This collection compares ten plant Climate DNA profiles using the same occurrence filters, CHELSA variables, percentile method, and confidence gate. It is a data comparison, not a list of universal care targets. The common unit is the long-term outdoor climate attached to quality-filtered records inside each plant’s POWO native-country range.

The cohort rule is reproducible: the ten profiles with the highest median coldest-month temperature in the current 20-plant dataset. Every profile keeps its own native occurrence count, geographic coverage, and confidence visible. No unrelated location is used as a substitute for species-specific evidence.

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Compare the 10 Climate DNA profiles

Plant and accepted taxon Coldest-month median Annual rain median Evidence coverage
Golden Pothos
Epipremnum aureum
24.1°C 2525 mm 6 native points · 6 grid cells · low confidence
Fiddle Leaf Fig
Ficus lyrata
22.1°C 1334 mm 30 native points · 26 grid cells · medium confidence
Satin Pothos
Scindapsus pictus
21.5°C 3169 mm 30 native points · 28 grid cells · medium confidence
Moon Orchid
Phalaenopsis amabilis
21.0°C 2624 mm 48 native points · 45 grid cells · medium confidence
Snake Plant
Dracaena trifasciata
20.4°C 1694 mm 29 native points · 26 grid cells · medium confidence
Monstera adansonii
Monstera adansonii
20.1°C 2104 mm 1332 native points · 865 grid cells · high confidence
Heartleaf Philodendron
Philodendron hederaceum
19.2°C 2270 mm 783 native points · 531 grid cells · high confidence
Calathea Orbifolia
Goeppertia orbifolia
19.0°C 1626 mm 12 native points · 11 grid cells · low confidence
Corn Plant Dracaena
Dracaena fragrans
16.8°C 1620 mm 30 native points · 29 grid cells · medium confidence
Peace Lily
Spathiphyllum wallisii
15.7°C 2327 mm 10 native points · 8 grid cells · low confidence

Every linked page includes p10, p25, median, p75, and p90 for seven native-record variables; an auto-zoomed occurrence-footprint visualization; raw and retained record counts; computed observations; confidence; methodology; and source versions. A limited spatial sample is not a negative care judgment. It remains visible so readers can distinguish strong geographic coverage from a narrow record footprint.

How to read the comparison

Start with the coldest-month median only as the cohort divider, then open a profile and read the full envelope. Two species can share a similar median while differing sharply in rainfall volume, precipitation seasonality, geographic spread, or sample confidence. The p10–p90 span shows broad variation; the p25–p75 band shows the central half of sampled values.

The annual-rain column also needs context. A high total does not reveal whether rainfall is even through the year or concentrated in a wet season, and outdoor rainfall is never a pot-watering schedule. The individual pages retain precipitation seasonality precisely so the total is not misread.

For practical indoor context, use the indoor plant care guide, compare the best tropical plants for real rooms, or review how humidity affects indoor plants. Continue through the other Climate DNA collections: Seasonal-Climate Plant DNA: 10 Habitat Profiles, Popular Houseplant Climate DNA: 10 More Native Profiles.

How evidence strength differs

Programmatic publishing should not turn incomplete data into false authority. Some species have broad, well-distributed GBIF coverage; others are represented by a narrower set after native-range, coordinate, establishment, record-type, duplication, and license filters. The individual pages preserve that difference through the native sample count, geographic-cell count, and confidence score.

Pages pass the publication gate only when their own retained sample and geographic-cell count meet the declared minimums and all seven CHELSA distributions and source links are present. No external benchmark can raise a weak plant sample over that gate.

Methodology and sources
  • Taxonomy is normalized through the GBIF Species API; native distributions come from Plants of the World Online.
  • GBIF occurrences are constrained to native countries and filtered for coordinate validity, uncertainty, record type, detectable cultivation or introduction, duplicates, and CC0/CC-BY licensing.
  • CHELSA-climatologies V2.1 (1981-2010) is sampled at retained coordinates.
  • The renderer uses deterministic p10, p25, median, p75, and p90 values. It does not invent measurements or convert outdoor climate into indoor setpoints.
  • Every profile stores the occurrence-record hash, ArticleFacts hash, source URLs, confidence, and generated date.

Use the profiles as evidence, not a schedule

The useful next step is to compare a species-level profile with the plant and room you actually have. Identify the accepted species, inspect light and root-zone moisture directly, and treat native-record climate as context for better questions—not as an instruction to recreate annual rainfall indoors.