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Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot

BACKGROUND: The carbon stored in vegetation varies across tropical landscapes due to a complex mix of climatic and edaphic variables, as well as direct human interventions such as deforestation and forest degradation. Mapping and monitoring this variation is essential if policy developments such as...

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Autores principales: Willcock, Simon, Phillips, Oliver L, Platts, Philip J, Balmford, Andrew, Burgess, Neil D, Lovett, Jon C, Ahrends, Antje, Bayliss, Julian, Doggart, Nike, Doody, Kathryn, Fanning, Eibleis, Green, Jonathan MH, Hall, Jaclyn, Howell, Kim L, Marchant, Rob, Marshall, Andrew R, Mbilinyi, Boniface, Munishi, Pantaleon KT, Owen, Nisha, Swetnam, Ruth D, Topp-Jorgensen, Elmer J, Lewis, Simon L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041645/
https://www.ncbi.nlm.nih.gov/pubmed/24891875
http://dx.doi.org/10.1186/1750-0680-9-2
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author Willcock, Simon
Phillips, Oliver L
Platts, Philip J
Balmford, Andrew
Burgess, Neil D
Lovett, Jon C
Ahrends, Antje
Bayliss, Julian
Doggart, Nike
Doody, Kathryn
Fanning, Eibleis
Green, Jonathan MH
Hall, Jaclyn
Howell, Kim L
Marchant, Rob
Marshall, Andrew R
Mbilinyi, Boniface
Munishi, Pantaleon KT
Owen, Nisha
Swetnam, Ruth D
Topp-Jorgensen, Elmer J
Lewis, Simon L
author_facet Willcock, Simon
Phillips, Oliver L
Platts, Philip J
Balmford, Andrew
Burgess, Neil D
Lovett, Jon C
Ahrends, Antje
Bayliss, Julian
Doggart, Nike
Doody, Kathryn
Fanning, Eibleis
Green, Jonathan MH
Hall, Jaclyn
Howell, Kim L
Marchant, Rob
Marshall, Andrew R
Mbilinyi, Boniface
Munishi, Pantaleon KT
Owen, Nisha
Swetnam, Ruth D
Topp-Jorgensen, Elmer J
Lewis, Simon L
author_sort Willcock, Simon
collection PubMed
description BACKGROUND: The carbon stored in vegetation varies across tropical landscapes due to a complex mix of climatic and edaphic variables, as well as direct human interventions such as deforestation and forest degradation. Mapping and monitoring this variation is essential if policy developments such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation) are to be known to have succeeded or failed. RESULTS: We produce a map of carbon storage across the watershed of the Tanzanian Eastern Arc Mountains (33.9 million ha) using 1,611 forest inventory plots, and correlations with associated climate, soil and disturbance data. As expected, tropical forest stores more carbon per hectare (182 Mg C ha(-1)) than woody savanna (51 Mg C ha(-1)). However, woody savanna is the largest aggregate carbon store, with 0.49 Pg C over 9.6 million ha. We estimate the whole landscape stores 1.3 Pg C, significantly higher than most previous estimates for the region. The 95% Confidence Interval for this method (0.9 to 3.2 Pg C) is larger than simpler look-up table methods (1.5 to 1.6 Pg C), suggesting simpler methods may underestimate uncertainty. Using a small number of inventory plots with two censuses (n = 43) to assess changes in carbon storage, and applying the same mapping procedures, we found that carbon storage in the tree-dominated ecosystems has decreased, though not significantly, at a mean rate of 1.47 Mg C ha(-1) yr(-1) (c. 2% of the stocks of carbon per year). CONCLUSIONS: The most influential variables on carbon storage in the region are anthropogenic, particularly historical logging, as noted by the largest coefficient of explanatory variable on the response variable. Of the non-anthropogenic factors, a negative correlation with air temperature and a positive correlation with water availability dominate, having smaller p-values than historical logging but also smaller influence. High carbon storage is typically found far from the commercial capital, in locations with a low monthly temperature range, without a strong dry season, and in areas that have not suffered from historical logging. The results imply that policy interventions could retain carbon stored in vegetation and likely successfully slow or reverse carbon emissions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1750-0680-9-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-40416452014-06-03 Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot Willcock, Simon Phillips, Oliver L Platts, Philip J Balmford, Andrew Burgess, Neil D Lovett, Jon C Ahrends, Antje Bayliss, Julian Doggart, Nike Doody, Kathryn Fanning, Eibleis Green, Jonathan MH Hall, Jaclyn Howell, Kim L Marchant, Rob Marshall, Andrew R Mbilinyi, Boniface Munishi, Pantaleon KT Owen, Nisha Swetnam, Ruth D Topp-Jorgensen, Elmer J Lewis, Simon L Carbon Balance Manag Research BACKGROUND: The carbon stored in vegetation varies across tropical landscapes due to a complex mix of climatic and edaphic variables, as well as direct human interventions such as deforestation and forest degradation. Mapping and monitoring this variation is essential if policy developments such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation) are to be known to have succeeded or failed. RESULTS: We produce a map of carbon storage across the watershed of the Tanzanian Eastern Arc Mountains (33.9 million ha) using 1,611 forest inventory plots, and correlations with associated climate, soil and disturbance data. As expected, tropical forest stores more carbon per hectare (182 Mg C ha(-1)) than woody savanna (51 Mg C ha(-1)). However, woody savanna is the largest aggregate carbon store, with 0.49 Pg C over 9.6 million ha. We estimate the whole landscape stores 1.3 Pg C, significantly higher than most previous estimates for the region. The 95% Confidence Interval for this method (0.9 to 3.2 Pg C) is larger than simpler look-up table methods (1.5 to 1.6 Pg C), suggesting simpler methods may underestimate uncertainty. Using a small number of inventory plots with two censuses (n = 43) to assess changes in carbon storage, and applying the same mapping procedures, we found that carbon storage in the tree-dominated ecosystems has decreased, though not significantly, at a mean rate of 1.47 Mg C ha(-1) yr(-1) (c. 2% of the stocks of carbon per year). CONCLUSIONS: The most influential variables on carbon storage in the region are anthropogenic, particularly historical logging, as noted by the largest coefficient of explanatory variable on the response variable. Of the non-anthropogenic factors, a negative correlation with air temperature and a positive correlation with water availability dominate, having smaller p-values than historical logging but also smaller influence. High carbon storage is typically found far from the commercial capital, in locations with a low monthly temperature range, without a strong dry season, and in areas that have not suffered from historical logging. The results imply that policy interventions could retain carbon stored in vegetation and likely successfully slow or reverse carbon emissions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1750-0680-9-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2014-04-28 /pmc/articles/PMC4041645/ /pubmed/24891875 http://dx.doi.org/10.1186/1750-0680-9-2 Text en © Willcock et al.; licensee Springer. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Willcock, Simon
Phillips, Oliver L
Platts, Philip J
Balmford, Andrew
Burgess, Neil D
Lovett, Jon C
Ahrends, Antje
Bayliss, Julian
Doggart, Nike
Doody, Kathryn
Fanning, Eibleis
Green, Jonathan MH
Hall, Jaclyn
Howell, Kim L
Marchant, Rob
Marshall, Andrew R
Mbilinyi, Boniface
Munishi, Pantaleon KT
Owen, Nisha
Swetnam, Ruth D
Topp-Jorgensen, Elmer J
Lewis, Simon L
Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot
title Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot
title_full Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot
title_fullStr Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot
title_full_unstemmed Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot
title_short Quantifying and understanding carbon storage and sequestration within the Eastern Arc Mountains of Tanzania, a tropical biodiversity hotspot
title_sort quantifying and understanding carbon storage and sequestration within the eastern arc mountains of tanzania, a tropical biodiversity hotspot
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041645/
https://www.ncbi.nlm.nih.gov/pubmed/24891875
http://dx.doi.org/10.1186/1750-0680-9-2
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