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Trade-Offs for Climate-Smart Forestry in Europe Under Uncertain Future Climate

Gregor, Konstantin ; Knoke, Thomas ; Krause, Andreas ; Reyer, Christopher P.O. ; Lindeskog, Mats LU ; Papastefanou, Phillip LU ; Smith, Benjamin LU ; Lansø, Anne Sofie and Rammig, Anja LU (2022) In Earth's Future 10(9).
Abstract

Forests mitigate climate change by storing carbon and reducing emissions via substitution effects of wood products. Additionally, they provide many other important ecosystem services (ESs), but are vulnerable to climate change; therefore, adaptation is necessary. Climate-smart forestry combines mitigation with adaptation, whilst facilitating the provision of many ESs. This is particularly challenging due to large uncertainties about future climate. Here, we combined ecosystem modeling with robust multi-criteria optimization to assess how the provision of various ESs (climate change mitigation, timber provision, local cooling, water availability, and biodiversity habitat) can be guaranteed under a broad range of climate futures across... (More)

Forests mitigate climate change by storing carbon and reducing emissions via substitution effects of wood products. Additionally, they provide many other important ecosystem services (ESs), but are vulnerable to climate change; therefore, adaptation is necessary. Climate-smart forestry combines mitigation with adaptation, whilst facilitating the provision of many ESs. This is particularly challenging due to large uncertainties about future climate. Here, we combined ecosystem modeling with robust multi-criteria optimization to assess how the provision of various ESs (climate change mitigation, timber provision, local cooling, water availability, and biodiversity habitat) can be guaranteed under a broad range of climate futures across Europe. Our optimized portfolios contain 29% unmanaged forests, and implicate a successive conversion of 34% of coniferous to broad-leaved forests (11% vice versa). Coppices practically vanish from Southern Europe, mainly due to their high water requirement. We find the high shares of unmanaged forests necessary to keep European forests a carbon sink while broad-leaved and unmanaged forests contribute to local cooling through biogeophysical effects. Unmanaged forests also pose the largest benefit for biodiversity habitat. However, the increased shares of unmanaged and broad-leaved forests lead to reductions in harvests. This raises the question of how to meet increasing wood demands without transferring ecological impacts elsewhere or enhancing the dependence on more carbon-intensive industries. Furthermore, the mitigation potential of forests depends on assumptions about the decarbonization of other industries and is consequently crucially dependent on the emission scenario. Our findings highlight that trade-offs must be assessed when developing concrete strategies for climate-smart forestry.

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author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
climate change mitigation, climate-smart forestry, ecosystem services, forest management, robust optimization, substitution effects
in
Earth's Future
volume
10
issue
9
article number
e2022EF002796
publisher
John Wiley & Sons Inc.
external identifiers
  • scopus:85139133951
ISSN
2328-4277
DOI
10.1029/2022EF002796
language
English
LU publication?
yes
id
801aff33-6acf-473f-9ce4-469a52cf484c
date added to LUP
2022-12-12 10:36:17
date last changed
2022-12-12 10:36:17
@article{801aff33-6acf-473f-9ce4-469a52cf484c,
  abstract     = {{<p>Forests mitigate climate change by storing carbon and reducing emissions via substitution effects of wood products. Additionally, they provide many other important ecosystem services (ESs), but are vulnerable to climate change; therefore, adaptation is necessary. Climate-smart forestry combines mitigation with adaptation, whilst facilitating the provision of many ESs. This is particularly challenging due to large uncertainties about future climate. Here, we combined ecosystem modeling with robust multi-criteria optimization to assess how the provision of various ESs (climate change mitigation, timber provision, local cooling, water availability, and biodiversity habitat) can be guaranteed under a broad range of climate futures across Europe. Our optimized portfolios contain 29% unmanaged forests, and implicate a successive conversion of 34% of coniferous to broad-leaved forests (11% vice versa). Coppices practically vanish from Southern Europe, mainly due to their high water requirement. We find the high shares of unmanaged forests necessary to keep European forests a carbon sink while broad-leaved and unmanaged forests contribute to local cooling through biogeophysical effects. Unmanaged forests also pose the largest benefit for biodiversity habitat. However, the increased shares of unmanaged and broad-leaved forests lead to reductions in harvests. This raises the question of how to meet increasing wood demands without transferring ecological impacts elsewhere or enhancing the dependence on more carbon-intensive industries. Furthermore, the mitigation potential of forests depends on assumptions about the decarbonization of other industries and is consequently crucially dependent on the emission scenario. Our findings highlight that trade-offs must be assessed when developing concrete strategies for climate-smart forestry.</p>}},
  author       = {{Gregor, Konstantin and Knoke, Thomas and Krause, Andreas and Reyer, Christopher P.O. and Lindeskog, Mats and Papastefanou, Phillip and Smith, Benjamin and Lansø, Anne Sofie and Rammig, Anja}},
  issn         = {{2328-4277}},
  keywords     = {{climate change mitigation; climate-smart forestry; ecosystem services; forest management; robust optimization; substitution effects}},
  language     = {{eng}},
  number       = {{9}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Earth's Future}},
  title        = {{Trade-Offs for Climate-Smart Forestry in Europe Under Uncertain Future Climate}},
  url          = {{http://dx.doi.org/10.1029/2022EF002796}},
  doi          = {{10.1029/2022EF002796}},
  volume       = {{10}},
  year         = {{2022}},
}