By Floor Brouwer, Bob Crabtree
The publication includes edited and revised types of sixteen chosen papers awarded on the workshop 'Towards operationalization of the consequences of CAP on atmosphere, panorama and nature: exploration of indicator wishes' held in Wageningen in April 1997. It experiences, from a eu viewpoint, the theoretical improvement and use of symptoms within the evaluation of the environmental impression of agricultural coverage at the actual atmosphere, panorama and biodiversity; and using environmental symptoms for toxins and coverage research. to be had In Print
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Additional resources for Environmental indicators and agricultural policy
It is more difficult to assess the ‘quality’ of an indicator relative to its operating costs as depicted by the ellipses in Fig. 2. With indicator (d) having the least uncertainty (smallest ellipse area), relative large weight on ‘quality’ would increase the likelihood of (d) being the preferred indicator. Cost- or Quality-weighted Preferences The applicability of an indicator depends on the site-specific environmental state. The capacity of an ecosystem to sustain emissions is likely to vary depending on its self-cleaning capacity.
1995). Eventually the Canadian analysis will also be extended to examine longer-term sustainability questions by relating anticipated changes in resource quality back to production and agricultural income projections. A considerable number of NGOs are also engaged in agri-environmental work, both at the national and international level. At the national level, the UK NGO, Environmental Challenge Group, for example, has recently published a set of indicators to monitor the UK environment (Environmental Challenge Group, 1995), while international NGOs, such as the World Resources Institute (World Resources Institute, 1995) and the Worldwide Fund for Nature (1995) are also active in contributing to the development of environmental indicators, including indicators covering agricultural activities.
This discreteness would imply that the marginal benefit and cost curves depicted in the figure could become stepped. Even so, the optimality principle of equating marginal benefits and costs, holds. Secondly, using several indicators together could result in negative covariances between indicators, reducing the uncertainty of certain indicator combinations. When choosing a set of indicators, this possibility should be considered as it reduces the uncertainty in the optimal amount of information to collect.