About MoRAP

Historical Sketch

MoRAP was established because of the need for digital data development, analysis, and delivery, and the recognition that a coordinated approach in which funds are pooled saves money. Partners include state and federal agencies and non-government conservation organizations. Improvements in computer hardware and software make digital data easier to develop, analyze, and use; the need to save money, while always a concern, has become an imperative as budgets for many partners shrink. Sharing equipment and staff expertise can reduce the cost of software, hardware, and trained personnel required to take advantage of new technologies.

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