Exploring management and environment effects on edge-of-field phosphorus losses with linear mixed models.

IF 2.2 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Kelsey M Kruger, Anita M Thompson, Qiang Li, Amber M Radatz, Eric T Cooley, Todd D Stuntebeck, Christopher J Winslow, Emily E Oldfield, Matthew D Ruark
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引用次数: 0

Abstract

Evaluating how weather, farm management, and soil conditions impact phosphorus (P) loss from agricultural sites is essential for improving our waterways in agricultural watersheds. In this study, rainfall characteristics, manure application timing, tillage, surface condition, and soil test phosphorus (STP) were analyzed to determine their effects on total phosphorus (TP) and dissolved phosphorus (DP) loss using 125 site-years of runoff data collected by the University of Wisconsin Discovery Farms and Discovery Farms Minnesota. Three linear mixed models (LMMs) were then used to evaluate the influence of those factors on TP and DP losses: (1) a model that included all runoff events, (2) manured sites only, and (3) precipitation events only. Results show that the timing of manure application relative to the timing of a runoff event only had a marginal association with P loads and concentrations, although the majority of the runoff events were collected after 10 days of manure application. Tillage was as influential factor, with greater DP loads and concentrations associated with no-till, especially during frozen conditions. Fields in this study had high STP values, but the model results only showed positive associations between DP load and DP flow-weighted mean concentration (FWMC) loss at the 0- to 15-cm depth. The precipitation event LMM (which included precipitation characteristics) was the model that resulted in the largest R2 value. While the predictive capacity of the LMMs was low, they did illuminate the relative importance of management and environmental variables on P loss, and can be used to guide future research on P loss in this region.

利用线性混合模型探讨管理和环境对农田边缘磷损失的影响。
评估天气、农场管理和土壤条件对农田磷流失的影响对于改善农业流域的水道至关重要。本研究利用威斯康星大学发现农场和明尼苏达州发现农场收集的125个站点年的径流数据,分析了降雨特征、施肥时间、耕作方式、地表条件和土壤测试磷(STP),以确定它们对总磷(TP)和溶解磷(DP)损失的影响。然后使用三种线性混合模型(lmm)来评估这些因素对TP和DP损失的影响:(1)包括所有径流事件的模型,(2)仅施肥场地的模型,(3)仅降水事件的模型。结果表明,尽管大部分径流事件是在施用有机肥10天后收集的,但相对于径流事件的时间,施用有机肥的时间与磷负荷和浓度只有边际关联。免耕是影响因素,其DP负荷和浓度与免耕有关,特别是在冰冻条件下。本研究的油田具有较高的STP值,但模型结果显示,在0 ~ 15 cm深度,DP负荷与DP流量加权平均浓度(FWMC)损失呈正相关。降水事件LMM(包含降水特征)是R2值最大的模型。虽然lmm的预测能力较低,但它们确实说明了管理和环境变量对磷损失的相对重要性,并可用于指导该地区未来的磷损失研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of environmental quality
Journal of environmental quality 环境科学-环境科学
CiteScore
4.90
自引率
8.30%
发文量
123
审稿时长
3 months
期刊介绍: Articles in JEQ cover various aspects of anthropogenic impacts on the environment, including agricultural, terrestrial, atmospheric, and aquatic systems, with emphasis on the understanding of underlying processes. To be acceptable for consideration in JEQ, a manuscript must make a significant contribution to the advancement of knowledge or toward a better understanding of existing concepts. The study should define principles of broad applicability, be related to problems over a sizable geographic area, or be of potential interest to a representative number of scientists. Emphasis is given to the understanding of underlying processes rather than to monitoring. Contributions are accepted from all disciplines for consideration by the editorial board. Manuscripts may be volunteered, invited, or coordinated as a special section or symposium.
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