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The approach used in this work is to use computer models of pollutant emissions from agricultural land and the effect of changes in land management to provide a complementary intermediate between result and impact indicators by forecasting the potential long-term impact of GLAS management interventions in advance of long-term environmental monitoring for impact detection. Computer models are used to quantify the proportion of the baseline total pollutant load that is managed by farms in scheme, that part which is potentially controllable by the selected management interventions, and the likely reduction in load on the assumption of best practice.