1. Locate habitat cellsOfficial habitat polygons are intersected with a 1 km assessment grid.
2. Read fixed variablesOnly the approved occupied-area variables listed below are used.
3. Score by habitat percentilesEach value is compared only with cells where the same habitat occurs.
4. Average and classifyValid variable scores are averaged and translated to FV, U1, U2 or XX.
- Description of the parameter
- Conservation status for the occupied-area pillar. It answers a simple question: in each 1 km grid cell where a habitat is present, does the amount of habitat and its broad environmental setting look favourable, inadequate, bad or unknown?
- Assessment unit
- The spatial unit is a regular 1000 m grid in EPSG:3035 crossed with the official habitat cartography. The output has one row per
AOI x grid cell x habitat code. If more than one habitat occurs in a grid cell, the cell is repeated once per habitat, so each habitat keeps its own score. Habitat fragments below 100 m2 in a grid cell are discarded.
- Habitat inputs
- Official habitat cartography registered in OpenPAS is used as the reference habitat presence layer. Current target habitats are
6110, 6210, 6220, 6230, 6310, 6410, 6510, and 6520. For each grid cell and habitat, the product stores habitat area and the percentage of the cell occupied by that habitat.
- Variables, rules and weights
-
| Variable | Value calculated | Evaluation rule | Weight |
|---|
habitat_cover_pct | Habitat area inside the cell divided by grid-cell area, as percent. | pressure_low: low cover is worse; high cover is better. | 1 |
clc_plus | Land-cover context layer. | context: not scored. | 0 |
clc_plus_predicted | Predicted land-cover context layer. | context: not scored. | 0 |
precip_static | Raster zonal mean. | anomaly: central habitat values are best; both tails are riskier. | 1 |
prcp | Raster zonal mean. | anomaly | 1 |
tavg_static | Raster zonal mean. | anomaly | 1 |
tavg | Raster zonal mean. | anomaly | 1 |
tmin | Raster zonal mean. | anomaly | 1 |
tmax | Raster zonal mean. | anomaly | 1 |
swi | Raster zonal mean. | anomaly | 1 |
scd_static | Raster zonal mean. | anomaly | 1 |
- How each variable is scored
- For a variable
i, habitat h and grid cell g, the value is ranked within all valid cells of the same habitat: rank_i(g,h) goes from 0 for the lowest value to 1 for the highest. pressure_low uses score = rank. anomaly uses score = 1 - min(abs(rank - 0.5) / 0.5, 1). If fewer than 5 valid values exist for a variable and habitat, that variable is ignored for that habitat.
- Weights and pillar score
- All valid scoring variables have equal weight:
weight_i = 1. Context variables have weight = 0. Missing or invalid variables are excluded rather than counted as zero. occupied_area_score = sum(weight_i * score_i) / sum(weight_i), with all valid scoring weights equal to 1. The field occupied_area_indicator_count records how many variables contributed.
- Temporal reproducibility
- The method uses the fixed approved variable list shown above. New layers added to the visor are ignored unless they replace one of those approved variables for a future assessment year. For future years, the same variables, scoring rules, weights, thresholds and output schema are reused with updated source-layer dates.
- Raster extraction
- Raster variables are extracted as zonal means per grid cell, ignoring nodata and masked pixels. Because the output is repeated by habitat code, the same cell-level raster value is assigned to each habitat present in that cell, but percentile ranking is calculated separately for each habitat code.
- Status thresholds
FV is assigned when occupied_area_score >= 0.70, U1 when 0.40 <= score < 0.70, U2 when score < 0.40, and XX when no valid score is available. These thresholds are project screening thresholds, not formal Article 17 favourable reference values.- Published fields
- Main fields include
habitat_code, habitat_name, habitat_area_m2, habitat_cover_pct, occupied_area_score, occupied_area_status, occupied_area_status_code, overall_score, overall_status, confidence_score, and completeness/flag fields.
- Source
- Derived from OpenPAS registered datasets and official habitat cartography. No new external datasets are downloaded for this product.
- Licence of use
- Derived project product; reuse follows the licences and attribution requirements of the underlying OpenPAS and official habitat datasets.
