Improving phenological events identification in trees using manually measured dendrometer data: conventional approaches vs. the novel Two-Stage Threshold Approach
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1) Climate_2022_2024.xlsx Five columns:Date : date, in format %d-%m%-%YTempAvg.C : average daily temperature [°C]Precip.mm : daily precipitation sum [mm]PET.mm : daily Potential Evapotranspiration (Penman-Monteith method) [mm]CWB.mm : Climatic Water Balance [mm] = Precip.mm - PET.mm 2) Raw Data Dendrometers (Basal Area).xlsx Data sheet with tree sizes recorded by each date (every column), from which the cumulative basal area growth curves were derived, and finally, the phenological events (48 columns). TREE : A unique tree numberSP : Species of each treePLOT: A unique sample plot numberColumns 18.05.2022 - 28.08.2024 (45 columns) : basal area of each tree [mm^2], attained by a date = column name. 3) Phenol. Events Reference.xlsx Data sheet containing phenological events identified a vista (DOY - day of year),used as reference in the article (6 columns,). TREE : A unique tree number YEAR : Year during which the phenological events were recognized Growth_onset : Spring onset of growth Summer_cessation : Summer cessation of growth Autumn_onset : Autumn onset of growthYear_cessation : Cessation of the yearly growth. 4) 2STA_v.02_R R script, with the body of the function implementing 2STA method, as described in the article.



