Overview of Forest Carbon Stocks Study in Amazonas State, Brazil

2016 ◽  
pp. 171-187 ◽  
Author(s):  
Niro Higuchi ◽  
Rempei Suwa ◽  
Francisco G. Higuchi ◽  
Adriano J. N. Lima ◽  
Joaquim dos Santos ◽  
...  
Keyword(s):  
Carbon Stocks ◽  
Forest Carbon ◽  
Amazonas State

scholarly journals A 100-year conservation experiment: Impacts on forest carbon stocks and fluxes

2013 ◽  
Vol 310 ◽  
pp. 242-255 ◽  
Author(s):  
Tara Sharma ◽  
Werner A. Kurz ◽  
Graham Stinson ◽  
Marlow G. Pellatt ◽  
Qinglin Li
Keyword(s):  
Carbon Stocks ◽  
Forest Carbon

scholarly journals Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries

2016 ◽  
Vol 13 (5) ◽  
pp. 1571-1585 ◽  
Author(s):  
Pierre Ploton ◽  
Nicolas Barbier ◽  
Stéphane Takoudjou Momo ◽  
Maxime Réjou-Méchain ◽  
Faustin Boyemba Bosela ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Reference Model ◽  
Original Data ◽  
Carbon Stocks ◽  
Forest Carbon ◽  
Biomass Estimation ◽  
Systematic Bias ◽  
Data Set ◽  
Allometric Models ◽  
Large Trees

Abstract. Accurately monitoring tropical forest carbon stocks is a challenge that remains outstanding. Allometric models that consider tree diameter, height and wood density as predictors are currently used in most tropical forest carbon studies. In particular, a pantropical biomass model has been widely used for approximately a decade, and its most recent version will certainly constitute a reference model in the coming years. However, this reference model shows a systematic bias towards the largest trees. Because large trees are key drivers of forest carbon stocks and dynamics, understanding the origin and the consequences of this bias is of utmost concern. In this study, we compiled a unique tree mass data set of 673 trees destructively sampled in five tropical countries (101 trees > 100 cm in diameter) and an original data set of 130 forest plots (1 ha) from central Africa to quantify the prediction error of biomass allometric models at the individual and plot levels when explicitly taking crown mass variations into account or not doing so. We first showed that the proportion of crown to total tree aboveground biomass is highly variable among trees, ranging from 3 to 88 %. This proportion was constant on average for trees < 10 Mg (mean of 34 %) but, above this threshold, increased sharply with tree mass and exceeded 50 % on average for trees  ≥  45 Mg. This increase coincided with a progressive deviation between the pantropical biomass model estimations and actual tree mass. Taking a crown mass proxy into account in a newly developed model consistently removed the bias observed for large trees (> 1 Mg) and reduced the range of plot-level error (in %) from [−23; 16] to [0; 10]. The disproportionally higher allocation of large trees to crown mass may thus explain the bias observed recently in the reference pantropical model. This bias leads to far-from-negligible, but often overlooked, systematic errors at the plot level and may be easily corrected by taking a crown mass proxy for the largest trees in a stand into account, thus suggesting that the accuracy of forest carbon estimates can be significantly improved at a minimal cost.

Examining High-Resolution PiSAR-L2 Textures for Estimating Tropical Forest Carbon Stocks

2016 ◽  
Vol 9 (7) ◽  
pp. 3202-3209 ◽  
Author(s):  
Rajesh Bahadur Thapa ◽  
Manabu Watanabe ◽  
Masanobu Shimada ◽  
Takeshi Motohka
Keyword(s):  
High Resolution ◽  
Tropical Forest ◽  
Carbon Stocks ◽  
Forest Carbon

scholarly journals Forests: Carbon sequestration, biomass energy, or both?

2020 ◽  
Vol 6 (13) ◽  
pp. eaay6792 ◽  
Author(s):  
Alice Favero ◽  
Adam Daigneault ◽  
Brent Sohngen
Keyword(s):  
Carbon Sequestration ◽  
Carbon Balance ◽  
Carbon Stocks ◽  
Forest Carbon ◽  
Biomass Energy ◽  
Climate Mitigation ◽  
Intensive Management ◽  
Natural Forests ◽  
Timber Management ◽  
Forest Carbon Sequestration

There is a continuing debate over the role that woody bioenergy plays in climate mitigation. This paper clarifies this controversy and illustrates the impacts of woody biomass demand on forest harvests, prices, timber management investments and intensity, forest area, and the resulting carbon balance under different climate mitigation policies. Increased bioenergy demand increases forest carbon stocks thanks to afforestation activities and more intensive management relative to a no-bioenergy case. Some natural forests, however, are converted to more intensive management, with potential biodiversity losses. Incentivizing both wood-based bioenergy and forest sequestration could increase carbon sequestration and conserve natural forests simultaneously. We conclude that the expanded use of wood for bioenergy will result in net carbon benefits, but an efficient policy also needs to regulate forest carbon sequestration.

State of the Art Methods to Project Forest Carbon Stocks

2019 ◽  
Vol 34 (1-2) ◽  
pp. 1-5
Author(s):  
Justin S. Baker ◽  
Greg Latta ◽  
Nicklas Forsell ◽  
Brent Sohngen
Keyword(s):  
State Of The Art ◽  
Carbon Stocks ◽  
Forest Carbon ◽  
Art Methods

Prescribed fire effects on field-derived and simulated forest carbon stocks over time

2013 ◽  
Vol 310 ◽  
pp. 711-719 ◽  
Author(s):  
Nicole M. Vaillant ◽  
Alicia L. Reiner ◽  
Erin K. Noonan-Wright
Keyword(s):  
Prescribed Fire ◽  
Fire Effects ◽  
Carbon Stocks ◽  
Forest Carbon ◽  
Over Time
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