Rangeland Analysis Platform: Monitor rangelands across the USA
The Rangeland Analysis Platform ( rangelands.app) is a free online application that provides simple and fast access to geospatial vegetation data for U.S. rangelands. The tool was developed to provide landowners, resource managers, conservationists, and scientists access to data that can inform land management planning, decision making, and the evaluation of outcomes. The Rangeland Analysis Platform (RAP) uses innovative cloud computing technology to provide maps and analysis opportunities straight to your desktop, delivered securely and instantaneously.
Data and code from: Use of automated capillary immunoassay for quantification of antibodies in chicken sera against recombinant Salmonella enterica serotype Heidelberg proteins
This entry contains all data and code required to reproduce the analysis of immune response data presented in the manuscript:
Yeh, H.-Y., J. G. Frye, C. R. Jackson, Q. D. Read, J. E. Line, and A. Hinton. 2023. Use of automated capillary immunoassay for quantification of antibodies in chicken sera against recombinant *Salmonella enterica* serotype Heidelberg proteins. *Journal of Microbiological Methods*.
Rmd notebook, HTML output of notebook, and xlsx data files are included.
Grass-Cast Database - Data on aboveground net primary productivity (ANPP), climate data, NDVI, and cattle weight gain for Western U.S. rangelands
Grass-Cast - the grassland productivity forecast system - uses almost 40 years of historical data on weather and vegetation growth to provide estimates of growing season aboveground net primary production (ANPP). This Database details the data sets that are used for informing the projection model.
Manuresheds: Redesigning crop-livestock agriculture for sustainable intensification
The Long-Term Agroecosystem Research (LTAR) network is exploring the concept of the “manureshed,” the manure-spreadable land in the geographic, environmental, and social radius of a confined livestock operation. To better understand opportunities for expanding manuresheds in the United States, we identified the nationwide, county-level pattern of livestock distribution, manure excess, and crop assimilation of manure nutrients.
SPUR2
SPUR2 DOS ver. 2.2 is a general grassland ecosystem simulation model designed to determine beef cattle performance and production by simultaneously simulating production of up to 15 plant species on 36 heterogeneous grassland sites. SPUR2 simulates grassland hydrology, nitrogen cycling, and soil organic matter on grazed ecosystems as well as rangeland production under different climatic regimes, environmental conditions, and management alternatives.
Product System Model for Beef Production 2011
Product system boundaries (cow-calf-finisher, CCF) include all material and energy flows associated with crop production and live cattle operations. Cattle inventory flows include the cow-calf operation and end with market weight finisher cattle and culls resulting from one full year of operation. The total live weight produced in one year is 2914841.44 kg and is comprised of the following animals: Finished cattle: 3724 (581 kg/finisher), Culled cows: 1156 (636 kg/cow), Culled bulls: 58 (908 kg/cow). These data were developed using Integrated Farm System Model and are intended to represent the MARC cattle operation in Nebraska in 2011. The data were a product of a project funded by the National Cattleman's Beef Association.
Data from: How Hives Collapse: Allee Effects, Ecological Resilience, and the Honey Bee
A mathematical model is constructed to quantify the loss of resilience in collapsing honey bee colonies due to the presence of a strong Allee effect. In the model, recruitment and mortality of adult bees have substantial social components, with recruitment enhanced and mortality reduced by additional adult bee numbers.
Gap Analysis of Agrobiodiversity data in GBIF and the NAL Thesaurus
This dataset contains all documents, the text and the pdf files, as well as the code used to carry out a term analysis of agriculturally relevant organisms in the Global Biodiversity Information Facility (GBIF).
- 3x zip