Source: IOWA STATE UNIVERSITY submitted to NRP
DEVELOPMENT AND IMPLEMENTATION OF NATURAL RESOURCE DATABASES FOR IMPROVED RESOURCE PLANNING
Sponsoring Institution
Agricultural Research Service/USDA
Project Status
ACTIVE
Funding Source
USDA COOPERATIVE AGREEMENT
Reporting Frequency
Annual
Accession No.
0429639
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Sep 15, 2015
Project End Date
Sep 30, 2018
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
IOWA STATE UNIVERSITY
2229 Lincoln Way
AMES,IA 50011
Performing Department
(N/A)
Non Technical Summary
(N/A)
Animal Health Component
40%
Research Effort Categories
Basic
60%
Applied
40%
Developmental
0%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1320110106010%
6050410107010%
1320420200010%
6050430201015%
1320499207010%
6052410106010%
1323910107015%
6055210200010%
1327210201010%
Knowledge Area
605 - Natural Resource and Environmental Economics; 132 - Weather and Climate;

Subject Of Investigation
0420 - Weather; 3910 - Cross-commodity research--multiple animal species; 0110 - Soil; 0430 - Climate; 0499 - Atmosphere, general/other; 2410 - Cross-commodity research--multiple crops; 0410 - Air; 5210 - Fertilizers; 7210 - Remote sensing equipment and technology;

Field Of Science
2010 - Physics; 2070 - Meteorology and climatology; 1060 - Biology (whole systems); 1070 - Ecology; 2000 - Chemistry;
Goals / Objectives
1. Provide support for the development of natural resources database efforts as part of efforts to support the Long-term Agroecological Research Program (LTAR). 2. Provide support for data integration into database which would support data acquisition, GIS data, research data from different scales, research metadata. 3. Provide support to utilize the ARCGIS server based systems for data acrhival. 4. Enhance data visualiation tools for entering, screening, and dispalying data. 5. Develop spatio-temporal analytical tools for natural resources to address big data efforts linked with LTAR.
Project Methods
This effort supports the facilitation of the on-going development and implementation of data acquisition from a range of scales from plot, field, to watershed from agronomic and watershed experiments. This effort incorporates the ongoing efforts across the Conservation Effects Assessment Program (CEAP), Resilient Economic Agricultural Practices (REAP), Ameriflux, and LTAR to develop integrated databases for the assessment of impacts on natural resources (soil, water, and air) across multiple scales by using geospatial data linked with observational data from different scales. Evaluate statistical tools for downscaling and upscaling natural resource data using a variety of data sources including ground-based and remote sensing observations.