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Ecological impact needs both evidence and risk context.

Kokonut uses EBF and CRISP to help DAO members, farm operators, Impact Guild contributors, grant reviewers, and institutional partners interpret the evidence produced by the MRV workflow. These frameworks do two different jobs:
  • EBF explains the ecological, economic, social, and sustainability value a farm produces.
  • CRISP explains which risks could prevent the projected carbon or ecological outcomes from being achieved.
Together, they help Kokonut move from broad regenerative claims to a clearer impact profile: what happened, what evidence supports it, what remains uncertain, and what should be reviewed next.

Use this page when preparing annual impact reports, reviewing farm proposals, assessing carbon-risk claims, or explaining Kokonut impact to partners.

EBF and CRISP help structure impact and risk analysis. They do not automatically certify a farm, guarantee carbon-credit issuance, guarantee financial returns, or replace MRV evidence, legal review, agronomic review, or DAO governance.

EBF and CRISP at a glance

Think of MRV as the evidence layer, EBF as the impact interpretation layer, and CRISP as the risk interpretation layer.

Where these frameworks fit in Kokonut

Kokonut does not use EBF or CRISP as replacements for farm data. It uses them to interpret farm data that has already been collected, structured, published, and anchored through the MRV pipeline.

EBF — Ecological Benefits Framework

What EBF does

EBF gives Kokonut a shared language for describing value that carbon-only accounting often misses. A regenerative farm may improve soil health, protect biodiversity, train local workers, expand community food access, generate revenue, preserve cultural knowledge, and distribute public goods. EBF helps organize those benefits into a reportable structure so they can be discussed, compared, funded, and improved.

What EBF does not do

EBF is not a sensor, a database, a farm registry, a carbon credit standard, or an automatic certification. It is an interpretation framework. It requires evidence from MRV, financial records, field observations, community logs, and DAO reporting before any impact claim can be considered credible.

EBF reporting dimensions

How Kokonut produces an EBF report

An EBF report should be assembled from evidence, not written as a promotional summary.
Strong EBF reporting separates actuals from forecasts. A projected benefit can guide planning, but it should not be described as delivered impact until it is supported by evidence.

CRISP — Carbon Risk Identification and Scoring Principles

What CRISP does

CRISP helps Kokonut evaluate the risk associated with carbon-delivery and ecological-delivery claims. This matters because a farm may have a promising regeneration thesis but still face weather risk, methodological risk, operator risk, financial risk, regulatory risk, and data quality risk. CRISP makes those risks visible before claims are overused in proposals, partner materials, or public impact reports.

What CRISP does not do

CRISP is not a pass/fail certification, not a guarantee of carbon delivery, and not a replacement for scientific carbon methodology. It is a risk-scoring and due diligence framework. It helps reviewers ask better questions about whether projected benefits are likely to be delivered and verified.

Five CRISP risk factors

When Kokonut applies CRISP

CRISP should be applied repeatedly, not once.

How EBF and CRISP work together

EBF and CRISP answer different sides of the same trust question.
A strong Kokonut impact profile includes all three:

How this applies to Adelphi

At Adelphi, the EBF and CRISP workflow should help reviewers connect farm activity to evidence and risk.
Adelphi can serve as a reference implementation, but each new farm still needs its own baseline, local risk review, MRV setup, operator assessment, and DAO-approved proposal.

Reviewer checklist

Use this checklist before treating an EBF or CRISP output as decision-ready.
  • Has the farm completed a baseline record through the Common Data Schema?
  • Are claims separated into actuals, forecasts, estimates, and assumptions?
  • Is each impact claim tied to a measurable source?
  • Are carbon and climate claims backed by methodology, reporting period, and evidence?
  • Are risks scored, explained, and paired with mitigation plans?
  • Are uncertainty and data gaps visible to DAO members?
  • Is the output published where reviewers can inspect it?
  • Are important records anchored through EAS or another verifiable public evidence layer?

What this page does not guarantee

These frameworks improve reporting quality, but they do not remove execution risk.

Next steps

MRV — Evidence Layer

See how farm activity becomes structured payloads, IPFS records, EAS attestations, Data Hub entries, and annual impact reports.

8 Forms of Capital

Understand the value categories Kokonut uses before translating farm activity into EBF-style reports.

Pillars of Value

Use the six evaluation questions that help DAO members decide whether a farm is worth funding.

Common Data Schema

Start with the farm record that makes proposals, MRV, EBF reports, and CRISP scoring comparable.

Adelphi Farm Summary

See the live reference farm where Kokonut applies the Framework, MRV, SDG reporting, and farm-level evidence.

Proposal Templates

Turn impact and risk assumptions into a DAO-reviewable proposal with evidence, budget, milestones, and next steps.