Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data
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...
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| Format: | Article |
| Language: | English |
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University of Ljubljana Press (Založba Univerze v Ljubljani)
2024-12-01
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| Series: | Les |
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| Online Access: | https://journals.uni-lj.si/les-wood/article/view/20109 |
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| author | Nina Škrk Dolar Katarina Čufar Jernej Jevšenak |
| author_facet | Nina Škrk Dolar Katarina Čufar Jernej Jevšenak |
| author_sort | Nina Škrk Dolar |
| collection | DOAJ |
| description |
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.
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| format | Article |
| id | doaj-art-c36995e2981c425eb8429b2799f6f476 |
| institution | Kabale University |
| issn | 0024-1067 2590-9932 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | University of Ljubljana Press (Založba Univerze v Ljubljani) |
| record_format | Article |
| series | Les |
| spelling | doaj-art-c36995e2981c425eb8429b2799f6f4762025-02-06T15:18:57ZengUniversity of Ljubljana Press (Založba Univerze v Ljubljani)Les0024-10672590-99322024-12-0173210.26614/les-wood.2024.v73n02a06Assessing climate-growth relationships with daily and monthly observational and gridded meteorological dataNina Škrk DolarKatarina ČufarJernej Jevšenak 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. https://journals.uni-lj.si/les-wood/article/view/20109observational datagridded datatree ringscorrelation analysisdendroclimatology |
| spellingShingle | Nina Škrk Dolar Katarina Čufar Jernej Jevšenak Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data Les observational data gridded data tree rings correlation analysis dendroclimatology |
| title | Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data |
| title_full | Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data |
| title_fullStr | Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data |
| title_full_unstemmed | Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data |
| title_short | Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data |
| title_sort | assessing climate growth relationships with daily and monthly observational and gridded meteorological data |
| topic | observational data gridded data tree rings correlation analysis dendroclimatology |
| url | https://journals.uni-lj.si/les-wood/article/view/20109 |
| work_keys_str_mv | AT ninaskrkdolar assessingclimategrowthrelationshipswithdailyandmonthlyobservationalandgriddedmeteorologicaldata AT katarinacufar assessingclimategrowthrelationshipswithdailyandmonthlyobservationalandgriddedmeteorologicaldata AT jernejjevsenak assessingclimategrowthrelationshipswithdailyandmonthlyobservationalandgriddedmeteorologicaldata |