Goals and Objectives

The overall goal of the Platte River – High Plains Aquifer (PR-HPA) LTAR is to make available historical long-term data, cross-site research data, and common geographically-scalable databases necessary to deliver knowledge and develop applications to address increasingly critical agricultural challenges associated with producing the food, feed, fiber, and feed stocks needed by society. These data will play a critical role in developing production systems that are economically profitable while securing a high quality of life among populations living in rural communities and maintaining or improving air, water, and soil quality.

To accomplish this goal, the proposed LTAR will pursue four primary objectives:

  • Provide scientific and programmatic leadership and infrastructure to ensure the Platte River – High Plains Aquifer LTAR functions efficiently and effectively in accomplishing its mission and is responsive to emerging data needs and challenges.
  • Collect and make available a core set of common measurements that will be compatible across LTAR sites, meet established quality standards, and be maintained in a Network agreed-upon, publicly-accessible format.
  • Develop research partnerships with a wide variety of stakeholders, including other local, state, and federal governmental agencies, universities, and the private sector, to develop the depth and breadth of expertise necessary to compete for and secure funds to support collaborative long-term research.
  • Participate in LTAR Network meetings and workshops to share research progress, discuss methodological and operational issues, and plan future Network activities and initiatives.
Experienced personnel affiliated with multiple core geographical sites located across Nebraska will collaborate to accomplish these objectives. Data sets and research experience provided through this LTAR fall within four primary research clusters, all of which are of significance to the LTAR Network: cropping systems, beef cattle and grassland systems, water resources, and regional modeling and integration.