2013
DOI: 10.3126/banko.v22i2.9194
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Growth and volume based on permanent sample plots in forests managed by communities

Abstract: In order to monitor the woody biomass yield 241 permanent sample plots wereestablished in four forests (total 2017 ha) across three physiographic regionsof Nepal. Tree species identification, tree positioning and diameter at breastheight (DBH) for all trees and height for a sample of trees were measured in2005 and 2010. Results presented are density and volume by forest, speciesand diameter class in 2010 and the species-wise increment between 2005and 2010 by forest. Standing volumes were between 134 and 311 m3… Show more

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Cited by 4 publications
(3 citation statements)
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“…It also has a strong correlation with other tree attributes, such as height, volume, and. Therefore, some studies also reported the diameter is the best variable to represent tree growth biomass (Puri et al, 2013;Lisboa et al, 2018;Abrantes et al, 2019). According to the results, the mean diameter of 25 sample trees was 16 cm with a minimum of 6.80 cm and a maximum of 25.89 cm (Table 1).…”
Section: Resultsmentioning
confidence: 98%
“…It also has a strong correlation with other tree attributes, such as height, volume, and. Therefore, some studies also reported the diameter is the best variable to represent tree growth biomass (Puri et al, 2013;Lisboa et al, 2018;Abrantes et al, 2019). According to the results, the mean diameter of 25 sample trees was 16 cm with a minimum of 6.80 cm and a maximum of 25.89 cm (Table 1).…”
Section: Resultsmentioning
confidence: 98%
“…Permanent plots were laid according to the stratified random sampling method described by Meilby et al [23] using the coffee-house approach suggested by Müller [33] where the first plot was selected randomly, and the successive plots were laid to maximize the minimum distance to neighbouring plots [34]. The inventory data were collected from 57 permanent plots, established by "The Community Based Natural Forest Management in the Himalaya (ComForM) project", jointly implemented by Institute of Forestry, Tribhuvan University, Department of Forest Research and Survey, Government of Nepal, and Danish Centre for Forest, Landscape and Planning, University of Copenhagen from 2003 to 2014.…”
Section: Data Collectionmentioning
confidence: 99%
“…The project had established 68 permanent plots in the community forest according to the principles of stratified random sampling described by Meilby et al, (2006) using coffee-house methods (Müller, 2001). The detailed process of plot establishment is also explained in Puri et al (2012). However, the study only considered 60 plots as 8 plots were permanently damaged because of the reason which is beyond the control of the CFUG.…”
Section: Methodsmentioning
confidence: 99%