---
name: agsy-impact-and-implications
description: Use when articulating why an Agricultural Systems (AgSy) result matters — its relevance for farm design, management, decision support, or policy. AgSy values systems analysis that informs a decision, so this is what separates an AgSy paper from a methods demo. It frames implications honestly within the model's scope; it does not over-claim or invent impact.
---

# Impact & Implications (agsy-impact-and-implications)

AgSy publishes systems analysis that **informs a decision** — how to design or manage a farm, what
trade-off a policy faces, where to intervene in a food system. A technically sound model with no
decision relevance reads as a methods demo. This skill turns systems results into **honest, scoped
implications** without over-claiming.

## When to trigger

- Writing the discussion, implications, or conclusion section
- The model and evaluation are sound but the "so what for decisions" is thin
- A reviewer said the paper is "academic," "no clear application," or "over-claims its policy reach"
- Framing recommendations for farmers, advisers, or policymakers

## How to frame implications

1. **Name the decision.** Who decides what differently because of this result — a farmer choosing a
   rotation, an adviser targeting an intervention, a policymaker weighing an instrument?
2. **State the trade-off, not a single "best."** Systems results are about trade-offs and synergies; an
   honest implication says "option A gains X but costs Y," and for whom.
3. **Scope it to the system and the evidence.** Implications hold within the system boundary, scales,
   and conditions you modelled and evaluated. Say where they likely do **not** transfer.
4. **Be honest about uncertainty.** Tie the strength of the recommendation to the uncertainty from
   `agsy-data-and-model-evaluation`. Do not let a wide ensemble become a confident policy claim.
5. **Connect to the bigger system.** Where relevant, link the farm/landscape result to food security,
   environment, climate, or livelihoods — the interactions AgSy cares about.

## The decision-relevance test (AgSy-specific)

Write one sentence: *"Because of this analysis, [actor] should weigh [option] differently because the
system trades off ___ against ___, under conditions ___."* If you cannot, the paper has results but no
implications — strengthen the framing or the scenario design.

## Anti-patterns

- A discussion that only restates results with no decision relevance
- Recommending a single "optimal" option while hiding the trade-off
- Generalizing beyond the modelled system, scales, or conditions
- A confident policy claim resting on high-uncertainty output
- Implications that ignore the social/economic side of the system

## Output format

```
【Decision】who acts differently and how
【Trade-off】what is gained vs. given up, for whom
【Scope】system boundary / scales / conditions where it holds (and not)
【Uncertainty-matched】recommendation strength tied to uncertainty? [Y/N]
【Wider link】food security / environment / climate / livelihoods
【Next】agsy-reproducibility-and-data-policy
```

## Supplementary resources

- [`../../resources/external_tools.md`](../../resources/external_tools.md) — food-system data and trade-off/decision tooling
- [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — AgSy scope: decision and policy relevance of systems analysis