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Table 6 Potential predictors that were tested during variable selection, X is the year of data collection, (X–1) is the previous year

From: Modelling the population fluctuation of winter moth and mottled umber moth in central and northern Germany

Variable Description
tmean_egg_winter1 mean of daily mean temperature for period 15.10.–31.12. (X–1)
tmin_min_egg_winter1 minimum of daily minimum temperature for period 15.10.–31.12. (X–1)
rain_egg_winter1 mean daily precipitation for period 15.10.–31.12. (X–1)
frost.mean_egg_winter1 amount of frost days (daily mean temp. Below 0 °C) for period 15.10.–31.12. (X–1)
frost.min_egg_winter1 amount of frost days (daily minimum temp. Below 0 °C) for period 15.10.–31.12. (X–1)
tmean_egg_winter2 mean of daily mean temperature for period 01.01.–28.02. X
tmin_min_egg_winter2 minimum of daily minimum temperature for period 01.01.–28.02. X
rain_egg_winter2 mean daily precipitation for period 01.01.–28.02. X
frost.mean_egg_winter2 amount of frost days (daily mean temp. < 0 °C) for period 01.01.–28.02. X
frost.min_egg_winter2 amount of frost days (daily minimum temp. < 0 °C) for period 01.01.–28.02. X
tmean_egg_spring mean of daily mean temperature for period 01.03.–14.04. X
tmin_min_egg_spring minimum of daily minimum temperature for period 01.03.–14.04. X
rain_egg_spring mean daily precipitation for period 01.03.–14.04. X
frost.mean_egg_spring amount of frost days (daily mean temp. < 0 °C) for period 01.03.–14.04. X
frost.min_egg_spring amount of frost days (daily minimum temp. <  0 °C) for period 01.03.–14.04. X
tmean_egg mean of daily mean temperature for period 15.10.(X–1)–14.04. X
tmean_egg_late mean of daily mean temperature for period 01.01.–14.04. X
rain_egg mean daily precipitation for period 15.10. (X–1)–14.04. X
frost.mean_egg amount of frost days (daily mean temp. < 0 °C) for period 15.10.(X–1)–14.04. X
frost.mean_winter amount of frost days (daily mean temp. < 0 °C) for period 15.10. (X–1)–28.02. X
frost.min_winter amount of frost days (daily mean temp. < 0 °C) for period 15.10.(X–1)–28.02.X
tmean_earlylarva mean of daily mean temperature for period 15.04.–14.05. X
tmean_latelarva mean of daily mean temperature for period 15.05.–14.06. X
tmin_min_earlylarva minimum of daily minimum temperature for period 15.04.–14.05. X
tmin_min_latelarva minimum of daily minimum temperature for period 15.05.–14.06. X
tmean_larva mean of daily mean temperature for period 15.04.–14.06. X
tmin_min_larva minimum of daily minimum temperature for period 15.04.–14.06. X
rain_mean_earlylarva mean daily precipitation for period 15.04.–14.05. X
rain_mean_latelarva mean daily precipitation for period 15.05.–14.06. X
rain_max_earlylarva max. Daily precipitation for period 15.04.–14.05. X
rain_max_latelarva max. Daily precipitation for period 15.05.–14.06. X
tmean_pupa1 mean of daily mean temperature for period 01.06.–31.08. X
rain_mean_pupa1 mean daily precipitation for period 01.06.–31.08. X
tmean_pupa2 mean of daily mean temperature for period 01.09.–14.10. X
rain_mean_pupa2 mean daily precipitation for period 01.09.–14.10. X
rain_mean_pupa mean daily precipitation for period 01.06.–14.10. X
tmean_imago mean of daily mean temperature for period 15.10.–14.12. X
tmin_imago mean of daily minimum temperature for period 15.10.–14.12. X
rain_mean_imago mean daily precipitation for period 15.10.–14.12. X
frost.min_imago amount of frost days (daily minimum temp. < 0 °C) for period 15.10.–14.12. X
tmean_april mean of daily mean temp. For period 01.04.–30.04. X
tmin_min_april minimum of daily minimum temperature for period 01.04.–30.04. X
tmin_april mean of daily minimum temperature for period 01.04.–30.04. X
veg_start start of vegetation period for Quercus robur following the algorithm described by Menzel (1997)
latefrost latest day in spring/summer when daily minimum temperature lies below 0 °C
april_warm amount of days in April where the daily mean temperature is ≥10 °C
oak_perc oak proportion (in percent)
age stand age
stocking ratio of absolute stand density to a reference level from yield table
nutrient level five categories from 1 to 5 (poor to rich), unitized employing the synopsis by (Schmidt et al. 2015)
dist distant to coast (in m)
aspect calculated aspect of the stand in degree
dgm25 altitude in m a.s.l.
diurnal_anisotropic_heating diurnal heat balance as influenced by topography (Böhner and Antonić 2009)
general_curvature rate of change of slope (Zevenbergen and Thorne 1987b)
slope slope in degree
pestcontrol binomial distributed categorical variable indicating whether pest control