Open Journal of Forestry

Open Journal of Forestry

ISSN Print: 2163-0429
ISSN Online: 2163-0437
www.scirp.org/journal/ojf
E-mail: ojf@scirp.org
"Estimation of Tree Biomass, Carbon Stocks, and Error Propagation in Mecrusse Woodlands"
written by Tarquinio Mateus Magalhães, Thomas Seifert,
published by Open Journal of Forestry, Vol.5 No.4, 2015
has been cited by the following article(s):
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[15] Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures
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[16] Greyscale-density calibration of an industrial CT scanner for wood microdensitometry
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[17] Decision-support tool for management of miombo woodlands: a matrix model approach
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[18] Allometric models for height and aboveground biomass of dominant tree species in South African Mistbelt forests
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[19] Potentials and wood fuel quality of logging residues from indigenous and planted forests in Mozambique
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[20] Decision-support tool for management of miombo woodlands-a matrix model approach
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[21] Estimation of tree biomass, measurement uncertainties, and morphological topology of Androstachys Johnsonii prain
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[23] Assessment of above ground biomass with terrestrial lidar using 3D quantitative structure modelling in tropical rain forest of Ayer Hitam forest reserve, Malaysia
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[24] UNCERTAINTY IN ESTIMATING FOREST CARBON
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[26] Allometric equations for estimating belowground biomass of Androstachys johnsonii Prain
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[27] 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
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[28] Live above-and belowground biomass of a Mozambican evergreen forest: a comparison of estimates based on regression equations and biomass expansion factors
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[29] Live above-and belowground biomass of a Mozambican evergreen forest: a comparison of estimates based on regression equations and biomass expansion …
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[30] Live above-and belowground biomass of a Mozambican evergreen forest: a comparison of estimates based on regression equations and biomass expansion …
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