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Global spatially explicit CO(2) emission metrics for forest bioenergy
Emission metrics aggregate climate impacts of greenhouse gases to common units such as CO(2)-equivalents (CO(2)-eq.). Examples include the global warming potential (GWP), the global temperature change potential (GTP) and the absolute sustained emission temperature (aSET). Despite the importance of b...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4735754/ https://www.ncbi.nlm.nih.gov/pubmed/26830755 http://dx.doi.org/10.1038/srep20186 |
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author | Cherubini, Francesco Huijbregts, Mark Kindermann, Georg Van Zelm, Rosalie Van Der Velde, Marijn Stadler, Konstantin Strømman, Anders Hammer |
author_facet | Cherubini, Francesco Huijbregts, Mark Kindermann, Georg Van Zelm, Rosalie Van Der Velde, Marijn Stadler, Konstantin Strømman, Anders Hammer |
author_sort | Cherubini, Francesco |
collection | PubMed |
description | Emission metrics aggregate climate impacts of greenhouse gases to common units such as CO(2)-equivalents (CO(2)-eq.). Examples include the global warming potential (GWP), the global temperature change potential (GTP) and the absolute sustained emission temperature (aSET). Despite the importance of biomass as a primary energy supplier in existing and future scenarios, emission metrics for CO(2) from forest bioenergy are only available on a case-specific basis. Here, we produce global spatially explicit emission metrics for CO(2) emissions from forest bioenergy and illustrate their applications to global emissions in 2015 and until 2100 under the RCP8.5 scenario. We obtain global average values of 0.49 ± 0.03 kgCO(2)-eq. kgCO(2)(−1) (mean ± standard deviation) for GWP, 0.05 ± 0.05 kgCO(2)-eq. kgCO(2)(−1) for GTP, and 2.14·10(−14) ± 0.11·10(−14) °C (kg yr(−1))(−1) for aSET. We explore metric dependencies on temperature, precipitation, biomass turnover times and extraction rates of forest residues. We find relatively high emission metrics with low precipitation, long rotation times and low residue extraction rates. Our results provide a basis for assessing CO(2) emissions from forest bioenergy under different indicators and across various spatial and temporal scales. |
format | Online Article Text |
id | pubmed-4735754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47357542016-02-05 Global spatially explicit CO(2) emission metrics for forest bioenergy Cherubini, Francesco Huijbregts, Mark Kindermann, Georg Van Zelm, Rosalie Van Der Velde, Marijn Stadler, Konstantin Strømman, Anders Hammer Sci Rep Article Emission metrics aggregate climate impacts of greenhouse gases to common units such as CO(2)-equivalents (CO(2)-eq.). Examples include the global warming potential (GWP), the global temperature change potential (GTP) and the absolute sustained emission temperature (aSET). Despite the importance of biomass as a primary energy supplier in existing and future scenarios, emission metrics for CO(2) from forest bioenergy are only available on a case-specific basis. Here, we produce global spatially explicit emission metrics for CO(2) emissions from forest bioenergy and illustrate their applications to global emissions in 2015 and until 2100 under the RCP8.5 scenario. We obtain global average values of 0.49 ± 0.03 kgCO(2)-eq. kgCO(2)(−1) (mean ± standard deviation) for GWP, 0.05 ± 0.05 kgCO(2)-eq. kgCO(2)(−1) for GTP, and 2.14·10(−14) ± 0.11·10(−14) °C (kg yr(−1))(−1) for aSET. We explore metric dependencies on temperature, precipitation, biomass turnover times and extraction rates of forest residues. We find relatively high emission metrics with low precipitation, long rotation times and low residue extraction rates. Our results provide a basis for assessing CO(2) emissions from forest bioenergy under different indicators and across various spatial and temporal scales. Nature Publishing Group 2016-02-02 /pmc/articles/PMC4735754/ /pubmed/26830755 http://dx.doi.org/10.1038/srep20186 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Cherubini, Francesco Huijbregts, Mark Kindermann, Georg Van Zelm, Rosalie Van Der Velde, Marijn Stadler, Konstantin Strømman, Anders Hammer Global spatially explicit CO(2) emission metrics for forest bioenergy |
title | Global spatially explicit CO(2) emission metrics for forest bioenergy |
title_full | Global spatially explicit CO(2) emission metrics for forest bioenergy |
title_fullStr | Global spatially explicit CO(2) emission metrics for forest bioenergy |
title_full_unstemmed | Global spatially explicit CO(2) emission metrics for forest bioenergy |
title_short | Global spatially explicit CO(2) emission metrics for forest bioenergy |
title_sort | global spatially explicit co(2) emission metrics for forest bioenergy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4735754/ https://www.ncbi.nlm.nih.gov/pubmed/26830755 http://dx.doi.org/10.1038/srep20186 |
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