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Abstract
It is undeniable that the global warming has
already affected the Earth’s biota, whereby the rise of air
temperature is an important factor. Agricultural systems are
also affected by climate change via the interrelated biophysical
layers. Climate influences farmers` decisions in crop
management. To simulate the interactions between
climate/weather and the different crop management activities
an agent based modelling approach is used, in which farmers`
decision making is based on crop requirements from literature.
To validate these decision algorithms on how farmers arrange
their daily crop management decisions like planting,
fertilizing, and harvesting due to changes of climate
parameters, a statistical analysis of empirical data (1970-2003)
on temperature and different crop growth stages, which
represent different management activities, was carried out.
Results show that every crop has to be considered separately
and the requirements of the different crops on temperature
have to be observed in different ways. There are crops which
have a low germination temperature, for those the average
daily temperature shows no relation with the planting day. In
this case the temperature sum in a specific period is more
precise. On the opposite side crops with a high germination
temperature show significant correlation results with the
average daily temperature of a period before the planting day.