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Subnational nutrient budgets to monitor environmental risks in EU agriculture: calculating phosphorus budgets for 243 EU28 regions using public data

机译:区域营养预算监测欧盟农业环境风险:使用公共数据计算243 EU28地区的磷预算

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This paper presents a method to estimate soil surface phosphorus (P) budgets for 243 subnational regions in EU28. This is about the maximum spatial resolution that can be achieved mainly using international datasets that are regularly updated. Similar subnational budgets could be established for nitrogen (N) with some additions to this method. Increasing the spatial resolution from national to subnational is one way to address the well-known issue that national nutrient budgets sometimes mask considerable heterogeneity, i.e., regional surpluses and deficits that are not seen in national averages. Our results indeed show how a rich structure of different P budgets emerges when moving from national to subnational level. Another approach is to exclude the most extensively managed areas from the budgets, to better represent the surplus in intensive agriculture areas. Here, we show that both approaches are useful and sometimes important as they can affect P surplus estimates by about 10 kg P ha(- 1) y(- 1) or more. The choice of spatial resolution is a trade-off between accuracy and precision. National budgets are the most accurate thanks to good data coverage, but they sometimes fail to identify considerable P surpluses and deficits at subnational level. Increasing the precision (spatial resolution) gradually reveals this heterogeneity but comes at the cost of growing data gaps, which we discuss in detail. These subnational P surpluses represent a middle ground which may prove useful as one indicator among others to monitor the development of environmental risks and resource problems over time.
机译:本文介绍了估算EU28中的243个结构磷(P)预算的方法。这是关于可以主要使用经常更新的国际数据集实现的最大空间分辨率。可以为氮气(n)建立类似的亚洲预算,并将其添加到这种方法。从国内纳入国家的空间决议是解决国家营养预算有时掩盖了相当多的异质性,即在国家平均值中没有看到的区域盈余和赤字的一种方式。我们的结果确实表明,在从国内转移到北方水平时,如何出现丰富的不同P预算的结构。另一种方法是排除预算中最广泛的管理区域,更好地代表密集农业领域的盈余。在这里,我们表明,两种方法都是有用的,有时重要的是,它们可以影响P剩余估计约10千克( - 1)Y( - 1)或更多。空间分辨率的选择是准确性和精度之间的权衡。由于良好的数据覆盖范围,国家预算是最准确的,但它们有时无法识别结构的相当大的P盈余和赤字。提高精度(空间分辨率)逐渐揭示这种异质性,但我们详细讨论的数据差距增长的成本。这些地区的盈余代表一个中间地面,可能被证明是一个指标,以监测环境风险的发展随着时间的推移。

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