Datasets for deriving functions for the stem- and branchwood volume in the Swiss National Forest Inventory
In the Swiss National Forest Inventory (NFI) the volume of the stem and of large (≥ 7cm in diameter) and small branches is estimated based on allometric functions. These functions were developed based on data collected within the permanent plot network of the Experimental Forest Management (EFM) sites at WSL (David I. Forrester; Hubert Schmid; Jens Nitzsche (2021). The Experimental Forest Management network. EnviDat. doi: 10.16904/envidat.213). The data were converted to digital format in two separate steps in the mid-1970s for stemwood and the mid-1980s for branchwood.
The dataset on stemwood volume contains 38’864 single tree data for the mean crosswise diameter at two meter sections along the stem plus an additional measurements at 1.3 m (i.e. DBH) where the diameter is greater than or equal to 7 cm (i.e. threshold of merchantable wood) and the lengths of the stem from the base to the threshold of merchantable wood and to the tree top. The measurements were collected on 768 EFM sites in the period 1888 to 1974. The dataset on branchwood is based on a subset of the stemwood data and contains in the raw format information on 14'712 single trees. It includes aggregated data from the stemwood dataset, i.e. the DBH, the stem-diameter at 7 m from the base, and the tree height from the base to the top, as well as the measured volume of large and small branches.
In 2022, the metadata of both datasets were checked, values were examined for plausibility and duplicated entries. Duplicates were removed as far as possible and the branchwood volume data were appended to the stemwood dataset to obtain a final, single file with matching single tree data. Following this evaluation the final dataset consisted of a total of 38’841 trees including 14’038 trees with measured branchwood data.
Funding Information:
This work was supported by:
Related Datasets
David I. Forrester; Hubert Schmid; Jens Nitzsche (2021). The Experimental Forest Management network. EnviDat. doi: 10.16904/envidat.213.
Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. doi:10.21258/1057112
Citation:
Didion, Markus; Herold, Anne; Vulovic, Zeljka; Nitzsche, Jens; Stillhard, Jonas (2022). Datasets for deriving functions for the stem- and branchwood volume in the Swiss National Forest Inventory. EnviDat. doi:10.16904/envidat.358.
DataCite
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GCMD DIF
README.txt
BibTex
RIS
Metadata
Field |
Values |
DOI |
10.16904/envidat.358
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Publication State |
Published |
Authors |
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Email:
markus.didionfoo(at)wsl.ch
ORCID:
0000-0003-0346-0646
Given Name:
Markus
Family Name:
Didion
Affiliation:
WSL
DataCRediT:
Validation, Curation, Software, Publication, Supervision
-
Email:
anne.herold.wsl.ch
Given Name:
Anne
Family Name:
Herold
Affiliation:
WSL
DataCRediT:
Validation, Curation, Publication
-
Email:
zeljka.vulovicfoo(at)wsl.ch
Given Name:
Zeljka
Family Name:
Vulovic
Affiliation:
WSL
DataCRediT:
Validation, Curation, Publication
-
Email:
jens.nitzschefoo(at)wsl.ch
Given Name:
Jens
Family Name:
Nitzsche
Affiliation:
WSL
DataCRediT:
Validation, Curation, Publication
-
Email:
jonas.stillhardfoo(at)wsl.ch
Given Name:
Jonas
Family Name:
Stillhard
Affiliation:
WSL
DataCRediT:
Validation, Curation, Publication
|
Contact Person |
Given Name:
Markus
Family Name:
Didion
Email:
markus.didionfoo(at)wsl.ch
Affiliation:
WSL
ORCID:
0000-0003-0346-0646
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Subtitles |
|
Publication |
Publisher:
EnviDat
Year:
2022
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Dates |
-
Type:
Created
Date:
2022-11-23
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Version |
1.0 |
Type |
dataset |
General Type |
Dataset |
Language |
English |
Location |
Switzerland |
Content License |
WSL Data Policy
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Last Updated |
December 5, 2022, 14:23 (UTC)
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Created |
December 5, 2022, 13:56 (UTC)
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