The quality-filtered native-record profile for Monstera adansonii centers on 24.8°C annual mean temperature and 2104 mm annual precipitation. Its robust p10–p90 climate envelope is wider than those two medians: the coldest-month minimum spans 14.3–23.4°C, while modeled annual rainfall spans 1273–3801 mm.

This is a computed environmental fingerprint built from 1332 spatially thinned climate points attached to filtered GBIF records inside the POWO native range of tropical America. It describes where retained records occur in long-term gridded climate; it is not an indoor-care prescription or a physiological tolerance test.

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Monstera adansonii Climate DNA at a glance

Signal Computed result
Annual mean temperature median 24.8°C
Coldest-month minimum, p10–p90 14.3–23.4°C
Warmest-month maximum, p10–p90 26.5–32.5°C
Annual precipitation median 2104 mm
Precipitation seasonality median 53.7 CV
Evidence 1332 climate points; high confidence (83/100)

The source plant is described as a wet-tropical climber. That botanical context matters because the same regional rainfall, humidity, or radiation can be experienced very differently by a climber, epiphyte, geophyte, tree, or succulent. The page therefore reports the climate evidence without turning it into a universal potting or watering formula.

Monstera adansonii Climate DNA percentile ranges Five occurrence-derived climate distributions. Thin lines show p10 to p90, thick green bars show p25 to p75, and dots show medians. Annual mean temperature20.7°Cmedian 24.8°C26.4°CColdest-month minimum14.3°Cmedian 20.1°C23.4°CWarmest-month maximum26.5°Cmedian 29.6°C32.5°CAnnual precipitation1273 mmmedian 2104 mm3801 mmPrecipitation seasonality27.0 CVmedian 53.7 CV72.6 CV
Thin line: p10–p90. Thick bar: middle 50% (p25–p75). Dot: median. Each row uses its own scale.

What stands out in the computed profile

  • Temperature center: The annual-mean median is 24.8°C, with the middle 50% of sampled points between 22.8 and 25.8°C. In this model that is a warm annual baseline.
  • Cold and heat edges: The robust outer envelope runs from 14.3°C at the p10 coldest-month minimum to 32.5°C at the p90 warmest-month maximum. The 18.2°C span is moderate; it is an occurrence-climate span, not a laboratory tolerance range.
  • Rainfall volume: Median modeled annual precipitation is 2104 mm, while the p10–p90 range is 1273–3801 mm. The wet end is 3.0 times the dry end, evidence that one annual total would hide real geographic variation.
  • Rainfall timing: The precipitation-seasonality median is 53.7 CV, placing this record set in the seasonal band used by this renderer. That describes variation through the year, not how often to water a pot.
  • Atmosphere and open sky: Relative humidity centers on 66.3%, while solar radiation centers on 17.3 MJ/m²/day. Both are gridded outdoor climate values; neither reports the humidity or light at an indoor leaf.

Together, those observations describe the climate attached to retained records of Monstera adansonii. They do not establish the species’ physiological limits, and they should not be converted directly into thermostat, humidifier, or watering targets.

Native-record climate envelope

Variable p10 p25 Median p75 p90
Annual mean temperature 20.7°C 22.8°C 24.8°C 25.8°C 26.4°C
Coldest-month minimum 14.3°C 17.3°C 20.1°C 22.1°C 23.4°C
Warmest-month maximum 26.5°C 28.0°C 29.6°C 31.1°C 32.5°C
Annual precipitation 1273 mm 1615 mm 2104 mm 2965 mm 3801 mm
Precipitation seasonality 27.0 CV 40.8 CV 53.7 CV 63.0 CV 72.6 CV
Relative humidity 62.4% 64.2% 66.3% 68.5% 71.0%
Solar radiation 15.2 MJ/m²/day 16.4 MJ/m²/day 17.3 MJ/m²/day 18.3 MJ/m²/day 19.4 MJ/m²/day

The outer p10–p90 values are a robust descriptive envelope; the middle p25–p75 band shows where the central half of sampled climate values falls. Neither band is an “ideal range.” Occurrence density, collection effort, native-range boundaries, coordinate quality, and CHELSA grid resolution all shape what appears here.

A recent hourly reference: Canggu, Bali, 2015–2025

The same fixed reference is attached to every profile in this release: 96,432 complete hourly ERA5 rows for temperature, relative humidity, precipitation, and 10-meter wind at -8.65°, 115.13°. Using one place and one period makes cross-plant comparisons consistent. It does not claim that Canggu is native habitat for Monstera adansonii.

Signal Native p10 / median / p90 Canggu annual p10 / median / p90 Canggu minus native median Canggu median vs native envelope
Annual mean temperature 20.7 / 24.8 / 26.4°C 26.4 / 26.7 / 27.0°C +1.9°C outside
Annual precipitation 1273 / 2104 / 3801 mm 1236 / 1791 / 2409 mm -313 mm inside
Annual mean relative humidity 62.4 / 66.3 / 71.0% 86.0 / 86.3 / 86.8% +20.0% outside
Monstera adansonii native-record climate compared with the 2015–2025 Canggu reference Green ranges show the native-record p10 to p90 climate envelope. Orange ranges show the eleven annual Canggu ERA5 values, with a dot at each median. Annual mean temperaturenative median 24.8°CCanggu median 26.7°CAnnual precipitationnative median 2104 mmCanggu median 1791 mmAnnual mean humiditynative median 66.3%Canggu median 86.3%
Green: native-record CHELSA p10–p90. Orange: eleven annual Canggu ERA5 values, 2015–2025. Rows use independent scales.

Across the three comparable annual signals, the Canggu median falls inside 1 of 3 native-record p10–p90 envelopes. The Canggu archive’s annual median wind speed is 10.6 km/h; wind is reported as local context rather than matched to the CHELSA profile because the native data contract does not yet include a comparable wind variable.

The eleven annual values preserve year-to-year spread that a single climatological number would hide. Hourly values were aggregated into calendar years before annual percentiles were calculated. This recent reference is useful for comparing an outdoor place with the long-term native-record envelope, but neither layer should be translated directly into an indoor watering schedule.

Occurrence footprint and geographic coverage

Quality-filtered Monstera adansonii occurrence footprint Equirectangular world grid showing usable spatially thinned GBIF coordinates, deterministically sampled when the set is dense.
Usable native-country GBIF coordinates after spatial thinning. Dense sets are deterministically sampled for legibility; the CHELSA extraction sample is reported separately.

The CHELSA climate-extraction sample covers 865 quarter-degree grid cells across the native-country filter (BO, BR, CO, CR, EC, GF, GY, NI, PA, PE, SR, TT, VE). Its coordinate bounds run from -29.070° to 14.717° latitude and -87.175° to -34.866° longitude. Bounds show sampled coverage, not the legal or botanical outline of the species’ range.

Filtering stage Records
GBIF records returned before filters 5155
Accepted before spatial thinning 2963
Usable coordinates after spatial thinning 1332
CHELSA climate-extraction points 1332

Recorded rejection counts were basis of record: 57, coordinate uncertainty: 47, license: 2088. The pipeline also constrains records to the POWO native-country list, removes duplicate spatial cells, and retains the source timestamp and record-set hash. A low count can be scientifically honest: it is better to expose weak coverage than to fill the gap with invented precision.

How this profile compares inside its 10-plant cluster

Within this release cluster, Monstera adansonii ranks #6 of 10 for median coldest-month temperature, #5 for annual-mean temperature, #6 for annual precipitation, #5 for precipitation seasonality, and #1 for usable climate-point sample size. Ranks compare only the ten selected profiles and are descriptive, not measures of plant quality or indoor difficulty.

The closest profiles in the same normalized seven-variable comparison are:

The cluster was selected deterministically: the ten profiles with the highest median coldest-month temperature in the current 20-plant dataset. This keeps the collection rule reproducible and prevents an editorial label from overriding the data.

What this can—and cannot—change about care

Native-record climate can improve the questions you ask. For Monstera adansonii, the wet rainfall median and seasonal precipitation signal indicate that annual rain volume alone is incomplete. Indoors, substrate structure, pot volume, root density, airflow, temperature, and actual light determine drying. Never convert millimeters of regional rainfall into a weekly watering interval.

The same limit applies to temperature, humidity, and solar radiation. CHELSA describes outdoor long-term grid cells; glass, walls, heating, air conditioning, shade, and distance from a window create a different microclimate. Use this profile to understand the source evidence and to frame observations, then use the Monstera adansonii care guide for practical indoor-care context.

Confidence and limits

Confidence is high (83/100). The score reflects sample size, spatial coverage, and coordinate-precision reporting in this pipeline version. It is not a probability that the numbers are “correct,” and it does not measure how well a particular plant will perform in a particular home.

Important limits remain: GBIF is a record of observations and specimens, not a balanced field survey; a native-country filter is coarser than a verified native-range polygon; historical and cultivated records can be difficult to classify; CHELSA values are modeled long-term normals rather than sensor readings at each plant. The page reports ranges and provenance so those constraints remain visible.

Methodology and sources
  1. Resolve the accepted taxon through the GBIF Species API and retain the taxon key 2868136.
  2. Constrain the occurrence query using the POWO native distribution: Tropical America.
  3. Filter GBIF occurrence records for usable coordinates, uncertainty, basis of record, establishment signals, duplicate locations, native countries, and compatible CC0/CC-BY licensing.
  4. Spatially thin accepted records at 0.05° before climate extraction so dense collecting areas do not dominate the distributions.
  5. Sample CHELSA-climatologies V2.1 1981-2010 grids using all spatially thinned records and calculate p10, p25, median, p75, and p90 deterministically.
  6. Fetch the fixed Open-Meteo Historical Weather API reference with ERA5 for 2015–2025, keep only complete rows, and aggregate hourly values into monthly and annual summaries. The stored series hash is e37928abf36266ca233a022a395523a2a52a994c6fff201cebbdfa2d296b7ef0.
  7. Persist source URLs, timestamps, rejection counts, record hash 71162d3a85225c425f4f83be0781b04da8638274e3c2c761d1d3b51a9382aa83, and fact hash 94d626418c29515cf568e8ce7bbf77bfb8b00c8ce702b9b6844f29e9ca6a432b.

Source licenses recorded by the pipeline: occurrences, CC-BY-4.0, CC0-1.0 on retained records; CHELSA climate layers, CC0-1.0; Open-Meteo reference data, CC-BY-4.0. Derived summaries and comparisons are transformations of the cited source data.

Continue from the data

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