Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures

Biomass and carbon stocks are key information criteria to understand the role of forests in regulating global climate. However, for a bio-rich continent like Africa, ground-based measurements for accurate estimation of carbon are scarce, and the variables affecting the forest carbon are not well und...

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Main Authors: Sylvanus Mensah, Ruan Veldtman, Ben du Toit, Romain Glèlè Kakaï, Thomas Seifert
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/7/4/79
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spelling doaj-e269fb24211b4d46a44549cb90c2d6ab2020-11-24T22:28:46ZengMDPI AGForests1999-49072016-04-01747910.3390/f7040079f7040079Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest StructuresSylvanus Mensah0Ruan Veldtman1Ben du Toit2Romain Glèlè Kakaï3Thomas Seifert4Department of Forest and Wood Science, Stellenbosch University, Private Bag X1, Matieland 7602, South AfricaSouth African National Biodiversity Institute, Kirstenbosch Research Centre, Private Bag X7, Claremont 7735, South AfricaDepartment of Forest and Wood Science, Stellenbosch University, Private Bag X1, Matieland 7602, South AfricaLaboratoire de Biomathématiques et d’Estimations Forestières, Faculté des Sciences Agronomiques, Université d’Abomey Calavi, Cotonou 03 BP 2819, BeninDepartment of Forest and Wood Science, Stellenbosch University, Private Bag X1, Matieland 7602, South AfricaBiomass and carbon stocks are key information criteria to understand the role of forests in regulating global climate. However, for a bio-rich continent like Africa, ground-based measurements for accurate estimation of carbon are scarce, and the variables affecting the forest carbon are not well understood. Here, we present the first biomass study conducted in South Africa Mistbelt forests. Using data from a non-destructive sampling of 59 trees of four species, we (1) evaluated the accuracy of multispecies aboveground biomass (AGB) models, using predictors such as diameter at breast height (DBH), total height (H) and wood density; (2) estimated the amount of biomass and carbon stored in the aboveground compartment of Mistbelt forests and (3) explored the variation of aboveground carbon (AGC) in relation to tree species diversity and structural variables. We found significant effects of species on wood density and AGB. Among the candidate models, the model that incorporated DBH and H as a compound variable (DBH2 × H) was the best fitting. AGB and AGC values were highly variable across all plots, with average values of 358.1 Mg·ha−1 and 179.0 Mg·C·ha−1, respectively. Few species contributed 80% of AGC stock, probably as a result of selection effect. Stand basal area, basal area of the ten most important species and basal area of the largest trees were the most influencing variables. Tree species richness was also positively correlated with AGC, but the basal area of smaller trees was not. These results enable insights into the role of biodiversity in maintaining carbon storage and the possibilities for sustainable strategies for timber harvesting without risk of significant biomass decline.http://www.mdpi.com/1999-4907/7/4/79climate regulationnon-destructive samplingallometric equationswood densitycarbon density
collection DOAJ
language English
format Article
sources DOAJ
author Sylvanus Mensah
Ruan Veldtman
Ben du Toit
Romain Glèlè Kakaï
Thomas Seifert
spellingShingle Sylvanus Mensah
Ruan Veldtman
Ben du Toit
Romain Glèlè Kakaï
Thomas Seifert
Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures
Forests
climate regulation
non-destructive sampling
allometric equations
wood density
carbon density
author_facet Sylvanus Mensah
Ruan Veldtman
Ben du Toit
Romain Glèlè Kakaï
Thomas Seifert
author_sort Sylvanus Mensah
title Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures
title_short Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures
title_full Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures
title_fullStr Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures
title_full_unstemmed Aboveground Biomass and Carbon in a South African Mistbelt Forest and the Relationships with Tree Species Diversity and Forest Structures
title_sort aboveground biomass and carbon in a south african mistbelt forest and the relationships with tree species diversity and forest structures
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2016-04-01
description Biomass and carbon stocks are key information criteria to understand the role of forests in regulating global climate. However, for a bio-rich continent like Africa, ground-based measurements for accurate estimation of carbon are scarce, and the variables affecting the forest carbon are not well understood. Here, we present the first biomass study conducted in South Africa Mistbelt forests. Using data from a non-destructive sampling of 59 trees of four species, we (1) evaluated the accuracy of multispecies aboveground biomass (AGB) models, using predictors such as diameter at breast height (DBH), total height (H) and wood density; (2) estimated the amount of biomass and carbon stored in the aboveground compartment of Mistbelt forests and (3) explored the variation of aboveground carbon (AGC) in relation to tree species diversity and structural variables. We found significant effects of species on wood density and AGB. Among the candidate models, the model that incorporated DBH and H as a compound variable (DBH2 × H) was the best fitting. AGB and AGC values were highly variable across all plots, with average values of 358.1 Mg·ha−1 and 179.0 Mg·C·ha−1, respectively. Few species contributed 80% of AGC stock, probably as a result of selection effect. Stand basal area, basal area of the ten most important species and basal area of the largest trees were the most influencing variables. Tree species richness was also positively correlated with AGC, but the basal area of smaller trees was not. These results enable insights into the role of biodiversity in maintaining carbon storage and the possibilities for sustainable strategies for timber harvesting without risk of significant biomass decline.
topic climate regulation
non-destructive sampling
allometric equations
wood density
carbon density
url http://www.mdpi.com/1999-4907/7/4/79
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