Farm- and product-level biodiversity assessment of conventional and organic dairy production in Austria

• Published in: International journal of biodiversity science, ecosystems services & management Vol. 10; no. 1; pp. 20 - 39
• Main Authors: Schader, C, Drapela, T, Markut, T, Meier, M.S, Lindenthal, T, Hörtenhuber, S, Pfiffner, L
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 02-01-2014
• Subjects: agricultural land; agro-environmental measures; biodiversity; dairy farming; data collection; evaluation; experts; farm level; farmers; farms; impact assessment; indicator species; indicators; interviews; milk; Monte Carlo method; organic agriculture; organic production; product level; uncertainty analysis; Austria
• ISSN: 2151-3740; 2151-3732; 2151-3740
• DOI: 10.1080/21513732.2013.878752

The novel method developed for this study evaluates the impact of farming practices on farmland biodiversity, allowing for the assessment of the biodiversity potential of dairy farms at farm and product levels. We linked farming practices as pressure indicators to the species number and abundance of 11 indicator species groups (ISGs), evaluated semi-quantitatively by expert judgements. We calculated biodiversity potential based on food–web relationships between the ISGs, using Monte Carlo simulations for the analysis of uncertainty of expert assessments. We applied the assessment model to 8925 dairy farms from seven different Austrian regions, using official statistical data sets at farm level and interviews with farmers and experts. The results show that the approach can be used to identify differences in the biodiversity potential of farms and milk. Milk from organic farms received 4–79% higher biodiversity scores than milk from conventional farms in all regions. The application showed that in the case of Austrian dairy production, the approach can be used for assessments of both farms and products. However, the approach needs validation and, for product-level assessment, further development to cope with longer supply chains or compound products from different bio-geographic regions.