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  Combining multiple statistical methods to evaluate the performance of process-based vegetation models across three forest stands

Horemans, J. A., Henrot, A., Delire, C., Kollas, C., Lasch-Born, P., Reyer, C., Suckow, F., François, L., Ceulemans, R. (2017): Combining multiple statistical methods to evaluate the performance of process-based vegetation models across three forest stands. - Central European Forestry Journal, 63, 4, 153-172.
https://doi.org/10.1515/forj-2017-0025

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_21942 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_21942_2
Genre: Journal Article

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 Creators:
Horemans, J. A.1, Author
Henrot, A.1, Author
Delire, C.1, Author
Kollas, C.1, Author
Lasch-Born, P.1, Author
Reyer, C.1, Author
Suckow, F.1, Author
François, L.1, Author
Ceulemans, R.1, Author
Affiliations:
1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              

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 Dates: 2017
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: DOI: 10.1515/forj-2017-0025
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 7792
Working Group: Forest and Ecosystem Resilience
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Title: Central European Forestry Journal
Source Genre: Journal
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Pages: - Volume / Issue: 63 (4) Sequence Number: - Start / End Page: 153 - 172 Identifier: -