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Dual modeling approach reveals : need for assisted migration to mitigate loss of forest productivity in Europe
ID
Wöhlbrandt, Anna
(
Author
),
ID
Skudnik, Mitja
(
Author
), et al.
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MD5: 0EB73C4F04D316BC076DB7DE321B1D49
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https://www.sciencedirect.com/science/article/pii/S030147972600602X
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Abstract
Tree species selection is a critical forest management decision, raising fundamental questions: which species will survive and thrive under future climates, where, and to what extent? To address these questions, we applied a dual-model approach that combines 23 site index models with species distribution models. Drawing on a pan-European dataset of six million individual trees, the models project top height (site index) and climatic suitability (species distribution) for a reference period (1981–2010) and two future periods (2041–2070 and 2071–2100) under RCP4.5 and RCP8.5 scenarios. By integrating site index predictions with low-risk species distribution classifications, we restricted growth projections to climatically suitable ranges derived from Species distribution models (SDMs). Our analysis examined four key aspects: (1) overall changes in forest productivity, (2) regional gains and losses for each species across five major European regions, (3) the most productive species by region, and (4) species with the greatest productivity gains (“winners”). Results reveal contrasting trends: productivity is projected to increase in northern Europe but decline in southern and central regions. Beneficiary species include Douglas-fir, Norway spruce, and European larch in the north, and downy oak and black locust in the south. These findings point to potential management-relevant patterns, suggesting that non-native species may become increasingly suitable in northern regions, while southern forests may require a broader portfolio of adaptation and mitigation strategies to cope with projected productivity declines.
Language:
English
Keywords:
forest productivity
,
climate-adapted management
,
assisted migration
,
tree species selection
,
modelling
,
Europe
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
BF - Biotechnical Faculty
Publication status:
Published
Publication version:
Version of Record
Year:
2026
Number of pages:
11 str.
Numbering:
Vol. 404, art. 129142
PID:
20.500.12556/RUL-181030
UDC:
630*61:551.588.7(4)
ISSN on article:
1095-8630
DOI:
10.1016/j.jenvman.2026.129142
COBISS.SI-ID:
272644867
Publication date in RUL:
23.03.2026
Views:
204
Downloads:
222
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Record is a part of a journal
Title:
Journal of environmental management
Publisher:
Elsevier
ISSN:
1095-8630
COBISS.SI-ID:
107255555
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
podnebju prilagojeno gospodarjenje z gozdovi
,
asistirana migracija
,
izbira drevesnih vrst
,
modeliranje
,
Evropa
Projects
Funder:
Other - Other funder or multiple funders
Funding programme:
German Federal Ministry of Food and Agriculture
Project number:
2220WK08A4
Name:
Verbundvorhaben: Evidenzbasierte Anbauempfehlungen im Klimawandel; Teilvorhaben 1: Modellierung von Vorkommen und Herkünften
Acronym:
EVA-KW
Funder:
Other - Other funder or multiple funders
Funding programme:
German Federal Ministry of Food and Agriculture
Project number:
2220WK08B4
Name:
Verbundvorhaben: Evidenzbasierte Anbauempfehlungen im Klimawandel; Teilvorhaben 2: Modellierung des Wachstums
Acronym:
EVA-KW
Funder:
EC - European Commission
Project number:
101056907
Name:
Towards an Integrated Consistent European LULUCF Monitoring and Policy Pathway Assessment Framework.
Acronym:
PathFinder
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