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Précision de l'échantillonnage du stock semender: combien de prélèvements de sol?
Author(s) -
DESSAINT F.,
BARRALIS G.,
CAIXINHAS M.L.,
MAYOR J.P.,
RECASENS J.,
ZANIN G.
Publication year - 1996
Publication title -
weed research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 74
eISSN - 1365-3180
pISSN - 0043-1737
DOI - 10.1111/j.1365-3180.1996.tb01810.x
Subject(s) - sampling (signal processing) , logarithm , variance (accounting) , statistics , weed , mathematics , abundance (ecology) , constant (computer programming) , soil science , environmental science , agronomy , ecology , biology , mathematical analysis , physics , computer science , accounting , business , detector , optics , programming language
Summary A prerequisite for a precise estimate of the abundance of weed seeds in sou is prior knowledge of sampling variability, Based on an analysis of EWRS working group trials, it is shown that the sampling variance (s 2 ) of seed counts increases with the sampling mean (S 2 ) and can be predicted with the logarithmic form of Taylor's power law: log 10 (s z )=a+b log 10 (x̄). This relationship is constant over time for means greater than 0.1 seeds per core within each of the five different sites studied (temporal variability) but differs slightly among sites (geographical variability). An attempt is made to use a general s 2 : x̄ relationship to predict the number of samples as a function of precision and density.