Skip to content
Research Article Open access CC BY 4.0

Allometric Aboveground Biomass Models for Northern Delhi Ridge Forest

Mayank Tripathi, Hema Joshi

Asian Journal of Research in Agriculture and Forestry · pp. 229–243 · Published 20 Nov 2023

10.9734/ajraf/2023/v9i4251

Abstract

Bio energy obtained through forest biomass is a promising renewable energy option that provides a more environmentally sustainable alternative to fossil resources by reducing the net flux of greenhouse gases to the atmosphere. India, a developing nation is also in the process of building forest biomass models to study the potential of forests in short and long - term carbon mitigation. Earlier, traditional and destructive sampling were the popular methods for the aforesaid purpose. Recently, non - destructive methods have been adopted applying different allometric equations mostly developed outside India. Thus, there was a need to develop non- destructive allometric aboveground (AGB) models complementing the Indian climate. Also, there was a scarcity of domestic/local AGB models for arid, semi- arid, northern tropical thorn forest of India. The objectives of this study were to develop site-specific and mixed- species allometric models to predict AGB, at the Northern Delhi Ridge Forest (NDRF) using nonlinear mathematical functions. The model has a wide scope and can be applied to adjoining areas as well having similar climatic conditions. Three allometric combinations were tried to fit the aboveground biomass data obtained from the ridge forest. A three- parametric Richard’s model (with predictor variable x=D2H) was best fitted to AGB (R2adj= 0.9463) values for larger trees. Meanwhile, for juvenile plants, a three- parametric Richard function was best fitted (R2adj= 0.9733) when (x = DH) was used as a predictor variable. Cross- validation of model parameters exhibited statistical stability.

Forest biomass renewable energy greenhouse gases allometric aboveground biomass non-destructive nonlinear Northern Delhi Ridge Forest

References (36)

  1. 1 Collinearity: a review of methods to deal with it and a simulation study evaluating their performance [DOI]
  2. 2 Climate Change 2014: Mitigation of Climate Change [DOI]
  3. 3 Climate change 2007 - mitigation of climate change
  4. 4 Improved allometric models to estimate the aboveground biomass of tropical trees [DOI]
  5. 5 A revised survey of the forest types of India.
  6. 6 The Problems of Relative Growth [DOI]
  7. 7 A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems [DOI]
  8. 8 Biomass and stem volume equations for tree species in Europe [DOI]
  9. 9 Nondestructive estimates of above‐ground biomass using terrestrial laser scanning [DOI]
  10. 10 Height-diameter allometry of tropical forest trees [DOI]
  11. 11 Measuring Trees and Forests [DOI]
  12. 12 Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR [DOI]
  13. 13 Tree allometry in Central Africa: Testing the validity of pantropical multi-species allometric equations for estimating biomass and carbon stocks [DOI]
  14. 14 Generalized allometric volume and biomass equations for some tree species in Europe [DOI]
  15. 15 Tropical forest biomass estimation and the fallacy of misplaced concreteness [DOI]
  16. 16 Tree height–diameter allometry across the United States [DOI]
  17. 17 Generic allometric models including height best estimate forest biomass and carbon stocks in Indonesia [DOI]
  18. 18 Should tree biomass allometry be restricted to power models? [DOI]
  19. 19 Common tree definitions for national forest inventories in Europe [DOI]
  20. 20 Carbon storage, structure and composition of miombo woodlands in Tanzania’s Eastern Arc Mountains [DOI]
  21. 21 Environmental filtering of dense-wooded species controls above-ground biomass stored in African moist forests [DOI]
  22. 22 Seedling growth and biomass allocation in relation to leaf habit and shade tolerance among 10 temperate tree species [DOI]
  23. 23 Biomass Estimation of Dry Tropical Woody Species at Juvenile Stage [DOI]
  24. 24 Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia [DOI]
  25. 25 Site-effects on biomass allometric models for early growth plantations of Norway spruce (Picea abies (L.) Karst.) [DOI]
  26. 26 Height–diameter relationship of trees in Omo strict nature forest reserve, Nigeria [DOI]
  27. 27 Applicability of semi-destructive method to derive allometric model for estimating aboveground biomass and carbon stock in the Hill zone of Bangladesh [DOI]
  28. 28 Integrated individual tree biomass simultaneous equations for two larch species in northeastern and northern China [DOI]
  29. 29 Estimating potential harvestable biomass for bioenergy from sustainably managed private native forests in Southeast Queensland, Australia [DOI]
  30. 30 Allometric biomass models for the most abundant fruit tree species of Bangladesh: A Non-destructive approach [DOI]
  31. 31 Comparison between empirical and theoretical biomass allometric models and statistical implications for stem volume predictions [DOI]
  32. 32 Carbon allocation in a Costa Rican dry forest derived from tree ring analysis [DOI]
  33. 33 Allometric equations for estimating the above-ground biomass of Castanopsis indica at juvenile stage [DOI]
  34. 34 Kurtosis and peakedness [DOI]
  35. 35 Philosophical Transactions of the Royal Society B: biological sciences [DOI]
  36. 36 Wood Densities of Tropical Tree Species [DOI]

Cited by 2

2 citations reported by external sources — individual citing-article records aren't available to list yet.

Related research

Article metrics

Real usage data collected on this platform.

29

Page views

0

PDF downloads

3

Outbound clicks

2

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.