Environmental Data: Survey data on public support for forest restorati...

Keywords:
FOREST RESTORATION
HOUSEHOLD SURVEYS
PUBLIC PERCEPTIONS
SOCIO-DEMOGRAPHIC-FACTORS
SPAIN
SWEDEN
Keywords:
FOREST RESTORATION
HOUSEHOLD SURVEYS
PUBLIC PERCEPTIONS
SOCIO-DEMOGRAPHIC-FACTORS
SPAIN
SWEDEN

Description

This dataset accompanies the article Factors influencing public support for forest restoration in Europe: Evidence from Sweden and Spain, published in the ...

Citation

Kazungu, M., Svensson, J., Erdozain, M., de-Dios-García, J., Granberg, Å., Hunziker, M. (2025). Survey data on public support for forest restoration in Europe based on evidence from Sweden and Spain. EnviDat. https://www.doi.org/10.16904/envidat.694.

Resources

  • Forest_Restoration_Survey_Metadata_Sweden_Spain_2024.xlsx

    This metadata file provides detailed documentation for the survey dataset titled "Survey data on public support for forest restoration in Europe based on evidence from Sweden and Spain." It includes: Variable Map (Variable names and descriptions): Each survey item is listed alongside a clear explanation of its content and purpose. Labels Map: For categorical variables, response options are defined numerically and labelled (e.g., Likert scale options, age groups, gender). Derived variables: Several composite indicators have been created from survey responses, including support for restoration, perceived forest benefits, and perceived restoration impacts. The metadata enables accurate interpretation, reuse, and analysis of the dataset and is formatted in two Excel sheets: Variable Map – detailing survey question codes and content. Labels Map – providing categorical response scales for select questions.

    Forest_Restoration_Survey_Metadata_Sweden_Spain_2024.xlsx

  • Forest_Restoration_Survey_Data_Sweden_Spain_2024.xlsx

    This file contains anonymised survey responses from 241 individuals in Västerbotten County (Sweden) and Castilla y León (Spain), collected between March and September 2024. It includes variables on forest visitation, restoration awareness, perceptions of forest benefits and impacts, and socio-demographic characteristics. The responses are coded numerically and correspond to categories defined in the metadata file. The dataset supports analysis of public support for forest restoration as presented in the associated article.

    Forest_Restoration_Survey_Data_Sweden_Spain_2024.xlsx