Graph Theory Applicatio N for Investigating Agroecosystems Effected by Extrem Weather Conditions

Abstract

Abstract. An agro-ecosystem is directed by the interactions among the populations living in it and depending on many abiotic factors. It is needed to investigate as many factors as possible. People are also interested in the effects of predicted climate change, experienced climate variability and frequently present extremal weather conditions nowadays. Elements of the system have direct and indirect influence on each other. Indirect or hidden types of interactions can not be expressed as different kinds of material flow. It would be also nice to combine the optimalisation of the proficiency and environmental protection together with the forecast risk, damages and profit. When extending the already existing models, they become more complex and immense, so simulation and monitoring are not enough for examining and describing the whole interaction process. Application of graph theory -using well known graph theory theorems and having the help of computers -is especially powerful for controlling huge systems that are difficult to survey by other existing methods. Using informatics and electronics agricultural production can be controlled through a complex system, which integrates biological, technological and economical factors.

Correlation of precipitation distribution and quality sweet cherry production

“…Average water supply indicators for different growing periods have been calculated for every year. Result is the K1 risk factor, which shows the being of permanent and well balanced precipitation between April and June (Ladányi, 2008;Erdélyi, 2006).…”