable, most appropriate and those that will generate a positive rate of return on investment from public sector, private sector and individuals in Kenya.
 
The economic analysis should make a strong case and justification for the need to restore the identified degraded areas, especially among policy makers (treasury and finance), private sector players as well as individual farmers. 

In addition, the economic analysis should quantify should provide a clear indication of “best bets” for achieving climate mitigation and adaptation benefits from forest landscape restoration interventions in Kenya quantified as short-term and long-term economic benefits.
 
2. Objectives of the assignment
 
The key objectives of the economic analysis are to:
 
i. Establish costs and identify benefits of investments in forest landscape restoration in the potential areas and ensuring that the restoration opportunities identified are economically viable and appropriate, and will generate a positive rate of return on investment from public sector, private sector and individuals, while generating appropriate mitigation and adaptation benefits e.g., from avoided deforestation, carbon sequestration, and improved resilience and disaster risks reduction for local communities and ecosystems.
 
ii. Identify and analyze the types of finance and resourcing options available to support the implementation of forest landscape restoration interventions.

iii. Recommend a finance mix suitable and feasible for the different types of forest landscape restoration interventions emerging from the assessment (e.g., public and private, national and international.
 
3. Specific Tasks
 
1. Collect and review available information with regards to restoration opportunities in Kenya, to
get a deep understanding of restoration initiatives in the country
 
2. Based on best practice and available data for Kenya, develop a robust methodology to quantify costs and benefits of implementing restoration practices and actions such as agroforestry, afforestation, reforestation, natural regeneration, riparian vegetation restoration/riverine buffer zoning and other interventions detailed in the Kenya’s Restoration Assessment Report, through the lens This would include developing ecosystem service models that capture crop production, watershed conservation, timber growth, carbon, erosion, soil fertility enhancement, and other important variables.
 
3. Collect data from a representative priority landscape to carry out the analysis based on the proposed methodology, and for at least 3 landscape restoration scenarios – the The idea here is to carry out CBA for a few models: e.g., BAU, and two models that show some level of optimization of financial returns and social and environmental benefits.
 
4. Quantify both adaptation {While climate mitigation focuses primarily on the carbon sequestration from the growth of trees both in terms of woody and soil biomass, climate adaptation focuses on the support to resilience of communities in terms of disaster risk reduction, food and income security as well as improved governance.} and mitigation benefits for the restoration scenarios.

5. Carry out a sensitivity analysis, to quantify the risks of adopting each restoration activity on key risk risks dimensions, including market prices, production/yield, climate change, etc.
 
6. Based on results, build compelling economic case for investment in forest landscape restoration, at national and subnational levels as outcome from the ROAM processes by identifying appropriate sources of funding and a finance mix.
 
4. Duration of the assignment and deliverables
 
The assignment will be carried out within a 6-month period (January to June, 2018) {Estimated at about 60 person days.}.

The final report is expected for delivery on June 1, 2018.

IUCN Economic Analysis

5. Consultant’s experience and qualifications
  • A natural resource management specialist with at least a Master’s degree in Economics, Environmental Economics, Natural Resource Economics, Development Economics or related discipline;
  • A minimum of 7 years of experience applying economic analysis to inform natural resource management (policies and public and private investments)
  • Familiarity with landscape level economic analysis, restoration economics, and climate mitigation and adaptation;
  • Demonstrated regional and national level experience of using economic analysis to tackle environmental issues in developing country contexts (experience working in Kenya would be preferred);
  • Proven ability to work in an interdisciplinary manner, both independently and in a team;
  • Excellent interpersonal and networking skills, especially in multi-stakeholder contexts;
  • Effective communications skills (in writing and speaking) in English language
6. How to apply
 
a. Interested individuals to submit their CV and a 1 page application to [email protected] by December 30th 2017;
 
b. The application should clearly demonstrate suitable skills, experience to carry out the consultancy.
 
c. Include 2 samples of relevant or similar work conducted in the past, and
 
d. Submit written quote: a deliverable based in USD for undertaking the assignment.

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