• Nature Conservation
  • Rural Development
  • Communication

EVALM – Evaluation of the Rural Development of Alpine Pastures

What is at issue?

The multifunctionality of alpine pastures in Austria is based on a close link between ecological, economic and sociocultural factors. Within the scope of the project EVALM, we evaluated the impact of the programme LE 07-13 on Austrian alpine pastures and conducted an analysis of its overall effect.

What is the benefit?

The evaluation allowed a demonstration of the concrete contribution of rural development measures individually as well as collectively with regard to ecological, economic and sociocultural aspects of the alpine farming system in Austria, including interactions between the individual measures.

Pictures from the project

EVALM_1Schoberalm
 

What do we do?

By means of consultations, interviews and vegetation-ecological mapping, we conducted detailed research on individual farms as well as model farms. We analysed the collected data in combination with national IACS data, allowing for conclusions regarding the sociocultural and economic significance of alpine farming for the pertinent farm businesses as well as regarding the ecological preservation status of the alpine pastures. We discussed and extended the evaluation results in three workshops with stakeholders as well as national and international experts.
For this project, suske consulting led an interdisciplinary team including the Austrian Council for Agricultural Engineering and Rural Development (ÖKL), the International Commission for the Protection of the Alps (CIPRA), Birdlife Austria and NatureConsult.
The three-year project was completed successfully in 2012.

What else?

Article from „Der Alm und Bergbauer“ (in German)

«If the current system of subsidies is sustained and personnel costs don’t rise, then I look confidently to the future.»

An alpine farmer

What could interest you

Evaluation of rural development subsidy measures for alpine pastures

Leading an interdisciplinary team

Conducting and evaluating quantitative surveys

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