Tracking Spatial and Temporal Habitat Changes for an Endangered Rodent

Submitted by atripp on Wed, 12/28/2022 - 09:18

The New Mexico meadow jumping mouse (Zapus hudsonius luteus), which was listed as endangered in 2014, historically ranged throughout the Middle Rio Grande River Valley in New Mexico and along perennial high-elevation streams in New Mexico, southern Colorado, and eastern Arizona. After years of drought, river modifications, and changes to habitat, many previously occupied jumping mouse populations are believed to be extirpated.

Enhancing Migratory Bird Surveys

Submitted by atripp on Wed, 12/28/2022 - 09:11

The FWS is using airborne remote sensing technologies to enhance migratory bird surveys to 1) enhance safety of aircrews conducting surveys by allowing flight at higher altitudes, 2) improve the quality of population and habitat data collected by minimizing and quantifying error rates, and 3) increase bird survey efficiency and utility by creating consistent automated processes. The FWS is partnering with the Bureau of Ocean Energy Management (BOEM), U.S.

Convolutional Neural Networks for Detecting Abandoned Oil and Gas Wells

Submitted by atripp on Wed, 12/28/2022 - 08:53

Abandoned gas and oil wells are commonly a source of greenhouse gas (GHG) emissions and can leak hydrocarbon-related fluids such as oil or brine, particularly when unplugged wells go undetected over long periods. Older wells are challenging to discover when vegetation has overgrown abandoned sites. As in other parts of the country, FWS National Wildlife Refuges (NWR) in Oklahoma and Texas contain a large number of abandoned wells from historical oil and gas development.

Modeling Sea Level Rise Impacts to Wildlife Habitat

Submitted by atripp on Wed, 12/28/2022 - 08:26

Sea level rise inundation on important Department of Interior (DOI) conservation lands was estimated using U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) high-resolution light detection and ranging (lidar) data coupled with National Oceanic and Atmospheric Administration (NOAA) models. Projections for DOI lands were made from all the Global Sea Level Rise models and time steps from 2000 to 2100 to assist in climate resiliency planning. 

High-resolution Mapping of Energy Infrastructure and Impacts on Mule Deer Movement

Submitted by atripp on Tue, 12/27/2022 - 09:13

Mule deer are known to avoid human disturbances, including energy infrastructure and development. By combining remote sensing data, GIS modeling, and information on energy expenditure of mule deer, researchers developed a spatiotemporal model to map the minimum energy expenditure required for mule deer to traverse a landscape with increasing levels of oil and gas development on the northern Colorado Plateau.