2015
DOI: 10.1515/intag-2015-0021
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Multi-trait Analysis of Agroclimate Variations During the Growing Season in East-Central Poland (1971-2005)

Abstract: Moreover, principal component analysis was conducted to indicate elements that exerted the greatest influence on the agroclimate. Also, cluster analysis was carried out to select stations with similar agroclimate. Ward method was used for clustering and the Euclidean distance was applied. Principal component analysis revealed that the agroclimate of east-central Poland was predominantly affected by climatic water balance, number of days of active plant growth, length of the farming period, and the average air … Show more

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Cited by 6 publications
(4 citation statements)
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“…; GPS 50°18'24"N, 16°21'07"E). In order to analyse the effect of overall meteorological conditions on growth, Sielianinov hydrothermal coefficient (K) was used (Radzka & Rymuza, 2015). Statistical analyses were processed in the Statistica 12 software (StatSoft, Tulsa).…”
Section: Discussionmentioning
confidence: 99%
“…; GPS 50°18'24"N, 16°21'07"E). In order to analyse the effect of overall meteorological conditions on growth, Sielianinov hydrothermal coefficient (K) was used (Radzka & Rymuza, 2015). Statistical analyses were processed in the Statistica 12 software (StatSoft, Tulsa).…”
Section: Discussionmentioning
confidence: 99%
“…In order to analyze the effect of overall meteorological conditions on the growth, Sielianinov hydrothermal coefficient (K) was used (Radzka & Rymuza, 2015). To determine the combined effect of average annual temperature and an annual sum of precipitation on diameter increment of pine, correlation quadratic model was used.…”
Section: Data Processingmentioning
confidence: 99%
“…To express the relationship between climate characteristics (monthly average temperatures and sum of precipitation in particular years) and radial increment the DendroClim software was used (Biondi & Waikul 2004). To analyse the effect of overall meteorological conditions on radial growth, Sielianinov hydrothermal coefficient (K; share of monthly sum of precipitation and average air temperatures) was used (Radzka & Rymuza 2015). To determine the combined effect of average annual temperature and annual sum of precipitation on diameter increment of spruce, regression quadratic model was used.…”
Section: Discussionmentioning
confidence: 99%