Regression-Based Integrated Bi-sensor SAR Data Model to Estimate Forest Carbon Stock

2019 ◽  
Vol 47 (9) ◽  
pp. 1599-1608 ◽  
Author(s):  
Suman Sinha ◽  
A. Santra ◽  
A. K. Das ◽  
L. K. Sharma ◽  
Shiv Mohan ◽  
...  
Keyword(s):  
Data Model ◽  
Carbon Stock ◽  
Forest Carbon ◽  
Forest Carbon Stock ◽  
Sar Data

scholarly journals Evaluating the Potential of Commercial Forest Inventory Data to Report on Forest Carbon Stock and Forest Carbon Stock Changes for REDD+ under the UNFCCC

2011 ◽  
Vol 2011 ◽  
pp. 1-13 ◽  
Author(s):  
Danae Maniatis ◽  
Yadvinder Malhi ◽  
Laurent Saint André ◽  
Danilo Mollicone ◽  
Nicolas Barbier ◽  
...  
Keyword(s):  
Carbon Stock ◽  
Measurement Data ◽  
Forest Carbon ◽  
Phase 2 ◽  
Inventory Data ◽  
Ecological Data ◽  
Phase 3 ◽  
Forest Carbon Stock ◽  
Commercial Logging ◽  
Commercial Forest

In the context of the adoption at the 16th Conference of the Parties in 2010 on the REDD+ mitigation mechanism, it is important to obtain reliable data on the spatiotemporal variation of forest carbon stocks and changes (called Emission Factor, EF). A re-occurring debate in estimating EF for REDD+ is the use of existing field measurement data. We provide an assessment of the use of commercial logging inventory data and ecological data to estimate a conservative EF (REDD+ phase 2) or to report on EF following IPCC Guidance and Guidelines (REDD+ phase 3). The data presented originate from five logging companies dispersed over Gabon, totalling 2,240 plots of 0.3 hectares.We distinguish three Forest Types (FTs) in the dataset based on floristic conditions. Estimated mean aboveground biomass (AGB) in the FTs ranges from 312 to 333 Mg ha−1. A 5% accuracy is reached with the number of plots put in place for the FTs and a low sampling uncertainty obtained (± 10 to 13 Mg ha−1). The data could be used to estimate a conservative EF in REDD+ phase 2 and only partially to report on EF following tier 2 requirements for a phase 3.

scholarly journals Development of forest carbon stock and wood production in the Czech Republic until 2060

2008 ◽  
Vol 65 (6) ◽  
pp. 603-603 ◽  
Author(s):  
Emil Cienciala ◽  
Zuzana Exnerová ◽  
Mart-Jan Schelhaas
Keyword(s):  
Czech Republic ◽  
Carbon Stock ◽  
Forest Carbon ◽  
Wood Production ◽  
The Czech Republic ◽  
Forest Carbon Stock

scholarly journals Propagating Uncertainty in Plot-based Estimates of Forest Carbon Stock and Carbon Stock Change

Ecosystems ◽  
2014 ◽  
Vol 17 (4) ◽  
pp. 627-640 ◽  
Author(s):  
Robert J. Holdaway ◽  
Stephen J. McNeill ◽  
Norman W. H. Mason ◽  
Fiona E. Carswell
Keyword(s):  
Carbon Stock ◽  
Forest Carbon ◽  
Carbon Stock Change ◽  
Forest Carbon Stock ◽  
Stock Change

scholarly journals Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage

2013 ◽  
Vol 8 (1) ◽  
Author(s):  
Barry Tyler Wilson ◽  
Christopher W Woodall ◽  
Douglas M Griffith
Keyword(s):  
Carbon Stock ◽  
Forest Carbon ◽  
Continuous Coverage ◽  
Forest Carbon Stock

scholarly journals Açaí fruit production and carbon stock in managed plantations in Southeast of Roraima

2020 ◽  
Vol 14 ◽  
Author(s):  
Tiago Monteiro Condé ◽  
Jackelin Dias Condé ◽  
Carlos Wyldss Lacerda Sousa
Keyword(s):  
Climate Change ◽  
Carbon Stock ◽  
Fruit Production ◽  
Forest Carbon ◽  
Intergovernmental Panel ◽  
Key Species ◽  
Forest Carbon Stock ◽  
Large Production ◽  
Collar Diameter ◽  
Root Collar

The quantification of the carbon stock present in fruits and residues from the manufacture of açaí pulp provides an estimate of the contribution of these key-species to the Amazonian ecosystem to maintain the Earth’s climatic balance. Thus, this work aimed to evaluate the production and carbon stock, based on factor 0.5, developed by the Intergovernmental Panel on Climate Change (IPCC), present in açaí (Euterpe oleraceae M.) “BRS-Pará”, in managed plantations in São João da Baliza, Roraima. Allometric models were adjusted to estimate the carbon stock present in the fruits, bunches, and total (bunch and fruits) of açaí in terms of height and root collar diameter, a variable easily measured in the field. The production of açaí fruits and the forest carbon stock were higher in the managed planting with restriction thinning of only one remaining stem (single) about managed planting with thinning and clump conduction (average of three stipes). Therefore, both plantations provided a large production of açaí pulp with good economic yield and increased forest carbon stock per hectare.

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