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Showing 1 - 5 of 5 | Export projects
Recipient
Minnesota Department of Agriclture and MN.IT Services
2015 Fiscal Year Funding Amount
$82,400
Fund Source

The Application Risk Advisory System is web‑based and provides alerts when conditions are favorable for nutrient loss to water, based on soil conditions and National Weather Service forecast models. This system enables farmers and commercial applicators to avoid applications of fertilizer and manure during conditions when the potential for loss to surface water is high.

Recipient
University of Minnesota
2012 Fiscal Year Funding Amount
$75,000
2013 Fiscal Year Funding Amount
$75,000

PROJECT OVERVIEW

Recipient
Itasca County Soil and Water Conservation District
2012 Fiscal Year Funding Amount
$80,000
2013 Fiscal Year Funding Amount
$80,000


OVERALL PROJECT OUTCOME AND RESULTS
The impetus for this project was the need to better protect and manage functional lake ecosystems in Minnesota. There is widespread concern about the consequences of poorly planned development on water quality and fish and wildlife habitat. Given the increased demands for water and shoreland, continued habitat fragmentation and loss of species diversity, protection of sensitive lakeshores is critical.

Recipient
Dr. David Mulla, University of Minnesota, Dept. of Soil, Water and Climate
2015 Fiscal Year Funding Amount
$300,000
Fund Source

The Nitrogen Fertilizer Management Plan (NFMP) recognizes that existing best management practices (BMPs) may not adequately protect the groundwater from nitrate contamination in some geologic sensitive areas. The NFMP introduces the concept of alternative management tools (AMTs), which are advanced practices that may be required to protect groundwater or mitigate groundwater contamination.

Recipient
BWSR
2010 Fiscal Year Funding Amount
$107,000

An emerging practice called "precision conservation" aims to maximize conservation benefits by considering the value of lands in terms of the interconnected systems of which they are a part. By compiling and integrating multiple types of data layers and analysis that are available today, conservation professionals can use the best and most precise information available to identify, prioritize, and guide conservation efforts.