Carbon content and allometric models to estimate aboveground biomass for forest areas under restoration

2021 ◽  
Author(s):  
Anani Morilha Zanini ◽  
Rafaella Carvalho Mayrinck ◽  
Simone Aparecida Vieira ◽  
Ricardo Ribeiro Rodrigues
Keyword(s):  
Carbon Content ◽  
Aboveground Biomass ◽  
Allometric Models

scholarly journals Allometric models for estimating aboveground biomass and carbon stock for Diospyros mespiliformis in West Africa

Silva Fennica ◽  
2020 ◽  
Vol 54 (1) ◽  
Author(s):  
Korotimi Ouédraogo ◽  
Kangbéni Dimobe ◽  
Adjima Thiombiano
Keyword(s):  
Burkina Faso ◽  
Carbon Content ◽  
Aboveground Biomass ◽  
Direct Method ◽  
Scientific Information ◽  
Leaf Biomass ◽  
Basal Diameter ◽  
Site Specific ◽  
Allometric Models ◽  
Biomass Models

Accurate estimates of aboveground biomass (AGB) strongly depend on the suitability and precision of allometric models. Hochst. ex A. DC. is a key component of most sub-Sahara agroforestry systems and, one of the most economically important trees in Africa. Despite its importance, very few scientific information exists regarding its biomass and carbon storage potential. In this study direct method was used to develop site-specific biomass models for tree components in Burkina Faso. Allometric models were developed for stem, branch and leaf biomass using data from 39 tree harvested in Sudanian savannas of Burkina Faso. Diameter at breast height (DBH), tree height, crown diameter (CD) and basal diameter (D) were regressed on biomass component using non-linear models with DBH alone, and DBH in combination with height and/or CD as predictor variables. Carbon content was estimated for each tree component using the ash method. Allometric models differed between the experimental sites, except for branch biomass models. Site-specific models developed in this study exhibited good model fit and performance, with explained variance of 81–98%. Using models developed from other areas would have underestimated or overestimated biomass by between –72% and +98%. Carbon content in aboveground components of in Tiogo, Boulon and Tapoa-Boopo was 55.40% ± 1.50, 55.52% ± 1.06 and 55.63% ± 1.00, respectively, and did not vary significantly (-value = 0.909). Site-specific models developed in this study are useful tool for estimating carbon stocks and can be used to accurately estimate tree components biomass in vegetation growing under similar conditions.Diospyros mespiliformisD. mespiliformis20D. mespiliformisP

scholarly journals Aboveground Biomass Allocation of Boreal Shrubs and Short-Stature Trees in Northwestern Canada

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 234
Author(s):  
Linda Flade ◽  
Christopher Hopkinson ◽  
Laura Chasmer
Keyword(s):  
Short Stature ◽  
Biomass Allocation ◽  
Aboveground Biomass ◽  
Leaf Biomass ◽  
Sectional Area ◽  
Plant Component ◽  
Cross Sectional ◽  
Allometric Models ◽  
Stem Biomass ◽  
Model Fits

In this follow-on study on aboveground biomass of shrubs and short-stature trees, we provide plant component aboveground biomass (herein ‘AGB’) as well as plant component AGB allometric models for five common boreal shrub and four common boreal short-stature tree genera/species. The analyzed plant components consist of stem, branch, and leaf organs. We found similar ratios of component biomass to total AGB for stems, branches, and leaves amongst shrubs and deciduous tree genera/species across the southern Northwest Territories, while the evergreen Picea genus differed in the biomass allocation to aboveground plant organs compared to the deciduous genera/species. Shrub component AGB allometric models were derived using the three-dimensional variable volume as predictor, determined as the sum of line-intercept cover, upper foliage width, and maximum height above ground. Tree component AGB was modeled using the cross-sectional area of the stem diameter as predictor variable, measured at 0.30 m along the stem length. For shrub component AGB, we achieved better model fits for stem biomass (60.33 g ≤ RMSE ≤ 163.59 g; 0.651 ≤ R2 ≤ 0.885) compared to leaf biomass (12.62 g ≤ RMSE ≤ 35.04 g; 0.380 ≤ R2 ≤ 0.735), as has been reported by others. For short-stature trees, leaf biomass predictions resulted in similar model fits (18.21 g ≤ RMSE ≤ 70.0 g; 0.702 ≤ R2 ≤ 0.882) compared to branch biomass (6.88 g ≤ RMSE ≤ 45.08 g; 0.736 ≤ R2 ≤ 0.923) and only slightly better model fits for stem biomass (30.87 g ≤ RMSE ≤ 11.72 g; 0.887 ≤ R2 ≤ 0.960), which suggests that leaf AGB of short-stature trees (<4.5 m) can be more accurately predicted using cross-sectional area as opposed to diameter at breast height for tall-stature trees. Our multi-species shrub and short-stature tree allometric models showed promising results for predicting plant component AGB, which can be utilized for remote sensing applications where plant functional types cannot always be distinguished. This study provides critical information on plant AGB allocation as well as component AGB modeling, required for understanding boreal AGB and aboveground carbon pools within the dynamic and rapidly changing Taiga Plains and Taiga Shield ecozones. In addition, the structural information and component AGB equations are important for integrating shrubs and short-stature tree AGB into carbon accounting strategies in order to improve our understanding of the rapidly changing boreal ecosystem function.

Trends in allometric models and aboveground biomass of familyRhizophoraceaemangroves in the Coral Triangle ecoregion, Southeast Sulawesi, Indonesia

2018 ◽  
Vol 37 (7) ◽  
pp. 691-711 ◽  
Author(s):  
Analuddin Kangkuso ◽  
Sahadev Sharma ◽  
Jamili Jamili ◽  
Andi Septiana ◽  
Idin Sahidin ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Coral Triangle ◽  
Allometric Models

scholarly journals Erratum to: Allometric models and aboveground biomass stocks of a West African Sudan Savannah watershed in Benin

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Adéyèmi Chabi ◽  
Sven Lautenbach ◽  
Vincent Oladokoun Agnila Orekan ◽  
Nicholas Kyei‑Baffour
Keyword(s):  
Aboveground Biomass ◽  
West African ◽  
Allometric Models
Sign in / Sign up

Export Citation Format

Share Document