Branch and crown data for the living part of the tree crown in an uneven-sized Norway spruce dominated stand in northern Scania, Sweden. The objective is to create a model for knot size depending on the local competition status around of the individual tree. The data contains information on maximum branch length at 30 cm intervals along the entire tree height. A smaller part of the observations are linked to branch diameter. Tree-level data includes growth, tree position, and crown data. Data collection between 2016 and 2018 as part of a PhD project at Linnaeus University, Dept. of Forestry and Wood Technology. The data collection site is marked in the field.

The file "Combined adjusted h0a clean V2.csv" contains data with 3,803 height section observations from Simontorp's sample plot distributed on 80 Norway spruce trees. The data represent branch data from the living part of the crown. 58 variables, i.a. horizontal branch length, branch diameter, whorl height, tree diameter and tree position. The variables are explained in "Branch data designations.xlsx".

The file "Branchdata 20-12-03.csv" contains data from 4,089 branch and branch rotation observations from the same plot, with measurements up to 5.5m stem height. 25 variables, including branch diameter and branch position on the stem. An explanation of the variables can be found in "Designations flat data ver4.xlsx".

There is also a central file "N1b_all_sep.xlsx" which contains data for tree species, tree diameter and tree position for all trees >6 cm dbh in the sample plot (see sheet "Simontorp"). Explanations are found in a separate sheet in the same data file, as well as in the documentation file "Plantor och ståndort.docx". However, these two files are published under another entry in SND (2021-174 Tree growth and position data from Linnaeus University's uneven-sized plots, linked from this entry) and can be downloaded from there. Show less..

Data contains personal data

Language

English

Swedish

Method and outcome

Time period(s) investigated

2017 – 2018

Variables

Data format / data structure

Species and taxons

Data collection

Mode of collection: Measurements and tests
Description of the mode of collection: Terrestrial laser and manual measurements
Time period(s) for data collection: 2017-10-16 – 2018-11-20
Instrument: Ultra sonic positioning (Technical instrument(s)) - Postex
Instrument: Terrestrial laser (Technical instrument(s)) - Leica P40 Terrestrial laser
Spatial resolution: 0.01 metres

Geographic coverage

Geographic spread

Geographic location: Sweden, Skåne County, Småland Province

Geographic description: The data plot is placed in the municipality of Glimåkra.

Administrative information

Responsible department/unit

Department of Forestry and Wood Technology

Contributor(s)

Anders Blidberg - Simontorp Konsult AB

Funding

Funding agency: Formas
Funding agency's reference number: 2015-01409_Formas
Project name on the application: Continuous cover forestry systems: interaction between management practice, wood quality and economic viability

Topic and keywords

Research area

Forest science (Standard för svensk indelning av forskningsämnen 2011)

Farming (INSPIRE topic categories)

Environment (INSPIRE topic categories)

Keywords

Forest exploitation, Tree, Land use, Statistical units, Timber growing, Norway spruce, Tree stand, Uneven-sized stand, Tree positions, Branch size, Knot size

Publications

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Fagerberg, N. (2022). Individual-tree-selection in uneven-sized Norway spruce stands in southern Sweden: Developments of tools for simulation and optimization (Doctoral Dissertation, Linnaeus University, Department of Forestry and Wood Technology). Linnaeus University Press.
ISBN: 9789189709478
DOI: https://doi.org/10.15626/LUD.467.2022
URN: urn:nbn:se:lnu:diva-116633
SwePub: oai:DiVA.org:lnu-116633

Fagerberg, N. et al. (2022). Individual-tree distance-dependent growth models for uneven-sized Norway spruce. Forestry, 95(5), 634–646.
URN: urn:nbn:se:lnu:diva-112972
DOI: https://doi.org/10.1093/forestry/cpac017
SwePub: oai:DiVA.org:lnu-112972

Lohmander, P. & Fagerberg, N. (2022). Statistics and Mathematics of General Control Function Optimization for Continuous Cover Forestry, with a Swedish Case Study based on Picea abies. Asian Journal of Statistical Sciences, 2(1), 1–35. https://www.arfjournals.com/image/catalog/Journals%20Papers/AJSS/2022/No%201%20(2022)/1.%20AJSS_01-35.pdf
ISSN: 2582-9912

Fagerberg, N. (2021). Some specific sub-models for simulation of uneven-sized Norway spruce: within contexts of forest management, stem quality and tree growth. Department of Forestry and Wood Technology, Linnaeus University.
URN: urn:nbn:se:lnu:diva-107671
SwePub: oai:DiVA.org:lnu-107671

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Published: 2023-06-16

Last updated: 2024-05-21