Services//Seven practice areas

From field protocols to analytical outputs

Seven complementary practice areas covering the full arc from field measurement and methodology design to scientific decision-support.

Expert review & advisory

An independent expert on the science you're relying on

You are running a big project and a service provider is doing the work. You rely on their methods and their numbers, but you do not always have the time to follow every step, or the expertise in-house to judge whether the science holds up. An independent expert closes that gap: someone with no stake in the deliverable, who can look hard at the science and tell you where it is sound and where it is not. Sometimes that means a full review. Sometimes it is one call on one decision. You decide how much you need.

M01

Independent review of the work

We examine a service provider's methodology, sampling design, model, or results, and give you a clear read on whether they meet the standard your decision needs. Often the entry point is a soil or tree sampling protocol: we check it before the campaign starts, because carbon accounting asks more of a protocol than ordinary agronomic sampling does.

M02

A call, or a second opinion

Sometimes you need one question answered well, not a whole engagement. A short call, a second opinion, or written advice on a specific choice you are about to commit to: an indicator, a target, a claim, a method.

M03

A subject-matter expert on hand

For a program already under way, we step in on the specific things where deep expertise earns its keep: a protocol to pressure-test, a result that needs interpreting, an assumption worth checking before everything rests on it. You get scientific scrutiny where it counts, without adding a scientist to the payroll.

Where we work

Five domains, one practice

Distinct fields of expertise. Most projects pull from two or three at once.

I

Soils

The physical, chemical, and biological substrate of every land project. We work at research grade: soil health, characterization, biology, and the sampling logic that makes any downstream claim defensible.

II

Carbon

Soil carbon baselines, biomass accounting, MRV, aligned with the GHG Protocol Land Use Removals guidance and with the practical reality of supplier programs. We aim for numbers that survive a serious audit.

III

Agroforestry & trees

Trees inside production systems: allometry, biomass, shade dynamics, remnant-tree carbon. The estimation methods that matter when the trees aren't in a plantation but scattered through farms.

IV

Farm systems & modeling

Whole-farm dynamics, short-term and long-term. The models show how management choices translate into emissions, yields, removals, and the trade-offs between them that don't usually make it into the slide deck.

V

Science & evidence

The methodological backbone underneath everything else: sampling design, literature synthesis, peer review, capability-building. Less a domain in itself than the standards we apply across the others.

What you receive

Twelve concrete things we ship

These aren't packages or tiers. They're individual artifacts you can commission on their own, or stack into a larger engagement.

D01

Sampling design + protocol review

A statistically defensible field campaign plan, or an independent second opinion on a plan your team or vendor has already put forward.

Science & evidence
D02

Soil characterization report

Field- and lab-based soil profiles. Physical, chemical, and biological properties, interpreted rather than just tabulated.

Soils
D03

Soil carbon baseline

Stock estimation at project or supplier-shed scale, with the depth, bulk density, and uncertainty treatment carbon accounting actually requires.

Carbon
D04

Biomass & allometry assessment

Above- and below-ground biomass estimates for plantations, agroforestry, or scattered trees, with allometric models matched to the actual context.

Agroforestry & treesCarbon
D05

Statistical model or scenario analysis

Mixed models, simulations, scenario comparisons. To test what your data actually says, or project how a management change will play out.

Farm systems & modeling
D06

Decision-support dashboard or app

Interactive tools your team can use day-to-day, not slide decks they'll archive. Built around the specific question that matters.

Farm systems & modeling
D07

Hand-drawn diagram or spatial map

When the right output is a clear figure, not a report. System diagrams, soil cross-sections, project maps, all drawn for the audience.

Science & evidence
D08

Literature review or decision brief

Vast or contradictory science compressed into a sourced, opinionated memo your decision-makers can actually read.

Science & evidence
D09

Training workshop or curriculum

Tailored capability-building for in-house teams. The working knowledge your people need to do the job well, without the certification theatre.

Science & evidence
D10

Independent peer review

A senior scientific read on someone else's methodology, results, or protocol, before publication, audit, or commitment.

Science & evidence
D11

Custom MRV or methodology document

The protocol document itself: how a project will measure, report, and verify, written to survive third-party scrutiny.

Carbon
D12

Bespoke scientific tool or web build

When the deliverable should live on the web: calculators, visualization tools, public-facing science.

Farm systems & modelingScience & evidence

Our posture

Agriculture needs science. Science must be rooted in agricultural reality

Delivering effective outcomes requires more than just technical know-how. It demands a dual perspective: applying rigorous, independent research to solve complex problems, while ensuring those methodologies are actually functional in the soil and manageable in the field.

Because there are no universal templates for living land systems, our work bridges this gap. We anchor our approach in analytical transparency and practical usability: an interplay between scientific theory and lived reality that guides our entire workflow.

Process // How we work

A five-stage scientific workflow

  1. 01/05

    Problem framing

    We start by clarifying the real decision you need the data to support, the context it lives in, and any constraints (budget, geography, deadlines) that shape what rigor is actually possible.

  2. 02/05

    Proposal & methodology

    A written technical proposal with a defensible methodological approach, clear deliverables, assumptions, and an uncertainty budget. Never boilerplate, always tailored.

  3. 03/05

    Collaborative execution

    We work alongside your team and field partners. Protocols are tested, adjusted, and documented as we go. You stay in the loop at every stage.

  4. 04/05

    Analysis & interpretation

    Independent statistical analysis, modelling, or synthesis, with honest treatment of uncertainty and a clear separation between what the data shows and what it implies.

  5. 05/05

    Delivery & next steps

    A reviewable, decision-grade output: report, dataset, tool, or methodology. We stay available for follow-up questions, audit defense, or the next iteration.

Ekodama // Field practiceRef 2026-08

Work with us

Not sure you need a full study? Start smaller

You do not need a full engagement to start. Often the right first step is smaller: a review, a second opinion, a single call. The first conversation is free, and always honest.