Biomass and Carbon Stock Variation along slopes in Tropical Forest of Nepal: A case of Depard Community Forest, Makwanpur, Nepal

Bohara, Birendra; Miya, Mahamad Sayab; Timilsina, Sachin; Gautam, Deepak; Regmi, Siddhartha

doi:10.47352/jmans.v1i2.85

Cited by 8 publications

(10 citation statements)

References 67 publications

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“…Several other researchers (Shrestha & Singh, 2008;Mwakisunga & Majule, 2012;Gautam & Mandal, 2016;Bohara et al, 2021) have claimed that higher plant biomass is due to increase in tree density, which is in contrast with the findings of our study. We found that the aboveground biomass varied among the sites due to differences in plant species and community structure.…”

Section: Plant Biomass and Carbon Stockcontrasting

confidence: 99%

Pattern of plant biomass and carbon stock along different elevational forests in eastern Nepal

Gachhadar,

Baniya,

Mandal

2024

Banko

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The primary aim of this investigation was to determine the biomass and carbon stock distribution pattern among different forest stands of diverse elevations in the Morang district of East Nepal. It is noteworthy to estimate carbon stock and biomass of relatively least underexplored forests in east Nepal. The data for estimating the biomass and carbon stocks of the five different forest sites, viz. Bhaunne, Raja-Rani, Murchungi, Adheri, and Sagma located between 100-1300m above the mean sea level, were acquired through the measurement of inventory plots selected randomly. Altogether, 50 sample plots were established within five forest stands located on different elevational zone; within each forest site, 10 sample plots of 20m × 20m size, were laid out for the measurement of trees. In the case of shrubs and herbs, nested plots of 5m × 5m and 1m ×1m, respectively were established. Calculation of the biomass of trees and shrubs was facilitated through the application of an allometric equation, while the biomass of herbs was determined by the harvest method. The carbon concentration in the plant materials was estimated using ash content method. The comprehensive analysis of the stand biomass in the Bhaunne, Raja-Rani, Murchungi, Adheri, and Sagma forest sites were: 815.86 Mg ha-1, 414.19 Mg ha-1, 606.81 Mg ha-1, 519.20 Mg ha-1, and 299.96 Mg ha-1, respectively, with minimum at the Sagma site (high-altitude forest) and maximum at the Bhaunne site (low-altitude forest). As per the variation in stand biomass, the carbon stocks in the forest sites also showed the same trend, but the values ranged from 140.19 Mg C ha-1 to 333.63 Mg C ha-1, with the minimum in the Sagma site and the maximum in the Bhaunne site. The application of the Friedman Test revealed statistically significant variation in the tree biomass between the Murchungi and Sagma sites and also in the shrub biomass between the Adheri and Sagma sites. Similarly, noteworthy variations were observed in the herb biomass of the Bhaunne, Raja-Rani, Murchungi, and Adheri sites as compared to that of the Sagma site. The present study contributes to the understanding of forest ecosystems in context to carbon management.

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Section: Plant Biomass and Carbon Stockcontrasting

confidence: 99%

Pattern of plant biomass and carbon stock along different elevational forests in eastern Nepal

Gachhadar,

Baniya,

Mandal

2024

Banko

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“…[20]. Similarly, the biomass and carbon stock in Depard community forest, Manahari-6, Makwanpur district of Nepal were 563.12 tons ha-1 and 242.42 tons ha-1, respectively [21]. Hence, it can be inferred from this study that the expansion of forests has the capacity to mitigate regional and global atmospheric carbon emissions.…”

Section: Resultsmentioning

confidence: 52%

Assessing carbon pools in Lemo Nakai community forest Bengkulu

Barchia,

Sulistyo,

Limbong

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Carbon sequestration and stockpiling in Indonesian community forests become a pressing issue in the context of efforts to mitigate climate change and Indonesia’s contribution to the Sustainable Development Goals. This investigation aimed to determine the carbon stocks at various forest structures within the Lemo Nakai (CF) community forest. The CF encompasses an area between 3°25‘59,588” - 3 27‘57,982” in altitude and 102°19‘25,108” - 102°22‘23,416” in length. The research was conducted between February and July of 2022. The estimated biomass in dense, medium, and sparse forest structures was 601 tons ha-1, 443 tons ha-1, and 241 tons ha-1, respectively, with carbon reservoirs of 276 tons ha-1, 204 tons ha-1, and 111 tons ha-1, respectively. In addition, the estimated CO2eq absorption in dense, medium, and sparse forest structures were 1,013 tons ha-1, 748 tons ha-1, and 406 tons ha-1, respectively.

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“…Agro-forestry practices, grazing management, restoration of degraded land, mixing fertilizers, and inclusion of grass species are the best strategies for carbon storage under the fodder production system (Prasad et al, 2018). Also, the differences in aboveground carbon stock in the two CFs might be due to variations in forest age, plant species, and local factors (Bohara et al, 2021). The proper management activities lead to more effective stand productivity, and greater increment and assemblage of biomass (Jati, 2012).…”

Section: Discussionmentioning

confidence: 99%

Do Managed Hill Sal (Shorea robusta) Community Forests of Nepal Sequester and Conserve More Carbon than Unmanaged Ones?

Gautam

Timilsina

Shrestha

et al. 2023

Environ. Nat. Resour. J.

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Nepalese community forests are globally recognized for sustainable forest management and improving the livelihoods of forest-dependent communities, but their contribution to carbon sequestration in trees and soil is rarely studied. This study was performed to understand the effect of management practices on carbon stock of two community forests (CFs) - Taldanda (managed) and Dangdunge (unmanaged) - dominated by Sal (Shorea robusta) in the mid-hills of Nepal. Twenty-one concentric sample plots, each of 250 m2, were laid out in each forest to estimate different carbon pools and a stratified random sampling intensity of 0.5% used to collect data. Results showed significant (p<0.05) differences in above and below-ground biomass and carbon sequestration potential between the two CFs. The managed and unmanaged forests had total carbon stock of 269.3±27.4 and 150.0±22.7 ton/ha, respectively, demonstrating 1.79 times higher carbon stock in the former than the latter. The managed forest had significantly (p<0.05) greater mean soil organic carbon (SOC) stock than the unmanaged forest. The SOC was highest in the upper soil layer (0-10 cm), with a steady decrease as the soil depth increased. All other measured carbon pools values were higher in managed compared to unmanaged forest. The difference in carbon stock was due to the manipulation of different forest management activities, including thinning, timber extraction, fire control, grazing, and fuel wood/fodder extraction. The study suggests that the implementation of proper forest management would be necessary for enhancing carbon stock in forest trees and soils.

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Biomass and Carbon Stock Variation along slopes in Tropical Forest of Nepal: A case of Depard Community Forest, Makwanpur, Nepal

Cited by 8 publications

References 67 publications

Pattern of plant biomass and carbon stock along different elevational forests in eastern Nepal

Pattern of plant biomass and carbon stock along different elevational forests in eastern Nepal

Assessing carbon pools in Lemo Nakai community forest Bengkulu

Do Managed Hill Sal (Shorea robusta) Community Forests of Nepal Sequester and Conserve More Carbon than Unmanaged Ones?

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