Effectiveness of management interventions on forest carbon stock in planted forests in Nepal

Dangal, Shambhu; Das, A. K.; Paudel, Shyam K.

doi:10.1016/j.jenvman.2017.03.056

Cited by 23 publications

(17 citation statements)

References 7 publications

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“…is one of the preferentially planted trees for water and soil conservation in the upper reaches of the Bailongjiang River, China, and the present research aims to investigate the influence of stand age, focusing particularly on CS at the ecosystem level. With the knowledge gained from this investigation, the connection between plantation forestry strategy and CS is likely to be better understood 19 , allowing for more informed decisions 26 on the management of current plantation practices in the region. The hypotheses of this study are: (1) stand age may have different influences on CS within live biomass, dead biomass, and organic soil horizons due to positive feedback between plants and soil, and (2) TCS is inversely proportional to stand age.…”

Section: Introductionmentioning

confidence: 99%

“…At the ecosystem level, there are generally three interconnected carbon pools, namely live biomass, dead biomass, which plays an important role between soil carbon and biomass carbon, and organic soil horizons 11,12 . Based on a few ecosystem level studies on CS 2,9,13–18 , we found that forests in the latter stages of stand development could either be carbon neutral 19–21 , sequester a small quantity of carbon 22 , or exhibit a declining carbon pool 23 . This indicates that the dependent relationship between total forest ecosystem carbon storage (TCS) and stand age may be species- and site-specific 24,25 .…”

Section: Introductionmentioning

confidence: 99%

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Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China

Cao

Gong

Adamowski

et al. 2019

Sci Rep

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At an ecosystem level, stand age has a significant influence on carbon storage (CS). Dragon spruce ( Picea asperata Mast.) situated along the upper reaches of the Bailongjiang River in northwest China were categorized into three age classes (29–32 years, Y 1 ; 34–39 years, Y 2 ; 40–46 years, Y 3 ), and age-related differences in total carbon storage (TCS) of the forest ecosystem were investigated for the first time. Results showed that TCS for the Y 1 , Y 2 , and the Y 3 age groups were 323.64, 240.66 and 174.60 Mg ha −1 , respectively. The average TCS of the three age groups was 255.65 Mg C ha −1 , with above-ground biomass, below-ground biomass, litter, and soil in the top 0.6 m contributing 15.0%, 3.7%, 12.1%, and 69.2%, respectively. CS in soil and TCS of the Y 1 age group both significantly exceeded those of the Y 3 age group ( P < 0.05). Contrary to other recent findings, the present study supports the hypothesis that TCS is likely to decrease as stand age increases. This indicates that natural resource managers should rejuvenate forests by routinely thinning older stands, thereby not only achieving vegetation restoration, but also allowing these stands to create a long-term carbon sink for this important eco-region.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China

Cao

Gong

Adamowski

et al. 2019

Sci Rep

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“…Increasing carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) are becoming a major global threat [1]. During photosynthesis trees sequester atmospheric carbon by turning it into biomass with a turnover of several decades [2][3][4]. Thus, forests play a critical role in the global carbon cycle, storing almost 31% of global atmospheric CO 2 as tree biomass, and 81% in the soil.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, plantations globally absorb about 0.178 Pg C per year, and statistics show that plantations in China stored up to 0.77 Pg C from 1999 to 2003 [22]. Therefore, scientists believe that forest plantations are the fastest and most cost-effective method for reducing atmospheric CO 2 concentration by actively and continuously absorbing CO 2 and, subsequently, by storing carbon as biomass in growing trees [2,23]. Consequently, establishing new plantations under scientific management should effectively assist in reducing atmospheric CO 2 levels and increasing carbon sequestration by forest ecosystems [4,16,23].…”

Section: Introductionmentioning

confidence: 99%

Patterns of Biomass, Carbon, and Soil Properties in Masson pine (Pinus massoniana Lamb) Plantations with Different Stand Ages and Management Practices

Ali

Ahmad

Akhtar

et al. 2019

Forests

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Masson pine (Pinus massoniana Lamb) has been planted extensively in different parts of China for timber production and habitat restoration. The effects of stand age and management of these plantations on biomass, carbon storage, and soil physicochemical properties are poorly understood. In this study, we investigated biomass, carbon storage, and soil physicochemical properties of Masson pine plantations. The plantations were divided into four age groups (9, 18, 28, and 48 years), and into managed (MS) and unmanaged stands (UMS) in Hubei province, Central China. Tree biomass increased with stand age. A growth model indicated that maximum tree growth occurred when the plantations were 17 years old, and the average growth rate occurred when plantations were 23 years old. Tree biomass in managed stands was 9.75% greater than that in unmanaged ones. Total biomass carbon was estimated at 27.4, 86.0, 112.7, and 142.2 Mg ha−1, whereas soil organic carbon was 116.4, 135.0, 147.4, and 138.1 Mg ha−1 in 9-, 18-, 28-, and 48-year-old plantations, respectively. Total carbon content was 122.6 and 106.5 Mg ha−1, whereas soil organic carbon content was 104.9 and 115.4 Mg ha−1 in MS and UMS, respectively. Total carbon storage in the plantations studied averaged 143.7, 220.4, 260.1, and 280.3 Mg ha−1 in 9-,18-, 28-, and 48-year-old stands, and 227.3 and 222.4 Mg ha−1 in MS and UMS, respectively. The results of our study provide a sound basis for estimating ecosystem carbon as it relates to forest management activity and stand age.

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“…Deposits of carbon stocks in forests (trees) will be higher than other biomass such as soil, leaf litter and spices. Tree biomass is calculated based on tree biomass, above ground level, tree diameter, tree height, and density [10].…”

Section: Related Workmentioning

confidence: 99%

Geographic Information System Carbon Development Landed on Land of Primary Dry Limits using Method Stock Difference

Xaverius¹,

Gernowo²,

Adi³

2018

IJCA

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Land use emission factor is one of the causes of global climate change The Intergovernmental Panel on Climate Change (IPCC) concludes that most of the global average temperature increase is due to human activities through GHG emissions. GHG emissions come from a variety of sources from agriculture, forestry, and other land uses to a land ecosystem, derived from changes in carbon stock and from non-CO2 emissions as well as from various sources.Changes in carbon stocks in a Biomass can be calculated using the Stock-Difference method in which carbon stores in a cage are measured at two different times to assess changes in carbon stores. In finding the value of carbon stocks in primary dryland forest is highly dependent on the availability of data that becomes the supporting variable that is the data of forest for each region, then GIS becomes one of the solutions in obtaining data.Our results conclude that in 2012 and 2016 there was a decrease in carbon savings of an average of 1,842 C tons/ha and an average rate of emission increase of 5,430.73 CO2 tons/ha.

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Effectiveness of management interventions on forest carbon stock in planted forests in Nepal

Cited by 23 publications

References 7 publications

Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China

Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China

Patterns of Biomass, Carbon, and Soil Properties in Masson pine (Pinus massoniana Lamb) Plantations with Different Stand Ages and Management Practices

Geographic Information System Carbon Development Landed on Land of Primary Dry Limits using Method Stock Difference

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