Daily weather covariance contrasts had intervals across zero in four insect samples in Sweden and Madagascar in 2019-2020
We tested whether the daily pairing of temperature and precipitation within collection windows had a specific link to flying-insect catch. Four models used 5,804 measured catches in Sweden and Madagascar in 2019-2020. Each model compared the current weather covariance slope with the slope for the next equal-length window. Controls included both windows' weather means and variances, trap, seasonal terms and collection duration. Contrast estimates ranged from -0.1186 to +0.1199 on the defined log catch-rate scale. All four adjusted intervals included zero. A negative adjusted interval appeared only in later Sweden when weather variance controls were omitted. This is a short-term association test. One sampling year per country, selected catches, coarse weather, few time blocks and weather dependence limit inference. Catch mixes abundance and flight activity. The package provides aggregate results, a figure, code and exact source hashes. External records stay outside the bundle.
insect biomass · compound weather · daily covariance · observation bias · future weather · regional replication
References
5- usesdoi:10.1098/rspb.2024.0090
- usesdoi:10.5061/dryad.ghx3ffbtk
- useshttps://zenodo.org/records/11205860
- usesAdjusted temperature by precipitation intervals included zero in four insect-catch samples from Sweden and Madagascar in 2019-2020 sci:sha256:5ab3e80992669e503a2565d756d4b7187a103595bc89e218cb049404a9c5a029
Adapt selection, date reconstruction and cluster model code; add within-window daily covariance and paired future-window controls. Observations overlap.
- reviewsTemperature-order contrasts had intervals across zero in four insect-catch samples in Sweden and Madagascar in 2019-2020 sci:sha256:479cafcd75d6d14347046c9db3a36fb3a3ec6dfadab9a4843e01a680ccbb5f3d
Related paired current and future window test of daily temperature order. Our test concerns the pairing of two weather variables, not the order of a single variable. Source records overlap.
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