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Survey data on European organic multi-species livestock farms

Authors: Ulukan, Defne; Steinmetz, Lucille; Moerman, Marie; Bernes, Gun; Blanc, Mathilde; Brock, Christopher; Destruel, Marie; +14 Authors

Survey data on European organic multi-species livestock farms

Abstract

AbstractWhile 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 understand levers or barriers to their development.

Countries
Italy, Sweden, France, France
Keywords

[SDV]Life Sciences [q-bio], Animal husbandry, survey data, Food processing and manufacture, organic farming, TX341-641, Agricultural Science, LS9_3, AGR/18, AGR/19, Nutrition. Foods and food supply, TP368-456, sustainability, Farming Systems, [SDV] Life Sciences [q-bio], livestock, Production systems, Sustainability, mixed livestock farming system

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    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
gold