Carbon emission from deforestation, forest degradation and wood harvest in the temperate region of Hindukush Himalaya, Pakistan between 1994 and 2016

Ahmad, Adnan; Liu, Qijing; Nizami, Syed Moazzam; Mannan, Abdul; Saeed, Sajjad

doi:10.1016/j.landusepol.2018.07.009

Cited by 79 publications

(59 citation statements)

References 49 publications

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“…Such contrasting results could be due to stand age, plantation history, management, and prevailing disturbances at each site. A significant difference was observed in bark biomass between MS and UMS, which was probably due to the removal of understory vegetation from MS plots, thereby promoting an increase in tree height by the reduction of competition for light, water, and nutrients among individual trees in MS plots [13,54].…”

Section: Biomass and Carbon Of P Massoniana Stands At Different Agesmentioning

confidence: 98%

“…A 1 kg sample of evenly mixed subsamples was brought to the laboratory for oven drying at 72 • C for 48 h to determine the biomass and component carbon content of shrub and herb layers. Oven-dry to wet mass ratio was used to estimate the biomass [12,13,40].…”

Section: Field Sampling and Data Collectionmentioning

confidence: 99%

“…For this reason, inventory-based approaches are widely used worldwide to estimate carbon storage [3,6]. The important variables required for a traditional forest inventory are tree diameter at breast height (DBH) and tree height (H), which can be converted to volume, biomass, and ultimately, carbon stocks [6,13]. Total stand biomass is the sum of the biomass of all single trees in a forest stand.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Biomass and Carbon Of P Massoniana Stands At Different Agesmentioning

confidence: 98%

Section: Field Sampling and Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…Although deforestation is the major contributor to carbon emissions in many tropical countries, degradation (understood here as the loss of woody biomass in forest that remains forest, and often referred to by foresters as 'disturbance') is also a considerable source of emissions at a national level [8][9][10]. This is because although activities which cause degradation result in relatively low carbon stock losses per hectare per year, such activities are very widespread and affect a large proportion of all forests.…”

Section: Introductionmentioning

confidence: 99%

“…The losses per hectare due to deforestation are much higher, but the area affected is usually much smaller. There have been large numbers of studies investigating causes and costs of deforestation [11][12][13][14][15][16][17][18] but far fewer focusing on the causes of degradation [10,19,20], despite the importance of degradation as a contributor to carbon emissions [21][22][23]. Localized studies on degradation have often identified the drivers (selective logging, fires, shifting cultivation, extraction of wood for fuel, etc.)…”

Section: Introductionmentioning

confidence: 99%

How Socio-Economic Differences between Farmers Affect Forest Degradation in Western Mexico

Borrego

Skutsch

2019

Forests

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Many forests under community use in tropical countries become degraded and lose carbon stocks as a result of agricultural activities such as shifting cultivation and cattle grazing, although these processes rarely result in deforestation. A better understanding of processes specifically causing forest degradation may be of interest to policy makers concerned with the design of programs to conserve forests, for example under international policy on Reducing Emissions from Deforestation and Forest Degradation (REDD+). On the basis of data from a farmer survey carried out in the western Pacific area of Mexico, this study uses a cross-sectional regression model to identify the variables that explain variations between groups of farmers in the amounts of land temporarily cleared for shifting cultivation, which results in decreasing the density of forest biomass. We found that, contrary to common perception about shifting cultivation, within each community, many farmers, both richer and poorer, carry out shifting cultivation. Moreover, it is the wealthier farmers that are making more temporary clearances for such activities when compared with those with less resources. We conclude that, for effectiveness in the design of national programs for REDD+, intra-community differences in farmer status should be taken into account. Moreover, REDD+ interventions should consider the impacts of this program on farmers without rights to land.

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Challenges and Monitoring Methods of Forest Management Through Geospatial Application

Pandey¹,

Kumari²,

Dash³

et al. 2022

Advances in Remote Sensing for Forest Monitoring

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Carbon emission from deforestation, forest degradation and wood harvest in the temperate region of Hindukush Himalaya, Pakistan between 1994 and 2016

Cited by 79 publications

References 49 publications

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

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

How Socio-Economic Differences between Farmers Affect Forest Degradation in Western Mexico

Challenges and Monitoring Methods of Forest Management Through Geospatial Application

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