/EFO-LCI

All the data regarding the EFO-LCI database

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EFO-LCI: European Forestry Operations Life Cycle Inventory

About

The European Forestry Operations Life Cycle Inventory (EFO-LCI) contains life cycle inventory (LCI) data on the forest management practices of 29 countries within the European subcontinent based on a questionnaire filled by silvicultural experts. We first classified European forest on the basis of what we called "forest unit" (the combination of silvicultural practices and tree species) and, for each Forest Unit (FU) we constructed a LCI.

Methodology

These data were gathered from national forestry expertise based on published and unpublished scientific studies, national reports, national laws, personal knowledges etc. The dataset, questionnaire, methodology and mein results of this work are described in the pubblication ..................

Scope

While the work was done mainly for life cycle analysis purposes, its scope it is not limited to this and can be used also for other purposes and from people from other sectors. It is our hope that making these data available will improve the study on life cycle impact of forest management and forest management in general.

Geographical coverage of the data

At time of publication, the EFO-LCI contained 235 FUs described in 29 different European countries. The work for now cover only the European continents, being this the scope of the project, but could be further extended to other geographical areas.

HOW TO CITE

Cardellini, G., Valada, T., Cornillier, C., Vial, E., Dragoi, M., Goudiaby, V., Mues, V., Lasserre, B., Gruchala, A., Rørstad, P.K. and Neumann, M., 2018. EFO-LCI: A New Life Cycle Inventory Database of Forestry Operations in Europe. Environmental management, 61(6), pp.1031-1047.

Using EFO-LCI

Both the data in EFO-LCI and the underling MS access questionnaire used to build it are released under the Attribution-NonCommercial-ShareAlike 4.0 International license, and can therefore be shared, reused and modified for non commercial use simply giving credits to the authors. To recognise and give credits for this work , we thus simply kindly ask you cite the above article.

Database organization

The database simply consists of two excel files, one named general_information and containg the info about the single forest unit in the country, and one named interventions with the detailed description of the interventions.

Download questionnaire and database

The database has been contructed as a simple excel file containing as UUID the combination of Country name, silvicultural system and species group (see article about this classification), while the questionnaire is an excel file with 5 front-end forms linked to as many relational databases.

The database can be downloaded from here while the questionnaire can be downloaded from here

Contributing data to the EFO-LCI

We welcome further contributions to the EFO-LCI, both from EU and outisde.

The prerequisite is that you are willing to release the data under the Attribution-NonCommercial-ShareAlike 4.0 International license.

If you would like to contribute to this dataset, simply:

  1. Download the raw data from here
  2. Indicate Country and Foresty Unit you want to describe (or just update the existing ones) in the files....
  3. Include all the information at your disposal for that forest unit in the files...
  4. Please always indicate the source of information you used
  5. (preferably) submit a pull request to this github page or send an email to the author (giuseppe.cardellini@kuleuven.be) that will take care of it

Acknowledgements

This work was conducted as part of the collaborative project “FORest management strategies to enhance the MITigation potential of European forests” (FORMIT). The research leading to these results has received funding from the European Union Seventh Framework Programme under grant agreement n° 311970. We are extremely grateful to everyone who has contributed data within and ouside the project consoritum (see paper authors and raw dataset with respondents names). We thanks also all the responent to the questionnaire for their unestimable contribution.