The NAL Agricultural Thesaurus (NALT) was first released by the National Agricultural Library in 2002, with in-depth coverage of agriculture, biology, and related disciplines. It contains over 135,000 terms, including 63,000 cross references, and is arranged into 17 subject categories which are used to…
Data, R Code, and Output Supporting "An Historical Overview and Update of Wolf-Moose Interactions in Northeastern Minnesota"
A historical overview and update of wolf-moose interactions in Northeastern Minnesota. Wildlife Society Bulletin." In this paper and data/R code, we explored relationships between wolf numbers, monitored in part of the Minnesota moose range, and moose calf:population and estimated log annual growth rates of moose in Northeast Minnesota.
National Extension Web-mapping Tool (or NEWT), is the key in efforts to make spatial data available within the Cooperative Extension System. NEWT requires no GIS experience to use. NEWT provides access to relevant spatial data at a variety of scales (national, state, county) in useful formats (maps, tables, graphs),
Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) Simulation Model
The Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) model simulates crop growth, competition, light interception by leaves, biomass accumulation, partitioning of biomass into grain, water use, nutrient uptake, and growth constraints such as water, temperature, and nutrient stress. Plant development is temperature driven, with duration of growth stages dependent on degree days. Each plant species has a defined base temperature and optimum temperature.
This site provides access to the WEPS software version used for official purposes by NRCS field offices and Technical Service providers. NRCS developed and maintains the components of the WEPS Databases and information on this site. The USDA-Agricultural Research Service is the lead agency for developing the science in the WEPS model and the model interface. WEPS predicts many forms of soil erosion by wind such as saltation-creep and suspension including PM-10.
USDA Forest Service Remote Sensing Applications Center and Geospatial Technology and Applications Center
The Forest Service's Remote Sensing Applications Center (RSAC) is in Salt Lake City, Utah, co-located with the agency's Geospatial Service and Technology Center. Guided by national steering committees and field sponsors, RSAC provides national assistance to agency field units in applying the most advanced geospatial technology toward improved monitoring and mapping of natural resources. RSAC's principal goal is to develop and implement less costly ways for the Forest Service to obtain needed forest resource information.
The USDA maintains a database of plant information - USDA Plants Database - containing trait data, some of its life history. This resource is an independently created RESTful API for that data. The API, and open issues for bugs/feature requests can be found in the GitHub repository. This tool can be used from the command line, R, Ruby, Python, a browser, etc.
This site provides free access to Iowa geographic map data through an on-line map viewer and through Web Map Service (WMS) connections for GIS. The site was developed by the Iowa State University Geographic Information Systems Support and Research Facility in cooperation with the Iowa Department of Natural Resources, the USDA Natural Resources Conservation Service, and the Massachusetts Institute of Technology. This site was first launched in March 1999.
A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources, College of Agricultural and Environmental Sciences - Department of Entomology, Center for Invasive Species and Ecosystem Health, Weed Science Society of America and the USDA/APHIS Identification Technology Program, Weed Images image categories include: Habit: Aquatics, Herbs/Forbs, Grasses, Shrubs, Trees, Vines; Herbicides: Mechanism of Action, HRAC or WSSA Group; Most Troublesome and Most Common Weed Lists.
A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources and College of Agricultural and Environmental Sciences, The Center for Invasive Species and Ecosystem Health, USDA National Institute of Food and Agriculture, Southern Integrated Pest Management Center, Southern Plant Diagnostic Network, and USDA/APHIS Identification Technology Program, IPM Images image categories include: Commodity Groups; Taxonomy; Biological Controls; Damage Types; and Diseases.