Carbon Stock Sequestered in the phytocenosis of oak forests in Georgia

Abstract A carbon management diagram for use in oak-hickory forests in southern Ohio has been developed to allow easier quantification of total forest carbon stock. The total carbon stock is positively correlated to basal area and average stand diameter but poorly correlated to the number of trees per acre. The total amount of carbon stored in these forests is going to be influenced by age and site quality to the extent that age and site influence basal area and the average tree size. Accordingly, not all stands considered to be fully to overstocked store the most carbon. Rather, it is a combination of basal area and average tree size that determines the total carbon stored, with the carbon stock in the forest increasing with an increase in both basal area and average tree diameter. Examples illustrating the use of the diagram are presented for two oak forests on oak site indexes 60 and 80. Both forests are overstocked at age 100 years, but the forest on site index 60 stores 77 tons/ac of total carbon compared with 103 tons/ac on site index 80.

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Population structure, soil characteristics and carbon stock of the regenerating banj oak forests in Almora, Central Himalaya

Forest Science and Technology ◽

10.1080/21580103.2019.1620135 ◽

2019 ◽

Vol 15 (3) ◽

pp. 117-127 ◽

Cited By ~ 1

Author(s):

Abhishek K. Verma ◽

Satish Chandra Garkoti

Keyword(s):

Population Structure ◽

Carbon Stock ◽

Soil Characteristics ◽

Oak Forests ◽

Central Himalaya ◽

Banj Oak

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Estimation of Biomass and Soil Carbon Stock in Pinus roxburghii and Quercus leucotrichophora Forests of District Shimla, Himachal Pradesh

Indian Journal of Forestry ◽

10.54207/bsmps1000-2019-dlo64x ◽

2019 ◽

Vol 42 (3) ◽

pp. 295-298

Author(s):

R.K. Verma ◽

◽

Dushyant Kumar ◽

Shilpa . ◽

◽

...

Keyword(s):

Soil Carbon ◽

Carbon Stock ◽

Oak Forests ◽

Pinus Roxburghii ◽

Soil Organic Carbon Stock ◽

Soil Carbon Stock ◽

Below Ground ◽

Chir Pine ◽

Quercus Leucotrichophora ◽

Organic Carbon Stock

A study was conducted to estimate the biomass and soil carbon stock in various sites of Pinus roxburghii Sarg. (Chir pine) and Quercus leucotrichophora A. Camus (Ban oak) forests of district Shimla, Himachal Pradesh during the year 2015-2016. In case of chir pine forests, the amount of carbon stock in Guma site for above ground, below ground, under storey and litter was 80.05, 16.01, 3.24 and 1.55 tC/ha, respectively. Whereas, values of carbon stock at Dhami site were 192.92, 38.58, 1.71 and 1.57 tC/ha, respectively. The biomass as well as the carbon stock was higher at Dhami site than Guma site. The soil organic carbon stock (tC/ha) at 10-15 cm, 15-30 cm and 30-45 cm was 22.45, 19.99 and 12.36, respectively at Guma site. Whereas, these values at different depths were 23.23, 20.17 and 15.59 tC/ha, respectively for Dhami site. The value of total soil carbon stock was more (58.98 tC/ha) at Dhami site than Guma site (54.80 tC/ha) upto 45cm depth. In case of Ban oak forests, the amount of carbon stock in Taradevi site for above ground, below ground, under storey and litter was 151.27, 37.82, 3.04 and 1.52 tC/ha, respectively. Whereas, values of carbon stock at Koti site were 74.25, 18.56, 1.24 and 1.26 tC/ha, respectively. Total biomass as well as the carbon stock was higher at Taradevi site than Koti site. The soil organic carbon stock (tC/ha) at 10-15 cm, 15-30 cm and 30-45 cm was 42.07, 29.70 and 14.78, respectively at Tardevi site. Whereas, these values for three depths were 36.60 , 27.72 and 18.72 tC/ha, respectively for Koti site. The value of total soil carbon stock was more at Tardevi site (86.55 tC/ha) than Koti site (83.04 tC/ha).

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A comparative assessment of multi-temporal Landsat 8 and machine learning algorithms for estimating aboveground carbon stock in coppice oak forests

International Journal of Remote Sensing ◽

10.1080/01431161.2017.1356488 ◽

2017 ◽

Vol 38 (22) ◽

pp. 6407-6432 ◽

Cited By ~ 19

Author(s):

Amir Safari ◽

Hormoz Sohrabi ◽

Scott Powell ◽

Shaban Shataee

Keyword(s):

Machine Learning ◽

Carbon Stock ◽

Learning Algorithms ◽

Comparative Assessment ◽

Machine Learning Algorithms ◽

Oak Forests ◽

Landsat 8 ◽

Aboveground Carbon ◽

Multi Temporal

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Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province, Pakistan

Journal of Forestry Research ◽

10.1007/s11676-019-01059-9 ◽

2019 ◽

Vol 31 (6) ◽

pp. 2313-2321 ◽

Cited By ~ 1

Author(s):

Anwar Ali ◽

Muhammad Irfan Ashraf ◽

Saeed Gulzar ◽

Muhammad Akmal ◽

Bilal Ahmad

Keyword(s):

Climate Change ◽

Soil Carbon ◽

Carbon Stock ◽

Climate Change Mitigation ◽

Temperate Forests ◽

Oak Forests ◽

Carbon Density ◽

Khyber Pakhtunkhwa ◽

Khyber Pakhtunkhwa Province ◽

Change Mitigation

Abstract Forest soils have high carbon densities compared to other land-uses. Soil carbon sequestration is important to reduce CO2 concentrations in the atmosphere. An effective climate change mitigation strategy involves limiting the emissions of greenhouse gases from soils. Khyber Pakhtunkhwa is the most forested province of Pakistan, hosting about one-third of the country’s 4.5 × 106 ha forest area. Soil organic carbon in the province’s forests was estimated through a field-based study carried out during 2014–17 covering the whole province. Data was collected from 373 sample plots laid out in different forest types using a stratified cluster sampling technique. The total quantity of soil organic carbon was estimated at 59.4 × 106 t with an average of 52.4 ± 5.3 t/ha. About 69% of the total soil carbon is present in temperate forests. Subtropical broad-leaved and subtropical pine forests constitute 11.4% and 8.8% of the soil carbon stock respectively. Similarly, subalpine and oak forests have respective shares of 5.1% and 5.7% in the soil carbon pool. The lowest carbon stock (0.1%) was found in dry-tropical thorn forests. The highest soil carbon density was found in subalpine forests (69.5 ± 7.2 t/ha) followed by moist temperate forests (68.5 ± 6.7 t/ha) and dry temperate forests (60.7 ± 6.5 t/ha). Oak forests have carbon density of 43.4 ± 7.1 t/ha. Subtropical pine, subtropical broad-leaved and dry tropical thorn forests have soil carbon densities of 36.3 ± 3.7, 32.8 ± 6.2 and 31.5 ± 3.5 t/ha, respectively. The forests of the Khyber Pakhtunkhwa province have substantial amounts of soil carbon which must be conserved for climate change mitigation and maintenance of sound forest health.

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Estimate of biomass and carbon pools in disturbed and undisturbed oak forests in Tunisia

Forest Systems ◽

10.5424/fs/2016252-08062 ◽

2016 ◽

Vol 25 (2) ◽

pp. e060 ◽

Cited By ~ 3

Author(s):

Lobna Zribi ◽

Hatem Chaar ◽

Abdelhamid Khaldi ◽

Belgacem Henchi ◽

Florent Mouillot ◽

...

Keyword(s):

Carbon Stock ◽

Cork Oak ◽

Carbon Accumulation ◽

Oak Forests ◽

Tree Biomass ◽

Stem Wood ◽

Young Forest ◽

Undisturbed Forest ◽

Disturbed Forest ◽

Total Tree

Aim of the study. To estimate biomass and carbon accumulation in a young and disturbed forest (regenerated after a tornado) and an aged cork oak forest (undisturbed forest) as well as its distribution among the different pools (tree, litter and soil).Area of study. The north west of TunisiaMaterial and methods. Carbon stocks were evaluated in the above and belowground cork oak trees, the litter and the 150 cm of the soil. Tree biomass was estimated in both young and aged forests using allometric biomass equations developed for wood stem, cork stem, wood branch, cork branch, leaves, roots and total tree biomass based on combinations of diameter at breast height, total height and crown length as independent variables.Main results. Total tree biomass in forests was 240.58 Mg ha-1 in the young forest and 411.30 Mg ha-1 in the aged forest with a low root/shoot ratio (0.41 for young forest and 0.31 for aged forest). Total stored carbon was 419.46 Mg C ha-1 in the young forest and 658.09 Mg C ha-1 in the aged forest. Carbon stock (Mg C ha-1) was estimated to be113.61(27.08%) and 194.08 (29.49%) in trees, 3.55 (0.85%) and 5.73 (0.87%) in litter and 302.30 (72.07%) and 458.27 (69.64%) in soil in the young and aged forests, respectively.Research highlights. Aged undisturbed forest had the largest tree biomass but a lower potential for accumulation of carbon in the future; in contrast, young disturbed forest had both higher growth and carbon storage potential.Keywords: Tree biomass; disturbance; allometry; cork oak forests; soil organic carbon stock.

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