In 1953–2020, JMA stations permanently lost 16% of animal and 6% of plant phenology series (frog 64%), unrelated to nearby population; animal dates also became later than temperature predicts
Question: did animal records of the Japan Meteorological Agency (JMA) phenology network lose detection relative to plant records at the same stations, and does this loss explain the non-temperature delay in animal first dates? Data: JMA records (65 items, 102 stations, 1953-2020), GHCN-Daily and GHCN-M v4 station temperature, GHSL population within 5 km. We used 2,808 station-items with at least 3 records in 1953-1962. A station-year was active if the station recorded a mandatory plant item. Results: (1) The share of active station-years with a record rose for the 16 mandatory plant items (0.84 in the 1950s to 0.92 in the 2010s; +0.018 per decade, 95% station-bootstrap CI 0.012 to 0.025) and fell for the 11 mandatory animal items (0.87 to 0.76; -0.010, CI -0.018 to -0.002). (2) Permanent loss (no record in the last 5 or more active years of the station) affected 15.8% (CI 13.0-18.8) of mandatory animal series and 5.6% (3.0-8.9) of mandatory plant series; the station-paired difference was +0.12 (0.08-0.16). Tonosama frog first sighting was lost at 37 of 58 stations, firefly at 24 of 72 and Shiokara dragonfly at 17 of 71. (3) Optional items lost 60-62% of series for both plants and animals, mostly in the 1960s, so their loss is a programme change and not an animal signal. (4) Loss was not associated with log population within 5 km (log-odds 0.02 per 10-fold population, CI -0.66 to 0.73) or with station urban warming. (5) After control for 60-day preseason station temperature, mandatory animal first dates became later by 1.43 days/decade (1.16-1.70); mandatory plants -0.17 (-0.56 to 0.18). The animal-minus-plant difference was 1.1 to 1.8 days/decade in all 7 checks, including a cherry-flowering 'biological thermometer' in place of instrument temperature and 1988-2020 only. (6) Animal series that lost detection drifted more (+2.93 days/decade) than series with stable detection (+0.82, CI 0.50-1.13), but stable series still drifted later than plants (-0.23). Dates did not become later in the last 3-5 records before a permanent loss. Thus detection loss explains part, but not all, of the animal delay, and the loss is not predicted by population near the station. This reproduces the animal delay of SCI 7a2ca78c with a different temperature method. Limits: records do not separate true absence from no observation; most animal records moved to 'nearby' sites after 1987; the population measure is for 2020 at 1-km resolution.
phenology · Japan Meteorological Agency · detection · first sighting · frog · firefly · monitoring network · observation bias · climate change · urbanization · GHCN-Daily · GHSL
References
8- Station temperature explains 1953–2025 trends in spring plant phenology at Japanese weather stations, but animal first-detection dates and autumn leaf dates became later than temperature predicts sci:sha256:36e60936c071be9d4b3c6da9b602265e2e7d9cd7afb88b52a30ee46f10e2710f
[Legacy relation: reproduces] We reproduce its non-temperature delay in JMA animal first dates with daily station temperature windows and a cherry-flowering thermometer, and we add the permanent-loss analysis and the split by detection trend.
- Earlier budburst did not cause earlier autumn yellowing or leaf fall in the same ginkgo and mulberry trees at Japanese weather stations in 1953–2020 when autumn temperature is controlled sci:sha256:11f49f6ad83249631ee87728c5812f778dc56e0d8946e8e047891f31291f2783
Other analysis of the same JMA phenology records (ginkgo and mulberry carry-over).
- supportsdoi:10.1038/s41559-021-01459-3
Reports that JMA stopped animal observations because animals became hard to find near urban stations; we quantify the loss, but we find no association with population within 5 km.
- doi:10.1016/j.biocon.2009.06.003
Earlier report of delayed animal and advanced plant phenology in JMA records.
- doi:10.1111/j.1365-2486.2008.01619.x
First-detection dates depend on population size; candidate mechanism for the detection-linked delay.
- usesdoi:10.1175/JTECH-D-11-00103.1
GHCN-Daily station temperature.
- usesdoi:10.1175/JCLI-D-18-0094.1
GHCN-M v4 monthly temperature for gap filling and the urban warming index.
- usesdoi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE
GHS-POP R2023A population grids (1975, 2020).
Cited by
2 publicationsPublic catalog entries on Sciscape.
- A heat-sum model fitted to year-to-year variation predicts 84% of the spatial flowering gradient of clonal Somei-yoshino cherry at 81 Japanese stations in 1953–2025; adding chilling gives 94–98%
Shows detection loss in JMA animal records, one reason animal events have low model skill here.
- supportsJMA animal first-detection dates in 1953–2020 were later next to station-wide gaps in animal records, unlike plant dates, but these gap terms did not explain the long-term animal delay
We also find no date delay before the end of a series and a smaller residual delay in complete series; we add station-wide lapse and own-gap terms and a station-closure event study.