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  1. KRISHI Publication and Data Inventory Repository
  2. Natural Resource Management A8
  3. ICAR-Indian Institute of Soil and Water Conservation M4
  4. NRM-IISWC-Publication
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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/36013
Title: Fractal Branching Model for Non-Destructive Biomass Estimation in Terminalia chebula and Emblica officinalis Agroforestry Plantations
Other Titles: Not Available
Authors: Pankaj Panwar
Sharmistha Pal
V. K. Bhatt,
Ram Prasad,
Rajesh Kaushal
N. M. Alam
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Indian Institute of Soil and Water Conservation
Published/ Complete Date: 2014-08-24
Project Code: Not Available
Keywords: Allometric equations, biomass, descriptive statistics, fractal branching analysis
Publisher: Not Available
Citation: Not Available
Series/Report no.: Not Available;
Abstract/Description: Fractal branching model is a non-destructive tool for biomass estimation. In the present paper we compared estimates of above ground tree biomass of Terminalia chebula and Emblica officinalis using usual method of biomass estimates and by employing Fractal Branching Analysis (FBA) model. Allometric equations were developed through FBA for above ground biomass of Terminalia chebula (B=0.1296D 2.0827), branch biomass (B=0.0103D 2.5388) and leaves+twig biomass (B=0.0529D 1.3269). Similarly, equations were developed for Embilica officinalis for above ground biomass (B=0.0655 D 2.4042), branch biomass (B=0.0007 D 3.35108) and for leaves+twig (B=0.0656 D 1.621) (where B is Biomass and D is diameter of tree at breast height). While comparing the biomass estimate of both the methods using different descriptive statistics it was found that biomass equations developed through FBA model can fairly estimate the biomass as Maximum Error (ME) values ranged from 0.1 to 0.385 in Terminalia and from 0.068 to 0.289 in Embilica. The Coefficient of Residual Mass (CRM) values for both the species were also less than and near to one signifying good prediction by the FBA model. The experiment also showed that the method is fairly accurate and estimation for large number of trees, with different diameters, can be generated through the model thus saving precious time and resources. Correspondence to
Description: Not Available
ISSN: Not Available
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: International Journal of Bioresource and Stress Management
NAAS Rating: 5.11
Volume No.: 5(3)
Page Number: 326-332
Name of the Division/Regional Station: Not Available
Source, DOI or any other URL: 10.5958/0976-4038.2014.00576.4
URI: http://krishi.icar.gov.in/jspui/handle/123456789/36013
Appears in Collections:NRM-IISWC-Publication

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