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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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"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/36013
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dc.contributor.authorPankaj Panwaren_US
dc.contributor.authorSharmistha Palen_US
dc.contributor.authorV. K. Bhatt,en_US
dc.contributor.authorRam Prasad,en_US
dc.contributor.authorRajesh Kaushalen_US
dc.contributor.authorN. M. Alamen_US
dc.date.accessioned2020-05-21T09:31:54Z-
dc.date.available2020-05-21T09:31:54Z-
dc.date.issued2014-08-24-
dc.identifier.citationNot Availableen_US
dc.identifier.issnNot Available-
dc.identifier.urihttp://krishi.icar.gov.in/jspui/handle/123456789/36013-
dc.descriptionNot Availableen_US
dc.description.abstractFractal 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 toen_US
dc.description.sponsorshipNot Availableen_US
dc.language.isoEnglishen_US
dc.publisherNot Availableen_US
dc.relation.ispartofseriesNot Available;-
dc.subjectAllometric equations, biomass, descriptive statistics, fractal branching analysisen_US
dc.titleFractal Branching Model for Non-Destructive Biomass Estimation in Terminalia chebula and Emblica officinalis Agroforestry Plantationsen_US
dc.title.alternativeNot Availableen_US
dc.typeResearch Paperen_US
dc.publication.projectcodeNot Availableen_US
dc.publication.journalnameInternational Journal of Bioresource and Stress Managementen_US
dc.publication.volumeno5(3)en_US
dc.publication.pagenumber326-332en_US
dc.publication.divisionUnitNot Availableen_US
dc.publication.sourceUrl10.5958/0976-4038.2014.00576.4en_US
dc.publication.authorAffiliationICAR::Indian Institute of Soil and Water Conservationen_US
dc.ICARdataUseLicencehttp://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdfen_US
dc.publication.naasrating5.11en_US
Appears in Collections:NRM-IISWC-Publication

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