Survey data on European organic multi-species livestock farms

DOI

While there is increasing evidence of the sustainability benefits of diversified systems in the organic cropping sector, this has been much less investigated with organic livestock farming. To fill this knowledge gap, we surveyed a sample of 128 European organic multi-species livestock farms located across seven countries – Austria, Belgium, France, Germany, Italy, Sweden and Switzerland – and covering a large range of livestock species combinations. We recorded 1574 variables as raw data out of which we calculated 107 indicators describing farm structure, management and several sustainability dimensions: resource use efficiency and conservation, animal, land and work productivities, animal and human welfare. After technical validation of the data, we withdrew 26 farms and the database covers 102 farms. This database is well suited to unveil relationships between various dimensions of organic multi-species livestock farm sustainability and their structure and management. It can help reveal sustainable strategies for organic multi-species livestock farming systems, and levers or barriers to their development. Scripts: https://forgemia.inra.fr/mix-enable/mix-enable_indicators/

Identifier
DOI https://doi.org/10.15454/AKEO5G
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/AKEO5G
Provenance
Creator Ulukan, Defne; Steinmetz, Lucille; Moerman, Marie; Bernes, Gun; Blanc, Mathilde; Brock, Christopher; Destruel, Marie; Dumont, Bertrand; Lang, Elise; Meischner, Tabea; Moraine, Marc; Oehen, Bernadette; Parsons, David; Primi, Riccardo; Ronchi, Bruno; Schanz, Lisa; Vanwindekens, Frédéric; Veysset, Patrick; Winkler, Christoph; Martin, Guillaume; Benoit, Marc
Publisher Recherche Data Gouv
Contributor Myriam Grillot
Publication Year 2021
Rights etalab 2.0; info:eu-repo/semantics/restrictedAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess false
Contact Myriam Grillot (INRA - Institut National de la Recherche Agronomique)
Representation
Resource Type Dataset
Format application/pdf; text/tab-separated-values
Size 143593; 909496; 9129; 82992; 528116; 1735; 17899; 34202; 55; 157523; 13036; 2045; 44926; 255977; 483; 121136
Version 4.0
Discipline Agriculture, Forestry, Horticulture; Agricultural Sciences; Farming Systems