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GROVE_Forest_Smart_Ledger

This publication is CPI’s analysis of GROVE: Forestry Smart Ledger, an innovative climate finance instrument endorsed by the Global Innovation Lab for Climate Finance (the Lab). CPI serves as the Lab’s Secretariat. Each instrument endorsed by the Lab is rigorously analyzed by our research teams. High-level findings of this research are published on each instrument, so that others may leverage this analysis to further their own climate finance innovation.

India has pledged to create a carbon sink of 2.5-3 billion tons through 2030, for which it would require USD 15 billion annually. Mangroves can typically store four times more carbon than rainforests and are inexpensive – making them arguably the most efficient carbon sequestration technology in the world.

However, small-scale forestry community projects do not have reliable corporate and donor financing. In addition, only large forestry projects have the capacity to absorb high carbon verification costs and thus small-scale projects are automatically excluded from carbon finance markets. Thus, it is imperative to lower barriers to entry for carbon finance markets and reduce third-party verification costs in order to scale up community forest planting.

GROVE: FSL crowdfunds capital for small-scale forestry projects, reduces monitoring costs through remote sensing and machine learning, and increases financial transparency and local community earnings through blockchain-backed smart contracts.

INNOVATION

GROVE: FSL is a novel approach to address barriers in small-scale mangrove forestry projects. First, a peer-to-peer platform connects local communities’ mangrove projects with corporate and individual funders eager to achieve carbon neutrality.

Second, a blockchain ledger ensures complete transparency and efficient tracking of financial flows and facilitates impact reporting for project benefactors.

Last, a combination of satellite remote sensing and machine learning expeditiously measures impact and significantly reduces costs related to third-party validation and verification.

GROVE: FSL is the only solution that simultaneously focuses on growing forests, benefiting local communities, and improving the efficiency and transparency of financial flows.

IMPACT

GROVE: FSL plans to mobilize crowdfunding campaigns of up to USD 5 million, funding projects equivalent to 2,500 hectares in the first year. This figure could rise to USD 38 million within three years, sequestering up to 8.2mn tCO2e – the same as taking 180,000 cars from roads for 10 years.

In addition to carbon sequestration, mangroves act as natural shields and protect human life in coastal communities and property worth billions from extreme weather events.

Lastly, the incomes of local communities can more than double thanks to more abundant fish and other natural resources. With global philanthropy dedicating a portion of resources towards battling COVID-19, GROVE: FSL can provide new funding sources for mangrove forestry.

DESIGN

GROVE_Forest_Smart_Ledger_Mechanics

Potential funders can go through projects listed on GROVE’s website and choose which mangrove project to fund. Funders are issued a GRO-Coin (a non-fungible digital token) signalling their stake in the project. A portion of the garnered funds is released upfront for planting, while the rest will be kept in a conservation trust and released periodically to local community members as a conservation performance reward. FSL is the tech stack at the backend that combines remote sensing and machine learning to monitor and track biomass growth.

GROVE and FSL are inter-connected through a pre-programmed digital smart contract that ensures that local community members are financially rewarded for their conservation efforts. A more impactful assessment would result in higher reward payments.

Revenue source for GROVE comes from a 10% admin fee of the crowdfunded amount, and for FSL, from fees for verification and project service, such as reports on baseline figures, biomass estimation, benefit sharing contract set up etc.

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