By Floor Brouwer, Bob Crabtree
The ebook includes edited and revised types of sixteen chosen papers awarded on the workshop 'Towards operationalization of the consequences of CAP on setting, panorama and nature: exploration of indicator wishes' held in Wageningen in April 1997. It stories, from a eu standpoint, the theoretical improvement and use of signs within the evaluation of the environmental influence of agricultural coverage at the actual surroundings, panorama and biodiversity; and using environmental signs for toxins and coverage research. on hand In Print
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Extra info for Environmental indicators and agricultural policy
2. Reliability: many environmental problems evolve over time. Hence, longterm quality time-series data with well-suited resolution level(s) are prime candidates on which to base a reliable indicator, from which reliable inferences can be drawn. 3. Predictive capacity: variables that display certain characteristics before the environmental problem in question becomes large (leading indicators) are preferable as indicators. The ability of the indicator(s) to identify risk and capture changes over time are of particular importance in this connection.
Other countries have also begun to establish an analytical basis for national agrienvironmental indicators (AEIs), for example France (IFEN, 1997), New Zealand (New Zealand Ministry of Agriculture and Fisheries, 1995), Switzerland (Office Fédéral de la Statistique, 1995) and the United States (US Department of Agriculture, 1994). However, for most OECD countries the systematic collection of basic agrienvironmental data and measurement of AEIs is only beginning. Moreover, where data and indicators exist, the coverage and quality vary across countries, as revealed by an unpublished OECD pilot survey of agri-environmental indicators conducted in 1995.
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