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  1. KRISHI Publication and Data Inventory Repository
  2. Natural Resource Management A8
  3. ICAR-Central Arid Zone Research Institute L7
  4. NRM-CAZRI-Publication
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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/28823
Title: Biomass and carbon projection models in Hardwickia binata Roxb. vis a vis estimation of its carbon sequestration potential under arid environment
Other Titles: Not Available
Authors: Suresh Pal Singh Tanwar
Archana Verma
Praveen Kumar
Nurnabi Meherul Alam
Ram Krishna Bhatt
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Central Arid Zone Research Institute
Published/ Complete Date: 2019-12-01
Project Code: Not Available
Keywords: allometric model
biomass
carbon
Hardwickia binata
predictive models
Publisher: Not Available
Citation: Not Available
Series/Report no.: Not Available;
Abstract/Description: Hardwickia binata, is an important fodder and timber tree of arid regions. Assessment of its biomass and carbon content is essential, for taking management decisions, and in ecosystem modelling. Seven models namely logistic, Gompertz, Chapman, Hill, Allometric, Linear and Monomolecular were tested for this purpose by using diameter at breast height (DBH). Allometric model (Y = a ×DBHb) was found best performing with AIC value of 12.65. This model was then used to develop biomass equations for different tree components using DBH as independent variable. Developed equations showed high R2 values (0.894 to 0.989). These equations were then used to assess the biomass and carbon stock of H. binata plantations of different age groups. Total biomass of plantations ranged between 63.61 Mg ha−1 (14 years) and 139.55 Mg ha−1 (36 years) with the corresponding carbon stock of 28.39 Mg ha−1 and 63.35 Mg ha−1 which translates into carbon sequestration rate of 1.60 and 2.02 Mg ha−1 a−1, respectively. The developed equations provide a realistic assessment of biomass productivity and carbon stock with low error margin and would thus be very useful in taking suitable management decisions and in ecosystem modelling to explain impact of carbon management to policymakers
Description: Not Available
ISSN: Not Available
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Archives of Agronomy and Soil Science
NAAS Rating: 8.14
Volume No.: Not Available
Page Number: Not Available
Name of the Division/Regional Station: Not Available
Source, DOI or any other URL: 10.1080/03650340.2019.1701659
URI: http://krishi.icar.gov.in/jspui/handle/123456789/28823
Appears in Collections:NRM-CAZRI-Publication

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