Individual tree aboveground biomass for Castanopsis indica in the mid-hills of Nepal

Shrestha, Dan B.; Sharma, Ram P.; Bhandari, SK

doi:10.1007/s10457-017-0109-2

Cited by 12 publications

(8 citation statements)

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“…Forest biomass models built at the individual tree scale are largely allometric equations based on DBH [35] or both DBH and tree height [36]. Some allometric equations also include the ratio of tree height and DBH, crown diameter, crown height and basal area [1,3]. Because the relationship between biomass, DBH and tree height varies among tree species, and affects statistical indicators of optimum biomass selection [16,37,38], the forest biomass model developed for one region may not globally apply to other regions or ecosystems.…”

Section: Current Methodology and Challenges For Forest Biomass Estimation At Thementioning

confidence: 99%

“…Some research has concluded that, even for the same tree species, the relationship between DBH and height varies significantly among locations [14]. Stand age [44], stand density [15], environment [3], forest management [17] and the difference between plantation and natural forest [42] have the potential to cause significant differences in allometric biomass algorithms. However, few studies have focused on the influence of those factors on allometric biomass equations.…”

Section: Current Methodology and Challenges For Forest Biomass Estimation At Thementioning

confidence: 99%

“…Where it is impractical to measure forest biomass destructively, TLS offers a promising, non-destructive alternative with high spatial detail for [55,56]. Robust allometric algorithms significantly improve AGB estimation [57], but traditional forest biomass estimation based on allometry is affected by low accuracy measurements, especially for large trees (at the individual tree level) [58], and varies among tree species, stand densities, stand ages, environmental conditions and management practices [3,14,15,17,43,44]. TLS-derived biomass data, capturing large areas and spatial variability, expands sampling for allometric model and AGB model calibration, complementing traditional forest inventory methods to measure abiotic and biotic effects [56].…”

Section: Terrestrial Laser Scanning (Tls)mentioning

confidence: 99%

“…It is the key to ecological research and the basis for a range of fields including forest productivity, energy flux, carbon and nitrogen cycling, nutrient cycling and forest dynamics. Additionally, it is a critical biophysical parameter to describe the characteristics of forest ecosystems [1][2][3][4]. In the past, the focus of forest biomass estimation has been on timber quality and quantity [5], but this has shifted to forest carbon sequestration under the impetus of global climate change [6].…”

Section: Introductionmentioning

confidence: 99%

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LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives

Wang

et al. 2021

Forests

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Accurate forest biomass estimation at the individual tree scale is the foundation of timber industry and forest management. It plays an important role in explaining ecological issues and small-scale processes. Remotely sensed images, across a range of spatial and temporal resolutions, with their advantages of non-destructive monitoring, are widely applied in forest biomass monitoring at global, ecoregion or community scales. However, the development of remote sensing applications for forest biomass at the individual tree scale has been relatively slow due to the constraints of spatial resolution and evaluation accuracy of remotely sensed data. With the improvements in platforms and spatial resolutions, as well as the development of remote sensing techniques, the potential for forest biomass estimation at the single tree level has been demonstrated. However, a comprehensive review of remote sensing of forest biomass scaled at individual trees has not been done. This review highlights the theoretical bases, challenges and future perspectives for Light Detection and Ranging (LiDAR) applications of individual trees scaled to whole forests. We summarize research on estimating individual tree volume and aboveground biomass (AGB) using Terrestrial Laser Scanning (TLS), Airborne Laser Scanning (ALS), Unmanned Aerial Vehicle Laser Scanning (UAV-LS) and Mobile Laser Scanning (MLS, including Vehicle-borne Laser Scanning (VLS) and Backpack Laser Scanning (BLS)) data.

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Section: Current Methodology and Challenges For Forest Biomass Estimation At Thementioning

confidence: 99%

Section: Current Methodology and Challenges For Forest Biomass Estimation At Thementioning

confidence: 99%

Section: Terrestrial Laser Scanning (Tls)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives

Wang

et al. 2021

Forests

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“…Seven of them have already been applied for modelling plant biomass and they are cited in this table. We applied the parameter prediction approach (Clutter, 1983;Chapagain et al, 2014;Sharma et al, 2017;Shrestha et al, 2018) in which parameter b 1 of each formulation of the functions in Table 3 was modelled as a function of each of the nine CERNE BAHADUR et al…”

Section: F8mentioning

confidence: 99%

A GENERALIZED ABOVEGROUND BIOMASS MODEL FOR JUVENILE INDIVIDUALS OF Rhododendron arboreum (SM.) IN NEPAL

Bahadur¹,

Sharma

Bhandari

2019

CERNE

Self Cite

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Allometric models for biomass prediction of Hevea brasilliensis

Fernando,

Subasinghe,

Lokupitiya

2023

Environmental Quality Mgmt

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Trees contribute to combating global warming by absorbing CO2, thus enhancing the quality of the environment. Sri Lanka maintains about 112,000 ha of Hevea brasiliensis (rubber) plantations, where 85.7% is in the wet zone. When rubber trees decline in latex production, after 30–33 years of planting, they are harvested to regenerate the next cycle. Rubber timber in Sri Lanka is used mainly for manufacturing interior parts of furniture, tool handles, and toys, leaving minimal chances for the emission of CO2 by combustion. Therefore, rubber is a good source of carbon sequestration, which can be used to earn additional benefits for the farmers. Estimating tree biomass helps to assess the carbon sequestration of those trees. Therefore this study aimed to build allometric models to predict the biomass using diameter at breast height (dbh) and total tree height (h). Since uprooting rubber trees is not allowed till maturity, whole‐tree, above‐ground, and stem biomass prediction models were built by uprooting ten 30‐ and 31‐year‐old trees from two rubber estates of the low country wet zone of Sri Lanka. For the rest of the ages, dbh and h prediction models were built by age using data collected from six age classes of rubber trees from the same two estates so those variables could be used as inputs to the biomass prediction models. For dbh and h models, Michaelis–Menten functions performed better than power‐law functions. Biomass was estimated for the stem and large branches by converting respective volumes to weights. Weight measurements were taken directly for biomass assessment for small branches, foliage, and roots. The quality of models was determined based on both qualitative and quantitative evaluations. The finding proved that the biomass of rubber plantations could effectively be estimated by dbh and h over time.

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Individual tree aboveground biomass for Castanopsis indica in the mid-hills of Nepal

Cited by 12 publications

References 50 publications

LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives

LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives

A GENERALIZED ABOVEGROUND BIOMASS MODEL FOR JUVENILE INDIVIDUALS OF Rhododendron arboreum (SM.) IN NEPAL

Allometric models for biomass prediction of Hevea brasilliensis

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