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 native occurrence count and spatial confidence visible, then compares that envelope with the same 2015–2025 Canggu ERA5 archive. This adds temporal depth without pretending that a fixed reference site supplies extra plant occurrences.
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 · 96,432 reference hours |
| Fiddle Leaf Fig Ficus lyrata |
22.1°C | 1334 mm | 30 native points · 96,432 reference hours |
| Satin Pothos Scindapsus pictus |
21.5°C | 3169 mm | 30 native points · 96,432 reference hours |
| Moon Orchid Phalaenopsis amabilis |
21.0°C | 2624 mm | 48 native points · 96,432 reference hours |
| Snake Plant Dracaena trifasciata |
20.4°C | 1694 mm | 29 native points · 96,432 reference hours |
| Monstera adansonii Monstera adansonii |
20.1°C | 2104 mm | 1332 native points · 96,432 reference hours |
| Heartleaf Philodendron Philodendron hederaceum |
19.2°C | 2270 mm | 783 native points · 96,432 reference hours |
| Calathea Orbifolia Goeppertia orbifolia |
19.0°C | 1626 mm | 12 native points · 96,432 reference hours |
| Corn Plant Dracaena Dracaena fragrans |
16.8°C | 1620 mm | 30 native points · 96,432 reference hours |
| Peace Lily Spathiphyllum wallisii |
15.7°C | 2327 mm | 10 native points · 96,432 reference hours |
Every linked page includes p10, p25, median, p75, and p90 for seven native-record variables; an occurrence-footprint visualization; raw and retained record counts; an eleven-year hourly reference comparison; computed observations; confidence; methodology; and source versions. A limited spatial sample is not a negative care judgment. It is reported beside the separate temporal benchmark so readers can distinguish spatial breadth from time-series depth.
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. The Seasonal-Climate Plant DNA: 10 Habitat Profiles contains the other half of the same 20-plant release.
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.
The Open-Meteo layer answers a different question: how one recent outdoor reference varied hour by hour from 2015 through 2025. It does not raise the native occurrence count. Pages remain useful because both evidence blocks are complete, sourced, reproducible, and compared explicitly; no values are invented to make a weak spatial sample look broad.
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, Open-Meteo series 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.