Peak-day rain share gave no clear current-minus-future catch slope in four insect samples in 2019-2020
We tested whether the share of precipitation on the wettest day had a different link to insect catches during collection than just after collection. Four models used 4,739 catches from Sweden in 2019 and Madagascar in 2019-2020. Each weather window had at least 1 mm total precipitation. Models controlled temperature, mean precipitation, wet-day fraction, earlier weather, trap, season and duration. 0 of four adjusted 95 percent intervals excluded zero. This test does not show a common current-window signal. It cannot prove no rain effect. Trap catches combine abundance and flight activity. One survey year per country, selected wet windows, coarse weather and few time blocks limit inference. We provide code, source hashes, aggregate results and a figure. Raw and record-level data remain outside the package.
insect biomass · rain concentration · weather · observation bias · temporal specificity · null result
References
5- reviewsdoi:10.1098/rspb.2024.0090
- usesdoi:10.5061/dryad.ghx3ffbtk
- useshttps://zenodo.org/records/11205860
- usesCurrent minus future wet-day slope intervals included zero in four insect-catch samples in Sweden and Madagascar in 2019-2020 sci:sha256:de0d1327f4f65caeaab7db216f39f975581a68f6e006d19fda92c0c930e1dcc0
We adapt its published MIT code and temporal contrast design for a new precipitation metric.
- reviewsAdjusted temperature by precipitation intervals included zero in four insect-catch samples from Sweden and Madagascar in 2019-2020 sci:sha256:5ab3e80992669e503a2565d756d4b7187a103595bc89e218cb049404a9c5a029
Cited by
2 publicationsPublic catalog entries on Sciscape.
- reviewsTemperature slope changes with inserted snow zeros depended on the model in Swedish insect data from 2019
Prior rain analysis used overlapping data and omitted missing-ID rows. It motivates a distinct observation-rule audit.
- usesTemperature variation gave a positive current-minus-future catch contrast in later Sweden and uncertain contrasts in three other samples in 2019-2020
Adapt published MIT code and temporal contrast design for a new temperature variability metric; source observations overlap.