Atmosphere · 2021 · 30 citations · 48 references
Natural ResourcesEcologyPlant SciencesClimate ScienceClimatologyForest InventoryClimate AnalysisForest GrowthForest StructureGrowth MeasurementSeasonal Growth PatternsTree MeasurementChron CoresChronology ConstructionClimate Response ModelingPlant-climate RelationshipsTree Growth AnalysisTree Growth MeasurementTree Growth MonitoringTree Ring Growth Analysis
Research Highlights: This study used a 99-year time-series of daily climatic data to determine the climate-growth relationship for Scots Pine (Pinus sylvestris L.) growing in Northern Poland. The use of daily climatic data improved the calculated climatic response of the trees. Background and Objectives: It was hypothesised that daily temperature and precipitation data would more precisely identify climate–growth relationships than monthly data. We compared our results to a previous study conducted in the 1990s that utilised monthly precipitation and temperature data. Materials and Methods: The chronology construction and data analyses were performed using CooRecorder, CDendro and R packages (dplR, treeclim, dendrotools). Forty-nine cores from 31 trees were included in the final chronology. Results: The precipitation and temperature of March had the strongest influence upon ring-widths. Despite a statistically significant correlation between monthly temperature and ring-widths, reduction of error (RE) and coefficient of efficiency (CE) statistics confirmed that daily data better describe the effect of climate on tree rings width than monthly data. Conclusions: At this site, the growing season of Scots pine has changed with the observed association with precipitation now starting as early as February–March and extending to June–July.
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A dendrochronology program library in R (dplR)
Andrew G. Bunn · Dendrochronologia · 2008 · 2K citations