Open geospatial data can predict the early field performance of Scots pine, Norway spruce and silver birch seedlings in Nordic boreal forests-Reference-Cited by-同舟云学术

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Open geospatial data can predict the early field performance of Scots pine, Norway spruce and silver birch seedlings in Nordic boreal forests

Published:2024-07-03 Issue:5 Volume:39 Page:232-247
ISSN:0282-7581
Container-title:Scandinavian Journal of Forest Research
language:en
Short-container-title:Scandinavian Journal of Forest Research

Author:

Miina Jari¹^ORCID,Salmivaara Aura²^ORCID,Uotila Karri³^ORCID,Luoranen Jaana³^ORCID,Huuskonen Saija²^ORCID

Affiliation:

1. Natural Resources, Natural Resources Institute Finland (Luke), Joensuu, Finland

2. Natural Resources, Natural Resources Institute Finland (Luke), Helsinki, Finland

3. Natural Resources, Natural Resources Institute Finland (Luke), Suonenjoki, Finland

Funder

Finnish Ministry of Agriculture and Forestry, through the projects Forest Management Regimes of Mixed Forests

Diversifying the selection of tree species in forestry to increase climate resistance

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02827581.2024.2390910

Reference79 articles.

1. GIS-based modeling of forest soil moisture regime classes: Using Rinker Lake in northwestern Ontario, Canada as a case study

2. Bartoń K. 2020. MuMIn: multi-model inference. R package version 1.43.17. https://CRAN.R-project.org/package=MuMIn.

3. Development of young mixed Norway spruce and Scots pine stands with juvenile stand management in Finland

4. Forest types and their significance

5. Nitrogen pools and C:N ratios in well-drained Nordic forest soils related to climate and soil texture;Callesen I;Boreal Environ Res,2007

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