Based on the selected upper boundary data of T which are at least one standard deviation larger than the mean T within each PET interval (0–1, 1–2, ..., 4–5 mm·day −1 ), a regression analysis yielded a highly significant quadratic relation as below, which can explain a high proportion of the T variance (n = 10, R 2 = 0.965): 1 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \s
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Response of the daily transpiration of a larch plantation to variation in potential evaporation, leaf area index and soil moisture.
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