Assessing the response of forest productivity to climate extremes in Switzerland using model

Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion

Published:2020-02-18 Issue:4 Volume:26 Page:2463-2476
ISSN:1354-1013
Container-title:Global Change Biology
language:en
Short-container-title:Glob Change Biol

Author:

Trotsiuk Volodymyr¹²³⁴^ORCID,Hartig Florian⁵^ORCID,Cailleret Maxime²³⁶^ORCID,Babst Flurin²⁷^ORCID,Forrester David I.²³^ORCID,Baltensweiler Andri²^ORCID,Buchmann Nina¹³^ORCID,Bugmann Harald³⁸^ORCID,Gessler Arthur²³⁸^ORCID,Gharun Mana¹^ORCID,Minunno Francesco⁹,Rigling Andreas²³⁸^ORCID,Rohner Brigitte²³^ORCID,Stillhard Jonas²^ORCID,Thürig Esther²³^ORCID,Waldner Peter²³^ORCID,Ferretti Marco²³^ORCID,Eugster Werner¹³^ORCID,Schaub Marcus²³^ORCID

Affiliation:

1. Department of Environmental Systems Science Institute of Agricultural Sciences ETH Zurich Zurich Switzerland

2. Swiss Federal Institute for Forest, Snow and Landscape Research WSL Birmensdorf Switzerland

3. SwissForestLab Birmensdorf Switzerland

4. Faculty of Forestry and Wood Sciences Department of Forest Ecology Czech University of Life Sciences Prague Prague Czech Republic

5. Theoretical Ecology University of Regensburg Regensburg Germany

6. INRAE Aix‐Marseille Université UMR RECOVER Aix‐en‐Provence France

7. W. Szafer Institute of Botany Polish Academy of Sciences Krakow Poland

8. Department of Environmental Systems Science Institute of Terrestrial Ecosystems ETH Zurich Zurich Switzerland

9. Department of Forest Sciences University of Helsinki Helsinki Finland

Funder

Fundacja na rzecz Nauki Polskiej

European Regional Development Fund

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15011

Reference108 articles.

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4. The Data Assimilation Research Testbed: A Community Facility

5. Productivity of Fagus sylvatica under climate change – A Bayesian analysis of risk and uncertainty using the model 3-PG

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