The Aquatic eDNAtlas Project: Lab Results Map - USFS RMRS

The eDNA samples in the eDNAtlas database describe species occurrence locations and were collected by the U.S. Forest Service and numerous agencies that have partnered with the National Genomics Center for Wildlife and Fish Conservation (NGC) throughout the United States. The eDNAtlas is accessed via an interactive ArcGIS Online (AGOL) map that allows users to view and download sample site information and lab results of species occurrence for the U.S. The results are primarily based on samples analyzed at the National Genomics Center for Wildlife and Fish Conservation (NGC) and associated with geospatial attributes created by the Boise Spatial Streams Group (BSSG).

Genomics and Genetics

The Range-Wide Bull Trout eDNA Project - USFS RMRS

The bull trout (Salvelinus confluentus) eDNA survey results Online Map allows users to view the survey results in an interactive map by coupling 1) predictions from the range-wide, spatially precise Climate Shield model on the location of natal habitats of bull trout with 2) a sampling template for every 8-digit hydrologic unit in the historical range of bull trout, based on the probability of detecting bull trout presence using environmental DNA (eDNA) sampling. The map provides the ability to zoom in and look at an area of interest, as well as to create queries or select an area to download points as a shapefile.

Genomics and Genetics

Data from: Range size, local abundance and effect inform species descriptions at scales relevant for local conservation practice

This study describes how metrics defining invasions may be more broadly applied to both native and invasive species in vegetation management, supporting their relevance to local scales of species conservation and management. A sample monitoring dataset is used to compare range size, local abundance and effect as well as summary calculations of landscape penetration (range size × local abundance) and impact (landscape penetration × effect) for native and invasive species in the mixed-grass plant community of western North Dakota, USA.

Agroecosystems & Environment

Data from: The downed and dead wood inventory of forests in the United States

The Forest Inventory and Analysis program of the United States (US) Forest Service has conducted an annual downed dead wood (DDW) inventory on all coterminous US forest land since 2002 (~1 plot per 38,850 ha), with a sample intensification occurring since 2012 (~1 plot per 19,425 ha). The data are organized according to DDW components and by sampling information which can all be linked to a multitude of auxiliary information in the national database.

Agroecosystems & Environment

RF-CLASS: Remote-sensing-based Flood Crop Loss Assessment Service System

The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS) is an Earth Observation (EO) based flood crop loss assessment cyber-service system operated by the Center for Spatial Information Science and Systems (CSISS), George Mason University. RF-CLASS supports flood-related crop statistics and insurance decision-making.

Maps and Multimedia

NAL Agricultural Thesaurus and Glossary

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…

Ag Data Commons

pySnobal

Spatial Modeling for Resources Framework (SMRF) was developed at the USDA Agricultural Research Service (ARS) in Boise, ID, and was designed to increase the flexibility of taking measured weather data and distributing the point measurements across a watershed.

Agroecosystems & Environment

Automated Water Supply Model (AWSM)

Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service in Boise, ID, to streamline the workflow used to forecast the water supply of multiple water basins.

Spatial Modeling for Resources Framework (SMRF)

Spatial Modeling for Resources Framework (SMRF) was developed at the USDA Agricultural Research Service (ARS) in Boise, ID, and was designed to increase the flexibility of taking measured weather data and distributing the point measurements across a watershed.

Agroecosystems & Environment