New dendroclimatological research in oak, S (Quercus Frainetto Ten.) forestry in Šumadija-Region- (Central Serbia) as a basis for climate change monitoring

In this work present study to describe the survey of climatic change in case Šumadija-Central Serbia. Climate due a fragile ecosystem semi-arid, and arid region such as Serbia is one most challenging climatological hydrological problems. Dendrochronology, wich uses tree rings their exact year formation analyse temporal spatial patterns processes physical cultural sciences, can be used evaluate effects climate change. study, werw simulated using dendrochronology (tree rings) an artificial neural network (ANN) for period from 1900—2015. The was executed (Quercus frainetto Ten.). Tree width, temperature precipitation were input parameters outputs. After training process, model verified. verified simulate parameter changes during past times. results showed that integration dendroclimatology ANN renders high degree accuracy efficiency simulation area changed semiarid, arid, its annual decreased significantly.