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United States Department of Agriculture (USDA) 2022

IMPROVING RESILIENCY OF SEMI-ARID AGROECOSYSTEMS AND WATERSHEDS TO CHANGE AND DISTURBANCE THROUGH DATA-DRIVEN RESEARCH, AI, AND INTEGRATED MODELS

Resilience Agroecosystem Semi-arid

United States Department of Agriculture (USDA) National Institute of Food and Agriculture

Titre : IMPROVING RESILIENCY OF SEMI-ARID AGROECOSYSTEMS AND WATERSHEDS TO CHANGE AND DISTURBANCE THROUGH DATA-DRIVEN RESEARCH, AI, AND INTEGRATED MODELS

Identification : 0441606

Pays : Etats Unis

Durée : START : 06 FEB 2022 TERM : 05 FEB 2027

Objectifs
Objective 1 : Improve biophysical and ecohydrologic components of crop and ecosystem services models ranging in spatial scale from sub-field areas to watersheds by linking process-based modeling, data assimilation, and artificial intelligence (AI). Sub-objective 1.A : Develop ecophysiological model components for croplands. Sub-objective 1.B : Enhance modeling of crop phenology, yield, and ET in semi-arid conditions at daily to seasonal and plot to watershed scales. Objective 2 : Inform precision agriculture (water and nutrient management in crop systems) and precision conservation within fields, across farms, and at regional watershed scales, using high-resolution process modeling and machine learning. Sub-objective 2.A : Improve the Agricultural Ecosystems Services (AgES) process model using components from Objective 1 ; develop and test a subdaily version of AgES. Sub-objective 2.B : Apply AgES to simulate on-farm precision conservation ; train surrogate models for users ; publish long-term data and results. Objective 3 : Quantify current and future impacts of climate variability, land-use change, land disturbance (e.g., wildfire, insect infestation), and rehabilitation on water resources from source-water catchments in snow-dominated agricultural watersheds. Sub-objective 3.A : Develop and implement snow-process model components and ecosystem �¿ hydrometeorology interactions. Sub-objective 3.B : Develop geospatial methods to analyze and model hydrologic function and response to change, from â¿¿fire to farmâ¿�. Sub-objective 3.C : Predict the ecohydrological impact of precision-conservation treatments in source-area catchments. Objective 4. Develop management practices incorporating the latest technology developments for a field-size aspirational four-year dryland crop rotation system with precision nutrient, agrichemical, and weed control and crop population management. 211 C1 PS1C, C3 PS3A. Objective 5. Compare yields, economic returns, and environmental impacts of the aspirational dryland rotation system to the system that is currently used by producers of the region. 211 C1 PS1C, C3 PS3A.

Performing Institution : AGRICULTURAL RESEARCH SERVICE 2150 CENTRE AVE BLDG D STE 310 FORT COLLINS, COLORADO 80526
Investigator : BARNARD D M ; GREEN T R ; MIKHA M M ; MANKIN K R

Présentation : USDA (NIFA)

Page publiée le 29 avril 2023