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Annikki Mäkelä

University of Helsinki

University of Helsinki

Helsinki, FIN-00014

Finland

SCHOLARLY PAPERS

4

DOWNLOADS

184

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Growth, Yield and Carbon Sequestration of Even-Aged and Uneven-Aged Norway Spruce Stands – Evaluation and Application of a Process-Based Model

Number of pages: 42 Posted: 29 Aug 2022
Annikki Mäkelä, Atte Kumpu and Sauli Valkonen
University of Helsinki, University of Helsinki and Natural Resources Institute Finland
Downloads 73 (852,604)

Abstract:

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ingrowth, mortality, continuous cover, selection forestry, model evaluation, mean annual increment

2.

Climate Change Impacts on Boreal Forest Growth – Does Nitrogen Limitation Matter?

Number of pages: 55 Posted: 15 Jul 2025
University of Helsinki, affiliation not provided to SSRN, University of Helsinki, Government of the Republic of Finland - Finnish Environment Institute, Swedish University of Agricultural Sciences and Natural Resources Institute Finland
Downloads 53 (1,052,702)

Abstract:

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process model, N uptake, coniferous forest, climate model, photosynthesis, CO2 fertilisation

3.

Testing the Application of Process-Based Forest Growth Model Prebas to Uneven-Aged Forests in Finland

Number of pages: 32 Posted: 28 Jun 2022
affiliation not provided to SSRN, University of Helsinki, Natural Resources Institute Finland, Government of the Republic of Finland - Finnish Environment Institute and University of Helsinki
Downloads 48 (1,086,013)

Abstract:

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Process-based model, Uneven-aged forest, Size classes, Layer photosynthesis, Mortality

4.

An Unsupervised Machine Learning Approach for Enhancing Forest Structure Estimation in Uneven-Aged Stands

Number of pages: 33 Posted: 17 Jan 2026
University of Helsinki - Department of Forest Sciences, University of Helsinki, University of Helsinki, University of Helsinki and University of Helsinki
Downloads 10 (1,548,648)

Abstract:

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Unsupervised Clustering Analysis, Principal Component Analysis (PCA), Density-Based Clustering Algorithm (DBSCAN), Hierarchical Clustering (HC), Gaussian Mixture clustering (GM), Forest modelling