Occurrence uses the 30 sampled plots in each community. Community boundaries are not rigid; these are study observations, not a complete Estonian distribution. Study data and methods →
INDEPENDENT BOTANICAL EVIDENCE
General ecology
Potentilla reptans is a thick-rhizomed perennial herb of meadows, verges and shores, with occasional records from ports and loading areas. Its ecology includes inland grassland and disturbed habitats as well as shore sites.
TG · Tall Grass1 / 30 · 3%Cover among 1 plots: median 7% · IQR 7–7%
Saardu1 / 20 plots
Keemu0 / 30 plots
Koera0 / 30 plots
Kudani0 / 40 plots
FINBIF TAXONOMY
Current verified classification
kingdomPlantae Haeckel
phylumTracheophyta Sinnott ex Cavalier-Smith
classMagnoliopsida Brongn.
orderRosales Bercht. & J. Presl
familyRosaceae Juss.
genusPotentilla L.
speciesPotentilla reptans L.
OUR MEASURED TRAITS
Pool-wise CCI and leaf area
Trait values are pooled measurements collected during the 2024 coastal-meadow field campaign and are study observations, not fixed species constants. Only summaries with at least five measurements are shown.
No validated pool-wise trait summary
This species did not meet the ≥5-measurement rule in the supplied CCI or leaf-area summary tables.
Licensed FinBIF photographs
Additional photographs
These views complement the primary photograph above without repeating it. Use them alongside a regional identification key; photographs alone are not sufficient for a field identification.
These steps show what this record contributes to the 2024 study. They do not turn the taxon name into a remotely sensed measurement.
1 · FIELD EVIDENCE1 of 120 plots
1 occupied plot has a positive numeric cover value available for occupied-plot cover summaries.
2 · TRAIT ELIGIBILITYNo eligible CCI or leaf-area summary
Neither trait met the documented minimum of five measurements for this taxon, so it contributes no species median to the CCI or leaf-area community-weighted means.
3 · MODEL LINKPlot response, not species detection
Plot-level ecological responses are paired with UAV predictors. A fitted model can estimate variation in those responses across the landscape; this record does not train a classifier for Potentilla reptans.