This project will create and optimize eDNA assays to detect the presence of 8 endangered or threatened mussel species around Buffalo Slough near Prairie Island Indian Community.
This project will study the geologic controls on nitrate transport in southeast Minnesota's karst landscape and will also provide datasets for other projects over time.
Geologic atlases provide maps/databases essential for improved management of ground and surface water. This proposal will complete current projects and start new projects to equal about 4 complete atlases.
Get the Lead Out is focused on protecting common loons and wildlife through education and outreach about the danger of lead fishing tackle and promoting lead-free tackle alternatives.
Per Minnesota Laws, 2011, 1st Special Session, Chapter 6, Article 4, Section 2, Subd. 6, "These amounts are appropriated to the commissioner of administration for grants to the named organizations for the purposes specified in this subdivision.
Per Minnesota Laws, 2009, Chapter 172, Article 4, Section 2, Subd. 5, "Funds in this subdivision are appropriated to the commissioner of the Department of Administration for grants to the named organizations for the purposes specified in this subdivision. Up to one percent of funds may be used by the Department of Administration for grants administration. Grants made to public television or radio organizations are subject to Minnesota Statutes, sections 129D.18 and 129D.19."
The Conservation Fund and Minnesota Land Trust will protect 380 acres of high-priority grassland, prairie, and wetland wildlife habitat with working lands conservation easements in western, central, and southeastern Minnesota. Grasslands represent one of Minnesota’s most threatened habitat types. Privately-held and well-managed grasslands in strategic habitat complexes have provided lasting benefits for Minnesota’s wildlife. This project will permanently prevent the conversion of grasslands to row crops.
Construct new 4.5 kilowatt solar electric system which will provide about one third of the park office's electrical energy requirements. Excess electrical energy production is put into the local power grid.
The goal of this project is to extend the input timeseries for the existing Crow Wing, Redeye, and Long Prairie, watershed Hydrologic Simulation Program FORTRAN (HSPF) models and refine the calibration.
This project proposes to increase the adoption of cover cropping in southwest Minnesota to address issues of loss of diversity and environmental degradation. By generating important information on cover crops,
Evaluation of Minnesota raptors, in rehabilitation and free ranging settings, for current or previous exposure to highly pathogenic avian influenza virus to better understand outbreak impacts to raptor populations.
Our new project, Honor the Past, Preserve the Future: Hmong 18 Clans Custom and Cultural Preservation Project, is to preserve the history, traditional, and changing lives of the Hmong Minnesotans.
Red Wing Arts will facilitate a collaboration beginning the process of healing the historical trauma that
divides the Dakota and Red Wing residents. Leaders of the Prairie Island Indian Community, Goodhue County
and Red Wing Arts will use the power of the arts to host engagement and cultural education arts experiences
that provide space for healing, improved mental health and connection. A mural designed by tribal members
will be installed in downtown Red Wing will symbolize this initiative.
This project will support construction of three watershed framework models built using the Hydrologic Simulation Program FORTRAN (HSPF). These executable models will simulate hydrology at the subbasin scale. An HSPF model will be built for each of these major watersheds: Crow Wing River, Redeye River, and Long Prairie River.
This project will construct, calibrate, and validate three HSPF watershed models. The consultant will produce HSPF models that can readily be used to provide information to support conventional parameter TMDLs. The consultant will clearly demonstrate that these models generate predicted output time series for hydrology, sediment, nutrients, and dissolved oxygen which are consistent with available sets of observed data.
