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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Water Management and Systems Research » Research » Collaborations

Collaborations

The Water Management and Systems Research has a long and productive history of collaborative research involving stakeholders.


Current collaborators and projects:

BOARD OF REGENTS OF THE UNIVERSITY OF NEBRASK, LINCOLN, NE
  • Developing Canopy Temperature Based Methodologies to Inform Irrigation Decisions
  • COLORADO STATE UNIVERSITY, FORT COLLINS, CO
  • Calibration and Evaluation of a Multi-Scale Spatially Distributed Evapotranspiration (ET) Algorithm
  • Integrating Field Measurements and Models to Evaluate Solar Induced Fluorescence as a Predictor of Dryland Crop Productivity
  • Improving Irrigated and Dryland Agriculture Via Xylem, Stomata, and Leaf Traits
  • Evaluating the Agricultural Ecosystems Services (AgES) Watershed Versus Other Models in Snow-dominated Systems
  • Understanding Soil and Environmental Effects on Crop Species and Rangeland Ecosystems Under Water Limitation
  • Process Modeling, Machine Learning, and Computational Tools for Watershed Modeling from Fire to Field
  • INNER MONGOLIA AGRICULTURAL UNIVERSITY, HOHHOT,INNER MONGOLIA
  • Remote Sensing and Spatial Simulation of Agricultural Watersheds
  • JARED JAMES STEWART, Fort Collins
  • The Genetic Architecture of Hydraulic and Whole-plant Performance under Cold Temperatures in Sunflower
  • NORTHWEST A&F UNIVERSITY, YANGLING, SHAANXI
  • Improve Irrigation Management with Remote Sensing Technology
  • U.S. DEPARTMENT OF ENERGY (DOE), LOS ALAMOS, NM
  • Directed Plant-Microbiome Evolution for Food and Biofuel Security
  • UNIVERSITY OF COLORADO BOULDER, City of Boulder
  • The Impact of Climate and Water Availability on Foliar Xylem Traits of Sunflower
  • Phytoelectronic Xylem Sensing
  • UNIVERSITY OF TEXAS AT ARLINGTON, ARLINGTON
  • Develop Software Module that Integrates a Canopy-Temperature-Based Stress Index into the WISE Tool
  • UNIVERSITY OF WASHINGTON, SEATTLE, WA
  • A Tool to Facilitate Model Calibration Using Cloud Enabled Multi-group Particle Swarm Optimization