Precision Agriculture and Pedometrics, Department of Soil and Environment, Swedish University of Agricultural Sciences, PO Box 234, 523 23, Skara, Sweden.
The Rural Economy and Agricultural Society, Järnvägsgatan 18, 532 30, Skara, Sweden.
Environ Geochem Health. 2018 Dec;40(6):2685-2694. doi: 10.1007/s10653-018-0132-x. Epub 2018 Jun 19.
Molybdenum is toxic to ruminants when present in high levels in forage, causing physiological copper deficiency. A critical level for ruminants is 3-10 mg Mo kg dry matter. The average Mo level varies considerably between different arable soils, depending mainly on soil parent material. This study investigated the possibility of using various existing sources of geospatial information (geophysical, biogeochemical and soil chemical) to develop a geography-based risk assessment system. Forage samples (n = 173) were collected in 2006-2007. Three types of national geoscientific datasets were tested: (1) SEPA topsoil, comprising data from arable land within the Swedish environmental monitoring programme; (2) SGU biogeochemical, containing data from aquatic plant root material collected in small streams; and (3) SGU geophysical, consisting of data from airborne gamma-ray scanning. The digital postcode area map was used for geocoding, with Mo concentrations in forage assigned to arable parts of the corresponding postcode area. By combining this with the three national geoscientific databases, it was possible to construct a risk map using fuzzy classification depicting High-risk, Intermediate-risk, Low-risk and Very-low-risk areas. The map was validated using 42 randomly selected samples. All samples but one with Mo > 3 mg kg were found in postcode areas designated High risk. Thus, the risk map developed seems to be useful as a decision support system on where standard forage analyses need to be supplemented with Mo analyses.
钼在饲料中含量过高时对反刍动物有毒,导致生理铜缺乏。反刍动物的临界水平为 3-10mg Mo kg 干物质。不同耕地土壤中钼的平均水平差异很大,主要取决于土壤母质。本研究探讨了利用各种现有地理空间信息(地球物理、生物地球化学和土壤化学)来源开发基于地理的风险评估系统的可能性。2006-2007 年采集了 173 份饲料样本。测试了三种类型的国家地球科学数据集:(1) SEPA 表土,包括瑞典环境监测计划中耕地的数据;(2) SGU 生物地球化学,包含从小溪中采集的水生植物根材料的数据;(3) SGU 地球物理,由航空伽马射线扫描数据组成。数字邮政编码区域图用于地理编码,将饲料中的钼浓度分配给相应邮政编码区域的耕地部分。通过将这与三个国家地球科学数据库相结合,就可以使用模糊分类构建风险图,描绘高风险、中风险、低风险和极低风险区域。使用 42 个随机选择的样本对该地图进行了验证。所有 Mo 含量大于 3mg kg 的样本都在被指定为高风险的邮政编码区域中。因此,开发的风险图似乎可用作决策支持系统,用于确定需要补充 Mo 分析的标准饲料分析的地点。