The Middleton Municipal Airport–Morey Field (C29) is in the City of Middleton and adjacent to the towns of Middleton and Springfield, Wisconsin. Nearby homes in the towns rely on private drinking water wells, and residents are concerned about the potential contamination of groundwater and surface water by airport activities, including flights by small aircraft that use leaded aviation fuel and a fireworks display in July 2021.
The U.S. Geological Survey, in cooperation with the Town of Middleton, completed a study in 2022 to characterize the occurrence and sources of perchlorate, metals (including lead), and organic compounds in samples of groundwater, surface water, shallow groundwater, and soils within and near the airport. Lead isotopes were also measured to determine sources of lead by comparing samples to environmental references.
Magnitudes of concentrations from samples of water and soil collected in 2022, and their spatial patterns across site locations, indicate the fireworks display in July 2021 was a likely source of perchlorate and metals in the airport study area. The highest perchlorate concentration was measured in surface water at the southeastern corner of the airport near the fireworks launch site; the highest concentrations of fireworks-associated metals were measured in shallow groundwater near the same location. Fireworks were not the only possible source of perchlorate and metals in the airport study area because both were also detected upgradient and away from the fireworks launch site.
Ratios of lead isotopes indicate that lead measured in water and soil within the airport study area was primarily sourced from background atmospheric lead deposition or Wisconsin galena lead ore. However, two groundwater samples (one upgradient and one downgradient from the airport; both with concentrations less than 1 microgram per liter) had isotopic signatures matching leaded aviation fuel sold at the airport.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245113","collaboration":"Prepared in cooperation with the Town of Middleton, Wisconsin","usgsCitation":"Schachter, L.A., and Stuntebeck, T.D., 2024, Perchlorate, metals, organic compounds, and lead isotopes in groundwater, surface water, shallow groundwater, and soil within and near the Middleton Municipal Airport–Morey Field (C29), Middleton, Wisconsin, 2022: U.S. Geological Survey Scientific Investigations Report 2024–5113, 55 p., https://doi.org/10.3133/sir20245113.","productDescription":"Report: viii, 55 p.; Data Release; Dataset","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166313","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":494232,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118085.htm","linkFileType":{"id":5,"text":"html"}},{"id":465140,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245113/full"},{"id":465139,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":465137,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5113/images/"},{"id":465135,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5113/sir20245113.pdf","text":"Report","size":"9.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5113"},{"id":465134,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5113/coverthb.jpg"},{"id":465138,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IEJULZ","text":"USGS data release","linkHelpText":"Lead concentrations and isotope ratios for selected water and soil samples near Middleton Municipal Airport–Morey Field (C29), Middleton, WI, 2022"},{"id":465136,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5113/sir20245113.XML"}],"country":"United States","state":"Wisconsin","city":"Middleton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.55428476671052,\n 43.12980057216322\n ],\n [\n -89.55428476671052,\n 43.11162168312745\n ],\n [\n -89.51852520964913,\n 43.11162168312745\n ],\n [\n -89.51852520964913,\n 43.12980057216322\n ],\n [\n -89.55428476671052,\n 43.12980057216322\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
1992 Folwell Avenue
St. Paul, MN 55108
Long-term drought caused Lake Powell, a reservoir on the Colorado River (USA), to decline to its lowest elevation in >50 years during 2022–2023, allowing warm water to pass through intakes of Glen Canyon Dam and facilitating invasion by non-native Smallmouth Bass (Micropterus dolomieu). Establishment of bass downstream of the dam could threaten persistence of several native fishes, including two federally listed species. Subsequent detection of larval Smallmouth Bass in a spring-fed slough (river mile -12 slough) connected to the river in Glen Canyon National Recreation Area (NRA) increased urgency to stem further invasion. The National Park Service is evaluating proposed actions to limit effects from non-native predators on native species in the Colorado River, including potentially channelizing the slough. This locally rare, spring-fed waterbody provides habitat for other species, including Western Tiger Salamanders (Ambystoma mavortium subsp.) of uncertain origin. We found salamanders from the slough had two distinct mitochondrial DNA haplotypes identical to sequences from nearby Arizona Tiger Salamander (A. m. nebulosum) populations, confirming they are the native genotype. We detected Red-spotted Toads (Anaxyrus punctatus) and Woodhouse’s Toads (A. woodhousii) from three other sites in Glen Canyon NRA and 34 sites in adjacent, downstream Grand Canyon National Park (spanning ∼464 km of river) with environmental DNA and traditional surveys. However, we did not detect salamanders elsewhere, matching prior information that salamanders are rare in the Colorado River corridor below Glen Canyon Dam. Based on this information, we discuss management options for the local population of Arizona Tiger Salamanders.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2024.12.15.628570","usgsCitation":"Hossack, B., Stemp, K.M., Goldberg, C.S., Duke, A.C., Preston, T., Arnold, J.A., and Ray, A.R., 2024, Rare habitats, rare species, and invasive predators highlight management complexities in the Colorado River system: BioRxiv, https://doi.org/10.1101/2024.12.15.628570.","productDescription":"21 p.","ipdsId":"IP-173018","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496928,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2024.12.15.628570","text":"External Repository"},{"id":496819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hossack, Blake 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":207343,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stemp, Kenzi Marie 0000-0001-7566-8513","orcid":"https://orcid.org/0000-0001-7566-8513","contributorId":362931,"corporation":false,"usgs":true,"family":"Stemp","given":"Kenzi","middleInitial":"Marie","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Caren S","contributorId":362932,"corporation":false,"usgs":false,"family":"Goldberg","given":"Caren","middleInitial":"S","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":950846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duke, Alexandra C.","contributorId":362933,"corporation":false,"usgs":false,"family":"Duke","given":"Alexandra","middleInitial":"C.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":950847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preston, Taryn","contributorId":292557,"corporation":false,"usgs":false,"family":"Preston","given":"Taryn","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":950848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arnold, J. Andrew","contributorId":213088,"corporation":false,"usgs":false,"family":"Arnold","given":"J.","email":"","middleInitial":"Andrew","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":950849,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ray, Adam R","contributorId":148959,"corporation":false,"usgs":false,"family":"Ray","given":"Adam","email":"","middleInitial":"R","affiliations":[{"id":17603,"text":"Department of Fisheries and Wildlife, Oregon State University, 104 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR 97331","active":true,"usgs":false}],"preferred":false,"id":950850,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261851,"text":"70261851 - 2024 - Bee habitat, but not bee community structure, varies across grassland management in four national parks in the Mid-Atlantic, USA","interactions":[],"lastModifiedDate":"2024-12-31T15:24:53.181359","indexId":"70261851","displayToPublicDate":"2024-12-17T08:49:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Bee habitat, but not bee community structure, varies across grassland management in four national parks in the Mid-Atlantic, USA","docAbstract":"National parks in the U.S. play a large role in providing habitat for native pollinators. In parks that are established to preserve cultural landscapes, park managers recognize an opportunity to improve pollinator habitat while maintaining historically accurate conditions. In this study we document floral resources and native bees within managed park grasslands, with the goal of providing managers information to help them maximize pollinator habitat while meeting other management objectives. The study was performed on 37 grassland properties in the mid-Atlantic region of the eastern U.S., distributed across four national parks; each property was managed with one of three management types: cool-season hayed, cool-season pasture, or warm-season meadows managed with multiple approaches. We surveyed bees and open flowers on 50-m transects twice each year in 2021 and 2022. Repeated measures ANOVA models revealed mean bee abundance, richness, evenness, and diversity did not vary among sites or management types. This finding was further supported by a principal coordinates analysis that showed bee community composition was similar across management types. Nonetheless, we found evidence to indicate the three management types did not produce equivalent habitat for bees. Species accumulation curves showed that the effective number of flower species was consistently lower in cool-season pastures, relative to the other two management types. Furthermore, we detected positive correlations between bee and flower diversity metrics in one of the two years, suggesting that floral metrics can influence bee communities, at least under certain conditions. Collectively, our study suggests that cool-season fields that are hayed and warm-season meadows have higher floral diversity than cool-season pastures within national parks of the mid-Atlantic region, and this higher diversity of forbs has the potential to benefit native bee diversity.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70719","usgsCitation":"Larson, D., Landsman, A.P., Simanonok, M., Larson, J., Davies, C., and Otto, C., 2024, Bee habitat, but not bee community structure, varies across grassland management in four national parks in the Mid-Atlantic, USA: Ecology and Evolution, v. 14, no. 12, e70719, 12 p., https://doi.org/10.1002/ece3.70719.","productDescription":"e70719, 12 p.","ipdsId":"IP-165538","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":466712,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70719","text":"Publisher Index Page"},{"id":465562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Antietam National Battlefield, Chesapeake and Ohio Canal National Historical Park, Manassas National Battlefield Park, Monocacy National Battlefield","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.87075132703544,\n 38.76343738595514\n ],\n [\n -77.19342578059188,\n 38.76343738595514\n ],\n [\n -77.19342578059188,\n 39.7128528705739\n ],\n [\n -78.87075132703544,\n 39.7128528705739\n ],\n [\n -78.87075132703544,\n 38.76343738595514\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Diane L. 0000-0001-5202-0634","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":260165,"corporation":false,"usgs":true,"family":"Larson","given":"Diane L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landsman, Andrew P 0000-0002-4750-819X","orcid":"https://orcid.org/0000-0002-4750-819X","contributorId":291247,"corporation":false,"usgs":false,"family":"Landsman","given":"Andrew","email":"","middleInitial":"P","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":922030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simanonok, Michael 0000-0002-4710-4515","orcid":"https://orcid.org/0000-0002-4710-4515","contributorId":228829,"corporation":false,"usgs":false,"family":"Simanonok","given":"Michael","email":"","affiliations":[],"preferred":false,"id":922031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Jennifer L. 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":317994,"corporation":false,"usgs":false,"family":"Larson","given":"Jennifer L.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":922032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Cora","contributorId":347591,"corporation":false,"usgs":false,"family":"Davies","given":"Cora","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":922033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922034,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261814,"text":"70261814 - 2024 - Partly cloudy with a chance of mosquitoes: Developing a flexible approach to forecasting mosquito populations","interactions":[],"lastModifiedDate":"2024-12-26T15:14:45.383291","indexId":"70261814","displayToPublicDate":"2024-12-17T08:05:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Partly cloudy with a chance of mosquitoes: Developing a flexible approach to forecasting mosquito populations","docAbstract":"Climate-induced shifts in mosquito phenology and population structure have important implications for the health of humans and wildlife. The timing and intensity of mosquito interactions with infected and susceptible hosts are a primary determinant of vector-borne disease dynamics. Like most ectotherms, rates of mosquito development and corresponding phenological patterns are expected to change under shifting climates. However, developing accurate forecast of mosquito phenology under climate change that can be used to inform management programs remains challenging despite an abundance of available data. As climate change will have variable effects on mosquito demography and phenology across species it is vital that we identify associated traits which may explain the observed variation. Here, we review a suite of modeling approaches that could be applied to generate forecasts of mosquito activity under climate change and evaluate the strengths and weaknesses of the different approaches. We describe four primary life-history and physiological traits that can be used to constrain models and demonstrate how this prior information can be harnessed to develop a more general understanding of how mosquito activity will shift under changing climates. Combining a trait-based approach with appropriate modeling techniques can allow for the development of actionable, flexible, and multi-scale forecasts of mosquito population dynamics and phenology for diverse stakeholders.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.70074","usgsCitation":"Mcdevitt-Galles, T., DeGaetano, A., Elmendorf, S., Foster, J., Ginsberg, H., Hooten, M.B., LaDeau, S., McClure, K.M., Paull, S.H., Posthumus, E.E., Rochlin, I., and Grear, D.A., 2024, Partly cloudy with a chance of mosquitoes: Developing a flexible approach to forecasting mosquito populations: Ecosphere, v. 15, no. 12, e70074, 17 p., https://doi.org/10.1002/ecs2.70074.","productDescription":"e70074, 17 p.","ipdsId":"IP-155775","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":466713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70074","text":"Publisher Index Page"},{"id":465460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.66548403699112,\n 47.19667094970478\n ],\n [\n -88.50420169961106,\n 44.205989638511255\n ],\n [\n -87.90485319328981,\n 41.39073197003515\n ],\n [\n -82.86371026854579,\n 41.70904546715229\n ],\n [\n -82.40184439476982,\n 43.538614110411345\n ],\n [\n -83.49315804844203,\n 46.63943412739803\n ],\n [\n -86.86116175538491,\n 47.49199734956696\n ],\n [\n -88.28863179000962,\n 47.61050307535439\n ],\n [\n -89.66548403699112,\n 47.19667094970478\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Mcdevitt-Galles, Travis 0000-0002-4929-5431","orcid":"https://orcid.org/0000-0002-4929-5431","contributorId":315374,"corporation":false,"usgs":true,"family":"Mcdevitt-Galles","given":"Travis","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":921903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeGaetano, Arthur 0000-0002-0183-1346","orcid":"https://orcid.org/0000-0002-0183-1346","contributorId":347511,"corporation":false,"usgs":false,"family":"DeGaetano","given":"Arthur","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":921904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elmendorf, Sarah 0000-0003-1085-8521","orcid":"https://orcid.org/0000-0003-1085-8521","contributorId":347512,"corporation":false,"usgs":false,"family":"Elmendorf","given":"Sarah","affiliations":[{"id":83184,"text":"University of Colorado: Boulder","active":true,"usgs":false}],"preferred":false,"id":921905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, John R. 0000-0002-7526-3177","orcid":"https://orcid.org/0000-0002-7526-3177","contributorId":347513,"corporation":false,"usgs":false,"family":"Foster","given":"John R.","affiliations":[],"preferred":false,"id":921906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":347514,"corporation":false,"usgs":false,"family":"Ginsberg","given":"Howard S.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":921907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":292295,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":921908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaDeau, Shannon 0000-0003-4825-5435","orcid":"https://orcid.org/0000-0003-4825-5435","contributorId":347515,"corporation":false,"usgs":false,"family":"LaDeau","given":"Shannon","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":921909,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McClure, Katherine Maria 0000-0001-8595-7677","orcid":"https://orcid.org/0000-0001-8595-7677","contributorId":332279,"corporation":false,"usgs":true,"family":"McClure","given":"Katherine","email":"","middleInitial":"Maria","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":921910,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paull, S. 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The area being mapped using geophysical and geological data includes the SBNMS and the surrounding region, which totals approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. The seabed is a glaciated terrain that is topographically and texturally diverse. Quadrangle 2, the subject of this scientific investigations map, has a mapped area of 209 km2 and has water depths that range from about 19 meters (m) on the Stellwagen Bank crest to about 68 m in the Stellwagen Basin. Seven map types, each at a scale of 1:25,000, depict seabed topography, ruggedness, backscatter intensity, distribution of geologic substrates, sediment mobility, distribution of fine- and coarse-grained sand, and substrate mud content. These maps show the distribution of geologic substrates across the southwestern part of Stellwagen Bank, in Stellwagen Basin to the west and southwest of the bank, and in Little Stellwagen Basin and the western part of Race Point Channel to the south of the bank. Interpretations of multibeam sonar bathymetric and seabed backscatter imagery, photographs, video imagery, and grain-size analyses were used to create the geology-based maps. Data from 733 stations were analyzed, including 656 sediment samples. The geologic substrate maps of quadrangle 2 show the distribution of 19 geologic substrates that represent a wide range of textures, such as rippled and immobile sand, immobile muddy sand and sandy mud, sand that partially veneers gravel, and a boulder ridge. Mapped substrates are characterized by sediment grain-size composition, surface morphology, substrate layering, the mobility or immobility of substrate surfaces, and water depth range. This scientific investigations map portrays the major geological elements (substrates, topographic features, and processes) of environments in quadrangle 2. It is intended to provide a foundation for research into present and past sediment transport processes in a complex terrain, provide insights into the ecological requirements of invertebrate and vertebrate species that utilize the various substrates, and support seabed management in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3530","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","programNote":"Coastal/Marine Hazards and Resources Program","usgsCitation":"Valentine, P.C., and Cross, V.A., 2024, Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in quadrangle 2 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3530, 8 sheets, scale 1:25,000, 27-p. pamphlet, https://doi.org/10.3133/sim3530.","productDescription":"Pamphlet: v, 27 p.; 8 Sheets: 26.98 x 35.69 inches or smaller; Data Release","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-153982","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499036,"rank":17,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118083.htm","linkFileType":{"id":5,"text":"html"}},{"id":465083,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3341","text":"Scientific Investigations Map 3341","linkHelpText":"- Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in Quadrangle 6 of the Stellwagen Bank National Marine Sanctuary Region offshore of Boston, Massachusetts"},{"id":465082,"rank":15,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3515","text":"Scientific Investigations Map 3515","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 5 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":465080,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_mapF.pdf","text":"Map F","size":"876 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 Map F","linkHelpText":"- Distribution of Fine- and Coarse-Grained Sand and Boulder Ridges"},{"id":465079,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_mapE.pdf","text":"Map E","size":"882 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 Map E","linkHelpText":"- Sediment Mobility"},{"id":465078,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_mapD2.pdf","text":"Map D, Sheet 2","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 Map D2","linkHelpText":"- Distribution of Geologic Substrates: Seabed geology and sun-illuminated topography"},{"id":502036,"rank":18,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3544","text":"Scientific Investigations Map 3544","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 3 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":465081,"rank":14,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_mapG.pdf","text":"Map G","size":"895 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 Map G","linkHelpText":"- Distribution of Substrate Mud Content and Boulder Ridges"},{"id":464927,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UL3LWN","text":"USGS data release","linkHelpText":"Geospatial datasets of seabed topography, sediment mobility, and the distribution of geologic substrates in quadrangle 2 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts"},{"id":465074,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_mapA.pdf","text":"Map A","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 Map A","linkHelpText":"- Sun-Illuminated Topography and Boulder Ridges"},{"id":465077,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_mapD1.pdf","text":"Map D, Sheet 1","size":"1.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 Map D1","linkHelpText":"- Distribution of Geologic Substrates: Seabed geology and station data types"},{"id":465076,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_mapC.pdf","text":"Map C","size":"22.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 Map C","linkHelpText":"- Backscatter Intensity and Sun-Illuminated Topography"},{"id":465075,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_mapB.pdf","text":"Map B","size":"1.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 Map B","linkHelpText":"- Seabed Ruggedness"},{"id":464926,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3530/images/"},{"id":464925,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3530/sim3530.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIM 3530 XML"},{"id":464924,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sim3530/full","text":"Pamphlet","linkFileType":{"id":5,"text":"html"},"description":"SIM 3530 HTML"},{"id":464923,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3530/sim3530_pamphlet.pdf","text":"Pamphlet","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3530 PDF"},{"id":464922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3530/coverthb2.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Stellwagen Bank National Marine Sanctuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.19346273969718,\n 42.097308493871026\n ],\n [\n -70.19346273969718,\n 42.21157101051443\n ],\n [\n -70.35655387736588,\n 42.21157101051443\n ],\n [\n -70.35655387736588,\n 42.097308493871026\n ],\n [\n -70.19346273969718,\n 42.097308493871026\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543–1598
Objective: Understanding angler responses to fisheries management actions such as regulation changes have important implications for the effectiveness and efficacy of such management strategies. We examined the ability of remote vehicle counters to provide a relative index of angler effort and present a case study demonstrating use of vehicle counters to assess potential changes in angler effort associated with implementation of more restrictive panfish regulations in a subset of Wisconsin lakes.
Methods: We compared vehicle counts with compulsory creel and game-camera based estimates of angler hours and number of angling parties. During 2016, a series of more restrictive panfish regulations were implemented across 132 Wisconsin lakes. We deployed vehicle counters at a subset of lakes within each regulation type during pre- (2015 and 2016) and post-regulation time periods (2021 and 2022) to assess whether the distribution of angler effort (as indexed using vehicle counters) among regulation types may have shifted in response to regulation implementation.
Result: At lakes with paired vehicle counters and compulsory creel data, vehicle counts explained 57-72% of variation in daily angler effort (h) and 65-85% of variation in daily number of angling parties. Across lakes with paired vehicle counters and game cameras, vehicle counters explained 77% of variation in the number of apparent angling parties; however, effectiveness of vehicle counters for explaining variation in number of apparent angling parties varied among lakes. Vehicle counters explained 63-74% of variation in number of apparent angling parties when considering paired vehicle counter-game camera observations pooled within regulation types. We did not observe any systematic shifts in effort indicative of redistribution of angler effort in response to panfish regulations.
Conclusion: Results suggest that, given appropriate validation measures, vehicle counters could be used as a cost-effective tool to index angler effort, particularly when interest lies in understanding effort dynamics over large spatial scales. Our findings suggest a localized scale for implementation of specialized regulations may be appropriate given angler behaviors and preferences for Wisconsin panfish.
","language":"English","publisher":"American Fisheries society","doi":"10.1002/nafm.11054","usgsCitation":"Dembkowski, D., Latzka, A., Feiner, Z., and Isermann, D.A., 2024, Use of vehicle counters to index and evaluate potential shifts in angler effort following implementation of more restrictive panfish regulations in Wisconsin lakes: North American Journal of Fisheries Management, v. 44, no. 6, p. 1342-1357, https://doi.org/10.1002/nafm.11054.","productDescription":"16 p.","startPage":"1342","endPage":"1357","ipdsId":"IP-163236","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Vilas County","otherGeospatial":"Escanaba Lake, Nebish Lake, Northern Highland Fishery Research Area","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.9879,46.0971],[-88.9329,46.0746],[-88.9332,45.9822],[-89.0478,45.9822],[-89.0477,45.8953],[-89.1091,45.8973],[-89.1752,45.8993],[-89.1754,45.859],[-89.3008,45.8606],[-89.3007,45.9014],[-89.3628,45.8987],[-89.4256,45.8987],[-89.5498,45.8988],[-89.6741,45.8987],[-89.7571,45.8985],[-89.797,45.898],[-89.8199,45.8984],[-89.9212,45.8981],[-89.9846,45.8974],[-90.0428,45.8972],[-90.0442,45.9823],[-90.0134,45.9824],[-89.9853,45.9821],[-89.9289,45.9818],[-89.9282,46.0693],[-89.9288,46.1558],[-89.9287,46.2428],[-89.929,46.3],[-89.7599,46.268],[-89.7368,46.2636],[-89.5829,46.2347],[-89.5331,46.2252],[-89.5133,46.2215],[-89.4272,46.2048],[-89.3759,46.1949],[-89.2666,46.1737],[-89.2302,46.1662],[-89.0854,46.1365],[-88.9879,46.0971]]]},\"properties\":{\"name\":\"Vilas\",\"state\":\"WI\"}}]}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Dembkowski, Daniel J.","contributorId":275009,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel J.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":923832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latzka, Alexander W.","contributorId":348855,"corporation":false,"usgs":false,"family":"Latzka","given":"Alexander W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":923833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feiner, Zachary S.","contributorId":348857,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary S.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":923834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923835,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261327,"text":"sir20245092 - 2024 - Desert Tortoise translocation plan for the U.S. Department of the Army National Training Center and Fort Irwin Western Training Area","interactions":[],"lastModifiedDate":"2025-08-15T16:35:47.148112","indexId":"sir20245092","displayToPublicDate":"2024-12-16T12:46:53","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5092","displayTitle":"Desert Tortoise Translocation Plan for the U.S. Department of the Army National Training Center and Fort Irwin Western Training Area","title":"Desert Tortoise translocation plan for the U.S. Department of the Army National Training Center and Fort Irwin Western Training Area","docAbstract":"The U.S. Department of the Army proposes to commence military activity at the Fort Irwin National Training Center within the Western Training Area (WTA) and to translocate Mojave Desert tortoises (Gopherus agassizii; hereafter tortoise) that will be affected to the Western Training Area Translocation Site (WTATS). This desert tortoise translocation plan provides a timeline of activities, actions for which permits may be required, and guidelines for assessing the short-term and long-term success of this desert tortoise translocation. Importantly, the monitoring projects described are designed to document the ultimate effects of the Army's translocation action (not just inform future translocations elsewhere). Results from the translocation, corresponding monitoring, and research projects will inform future translocations throughout the Mojave Desert for expanding human development. The plan has three main objectives: (1) provide guidelines to achieve a safe, humane, and successful translocation of tortoises from the WTA, with minimal effect to resident desert tortoises at sites where translocated animals are released (recipient sites); (2) study translocated, resident, and reference animals (tortoises living near translocation areas but whose home ranges do not overlap those of translocated or resident tortoises) to learn as much as possible about the ecology, conservation, and management of the desert tortoise; and (3) define best management practices for successful translocation and provide metrics to evaluate success over multiple time scales, which we identify for the short- and long-term.
The procedures to plan, implement, monitor, and study translocation of tortoises were written using terms and conditions outlined in the U.S. Fish and Wildlife Service Biological Opinion 2021 that described effects of the expansion of the military base boundary, as well as recommendations provided in the Desert Tortoise Recovery Plan (and 5-year review). We provide guidance on appropriate translocation timing and procedures, as well as on how tortoise ecology and habitat can best be studied to further knowledge on tortoise translocation. The plan provides analysis for landscape tortoise density and abundance estimates, suitable sites for translocation of tortoises, and short- and long-term metrics that are addressed and measured by specific monitoring and research projects that can be used to assess the success of translocation activities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245092","collaboration":"Prepared in cooperation with the U.S. Department of Defense, U.S. Army Garrison Fort Irwin, California","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Esque, T., Xiong, A., Doyle, S., Murphy, S., Wilhite, C., and Nussear, K., 2024, Desert Tortoise translocation plan for the U.S. Department of the Army National Training Center and Fort Irwin Western Training Area: U.S. Geological Survey Scientific Investigations Report 2024–5092, 94 p., https://doi.org/10.3133/sir20245092.","productDescription":"Report: x, 94 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-159450","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":494233,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118082.htm","linkFileType":{"id":5,"text":"html"}},{"id":465229,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245092/full"},{"id":464818,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5092/images"},{"id":464817,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5092/sir20245092.xml"},{"id":464815,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5092/covrthb.jpg"},{"id":464813,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93ZU0R9","text":"USGS Data Release","description":"Carr, N.B., and Leinwand, I.I.F., 2020, Terrestrial Development Index for the western United States—1-kilometer moving window: U.S. Geological Survey data release, https://doi.org/10.5066/P93ZU0R9.","linkHelpText":"Terrestrial Development Index for the western United States—1-kilometer moving window"},{"id":464816,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5092/sir20245092.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin Western Training Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.5,\n 35.5\n ],\n [\n -117.5,\n 34.75\n ],\n [\n -116.25,\n 34.75\n ],\n [\n -116.25,\n 35.5\n ],\n [\n -117.5,\n 35.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Climate change coupled with large-scale surface disturbances necessitate active restoration strategies to promote resilient and genetically diverse native plant communities. However, scarcity of native plant materials hinders restoration efforts, leading practitioners to choose from potentially viable but nonlocal seed sources. Genome scans for genetic variation linked with selective environmental gradients have become a useful tool in such efforts, allowing rapid delineation of seed transfer zones along with predictions of genomic vulnerability to climate change. When properly applied, genome scans can reduce the risk of maladaptation due to mismatches between seed source and planting site. However, results are rarely replicated among complimentary data sources. Here, we compared RAD-seq datasets with 819 and 2699 SNPs (in 625 and 356 individuals, respectively) from the Mojave Desert winter annual Chylismia brevipes. Overall, we found that the datasets consistently characterized both neutral population structure and genetic–environmental associations. Ancestry analyses indicated consistent spatial genetic structuring into four regional populations. We also detected a marked signal of isolation by resistance (IBR), wherein spatial genetic structure was better explained by habitat resistance than by geographic distance. Potentially adaptive loci identified from genome scans were associated with the same environmental gradients—fall precipitation, winter minimum temperature, and precipitation timing—regardless of dataset. Paired with our finding that habitat resistance best explained genetic divergence, our results suggest that isolation of populations within environmentally similar habitats—and subsequent local adaption along gradients parallel to these habitats—drive genome-wide divergence in this species. Moreover, strong genetic associations with winter precipitation timing, along with forecasted shifts in precipitation regime due to midcentury climate change, could impact future population dynamics, habitat distribution, and genetic connectivity for C. brevipes populations within the Mojave Desert.
","language":"English","publisher":"Wiley","doi":"10.1111/eva.70046","usgsCitation":"Shryock, D., Lê, N., DeFalco, L., and Esque, T., 2024, Concordant signal of genetic variation across marker densities in the desert annual Chylismia brevipes is linked with timing of winter precipitation: Conservation Genetics, v. 17, no. 12, e70046, 18 p., https://doi.org/10.1111/eva.70046.","productDescription":"e70046, 18 p.","ipdsId":"IP-159454","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.70046","text":"Publisher Index Page"},{"id":465575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.2859722224079,\n 38.02841230408214\n ],\n [\n -120.2859722224079,\n 33.84962249242069\n ],\n [\n -113.08194078286547,\n 33.84962249242069\n ],\n [\n -113.08194078286547,\n 38.02841230408214\n ],\n [\n -120.2859722224079,\n 38.02841230408214\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Shryock, Daniel F. 0000-0003-0330-9815 dshryock@usgs.gov","orcid":"https://orcid.org/0000-0003-0330-9815","contributorId":208659,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel F.","email":"dshryock@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lê, Nila","contributorId":347238,"corporation":false,"usgs":false,"family":"Lê","given":"Nila","affiliations":[{"id":83101,"text":"California Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":922100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":208658,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922102,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261686,"text":"70261686 - 2024 - Perfluorohexanesulfonic acid (PFHxS) induces hepatotoxicity through the PPAR signaling pathway in larval zebrafish (Danio rerio)","interactions":[],"lastModifiedDate":"2025-01-13T16:24:43.544311","indexId":"70261686","displayToPublicDate":"2024-12-16T10:55:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Perfluorohexanesulfonic acid (PFHxS) induces hepatotoxicity through the PPAR signaling pathway in larval zebrafish (Danio rerio)","title":"Perfluorohexanesulfonic acid (PFHxS) induces hepatotoxicity through the PPAR signaling pathway in larval zebrafish (Danio rerio)","docAbstract":"In recent years, the industrial substitution of long-chain per- and polyfluoroalkyl substances (PFAS) with short-chain alternatives has become increasingly prevalent, resulting in the widespread environmental detection of perfluorohexanesulfonic acid (PFHxS), a short-chain PFAS. However, there remains limited information about the potential adverse effects of PFHxS at environmental concentrations to wildlife. Here, early life stage zebrafish (Danio rerio) were exposed to environmentally relevant concentrations of PFHxS to better characterize the adverse effects of PFHxS on aquatic organisms. Nontargeted, transcriptomic analysis revealed potential hepatotoxic effects in exposed larvae, including macrovesicular and microvesicular hepatic steatosis, as well as focal liver necrosis. Morphological, histological, biochemical, and targeted transcript expression profiles further confirmed significant alterations in hepatocellular lesion numbers, liver pathological structures, relative liver size, liver biochemical parameters, and liver function genes. To validate the PPAR-mediated toxicological mechanism identified as an enriched pathway through in silico bioinformatics analysis, we tested the coexposure to an antagonist and PPAR morpholino knockdown. This intervention alleviated PFHxS-induced hepatic effects, including reductions in the levels of aspartate aminotransferase, alanine aminotransferase, total cholesterol, and total triglycerides. Our results demonstrate that environmentally relevant concentrations of PFHxS can impair liver development and function in fish, which could have potential risks to aquatic organisms.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c07056","usgsCitation":"Liao, H., He, Y., Zhang, S., Kang, X., Yang, X., Xu, B., Magnuson, J.T., Wang, S., Zheng, C., and Qiu, W., 2024, Perfluorohexanesulfonic acid (PFHxS) induces hepatotoxicity through the PPAR signaling pathway in larval zebrafish (Danio rerio): Environmental Science & Technology, v. 58, no. 52, p. 22894-22906, https://doi.org/10.1021/acs.est.4c07056.","productDescription":"13 p.","startPage":"22894","endPage":"22906","ipdsId":"IP-168048","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":465285,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"52","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Liao, Haolin","contributorId":340032,"corporation":false,"usgs":false,"family":"Liao","given":"Haolin","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":921422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Ying-Jie","contributorId":340031,"corporation":false,"usgs":false,"family":"He","given":"Ying-Jie","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":921423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Shuwen","contributorId":347339,"corporation":false,"usgs":false,"family":"Zhang","given":"Shuwen","email":"","affiliations":[{"id":83142,"text":"Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, Shenzhen, China","active":true,"usgs":false}],"preferred":false,"id":921424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kang, Xinyuan","contributorId":347340,"corporation":false,"usgs":false,"family":"Kang","given":"Xinyuan","email":"","affiliations":[{"id":83142,"text":"Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, Shenzhen, China","active":true,"usgs":false}],"preferred":false,"id":921425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Xin","contributorId":340070,"corporation":false,"usgs":false,"family":"Yang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":921426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Bentuo","contributorId":329839,"corporation":false,"usgs":false,"family":"Xu","given":"Bentuo","email":"","affiliations":[{"id":78729,"text":"Wenzhou University","active":true,"usgs":false}],"preferred":false,"id":921427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":921428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Shuping","contributorId":347341,"corporation":false,"usgs":false,"family":"Wang","given":"Shuping","email":"","affiliations":[{"id":83144,"text":"Chinese Research Academy of Environmental Sciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":921429,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zheng, Chunmiao","contributorId":214041,"corporation":false,"usgs":false,"family":"Zheng","given":"Chunmiao","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":921430,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Qiu, Wenhui","contributorId":334797,"corporation":false,"usgs":false,"family":"Qiu","given":"Wenhui","email":"","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":921431,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70262812,"text":"70262812 - 2024 - How, what, and where you sample environmental DNA affects diversity estimates and species detection","interactions":[],"lastModifiedDate":"2025-01-23T16:01:32.840937","indexId":"70262812","displayToPublicDate":"2024-12-16T09:50:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"How, what, and where you sample environmental DNA affects diversity estimates and species detection","docAbstract":"Environmental DNA (eDNA) is a complex mixture of DNA, varying in particle sizes and distributed heterogeneously in aquatic systems. Optimizing eDNA sampling is crucial for maximizing species detection, particularly in high-risk scenarios like invasive species management. In this study, we compare two eDNA sampling methods - namely tow net and grab sample, where the tow nets process large volumes of water (3500–7000 L) through a 64 μm pore size and the grab samples process 1 L sample at a single point through 0.45–1.2 μm pore size membranes. We compared these methods to ascertain what most influences (1) the detection of invasive species (Dreissena mussels and Burmese pythons) using qPCR or ddPCR and (2) total diversity monitoring of metazoan, protist, and fungi community using a COI marker and plant communities using the ITS marker. Sampling was conducted across a wide geography and diverse aquatic environments in Minnesota and Florida, USA, and Switzerland. The tow net samples had significantly higher eDNA yield compared to grab samples; however, they exhibited equal or lower alpha diversity of OTUs (Operational Taxonomic Units). The two sampling methods measured different beta diversity of communities detected with the COI marker across all three regions, highlighting the impact of the sampling method on the diversity of eDNA captured. In comparison, the beta diversity of plant eDNA was less impacted by the sampling method. We found no clear difference in detection for the invasive species targets based on the eDNA sampling method. These results underscore the need for pilot studies before conducting biodiversity inventory and monitoring, and a need for a greater understanding of not just how much, but also what, eDNA is captured depending on method choice, considering both spatial and particle size heterogeneity.
","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70042","usgsCitation":"Kirtane, A., Howard, L., Beaver, C., Hunter, M., Luikart, G., and Deiner, K., 2024, How, what, and where you sample environmental DNA affects diversity estimates and species detection: Environmental DNA, v. 6, no. 6, e70042, 18 p., https://doi.org/10.1002/edn3.70042.","productDescription":"e70042, 18 p.","ipdsId":"IP-164488","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":481043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70042","text":"Publisher Index Page"},{"id":480999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland, United States","state":"Florida, Minnesota","otherGeospatial":"Greater Everglades, Lake Bemidji, Lake Constance, Lake Hallwil, Wolf Lake","geographicExtents":"{\n \"type\": 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","language":"English","publisher":"South Dakota State University","usgsCitation":"Perkins, L., Symstad, A., Zavaleta-Cheek, J., Rohrer, E., and Ehlert, K., 2024, Northern Great Plains native seed strategy, 27 p.","productDescription":"27 p.","ipdsId":"IP-170770","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":465249,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://openprairie.sdstate.edu/nativeplant_news/6/"},{"id":465276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Montana, North Dakota, South Dakota, Wyoming","otherGeospatial":"Northern Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.89600749280534,\n 48.95669012895394\n ],\n [\n -110.00701022506142,\n 47.318500559121645\n ],\n [\n -107.89459357384864,\n 45.01649067418961\n ],\n [\n -105.58122725722289,\n 42.64666032525162\n ],\n [\n -103.77512636846386,\n 42.969903560300054\n ],\n [\n -98.24394876940691,\n 43.00915601967853\n ],\n [\n -96.57995429633301,\n 42.66516479070239\n ],\n [\n -96.46219456413773,\n 43.43226125596277\n ],\n [\n -95.37394352069838,\n 44.53220121284053\n ],\n [\n -96.10444507064126,\n 48.97226434619046\n ],\n [\n -112.89600749280534,\n 48.95669012895394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, Lora B.","contributorId":224968,"corporation":false,"usgs":false,"family":"Perkins","given":"Lora B.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":921391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Symstad, Amy 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":201095,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":921392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zavaleta-Cheek, Jennifer","contributorId":347331,"corporation":false,"usgs":false,"family":"Zavaleta-Cheek","given":"Jennifer","email":"","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":921393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohrer, Emily","contributorId":347333,"corporation":false,"usgs":false,"family":"Rohrer","given":"Emily","email":"","affiliations":[{"id":83137,"text":"USDA-NRCS, Rapid City, SD","active":true,"usgs":false}],"preferred":false,"id":921394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ehlert, Krista","contributorId":347334,"corporation":false,"usgs":false,"family":"Ehlert","given":"Krista","email":"","affiliations":[{"id":83139,"text":"South Dakota State University Extension, Rapid City, SD","active":true,"usgs":false}],"preferred":false,"id":921395,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261618,"text":"70261618 - 2024 - Antibodies to influenza A virus in Lesser (Aythya affinis) and Greater Scaup (Aythya marila) in the USA","interactions":[],"lastModifiedDate":"2024-12-17T15:50:15.832349","indexId":"70261618","displayToPublicDate":"2024-12-16T09:39:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Antibodies to influenza A virus in Lesser (Aythya affinis) and Greater Scaup (Aythya marila) in the USA","title":"Antibodies to influenza A virus in Lesser (Aythya affinis) and Greater Scaup (Aythya marila) in the USA","docAbstract":"Scaup, including both Lesser and Greater (Aythya affinis and Aythya marila, respectively), are a grouping of populous and widespread North American diving ducks. Few influenza type A viruses (IAV) have been reported from these species despite a high prevalence of antibodies to IAV being reported. Existing virologic and serologic data indicate that IAV infection routinely occurs in scaup, yet it is unknown which IAV subtypes are linked to these infections. In this study, we aimed to gain a more complete picture of IAV natural history in Lesser and Greater Scaup from two coastal flyways in North America in 2015–18 (302 samples from California in the Pacific Flyway and 471 samples from Maryland in the Atlantic Flyway). Low prevalence of active IAV infection was detected by real-time reverse-transcription PCR in Lesser Scaup sampled in Maryland and California (2.8% and 8.1%, respectively). A single IAV (H1N1) was isolated in embryonated chicken eggs from a bird sampled in California. Similarly low levels were observed in Greater Scaup in California (3.3%). Antibodies to the nucleoprotein as detected with a commercial blocking ELISA were observed in all species and flyway combinations. Antibody seroprevalence estimates were higher in adult Lesser Scaup than in juveniles at both the ≤0.5 (P<0.001, z=–3.582) and ≤0.7 serum-sample-to-negative-control absorbance thresholds (P=0.003, z=–2.996). Neutralizing antibodies to H1–H12, H14, and H15 were detected using a microtiter virus neutralization assay, with the highest prevalence of antibodies against H1 (38%), H6 (36%), and H11 (35%). The high prevalence of antibodies to IAV and evidence of previous exposure to numerous subtypes are consistent with a high level of population immunity and a low prevalence of infection. These results must be interpreted in the context of season (winter sampling), as results may vary with the annual influx of naïve juvenile birds.
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near Independence, Ohio, 2024","interactions":[],"lastModifiedDate":"2024-12-16T14:39:31.386387","indexId":"sir20245122","displayToPublicDate":"2024-12-16T08:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5122","displayTitle":"Flood-Inundation Maps for the Cuyahoga River in and Near Independence, Ohio, 2024","title":"Flood-inundation maps for the Cuyahoga River in and near Independence, Ohio, 2024","docAbstract":"Digital flood-inundation maps for a 9.9-mile reach of the Cuyahoga River in and near Independence, Ohio, were created by the U.S. Geological Survey (USGS) in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees. Water-surface profiles were computed for the stream reach by using a one-dimensional steady-state step-backwater model. The model was calibrated to the current (2024) stage-streamflow relation (rating curve 43.0) for the USGS streamgage 04208000, Cuyahoga River at Independence, Ohio. The resulting hydraulic model was then used to compute 13 water-surface profiles for water levels (flood stages) ranging from 14.00 to 26.00 feet. The flood stages range from “action stage” to above “major flood stage” as reported by the National Weather Service. The simulated water-surface profiles were then used in combination with a digital elevation model derived from light detection and ranging data to map the inundated areas associated with each flood profile.
The flood-inundation maps and the supporting hydraulic model produced by this study can be used by emergency managers and local officials to assess flood mitigation strategies and to define flood hazard areas to protect life and property, to coordinate flood response activities such as evacuations and road closures, and to aid postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245122","collaboration":"Prepared in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees","usgsCitation":"Ostheimer, C.J., and Whitehead, M.T., 2024, Flood-inundation maps for the Cuyahoga River in and near Independence, Ohio, 2024: U.S. Geological Survey Scientific Investigations Report 2024–5122, 16 p., https://doi.org/10.3133/sir20245122.","productDescription":"Report: vi, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158401","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":464970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5122/coverthb.jpg"},{"id":464971,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5122/sir20245122.pdf","text":"Report","size":"1.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5122 PDF"},{"id":464972,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245122/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5122 HTML"},{"id":464976,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20245115","text":"Scientific Investigations Report 2024–5115","linkHelpText":"Flood-Inundation Maps for the Cuyahoga River at Jaite, Ohio, 2024"},{"id":464973,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5122/sir20245122.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5122 XML"},{"id":464974,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5122/images/"},{"id":464975,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZFZK0L","text":"USGS data release","linkHelpText":"Geospatial data sets and hydraulic model for the Cuyahoga River in and near the city of Independence, Ohio"}],"country":"United States","state":"Ohio","city":"Independence","otherGeospatial":"Cuyahoga River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.7238278506537,\n 41.48\n ],\n [\n -81.7238278506537,\n 41.373775959357204\n ],\n [\n -81.61067566475016,\n 41.373775959357204\n ],\n [\n -81.61067566475016,\n 41.48\n ],\n [\n -81.7238278506537,\n 41.48\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Blvd, Suite 100
Columbus, OH 43229
Objective
Growth is one of the primary drivers of fish population dynamics and understanding factors influencing growth is vital to effective management of fish populations. This study investigated potential factors influencing growth of a recently established, non-native population of Walleye Sander vitreus in the Lake Pend Oreille system in northern Idaho.
Methods
We used relative growth index to describe growth of Walleyes relative to populations across North America. Mixed‐effects modeling was used to relate growth to abiotic (i.e., mean summer water temperature, river inflow) and biotic (i.e., kokanee Oncorhynchus nerka abundance and biomass; opossum shrimp Mysis diluviana density) variables. Models were ranked using Akaike's information criterion corrected for small sample size. Individual variability in growth was related to diet represented by stable isotopes (i.e., δ15N, δ13C) using linear regression for age‐1, age‐2, age‐3, and age‐5 individuals. Subsequently, for each age‐class, we evaluated differences in δ15N and δ13C between fast‐growing (i.e., 75th and higher percentiles of growth) and slow‐growing (i.e., 25th and lower percentiles of growth) individuals.
Results
The relative growth index suggested that Walleye grew fast relative to other populations, particularly those at similar latitudes to the Lake Pend Oreille system. Mixed-effects regression modeling indicated that growth of Walleyes was positively associated with temperature as well as abundance and biomass of kokanee; growth was negatively associated with inflow from the Clark Fork River and Mysis diluviana density. The top model explaining growth of Walleyes contained temperature and abundance of kokanee as environmental variables. The second equally plausible (i.e., within 2 AICc) model contained temperature. Growth of Walleyes varied among individuals. Generally, fast-growing Walleyes had higher δ15N than slow-growing Walleyes. Similarly, δ13C was more depleted in the fast-growing individuals for all age classes, except age 1, suggesting that age-1 individuals used higher proportions of littoral prey items compared to other age classes.
Conclusion
This study showed that kokanee abundance and temperature appeared to be important factors influencing growth of Walleyes in the Lake Pend Oreille system. Additionally, variability in growth appeared to be related to variability in diet, particularly for age-1 Walleyes. Impact statement Growth of Walleyes has been extensively studied, yet few studies have evaluated growth of Walleyes in novel systems or assessed individual variability in growth. Our research adds to the understanding of individual variability in growth and factors influencing population dynamics of non-native Walleyes.
","language":"English","publisher":"Oxford Academic","doi":"10.1002/nafm.11056","collaboration":"Idaho Department of Fish and Game","usgsCitation":"Frawley, S., Corsi, M., Dux, A.M., Hardy, R.S., and Quist, M.C., 2024, Abiotic and biotic factors related to growth of non-native Walleyes in Lake Pend Oreille, Idaho: North American Journal of Fisheries Management, v. 44, no. 6, p. 1325-1341, https://doi.org/10.1002/nafm.11056.","productDescription":"17 p.","startPage":"1325","endPage":"1341","ipdsId":"IP-163539","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.79187320079157,\n 48.33908577891279\n ],\n [\n -116.79187320079157,\n 47.933452975307574\n ],\n [\n -116.12337645556701,\n 47.933452975307574\n ],\n [\n -116.12337645556701,\n 48.33908577891279\n ],\n [\n -116.79187320079157,\n 48.33908577891279\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Frawley, Susan","contributorId":354288,"corporation":false,"usgs":false,"family":"Frawley","given":"Susan","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Matthew P.","contributorId":171811,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew P.","affiliations":[],"preferred":false,"id":935347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":935348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":935349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261643,"text":"70261643 - 2024 - Controls on lake pelagic primary productivity: Formalizing the nutrient-color paradigm","interactions":[],"lastModifiedDate":"2024-12-18T14:16:18.362641","indexId":"70261643","displayToPublicDate":"2024-12-15T12:08:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Controls on lake pelagic primary productivity: Formalizing the nutrient-color paradigm","docAbstract":"Understanding controls on primary productivity is essential for describing ecosystems and their responses to environmental change. Lake primary production is strongly controlled by inputs of nutrients and colored dissolved organic matter. While past studies have developed mathematical models of this nutrient-color paradigm, broad empirical tests of these models are scarce. We used data from 58 diverse and globally distributed temperate lakes to test such a model and improve understanding and prediction of the controls on lake primary production. These lakes varied widely in size (0.02-2300 km2), pelagic gross primary production (20-8000 mg C m-2 d-1), and other characteristics. Across these diverse systems, and given relatively limited inputs, model predictions of primary production were highly correlated with observed values derived from high-frequency sensor data. Our analysis provides a model structure, including calibrated parameter estimates, that may be broadly useful for understanding current and future patterns in lake primary production.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008140","usgsCitation":"Oleksy, I., Solomon, C.T., Jones, S.E., Olson, C., Bertolet, B., Adrian, R., Bansal, S., Baron, J., Brothers, S., Chandra, S., Chou, H., Colom-Montero, W., Culpeper, J., de Eyto, E., Farragher, M., Hilt, S., Holeck, K.T., Kazanjian, G., Klaus, M., Klug, J., Kohler, J., Laas, A., Lundin, E., Parkes, A., Rose, K.C., Rustam, L., Rusak, J.A., Scordo, F., Vanni, M.J., Verburg, P., and Weyhenmeyer, G.A., 2024, Controls on lake pelagic primary productivity: Formalizing the nutrient-color paradigm: JGR Biogeosciences, v. 129, no. 12, e2024JG008140, 15 p., https://doi.org/10.1029/2024JG008140.","productDescription":"e2024JG008140, 15 p.","ipdsId":"IP-154658","costCenters":[{"id":291,"text":"Fort Collins 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A.","contributorId":150314,"corporation":false,"usgs":false,"family":"Weyhenmeyer","given":"Gesa","email":"","middleInitial":"A.","affiliations":[{"id":17988,"text":"Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":921283,"contributorType":{"id":1,"text":"Authors"},"rank":31}]}} ,{"id":70262437,"text":"70262437 - 2024 - Detection of tick-borne pathogen coinfections and coexposures to foot-and-mouth disease, brucellosis, and Q fever in selected wildlife from Kruger National Park, South Africa, and Etosha National Park, Namibia","interactions":[],"lastModifiedDate":"2025-01-24T14:13:19.130902","indexId":"70262437","displayToPublicDate":"2024-12-15T11:41:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Detection of tick-borne pathogen coinfections and coexposures to foot-and-mouth disease, brucellosis, and Q fever in selected wildlife from Kruger National Park, South Africa, and Etosha National Park, Namibia","docAbstract":"Background: Although the rate of emerging infectious diseases that originate in wildlife has been increasing globally in recent decades, there is currently a lack of epidemiological data from wild animals.
Methodology: We used serology to determine prior exposure to foot-and-mouth disease virus (FMDV), Brucella spp., and Coxiella burnetii and used genetic testing to detect blood-borne parasitic infections in the genera Ehrlichia, Anaplasma, Theileria, and Babesia from wildlife in two national parks, Kruger National Park (KNP), South Africa, and Etosha National Park (ENP), Namibia. Serum and whole blood samples were obtained from free-roaming plains zebra (Equus quagga), greater kudu (Tragelaphus strepsiceros), impala (Aepyceros melampus), and blue wildebeest (Connochaetes taurinus). Risk factors (host species, sex, and sampling park) for infection with each pathogen were assessed, as well as the prevalence and distribution of co-occurring infections.
Results: In KNP 13/29 (45%; confidence interval [CI]: 26%–64%) kudus tested positive for FMD, but none of these reacted to SAT serotypes. For brucellosis, seropositive results were obtained for 3/29 (10%; CI: 2%–27%) kudu samples. Antibodies against C. burnetii were detected in 6/29 (21%; CI: 8%–40%) kudus, 14/21 (67%; CI: 43%–85%) impalas, and 18/39 (46%; CI: 30%–63%) zebras. A total of 28/28 kudus tested positive for Theileria spp. (100%; CI: 88%–100%) and 27/28 for Anaplasma/Ehrlichia spp. (96%; CI: 82%–100%), whereas 12/19 impalas (63%) and 2/39 zebra (5%) tested positive for Anaplasma centrale. In ENP, only 1/29 (3%; CI: 0%–18%) wildebeest samples tested positive for FMD. None of the samples tested positive for brucellosis, while C. burnetii antibodies were detected in 26/30 wildebeests (87%; CI: 69%–96%), 16/40 kudus (40%; CI: 25%–57%), and 26/26 plains zebras (100%; CI: 87%–100%). A total of 60% Anaplasma/Ehrlichia spp. and 35% Theileria/Babesia spp. in kudu and 37% wildebeest tested positive to Theileria sp. (sable), 30% to Babesia occultans, and 3%–7% to Anaplasma spp. The seroprevalence of Q fever was significantly higher in ENP, while Brucella spp., Anaplasma, Ehrlichia, Theileria, and Babesia species were significantly higher in KNP. Significant coinfections were also identified.
Conclusion: This work provided baseline serological and molecular data on 40+ pathogens in four wildlife species from two national parks in southern Africa.
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Knowledge of the occurrence and behavior of natural hydrogen on Earth has been combined with information from geologic analogs to construct a mass balance model to predict the resource potential. Given the associated uncertainty, stochastic model results predict a wide range of values for the potential in-place hydrogen resource [103 to 1010 million metric tons (Mt)] with the most probable value of ~5.6 × 106 Mt. Although most of this hydrogen is likely to be impractical to recover, a small fraction (e.g., 1 × 105 Mt) would supply the projected hydrogen needed to reach net-zero carbon emissions for ~200 years. This amount of hydrogen contains more energy (~1.4 × 1016 MJ) than all proven natural gas reserves on Earth (~8.4 × 1015 MJ). Study results demonstrate that further research into understanding the potential for geologic hydrogen resources is merited.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.ado0955","usgsCitation":"Ellis, G.S., and Gelman, S.E., 2024, Model predictions of global geologic hydrogen resources: Science Advances, v. 10, no. 50, eado0955, 11 p., https://doi.org/10.1126/sciadv.ado0955.","productDescription":"eado0955, 11 p.","ipdsId":"IP-158355","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":481046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.ado0955","text":"Publisher Index Page"},{"id":480846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"50","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":924399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":924400,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70261448,"text":"ofr20241075 - 2024 - Agricultural return flow dynamics on a reach of the East River, Colorado, as assessed by mass balance","interactions":[],"lastModifiedDate":"2025-08-15T16:39:49.285805","indexId":"ofr20241075","displayToPublicDate":"2024-12-12T11:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1075","displayTitle":"Agricultural Return Flow Dynamics on a Reach of the East River, Colorado, as Assessed by Mass Balance","title":"Agricultural return flow dynamics on a reach of the East River, Colorado, as assessed by mass balance","docAbstract":"The U.S. Geological Survey, in cooperation with the Upper Gunnison River Water Conservancy District, studied historical streamflow in a reach of the East River, Colorado, to gain a preliminary understanding of return flow dynamics. Return flow is agricultural irrigation water that is not consumed by evapotranspiration and instead reaches streams by surface and subsurface flow paths. The study reach had a contributing area of 50 square miles and contained 5.23 square miles of pastures irrigated with water diverted from the East River and its tributaries. By comparing upstream inflows to downstream outflows, the net water balance of the study reach from 1994 to 2023 was assessed.
Two general hydrologic conditions for the study reach were identified. One hydrologic condition was characterized by a net loss or consumption of water, termed here as general deficit. This general deficit condition extended about 16 years, from 1997 to 2012. During general deficit years, there was usually a notable net loss of streamflow from April through July, and a small net gain, possibly related to return flows, occurred in August about 75 days after the minimums for losses. The second hydrologic condition was characterized by a net gain of water, termed here as general surplus. This second condition extended about 10 years, from 2014 to 2023. During general surplus years, two separate transitions from net loss to net gain commonly occurred during June through August. Losses during general surplus years were smaller than losses during general deficit years, the respective gains were larger, and times between losses and gains were about 18 and 22 days.
Differences between the two hydrologic conditions could reflect interactions among irrigation water, available capacity to store additional shallow groundwater, and streamflow. However, deciphering the causes for the shifts between the two general hydrologic conditions was beyond the scope of this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241075","collaboration":"Prepared in cooperation with Upper Gunnison River Water Conservancy District","usgsCitation":"Bern, C.R., and Gidley, R.G., 2024, Agricultural return flow dynamics on a reach of the East River, Colorado, as assessed by mass balance: U.S. Geological Survey Open-File Report 2024–1075, 10 p., https://doi.org/10.3133/ofr20241075.","productDescription":"Report: iv, 10 p.; Database","onlineOnly":"Y","ipdsId":"IP-170543","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":494235,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118077.htm","linkFileType":{"id":5,"text":"html"}},{"id":465116,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241075/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1075"},{"id":465073,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1075/ofr20241075.xml"},{"id":465072,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1075/images"},{"id":464952,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1075/ofr20241075.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1075"},{"id":464954,"rank":3,"type":{"id":9,"text":"Database"},"url":"http://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database, accessed June 15, 2024"},{"id":464951,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1075/coverthb.jpg"}],"country":"United states","state":"Colorado","otherGeospatial":"East River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.966667,\n 38.8333\n ],\n [\n -106.966667,\n 38.6333\n ],\n [\n -106.766667,\n 38.6333\n ],\n [\n -106.766667,\n 38.8333\n ],\n [\n -106.966667,\n 38.8333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
In 2017, we began a 5-year mark–recapture study to estimate apparent survival of Walleye Sander vitreus and angler exploitation in Lake Sharpe, South Dakota, and inform management strategies for this fishery. The study revealed substantial downstream emigration of Walleye; therefore, we also examined the influence of emigration on apparent mortality.
We estimated Walleye apparent survival using the Seber parameterization of the dead recovery model. In our models, we included factors influencing voluntary fish release, as well as harvest restrictions, tagging location, and year. We used a multistate Markov model to estimate emigration in relation to Walleye total length, sex, and tagging location, as well as annual reservoir discharge. The exploitation and emigration estimates informed our interpretations of annual Walleye apparent survival.
Apparent survival patterns were explained by an interaction between Walleye length and a minimum harvest length restriction. Apparent survival was lower during July and August, when the minimum harvest length limit was suspended, and results suggest that anglers were willing to release preferred sizes (≥508 mm) when able to harvest smaller (<381 mm) Walleye. Annual apparent survival, exploitation, and emigration estimates ranged between 15% and 47%, 8% and 25%, and 11% and 28%, respectively. Emigration was influenced by tagging location and annual discharge: increasing with proximity to Big Bend dam and during high annual flows. Although years with high exploitation or emigration corresponded to years with low apparent survival, estimates did not explain the magnitude of mortality or emigration indicated by survival models.
Our results revealed that harvest–release decisions by Walleye anglers in Lake Sharpe are primarily influenced by regulations, although exploitation was not a significant source of mortality. Annual patterns in apparent survival indicate high mortality or emigration. Continued investigations into immigration and emigration and sources of mortality of Lake Sharpe Walleye are warranted to better inform management strategies for the fishery.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.11062","usgsCitation":"Sacco, L., Fincel, M., Goble, C., Davis, T., and Chipps, S.R., 2024, Effects of exploitation and emigration on apparent survival of Walleye in Lake Sharpe, South Dakota: North American Journal of Fisheries Management, v. 44, no. 6, p. 1476-1488, https://doi.org/10.1002/nafm.11062.","productDescription":"13 p.","startPage":"1476","endPage":"1488","ipdsId":"IP-164462","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Lake Sharpe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.41153996325842,\n 43.9674070613043\n ],\n [\n -99.32356353814174,\n 44.129014653643964\n ],\n [\n -99.70482491930754,\n 44.269188072036656\n ],\n [\n -100.31093666510779,\n 44.38108649572871\n ],\n [\n -100.36959106966292,\n 44.31117145363751\n ],\n [\n -100.0274333861817,\n 44.16408728385727\n ],\n [\n -99.9296748431607,\n 44.06582609926022\n ],\n [\n -99.60706175871532,\n 44.044754224429255\n ],\n [\n -99.41153996325842,\n 43.9674070613043\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Sacco, Laurel H.","contributorId":348515,"corporation":false,"usgs":false,"family":"Sacco","given":"Laurel H.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":923505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fincel, Mark J.","contributorId":348516,"corporation":false,"usgs":false,"family":"Fincel","given":"Mark J.","affiliations":[{"id":83369,"text":"South Dakota Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":923506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goble, Cameron W.","contributorId":348517,"corporation":false,"usgs":false,"family":"Goble","given":"Cameron W.","affiliations":[{"id":83369,"text":"South Dakota Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":923507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Tanner","contributorId":348518,"corporation":false,"usgs":false,"family":"Davis","given":"Tanner","affiliations":[{"id":83369,"text":"South Dakota Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":923508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923509,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70265979,"text":"70265979 - 2024 - Presence-absence surveys yield spatially imprecise information about nesting sites of an endangered, forest-nesting seabird","interactions":[],"lastModifiedDate":"2025-04-22T15:39:50.491324","indexId":"70265979","displayToPublicDate":"2024-12-12T10:33:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Presence-absence surveys yield spatially imprecise information about nesting sites of an endangered, forest-nesting seabird","docAbstract":"Presence-absence surveys are frequently used to monitor populations of rare and elusive species. Such data may also be used as a proxy for breeding activity, but links between presence-absence data and higher-order processes must be validated to determine their reliability. The Marbled Murrelet (Brachyramphus marmoratus) is a threatened seabird that nests in older-aged forests along the Pacific Coast. Its nests are exceptionally difficult to find, so we tested whether presence-absence surveys can help identify nesting sites. Between 2018 and 2022 we located 17 trees containing active murrelet nests in the Oregon Coast Range (USA) and 38 trees that purportedly contained no active nests (26 in occupied murrelet stands and 12 in unoccupied stands). Observers surveyed within 200 m of focal trees using standard presence-absence surveys, and we modeled the effects of site status (active nest or control) and distance from the focal tree on probability of recording murrelets. We never detected murrelets in unoccupied control sites. We found some evidence that the probability of recording presence was higher at active nesting sites (0.81, 95% CI: 0.71, 0.88) than at occupied control sites (0.71, 95% CI: 0.64, 0.78) although a null model had similar support. The probability of recording murrelet breeding behaviors in nesting and occupied control sites was 0.20 (95% CI: 0.14, 0.27) regardless of distance to a known active nest. These results suggest that presence-absence surveys may be useful for identifying plausible murrelet nesting habitat, but they are ineffective for identifying active nesting sites. Moreover, we estimated that 20 repeated surveys at a point in space are required to reasonably conclude there are no active nesting sites within 200 m. These findings serve as an important reminder of the limitations that can come with relying on presence-absence data alone to identify breeding sites.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0315531","usgsCitation":"Spurgeon, J.J., Adrean, L., Nelson, S., Betts, M., Roby, D., and Rivers, J., 2024, Presence-absence surveys yield spatially imprecise information about nesting sites of an endangered, forest-nesting seabird: PLoS ONE, v. 19, no. 12, e0315531, 13 p., https://doi.org/10.1371/journal.pone.0315531.","productDescription":"e0315531, 13 p.","ipdsId":"IP-167025","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0315531","text":"Publisher Index Page"},{"id":484839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.5,\n 45.6\n ],\n [\n -124.1,\n 45.6\n ],\n [\n -124.1,\n 43.9\n ],\n [\n -123.5,\n 43.9\n ],\n [\n -123.5,\n 45.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adrean, Lindsay J.","contributorId":353648,"corporation":false,"usgs":false,"family":"Adrean","given":"Lindsay J.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":934231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, S. Kim","contributorId":353649,"corporation":false,"usgs":false,"family":"Nelson","given":"S. Kim","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":934232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betts, Matthew G.","contributorId":353650,"corporation":false,"usgs":false,"family":"Betts","given":"Matthew G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":934233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roby, Daniel D.","contributorId":353651,"corporation":false,"usgs":false,"family":"Roby","given":"Daniel D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":934234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rivers, James W.","contributorId":353652,"corporation":false,"usgs":false,"family":"Rivers","given":"James W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":934235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261672,"text":"70261672 - 2024 - Ungulate personality and the human shield contribute to long-distance migration loss","interactions":[{"subject":{"id":70261672,"text":"70261672 - 2024 - Ungulate personality and the human shield contribute to long-distance migration loss","indexId":"70261672","publicationYear":"2024","noYear":false,"title":"Ungulate personality and the human shield contribute to long-distance migration loss"},"predicate":"SUPERSEDED_BY","object":{"id":70269975,"text":"70269975 - 2025 - Elk personality and anthropogenic food subsidy: Managing conflict and migration loss","indexId":"70269975","publicationYear":"2025","noYear":false,"title":"Elk personality and anthropogenic food subsidy: Managing conflict and migration loss"},"id":1}],"supersededBy":{"id":70269975,"text":"70269975 - 2025 - Elk personality and anthropogenic food subsidy: Managing conflict and migration loss","indexId":"70269975","publicationYear":"2025","noYear":false,"title":"Elk personality and anthropogenic food subsidy: Managing conflict and migration loss"},"lastModifiedDate":"2025-08-19T15:36:16.359859","indexId":"70261672","displayToPublicDate":"2024-12-12T09:25:07","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Ungulate personality and the human shield contribute to long-distance migration loss","docAbstract":"Long-distance ungulate migrations are declining and past research has focused on preserving migration paths where habitat fragmentation and loss disrupts movement corridors. However, changing residency-migration tradeoffs are the stronger driver of long-distance migration loss in some populations. The human shield effect relative to predation risk and anthropogenic food resources likely shapes these tradeoffs, but individual animals also vary in their propensity to tolerate proximity to humans and developed areas. We investigated how personality relative to human-habituation affects migration behavior. We categorized elk as bold or shy based on use of anthropogenic food resources identified through a clustering algorithm applied to GPS collar data. Bold elk were 4 times more likely to select wintering areas close to human activity and migrated 60% shorter distances compared to shy elk. As a result, elk wintering grounds were spatially structured such that conflict- and disease-prone individuals selected areas adjacent to human activity. Our results suggest that bold personality traits act as a precursor to human-habituation, which permits bold elk to reap the forage and predation rewards that occur in suburban landscapes. A multi-pronged approach beyond just maintaining habitat corridors may be necessary to conserve long-distance migrations for species that can become human-habituated.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2024.12.10.627781","usgsCitation":"Cotterill, G.G., Cross, P., Cole, E.K., Dewey, S., Wise, B.L., and Graves, T., 2024, Ungulate personality and the human shield contribute to long-distance migration loss: BioRxiv, https://doi.org/10.1101/2024.12.10.627781.","productDescription":"29 p.","ipdsId":"IP-173154","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":465269,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466718,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2024.12.10.627781","text":"External Repository"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Eric K 0000-0002-2229-5853","orcid":"https://orcid.org/0000-0002-2229-5853","contributorId":248406,"corporation":false,"usgs":false,"family":"Cole","given":"Eric","email":"","middleInitial":"K","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":921383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewey, Sarah R.","contributorId":342391,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wise, Benjamin L.","contributorId":347330,"corporation":false,"usgs":false,"family":"Wise","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":83136,"text":"Wyoming Game & Fish Department","active":true,"usgs":false}],"preferred":false,"id":921385,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921386,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70265038,"text":"70265038 - 2024 - A multidisciplinary approach that considers occurrence, geochemistry, bioavailability, and toxicity to prioritize critical minerals for environmental research","interactions":[],"lastModifiedDate":"2025-03-31T14:20:59.282076","indexId":"70265038","displayToPublicDate":"2024-12-12T09:17:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A multidisciplinary approach that considers occurrence, geochemistry, bioavailability, and toxicity to prioritize critical minerals for environmental research","docAbstract":"Critical minerals (or critical elements) are minerals or elements that are essential to global security and development and have supply chains vulnerable to disruption. In general, knowledge of the environmental behavior and health effects of critical elements is needed to support the development of safe and environmentally responsible supplies. This knowledge includes identifying potential consequences of increased critical element production and use, alternative critical element sources such as mine wastes, and adverse effects of critical elements on ecosystem condition and organismal health. Here we identify significant data gaps in the understanding of critical elements in surficial and aquatic environments, and the need, given the large number of commodities (50) identified on the 2022 critical minerals list for the United States, for an approach to prioritize them for study of their environmental fate and effects. We propose a multidisciplinary approach for this prioritization, considering measures of occurrence, geochemistry, bioavailability, and toxicity. We describe relatively easy-to-obtain metrics for each of these topic areas and demonstrate the utility of this integrated prioritization approach using indium and zinc as examples. This approach facilitates prioritizing research with a focus on those critical elements that are most mobile in the environment, bioavailable, toxic, or simply lacking data in these categories.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c11211","usgsCitation":"White, S.J., Kane, T., Campbell, K.M., Croteau, M.N., Iacchetta, M.G., Blake, J., Cravotta, C., Kunz, B.K., Alpers, C.N., Jenkins, J., and Walton-Day, K., 2024, A multidisciplinary approach that considers occurrence, geochemistry, bioavailability, and toxicity to prioritize critical minerals for environmental research: Environmental Science & Technology, v. 58, no. 51, p. 22519-22527, https://doi.org/10.1021/acs.est.4c11211.","productDescription":"9 p.","startPage":"22519","endPage":"22527","ipdsId":"IP-159036","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":488921,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c11211","text":"Publisher Index Page"},{"id":484016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"51","noUsgsAuthors":false,"publicationDate":"2024-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Sarah Jane 0000-0002-4055-8207","orcid":"https://orcid.org/0000-0002-4055-8207","contributorId":216796,"corporation":false,"usgs":true,"family":"White","given":"Sarah","email":"","middleInitial":"Jane","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":932371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kane, Tyler 0000-0003-2511-7312 tkane@usgs.gov","orcid":"https://orcid.org/0000-0003-2511-7312","contributorId":195588,"corporation":false,"usgs":true,"family":"Kane","given":"Tyler","email":"tkane@usgs.gov","affiliations":[],"preferred":true,"id":932372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":932373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":932374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iacchetta, Michael G. 0000-0001-9459-1435","orcid":"https://orcid.org/0000-0001-9459-1435","contributorId":291394,"corporation":false,"usgs":true,"family":"Iacchetta","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":932375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932376,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":338312,"corporation":false,"usgs":false,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":81112,"text":"Cravotta Geochemical Consulting","active":true,"usgs":false}],"preferred":false,"id":932377,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kunz, Bethany K. 0000-0002-7193-9336 bkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-7193-9336","contributorId":3798,"corporation":false,"usgs":true,"family":"Kunz","given":"Bethany","email":"bkunz@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":932378,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932379,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jenkins, Jill 0000-0002-5087-0894","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":222865,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932380,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":336569,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932381,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70263703,"text":"70263703 - 2024 - Seasonal resource selection of a grassland bird in a dynamic landscape: Importance of a heterogeneous landscape","interactions":[],"lastModifiedDate":"2025-02-20T15:13:14.298854","indexId":"70263703","displayToPublicDate":"2024-12-12T09:00:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal resource selection of a grassland bird in a dynamic landscape: Importance of a heterogeneous landscape","docAbstract":"Habitat loss and fragmentation are a growing threat to wildlife, and a better understanding of these landscape processes is needed to mitigate their effects on species populations. Grassland biomes are among the most imperiled ecosystems in the world, and grassland birds are experiencing significant population declines in North America. Understanding how species respond to differences in resource availabilities across spatiotemporal extents is critical to determining animals' distributions. Here, we investigated the relationship of landscape attributes to spatiotemporal distribution of a grassland bird, the ring-necked pheasant (Phasianus colchicus), which has experienced population declines in the Midwest, USA. Pheasant declines have been attributed to two anthropogenic stressors, land use change and climate change. In this study, we evaluated the effect of landscape attributes (composition and configuration) on the home-range size and resource selection of pheasants. We used a 95% fixed kernel estimator to estimate home-range size and identified scales at which landscape features influenced home-range sizes. We quantified landscape features within radii of 250, 500, and 1000 m (i.e., local to broader spatial scales) from the home-range center. We also used resource selection functions to predict the home-range placement (second order) and resource selection within home ranges (third order) of pheasants during winter, pre-nesting, and nesting seasons. We developed multi-scale predictions of pheasant resource selection and identified wetlands, grasslands, Conservation Reserve Program (CRP) grasslands, and small grains as land cover types used by pheasants to fulfill their life requirements. Our results indicated home ranges were more likely to be in a landscape with more CRP, wetlands, and grasslands; more connected grasslands; and a greater number of grassland patches. Pheasants also selected heterogeneous landscape and avoided row crops at both orders of selection. Maintaining habitat heterogeneity, by managing landscapes composed of a high proportion of grasslands and CRP surrounded by small grains and wetlands, could enhance the benefits of local management practices for pheasants. Collectively, insights obtained from our study can advance habitat conservation efforts for similar grassland birds and consequently are of broad utility to biologists and wildlife managers.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.70108","usgsCitation":"Harsh, S., Lonsinger, R.C., Kauth, H., and Gregory, A., 2024, Seasonal resource selection of a grassland bird in a dynamic landscape: Importance of a heterogeneous landscape: Ecosphere, v. 15, no. 12, e70108, 18 p., https://doi.org/10.1002/ecs2.70108.","productDescription":"e70108, 18 p.","ipdsId":"IP-149845","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70108","text":"Publisher Index Page"},{"id":482263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Beadle County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":2360,\"properties\":{\"name\":\"Beadle\",\"state\":\"SD\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.7069,44.6348],[-98.4483,44.6325],[-97.9766,44.6321],[-97.8554,44.6312],[-97.8555,44.5454],[-97.853,44.5453],[-97.8506,44.1964],[-98.332,44.1974],[-98.3365,44.1975],[-98.7012,44.1979],[-98.6994,44.4354],[-98.7034,44.5481],[-98.7066,44.5481],[-98.7069,44.6348]]]}}]}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Harsh, Sprih","contributorId":351098,"corporation":false,"usgs":false,"family":"Harsh","given":"Sprih","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":927902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauth, Hilary R.","contributorId":351099,"corporation":false,"usgs":false,"family":"Kauth","given":"Hilary R.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":927904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregory, Andrew J.","contributorId":351100,"corporation":false,"usgs":false,"family":"Gregory","given":"Andrew J.","affiliations":[{"id":83920,"text":"University fo North Texas","active":true,"usgs":false}],"preferred":false,"id":927905,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261490,"text":"cir1546 - 2024 - U.S. Geological Survey science strategy to address chronic wasting disease and cervid health in 2024–2028","interactions":[],"lastModifiedDate":"2024-12-12T15:15:51.984386","indexId":"cir1546","displayToPublicDate":"2024-12-11T15:20:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1546","displayTitle":"U.S. Geological Survey Science Strategy To Address Chronic Wasting Disease and Cervid Health in 2024–2028","title":"U.S. Geological Survey science strategy to address chronic wasting disease and cervid health in 2024–2028","docAbstract":"Chronic wasting disease (CWD), a neurological disease similar to scrapie in goats and sheep, has been spreading since the 1960s throughout cervid populations in the United States. It is currently detected in 30 States and now also extends to Canada, Korea, and Scandinavia. CWD is a fatal disease caused by an infectious abnormally folded prion protein. Population-level effects of CWD on localized subpopulations of white-tailed deer (Odocoileus virginianus), mule deer (Odocoileus hemionus), and elk (Cervus elaphus) have been documented. While susceptible to CWD, free-ranging moose (Alces alces) and reindeer (Rangifer tarandus) populations do not currently appear to be as severely affected.
The mission of the U.S. Geological Survey (USGS) Chronic Wasting Disease and Cervid Health Science Team is to deliver integrated science to build resiliency into free-ranging cervid populations through more effective management of CWD, build capacity for ungulate health science, and enhance cervid health information sharing across USGS science centers and cooperative research units as well as with stakeholders. The USGS can play an important role in supporting regional and (or) national capacity building by providing resources and guidance to local, State, and Tribal management entities and by providing tools to enhance disease management. The USGS Ecosystems Mission Area’s Biological Threats and Invasive Species Research Program (BTRP) is the lead Federal program for free-ranging wildlife disease research and surveillance.
The BTRP is relied upon by Congress, as well as local, State, and Tribal partners, to provide quality science that allows for informed decisions to be made about wildlife disease policy, planning, and management. The information provided by our research gives policy makers and the public the understanding needed to improve management preparedness and response.
This document describes the U.S. Geological Survey Science Strategy To Address Chronic Wasting Disease and Cervid Health. It lays out a 5-year science strategy (2024–2028) for continued USGS research to study CWD in free-ranging cervids and their environments. The strategy includes improving detection methods, advancing our understanding of the mechanisms of transmission, incorporating the human dimensions and socio-economic effects of CWD in scientific studies, developing tools for decision making, and understanding potential effects of this disease on ecosystem health.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1546","programNote":"Biological Threats and Invasive Species Research Program","usgsCitation":"Ferrante, J., Cook, J., Cross, P., and Hopkins, M.C., 2024, U.S. Geological Survey science strategy to address chronic wasting disease and cervid health in 2024–2028: U.S. Geological Survey Circular 1546, 23 p., https://doi.org/10.3133/cir1546.","productDescription":"iv, 23 p.","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148420","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":465017,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1546/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"CIR 1546 HTML"},{"id":465015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1546/coverthb.jpg"},{"id":465016,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1546/cir1546.pdf","text":"Report","size":"2.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1546 PDF"},{"id":465018,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1546/cir1546.XML","linkFileType":{"id":8,"text":"xml"},"description":"CIR 1546 XML"},{"id":465019,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1546/images/"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -61.31713861615863,\n 51.798169159875584\n ],\n [\n -70.84516912381969,\n 57.60927328627693\n ],\n [\n -79.97840192694242,\n 56.96369109602145\n ],\n [\n -98.9763468291297,\n 58.10745500994631\n ],\n [\n -105.97430731956841,\n 58.51439229684212\n ],\n [\n -123.95328059941433,\n 59.823521339495926\n ],\n [\n -118.27008319098096,\n 45.78066978292287\n ],\n [\n -119.2526974550857,\n 36.314219482172945\n ],\n [\n -110.66126199116995,\n 31.381304487641245\n ],\n [\n -108.01552685914432,\n 31.60422784312297\n ],\n [\n -106.7803893665593,\n 31.780711537568905\n ],\n [\n -103.54218472672368,\n 29.19672079107903\n ],\n [\n -102.73039159428494,\n 29.719715486435504\n ],\n [\n -100.31581722455358,\n 28.68015271646064\n ],\n [\n -97.5866474305041,\n 25.71447987525059\n ],\n [\n -96.56070934364915,\n 28.25358846736573\n ],\n [\n -93.02846468656081,\n 29.870007831329644\n ],\n [\n -88.61123123438306,\n 30.129551877535334\n ],\n [\n -84.22131969710854,\n 30.145253909571707\n ],\n [\n -78.77152528437028,\n 33.5824002393059\n ],\n [\n -76.27052418964175,\n 38.67326784830237\n ],\n [\n -74.42155214648737,\n 41.28608112858171\n ],\n [\n -70.97504325210315,\n 45.96165445720894\n ],\n [\n -67.47288047410318,\n 50.45849385373546\n ],\n [\n -61.31713861615863,\n 51.798169159875584\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Associate Director, Ecosystems Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 300
Reston, VA 20192
Nitrogen dynamics in intertidal and nearshore subtidal groundwater (subterranean estuary) adjacent to the Seacoast Shores peninsula, Falmouth, Massachusetts, were investigated during 2015–16 by the U.S. Geological Survey. The peninsula is a densely populated residential area with septic systems and cesspools that are substantial sources of nitrogen to groundwater. The study area is in the Eel River, an estuarine saltwater embayment connected to the ocean adjacent to the western shore of the peninsula, that was the subject of an earlier study by Colman and others (2018, https://doi.org/10.3133/sir20185095) on nitrogen transport and transformations in groundwater between onshore and offshore locations. The previous study documented the distribution of nitrate concentrations and nitrate attenuation reactions in fresh groundwater beneath the peninsula and the estuary. The current study extended those observations with more detailed sampling and analysis of shallow groundwater from wells near discharge sites beneath the estuary. The current field investigation included sampling of existing wells and installation and sampling of clusters of wells and temporary sampling points in the subterranean estuary, including (1) shallow transects 0.3 to 1.2 meters (m) deep extending from 1 to 13.5 m offshore and (2) deeper wells (from 1.83 to 4.88 m deep) extending from 4.3 to 14.3 m offshore.
Measurements of hydraulic-head gradients 2–5 m below the sediment/water interface in the intertidal and nearshore subtidal zones indicated that groundwater flow generally was upwards (towards the estuary) under all tide conditions in October 2016. The magnitude of the gradient was greatest during low tide conditions, indicating that groundwater discharge likely decreased during high tides.
Measurements of specific conductance in shallow groundwater in the subterranean estuary in three transects perpendicular to shore were consistent with the existence of saltwater flow cells (infiltration of overlying saline water, mixing with fresh groundwater, and discharge to the overlying saline water) in the intertidal and nearshore subtidal regions. The size of these flow cells was variable in space and time and dependent on the elevation of the tide (spring or neap). At this location in the Eel River subterranean estuary, and offshore to at least 13.5 m, offshore flow of fresh groundwater apparently prevented a deeper saltwater wedge from discharging to the surface.
Nitrate concentrations in shallow groundwater (30 to 122 centimeters [cm] depth) were variable in space and time, ranging from not detectable to 600 micromoles per liter (μmol/L) (8.4 milligrams per liter as N), and were highest in June 2016 at depths from 61 to 122 cm below the sediment/water interface and from 4 to 9 m offshore. Nitrate generally was not detectable in saline shallow groundwater at 30-cm depth or at any depth from 30 to 122 cm from 10 to 13.5 m offshore. Dissolved oxygen concentrations were suboxic (less than 16 μmol/L) in 60 percent of the sampled subterranean groundwater beneath the intertidal and subtidal zones. In the remaining sites, the range of dissolved oxygen concentrations was from 18 to 272 μmol/L and the median concentration was 43 μmol/L.
Evidence for microbial nitrate reduction (denitrification and possibly anammox) was provided by the distribution of the reaction product nitrogen gas (excess N2, or N2MIC), as determined from analysis of the dissolved nitrogen gas and argon gas (Ar) concentrations in groundwater samples. Excess nitrogen gas provided evidence for nitrate reduction in shallow groundwater below the subtidal and, to a lesser extent, intertidal zones adjacent to the Seacoast Shores peninsula. These zones, where evidence for nitrate reduction was detected, were in fresh and brackish groundwater near subtidal or intertidal saltwater cells where discharging fresh groundwater mixed with infiltrating saline water. Infiltrating seawater may have supplied organic carbon, one of several potential electron donors that are required for denitrification. Other potential electron donors, such as organic carbon, iron, manganese, hydrogen, methane, ammonium, elemental sulfur, or sulfide phases, may have been supplied by the estuarine sediments. Drainage from surface runoff near the shore also may have supplied organic carbon to fresh groundwater near the intertidal saltwater cell.
The highest amounts of nitrate converted to excess nitrogen gas were estimated to be in the range of 230 to 430 μmol/L in nearly fresh groundwater near the subtidal saltwater cell at depths of 61 to 122 cm below the sediment/water interface and from 10 to 13.5 m offshore. Evidence of denitrification within 10 m of the shore was sparse (generally limited to less than 50 μmol/L of N2-N) despite the presence of high nitrate concentrations. The spatial distribution of estimated nitrate reduction in the intertidal and nearshore subtidal fresh and brackish groundwater may be related to local variability in the distribution of reactive electron donors in those zones. Variations in the amount of nitrate reduction to nitrogen gas were not clearly related to potential aqueous electron donors such as dissolved organic carbon, nor to potential reaction products such as alkalinity, but may have been controlled by combinations of aqueous and solid-phase reactants. The distribution of relatively shallow fresh groundwater containing nitrate could indicate potential nitrate discharge areas in the lower intertidal zone and uncertain locations farther offshore; however, the data did not extend all the way to the sediment/water interface or to the offshore freshwater limit. This study confirmed substantial loss of nitrate from some of the fresh and brackish groundwater in shallow subestuarine sediments prior to discharge but did not quantify how much nitrate eventually discharged to the estuary.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245100","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Office of Research and Development and Region 1 (New England)","programNote":"Environmental Health Program, Coastal/Marine Hazards and Resources Program","usgsCitation":"Huntington, T.G., Kroeger, K.D., McCobb, T.D., Böhlke, J.K., Colman, J.A., Brooks, T.W., and Szymczycha, B., 2024, Evidence of nitrate attenuation in intertidal and subtidal groundwater in a subterranean estuary at a Cape Cod embayment, East Falmouth, Massachusetts, 2015–16: U.S. Geological Survey Scientific Investigations Report 2024–5100, 45 p., https://doi.org/10.3133/sir20245100.","productDescription":"Report: ix, 45 p.; Data Release","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-128353","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":495118,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118080.htm","linkFileType":{"id":5,"text":"html"}},{"id":464963,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20185095","text":"Scientific Investigations Report 2018–5095","linkHelpText":"Geochemical conditions and nitrogen transport in nearshore groundwater and the subterranean estuary at a Cape Cod embayment, East Falmouth, Massachusetts, 2013–14"},{"id":464958,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5100/sir20245100.pdf","text":"Report","size":"8.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5100 PDF"},{"id":464961,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5100/images/"},{"id":464962,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13LGNTT","text":"USGS data release","linkHelpText":"Geochemical data supporting analysis of fate and transport of nitrogen in the nearshore groundwater and subterranean estuary near East Falmouth, Massachusetts, 2015–2016"},{"id":464960,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5100/sir20245100.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5100 XML"},{"id":464959,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245100/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5100 HTML"},{"id":464957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5100/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod Embayment, East Falmouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.5439543201461,\n 41.57096045380911\n ],\n [\n -70.5439543201461,\n 41.5648296072948\n ],\n [\n -70.53931798288792,\n 41.5648296072948\n ],\n [\n -70.53931798288792,\n 41.57096045380911\n ],\n [\n -70.5439543201461,\n 41.57096045380911\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
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