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Publications

This list of publications includes peer-review journal articles, official USGS publications series, reports and more authored by scientists in the Ecosystems Mission Area. A database of all USGS publications, with advanced search features, can be accessed at the USGS Publications Warehouse.  

Filter Total Items: 42712

Cgsim: An R package for simulation of population genetics for conservation and management applications Cgsim: An R package for simulation of population genetics for conservation and management applications

Wildlife conservation and management increasingly considers genetic information to plan, understand and evaluate implemented population interventions. These actions commonly include conservation translocation and population reductions through removals. Change in genetic variation in response to management actions can be unintuitive due to the influence of multiple interacting drivers (e...
Authors
Shawna J Zimmerman, Sara J. Oyler-McCance

Sampling dragonflies for mercury analysis in Grand Canyon National Park, 2018–2024: A contribution of the Dragonfly Mercury Project Sampling dragonflies for mercury analysis in Grand Canyon National Park, 2018–2024: A contribution of the Dragonfly Mercury Project

The Dragonfly Mercury Project is a collaborative initiative that utilizes dragonfly larvae as biosentinels to monitor mercury concentrations across 180 national parks and other protected lands, including Grand Canyon National Park (GRCA). These indicators serve as surrogates for environmental risk and can indicate where fish consumption could pose health risks through exposure to mercury...
Authors
Colleen M. Flanagan Pritz, Colleen Emery, Branden L. Johnson, James Willacker, Christopher James Kotalik, Katherine Ko, Michael A. Bell, David Walters, Collin A. Eagles-Smith

Biodiversity on public lands: How community science can help Biodiversity on public lands: How community science can help

Species inventories are crucial for conservation but are difficult to assemble and maintain. Bioblitzes, which encourage the public to document biodiversity in a particular area and timeframe, may offer useful information but their integration with other datasets poses challenges. We investigated the potential contribution of bioblitzes to natural resource management using observations...
Authors
Amanda Katzer, Erin Boydston, Michael E. Akresh, Jennifer S. Briggs, Kelsey Cooper, Vijay Barve, Lena Lee, Toni Lyn Morelli

Keystone interdependence: Sea otter responses to a prey surplus following the collapse of a rocky intertidal predator Keystone interdependence: Sea otter responses to a prey surplus following the collapse of a rocky intertidal predator

The sea star Pisaster ochraceus and sea otters (Enhydra lutris) are two predators capable of shaping rocky intertidal and kelp forest community structure and functioning. In 2013, a sea star wasting event decimated populations of Pisaster along the west coast of North America. The collapse of this species in the rocky intertidal revealed an unexpected relationship between two keystone...
Authors
Joshua G. Smith, Jessica A. Fujii, Rani Gaddam, Leilani Konrad, Sophia Lyon, Teri E. Nicholson, Peter T. Raimondi, April D. Ridlon, Michelle M. Staedler, Joseph A. Tomoleoni, Julie L Yee, M. Tim Tinker

Exposure to ultraviolet radiation induces escape hatching of Cisco (Coregonus artedi) embryos Exposure to ultraviolet radiation induces escape hatching of Cisco (Coregonus artedi) embryos

Cisco (Otoonapii in Ojibwe; Coregonus artedi Lesueur, 1818), is a widely distributed stenothermic freshwater fish whose embryos typically incubate under ice and in the dark. We used Cisco as a model organism for testing the potential of UV-induced escape hatching behaviour. Owing to reduced ice cover and increased water transparency in north temperate lakes, these experiments provide...
Authors
Nicole Lynn Berry, David Bunnell, Erin P. Overholt, Jennifer A. Schumacher, Addison Z. Almeda, Casey W. Schoenebeck, Peter C. Jacobson, Kristopher Dey, Jason B. Smith, Andrew Tucker, Thomas J. Fisher, Elizabeth M. Mette, Bradley N. Carlson, Gretchen J.A. Hansen, Tyler D. Ahrenstorff, Derek L. Bahr, Kevin Keeler, Brian Weidel, Abigail Lynch, Craig E. Williamson

Assessing shifting technology in genetic monitoring of the North American plains bison Federal conservation herds Assessing shifting technology in genetic monitoring of the North American plains bison Federal conservation herds

Human expansion is a major driver of both declining wildlife abundance and the contraction of species’ distributions, increasing the risk of genetic erosion and the need for genetic monitoring. Rapidly advancing technology has expanded the types of genetic data that are available for wildlife conservation. However, inferences from different genetic markers could result in different...
Authors
Shawna J Zimmerman, Rachael Marie Giglio, Chris Geremia, Lee C. Jones, Blake McCann, Timothy J Smyser, Brendan J Moynahan, Sara J. Oyler-McCance

Increased flood exposure in the Pacific Northwest following earthquake-driven subsidence and sea-level rise Increased flood exposure in the Pacific Northwest following earthquake-driven subsidence and sea-level rise

Climate-driven sea-level rise is increasing the frequency of coastal flooding worldwide, exacerbated locally by factors like land subsidence from groundwater and resource extraction. However, a process rarely considered in future sea-level rise scenarios is sudden (over minutes) land subsidence associated with great (>M8) earthquakes, which can exceed 1 m. Along the Washington, Oregon...
Authors
Tina Dura, William Chilton, David Small, Andra Garner, Andrea D. Hawkes, Diego Melgar, Simon E. Engelhart, Lydia M. Staisch, Robert C. Witter, Alan Nelson, Harvey Kelsey, Jonathan Allan, David S. Bruce, Jessica DePaolis, Mike Priddy, Richard W. Briggs, Robert Weiss, SeanPaul La Selle, Michael J. Willis, Benjamin P. Horton

Mapping predicted ecological states at landscape scales using remote sensing data and machine learning Mapping predicted ecological states at landscape scales using remote sensing data and machine learning

Dryland ecosystems, covering 45% of the Earth's land and supporting over one-third of the global population, face significant threats from land degradation and ecological state change. Managing these ecosystems is complex, and science-based frameworks like Ecological Site Descriptions and state-and-transition models are essential tools for guiding decisions to support ecological health...
Authors
Nathan J. Kleist, Christopher T. Domschke, Anna C. Knight, Travis W. Nauman, Michael C. Duniway, Sarah K. Carter

Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements

Evapotranspiration (ET) describes the sum of water transfer from the ground surface through soil evaporation and water loss from leaf stomata into the atmosphere − critical factors linking the global water and carbon cycles. Myriad ET models based on remote sensing data provide spatially continuous estimates of ET; however, leaf photosynthetic information is critical to ensure accurate...
Authors
Sicong Gao, Pamela L. Nagler, William Woodgate, Alfredo Huete, Tanya M. Doody

Genetic structure and diversity in wild populations of the Light-footed Ridgway’s Rail reflect 20 years of augmentation through captive breeding and release Genetic structure and diversity in wild populations of the Light-footed Ridgway’s Rail reflect 20 years of augmentation through captive breeding and release

Captive breeding and release programs aimed at recovery of rare species can be informed by genetic data to help select high-diversity source populations, make pairing decisions to minimize inbreeding, and manage release strategies. We developed a set of 54 microsatellite loci to assess genetic structure and diversity across the United States range of the Light-footed Ridgway’s Rail...
Authors
Amy G. Vandergast, Julia G. Smith, Anna Mitelberg, Dustin A. Wood, Kimberley A. Sawyer, Courtney J. Conway

U.S. Geological Survey 2024 Rocky Mountain Region Science Exchange—Showcasing cutting-edge science to adapt to extreme weather events and stakeholder needs U.S. Geological Survey 2024 Rocky Mountain Region Science Exchange—Showcasing cutting-edge science to adapt to extreme weather events and stakeholder needs

Introduction The Rocky Mountains and the Colorado River Basin in the Western United States are complex, interconnected systems that sustain a large variety of species, including tens of millions of humans. These regions face risks from drought, wildfires, invasive plant and animal species, and habitat reduction. Working with many stakeholders, scientists can help to characterize these...
Authors
William J. Andrews, Timothy N. Titus, Lauren Ellissa Eng, Kristine L. Zellman, Patrick J. Anderson, Jeremy C Havens

Automated snow cover detection on mountain glaciers usingspaceborne imagery and machine learning Automated snow cover detection on mountain glaciers usingspaceborne imagery and machine learning

Tracking the extent of seasonal snow on glaciers over time is critical for assessing glacier vulnerability and the response of glacierized watersheds to climate change. Existing snow cover products do not reliably distinguish seasonal snow from glacier ice and firn, preventing their use for glacier snow cover detection. Despite previous efforts to classify glacier surface facies using...
Authors
Rainey Aberle, Ellyn Enderlin, Shad O'Neel, Caitlyn Florentine, Louis C. Sass, Adam Dickson, Hans-Peter Marshall, Alejandro Flores
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