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@book{ Mewes2013,
 title = {A systematic approach for assessing spatially and temporally differentiated opportunity costs of biodiversity conservation measures in grasslands},
 author = {Mewes, Melanie and Drechsler, Martin and Johst, Karin and Sturm, Astrid and Wätzold, Frank},
 year = {2013},
 series = {UFZ Discussion Papers},
 pages = {28},
 volume = {15/2013},
 address = {Leipzig},
 publisher = {Helmholtz-Zentrum für Umweltforschung - UFZ},
 issn = {1436-140X},
 urn = {https://nbn-resolving.org/urn:nbn:de:0168-ssoar-361677},
 abstract = {Biodiversity loss in Europe is caused to a large extent by agricultural intensification. To halt this loss and to support species and habitat types in agricultural areas, agri-environment schemes have been introduced in Europe to compensate farmers for (costly) conservation measures. Currently, agri-environment schemes for grassland in general consider only a few conservation measures with fixed dates and a payment for average opportunity costs, e.g. for later mowing. A systematic approach that calculates farmers` opportunity costs in relation to the timing of grassland use is still lacking. We fill this gap by developing a systematic agri-economic cost assessment approach. Our approach is general enough to be applicable on a large spatial scale but can still sensitively differentiate among different timings. Moreover it is straightforward and time-saving enough to be suitable for implementation in regional scale optimisation procedures. We demonstrate this by applying the systematic cost assessment in the decision support software DSS-Ecopay using the example of grassland species and habitats conservation in the German federal state of Saxony.},
 keywords = {Biodiversität; biodiversity; Naturschutz; conservation; Landwirtschaft; agriculture; Landnutzung; land utilization; Agrarpolitik; agricultural policy; Umweltpolitik; environmental policy; Maßnahme; measure; Kosten; costs; Erfolgskontrolle; results measurement; Sachsen; Saxony; Bundesrepublik Deutschland; Federal Republic of Germany}}