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Title:Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data
Authors:ID Škrk Dolar, Nina (Author)
ID Čufar, Katarina (Author)
ID Jevšenak, Jernej (Author)
Files:URL URL - Source URL, visit https://journals.uni-lj.si/les-wood/article/view/20109
 
.pdf PDF - Presentation file, download (2,41 MB)
MD5: 510F7D5B75DECC4C10872003DEC39F7B
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo SciVie - Slovenian Forestry Institute
Abstract: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.
Keywords:observational data, gridded data, tree rings, correlation analysis, dendroclimatology
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2024
Year of publishing:2024
Number of pages:str. 63-74
Numbering:Vol. 73, iss. 2
PID:20.500.12556/DiRROS-20956 New window
UDC:630*111:630*811.4=111
ISSN on article:2590-9932
DOI:10.26614/les-wood.2024.v73n02a06 New window
COBISS.SI-ID:218343427 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 10. 12. 2024;
Publication date in DiRROS:10.12.2024
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Downloads:33
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Record is a part of a journal

Title:Les
Publisher:Biotehniška fakulteta, Oddelek za lesarstvo, Biotehniška fakulteta, Oddelek za lesarstvo, Založba Univerze
ISSN:2590-9932
COBISS.SI-ID:290940672 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0015-2020
Name:Les in lignocelulozni kompoziti

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:MR
Name:Mladi raziskovalec
Acronym:MR

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0107-2020
Name:Gozdna biologija, ekologija in tehnologija

Licences

License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-sa/4.0/
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

Secondary language

Language:Slovenian
Title:Primerjava korelacij širin branik z dnevnimi in mesečnimi izmerjenimi in modeliranimi meteorološkimi podatki
Abstract: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.
Keywords:meteorološki podatki, modelirani podatki, branike, korelacijska analiza, dendroklimatologija


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