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纽约州流域农业最佳管理措施的空间变化及其与养分产量的关系。

Spatial Variation in Agricultural BMPs and Relationships with Nutrient Yields Across New York State Watersheds.

机构信息

Syracuse University, Syracuse, NY, USA.

Pennsylvania State University, University Park, TX, USA.

出版信息

Environ Manage. 2024 Oct;74(4):729-741. doi: 10.1007/s00267-024-02008-x. Epub 2024 Jul 2.

Abstract

Agricultural nutrients nitrogen and phosphorus can subsequently be transported to waterways and are often managed through the adoption of best management practices (BMPs). However, we have a poor understanding of how the use of BMPs varies spatially and how BMP adoption might be related to nutrient yields in surface waters. To address this, we performed a survey of agricultural landowners across New York State and compared this with estimates of annual incremental nitrogen and phosphorus yields of agricultural origin from the Spatially Referenced Regressions On Watershed attributes (SPARROW) model. Using these socio-behavioral data and SPARROW predictions, we perform colocation analysis to identify areas where watersheds with high nutrient yield from agriculture are collocated with non-use of agricultural BMPs. This colocation analysis offers a novel methodology for identifying areas where monitoring of waterways and promotion of best management practices could be targeted to achieve the greatest benefits.

摘要

农业养分氮和磷随后可以被输送到水道,并通过采用最佳管理实践(BMP)来进行管理。然而,我们对 BMP 的使用如何在空间上变化以及 BMP 的采用如何与地表水中的养分产量相关知之甚少。为了解决这个问题,我们对纽约州的农业土地所有者进行了调查,并将其与来自流域属性空间参考回归(SPARROW)模型的农业源年度增量氮和磷产量的估计值进行了比较。利用这些社会行为数据和 SPARROW 预测,我们进行了共定位分析,以确定农业高养分产量的流域与农业 BMP 未使用共定位的区域。这种共定位分析为确定需要监测水道和推广最佳管理实践以实现最大效益的区域提供了一种新的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5538/11392999/b864d3a75197/267_2024_2008_Fig1_HTML.jpg

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