The distribution of carbon stocks between tree woody biomass and soil differs between Scots pine and broadleaved species (beech, oak) in European forests-Reference-Cited by-同舟云学术

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The distribution of carbon stocks between tree woody biomass and soil differs between Scots pine and broadleaved species (beech, oak) in European forests

Published:2022-04-20 Issue:3 Volume:141 Page:467-480
ISSN:1612-4669
Container-title:European Journal of Forest Research
language:en
Short-container-title:Eur J Forest Res

Author:

Osei Richard^ORCID,del Río Miren^ORCID,Ruiz-Peinado Ricardo^ORCID,Titeux Hugues^ORCID,Bielak Kamil^ORCID,Bravo Felipe^ORCID,Collet Catherine^ORCID,Cools Corentin,Cornelis Jean-Thomas^ORCID,Drössler Lars^ORCID,Heym Michael^ORCID,Korboulewsky Nathalie^ORCID,Löf Magnus^ORCID,Muys Bart^ORCID,Najib Yasmina,Nothdurft Arne^ORCID,Pretzsch Hans^ORCID,Skrzyszewski Jerzy^ORCID,Ponette Quentin^ORCID

Funder

European Cooperation in Science and Technology

Fonds De La Recherche Scientifique - FNRS

Polish Sate Forest Enterprise.

National Forest Service, France

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Forestry

Link

https://link.springer.com/content/pdf/10.1007/s10342-022-01453-9.pdf

Reference61 articles.

1. Ammer C (2019) Diversity and forest productivity in a changing climate. New Phytol 221(1):50–66. https://doi.org/10.1111/nph.15263

2. Bahru T, Ding Y (2020) Effect of stand density, canopy leaf area index and growth variables on Dendrocalamus brandisii (Munro) Kurz litter production at Simao District of Yunnan Province, southwestern China. Global Ecol Conserv 23:e01051. https://doi.org/10.1016/j.gecco.2020.e01051

3. Barton K (2020) MuMIn: Multi-Model Inference. R package version 1.43.17. https://CRAN.R-project.org/package=MuMIn

4. Bastin JF, Finegold Y, Garcia C, Mollicone D, Rezend M, Rout D, Zohner CM, Crowther TW (2019) The global tree restoration potential. Science 365:76–79. https://doi.org/10.1126/science.aax0848

5. Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67(1):1–48

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