About the Missouri Resource Assessment Partnership (MoRAP)

MoRAP was established in 199X to address the need for the development, analysis, and delivery, of geospatial data. (Include historical information)

(MoRAP), which is a partnership of seventeen state and federal natural resource management agencies seated within the School of Natural Resources at the University of Missouri. While at — landscape-scale assessment and planning projects to guide the management of and collaboration among the partner agencies.

Our group regularly partners with state and federal agencies, as well as non-profit conservation organizations, to develop and deliver high quality data based on the latest data from a variety of sources.

A hierarchical array of interagency committees and working groups together form the structure, and oversee the function, of MoRAP. Project proposals spring from fluid, project-oriented working groups. These are reviewed by a standing Technical Committee to ensure that they conform to sound data standards, and then presented before the Steering Committee for possible funding. Partners are under no obligation to provide funding for any given proposal. The independence of all partners is affirmed, and the advantages of pooling funds for any given project are openly and carefully considered.

MoRAP staff are all University of Missouri employees. Projects include digital data development such as the National Hydrology Dataset (NHD) and inventories or assessments such as the Aquatic Gap Project and the Opportunity Area Project.

Following is a list of active and recently completed MoRAP projects and the primary areas of activity for each project. Please see details for each project by clicking on its name.

Activities
Coordination among partners to identify needed projects and opportunities for cooperation
River segment and catchment characterization and classification using both abiotic and biotic variables
River segment and catchment threats, ecological significance, condition, and risk assessments
Riverine species predicted distribution modeling
Terrestrial evaluation of ecological significance, threat, and conservation opportunity areas
Terrestrial evaluation of historic or potential vegetation via mapping of ecological site types
Terrestrial vegetation characterization from satellite, air photos, and environmental (digital soils, DEM-derived terrain, geologic, etc.) data
Training of partners in use of products produced
Expertise
Conservation planning
Database management
Ecological classification and mapping of communities using quantitative data analysis and remote sensing techniques
GIS: creation, manipulation, display, and analysis of spatial data
Manipulation and understanding of digital soils data files
Natural history: field identification of plants and animals; knowledge of vegetation/environment relationships
Oral and written presentation of information, including facilitation of meetings
Remote Sensing: image processing and classification using multiple data sources and techniques
Terrain modeling from multiple DEM-derived variables