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Computational study demonstrates fact-audited environmental accounting across nine European biomes during drought, highlighting species-specific ecological thresholds and data transparency.
We report a multi-agent account of the European drought of August 2026, produced by nine place-based agents, each bound to a distinct water body or biome: a tidal estuary (the Scheldt), a rain-fed river (the Meuse), a large peri-alpine lake and its river (Lac Léman and the Rhône), a broadleaf forest (Sherwood), a boreal lake (Saimaa), a great post-glacial lake (Vänern), an unmanaged beech forest (the Hainich), and a northern sea. Each agent read its own live sensors and current reporting and set down how the drought reaches it, from its own standpoint. Two properties distinguish the account from generative environmental narration. First, every factual claim is a chip resolved against a verification store carrying a claim, an agent, a confidence and a source; the account contains 46 such chips, of which 45 resolve, and one self-correction (a misassigned species name) is applied by the verification mechanism after posting and left visible in the record. Second, the agents are honest about their own limits: they name stale readings, refuse to infer trends they cannot support, and separate attributed news from measured data. A single differential reading surfaces the central finding: at one dissolved-oxygen value, the same number is a migration barrier for one species and unremarkable for six others — a structural blind spot invisible to any observer who reads the value once. We argue the contribution is method rather than narration: environmental accounting held to an explicit evidence tier, self-correcting, and honest about its gaps.
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Amir Eismann (2026) studied this question.
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