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Increasing the cost-effectiveness of nutrient reduction targets using different spatial scales

机译:增加使用不同空间尺度的营养减少目标的成本效益

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In this paper, we investigate the potential gains in cost-effectiveness from changing the spatial scale at which nutrient reduction targets are set for the Baltic Sea, with particular focus on nutrient loadings from agriculture. The costs of achieving loading reductions are compared across five levels of spatial scale, namely the entire Baltic Sea; the marine basin level; the country level; the watershed level; and the grid square level. A novel highly-disaggregated model, which represents decreases in agricultural profits, changes in root zone N concentrations and transport to the Baltic Sea is used. The model includes 14 Baltic Sea marine basins, 14 countries, 117 watersheds and 19,023 10-by-10 km grid squares. The main result which emerges is that there is a large variation in the total cost of the program depending on the spatial scale of targeting: for example, for a 40% reduction in loads, the costs of a Baltic Sea-wide target is nearly three times lower than targets set at the smallest level of spatial scale (grid square). These results have important implications for both domestic and international policy design for achieving water quality improvements where non-point pollution is a key stressor of water quality.
机译:在本文中,我们研究了成本效益的潜在增益,从改变波罗的海为波罗的海设定营养减少目标的空间尺度,特别关注农业的营养载荷。在五个级别的空间量表中比较了实现加载减少的成本,即整个波罗的海;海洋盆地水平;国家一级;分水岭水平;和网格方形水平。使用新的高度分组模型,该模型代表农业利润下降,根区N浓度的变化和转运到波罗的海。该型号包括14个波罗的海海洋盆地,14个国家,117个流域和19,023个10×10公里网格方块。结果的主要结果是,根据靶向的空间尺度,程序的总成本存在大的变化:例如,负载减少40%,波罗的海宽目标的成本几乎是三个比在空间尺度的最小级别(网格正方形)的目标低倍。这些结果对国内和国际政策设计具有重要意义,以实现无点污染是水质的关键压力源。

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