Cargando…
Modeling and empirical validation of long‐term carbon sequestration in forests (France, 1850–2015)
The development of appropriate tools to quantify long‐term carbon (C) budgets following forest transitions, that is, shifts from deforestation to afforestation, and to identify their drivers are key issues for forging sustainable land‐based climate‐change mitigation strategies. Here, we develop a ne...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154705/ https://www.ncbi.nlm.nih.gov/pubmed/31958195 http://dx.doi.org/10.1111/gcb.15004 |
_version_ | 1783521876466728960 |
---|---|
author | Le Noë, Julia Matej, Sarah Magerl, Andreas Bhan, Manan Erb, Karl‐Heinz Gingrich, Simone |
author_facet | Le Noë, Julia Matej, Sarah Magerl, Andreas Bhan, Manan Erb, Karl‐Heinz Gingrich, Simone |
author_sort | Le Noë, Julia |
collection | PubMed |
description | The development of appropriate tools to quantify long‐term carbon (C) budgets following forest transitions, that is, shifts from deforestation to afforestation, and to identify their drivers are key issues for forging sustainable land‐based climate‐change mitigation strategies. Here, we develop a new modeling approach, CRAFT (CaRbon Accumulation in ForesTs) based on widely available input data to study the C dynamics in French forests at the regional scale from 1850 to 2015. The model is composed of two interconnected modules which integrate biomass stocks and flows (Module 1) with litter and soil organic C (Module 2) and build upon previously established coupled climate‐vegetation models. Our model allows to develop a comprehensive understanding of forest C dynamics by systematically depicting the integrated impact of environmental changes and land use. Model outputs were compared to empirical data of C stocks in forest biomass and soils, available for recent decades from inventories, and to a long‐term simulation using a bookkeeping model. The CRAFT model reliably simulates the C dynamics during France's forest transition and reproduces C‐fluxes and stocks reported in the forest and soil inventories, in contrast to a widely used bookkeeping model which strictly only depicts C‐fluxes due to wood extraction. Model results show that like in several other industrialized countries, a sharp increase in forest biomass and SOC stocks resulted from forest area expansion and, especially after 1960, from tree growth resulting in vegetation thickening (on average 7.8 Mt C/year over the whole period). The difference between the bookkeeping model, 0.3 Mt C/year in 1850 and 21 Mt C/year in 2015, can be attributed to environmental and land management changes. The CRAFT model opens new grounds for better quantifying long‐term forest C dynamics and investigating the relative effects of land use, land management, and environmental change. |
format | Online Article Text |
id | pubmed-7154705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71547052020-04-14 Modeling and empirical validation of long‐term carbon sequestration in forests (France, 1850–2015) Le Noë, Julia Matej, Sarah Magerl, Andreas Bhan, Manan Erb, Karl‐Heinz Gingrich, Simone Glob Chang Biol Primary Research Articles The development of appropriate tools to quantify long‐term carbon (C) budgets following forest transitions, that is, shifts from deforestation to afforestation, and to identify their drivers are key issues for forging sustainable land‐based climate‐change mitigation strategies. Here, we develop a new modeling approach, CRAFT (CaRbon Accumulation in ForesTs) based on widely available input data to study the C dynamics in French forests at the regional scale from 1850 to 2015. The model is composed of two interconnected modules which integrate biomass stocks and flows (Module 1) with litter and soil organic C (Module 2) and build upon previously established coupled climate‐vegetation models. Our model allows to develop a comprehensive understanding of forest C dynamics by systematically depicting the integrated impact of environmental changes and land use. Model outputs were compared to empirical data of C stocks in forest biomass and soils, available for recent decades from inventories, and to a long‐term simulation using a bookkeeping model. The CRAFT model reliably simulates the C dynamics during France's forest transition and reproduces C‐fluxes and stocks reported in the forest and soil inventories, in contrast to a widely used bookkeeping model which strictly only depicts C‐fluxes due to wood extraction. Model results show that like in several other industrialized countries, a sharp increase in forest biomass and SOC stocks resulted from forest area expansion and, especially after 1960, from tree growth resulting in vegetation thickening (on average 7.8 Mt C/year over the whole period). The difference between the bookkeeping model, 0.3 Mt C/year in 1850 and 21 Mt C/year in 2015, can be attributed to environmental and land management changes. The CRAFT model opens new grounds for better quantifying long‐term forest C dynamics and investigating the relative effects of land use, land management, and environmental change. John Wiley and Sons Inc. 2020-02-13 2020-04 /pmc/articles/PMC7154705/ /pubmed/31958195 http://dx.doi.org/10.1111/gcb.15004 Text en © 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Primary Research Articles Le Noë, Julia Matej, Sarah Magerl, Andreas Bhan, Manan Erb, Karl‐Heinz Gingrich, Simone Modeling and empirical validation of long‐term carbon sequestration in forests (France, 1850–2015) |
title | Modeling and empirical validation of long‐term carbon sequestration in forests (France, 1850–2015) |
title_full | Modeling and empirical validation of long‐term carbon sequestration in forests (France, 1850–2015) |
title_fullStr | Modeling and empirical validation of long‐term carbon sequestration in forests (France, 1850–2015) |
title_full_unstemmed | Modeling and empirical validation of long‐term carbon sequestration in forests (France, 1850–2015) |
title_short | Modeling and empirical validation of long‐term carbon sequestration in forests (France, 1850–2015) |
title_sort | modeling and empirical validation of long‐term carbon sequestration in forests (france, 1850–2015) |
topic | Primary Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154705/ https://www.ncbi.nlm.nih.gov/pubmed/31958195 http://dx.doi.org/10.1111/gcb.15004 |
work_keys_str_mv | AT lenoejulia modelingandempiricalvalidationoflongtermcarbonsequestrationinforestsfrance18502015 AT matejsarah modelingandempiricalvalidationoflongtermcarbonsequestrationinforestsfrance18502015 AT magerlandreas modelingandempiricalvalidationoflongtermcarbonsequestrationinforestsfrance18502015 AT bhanmanan modelingandempiricalvalidationoflongtermcarbonsequestrationinforestsfrance18502015 AT erbkarlheinz modelingandempiricalvalidationoflongtermcarbonsequestrationinforestsfrance18502015 AT gingrichsimone modelingandempiricalvalidationoflongtermcarbonsequestrationinforestsfrance18502015 |