Nondestructive, stereological estimation of canopy surface area

Research output: Contribution to journalJournal articlepeer-review

Standard

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 journalJournal articlepeer-review

Harvard

Wulfsohn, D-L, Sciortino, M, Aaslyng, JM & García-Fiñana, M 2010, 'Nondestructive, stereological estimation of canopy surface area', International Journal of Biometrics, vol. 66, no. 1, pp. 159-168. https://doi.org/10.1111/j.1541-0420.2009.01237.x

APA

Wulfsohn, D-L., Sciortino, M., Aaslyng, J. M., & García-Fiñana, M. (2010). Nondestructive, stereological estimation of canopy surface area. International Journal of Biometrics, 66(1), 159-168. https://doi.org/10.1111/j.1541-0420.2009.01237.x

Vancouver

Wulfsohn D-L, Sciortino M, Aaslyng JM, García-Fiñana M. Nondestructive, stereological estimation of canopy surface area. International Journal of Biometrics. 2010;66(1):159-168. https://doi.org/10.1111/j.1541-0420.2009.01237.x

Author

Wulfsohn, Dvora-Laio ; Sciortino, Marco ; Aaslyng, Jesper M. ; García-Fiñana, Marta. / Nondestructive, stereological estimation of canopy surface area. In: International Journal of Biometrics. 2010 ; Vol. 66, No. 1. pp. 159-168.

Bibtex

@article{b4064f803fb011de87b8000ea68e967b,
title = "Nondestructive, stereological estimation of canopy surface area",
abstract = "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.",
keywords = "BRIC, Chrysanthemum morifolium L, Coefficient of error, Fractionator, Nested cluster sampling, Point counting, Smooth fractionator, Stereology, Surface area, Systematic sampling, Variance prediction",
author = "Dvora-Laio Wulfsohn and Marco Sciortino and Aaslyng, {Jesper M.} and Marta Garc{\'i}a-Fi{\~n}ana",
year = "2010",
doi = "10.1111/j.1541-0420.2009.01237.x",
language = "English",
volume = "66",
pages = "159--168",
journal = "International Journal of Biometrics",
issn = "1755-8301",
publisher = "Inderscience Publishers",
number = "1",

}

RIS

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