scholarly journals Carbon stock assessment in taiga forests of Northwest Russia using the Leningrad Region as an example

2021 ◽  
Vol 876 (1) ◽  
pp. 012031
Author(s):  
A V Gryazkin ◽  
N V Belyaeva ◽  
I A Kazi ◽  
V V Bespalova ◽  
Chan Chung Thanh
2021 ◽  
Vol 11 (01) ◽  
pp. 100-113
Author(s):  
M. G. Origenes ◽  
R. L. Lapitan

It is documented that the amounts of carbon stored and its level of degradation in different forests compositions and different types of forest is mostly unknown, Philippines is no exemption as little was done in some places of this country. This study was conducted to assess carbon stock through above ground biomass of trees at different forest composition in Mt. Malindawag. There were three (3) 20m x 20m sample plots (quadrats) (400m2 equivalent to 0.04 ha) established as replicate plots provided with 50m intervals. Forest composition such as the Agroforestry area, mixed forest area and the Plantation forest were assessed in terms of the number of individuals, number of species, diameter, and height to calculate the biomass, tree biomass density as well as the carbon stock. Based on the results of the study conducted in different forest compositions of Mt. Malindawag, plantation forest has the highest carbon stocking rate. However, these results were not significantly different from the other forest composition. This was associated with a higher accumulated diameter, which resulted in higher biomass and eventually carbon stock. Species found in this forest composition are productive and have lesser number of individuals; therefore, there is lesser competition for resources such as light. Such a mechanism might contribute to the higher biomass and carbon stock. However, the result may not be right to other areas due to uncontrollable factors, anthropogenic and environmental factors. Hence, it is recommended to have further studies on areas where trees have similar age, species diversity index as well as stand development and site productivity for a more accurate and quantifiable carbon stock.


2008 ◽  
Vol 19 (3) ◽  
pp. 242-256 ◽  
Author(s):  
N. Gnanavelrajah ◽  
R. P. Shrestha ◽  
D. Schmidt-Vogt ◽  
L. Samarakoon

2015 ◽  
Vol 21 (4) ◽  
pp. 307
Author(s):  
Arison Arihafa ◽  
Sebastian Dalgarno ◽  
Ezra Neale

Forest carbon emission mitigation schemes seek to protect tropical forest, combat effects of climate change, and offer potential cash and development opportunities. Reducing emissions from deforestation and degradation (REDD+) projects based on a foundation of accurate carbon stock assessment provide such an opportunity for Papua New Guinea. The objective of this study was to quantify the carbon stock of the central forests of Manus Island, Papua New Guinea, and identify factors that underpin any observed variation within it. We employed the Winrock Standard Operating Procedures for Terrestrial Carbon Measurement for plots and associated measurements. In 75 variable-radius nested plots (total area = 14.4 ha), we assessed above-ground and total carbon stock of stems ≥5 cm diameter at breast height via general linear models in a model-selection framework. The top models described variation in average carbon stock at 95% lower and upper confidence interval in above-ground biomass solely in terms of forest type: primary hill forest 165.0 Mg C ha–1 (148.3–183.7, n = 48), primary plain forest 100.9 Mg C ha–1 (78.0–130.6, n = 10) and secondary hill forests 99.7 Mg C ha–1 (80.9–122.9, n = 17). To a lesser extent, above-ground carbon stock increased with slope and varied idiosyncratically by the nearest village. Our estimates are comparable with published studies for Papua New Guinea and the wider tropical region. These data should strengthen pre-existing knowledge and inform policies on carbon accounting for REDD+ projects in the region.


2017 ◽  
Vol 99 ◽  
pp. 513-524 ◽  
Author(s):  
Soumit K. Behera ◽  
Nayan Sahu ◽  
Ashish K. Mishra ◽  
Surendra S. Bargali ◽  
Mukunda D. Behera ◽  
...  

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