Frequently, biomass expansion factors (BEFs), the respective biomass densities, and their uncertainties are computed without taking into account the appropriate estimators. The objective of this study was to compare the estimates of BEF, BEF-based biomass densities, and their uncertainties using different estimators (mean-of-ratios, ratio-of-means, and regression estimators) in double sampling. Our results demonstrated that increased uncertainty is associated with regression-based biomass densities, and that the computation of BEF using merchantable timber volume should utilize regression estimators, not the usual ratio estimators, which preferably, should be avoided altogether, as they are found to be subjective and more susceptible to errors and personal judgment.
| Published in | American Journal of Agriculture and Forestry (Volume 3, Issue 5) |
| DOI | 10.11648/j.ajaf.20150305.11 |
| Page(s) | 161-170 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Tree Component, Additivity, Belowground Biomass, Aboveground Biomass, Biomass Expansion Factor (BEF), Androstachys Johnsonii Prain
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APA Style
Tarquinio Mateus Magalhães, Thomas Seifert. (2015). Estimates of Tree Biomass, and Its Uncertainties Through Mean-of-Ratios, Ratio-of-Means, and Regression Estimators in Double Sampling: A Comparative Study of Mecrusse Woodlands. American Journal of Agriculture and Forestry, 3(5), 161-170. https://doi.org/10.11648/j.ajaf.20150305.11
ACS Style
Tarquinio Mateus Magalhães; Thomas Seifert. Estimates of Tree Biomass, and Its Uncertainties Through Mean-of-Ratios, Ratio-of-Means, and Regression Estimators in Double Sampling: A Comparative Study of Mecrusse Woodlands. Am. J. Agric. For. 2015, 3(5), 161-170. doi: 10.11648/j.ajaf.20150305.11
AMA Style
Tarquinio Mateus Magalhães, Thomas Seifert. Estimates of Tree Biomass, and Its Uncertainties Through Mean-of-Ratios, Ratio-of-Means, and Regression Estimators in Double Sampling: A Comparative Study of Mecrusse Woodlands. Am J Agric For. 2015;3(5):161-170. doi: 10.11648/j.ajaf.20150305.11
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Download@article{10.11648/j.ajaf.20150305.11,
author = {Tarquinio Mateus Magalhães and Thomas Seifert},
title = {Estimates of Tree Biomass, and Its Uncertainties Through Mean-of-Ratios, Ratio-of-Means, and Regression Estimators in Double Sampling: A Comparative Study of Mecrusse Woodlands},
journal = {American Journal of Agriculture and Forestry},
volume = {3},
number = {5},
pages = {161-170},
doi = {10.11648/j.ajaf.20150305.11},
url = {https://doi.org/10.11648/j.ajaf.20150305.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20150305.11},
abstract = {Frequently, biomass expansion factors (BEFs), the respective biomass densities, and their uncertainties are computed without taking into account the appropriate estimators. The objective of this study was to compare the estimates of BEF, BEF-based biomass densities, and their uncertainties using different estimators (mean-of-ratios, ratio-of-means, and regression estimators) in double sampling. Our results demonstrated that increased uncertainty is associated with regression-based biomass densities, and that the computation of BEF using merchantable timber volume should utilize regression estimators, not the usual ratio estimators, which preferably, should be avoided altogether, as they are found to be subjective and more susceptible to errors and personal judgment.},
year = {2015}
}
TY - JOUR T1 - Estimates of Tree Biomass, and Its Uncertainties Through Mean-of-Ratios, Ratio-of-Means, and Regression Estimators in Double Sampling: A Comparative Study of Mecrusse Woodlands AU - Tarquinio Mateus Magalhães AU - Thomas Seifert Y1 - 2015/07/29 PY - 2015 N1 - https://doi.org/10.11648/j.ajaf.20150305.11 DO - 10.11648/j.ajaf.20150305.11 T2 - American Journal of Agriculture and Forestry JF - American Journal of Agriculture and Forestry JO - American Journal of Agriculture and Forestry SP - 161 EP - 170 PB - Science Publishing Group SN - 2330-8591 UR - https://doi.org/10.11648/j.ajaf.20150305.11 AB - Frequently, biomass expansion factors (BEFs), the respective biomass densities, and their uncertainties are computed without taking into account the appropriate estimators. The objective of this study was to compare the estimates of BEF, BEF-based biomass densities, and their uncertainties using different estimators (mean-of-ratios, ratio-of-means, and regression estimators) in double sampling. Our results demonstrated that increased uncertainty is associated with regression-based biomass densities, and that the computation of BEF using merchantable timber volume should utilize regression estimators, not the usual ratio estimators, which preferably, should be avoided altogether, as they are found to be subjective and more susceptible to errors and personal judgment. VL - 3 IS - 5 ER -
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