High Conservation Value Forests, Sweden (HCVFSw)

SND-ID: 2024-49. Version: 1. DOI: https://doi.org/10.5878/wa6j-4b84

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Citation

Creator/Principal investigator(s)

Bengt Gunnar Jonsson - Mid Sweden University, Department of Natural Science, Design and Sustainable Development

Jakub Bubnicki - Polish Academy of Sciences, Mammal Research Institute, Division of Population Ecology, Białowieża, Poland

Per Angelstam - Swedish University of Agricultural Sciences, School for Forest Management

Grzegorz Mikusiński - Swedish University of Agricultural Sciences, School for Forest Management

Johan Svensson - Swedish University of Agricultural Sciences, Department of Wildlife, Fish, and Environmental Studies

Research principal

Mid Sweden University - Department of Natural Sciences, Design and Sustainable Development

Principal's reference number

MIUN 2023/448

Description

HCVFSw has been developed through a machine learning algorithm (Random Forest Classifier) as a part of a research project financed by the Swedish Environmental Protection Agency. It is based on a large set of biophysical and socio-economic variables, including known occurrences of high conservation values forests (HCVF) and provides a wall-to-wall prediction of the relative likelihood that single hectares (100x100 m), dominated by forest (≥50%), constitute HCVF. The predictions are continuous from 100% to 0% (1 to 0). HCVFSw can therefore be regarded as a first step towards identifying areas that are in need of protection, conservation management and restoration as well for increased environmental concern during forestry operations. HCVFSw is primarily aimed for geographical planning and not a description of actual natural values in singel forest stands. HCVFSw may also be used to identify areas where forestry can continue without major conflicts with existing natural values

Data contains personal data

Language

English

Swedish

Method and outcome

Time period(s) investigated

2020-01-01 – 2022-04-01

Variables

Data format / data structure

Still image

Geospatial

Data collection

Mode of collection: Compilation/Synthesis
Description of the mode of collection: Open available data on the occurrence of High Conservation Value Forests and wall-to-wall geographical data on environmental variables (total 125 variables) that describes aspects of the Swedish forest landscape
Time period(s) for data collection: 1990-01-01 – 2022-04-01
Spatial resolution: 100 metres

Geographic coverage

Geographic spread

Geographic location: Sweden

Geographic description: HCVFSw describes all of Sweden but divided into four regions; north boreal, south boreal, hemiboreal and nemoral region

Administrative information

Responsible department/unit

Department of Natural Sciences, Design and Sustainable Development

Other research principals

Swedish University of Agricultural Sciences

Contributor(s)

Malin Undin - Mid Sweden University, Department of Natural Sciences, Design and Sustainable Development

Funding

Funding agency: Swedish Environmental Protection Agency
Funding agency's reference number: 18/145
Project name on the application: Bättre sent än aldrig: indikatorer på skogslandskapets gröna infrastruktur

Topic and keywords

Research area

Environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Ecology (Standard för svensk indelning av forskningsämnen 2011)

Remote sensing (Standard för svensk indelning av forskningsämnen 2011)

Forest science (Standard för svensk indelning av forskningsämnen 2011)

Environmental sciences related to agriculture and land-use (Standard för svensk indelning av forskningsämnen 2011)

Farming (INSPIRE topic categories)

Biota (INSPIRE topic categories)

Environment (INSPIRE topic categories)

Keywords

Geo-referenced information, Digital land model, Environmental impact of forestry, Landscape conservation, Landscape ecology, Modelling, Natural value, Bio-geographical regions, Habitats and biotopes, Land cover, Land use, Protected sites, Artificial intelligence, Biodiversity

Publications

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Jonsson, B.G., Angelstam, P., Bubnicki, J.W., Mikusinski, G., Svensson, J. & Undin, M. 2024. "Naturvärdeskarta Skog: En sannolikhetsmodell för naturvärden på skogsmark". Swedish Environmental Protection Agency, report under print

Bubnicki, J.W., Angelstam, P., Mikusiński, G., Svensson, J., Jonsson, B.G. 2024. The conservation value of forests can be predicted at the scale of 1 hectare Communications Earth & Environment 5:196
DOI: https://doi.org/10.1038/s43247-024-01325-7

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Published: 2024-03-12

Last updated: 2024-04-12