Finn A. Bondeson, Joshua W. Faulkner, Tiffany L. Chin, Andrew W. Schroth, Michael Winchell, Aubert Michaud, Mohamed Niang, Eric D. Roy
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引用次数: 0
摘要
流域尺度的养分平衡分析,包括磷(P)的养分平衡分析,通常是通过综合输入数据集完成的,因此无法捕捉整个研究区域的磷状况变化。本研究提出了一套方法,利用颗粒化的田间级数据,预测和直观显示尚普兰湖流域(美国佛蒙特州)农业地块的部分磷质量平衡、土壤磷饱和度比(PSR)和土壤测试磷。通过 K-means 聚类分析,按照土壤质地、平均坡度和作物类型对农业地块进行了分组。利用一组占流域农田面积 21% 以上、已知土壤测试和养分管理参数的地块,按群集预测了整个流域农田的部分 P 质量平衡、PSR 和土壤测试 P,并考虑了不确定性。其结果是,平均部分 P 平衡为 5.5 ± 0.2 kg P ha-1 year-1,平均 PSR 为 0.0399 ± 0.0002。此外,约 30% 的农业用地的土壤测试 P 值高于最佳水平。研究结果可用于直观显示潜在的高磷流失区域。这些数据和可视化可为流域钾模型提供信息,并帮助从业人员做出养分管理决策。这些技术还可作为其他地区自下而上的养分质量平衡和土壤指标建模的框架。
Watershed-scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom-up approach
Analysis of nutrient balance at the watershed scale, including for phosphorus (P), is typically accomplished using aggregate input datasets, resulting in an inability to capture the variability of P status across the study region. This study presents a set of methods to predict and visualize partial P mass balance, soil P saturation ratio (PSR), and soil test P for agricultural parcels across a watershed in the Lake Champlain Basin (Vermont, USA) using granular, field-level data. K-means cluster analyses were used to group agricultural parcels by soil texture, average slope, and crop type. Using a set of parcels accounting for ∼21% of the watershed's agricultural land and having known soil test and nutrient management parameters, predictions of partial P mass balance, PSR, and soil test P for agricultural land across the watershed were made by cluster, incorporating uncertainty. This resulted in an average partial P balance of 5.5 ± 0.2 kg P ha−1 year−1 and an average PSR of 0.0399 ± 0.0002. Furthermore, approximately 30% of agricultural land had predicted soil test P values above optimum levels. Results were used to visualize areas with high P loss potential. Such data and visualizations can inform watershed P modeling and assist practitioners in nutrient management decision making. These techniques can also serve as a framework for bottom-up modeling of nutrient mass balance and soil metrics in other regions.
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.