Comparison among allometric models for tree biomass estimation using non-destructive trees’ data

Pandey, Harsh; Bhandari, SK; Harrison, S.A.

doi:10.1007/s42965-021-00210-0

Cited by 1 publication

(2 citation statements)

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“…Additionally, the models' performances and output errors were tested using the Shapiro-Wilk Normality test and the errors were plotted to determine if they were normally distributed [52]. Based on the relatively better-performing model that considered field characteristics as suggested [43,44], the selected model [i.e., predicted biomass = 0.0509 × wood density of particular species × DBH t ˆ2 × total height of the trees t , t = time in year ranging from 1 to rotation age of the tree species, and other variables have their usual meanings and units] was used for the estimation and prediction of biomass using regression analysis because of its merit and commonality in practice [53]. All statistical analyses and tests were conducted using R libraries of version 4.2 such as multcom, agricolae, lm, glm [54] and MS Excel 2007.…”

Section: Discussionmentioning

confidence: 99%

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Comparison of Planted Pine versus Natural Mix Forests in Nepal

Pandey,

Maraseni,

Pokhrel

2024

Forests

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This study aimed to compare the socio-environmental benefits of one of the most widely planted forest species, i.e., Pinus roxburghii (Sarg., hereafter ‘Pine’ or ‘Pinus’) with naturally regenerated mixed forests in two community forests of Nepal. By analyzing tree rings, we estimate biomass production, carbon accumulation, and growth enhancement in both forest types using regression models, offering insights into sustainable forest management. Pinus forests exhibit instant social benefits through direct economic conversion and a higher rate of carbon sequestration. However, the lack of perpetuated production, due to unimodal stand structures, necessitates anthropogenic interventions for long-term sustainability. Challenges such as the absence of natural regeneration, frequent fires, limited undergrowth, limited species diversity, and likely soil erosion hinder long-term sustainability in Pinus forests. In contrast, natural regenerated mixed forests offer slow carbon sequestration with less opportunity for immediate economic conversion, yet they maintain a proportional age-class distribution and experience minimal fire incidence, abundant regeneration, higher biodiversity, and lower regeneration costs. Although no abrupt environmental disasters were observed through the dendrochronological assessment, a significant positive correlation (p < 0.05) was found between age and girth at breast height, biomass, and volume of the forests. This study underscores the crucial role of human intervention beyond conventional management focusing on the protection motive to production-oriented forests in optimizing the socio-economic and environmental benefits of both forest types in the changing socio-environmental challenges through informed management planning.

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Section: Discussionmentioning

confidence: 99%

“…This study estimated the above-ground tree biomass (AGTB) using an allometric equation as suggested by Chave et al (2005) (for the category of moist forests, of which Gorkha district falls under this) [43], which has relatively better performance compared with other models [44].…”

Section: Biomass Estimationmentioning

confidence: 99%