Request for Proposal (RFP)

Consultant for Plot-Based Data Collection to Assess Forest Carbon Sequestration in the Congo Basin.

SUMMARY OF PROCUREMENT

The World Resources Institute is seeking to award a fixed-price contract to an organization with relevant knowledge and expertise in forest inventory data collection based on plots and the calculation for forest carbon stocks in Congo basin. the data collection will be done in Cameroon and Democratic Republic of Congo/DRC. The duration of the contract is two months, non-renewable, and the deadline for submission of proposals is September 16, 2024.

The quoted budget in the RFP is 72,000.00 USD.

1. Overview

WRI is a trusted partner for change. Using research-based approaches, we work globally and in focus countries to meet their development goals while protecting and restore naturing; and to stabilize the climate and build resilient communities. We aim to fundamentally transform the way the world produces and uses food and energy and design cities to create a better future for all. Founded in 1982, WRI has nearly 1,800 staff around the world, with country offices in Brazil, China, Colombia, India, Indonesia, Mexico and the United States and regional offices in Africa and Europe.

WRI’s recently launched 2023-2027 Strategic Plan | Getting the Transition Right for People, Nature & Climate which significantly shifts not only the impact that WRI aims to achieve but also demands increased collaboration across our distributed global network to deliver this impact. The strategy includes a strong argument for catalyzing financial flows to developing countries, to enable transitions in three Human-Centered systems: food, land, and water; energy; and cities.

The Congo Basin, encompassing the world's second-largest tropical rainforest, is a critical component of the global carbon cycle. It stores vast amounts of carbon and plays a vital role in mitigating climate change. Despite its significance, the region faces challenges in accurately monitoring forest carbon stocks and dynamics due to limited access to detailed, locally relevant, and spatially precise data. This project aims to address these challenges by integrating in situ forest inventory data with cutting-edge Artificial Intelligence (AI) approaches and techniques.

2. The assignment

To carry out this study, WRI is seeking a nonprofit organization or research institution with relevant knowledge and expertise in forest inventory data collection based on plots and the calculation of forest carbon stocks for Central Africa. Specifically, they should be capable of collecting data from 65 sampling plots (10 plots in Cameroon and 55 plots in the Democratic Republic of Congo/DRC) that were established during the first forest inventory data collection in 2013-2014.

Under the supervision of the Data Lab lead for WRI Africa, two main deliverables are expected from the consultant are as follows:

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