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Data inaccessibility at sub-county scale limits implementation of manuresheds.

Eric G Booth¹, Christopher J Kucharik¹

¹Dep. of Agronomy, Univ. of Wisconsin-Madison, 1575 Linden Dr., Madison, WI, 53705, USA.

Journal of Environmental Quality

|July 22, 2021

Summary

Accurate manure management requires precise livestock data. Using sub-county data improves manure-shed delineation, leading to better nutrient rebalancing and reduced environmental impact.

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Area of Science:

Environmental Science
Agricultural Science
Water Resource Management

Background:

The manureshed concept seeks to balance manure nutrients from livestock operations with crop nutrient needs.
Current methods often use county-level data, which may not align with watershed boundaries, impacting accuracy.
Water quality concerns necessitate efficient nutrient management and reduced environmental impacts.

Purpose of the Study:

To evaluate the impact of data scale on manureshed delineation and nutrient management.
To compare traditional county-based downscaling with spatially explicit sub-county data for livestock populations.
To highlight the importance of sub-county data for effective manureshed implementation.

Main Methods:

A case study was conducted in the Lake Mendota watershed, Wisconsin.
Livestock data from the Census of Agriculture was aggregated by zip codes to match watershed boundaries.
County-level data was downscaled using area-weighting for comparison.

Main Results:

Significant differences were observed in estimated livestock numbers and manure production between the two datasets.
The spatially explicit dataset revealed a concentration of dairy operations within the watershed.
County-scale downscaling masked the localized intensity of livestock production.

Conclusions:

Sub-county scale data is crucial for accurate manureshed delineation.
Integrating finer-scale agricultural data is essential for effective nutrient and water quality management.
Improved data resolution can lead to more precise environmental impact assessments and mitigation strategies.