Nondestructive, stereological estimation of canopy surface area
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Nondestructive, stereological estimation of canopy surface area. / Wulfsohn, Dvora-Laio; Sciortino, Marco; Aaslyng, Jesper M.; García-Fiñana, Marta.
In: International Journal of Biometrics, Vol. 66, No. 1, 2010, p. 159-168.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Nondestructive, stereological estimation of canopy surface area
AU - Wulfsohn, Dvora-Laio
AU - Sciortino, Marco
AU - Aaslyng, Jesper M.
AU - García-Fiñana, Marta
PY - 2010
Y1 - 2010
N2 - We describe a stereological procedure to estimate the total leaf surface area of a plant canopy in vivo, and address the problem of how to predict the variance of the corresponding estimator. The procedure involves three nested systematic uniform random sampling stages: (i) selection of plants from a canopy using the smooth fractionator, (ii) sampling of leaves from the selected plants using the fractionator, and (iii) area estimation of the sampled leaves using point counting. We apply this procedure to estimate the total area of a chrysanthemum (Chrysanthemum morifolium L.) canopy and evaluate both the time required and the precision of the estimator. Furthermore, we compare the precision of point counting for three different grid intensities with that of several standard leaf area measurement techniques. Results showed that the precision of the plant leaf area estimator based on point counting is high. Using a grid intensity of 1.76 cm2/point we estimated plant and canopy surface areas with accuracies similar to or better than those obtained using image analysis and a commercial leaf area meter. For canopy surface areas of approximately 1 m2 (10 plants), the fractionator leaf approach with sampling fraction equal to 1/9 followed by point counting using a 4.3 cm2/point grid produced a coefficient of error of less than 7%. The smooth fractionator can be used to ensure that the additional contribution to the estimator variance due to between-plant variability is small.
AB - We describe a stereological procedure to estimate the total leaf surface area of a plant canopy in vivo, and address the problem of how to predict the variance of the corresponding estimator. The procedure involves three nested systematic uniform random sampling stages: (i) selection of plants from a canopy using the smooth fractionator, (ii) sampling of leaves from the selected plants using the fractionator, and (iii) area estimation of the sampled leaves using point counting. We apply this procedure to estimate the total area of a chrysanthemum (Chrysanthemum morifolium L.) canopy and evaluate both the time required and the precision of the estimator. Furthermore, we compare the precision of point counting for three different grid intensities with that of several standard leaf area measurement techniques. Results showed that the precision of the plant leaf area estimator based on point counting is high. Using a grid intensity of 1.76 cm2/point we estimated plant and canopy surface areas with accuracies similar to or better than those obtained using image analysis and a commercial leaf area meter. For canopy surface areas of approximately 1 m2 (10 plants), the fractionator leaf approach with sampling fraction equal to 1/9 followed by point counting using a 4.3 cm2/point grid produced a coefficient of error of less than 7%. The smooth fractionator can be used to ensure that the additional contribution to the estimator variance due to between-plant variability is small.
KW - BRIC
KW - Chrysanthemum morifolium L
KW - Coefficient of error
KW - Fractionator
KW - Nested cluster sampling
KW - Point counting
KW - Smooth fractionator
KW - Stereology
KW - Surface area
KW - Systematic sampling
KW - Variance prediction
U2 - 10.1111/j.1541-0420.2009.01237.x
DO - 10.1111/j.1541-0420.2009.01237.x
M3 - Journal article
C2 - 19397587
VL - 66
SP - 159
EP - 168
JO - International Journal of Biometrics
JF - International Journal of Biometrics
SN - 1755-8301
IS - 1
ER -
ID: 12236230