Evaluation of predictive models for Douglas-fir bark thickness at breast height following 12 biomass harvest treatments-Reference-Cited by-同舟云学术

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Evaluation of predictive models for Douglas-fir bark thickness at breast height following 12 biomass harvest treatments

Published:2016-01 Issue: Volume:84 Page:118-123
ISSN:0961-9534
Container-title:Biomass and Bioenergy
language:en
Short-container-title:Biomass and Bioenergy

Author:

Jang Woongsoon^ORCID,Keyes Christopher R.,Graham Jonathan M.

Funder

Agriculture and Food Research Initiative, Biomass Research and Development

National Institute of Food and Agriculture

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Agronomy and Crop Science,Renewable Energy, Sustainability and the Environment,Forestry

Reference38 articles.

1. Bark volume determination in trees;Meyer;J. For.,1946

2. Bark thickness and bark volume in southwestern oregon douglas-fir;Maguire;West J. Appl. For.,1990

3. Test of an Equation for Predicting Bark Thickness of Western Montana Species;Brickell,1970

4. Predicting Wood Volumes for Ponderosa Pine from outside Bark Measurements;Cochran,1976

5. Consequences of Biomass Harvesting on Forest Condition and Productivity in the Northern Rocky Mountains;Jang,2015

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1. Bark thickness models for oak forests being converted from coppice to high forests in Northwestern Turkey;Environmental Monitoring and Assessment;2021-10-17

2. Comparison of different approaches to estimate bark volume of industrial wood at disc and log scale;Scientific Reports;2021-08-02

3. Norway spruce bark thickness models based on log midspan diameter for use in mechanized forest harvesting in Czechia;Scandinavian Journal of Forest Research;2019-08-06

4. Modelagem da espessura e percentual de casca em árvores de Tectona grandis L.f;Scientia Forestalis;2019-03-29

5. Long-term ecosystem responses from the Coram woody biomass and residue utilization study;Forest Service Research Data Archive

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