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SMHI SVAR

SMHI SVAR supplies official Swedish lake identity and geometry for sampling-oriented products. It answers which registered water body is the candidate? It does not answer whether that lake contains suitable sediment, can be accessed, can be permitted, or is scientifically preferable.

SVAR is a sampling-domain family rather than direct biological or historical evidence. Nearby pollen, ancient DNA, and archaeology remain owned by their source families even when they contribute to a lake ranking.

Current Capture

Property Governed value
source SMHI SVAR
source surface https://vattenwebb.smhi.se/svarwebb/
acquisition interface WFS lakes type
capture date 2026-06-22
matched lakes 40,565
normalized count reported by the capture 40,565
publication layer key svar-lakes
temporal posture no time dimension

The count describes registry members in the governed capture. It is not a count of palaeolakes, sampled basins, accessible sites, or viable coring locations.

Shipped And Declared Surfaces

The source-family contract declares a normalized registry at data/svar/normalized/sweden_lake_registry.geojson. The current repository snapshot does not ship that file. It ships:

  • data/svar/raw/svar_lake_registry_manifest.json, which records source, interface, acquisition date, and matched and normalized counts; and
  • data/svar/normalized/svar_summary.json, which records the 40,565-member count and svar-lakes layer identity.

Published Sweden ranking tables retain member-level SVAR identifiers, representative coordinates, source URLs, name diagnostics, water identities, and mapped areas for the candidates they publish. Those product members are auditable, but they are not a substitute for a portable checked-in copy of the complete normalized registry.

flowchart LR
    WFS["SMHI SVAR WFS"] --> Capture["capture manifest<br/>40,565 matched lakes"]
    WFS --> Registry["declared normalized registry"]
    Capture --> Summary["checked-in count summary"]
    Registry --> Candidate["stable lake candidate identity"]
    Candidate --> Ranking["Sweden ranking and sensitivity products"]
    Ranking --> FieldReview["identity, basin, access, permit, and field review"]

The trust boundary is explicit: the manifest and summary establish source-scale counts, while a published candidate row establishes the identity retained for that product. Neither establishes the unpublished members of the absent normalized registry file.

Lake Identity Contract

Field What it establishes What it does not establish
registry ID or UUID stable source identity for the water body unique human-readable name
water identity source-owned water object sampling suitability
official geometry present registry extent historical shoreline or depositional basin
representative point reproducible anchor derived from the polygon optimal access or coring coordinate
mapped area geometry-derived screening input depth, volume, sediment thickness, or preservation
source URL route back to the registry object permanence of every displayed attribute

Duplicate lake names are expected and must remain visible. A clean name match cannot replace the registry identifier, UUID, geometry, and coordinate when a candidate is cited or reviewed.

Lake, Candidate, And Sampling Location Are Different Objects

Object Governing identity Supported claim
registered lake SVAR registry ID, UUID, water identity, and source geometry which official water body the record represents
ranking candidate product version, lake identity, representative point, mapped area, scenario, and evidence packet how the lake compares under one declared decision-support model
fieldwork target reviewed access, basin, bathymetry, sediment, permit, safety, and sampling rationale where a field team may investigate
sampling station field-owned coordinate, method, date, and observation record where a specific visit or sample was actually made
flowchart LR
    Lake["registered lake identity"] --> Candidate["ranked candidate"]
    Candidate --> Review["field feasibility review"]
    Review --> Target["fieldwork target"]
    Target --> Visit["sampling station or visit"]

The transitions are decisions, not aliases. The representative point used for distance calculations must not be copied forward as a coring coordinate, and a high-ranked lake does not become an approved field target without the missing field-owned evidence.

From Registry To Decision Support

flowchart LR
    Lake["SVAR lake identity and geometry"] --> Eligibility{"candidate eligibility"}
    Eligibility -->|excluded identity class| Outside["outside shortlist"]
    Eligibility -->|human aDNA within 50 km| Bands["10–50 km evidence bands"]
    Bands --> Aggregate["aggregate ordering"]
    Bands --> Consensus["scenario consistency"]
    Aggregate --> Preparation["fieldwork-preparation screen"]
    Consensus --> Preparation
    Preparation --> Decision{"expert field decision"}

The registry owns the candidate, not the surrounding evidence. Distance bands join governed records around the candidate under a declared model. The model may prioritize review; it cannot convert registry presence into a sampling recommendation.

Audit A Lake Candidate

  1. Record the publication version, ranking surface, and scenario.
  2. Resolve the row to its SVAR registry ID, UUID, water identity, and source URL; use coordinates to disambiguate repeated names.
  3. Confirm the representative-point method and mapped area.
  4. Read the nearby evidence as separately owned source-family inputs.
  5. Inspect aggregate, consensus, sensitivity, and preparation outputs rather than quoting an ordinal rank alone.
  6. Treat bathymetry, sediment preservation, access, permits, and field safety as independent evidence required before a sampling decision.

Review A Refresh From Registry Identity Outward

Start with SVAR IDs, UUIDs, source URLs, names, and water geometries. Then compare the representative-point method and only afterward recompute eligibility, distance bands, rankings, and fieldwork-preparation surfaces. A changed centroid can alter every proximity result without changing the lake identity. A changed rank can leave the registry record untouched. The refresh receipt names which boundary changed instead of attributing every difference to “the lake.”

Governing Surfaces

  • data/svar/raw/svar_lake_registry_manifest.json governs capture identity and source-scale counts;
  • data/svar/normalized/svar_summary.json governs the checked-in summary;
  • data/source_family_contracts.json declares lifecycle ownership;
  • data/source_spatiotemporal_posture_registry.json declares sampling-domain, distance, and no-time postures; and
  • Sweden lake priorities explains the derived ranking, sensitivity, and field-review boundaries.

Continue with source comparison before combining SVAR with another family and publication reports when reusing a ranked candidate.