Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190): ARDN Products
ARDN (Agricultural Research Data Network) annotations for Sustainable Corn CAP Research Data (USDA-NIFA Award No. 2011-68002-30190). These data are a subset of the Sustainable Corn CAP (Cropping Systems Coordinated Agricultural Project: Climate Change, Mitigation, and Adaptation in Corn-based Cropping Systems) data specifically developed for Agricultural Research Data Network with csv and json files for easy ingestion into crop models.
Data from: Carbon sequestration and biodiversity co‐benefits of preserving forests in the western United States
Forest carbon sequestration via forest preservation can be a viable climate change mitigation strategy. Here, we identify forests in the western conterminous United States with high potential carbon sequestration and low vulnerability to future drought and fire, as simulated using the Community Land Model and two high carbon emission scenario (RCP 8.5) climate models.
Data from: A database for global soil health assessment
The SoilHealthDB database integrates soil health measurements conducted in the field from sites across the globe. SoilHealthDC currently focuses on four main conservation management methods: cover crops, no-tillage, agro-forestry systems, and organic farming. These studies represent 354 geographic sites (i.e., locations with unique latitudes and longitudes) in 42 countries around the world. The SoilHealthDB includes 42 soil health indicators and 46 background indicators that describe factors such as climate, elevation, and soil type.
Data from: Invasive forb benefits from water savings by native plants and carbon fertilization under elevated CO2 and warming
To test the hypothesis that elevated CO2 and warming would strongly influence invasive species success in a semi‐arid grassland as a result of both direct and water‐mediated indirect effects, the invasive forb Linaria dalmatica was transplanted into mixed‐grass prairie treated with free‐air CO2 enrichment and infrared warming, and survival, growth, and reproduction followed over 4 yr. Leaf gas exchange and carbon isotopic composition in L. dalmatica and the dominant native C3 grass Pascopyrum smithii were also measured.
Vegetation, rainfall simulation, and overland flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the SageSTEP hydrology study
Simulated rainfall and overland-flow experiments are useful for enhancing understanding of surface hydrologic and erosion processes, quantifying runoff and erosion rates, and developing and testing predictive quantitative models. This extensive dataset consists of rainfall simulation and overland flow experimental plot data coupled with associated measures of vegetation, ground cover, and surface soil properties across point to hillslope scales. Data were collected at three woodland-encroached sagebrush (*Artemisia* spp.) rangelands in the Great Basin, USA, under undisturbed/untreated conditions and 1 yr to 9 yr following fire and/or mechanical tree-removal treatments.
Data from: Mitigating nitrogen pollution with under-sown legume-grass cover crop mixtures in winter cereals
This study was part of a cover crop-based, organic rotational no-till cropping systems experiment conducted from 2015-2017 at Pennsylvania State University’s Russell E. Larson Agricultural Research Center in Rock Springs, PA, USA, employing a corn (*Zea mays* subsp. mays L.), soybean (*Glycine max* (L.) Merr.), spelt (*Triticum spelta* L.) rotation that is typical for feed and forage farmers in the Mid-Atlantic USA. Data include: Nitrate leaching from anion resin bags; Nitrous oxide fluxes from static chambers and isotopomers; Soil inorganic N including ammonium and nitrate; Soil moisture and temperature; Cover crop biomass as well as carbon and nitrogen content and nitrogen isotope ratios; Cash crop yields.
Antarctica Soil Climate Research Stations
Nine long-term soil-climate stations in Antarctica were set up to study the effects of latitude, elevation, and soil age. Stations monitor soil temperature, soil water content, air temperature, relative humidity, solar radiation, and wind (speed and direction). Stations: Bull Pass, Bull Pass East, Don Juan Pond, Granite Harbour, Marble Point, Minna Bluff, Mt. Fleming, Scott Base, Victoria Valley. Information and data presented for each station cover Personnel; Description of Station, Data, and Soils; Graphic Display of Data (HTML); Download Data (daily averages) by Year, (Excel).
Alaska Soil Climate Research Stations
Stations in Alaska were installed to study the effects of climate change detected in the seasonal thaw characteristics and active-layer depths of permafrost soils. Nine stations on the North Slope of Alaska primarily focus on monitoring soil temperature and soil moisture. Each station measures atmospheric parameters and soil parameters (moisture and temperature). Stations: Atqasuk, Barrow (Sites 1 and 2), Betty Pingo, Sagwagon (Sites 1 and 2), Toolik, Westdock (High and Low). Information and data presented for each station cover Personnel; Description of Station, Data, and Soils; Graphic Display of Data (HTML); Download Data (daily averages) by Year, (Excel).
Java Newhall Simulation Model (jNSM)
The Java Newhall Simulation Model or jNSM is a mesoscale model that is appropriate for use in regional geospatial analyses that support the MLRA update of published digital soil geographic databases (SSURGO/STATSGO2). This software can be used with monthly, serially complete records from weather stations, Soil Climate Analysis Network (SCAN) stations, and local soil climate monitoring sensors.