Data inaccessibility at sub‐county scale limits implementation of manuresheds
Data inaccessibility at sub‐county scale limits implementation of manuresheds
复制标题
县以下规模的数据无法获取限制了粪肥的实施
DOI：
10.1002/jeq2.20271
复制
发表时间：
2021
影响因子：
2.4
通讯作者：
Kucharik, Christopher J.
中科院分区：
文献类型：
--
作者：
Booth, Eric G.;Kucharik, Christopher J.
粪肥化的概念旨在重新平衡动物饲养作业（来源）产生的多余粪肥养分和养分缺乏的农田（汇）的需求，以减少对环境的负面影响，并更有效地利用养分。由于对水质的影响，关注这种再平衡的研究通常会创建与特定流域相匹配的域边界。然而，用于这些分析的大多数农业数据集（特别是牲畜种群）只能在县范围内获得，而县范围通常与流域边界不匹配。解决这种不匹配的常用方法是根据县内流域面积的比例对县统计数据进行加权。然而，这些简单的假设意味着一个县的动物密度是均匀的，这可能是非常有问题的，特别是在一个牲畜生产日益集中在较小土地面积上的时代。我们对威斯康星州中南部的门多塔湖流域进行了一个案例研究，使用了一个典型的基于县的缩小数据集，以及一个来自农业普查的更具空间明确的牲畜数量数据集，该数据集汇总了一组最符合流域边界的邮政编码。这一比较表明，与该县其他地区相比，由于该流域集中了乳制品业务，估计牲畜数量及其相关粪便产量存在巨大差异。我们认为，亚县尺度的数据需要变得更容易获得，并整合到营养和水质管理工作中，以便更有效地描述和实施肥料。
The manureshed concept aims to rebalance surplus manure nutrients produced at animal feeding operations (sources) and the demands from nutrient‐deficient croplands (sinks) to reduce negative environmental impacts and utilize nutrients more efficiently. Due to water quality implications, studies focused on this rebalancing have typically created domain boundaries that match a particular watershed. However, a majority of agricultural datasets that are used to inform these analyses—specifically, livestock populations—are only available at the county scale, which generally does not match watershed boundaries. The common method used to address this mismatch is to weight the county statistics based on the proportion of watershed area within the county. However, these straightforward assumptions imply that animal density is uniform across a county, which can be highly problematic, especially in an era of increasing concentration of livestock production on a smaller land area. We present a case study of the Lake Mendota watershed in south‐central Wisconsin using both a typical county‐based downscaled dataset as well as a more spatially explicit dataset of livestock counts from the Census of Agriculture that aggregates a set of zip codes that best matches the watershed boundary. This comparison reveals a substantial difference in estimated livestock numbers and their associated manure production that is due to a concentration of dairy operations within the watershed compared with the rest of the county. We argue that sub‐county scale data need to become more available and integrated into nutrient and water quality management efforts so that manuresheds can be more effectively delineated and implemented.