20.500.12556/DiRROS-20956 Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data Primerjava korelacij širin branik z dnevnimi in mesečnimi izmerjenimi in modeliranimi meteorološkimi podatki We compared climate-growth relationships by correlating tree-ring variation with daily and monthly meteorological data obtained from the stations of the Slovenian Environment Agency (ARSO) and modelled data from the SLOCLIM database. Tree-ring width series for analyses were obtained from previously collected European beech (Fagus sylvatica) tree-ring data from 30 sites all over Slovenia. Climate-growth correlations were calculated to evaluate whether daily meteorological data exhibits stronger correlations than monthly data. We also compared the maximum correlation coefficients using meteorological station data and gridded SLOCLIM data. The analysis was conducted using the dendroTools R package, incorporating data on daily and monthly average air temperatures and precipitation sums from the period 1960–2018. Our findings revealed significantly higher maximum correlation coefficients for daily data compared to monthly data, underscoring the importance of using daily data, particularly for precipitation. However, no significant difference was observed between maximum correlation coefficients using the meteorological station and modelled data, and the difference did not change significantly with increasing altitude. V raziskavi smo primerjali korelacije med širinami branik in dnevnimi oziroma mesečnimi meteorološkimi podatki, pridobljenimi iz meteoroloških postaj (ARSO) ali iz modelirane baze SLOCLIM. Uporabili smo podatke o dnevnih in mesečnih povprečnih temperaturah zraka in vsotah padavin za obdobje 1960–2018. V analize smo vključili 30 kronologij širin branik navadne bukve (Fagus sylvatica) iz celotne Slovenije. Raziskali smo tudi, kako na korelacije vpliva uporaba podatkov iz meteoroloških postaj ali iz baze SLOCLIM. Naše ugotovitve so pokazale značilno višje maksimalne korelacijske koeficiente, ko smo uporabili dnevne meteorološke podatke, kot če smo uporabili mesečne. Glede na to je priporočljiva uporaba dnevnih podatkov v dendroklimatoloških analizah, zlasti pri padavinah. Pri primerjavi korelacij s podatki iz meteoroloških postaj in modeliranimi podatki nismo ugotovili statistično značilnih razlik. Razlike med uporabo dnevnih in mesečnih podatkov ter podatkov iz dveh baz se z nadmorsko višino rastišč bukve niso značilno spreminjale. observational data gridded data tree rings correlation analysis dendroclimatology meteorološki podatki modelirani podatki branike korelacijska analiza dendroklimatologija true false true Angleški jezik Slovenski jezik Neznano 2024-12-10 09:52:30 2024-12-10 09:52:30 2024-12-11 03:34:50 0000-00-00 00:00:00 2024 0 0 Nasl. z nasl. zaslona; Opis vira z dne 10. 12. 2024; str. 63-74 iss. 2 Vol. 73 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2024-01-01 630*111:630*811.4=111 2590-9932 10.26614/les-wood.2024.v73n02a06 218343427 https://journals.uni-lj.si/les-wood/article/view/20109 1 19294675-b6d4-11ef-ba3f-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=29639 RAZ_Skrk_Dolar_Nina_2024.pdf RAZ_Skrk_Dolar_Nina_2024.pdf 1 510F7D5B75DECC4C10872003DEC39F7B 2586ee560678bfb1d760c7e21d141376e3f3378540e1bd55b038bb822846e379 6cb8cada-b6d5-11ef-ba3f-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=29641 Gozdarski inštitut Slovenije 0 0 0