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Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry

European temperate and boreal forests sequester up to 12% of Europe’s annual carbon emissions. Forest carbon density can be manipulated through management to maximize its climate mitigation potential, and fast-growing tree species may contribute the most to Climate Smart Forestry (CSF) compared to s...

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Autores principales: Yousefpour, Rasoul, Augustynczik, Andrey Lessa Derci, Reyer, Christopher P. O., Lasch-Born, Petra, Suckow, Felicitas, Hanewinkel, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762874/
https://www.ncbi.nlm.nih.gov/pubmed/29321628
http://dx.doi.org/10.1038/s41598-017-18778-w
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author Yousefpour, Rasoul
Augustynczik, Andrey Lessa Derci
Reyer, Christopher P. O.
Lasch-Born, Petra
Suckow, Felicitas
Hanewinkel, Marc
author_facet Yousefpour, Rasoul
Augustynczik, Andrey Lessa Derci
Reyer, Christopher P. O.
Lasch-Born, Petra
Suckow, Felicitas
Hanewinkel, Marc
author_sort Yousefpour, Rasoul
collection PubMed
description European temperate and boreal forests sequester up to 12% of Europe’s annual carbon emissions. Forest carbon density can be manipulated through management to maximize its climate mitigation potential, and fast-growing tree species may contribute the most to Climate Smart Forestry (CSF) compared to slow-growing hardwoods. This type of CSF takes into account not only forest resource potentials in sequestering carbon, but also the economic impact of regional forest products and discounts both variables over time. We used the process-based forest model 4 C to simulate European commercial forests’ growth conditions and coupled it with an optimization algorithm to simulate the implementation of CSF for 18 European countries encompassing 68.3 million ha of forest (42.4% of total EU-28 forest area). We found a European CSF policy that could sequester 7.3–11.1 billion tons of carbon, projected to be worth 103 to 141 billion euros in the 21st century. An efficient CSF policy would allocate carbon sequestration to European countries with a lower wood price, lower labor costs, high harvest costs, or a mixture thereof to increase its economic efficiency. This policy prioritized the allocation of mitigation efforts to northern, eastern and central European countries and favored fast growing conifers Picea abies and Pinus sylvestris to broadleaves Fagus sylvatica and Quercus species.
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spelling pubmed-57628742018-01-17 Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry Yousefpour, Rasoul Augustynczik, Andrey Lessa Derci Reyer, Christopher P. O. Lasch-Born, Petra Suckow, Felicitas Hanewinkel, Marc Sci Rep Article European temperate and boreal forests sequester up to 12% of Europe’s annual carbon emissions. Forest carbon density can be manipulated through management to maximize its climate mitigation potential, and fast-growing tree species may contribute the most to Climate Smart Forestry (CSF) compared to slow-growing hardwoods. This type of CSF takes into account not only forest resource potentials in sequestering carbon, but also the economic impact of regional forest products and discounts both variables over time. We used the process-based forest model 4 C to simulate European commercial forests’ growth conditions and coupled it with an optimization algorithm to simulate the implementation of CSF for 18 European countries encompassing 68.3 million ha of forest (42.4% of total EU-28 forest area). We found a European CSF policy that could sequester 7.3–11.1 billion tons of carbon, projected to be worth 103 to 141 billion euros in the 21st century. An efficient CSF policy would allocate carbon sequestration to European countries with a lower wood price, lower labor costs, high harvest costs, or a mixture thereof to increase its economic efficiency. This policy prioritized the allocation of mitigation efforts to northern, eastern and central European countries and favored fast growing conifers Picea abies and Pinus sylvestris to broadleaves Fagus sylvatica and Quercus species. Nature Publishing Group UK 2018-01-10 /pmc/articles/PMC5762874/ /pubmed/29321628 http://dx.doi.org/10.1038/s41598-017-18778-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yousefpour, Rasoul
Augustynczik, Andrey Lessa Derci
Reyer, Christopher P. O.
Lasch-Born, Petra
Suckow, Felicitas
Hanewinkel, Marc
Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry
title Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry
title_full Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry
title_fullStr Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry
title_full_unstemmed Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry
title_short Realizing Mitigation Efficiency of European Commercial Forests by Climate Smart Forestry
title_sort realizing mitigation efficiency of european commercial forests by climate smart forestry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762874/
https://www.ncbi.nlm.nih.gov/pubmed/29321628
http://dx.doi.org/10.1038/s41598-017-18778-w
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