{"pageNumber":"218","pageRowStart":"5425","pageSize":"25","recordCount":184617,"records":[{"id":70250923,"text":"70250923 - 2023 - A Buteo sp. hawk predates a hummingbird (Trochilidae) during autumn migration","interactions":[],"lastModifiedDate":"2024-01-12T13:35:58.612535","indexId":"70250923","displayToPublicDate":"2023-12-22T07:34:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"A Buteo sp. hawk predates a hummingbird (Trochilidae) during autumn migration","docAbstract":"

Predation can play a significant role on survival during migration as birds find themselves competing for resources in unfamiliar habitats. Here we describe the first documented observation of a Buteo platypterus (Broad-winged Hawk) predating an Archilochus colubris (Ruby-throated Hummingbird) during autumn migration. To our knowledge, this is the first documented record of any Buteo sp. hawk predating any Trochilidae (hummingbird). While predation on hummingbirds likely represents a minor source of mortality, identifying sources of predation and mortality is important in understanding the risk of migration for any species.

","language":"English","publisher":"BioOne","doi":"10.1656/058.022.0409","usgsCitation":"Zenzal, T.J., and Lain, E.J., 2023, A Buteo sp. hawk predates a hummingbird (Trochilidae) during autumn migration: Southeastern Naturalist, v. 22, no. 4, p. N67-N71, https://doi.org/10.1656/058.022.0409.","productDescription":"5 p.","startPage":"N67","endPage":"N71","ipdsId":"IP-156753","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":424374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":892077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lain, Emily J.","contributorId":333137,"corporation":false,"usgs":false,"family":"Lain","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":892078,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70254271,"text":"70254271 - 2023 - The importance of Sky Islands in the annual cycle of the Western (Cordilleran) Flycatcher Empidonax occidentalis","interactions":[],"lastModifiedDate":"2024-05-16T12:02:57.102492","indexId":"70254271","displayToPublicDate":"2023-12-22T07:00:45","publicationYear":"2023","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"title":"The importance of Sky Islands in the annual cycle of the Western (Cordilleran) Flycatcher Empidonax occidentalis","docAbstract":"For more than a century and a half the Madrean sky islands, a group of 55 mountain ranges that occur from the middle of Arizona to the southern end of Sonora Mexico and rise from the desert floor to 3,000-10,000 feet elevation, have been a Mecca for ornithologists and natural historians. The ornithological literature of the late 19th early 20th centuries is filled with the wonderfully detailed and colorful accounts of expeditions and discoveries by Charles Bendire, Elliott Coues, William Brewster, William Earl Dodge Scott, Harry S. Swarth, and Herbert Brandt, to name but a few. The Huachuca, Santa Rita, and Chiricahua Sky Islands in particular, received a great deal of attention, being renowned for producing rare Mexican strays --- Recent sightings of The Red Warbler and Brown Flycatcher at Rose Canyon on Mt Lemmon attest to the continued northward movement of species that are usually only seen in Mexico. Throughout the 20th century, ornithologists such as Russell P. Balda, Steven M. Russell, James T. Marshall Jr., and J. 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Great Basin, United States","interactions":[],"lastModifiedDate":"2025-08-07T21:10:28.947951","indexId":"cir1516","displayToPublicDate":"2023-12-22T07:00:34","publicationYear":"2023","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":"1516","displayTitle":"Integrated Science Strategy for Assessing and Monitoring Water Availability and Migratory Birds for Terminal Lakes Across the Great Basin, United States","title":"Integrated science strategy for assessing and monitoring water availability and migratory birds for terminal lakes across the Great Basin, United States","docAbstract":"

Executive Summary

In 2022, the U.S. Geological Survey (USGS) established the Saline Lake Ecosystems Integrated Water Availability Assessment (IWAAs) to monitor and assess the hydrology of terminal lakes in the Great Basin and the migratory birds and other wildlife dependent on those habitats. Scientists from across the USGS (with specialties in water quantity, water quality, limnology, avian biology, data science, landscape ecology, and science communication) formed the Saline Lake Ecosystems IWAAs Team. The team has developed this regional strategic science plan to guide data collection and assessment activities at terminal lakes in the Great Basin.

The U.S. Congress requested the USGS to establish the Saline Lake Ecosystems IWAAs in response to historically low water levels at terminal lakes and associated wetlands across the Great Basin. Not all Great Basin terminal lakes have high salinity; however, all terminal lakes occur in endorheic, closed, basins with no surface-water outflow. Low lake levels across the Great Basin are the result of increased water use for agriculture and municipalities, drought conditions, and a warming climate. Great Basin terminal lake water extents have decreased by as much as 90 percent over the last 150 years, and terminal lake wetlands have decreased in area by as much as 47 percent since 1984. Lake elevations and wetland areas are primarily supported by freshwater inputs from snowmelt feeding upgradient rivers, streams, and springs. These freshwater inputs have been severely reduced because of continued and increased surface-water diversions and surface-water capture through groundwater pumping for agriculture, mining, and public supply as well as unprecedented drought conditions and warming temperatures related to climate change.

Water quality, specifically salinity, is highly variable for terminal lakes of the Great Basin, and this variability is a result of the balance between freshwater inflow and evaporation. Variability of salinity at each of the terminal lakes can be affected by lake morphology, hydrogeologic features of the basin, annual variability in weather patterns, and changes in upgradient water use. Hypersaline terminal lakes provide abundant food resources such as brine shrimp and brine flies that support nesting and migrating birds. The density and composition of invertebrates are closely tied to lake salinity. Increased salinity can exceed the tolerance of invertebrates, severely limiting their biomass. In contrast, decreased salinity can lead to altered invertebrate community composition, reducing the abundance of optimal avian prey resources.

Great Basin terminal lake ecosystems, including open-water and adjacent aquatic and terrestrial environments, provide resources necessary to sustain many animal populations throughout the year. Although a variety of taxa use terminal lakes, these ecosystems are of acute importance for the millions of migratory waterbirds (for example, shorebirds, wading birds, and waterfowl) dependent on the network of terminal lakes and their associated wetlands. Migratory birds transiting the Pacific and Central Flyways use Great Basin terminal lake ecosystems throughout the year to feed, nest, and transit between wintering and breeding ranges. As such, successful conservation of birds and their habitats requires coordinated management of water and habitats across the Great Basin network of terminal lakes and wetlands.

The linkages between water availability and ecosystem vulnerability of terminal lakes in the Great Basin are not well understood. The vulnerability of terminal lakes is related to the factors driving change and adaptive capacity of the lake ecosystem. Saline lake ecosystems are vulnerable when changes in water quantity affect ecosystem function. Water quantity affects salinity, which affects food webs and habitat; these linkages can be investigated with water-quality and food web monitoring. Water quantity also affects inundated habitat, which can be quantified through remote sensing. It is necessary to quantify hydroclimatic and water use controls on water availability to terminal lakes to assess the response of the ecosystems. Remotely sensed data can provide a broad-scale and long-term synoptic view of terminal lake hydrologic characteristics, but ground observations are required to interpret changes in water quality and ecological functions. Some terminal lake basins have ongoing monitoring and modeling efforts within the Great Basin (for example, Great Salt Lake, Carson River Basin), yet most monitoring locations are hydrologically upgradient and too far away from lake inflows to provide an accurate assessment of hydrological trends for the lake ecosystems. Other terminal lakes have no long-term hydrological monitoring in their respective watersheds (for example, Lake Abert).

Ecological data collection in the Great Basin is also insufficient to understand how many birds exist on the landscape, how birds use the mosaic of terminal-lake habitats as an interconnected system, and how Great Basin terminal lakes are linked to the larger continental system of the Pacific and Central Flyways. Across agencies and organizations, tracking bird movement, abundance, and diversity is inconsistent, with some lakes having once- or twice-a-year bird survey efforts and a few locations having more intensive ecological data-gathering efforts (for example, Great Salt Lake, Lake Abert). Bridging hydrological and ecological information gaps will improve understanding of the trends in water supply and water quality, habitat availability and usage, and impacts on vulnerable waterbird species, all of which would be used by managers in coordinated conservation of this unique network of terminal-lake habitats.

The terminal lakes of the Great Basin are part of the Basin and Range physiographic province that extends from the Colorado Plateau on the east to the Sierra Nevada on the west, and from the Snake River Plain on the north to the Garlock fault and the Mojave block on the south. The Great Basin is larger than 650,000 square kilometers and encompasses most of the State of Nevada but also extends to western Utah, eastern California, southeastern Idaho, southwestern Wyoming, and southeastern Oregon. The climate is arid to semiarid with a hydrologic regime that is snowmelt dominated, providing as much as 75 percent of total annual runoff for the region. Terminal lakes of the Great Basin occupy the lowest areas of closed (endorheic) drainage basins, such that lake levels and water quality respond rapidly to surface-water inflow. Terminal lakes provide local and regional economic value to the States in the Great Basin, including mineral extraction, aquaculture, public works, and recreational uses. As an example, assessments of Great Salt Lake’s ecological health and economic impact find hemispheric importance for the former and regional importance for the latter. Great Salt Lake creates about 7,000 jobs and $2 billion of economic output per year, most of which would be lost with further declines in lake level.

The objectives of this Science Strategy are threefold: (1) to identify how changing water availability affects the quality, diversity, and abundance of habitats supporting continental waterbird populations; (2) to highlight the scientific monitoring and assessment needs of Great Basin terminal lakes; and (3) to support coordinated management and conservation actions to benefit those ecosystems, migratory birds, and other wildlife. There are long-term hydrological, ecological, and societal challenges associated with terminal lakes ecosystems in the Great Basin. This Science Strategy benefits partners by providing a conceptual model, nested at different spatial extents, that identifies key scientific information needs to inform coordinated implementation of management and conservation plans within and among hydrologic basins to address these complex challenges.

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Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th Street, Suite 400
Corvallis, Oregon 97330

Director, Utah Water Science Center
U.S. Geological Survey
2329 West Orton Circle
Salt Lake City, Utah 84119-2047

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tmarston@usgs.gov","orcid":"https://orcid.org/0000-0003-1053-4172","contributorId":3272,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","email":"tmarston@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890396,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morris, Christopher M. 0000-0002-0477-7605 cmmorris@usgs.gov","orcid":"https://orcid.org/0000-0002-0477-7605","contributorId":243176,"corporation":false,"usgs":true,"family":"Morris","given":"Christopher M.","email":"cmmorris@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":890397,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 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R.","email":"doleary@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890400,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":890401,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pulver, Bryce A. 0009-0004-5847-2104","orcid":"https://orcid.org/0009-0004-5847-2104","contributorId":332534,"corporation":false,"usgs":false,"family":"Pulver","given":"Bryce A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":false,"id":890402,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":890403,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rumsey, Christine A. 0000-0001-7536-750X","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":187588,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":false,"id":890404,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":890405,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Smith, Cassandra D. 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":205220,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":890406,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70250754,"text":"70250754 - 2023 - Microfossils and biostratigraphy of the Upper Cretaceous Coon Creek Formation Lagerstätte, Mississippi Embayment, USA","interactions":[],"lastModifiedDate":"2024-01-03T12:53:39.320366","indexId":"70250754","displayToPublicDate":"2023-12-22T06:49:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Microfossils and biostratigraphy of the Upper Cretaceous Coon Creek Formation Lagerstätte, Mississippi Embayment, USA","docAbstract":"
The Upper Cretaceous Coon Creek Formation type-locality in McNairy County, Tennessee, is an exceptional marine invertebrate Lagerstätte that was deposited in a nearshore reentrant into the ancestral continent of Appalachia. Extensive taxonomic analysis of the macrofauna has been done for over 100 years. However, documentation of the microfossil component at the type-locality has largely been ignored. This paper provides analysis of calcareous microfossils (benthic and planktonic foraminifera, calcareous nannofossils and ostracods) and palynomorphs (pollen, spores, algal remains and dinoflagellates) for detailed age control and information regarding environment of deposition. The Coon Creek type-locality is late Campanian (76.8–76.0 Ma) in age and was deposited in 35–60 m water depths. Calcareous nannofossil assemblages suggest that there was an influence of colder water through time, possibly by a connection to the northern Western Interior Seaway. The complex interplay between currents of the Gulf of Mexico and the Western Interior Seaway, upwelling and runoff influenced the palaeoenvironment. Increased influx of freshwater palynomorphs near the top of the section suggests placement proximal to the palaeoshoreline and that weathering increased through time. Changes in the dinoflagellate assemblage may be linked to a mosasaur mass mortality event and the presence of a harmful algal bloom.
","language":"English","publisher":"Geological Society, London","doi":"10.1144/SP545-2023-137","usgsCitation":"Self-Trail, J., Gardner, K.F., O’Keefe, J.M., Mason, P.H., Puckett, M., Gibson, M.A., and McCarty, M., 2023, Microfossils and biostratigraphy of the Upper Cretaceous Coon Creek Formation Lagerstätte, Mississippi Embayment, USA: Geological Society, London, Special Publications, v. 545, 22 p., https://doi.org/10.1144/SP545-2023-137.","productDescription":"22 p.","ipdsId":"IP-155094","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":424063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","county":"McNairy County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.3641,35.3852],[-88.3638,35.3738],[-88.3642,35.3675],[-88.3653,35.3148],[-88.3755,35.3141],[-88.3763,35.3041],[-88.3776,35.2909],[-88.3686,35.2906],[-88.3722,35.1734],[-88.3798,34.9982],[-88.4123,34.9983],[-88.5458,34.9979],[-88.6689,34.9975],[-88.7867,34.9972],[-88.7849,35.133],[-88.7846,35.2475],[-88.7192,35.2477],[-88.7162,35.2582],[-88.7072,35.2579],[-88.7081,35.2637],[-88.6908,35.3056],[-88.6393,35.3038],[-88.6396,35.3138],[-88.6399,35.3184],[-88.6608,35.3204],[-88.6674,35.3405],[-88.6197,35.3675],[-88.5773,35.3812],[-88.5267,35.3863],[-88.3724,35.38],[-88.3726,35.385],[-88.3641,35.3852]]]},\"properties\":{\"name\":\"McNairy\",\"state\":\"TN\"}}]}","volume":"545","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":891272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":891273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Keefe, Jennifer M K","contributorId":200148,"corporation":false,"usgs":false,"family":"O’Keefe","given":"Jennifer","email":"","middleInitial":"M K","affiliations":[],"preferred":false,"id":891274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Patricia H.","contributorId":332897,"corporation":false,"usgs":false,"family":"Mason","given":"Patricia","email":"","middleInitial":"H.","affiliations":[{"id":24668,"text":"University of North Carolina, Wilmington","active":true,"usgs":false}],"preferred":false,"id":891275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puckett, Mark","contributorId":317218,"corporation":false,"usgs":false,"family":"Puckett","given":"Mark","email":"","affiliations":[],"preferred":false,"id":891276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gibson, Michael A.","contributorId":332898,"corporation":false,"usgs":false,"family":"Gibson","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":891277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCarty, Maeve","contributorId":317219,"corporation":false,"usgs":false,"family":"McCarty","given":"Maeve","email":"","affiliations":[],"preferred":false,"id":891278,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250772,"text":"70250772 - 2023 - Train, inform, borrow, or combine? Approaches to process-guided deep learning for groundwater-influenced stream temperature prediction","interactions":[],"lastModifiedDate":"2024-01-04T12:51:48.498521","indexId":"70250772","displayToPublicDate":"2023-12-22T06:44:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Train, inform, borrow, or combine? Approaches to process-guided deep learning for groundwater-influenced stream temperature prediction","docAbstract":"

Although groundwater discharge is a critical stream temperature control process, it is not explicitly represented in many stream temperature models, an omission that may reduce predictive accuracy, hinder management of aquatic habitat, and decrease user confidence. We assessed the performance of a previously-described process-guided deep learning model of stream temperature in the Delaware River Basin (USA). We found lower accuracy (root mean square error [RMSE] of 1.71 versus 1.35°C) and stronger seasonal bias (absolute mean monthly bias of 1.06 vs. 0.68°C) for reaches primarily influenced by deep groundwater as compared to atmospheric conditions. We then tested four approaches for improving groundwater process representation: (a) a custom loss function leveraging the unique patterns of air and water temperature coupling characteristic of different temperature drivers, (b) inclusion of additional groundwater-relevant catchment attributes, (c) incorporation of additional process model outputs, and (d) a composite model. The custom loss function and the additional attributes significantly improved the predictive accuracy in groundwater-dominated reaches (RMSE of 1.37 and 1.26°C) and reduced the seasonal bias (absolute mean monthly bias of 0.44 and 0.48°C), but neither approach could identify holdout groundwater reaches. Variable importance analysis indicates the custom loss function nudges the model to use the existing inputs more efficiently, whereas with the added features the model relies on a broader suite of inputs. This analysis is a substantial step toward more accurately representing groundwater discharge processes in stream temperature models and will improve predictive accuracy and inform habitat management.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR035327","usgsCitation":"Barclay, J.R., Topp, S.N., Koenig, L.E., Sleckman, M.J., and Appling, A.P., 2023, Train, inform, borrow, or combine? Approaches to process-guided deep learning for groundwater-influenced stream temperature prediction: Water Resources Research, v. 59, no. 12, e2023WR035327, 19 p., https://doi.org/10.1029/2023WR035327.","productDescription":"e2023WR035327, 19 p.","ipdsId":"IP-150248","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":441375,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr035327","text":"Publisher Index Page"},{"id":435108,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KO49OT","text":"USGS data release","linkHelpText":"Model Code, Outputs, and Supporting Data for Approaches to Process-Guided Deep Learning for Groundwater-Influenced Stream Temperature Predictions"},{"id":424108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.0,\n 38.46095870619746\n ],\n [\n -74.27398526052804,\n 38.46095870619746\n ],\n [\n -74.27398526052804,\n 42.406071951802744\n ],\n [\n -76,\n 42.406071951802744\n ],\n [\n -76,\n 38.46095870619746\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topp, Simon Nemer 0000-0001-7741-5982","orcid":"https://orcid.org/0000-0001-7741-5982","contributorId":268229,"corporation":false,"usgs":true,"family":"Topp","given":"Simon","email":"","middleInitial":"Nemer","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":891361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenig, Lauren Elizabeth 0000-0002-7790-330X","orcid":"https://orcid.org/0000-0002-7790-330X","contributorId":295259,"corporation":false,"usgs":true,"family":"Koenig","given":"Lauren","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":891362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleckman, Margaux Jeanne 0000-0002-1843-6932","orcid":"https://orcid.org/0000-0002-1843-6932","contributorId":295257,"corporation":false,"usgs":true,"family":"Sleckman","given":"Margaux","email":"","middleInitial":"Jeanne","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":891363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":891364,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252083,"text":"70252083 - 2023 - A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting","interactions":[],"lastModifiedDate":"2024-03-13T11:42:12.578809","indexId":"70252083","displayToPublicDate":"2023-12-22T06:41:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1014,"text":"Biological Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting","docAbstract":"

Mass mortality events provide valuable insight into biological extremes and also ecological interactions more generally. The sea star wasting epidemic that began in 2013 catalyzed study of the microbiome, genetics, population dynamics, and community ecology of several high-profile species inhabiting the northeastern Pacific but exposed a dearth of information on the diversity, distributions, and impacts of sea star wasting for many lesser-known sea stars and a need for integration across scales. Here, we combine datasets from single-site to coast-wide studies, across time lines from weeks to decades, for 65 species. We evaluated the impacts of abiotic characteristics hypothetically associated with sea star wasting (sea surface temperature, pelagic primary productivity, upwelling wind forcing, wave exposure, freshwater runoff) and species characteristics (depth distribution, developmental mode, diet, habitat, reproductive period). We find that the 2010s sea star wasting outbreak clearly affected a little over a dozen species, primarily intertidal and shallow subtidal taxa, causing instantaneous wasting prevalence rates of 5%–80%. Despite the collapse of some populations within weeks, environmental and species variation protracted the outbreak, which lasted 2–3 years from onset until declining to chronic background rates of ∼2% sea star wasting prevalence. Recruitment began immediately in many species, and in general, sea star assemblages trended toward recovery; however, recovery was heterogeneous, and a marine heatwave in 2019 raised concerns of a second decline. The abiotic stressors most associated with the 2010s sea star wasting outbreak were elevated sea surface temperature and low wave exposure, as well as freshwater discharge in the north. However, detailed data speaking directly to the biological, ecological, and environmental cause(s) and consequences of the sea star wasting outbreak remain limited in scope, unavoidably retrospective, and perhaps always indeterminate. Redressing this shortfall for the future will require a broad spectrum of monitoring studies not less than the taxonomically broad cross-scale framework we have modeled in this synthesis.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/727969","usgsCitation":"Dawson, M., Duffin, P., Giakoumis, M., Schiebelhut, L.M., Beas-Luna, R., Bosley, K., Castilho, R., Ewers-Saucedo, C., Gavenus, K., Keller, A., Konar, B., Largier, J.L., Lorda, J., Miner, M., Moritsch, M., Navarette, S., Raimondi, P.T., Traiger, S.B., Turner, M., and Wares, J., 2023, A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting: Biological Bulletin, v. 244, no. 3, https://doi.org/10.1086/727969.","ipdsId":"IP-131426","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441377,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/56754","text":"External Repository"},{"id":426574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"244","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dawson, Michael","contributorId":334800,"corporation":false,"usgs":false,"family":"Dawson","given":"Michael","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":896550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffin, Paige","contributorId":295356,"corporation":false,"usgs":false,"family":"Duffin","given":"Paige","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":896551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giakoumis, Melina","contributorId":334801,"corporation":false,"usgs":false,"family":"Giakoumis","given":"Melina","email":"","affiliations":[{"id":39562,"text":"City University of New York","active":true,"usgs":false}],"preferred":false,"id":896552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schiebelhut, Lauren M","contributorId":295369,"corporation":false,"usgs":false,"family":"Schiebelhut","given":"Lauren","email":"","middleInitial":"M","affiliations":[{"id":54780,"text":"UC Merced","active":true,"usgs":false}],"preferred":false,"id":896553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beas-Luna, Rodrigo","contributorId":127447,"corporation":false,"usgs":false,"family":"Beas-Luna","given":"Rodrigo","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bosley, Keith","contributorId":334802,"corporation":false,"usgs":false,"family":"Bosley","given":"Keith","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":896555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castilho, Rita","contributorId":334803,"corporation":false,"usgs":false,"family":"Castilho","given":"Rita","email":"","affiliations":[{"id":80253,"text":"University of Algarve","active":true,"usgs":false}],"preferred":false,"id":896556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ewers-Saucedo, Christine","contributorId":334804,"corporation":false,"usgs":false,"family":"Ewers-Saucedo","given":"Christine","email":"","affiliations":[{"id":80254,"text":"Zoological Museum Christian-Albrechts University","active":true,"usgs":false}],"preferred":false,"id":896557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gavenus, Katie","contributorId":334805,"corporation":false,"usgs":false,"family":"Gavenus","given":"Katie","email":"","affiliations":[{"id":80255,"text":"Center for Alaskan Coastal Studies","active":true,"usgs":false}],"preferred":false,"id":896558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Keller, Aimee","contributorId":334806,"corporation":false,"usgs":false,"family":"Keller","given":"Aimee","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":896559,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Konar, Brenda","contributorId":131034,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":896560,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":896561,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lorda, Julio","contributorId":334807,"corporation":false,"usgs":false,"family":"Lorda","given":"Julio","affiliations":[{"id":34468,"text":"Universidad Autonoma de Baja California","active":true,"usgs":false}],"preferred":false,"id":896562,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Miner, Melissa","contributorId":334808,"corporation":false,"usgs":false,"family":"Miner","given":"Melissa","email":"","affiliations":[{"id":80256,"text":"University of Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896563,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Moritsch, Monica","contributorId":304091,"corporation":false,"usgs":false,"family":"Moritsch","given":"Monica","affiliations":[{"id":65966,"text":"EDF","active":true,"usgs":false}],"preferred":false,"id":896564,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Navarette, Sergio","contributorId":334809,"corporation":false,"usgs":false,"family":"Navarette","given":"Sergio","email":"","affiliations":[{"id":66274,"text":"Pontifica Universidad Catolica de Chile","active":true,"usgs":false}],"preferred":false,"id":896565,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Raimondi, Peter T.","contributorId":139302,"corporation":false,"usgs":false,"family":"Raimondi","given":"Peter","email":"","middleInitial":"T.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896566,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Traiger, Sarah Beth 0000-0002-6222-1445","orcid":"https://orcid.org/0000-0002-6222-1445","contributorId":293218,"corporation":false,"usgs":true,"family":"Traiger","given":"Sarah","email":"","middleInitial":"Beth","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":896567,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Turner, Monica","contributorId":193037,"corporation":false,"usgs":false,"family":"Turner","given":"Monica","affiliations":[],"preferred":false,"id":896568,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wares, John","contributorId":177199,"corporation":false,"usgs":false,"family":"Wares","given":"John","affiliations":[],"preferred":false,"id":896569,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70250608,"text":"sir20235127 - 2023 - Highway-runoff quality from segments of open-graded friction course and dense-graded hot-mix asphalt pavement on Interstate 95, Massachusetts, 2018–21","interactions":[],"lastModifiedDate":"2026-03-13T15:44:14.425291","indexId":"sir20235127","displayToPublicDate":"2023-12-21T14:45:00","publicationYear":"2023","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":"2023-5127","displayTitle":"Highway-Runoff Quality From Segments of Open-Graded Friction Course and Dense-Graded Hot-Mix Asphalt Pavement on Interstate 95, Massachusetts, 2018–21","title":"Highway-runoff quality from segments of open-graded friction course and dense-graded hot-mix asphalt pavement on Interstate 95, Massachusetts, 2018–21","docAbstract":"

Highway runoff is a source of sediment and associated constituents to downstream waterbodies that can be managed with the use of stormwater-control measures that reduce sediment loads. The use of open-graded friction course (OGFC) pavement has been identified as a method to reduce loads from highway runoff because it retains sediment in pavement voids; however, few datasets are available in New England to characterize runoff quality from OGFC pavement. To meet this data need, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Transportation, conducted a field study from October 2018 through September 2021 to monitor runoff from a section of traditional dense-graded hot-mix asphalt (HMA) and from a section of OGFC pavement on Interstate 95 near Needham, Massachusetts. A robust dataset that includes suspended sediment concentrations for nearly every runoff event during the study period was generated to compare runoff from the two 4,180-square-foot sections of highway pavement under identical traffic volume and maintenance characteristics.

Automatic-monitoring techniques were used to collect over 6,500 samples at each station to characterize all runoff-generating events during the study period (226 events for the HMA site and 168 events for the OGFC site). Suspended sediment concentrations were consistently lower in runoff from the OGFC pavement throughout the study period, with median event-mean concentrations for all runoff events of 29 and 15 milligrams per liter for the HMA and OGFC sites, respectively. The total load of sediment less than 6.0 millimeters in diameter from the HMA section (202 kilograms [kg]) was 41 percent greater than the load measured from the OGFC pavement (120 kg), and the total load of sediment less than 2.0 mm in diameter was 49 percent greater (168 kg and 85 kg from the HMA and OGFC sites, respectively). The greatest differences in loads between the two pavement segments were in the particle-size ranges less than 2.0 millimeters in diameter, indicating that these particles are retained by the voids in the OGFC pavement. The relative difference between annual sediment-load estimates at each site over the study period indicates that OGFC pavement became clogged, a condition that permeameter test results also reflected. Specifically, the average total load of sediment for the first 2 years of the study was 68 percent lower at the OGFC site than the HMA site, but the difference between the respective loads decreased to 19 percent in the third year of the study.

Study-period loads for most total-recoverable metals in runoff from each pavement type were between 7 and 64 percent higher from the HMA site, except for loads of arsenic, cadmium, and zinc, which were higher from the OGFC pavement. Study-period loads for total phosphorus were similar from each pavement type. Despite the same application rate of deicing chemicals, sodium and chloride loads in runoff were about two times greater from the OGFC section than from the HMA pavement during years with average snowfall amounts but were approximately equal at both sites during the mild winter in 2020.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235127","collaboration":"Prepared in cooperation with the Massachusetts Department of Transportation","usgsCitation":"Smith, K.P., Spaetzel, A.B., and Woodford, P.A., 2023, Highway-runoff quality from segments of open-graded friction course and dense-graded hot-mix asphalt pavement on Interstate 95, Massachusetts, 2018–21: U.S. Geological Survey Scientific Investigations Report 2023–5127, 59 p., https://doi.org/10.3133/sir20235127","productDescription":"Report: xi, 59 p.; Data Release","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151162","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":423760,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FASAUV","text":"USGS data release","linkHelpText":"Highway-monitoring data from segments of open-graded friction course and dense-graded hot-mix asphalt pavement in eastern Massachusetts, 2018–2021"},{"id":423755,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5127/coverthb.jpg"},{"id":423756,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5127/sir20235127.pdf","text":"Report","size":"4.80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5127"},{"id":424094,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235127/full","text":"Report"},{"id":423758,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5127/sir20235127.XML"},{"id":423759,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5127/images/"},{"id":501162,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115712.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.24249515694652,\n 42.31584615373151\n ],\n [\n -71.24249515694652,\n 42.25488827654789\n ],\n [\n -71.18207035225896,\n 42.25488827654789\n ],\n [\n -71.18207035225896,\n 42.31584615373151\n ],\n [\n -71.24249515694652,\n 42.31584615373151\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-12-21","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kirk 0000-0003-0269-474X","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":204404,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spaetzel, Alana B. 0000-0002-9871-812X","orcid":"https://orcid.org/0000-0002-9871-812X","contributorId":240935,"corporation":false,"usgs":true,"family":"Spaetzel","given":"Alana","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodford, Phillip A. 0009-0003-9449-9323","orcid":"https://orcid.org/0009-0003-9449-9323","contributorId":332021,"corporation":false,"usgs":true,"family":"Woodford","given":"Phillip","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890550,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250625,"text":"pp1842T - 2023 - The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus)","interactions":[{"subject":{"id":70250625,"text":"pp1842T - 2023 - The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus)","indexId":"pp1842T","publicationYear":"2023","noYear":false,"chapter":"T","displayTitle":"The Effects of Management Practices on Grassland Birds—Loggerhead Shrike (Lanius ludovicianus)","title":"The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-21T17:22:25.798008","indexId":"pp1842T","displayToPublicDate":"2023-12-21T09:42:36","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"T","displayTitle":"The Effects of Management Practices on Grassland Birds—Loggerhead Shrike (Lanius ludovicianus)","title":"The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus)","docAbstract":"

The key to Loggerhead Shrike (Lanius ludovicianus) management is providing open grasslands with scattered trees and shrubs for foraging, nesting, and perching. Loggerhead Shrikes have been reported to use habitats with 20–266 centimeters (cm) vegetation height, greater than or equal to (≥) 10 percent grass cover, 3–48 percent forb cover, 2–25 percent shrub cover, 3–40 percent bare ground, and 11–67 percent litter cover.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842T","usgsCitation":"Igl, L.D., Shaffer, J.A., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Nenneman, M.P., Zimmerman, A.L., Thiele, J.P., and Euliss, B.R., 2023, The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus), chap. T of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 24 p., https://doi.org/10.3133/pp1842T.","productDescription":"v, 24 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-095160","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":423799,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/t/coverthb.jpg"},{"id":423817,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/t/pp1842t.pdf","text":"Report","size":"2.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–T"}],"contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, North Dakota 58401

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-12-21","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":223125,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":221769,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":219230,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890613,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nenneman, Melvin P.","contributorId":190777,"corporation":false,"usgs":false,"family":"Nenneman","given":"Melvin","email":"","middleInitial":"P.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":890614,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Amy L.","contributorId":217210,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890615,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thiele, Jason P.","contributorId":217214,"corporation":false,"usgs":false,"family":"Thiele","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890616,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":890617,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70251923,"text":"70251923 - 2023 - Identifying structural priors in a hybrid differentiable model for stream water temperature modeling","interactions":[],"lastModifiedDate":"2024-03-07T13:01:44.619138","indexId":"70251923","displayToPublicDate":"2023-12-21T06:59:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Identifying structural priors in a hybrid differentiable model for stream water temperature modeling","docAbstract":"

Although deep learning models for stream temperature (Ts) have recently shown exceptional accuracy, they have limited interpretability and cannot output untrained variables. With hybrid differentiable models, neural networks (NNs) can be connected to physically based equations (called structural priors) to output intermediate variables such as water source fractions (specifying what portion of water is groundwater, subsurface, and surface flow). However, it is unclear if such outputs are physically meaningful when only limited physics is imposed, and if structural priors have enough impacts to be identifiable from data. Here, we tested four alternative structural priors describing basin-scale water temperature memory and instream heat processes in a differentiable stream temperature model where NNs freely estimate the water source fractions. We evaluated models’ abilities to predict Ts and baseflow ratio. The four priors exhibited noticeably different behaviors in these two metrics and their tradeoffs, with some dominating others. Therefore, the better structural priors can be identified. Moreover, testing different priors yielded valuable insights: having a separate shallow subsurface flow component better matches observations, and a recency-weighted averaging of past air temperature for calculating source water temperature resulted in better Ts and baseflow prediction than traditionally employed simple averaging. However, we also highlight the limitations when insufficient physical constraints are implemented: the internal variables (water source fractions) may not be adequately constrained by a single target variable (stream temperature) alone. To ensure the physical significance of the internal fluxes, one can either employ multivariate data for model selection, or include more physical processes in the priors.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR034420","usgsCitation":"Rahmani, F., Appling, A.P., Feng, D., Lawson, K., and Shen, C., 2023, Identifying structural priors in a hybrid differentiable model for stream water temperature modeling: Water Resources Research, v. 59, no. 12, e2023WR034420, 21 p., https://doi.org/10.1029/2023WR034420.","productDescription":"e2023WR034420, 21 p.","ipdsId":"IP-148327","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":441379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr034420","text":"Publisher Index Page"},{"id":426426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rahmani, Farshid","contributorId":265775,"corporation":false,"usgs":false,"family":"Rahmani","given":"Farshid","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":896103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":896104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, Dapeng 0000-0002-5653-6504","orcid":"https://orcid.org/0000-0002-5653-6504","contributorId":317078,"corporation":false,"usgs":false,"family":"Feng","given":"Dapeng","email":"","affiliations":[{"id":68932,"text":"Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":896105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawson, Kathryn","contributorId":265776,"corporation":false,"usgs":false,"family":"Lawson","given":"Kathryn","affiliations":[{"id":54792,"text":"Civil and Environmental Engineering, Pennsylvania State University, University Park, PA","active":true,"usgs":false}],"preferred":false,"id":896106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shen, Chaopeng","contributorId":152465,"corporation":false,"usgs":false,"family":"Shen","given":"Chaopeng","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":896107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251274,"text":"70251274 - 2023 - How to handle glacier area change in geodetic mass balance","interactions":[],"lastModifiedDate":"2024-12-26T16:30:44.095182","indexId":"70251274","displayToPublicDate":"2023-12-21T06:52:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"How to handle glacier area change in geodetic mass balance","docAbstract":"

Innovations in geodesy enable widespread analysis of glacier surface elevation change and geodetic mass balance. However, coincident glacier area data are less widely available, causing inconsistent handling of glacier area change. Here we quantify the bias introduced into meters water equivalent (m w.e.) specific geodetic mass balance results when using a fixed, maximum glacier area, and illustrate the bias for five North American glaciers. Sites span latitudes from the northern U.S. Rocky Mountains (48°N) to the Central Alaska Range (63°N) between 1948 and 2021. Results show that fixed (maximum) area treatment subdues the m w.e. mass change signal, underestimating mass balance by up to 19% in our test cases. This bias scales with relative glacier area change and the mass balance magnitude. Thus, the bias for specific geodetic mass balances will be most pronounced across rapidly deglaciating regions. Our analysis underscores the need for temporally resolved glacier area in geodetic mass balance studies.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2023.86","usgsCitation":"Florentine, C., Sass, L., McNeil, C., Baker, E., and O'Neel, S., 2023, How to handle glacier area change in geodetic mass balance: Journal of Glaciology, v. 69, no. 278, p. 2169-2175, https://doi.org/10.1017/jog.2023.86.","productDescription":"7 p.","startPage":"2169","endPage":"2175","ipdsId":"IP-152176","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441382,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2023.86","text":"Publisher Index Page"},{"id":425280,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"278","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":893801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Neel, Shad 0000-0002-9185-0144","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":289666,"corporation":false,"usgs":false,"family":"O'Neel","given":"Shad","affiliations":[{"id":62222,"text":"Cold Regions Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":893805,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251950,"text":"70251950 - 2023 - Satellite-derived prefire vegetation predicts variation in field-based invasive annual grass cover after fire","interactions":[],"lastModifiedDate":"2024-03-07T12:47:38.158193","indexId":"70251950","displayToPublicDate":"2023-12-21T06:44:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-derived prefire vegetation predicts variation in field-based invasive annual grass cover after fire","docAbstract":"

Aims

Invasion by annual grasses (IAGs) and concomitant increases in wildfire are impacting many drylands globally, and an understanding of factors that contribute to or detract from community resistance to IAGs is needed to inform postfire restoration interventions. Prefire vegetation condition is often unknown in rangelands but it likely affects variation in postfire invasion resistance across large burned scars. Whether satellite-derived products like the Rangeland Analysis Platform (RAP) can fulfill prefire information needs and be used to parametrize models of fire recovery to inform postfire management of IAGs is a key question.

Methods

We used random forests to ask how IAG abundances in 669 field plots measured in the 2-3 years following megafires in sagebrush steppe rangelands of western USA responded to RAP estimates of annual:perennial prefire vegetation cover, the effects of elevation, heat load, postfire treatments, soil moisture–temperature regimes, and land-agency ratings of ecosystem resistance to invasion and resilience to disturbance.

Results

Postfire IAG cover measured in the field was 22¯% and RAP-estimated prefire annual herbaceous cover was 15.7¯%. The random forest model had an R2 of 0.36 and a root-mean-squared error (RMSE) of 4.41. Elevation, postfire herbicide treatment, and prefire estimates from RAP for the ratio of annual:perennial and shrub cover were the most important predictors of postfire IAG cover. Threshold-like relationships between postfire IAG cover and the predictors indicate that maintaining annual:perennial cover below 0.4 and shrub cover below <10% prior to wildfire would decrease invasion, at low elevations below 1400 m above sea level.

Conclusion

Despite known differences between RAP and field-based estimates of vegetation cover, RAP was still a useful predictor of variation in IAG abundances after fire. IAG management is oftentimes reactive, but our findings indicate impactful roles for more inclusively addressing the exotic annual community, and focusing on prefire maintenance of annual:perennial herbaceous and shrub cover at low elevations.

","language":"English","publisher":"Wiley","doi":"10.1111/avsc.12759","usgsCitation":"Anthony, C.A., Applestein, C., and Germino, M., 2023, Satellite-derived prefire vegetation predicts variation in field-based invasive annual grass cover after fire: Applied Vegetation Science, v. 26, no. 4, e12759, 11 p., https://doi.org/10.1111/avsc.12759.","productDescription":"e12759, 11 p.","ipdsId":"IP-153942","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":426424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Christopher A 0000-0003-0968-224X","orcid":"https://orcid.org/0000-0003-0968-224X","contributorId":334644,"corporation":false,"usgs":false,"family":"Anthony","given":"Christopher","email":"","middleInitial":"A","affiliations":[{"id":80198,"text":"USFWS (current)","active":true,"usgs":false}],"preferred":false,"id":896157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":896158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":896159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252460,"text":"70252460 - 2023 - Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting","interactions":[],"lastModifiedDate":"2024-03-25T11:45:42.749366","indexId":"70252460","displayToPublicDate":"2023-12-21T06:41:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting","docAbstract":"

Background

Site fidelity, the tendency to return to a previously visited site, is commonly observed in migratory birds. This behaviour would be advantageous if birds returning to the same site, benefit from their previous knowledge about local resources. However, when habitat quality declines at a site over time, birds with lower site fidelity might benefit from a tendency to move to sites with better habitats. As a first step towards understanding the influence of site fidelity on how animals cope with habitat deterioration, here we describe site fidelity variation in two species of sympatric migratory shorebirds (Bar-tailed Godwits Limosa lapponica and Great Knots Calidris tenuirostris). Both species are being impacted by the rapid loss and deterioration of intertidal habitats in the Yellow Sea where they fuel up during their annual long-distance migrations.

Methods

Using satellite tracking and mark-resighting data, we measured site fidelity in the non-breeding (austral summer) and migration periods, during which both species live and co-occur in Northwest Australia and the Yellow Sea, respectively.

Results

Site fidelity was generally high in both species, with the majority of individuals using only one site during the non-breeding season and revisiting the same sites during migration. Nevertheless, Great Knots did exhibit lower site fidelity than Bar-tailed Godwits in both Northwest Australia and the Yellow Sea across data types.

Conclusions

Great Knots encountered substantial habitat deterioration just before and during our study period but show the same rate of decline in population size and individual survival as the less habitat-impacted Bar-tailed Godwits. This suggests that the lower site fidelity of Great Knots might have helped them to cope with the habitat changes. Future studies on movement patterns and their consequences under different environmental conditions by individuals with different degrees of site fidelity could help broaden our understanding of how species might react to, and recover from, local habitat deterioration.

","language":"English","publisher":"Springer","doi":"10.1186/s40462-023-00443-9","usgsCitation":"Chan, Y., Chan, D.T., Tibbitts, T., Hassell, C.J., and Piersma, T., 2023, Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting: Movement Ecology, v. 11, 79, 13 p., https://doi.org/10.1186/s40462-023-00443-9.","productDescription":"79, 13 p.","ipdsId":"IP-151596","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441386,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00443-9","text":"Publisher Index Page"},{"id":426959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Ying-Chi","contributorId":167762,"corporation":false,"usgs":false,"family":"Chan","given":"Ying-Chi","email":"","affiliations":[{"id":24822,"text":"Department of Marine Ecology, NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":897211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chan, David Tsz-Chung","contributorId":334994,"corporation":false,"usgs":false,"family":"Chan","given":"David","email":"","middleInitial":"Tsz-Chung","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":897212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":897213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hassell, Chris J.","contributorId":127818,"corporation":false,"usgs":false,"family":"Hassell","given":"Chris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":897234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":897235,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250626,"text":"dr1186 - 2023 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022","interactions":[],"lastModifiedDate":"2026-02-04T20:19:51.548438","indexId":"dr1186","displayToPublicDate":"2023-12-20T16:01:03","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1186","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2022","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022","docAbstract":"

The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is hydrologically defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift between San Acacia to the south and Cochiti Lake to the north. Drinking-water supplies throughout the basin were obtained primarily from groundwater resources until December 2008, when the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began treatment and distribution of surface water from the Rio Grande through the San Juan-Chama Drinking Water Project.

An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the Albuquerque Basin. In 1983, this network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly. As of water year 2022, the network consisted of 120 wells and piezometers at 54 locations. The USGS, in cooperation with the ABCWUA, the New Mexico Office of the State Engineer, and Bernalillo County, measures water levels at the wells and piezometers in the network; this report, prepared in cooperation with the ABCWUA, presents water-level data collected by USGS personnel at the sites through water year 2022 (October 1, 2021, through September 30, 2022). Water-level data that were collected in previous water years from wells that were later discontinued were published in previous USGS reports.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1186","issn":"2771-9448","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Bell, M.T., and Montero, N.Y., 2023, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022: U.S. Geological Survey Data Report 1186, 42 p., https://doi.org/10.3133/dr1186.","productDescription":"Report: iv, 42 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-153179","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":423823,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":423820,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1186/dr1186.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1186 XML"},{"id":423818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1186/coverthb.jpg"},{"id":423819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1186/dr1186.pdf","size":"3.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1186"},{"id":423821,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1186/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1186 HTML"},{"id":423822,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1186/images"},{"id":499558,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115709.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.82700159405645,\n 34.09776221662605\n ],\n [\n -105.91538050030636,\n 34.09776221662605\n ],\n [\n -105.91538050030636,\n 36.30588569471621\n ],\n [\n -107.82700159405645,\n 36.30588569471621\n ],\n [\n -107.82700159405645,\n 34.09776221662605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey 
6700 Edith Blvd. NE
Albuquerque, NM 87113

Contact Pubs Warehouse
","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-12-20","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Bell, Meghan T. 0000-0003-4993-1642 mtbell@usgs.gov","orcid":"https://orcid.org/0000-0003-4993-1642","contributorId":197069,"corporation":false,"usgs":true,"family":"Bell","given":"Meghan","email":"mtbell@usgs.gov","middleInitial":"T.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montero, N.Y. 0000-0002-2791-3390","orcid":"https://orcid.org/0000-0002-2791-3390","contributorId":295315,"corporation":false,"usgs":true,"family":"Montero","given":"N.Y.","email":"","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70256474,"text":"70256474 - 2023 - Achieving success with RISE: A widely implementable, iterative, structured process for mastering interdisciplinary team science collaborations","interactions":[],"lastModifiedDate":"2024-08-08T10:55:46.557875","indexId":"70256474","displayToPublicDate":"2023-12-20T10:49:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Achieving success with RISE: A widely implementable, iterative, structured process for mastering interdisciplinary team science collaborations","docAbstract":"

Scientific experts from different disciplines often struggle to mesh their specialized perspectives into the shared mindset that is needed to address difficult and persistent environmental, ecological, and societal problems. Many traditional graduate programs provide excellent research and technical skill training. However, these programs often do not teach a systematic way to learn team skills, nor do they offer a protocol for identifying and tackling increasingly integrated interdisciplinary (among disciplines) and transdisciplinary (among researchers and stakeholders) questions. As a result, professionals trained in traditional graduate programs (e.g., current graduate students and employed practitioners) may not have all of the collaborative skills needed to advance solutions to difficult scientific problems. In the present article, we illustrate a tractable, widely implementable structured process called RISE that accelerates the development of these missing skills. The RISE process (Route to Identifying, learning, and practicing interdisciplinary and transdisciplinary team Skills to address difficult Environmental problems) can be used by diverse teams as a tool for research, professional interactions, or training. RISE helps professionals with different expertise learn from each other by repeatedly asking team-developed questions that are tested using an interactive quantitative tool (e.g., agent-based models, machine learning, case studies) applied to a shared problem framework and data set. Outputs from the quantitative tool are then discussed and interpreted as a team, considering all team members’ perspectives, disciplines, and expertise. After this synthesis, RISE is repeated with new questions that the team jointly identified in earlier data interpretation discussions. As a result, individual perspectives, originally informed by disciplinary training, are complemented by a shared understanding of team function and elevated interdisciplinary knowledge.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biad097","usgsCitation":"Mather, M.E., Granco, G., Bergtold, J., Caldas, M., Heier Stamm, J., Sheshukov, A., Sanderson, M., and Daniels, M., 2023, Achieving success with RISE: A widely implementable, iterative, structured process for mastering interdisciplinary team science collaborations: BioScience, v. 73, no. 12, p. 891-905, https://doi.org/10.1093/biosci/biad097.","productDescription":"15 p.","startPage":"891","endPage":"905","ipdsId":"IP-148659","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441388,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biad097","text":"Publisher Index Page"},{"id":432344,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-0827-3006 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-0827-3006","contributorId":340771,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granco, Gabriel","contributorId":340772,"corporation":false,"usgs":false,"family":"Granco","given":"Gabriel","email":"","affiliations":[{"id":66019,"text":"Cal Poly Pomona","active":true,"usgs":false}],"preferred":false,"id":907538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergtold, Jason","contributorId":340773,"corporation":false,"usgs":false,"family":"Bergtold","given":"Jason","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldas, Marcellus","contributorId":340774,"corporation":false,"usgs":false,"family":"Caldas","given":"Marcellus","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heier Stamm, Jessica","contributorId":340775,"corporation":false,"usgs":false,"family":"Heier Stamm","given":"Jessica","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheshukov, Aleksey","contributorId":340776,"corporation":false,"usgs":false,"family":"Sheshukov","given":"Aleksey","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderson, Matthew","contributorId":340777,"corporation":false,"usgs":false,"family":"Sanderson","given":"Matthew","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907543,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Daniels, Melinda","contributorId":340778,"corporation":false,"usgs":false,"family":"Daniels","given":"Melinda","affiliations":[{"id":37456,"text":"Stroud Water Research Center","active":true,"usgs":false}],"preferred":false,"id":907544,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70264990,"text":"70264990 - 2023 - The species status assessment: A framework for assessing species status and risk to support endangered species management decisions","interactions":[],"lastModifiedDate":"2025-06-16T15:39:44.034151","indexId":"70264990","displayToPublicDate":"2023-12-20T10:35:54","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The species status assessment: A framework for assessing species status and risk to support endangered species management decisions","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The codex of the Endangered Species Act, volume II","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Bloomsbury Publishing","usgsCitation":"McGowan, C., Allan, N., and Smith, D.R., 2023, The species status assessment: A framework for assessing species status and risk to support endangered species management decisions, chap. of The codex of the Endangered Species Act, volume II, p. 87-102.","productDescription":"16 p.","startPage":"87","endPage":"102","ipdsId":"IP-138969","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":490777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Volume II","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":932174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allan, Nathan","contributorId":340757,"corporation":false,"usgs":false,"family":"Allan","given":"Nathan","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":932175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R. 0000-0001-9560-5210 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-9560-5210","contributorId":329849,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932176,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274733,"text":"70274733 - 2023 - Integrating social and environmental science in decision making for endangered species management","interactions":[],"lastModifiedDate":"2026-04-09T15:37:44.520905","indexId":"70274733","displayToPublicDate":"2023-12-20T10:32:08","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Integrating social and environmental science in decision making for endangered species management","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The codex of the endangered species act, volume II: The next fifty years","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Bloomsbury","usgsCitation":"Riley, S.J., and Fuller, A.K., 2023, Integrating social and environmental science in decision making for endangered species management, chap. 12 of The codex of the endangered species act, volume II: The next fifty years, p. 238-249.","productDescription":"12 p.","startPage":"238","endPage":"249","ipdsId":"IP-148881","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Shawn J.","contributorId":202177,"corporation":false,"usgs":false,"family":"Riley","given":"Shawn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":958882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958883,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250792,"text":"70250792 - 2023 - Nitrate-nitrogen and total phosphorus river loads","interactions":[],"lastModifiedDate":"2024-01-09T16:09:43.991087","indexId":"70250792","displayToPublicDate":"2023-12-20T09:47:37","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Nitrate-nitrogen and total phosphorus river loads","docAbstract":"Nitrate-nitrogen and total phosphorus loads from the major rivers draining Illinois were updated through the 2021 water year (Figure 3.1). Beginning with the 2023 biennial update to the Illinois NLRS, nutrient loads were estimated using data from the U.S. Geological Survey continuous monitoring stations rather than the original Illinois EPA monitoring stations. To maintain consistency with previous biennial report updates, the loads from the new sites were rescaled to match the original drainage areas (Table 3.1). 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In summer and early fall (June to September) 2020, water-quality data were collected at 13 stations along the mainstem of the Merrimack River and into the Merrimack River estuary. The data are allocated among three different datasets: discrete water sample data, discrete vertical profile data, and continuous data. The collective purpose of these datasets is to enable assessment of the overall water-quality conditions in the Merrimack River and estuary and to identify areas for potentially more targeted water-quality monitoring in the future.

The highest concentrations of nutrients—nitrogen and phosphorus—were found at the stations downstream from wastewater treatment plants in Lowell, Lawrence, and Haverhill. Nutrient concentrations measured in the Merrimack River estuary were not as high as those measured in the Merrimack River, indicating that other processes are affecting nutrient concentrations in the system. These data were collected coincident with a severe flash drought in New England. Analysis of the vertical profile and continuous data indicated that, for intermittent periods up to 5 days, water quality in some sections of the Merrimack River may not support designated uses for the waterbody as established in the Massachusetts surface water quality standards.

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Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-12-20","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Laabs, Kaitlin L. 0000-0002-7798-3485","orcid":"https://orcid.org/0000-0002-7798-3485","contributorId":210817,"corporation":false,"usgs":true,"family":"Laabs","given":"Kaitlin L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaudoin, Casey 0000-0001-9021-0447","orcid":"https://orcid.org/0000-0001-9021-0447","contributorId":332585,"corporation":false,"usgs":true,"family":"Beaudoin","given":"Casey","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sorenson, Jason R. 0000-0001-5553-8594","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":203249,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bissell, Alex 0000-0003-1379-2468","orcid":"https://orcid.org/0000-0003-1379-2468","contributorId":332586,"corporation":false,"usgs":true,"family":"Bissell","given":"Alex","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890554,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250795,"text":"70250795 - 2023 - Total shortening estimates across the western Greater Caucasus Mountains from balanced cross sections and area balancing","interactions":[],"lastModifiedDate":"2024-01-05T13:00:22.667716","indexId":"70250795","displayToPublicDate":"2023-12-20T06:54:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14442,"text":"Tektonika","active":true,"publicationSubtype":{"id":10}},"title":"Total shortening estimates across the western Greater Caucasus Mountains from balanced cross sections and area balancing","docAbstract":"

The Greater Caucasus orogen forms the northern edge of the Arabia-Eurasia collision zone. Although the orogen has long been assumed to exhibit dominantly thick-skinned style deformation via reactivation of high-angle extensional faults, recent work suggests the range may have accommodated several hundred kilometers or more of shortening since its ~30 Ma initiation, and this shortening may be accommodated via thin-skinned, imbricate fan-style deformation associated with underthrusting and/or subduction. However, robust shortening estimates based upon surface geologic observations are lacking. Here we present line-length and area balanced cross sections along two transects across the western Greater Caucasus that provide minimum shortening estimates of 130-200 km. These cross sections demonstrate that a thin-skinned structural style provides a viable explanation for the structure of the Greater Caucasus, and highlight major structures that may accommodate additional, but unconstrained, shortening.

","language":"English","publisher":"Tektonika","doi":"10.55575/tektonika2023.1.2.50","usgsCitation":"Trexler, C.C., Cowgill, E.S., Vasey, D.A., and Niemi, N.A., 2023, Total shortening estimates across the western Greater Caucasus Mountains from balanced cross sections and area balancing: Tektonika, v. 1, no. 2, p. 198-208, https://doi.org/10.55575/tektonika2023.1.2.50.","productDescription":"11 p.","startPage":"198","endPage":"208","ipdsId":"IP-152847","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":441391,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.55575/tektonika2023.1.2.50","text":"Publisher Index Page"},{"id":424130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Greater Caucasus Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 39.05209872803812,\n 44.42730017114036\n ],\n [\n 39.05209872803812,\n 38.36900156254285\n ],\n [\n 50.917333103038374,\n 38.36900156254285\n ],\n [\n 50.917333103038374,\n 44.42730017114036\n ],\n [\n 39.05209872803812,\n 44.42730017114036\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trexler, Charles Cashman 0000-0001-5046-9729","orcid":"https://orcid.org/0000-0001-5046-9729","contributorId":257823,"corporation":false,"usgs":true,"family":"Trexler","given":"Charles","email":"","middleInitial":"Cashman","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowgill, Eric S. 0000-0001-6017-4748","orcid":"https://orcid.org/0000-0001-6017-4748","contributorId":332616,"corporation":false,"usgs":false,"family":"Cowgill","given":"Eric","email":"","middleInitial":"S.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":891503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasey, Dylan A 0000-0002-2182-4733","orcid":"https://orcid.org/0000-0002-2182-4733","contributorId":293645,"corporation":false,"usgs":false,"family":"Vasey","given":"Dylan","email":"","middleInitial":"A","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":891504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niemi, Nathan A. 0000-0002-3380-3024","orcid":"https://orcid.org/0000-0002-3380-3024","contributorId":332951,"corporation":false,"usgs":false,"family":"Niemi","given":"Nathan","email":"","middleInitial":"A.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":891505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250593,"text":"pp1842LL - 2023 - The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus)","interactions":[{"subject":{"id":70250593,"text":"pp1842LL - 2023 - The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus)","indexId":"pp1842LL","publicationYear":"2023","noYear":false,"chapter":"LL","displayTitle":"The Effects of Management Practices on Grassland Birds—Bobolink (Dolichonyx oryzivorus)","title":"The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2024-06-26T14:36:14.181107","indexId":"pp1842LL","displayToPublicDate":"2023-12-19T13:44:15","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"LL","displayTitle":"The Effects of Management Practices on Grassland Birds—Bobolink (Dolichonyx oryzivorus)","title":"The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus)","docAbstract":"

Keys to Bobolink (Dolichonyx oryzivorus) management are providing large areas of suitable habitat (for example, native or tame grasslands of moderate vegetative height and density, low shrub density, and moderate litter and forb cover), and protecting nesting habitat from disturbance during the breeding season. Bobolinks have been reported to use habitats with 10–166 centimeters (cm) average vegetation height, 6–75 cm visual obstruction reading, 17–65 percent grass cover, 3–50 percent forb cover, less than or equal to (≤) 22 percent shrub cover, ≤38 percent bare ground, 5–39 percent litter cover, and ≤9 cm litter depth.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842LL","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Zimmerman, A.L., Wooten, T.L., and Euliss, B.R., 2023, The effects of management practices on grassland birds—Bobolink (Dolichonyx oryzivorus), chap. LL of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 44 p., https://doi.org/10.3133/pp1842LL.","productDescription":"v, 44 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-097127","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":423745,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/ll/coverthb.jpg"},{"id":423746,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/ll/pp1842ll.pdf","text":"Report","size":"2.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–LL"}],"contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, North Dakota 58401

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":214803,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":220514,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":221269,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Amy L.","contributorId":217210,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890493,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooten, Travis L.","contributorId":215633,"corporation":false,"usgs":false,"family":"Wooten","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":890495,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250607,"text":"ofr20231076 - 2023 - Preliminary geologic map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California","interactions":[],"lastModifiedDate":"2026-02-11T21:44:26.272299","indexId":"ofr20231076","displayToPublicDate":"2023-12-19T13:22:44","publicationYear":"2023","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":"2023-1076","displayTitle":"Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California","title":"Preliminary geologic map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California","docAbstract":"

This investigation delineates the geologic framework of an area of 75 square kilometers (km2) located west of the Salton Sea in southern California (fig. 1, on sheet 1). The study area encompasses the south flank of the Santa Rosa Mountains and the eastern part of the Borrego Badlands (sheet 1). In this study area, regionally important stratigraphic and structural elements collectively inform the late Cenozoic geologic evolution of the Anza-Borrego sector of the Salton Trough province. Critical stratigraphic and structural elements in the map area include the following:

  1. The well exposed sequence of late Cenozoic, nonmarine sedimentary rocks that filled the Anza-Borrego subbasin (fig. 1) of the Salton Trough;
  2. A tectonic boundary that—in the southern Santa Rosa Mountains—separates the sedimentary strata from underlying crystalline rocks of Peninsular Ranges type. This tectonic boundary, named the West Salton Detachment Fault System by Axen and Fletcher (1998), is projected to underlie all late Cenozoic sedimentary strata in the Anza-Borrego subbasin of the Salton Trough;
  3. A variety of transpressional, transtensional, and strike-slip structures that have deformed the late Cenozoic sedimentary strata and collectively guided syntectonic and posttectonic depositional events within the Anza-Borrego subbasin of the Salton Trough; and
  4. The southeasternmost surface expression of the Clark Fault, a major strand of the dextral San Jacinto Fault Zone.

Geologic mapping and analysis for this investigation focused on clarifying geologic relations among these four stratigraphic and structural aspects in the map area.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231076","usgsCitation":"Pettinga, J.R., Dudash, S.L., and Cossette, P.M., 2023, Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California: U.S. Geological Survey Open-File Report 2023–1076, scale 1:12,000, https://doi.org/10.3133/ofr20231076.","productDescription":"2 Plates: 70.66 x 31.92 inches and 51.22 x 32.64 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-100617","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":423753,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2023/1076/ofr20231076_sheet1.pdf","text":"Sheet 1","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":423752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1076/covrthb.jpg"},{"id":499789,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115708.htm","linkFileType":{"id":5,"text":"html"}},{"id":423768,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L8YSQX","text":"USGS Data Release","linkHelpText":"Digital Database for the Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California"},{"id":423754,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2023/1076/ofr20231076_sheet2.pdf","text":"Sheet 2","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Borrego Badlands, southern Santa Rosa Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.208333,\n 33.316667\n ],\n [\n -116.208333,\n 33.25\n ],\n [\n -116.083333,\n 33.25\n ],\n [\n -116.083333,\n 33.316667\n ],\n [\n -116.208333,\n 33.316667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Pettinga, Jarg R. 0000-0002-5299-3265","orcid":"https://orcid.org/0000-0002-5299-3265","contributorId":329743,"corporation":false,"usgs":false,"family":"Pettinga","given":"Jarg","email":"","middleInitial":"R.","affiliations":[{"id":78707,"text":"University of Canterbury Christchurch, New Zealand","active":true,"usgs":false}],"preferred":true,"id":890545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudash, Stephanie L. 0000-0001-8728-5915 sdudash@usgs.gov","orcid":"https://orcid.org/0000-0001-8728-5915","contributorId":5911,"corporation":false,"usgs":true,"family":"Dudash","given":"Stephanie","email":"sdudash@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cossette, Pamela M. 0000-0002-9608-6595 pcossette@usgs.gov","orcid":"https://orcid.org/0000-0002-9608-6595","contributorId":1458,"corporation":false,"usgs":true,"family":"Cossette","given":"Pamela","email":"pcossette@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890547,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250591,"text":"fs20233050 - 2023 - Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2026-02-09T17:53:25.96033","indexId":"fs20233050","displayToPublicDate":"2023-12-19T10:15:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3050","displayTitle":"Your Land, Your Water: Using Research to Guide Conservation Practices on Local Farms in the Chesapeake Bay Watershed","title":"Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed","docAbstract":"

Agricultural lands are an important part of the economy and heritage of the Chesapeake Bay watershed and are a focus of conservation activities. Streams and rivers around farms provide communities with drinking water and recreational opportunities, but these local benefits can be impaired by elevated nutrient and sediment concentrations. Compared to inputs from the atmosphere, wastewater, and urban and suburban areas, agricultural lands are the largest source of nutrients and sediment in many Chesapeake Bay streams. Farmers are voluntary conservation partners and have an important role in improving water-quality conditions. This fact sheet summarizes recent scientific insights from the U.S. Geological Survey (USGS) that can help farmers use conservation practices and their knowledge of local site conditions to achieve cleaner water.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233050","usgsCitation":"Webber, J.S., Clune, J.W., Soroka, A.M., and Hyer, K.E., 2023, Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed: U.S. Geological Survey Fact Sheet 2023–3050, 4 p., https://doi.org/10.3133/fs20233050.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-155220","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":423707,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3050/coverthb.jpg"},{"id":423708,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3050/fs20233050.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3050"},{"id":499698,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115710.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1904296875,\n 38.41916639395372\n ],\n [\n -75.223388671875,\n 38.64261790634527\n ],\n [\n -75.35522460937499,\n 38.79690830348427\n ],\n [\n -75.498046875,\n 38.87392853923629\n ],\n [\n 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Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228

Contact Pubs Warehouse

","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":205148,"corporation":false,"usgs":true,"family":"Clune","given":"John W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soroka, Alexander M. 0000-0002-8002-5229","orcid":"https://orcid.org/0000-0002-8002-5229","contributorId":201664,"corporation":false,"usgs":true,"family":"Soroka","given":"Alexander","email":"","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyer, Kenneth 0000-0002-7156-7472 kenhyer@usgs.gov","orcid":"https://orcid.org/0000-0002-7156-7472","contributorId":173409,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth","email":"kenhyer@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":890483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250606,"text":"ofr20231090 - 2023 - Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022","interactions":[],"lastModifiedDate":"2026-02-18T21:58:29.869066","indexId":"ofr20231090","displayToPublicDate":"2023-12-19T10:10:34","publicationYear":"2023","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":"2023-1090","displayTitle":"Influence of a Guide Net on the Presence and Behavior of Fish Near the Selective Water Withdrawal Structure in Lake Billy Chinook, Oregon, 2022","title":"Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022","docAbstract":"

Imaging sonar was used to assess the influence of a fish guidance net, installed at the entrances to the selective water withdrawal (SWW) intake structure, in the forebay of Round Butte Dam, Oregon, on behavior, abundance, and timing of fish during the spring of 2022. The purposes of the SWW are (1) to direct surface currents in the forebay to attract and collect downriver migrating juvenile salmonid smolts (Chinook salmon [Oncorhynchus tshawytscha], sockeye salmon [O. nerka], and steelhead [O. mykiss]) from Lake Billy Chinook and (2) to enable operators of the SWW to withdraw water from surface and benthic elevations in the reservoir to manage downriver water temperatures. Part of the evaluation to determine how well the structure performs at collecting juvenile salmonids is (1) to regularly assess how fish are approaching the entrance, and (2) determine if operational flows and the installation of a guidance (lead) net near the SWW structure entrance can be optimized to increase the attraction of smolts present in the forebay of Lake Billy Chinook. The goal of this study was to provide data about the effects of the installation of a lead net on the movements and behaviors of juvenile salmonids near the entrance to the SWW to help inform decisions to improve downstream passage solutions.

Two imaging sonar units were deployed during the spring 2022 smolt out-migration period. One unit monitored fish movements near the south entrance and one unit monitored movements near the north entrance of the SWW, with the lead net between the two entrances. Both smolt and bull trout (Salvelinus confluentus)-size fish were regularly observed near the entrances, with greater abundances observed at night, corresponding with greater discharge through the SWW, as opposed to during the day when discharge was reduced. Smolt-size fish groups were primarily observed near the interior halves of each SWW entrance, and greater abundances of fish were observed at the south entrance. Increased counts of bull trout-size fish coincided with the increased abundances of smolt-size fish. Overall, the results indicate that (1) smolt-size fish were more abundant near the entrance of the SWW during periods of increased discharge, (2) bull trout-size fish were present at the SWW, and (3) a greater percentage of smolt-size fish were observed directed toward the entrances of the SWW during periods of increased discharge. The addition of the lead net may assist in orienting fish toward the entrances to the SWW.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231090","collaboration":"Prepared in cooperation with Portland General Electric","usgsCitation":"Smith, C.D., and Hatton, T.W., 2023, Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022: U.S. Geological Survey Open-File Report 2023–1090, 25 p., https://doi.org/10.3133/ofr20231090.","productDescription":"vii, 25 p.","onlineOnly":"Y","ipdsId":"IP-155570","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":423749,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231090/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1090"},{"id":423751,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.XML"},{"id":423750,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1090/Images"},{"id":423747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.jpg"},{"id":423748,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1090"},{"id":500154,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115707.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Billy Chinook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.64591331853623,\n 44.79048612033958\n ],\n [\n -121.64591331853623,\n 44.35814579483878\n ],\n [\n -121.03356092450966,\n 44.35814579483878\n ],\n [\n -121.03356092450966,\n 44.79048612033958\n ],\n [\n -121.64591331853623,\n 44.79048612033958\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":7915,"corporation":false,"usgs":true,"family":"Smith","given":"Collin D.","email":"cdsmith@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":890543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatton, Tyson W. 0000-0002-2874-0719","orcid":"https://orcid.org/0000-0002-2874-0719","contributorId":9112,"corporation":false,"usgs":true,"family":"Hatton","given":"Tyson W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":890544,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70257399,"text":"70257399 - 2023 - An amplicon genotyping panel suitable for species identification and population genetics in sauger (Sander canadensis) and walleye (Sander vitreus)","interactions":[],"lastModifiedDate":"2024-08-30T14:57:39.679975","indexId":"70257399","displayToPublicDate":"2023-12-19T07:49:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"An amplicon genotyping panel suitable for species identification and population genetics in sauger (Sander canadensis) and walleye (Sander vitreus)","docAbstract":"

Sauger (Sander canadensis) and walleye (Sander vitreus) are closely related North American fish species that are often managed by fishery agencies throughout their ranges. However, genotyping resources for sauger are presently limited to a small set of microsatellite loci. We evaluated whether primers in an existing walleye genotyping-in-thousands panel could amplify single nucleotide polymorphism loci (SNPs) in sauger. We identified 71 primer pairs that amplify 118 SNPs in both species. Allele frequency differences were large enough to confidently distinguish the species and identify hybrids. Additionally, we identified 41 loci with observed heterozygosity > 0.1 in sauger; these markers may be useful for simple population genetic analyses and parentage analysis when few contributors are present and for differentiating highly structured populations.

","language":"English","publisher":"Springer Link","doi":"10.1007/s12686-023-01329-z","usgsCitation":"Homola, J.J., Larson, W., and Albosta, P., 2023, An amplicon genotyping panel suitable for species identification and population genetics in sauger (Sander canadensis) and walleye (Sander vitreus): Conservation Genetics Resources, v. 16, p. 103-110, https://doi.org/10.1007/s12686-023-01329-z.","productDescription":"8 p.","startPage":"103","endPage":"110","ipdsId":"IP-147654","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467066,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s12686-023-01329-z","text":"External Repository"},{"id":433368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, 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\"}}]}","volume":"16","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Homola, Jared Joseph 0000-0003-3821-7224","orcid":"https://orcid.org/0000-0003-3821-7224","contributorId":303741,"corporation":false,"usgs":true,"family":"Homola","given":"Jared","email":"","middleInitial":"Joseph","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley A.","contributorId":342639,"corporation":false,"usgs":false,"family":"Larson","given":"Wesley A.","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":910251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albosta, Paul","contributorId":342642,"corporation":false,"usgs":false,"family":"Albosta","given":"Paul","email":"","affiliations":[{"id":81904,"text":"University of Wisconsin – Stevens Point,","active":true,"usgs":false}],"preferred":false,"id":910252,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250610,"text":"70250610 - 2023 - Examining the complex relations between climate and streamflow in the mid-atlantic region of the United States","interactions":[],"lastModifiedDate":"2023-12-20T12:41:47.680366","indexId":"70250610","displayToPublicDate":"2023-12-19T06:39:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Examining the complex relations between climate and streamflow in the mid-atlantic region of the United States","docAbstract":"

We explored the complex relations between climate and streamflow in the Mid-Atlantic region of the United States. In 124 watersheds across this region, we quantified spatial and temporal variation in air temperature (AT), precipitation (P), and streamflow (Q) from 1981 through 2020. Upward directional trends in monthly values of AT, P, and Q indicated an increase of 0.27–1.9 degrees Celsius, 0.12–1.9 millimeters day−1, and 0.01–7.1 cubic meters s−1 day−1, respectively, over the 40-year period. Comparison of the first 20 years to the last 20 years of data indicated an acceleration in the trend slopes in AT, P, and Q. Changes also were observed in temporal trends in the center of volume (CV) of both P and Q, which generally occurred later in the year; the 7-day mean low flow increased, and the annual day of occurrence of the 7-day mean low flow occurred earlier in the year. Principal components analysis revealed differences in P, Q, CVP, and CVQ trends in watersheds with median elevations greater than and less than 400 meters, as well as by latitude. A seasonal analysis revealed that P increased throughout the study area in spring, summer, and fall but decreased in winter. AT, P, and Q have broadly increased across the region over the 40-year period, and the temporal, spatial, and seasonal changes in P have affected Q. Results highlight the strong couplings between climatic variability and watershed responses.

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