Information Technology Reference
In-Depth Information
The models for each pest species or the temperature sum routine are accessed with tab
controls. Weather data input text files are selected in an "open file" dialog. Check boxes
allow to choose the output in numerical and/or graphical form. On base of the chosen local
weather data, relative age structure of fruit pest populations is simulated and crucial events
for management activities are predicted on that basis (Fig. 6). For the latter the model output
is automatically interpreted in a summary table which delivers short recommendations. The
decision support system on the internet platform gives even more detailed information and
- besides timing for optimum monitoring or treatment - also pre- or post warning times,
respectively (cf. below).
In the temperature sum routine, the user chooses air-, soil and/or stem temperature and
specifies up to three different thermal thresholds and the starting day for calculation within
the year. The latter also allows to calculate temperature sums from any biofix, e.g. beginning
of adult flight in the field. From the numerical outputs of single species models the relative
phenologies are saved and transferred to a data base for online presentation and decision
support as explained below.
Güttingen 440 m
Basel-Binningen
316 m
Reckenholz
443 m
St. Gallen
779 m
Buchs-
Aarau 387 m
Wädenswil
463 m
Vaduz 460 m
Bern 553 m
Chur 555 m
Payerne
490 m
Changins
430 m
Aigle 381 m
Sion 482 m
Magadino 203 m
Fig. 7. Weather stations, altitude, and climatic regions that the stations are representing.
4. Weather data for simulating pest phenology
Local weather data on hourly basis (solar radiation flux density, air temperature at 2 m, soil
temperature at -5 cm) are retrieved from official standard meteorological stations
(MeteoSwiss) and automatically stored daily in the morning in the weather database. Ten-
years means on hourly basis serve for projection and are merged with the current weather
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