The extrusion rate of a lava dome is a critical parameter for monitoring silicic eruptions and forecasting their development. Satellite radar backscatter can provide unique information about dome growth during a volcanic eruption when other datasets (e.g., optical, thermal, ground-based measurements, etc.) may be limited. Here, we present an approach for estimating volcanic topography from individual backscatter images. Using data from multiple SAR sensors we apply the method to the dome growth during the 2021 eruption at La Soufrière, St. Vincent. We measure an average extrusion rate of 1.8 m3s−1 between December 2020 and March 2021 before an acceleration in extrusion rate to 17.5 m3s−1 in the 2 days prior to the explosive eruption on 9 April 2021. We estimate a final dome volume of 19.4 million m3, extrapolated from the SAR sensors, with approximately 15% of the total extruded volume emplaced in the last 2 days. A possible explanation for the acceleration in extrusion rate could be the combined emptying of a conduit and reservoir of older material before the ascent of gas-rich magma in April 2021.
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2023 - Characterizing historic streamflow to support drought planning in the upper Missouri River basin","interactions":[],"lastModifiedDate":"2026-03-18T16:13:50.675788","indexId":"70239888","displayToPublicDate":"2023-02-01T11:07:46","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Characterizing historic streamflow to support drought planning in the upper Missouri River basin","docAbstract":"This project combined tree-ring based paleo and modern climate and hydrologic research aimed at understanding the primary influences on drought risk and water reliability in basins critical for western U.S. water resources. New paleohydrologic datasets and analyses were developed and applied to contextualize future streamflow projections and address specific water management questions. These questions centered around optimizing future water management protocols for numerous objectives ranging from improving agricultural water allocation during drought while maintaining instream flows for aquatic ecosystem health, to the testing of operations across large river systems with complex infrastructure critical for downstream flood control, navigation, and hydropower generation. USGS scientists worked closely with the Bureau of Reclamation to estimate both past and future drought risk at key management locations throughout the Missouri basin, the Milk and St. Mary River system, and across the major managed river systems in the western United States. These efforts provided a roadmap for future water management strategies under changing climate and water supply conditions, which are detailed in Reclamation’s newly completed Missouri Headwaters Basin Study, the 2021 SECURE Water Act Report, and the forthcoming update of the St. Mary and Milk Rivers Basin Study. Among the major scientific findings to emerge was a new understanding of the long-term (1200-year) history of drought variability for the Missouri River, which highlighted the unusual severity of the early 2000s drought across the Rocky Mountain headwaters and adjacent high plains. By combining the extended drought record with extensive modern and paleoclimate records, we document how warming exacerbates severities of naturally occurring droughts, with recent decades defined by “hot” droughts and the 2000s (2001-2010) drought ranking as the most severe event in 1200 years. 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","language":"English","publisher":"The Raptor Research Foundation, Inc.","doi":"10.3356/JRR-22-98","usgsCitation":"Boal, C.W., 2023, Scavenging of roadkill by Mississippi Kites (Ictinia mississippiensis): Journal of Raptor Research, v. 57, no. 1, p. 121-122, https://doi.org/10.3356/JRR-22-98.","productDescription":"2 p.","startPage":"121","endPage":"122","ipdsId":"IP-146116","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908221,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70243205,"text":"70243205 - 2023 - Buzzards Bay salt marshes: Vulnerability and adaptation potential","interactions":[],"lastModifiedDate":"2023-05-09T15:51:21.1177","indexId":"70243205","displayToPublicDate":"2023-02-01T10:46:17","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Buzzards Bay salt marshes: Vulnerability and adaptation potential","docAbstract":"Salt marshes with lush grass meadows teeming with shorebirds are iconic features of the Buzzards Bay coast and provide opportunities for recreation, aesthetic enjoyment, as well as important environmental benefits. These productive coastal wetlands are important because they protect properties from storm surges, remove nutrients from the water and carbon from the atmosphere, and provide critical habitats for fish, shellfish, and birds.
Found where the land meets the sea, salt marshes are naturally dynamic features that change with rising seas, waves, ice, and storms. In the past, humans purposely altered salt marshes by filling them to create buildable land or digging drainage ditches. These major alterations harmed marsh structure and health. In recent decades, however, marshes are degrading because of more diffuse and complex pressures such as nutrient pollution, sea level rise, major storms, and crab overgrazing. As a result, at many places along the East Coast, marshes have crumbling banks and large areas where the plants have died, leaving behind mudflats. The Buzzards Bay Coalition and the Buzzards Bay National Estuary Program began field monitoring of salt marshes around Buzzards Bay in 2019 to document changes (map below shows sites). We partnered with the U.S. Geological Survey and the Woodwell Climate Research Center to use aerial tools to investigate how different characteristics of the long-term marsh sites and their watersheds affect the marsh’s current health and likely future. This report brings together the results of on the ground monitoring with data from aerial imagery to look at marsh status at 12 long-term monitoring sites based on existing stressors, current marsh conditions, and potential for adaptation.
","language":"English","publisher":"Buzzards Bay Coalition","usgsCitation":"Jakuba, R.W., Besterman, A., Hoffart, L., Costa, J.E., Ganju, N., and Deegan, L., 2023, Buzzards Bay salt marshes: Vulnerability and adaptation potential, 32 p.","productDescription":"32 p.","ipdsId":"IP-136385","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416865,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.savebuzzardsbay.org/about-us/publications/special-reports/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"Buzzards Bay salt marshes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.94176987700817,\n 41.41975469591827\n ],\n [\n -70.85599792880063,\n 41.42970016011691\n ],\n [\n -70.81532257191841,\n 41.450912058997574\n ],\n [\n -70.76934173370435,\n 41.472117024369965\n ],\n [\n -70.67738005727534,\n 41.509209028100685\n ],\n [\n -70.64554716928006,\n 41.53502841303356\n ],\n [\n -70.60045057795479,\n 41.73329455348431\n ],\n [\n -70.60045103343215,\n 41.77287411335024\n ],\n [\n -70.64466337786867,\n 41.76891720855332\n ],\n [\n -70.73043532607704,\n 41.76034307750683\n ],\n [\n -70.76757369540417,\n 41.73395394949611\n ],\n [\n -70.78525863317893,\n 41.66463088626202\n ],\n [\n -70.83742919961446,\n 41.66330972174504\n ],\n [\n -70.92231690093321,\n 41.6672731339705\n ],\n [\n -70.97448746736875,\n 41.6051516478891\n ],\n [\n -71.02931077447062,\n 41.53238027247775\n ],\n [\n -71.03638474958088,\n 41.50987071949933\n ],\n [\n -70.94176987700817,\n 41.41975469591827\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jakuba, R. 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At the time of writing this report, Hilcorp Alaska, LLC, has received BOEM approval for an oil and gas Development and Production Plan (DPP) that includes the construction of the Liberty Drilling Island (LDI) in Foggy Island Bay, situated within Stefansson Sound circa 30 km east of Prudhoe Bay (Figure 1.1). The aim of this study is to investigate how longer periods of open water (defined as < 15% ice cover), decreased sea ice cover, and changes in ocean and atmospheric conditions might affect wave and storm surge conditions, sediment transport patterns, and coastal erosion rates within Foggy Island Bay as well as the modeled influence of the offshore artificial island on sediment transport patterns.
","language":"English","publisher":"Bureau of Ocean and Energy Management (BOEM)","usgsCitation":"Kasper, J., Erikson, L.H., Ravens, T.M., Bieniek, P., Engelstad, A.C., Nederhoff, C.M., Duvoy, P.X., Fisher, S., Petrone Brown, E., Man, Y., and Reguero, B., 2023, Central Beaufort Sea Wave and Hydrodynamic Modeling Study--Report 1: Field measurements and model development: OCS Study BOEM 2022-078, 237 p.","productDescription":"237 p.","ipdsId":"IP-147574","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491592,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://espis.boem.gov/final%20reports/BOEM_2022-078.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"Alaska","otherGeospatial":"Foggy Island Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.1264407994926,\n 70.38809275423353\n ],\n [\n -148.1264407994926,\n 70.1602757990535\n ],\n [\n -147.44324429215112,\n 70.1602757990535\n ],\n [\n -147.44324429215112,\n 70.38809275423353\n ],\n [\n -148.1264407994926,\n 70.38809275423353\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Kasper, Jeremy L. 0000-0003-0975-6114","orcid":"https://orcid.org/0000-0003-0975-6114","contributorId":208630,"corporation":false,"usgs":false,"family":"Kasper","given":"Jeremy L.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":941730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 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University of Alaska Fairbanks, Fairbanks, AK, USA","active":true,"usgs":false}],"preferred":false,"id":942269,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Stephanie","contributorId":357710,"corporation":false,"usgs":false,"family":"Fisher","given":"Stephanie","affiliations":[],"preferred":false,"id":942270,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petrone Brown, Eloise","contributorId":357552,"corporation":false,"usgs":false,"family":"Petrone Brown","given":"Eloise","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":942271,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Man, Yaman","contributorId":357553,"corporation":false,"usgs":false,"family":"Man","given":"Yaman","affiliations":[{"id":37194,"text":"University of Alaska 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Methods of reducing exotic annual grasses and restoring native perennials are needed, particularly testing of their intended target or unintended, non-target effects. In a series of experiments arrayed across different site and plant-community conditions on Idaho Transportation Department right-of-ways, the effects of chemical or biological herbicides, site preparation and co-treatments such as raking, and/or seeding were evaluated over 3 years. Strains of the soil bacterium Pseudomonas fluorescens that are supposedly weed-suppressive were generally ineffective, and resulted in relatively weak effects at a small proportion of plots and only at one site, but also resulted in highly undesirable non-target effects at another site. The chemical herbicides imazapic and especially indaziflam (Rejuvra) tended to have more consistent and stronger effects, and indaziflam furthermore provided a longer period of control, although additional years of observation would be required to assess its endurance. Seeding effects were weak, and preparation of seed beds through raking was not effective. In conclusion, indaziflam appeared to be the most effective tool for reducing cheatgrass, but techniques for increasing perennials after its application are needed.
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Each algorithm was applied to time series of Landsat observations collected within two separate years at six locations around the world, to produce monthly (July 1 ± 15 days), seasonal (July 1 ± 45 days), and annual (July 1 ± 180 days) composite images free of cloud, cloud shadow, and snow/ice. By comparing the composite images to reference Landsat images acquired in the growing season (closest to July 1 within ±15 days) for each year, we evaluated the performance of the algorithms in preserving the spectral and spatial fidelity (hereafter referred to as spectral and spatial evaluation, respectively), as well as land cover classification and land change detection (hereafter referred to as application evaluation). The results demonstrated that no single algorithm outperformed all other algorithms in all the evaluations, but that performance depended on compositing intervals and cloud cover. For monthly composites, the MAX-RNB algorithm generally produced the best results in the spectral and application evaluations. For seasonal composites, the NLCD algorithm produced the best results in the spectral and application evaluations. For annual composites, the PAC algorithm produced the best results in the spectral evaluation and change detection, whereas BAP produced the best results in land cover classification. The BAP algorithm also produced the best results in the spatial evaluation for all the compositing periods. This study provides a comprehensive guidance for selecting the most appropriate image compositing algorithm for different Landsat-based applications.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2022.113375","usgsCitation":"Qiu, S., Zhu, Z., Olofsson, P., Woodcock, C., and Jin, S., 2023, Evaluation of Landsat image compositing algorithms: Remote Sensing of Environment, v. 285, 113375, 23 p., https://doi.org/10.1016/j.rse.2022.113375.","productDescription":"113375, 23 p.","ipdsId":"IP-140731","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":444635,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2022.113375","text":"Publisher Index Page"},{"id":413857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"285","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Qiu, Shi","contributorId":302924,"corporation":false,"usgs":false,"family":"Qiu","given":"Shi","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":865843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Zhe 0000-0001-8283-6407","orcid":"https://orcid.org/0000-0001-8283-6407","contributorId":190828,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[],"preferred":false,"id":865844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olofsson, Pontus","contributorId":131007,"corporation":false,"usgs":false,"family":"Olofsson","given":"Pontus","email":"","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":865845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodcock, Curtis","contributorId":166666,"corporation":false,"usgs":false,"family":"Woodcock","given":"Curtis","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":865846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":865847,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70245098,"text":"70245098 - 2023 - Equilibrated gas and carbonate standard-derived dual (Δ47 and Δ48) clumped isotope values","interactions":[],"lastModifiedDate":"2023-06-15T13:49:07.668","indexId":"70245098","displayToPublicDate":"2023-02-01T08:43:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Equilibrated gas and carbonate standard-derived dual (Δ47 and Δ48) clumped isotope values","title":"Equilibrated gas and carbonate standard-derived dual (Δ47 and Δ48) clumped isotope values","docAbstract":"Carbonate clumped isotope geochemistry has primarily focused on mass spectrometric determination of m/z 47 CO2 for geothermometry, but theoretical calculations and recent experiments indicate paired analysis of the m/z 47 (13C18O16O) and m/z 48 (12C18O18O) isotopologues (referred to as Δ47 and Δ48) can be used to study non-equilibrium isotope fractionations and refine temperature estimates. We utilize 5,448 Δ47 and 3,400 Δ48 replicate measurements of carbonate samples and standards, and 183 Δ47 and 195 Δ48 replicate measurements of gas standards from 2015 to 2021 from a multi-year and multi-instrument data set to constrain Δ47 and Δ48 values for 27 samples and standards, including Devils Hole cave calcite, and study equilibrium Δ47-Δ48, Δ47-temperature, and Δ48-temperature relationships. We compare results to previously published findings and calculate equilibrium regressions based on data from multiple laboratories. We report acid digestion fractionation factors, Δ*63-47 and Δ*64-48, and account for their dependence on the initial clumped isotope values of the mineral.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GC010458","usgsCitation":"Lucarelli, J.K., Carroll, H.M., Ulrich, R.N., Elliott, B.M., Coplen, T.B., Eagle, R.A., and Tripati, A.K., 2023, Equilibrated gas and carbonate standard-derived dual (Δ47 and Δ48) clumped isotope values: Geochemistry, Geophysics, Geosystems, v. 24, no. 2, e2022GC010458, 21 p., https://doi.org/10.1029/2022GC010458.","productDescription":"e2022GC010458, 21 p.","ipdsId":"IP-133724","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":444637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gc010458","text":"Publisher Index Page"},{"id":418127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lucarelli, Jamie K 0000-0002-9104-2518","orcid":"https://orcid.org/0000-0002-9104-2518","contributorId":310346,"corporation":false,"usgs":false,"family":"Lucarelli","given":"Jamie","email":"","middleInitial":"K","affiliations":[{"id":67149,"text":"Univ California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carroll, Hannah M. 0000-0003-3343-3358","orcid":"https://orcid.org/0000-0003-3343-3358","contributorId":310347,"corporation":false,"usgs":false,"family":"Carroll","given":"Hannah","email":"","middleInitial":"M.","affiliations":[{"id":67150,"text":"Univ. California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulrich, Robert N.","contributorId":310413,"corporation":false,"usgs":false,"family":"Ulrich","given":"Robert","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":875552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Ben M.","contributorId":310348,"corporation":false,"usgs":false,"family":"Elliott","given":"Ben","email":"","middleInitial":"M.","affiliations":[{"id":67151,"text":"Univ. of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":875453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagle, Robert A.","contributorId":190122,"corporation":false,"usgs":false,"family":"Eagle","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":875454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tripati, Aradhna K.","contributorId":190120,"corporation":false,"usgs":false,"family":"Tripati","given":"Aradhna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":875455,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70241111,"text":"70241111 - 2023 - Behavioral and reproductive effects of the lampricides TFM and TFM:1% Niclosamide on native freshwater mussels","interactions":[],"lastModifiedDate":"2023-03-10T14:33:23.409993","indexId":"70241111","displayToPublicDate":"2023-02-01T08:31:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral and reproductive effects of the lampricides TFM and TFM:1% Niclosamide on native freshwater mussels","docAbstract":"The lampricides TFM (3-trifluoromethyl-4′-nitrophenol) and Niclosamide (NIC, 2′, 5-dichloro-4′-nitrosalicylanilide) are used to control sea lamprey populations in the Great Lakes and associated tributaries. Niclosamide is often used as an additive to TFM to reduce the amount of TFM required to control sea lamprey. Concern is growing over the risk that lampricide treatments pose to native freshwater mussels residing in streams. Our objectives were to determine the acute toxicity of TFM and TFM:NIC to free glochidia (removed from the marsupial gills), compare the relative toxicity of TFM and TFM:NIC between free glochidia and brooded glochidia (within the marsupial gills), determine if glochidia age influences toxicity, and assess if exposure of gravid mussels to TFM and TFM:NIC alters behavior and reproduction. Three acute toxicity tests (2:TFM, 1:TFM : NIC) were conducted with glochidia and adults of the plain pocketbook mussel (Lampsilis cardium). In tests with glochidia, viability did not differ across TFM and TFM : NIC concentrations that encompassed typical stream treatments. Glochidia age influenced toxicity as glochidia obtained later in the brooding season were less viable than glochidia obtained earlier in the brooding season. Exposure of adults to elevated concentrations of lampricides often resulted in behavioral effects, but rarely affected reproductive endpoints. Because mussels are long-lived (30 to 100 y), even intermittent and short duration exposures may cumulatively affect mussels over their lifetime. The risks posed by lampricide treatments in the Great Lakes would be further informed by research on the sublethal effects of lampricides, particularly effects on non-target organisms such as mussels.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2022.11.007","usgsCitation":"Newton, T., Boogaard, M.A., Schloesser, N., Kirkeeng, C., Schueller, J., and Toribio, S.G., 2023, Behavioral and reproductive effects of the lampricides TFM and TFM:1% Niclosamide on native freshwater mussels: Journal of Great Lakes Research, v. 49, no. 1, p. 303-317, https://doi.org/10.1016/j.jglr.2022.11.007.","productDescription":"15 p.","startPage":"303","endPage":"317","ipdsId":"IP-140007","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":444639,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2022.11.007","text":"Publisher Index Page"},{"id":435474,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A12ZR4","text":"USGS data release","linkHelpText":"Behavioral and Reproductive Effects of the Lampricides TFM and TFM:1% Niclosamide on Native Freshwater Mussels - SPSS Code Release"},{"id":413949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":78696,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirkeeng, Courtney A. 0000-0002-7141-1216","orcid":"https://orcid.org/0000-0002-7141-1216","contributorId":237026,"corporation":false,"usgs":true,"family":"Kirkeeng","given":"Courtney","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toribio, Sherwin G.","contributorId":302983,"corporation":false,"usgs":false,"family":"Toribio","given":"Sherwin","email":"","middleInitial":"G.","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":866115,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70240636,"text":"70240636 - 2023 - Ecology and ecosystem impacts of submerged and floating aquatic vegetation in the Sacramento-San Joaquin Delta","interactions":[],"lastModifiedDate":"2023-02-10T13:13:30.325947","indexId":"70240636","displayToPublicDate":"2023-02-01T07:11:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Ecology and ecosystem impacts of submerged and floating aquatic vegetation in the Sacramento-San Joaquin Delta","docAbstract":"Substantial increases in non-native aquatic vegetation have occurred in the upper San Francisco Estuary over the last 2 decades, largely from the explosive growth of a few submerged and floating aquatic plant species. Some of these species act as ecosystem engineers by creating conditions that favor their further growth and expansion as well as by modifying habitat for other organisms. Over the last decade, numerous studies have investigated patterns of expansion and turn-over of aquatic vegetation species; effects of vegetation on ecosystem health, water quality, and habitat; and effects of particular species or communities on physical processes such as carbon and sediment dynamics. Taking a synthetic approach to evaluate what has been learned over the last few years has shed light on just how significant aquatic plant species and communities are to ecosystems in the Sacramento-San Joaquin Delta. Aquatic vegetation affects every aspect of the physical and biotic environment, acting as ecosystem engineers on the landscape. Furthermore, their effects are constantly changing across space and time, leaving many unanswered questions about the full effects of aquatic vegetation on Delta ecosystems and what future effects may result, as species shift in distribution and new species are introduced. Remaining knowledge gaps underlie our understanding of aquatic macrophyte effects on Delta ecosystems, including their roles and relationships with respect to nutrients and nutrient cycling, evapotranspiration and water budgets, carbon and sediment, and emerging effects on fish species and their habitats. This paper explores our current understanding of submerged and floating aquatic vegetation (SAV and FAV) ecology with respect to major aquatic plant communities, observed patterns of change, interactions between aquatic vegetation and the physical environment, and how these factors affect ecosystem services and disservices within the upper San Francisco Estuary.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2023v20iss4art3","usgsCitation":"Christman, M.A., Khanna, S., Drexler, J.Z., and Young, M.J., 2023, Ecology and ecosystem impacts of submerged and floating aquatic vegetation in the Sacramento-San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 20, no. 4, 3, 32 p., https://doi.org/10.15447/sfews.2023v20iss4art3.","productDescription":"3, 32 p.","ipdsId":"IP-144768","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":444640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2023v20iss4art3","text":"Publisher Index Page"},{"id":412940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.65414668802397,\n 38.53804340076624\n ],\n [\n -122.65414668802397,\n 37.37783082362128\n ],\n [\n -121.1606403257308,\n 37.37783082362128\n ],\n [\n -121.1606403257308,\n 38.53804340076624\n ],\n [\n -122.65414668802397,\n 38.53804340076624\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Christman, Mairgareth A.","contributorId":206436,"corporation":false,"usgs":false,"family":"Christman","given":"Mairgareth","email":"","middleInitial":"A.","affiliations":[{"id":37330,"text":"Delta Stewardship Council, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":864044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khanna, Shruti","contributorId":205167,"corporation":false,"usgs":false,"family":"Khanna","given":"Shruti","email":"","affiliations":[{"id":37041,"text":"Department of Land, Air, and Water Resources, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":864045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":864046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243560,"text":"70243560 - 2023 - Change in climatically suitable breeding distributions reduces hybridization potential between Vermivora warblers","interactions":[],"lastModifiedDate":"2023-05-12T12:20:15.008523","indexId":"70243560","displayToPublicDate":"2023-02-01T07:09:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Change in climatically suitable breeding distributions reduces hybridization potential between Vermivora warblers","title":"Change in climatically suitable breeding distributions reduces hybridization potential between Vermivora warblers","docAbstract":"Aim
Climate change is affecting the distribution of species and subsequent biotic interactions, including hybridization potential. The imperiled Golden-winged Warbler (GWWA) competes and hybridizes with the Blue-winged Warbler (BWWA), which may threaten the persistence of GWWA due to introgression. We examined how climate change is likely to alter the breeding distributions and potential for hybridization between GWWA and BWWA.
Location
North America.
Methods
We used GWWA and BWWA occurrence data to model climatically suitable conditions under historical and future climate scenarios. Models were parameterized with 13 bioclimatic variables and 3 topographic variables. Using ensemble modeling, we estimated historical and modern distributions, as well as a projected distribution under six future climate scenarios. We quantified breeding distribution area, the position of and amount of overlap between GWWA and BWWA distributions under each climate scenario. We summarized the top explanatory variables in our model to predict environmental parameters of the distributions under future climate scenarios relative to historical climate.
Results
GWWA and BWWA distributions are projected to substantially change under future climate scenarios. GWWA are projected to undergo the greatest change; the area of climatically suitable breeding season conditions is expected to shift north to northwest; and range contraction is predicted in five out of six future climate scenarios. Climatically suitable conditions for BWWA decreased in four of the six future climate scenarios, while the distribution is projected to shift east. A reduction in overlapping distributions for GWWA and BWWA is projected under all six future climate scenarios.
Main Conclusions
Climate change is expected to substantially alter the area of climatically suitable conditions for GWWA and BWWA, with the southern portion of the current breeding ranges likely to become climatically unsuitable. However, interactions between BWWA and GWWA are expected to decline with the decrease in overlapping habitat, which may reduce the risk of genetic introgression.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13659","usgsCitation":"Hightower, J.N., Crawford, D.L., Thogmartin, W.E., Aldinger, K.R., Barker Swarthout, S., Buehler, D.A., Confer, J., Friis, C., Larkin, J., Lowe, J.D., Piorkowski, M., Rohrbaugh, R., Rosenberg, K.V., Smalling, C.G., Wood, P.B., Vallender, R., and Roth, A.M., 2023, Change in climatically suitable breeding distributions reduces hybridization potential between Vermivora warblers: Diversity and Distributions, v. 29, no. 2, p. 254-271, https://doi.org/10.1111/ddi.13659.","productDescription":"18 p.","startPage":"254","endPage":"271","ipdsId":"IP-138007","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":444642,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13659","text":"Publisher Index Page"},{"id":435475,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AS9YAC","text":"USGS data release","linkHelpText":"Blue-winged and Golden-winged Warbler Breeding Season Occurrences in North America, 1932-2021"},{"id":416983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hightower, Jessica N.","contributorId":204645,"corporation":false,"usgs":false,"family":"Hightower","given":"Jessica","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":872370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Dolly L.","contributorId":299588,"corporation":false,"usgs":false,"family":"Crawford","given":"Dolly","email":"","middleInitial":"L.","affiliations":[{"id":64892,"text":"Pennsylvania Western University","active":true,"usgs":false}],"preferred":false,"id":872371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":872372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":872373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barker Swarthout, Sara","contributorId":176239,"corporation":false,"usgs":false,"family":"Barker Swarthout","given":"Sara","email":"","affiliations":[{"id":34544,"text":"Cornell Lab of Ornithology, Cornell University","active":true,"usgs":false}],"preferred":false,"id":872374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buehler, David A.","contributorId":169746,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":872375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Confer, John","contributorId":305334,"corporation":false,"usgs":false,"family":"Confer","given":"John","email":"","affiliations":[{"id":18877,"text":"Ithaca College","active":true,"usgs":false}],"preferred":false,"id":872376,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Friis, Christian","contributorId":194605,"corporation":false,"usgs":false,"family":"Friis","given":"Christian","email":"","affiliations":[],"preferred":false,"id":872377,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Larkin, Jeff","contributorId":199993,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":872378,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lowe, James D.","contributorId":305336,"corporation":false,"usgs":false,"family":"Lowe","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":872379,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Piorkowski, Martin","contributorId":305338,"corporation":false,"usgs":false,"family":"Piorkowski","given":"Martin","email":"","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":872380,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rohrbaugh, Ronald W.","contributorId":305340,"corporation":false,"usgs":false,"family":"Rohrbaugh","given":"Ronald W.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":872381,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rosenberg, Kenneth V.","contributorId":171463,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":27615,"text":"Cornell Lab of Ornithology, Conservation Science Program","active":true,"usgs":false}],"preferred":false,"id":872382,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Smalling, Curtis G.","contributorId":191724,"corporation":false,"usgs":false,"family":"Smalling","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":33352,"text":"Audubon North Carolina","active":true,"usgs":false}],"preferred":false,"id":872383,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wood, Petra B.","contributorId":305342,"corporation":false,"usgs":false,"family":"Wood","given":"Petra","email":"","middleInitial":"B.","affiliations":[{"id":66214,"text":"West Virginia Cooperative Fish and Wildlife Research Unit,","active":true,"usgs":false}],"preferred":false,"id":872384,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Vallender, Rachel","contributorId":194966,"corporation":false,"usgs":false,"family":"Vallender","given":"Rachel","email":"","affiliations":[{"id":34540,"text":"Canadian Museum of Nature","active":true,"usgs":false},{"id":27312,"text":"Canadian Wildlife Service, Environment and Climate Change Canada, 6 Bruce Street, Mount","active":true,"usgs":false}],"preferred":false,"id":872385,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Roth, Amber M.","contributorId":191723,"corporation":false,"usgs":false,"family":"Roth","given":"Amber","email":"","middleInitial":"M.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false},{"id":25614,"text":"School of Forest Resources, University of Maine","active":true,"usgs":false},{"id":27866,"text":"University of Maine, Department of Wildlife, Fisheries, and Conservation Biology, Orono, ME","active":true,"usgs":false}],"preferred":false,"id":872386,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70239954,"text":"70239954 - 2023 - Toward consistent change detection across irregular remote sensing time series observations","interactions":[],"lastModifiedDate":"2024-05-20T13:49:30.008054","indexId":"70239954","displayToPublicDate":"2023-02-01T07:04:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Toward consistent change detection across irregular remote sensing time series observations","docAbstract":"The use of remote sensing in time series analysis enables wall-to-wall monitoring of the land surface and is critical for assessing and understanding land cover and land use change and for understanding the Earth system as a whole. However, variability in remote sensing observation frequency through time and across space presents challenges for producing consistent change detection results throughout the available satellite record using approaches such as the Continuous Change Detection and Classification (CCDC) change detection methodology. Here we investigate new modifications to this methodology with the goal of improving accuracy and consistency in results and increasing flexibility for operational usage and future development. The modified method (Band-First Probability, or CCD-BFP) change detection procedure works by calculating a test for each band through time before summarizing between bands. We evaluate the CCD-BFP method compared to an existing implementation of CCDC using a variety of approaches, including a validation dataset of human-interpreted locations, comparison with data from fire events, use of simulated remote sensing data, and qualitative inspection of areas of interest. We find CCD-BFP improves consistency across time and space compared to the existing implementation of CCDC, with more similarity in rates of change across Landsat swath boundaries and before and after the launch of Landsat 7. Also, we find that CCD-BFP detects more of the change events in the validation dataset while reducing the overall number of change detections, indicating that it is able to more accurately capture the most notable land surface change events.
Droughts that are hotter, more frequent, and last longer; pest outbreaks that are more extensive and more common; and fires that are more frequent, more extensive, and perhaps more severe have raised concern that forests in the western United States may not return once disturbed by one or more of these agents. Numerous field-based studies have been undertaken to better understand forest response to these changing disturbance regimes. Meta-analyses of these studies provide broad guidelines on the biotic and abiotic factors that hinder forest recovery, but study-to-study differences in methods and objectives do not support estimation of the total extent of potentially impaired forest succession. In this research, we provide an estimate of the area of potentially impaired forest succession. The estimate was derived from modeling of an 18-year land cover and Normalized Difference Vegetation Index (NDVI) time series supported by an extensive ancillary dataset. We estimate an upper bound of approximately 3470 km2 of disturbed forest that may not return or reattain prior composition and structure. Based on the data used, fire appears to be the main disturbance agent of impaired forest succession, although climatic factors cannot be discounted. The numerous field studies routinely cite distal seed sources as a factor that hinders forest recovery, and we estimate that 20 % of the upper bound estimate has no forest cover within a 4.4-ha neighborhood. Our upper bound estimate is about 0.5 % of the 2001 mapped extent of western United States forests. The estimate is cognizant of measurement and modeling uncertainties (i.e., upper bound) and uncertainties related to successional rates and trajectories (i.e., potential).
Stocking of hatchery-reared fishes has been used with variable success as a management action to promote the recovery of populations and species. The practice has been controversial for several reasons, including uncertainty about whether the hatchery rearing experience may affect reproduction after release. Fine-scale acoustic telemetry was used during three spawning seasons to test whether hatchery rearing affects the reproductive behavior of lake trout using a spawning shoal complex in northern Lake Huron. Within sex, wild- and hatchery-reared fish behaved similarly, but significant behavioral differences occurred between sexes. Lake trout of both sexes moved synchronously onto the spawning shoals at the completion of autumn thermal turnover and occupied the same spawning sites (confirmed visually by presence of fertilized eggs) on the shoals. Male lake trout tended to congregate directly on spawning sites, with duration of occupancy varying greatly among years. Female lake trout spent less time on spawning shoals than males and congregated less at spawning sites on shoals. Most fish visited multiple spawning sites among shoals per season, with many making multiple transits among individual spawning sites. We found no evidence to support the hypothesis that hatchery rearing impairs spawning behavior of lake trout and, therefore, conclude that behavior deficiencies on the spawning ground are likely not an impediment to rehabilitation of lake trout in northern Lake Huron. Our study narrows the field of possible impediments to lake trout rehabilitation in the Great Lakes and provides insights that expand the conceptual model of lake trout spawning behavior.
Reported here are geological, geophysical, mineralogical, and geochemical data on a previously unknown trachyte-hosted rare earth element (REE)-Nb-Zr occurrence at Pennington Mountain in northern Maine, USA. This occurrence was newly discovered by a regional multiparameter, airborne radiometric survey that revealed anomalously high equivalent Th (eTh) and U (eU), confirmed by a detailed ground radiometric survey and by portable X-Ray fluorescence (pXRF) and whole-rock analyses of representative rock samples. The mineralized area occurs within an elongate trachyte body (~1.2 km2) that intrudes Ordovician volcanic rocks. Geologic constraints suggest that the trachyte is also Ordovician in age. The eastern lobe (~900 × ~400 m) of the trachyte is pervasively brecciated with a matrix containing seams, lenses, and veinlets composed mainly of potassium feldspar, albite, and fine-grained zircon and monazite. Barite is locally abundant. Minor minerals within the matrix include columbite, bastnäsite, euxenite, chlorite, pyrite, sphalerite, and magnetite. The pXRF analyses of 22 samples (App. Table A1) collected from the eastern lobe demonstrate that this entire part of the trachyte is highly mineralized. Whole-rock geochemical analyses for samples from the eastern lobe document high average contents of Zr (1.17 wt %), Nb (1,656 ppm), Ba (3,132 ppm), Y (1,140 ppm), Hf (324 ppm), Ta (122 ppm), Th (124 ppm), U (36.5 ppm), Zn (689 ppm), and Sn (106 ppm). Among light REE, the highest average concentrations are shown by La (763 ppm) and Ce (1,479 ppm). For heavy REE (HREE), Dy and Er are the most abundant on average (167 and 114 ppm, respectively). No HREE-rich minerals such as xenotime have been identified; the HREE may reside chiefly in monazite and bastnäsite, and within the fine-grained zircon. Very strong positive correlations (R2) of 0.92 to 0.98 exist between Th and Zr, Nb, Y, Ce, Yb, and Sn, indicating that the radiometric data for eTh are valid proxies for concentrations of these metals in the mineralized rocks.
","language":"English","publisher":"Society for Economic Geologists","doi":"10.5382/econgeo.4993","usgsCitation":"Wang, C., Slack, J.F., Shah, A.K., Yates, M.G., Lentz, D.R., Whittaker, A.T., and Marvinney, R.G., 2023, A recently discovered trachyte-hosted rare earth element-niobium-zirconium occurrence in northern Maine, USA: Economic Geology, v. 118, no. 1, p. 1-13, https://doi.org/10.5382/econgeo.4993.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-143441","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":444655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.4993","text":"Publisher Index Page"},{"id":418496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.73204287455003,\n 45.7741074745758\n ],\n [\n -67.73204287455003,\n 47.52268519237853\n ],\n [\n -70.36739756743843,\n 47.52268519237853\n ],\n [\n -70.36739756743843,\n 45.7741074745758\n ],\n [\n -67.73204287455003,\n 45.7741074745758\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"118","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Chunzeng 0000-0002-8362-5174","orcid":"https://orcid.org/0000-0002-8362-5174","contributorId":295415,"corporation":false,"usgs":false,"family":"Wang","given":"Chunzeng","email":"","affiliations":[{"id":63866,"text":"University of Maine at Presque-Isle","active":true,"usgs":false}],"preferred":false,"id":876284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":876285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":876286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yates, Martin G.","contributorId":313571,"corporation":false,"usgs":false,"family":"Yates","given":"Martin","email":"","middleInitial":"G.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":876287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lentz, David R.","contributorId":313573,"corporation":false,"usgs":false,"family":"Lentz","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":876288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whittaker, Amber T.H.","contributorId":313574,"corporation":false,"usgs":false,"family":"Whittaker","given":"Amber","email":"","middleInitial":"T.H.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":876289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marvinney, Robert G.","contributorId":131130,"corporation":false,"usgs":false,"family":"Marvinney","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":876290,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70251801,"text":"70251801 - 2023 - Timing of rhyolite intrusion and Carlin-type gold mineralization at the Cortez Hills Carlin-type deposit, Nevada, USA","interactions":[],"lastModifiedDate":"2024-02-29T12:41:18.941661","indexId":"70251801","displayToPublicDate":"2023-02-01T06:37:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Timing of rhyolite intrusion and Carlin-type gold mineralization at the Cortez Hills Carlin-type deposit, Nevada, USA","docAbstract":"Carlin-type gold deposits (CTDs) of Nevada are the largest producers of gold in the United States, a leader in world gold production. Although much has been resolved about the characteristics and origin of CTDs in Nevada, major questions remain, especially about (1) the role of magmatism, whether only a source of heat or also metals, (2) whether CTDs only formed in the Eocene, and (3) whether pre-Eocene metal concentrations contributed to Eocene deposits. These issues are exemplified by the CTDs of the Cortez region, the second largest concentration of these deposits after the Carlin trend.
Carlin-type deposits are notoriously difficult to date because they rarely generate dateable minerals. An age can be inferred from crosscutting relationships with dated dikes and other intrusions, which we have done for the giant Cortez Hills CTD. What we term “Cortez rhyolites” consist of two petrographic-geochemical groups of siliceous dikes: (1) quartz-sanidine-plagioclase-biotite-phyric, high-SiO2 rhyolites emplaced at 35.7 Ma based on numerous 40Ar/39Ar dates and (2) plagioclase-biotite-quartz ± hornblende-phyric, low-SiO2 rhyolites, which probably were emplaced at the same time but possibly as early as ~36.2 Ma. The dikes form a NNW-trending belt that is ~6 to 10 km wide × 40 km long and centered on the Cortez Hills deposit, and they require an underlying felsic pluton that fed the dikes. Whether these dikes pre- or postdated mineralization has been long debated. We show that dike emplacement spanned the time of mineralization. Many of both high- and low-SiO2 dikes are altered and mineralized, although none constitute ore. In altered-mineralized dikes, plagioclase has been replaced by kaolinite and calcite, and biotite by smectite, calcite, and marcasite. Sanidine is unaltered except in a few samples that are completely altered to quartz and kaolinite. Sulfides present in mineralized dikes are marcasite, pyrite, arsenopyrite, and As-Sb–bearing pyrite. Mineralized dikes are moderately enriched in characteristic Carlin-type elements (Au, Hg, Sb, Tl, As, and S), as well as elements found in some CTDs (Ag, Bi, Cu, Mo), and variably depleted in MgO, CaO, Na2O, K2O, MnO, Rb, Sr, and Ba. In contrast, some high-SiO2 rhyolites are unaltered and cut high-grade ore, which shows that they are post-ore. Both mineralized and post-ore dikes have indistinguishable sanidine 40Ar/39Ar dates. These characteristics, along with published interpretations that other giant CTDs formed in a few tens of thousands of years, indicate the Cortez Hills CTD formed at 35.7 Ma. All Cortez-area CTDs are in or adjacent to the Cortez rhyolite dike swarm, which suggests that the felsic pluton that fed the dikes was the hydrothermal heat source. Minor differences in alteration and geochemistry between dikes and typical Paleozoic sedimentary rock-hosted ore probably reflect low permeability and low reactivity of the predominantly quartzofeldspathic dikes.
Despite widespread pre-35.7 Ma mineralization in the Cortez region, including deposits near several CTDs, we find no evidence that older deposits or Paleozoic basinal rocks contributed metals to Cortez-area CTDs. Combining our new information about the age of Cortez Hills with published and our dates on other CTDs demonstrates that CTD formation coincided with the southwestern migration of magmatism across Nevada, supporting a genetic relationship to Eocene magmatism. CTDs are best developed where deep-seated (~6–8 km), probably granitic plutons, expressed in deposits only as dikes, established large, convective hydrothermal systems.
Harmful algal blooms (HABs) are a recurring problem in many temperate large lake and coastal marine ecosystems, caused mainly by anthropogenic eutrophication. Implementation of agricultural conservation practices (ACPs) offers a means to reduce non-point source nutrient runoff and mitigate HABs. However, the effectiveness of ACPs in a changing climate remains uncertain. We used an integrated biophysical modeling approach to predict how Lake Erie cyanobacterial HAB severity (bloom biomass) may change under several climate and ACP implementation scenarios, using western Lake Erie and its largely agricultural watershed as our study system. An ensemble of general circulation model projections was used to drive spatially explicit land use and hydrology models of the Maumee River watershed, the output of which informed a predictive model of Lake Erie HAB severity. Results show that, in the absence of changes in ACPs, the frequency of severe HABs is projected to increase during coming decades, owing to increased inputs of nutrients from the watershed. These anticipated increases are due to increased total precipitation and more frequent higher-magnitude rainfall events. While further implementation of ACPs appears capable of reducing severe HAB events, widespread implementation would be necessary to reduce HAB severity below current management targets. This study highlights how continued climate change will only exacerbate the need for land management practices that can reduce nutrient runoff in agriculturally dominated ecosystems, such as Lake Erie. It also shows how interdisciplinary, biophysical modeling approaches can help identify strategies to mitigate HABs in the face of anthropogenic stressors.
Finchite (IMA2017-052), Sr(UO2)2(V2O8)·5H2O, is the first uranium mineral known to contain essential Sr. The new mineral occurs as yellow-green blades up to ~10 µm in length in surface outcrops of the calcrete-type uranium deposit at Sulfur Springs Draw, Martin County, Texas, U.S.A. Crystals of finchite were subsequently discovered underground in the Pandora mine, La Sal, San Juan County, Utah, U.S.A., as diamond-shaped golden-yellow crystals reaching up to 1 mm. The crystal structure of finchite from both localities was determined using single-crystal X-ray diffraction and is orthorhombic, Pcan, with a = 10.363(6) Å, b = 8.498(5) Å, c = 16.250(9) Å, V = 1431.0(13) Å3, Z = 4 (R1 = 0.0555) from Sulfur Springs Draw; and a = 10.3898(16), b = 8.5326(14), c = 16.3765(3) Å, V = 1451.8(4) Å3, Z = 4 (R1 = 0.0600) from the Pandora mine. Electron-probe microanalysis provided the empirical formula (Sr0.88K0.17Ca0.10Mg0.07Al0.03Fe0.02)Σ1.20(UO2)2(V2.08O8)·5H2O for crystals from Sulfur Springs Draw, and (Sr0.50Ca0.28Ba0.22K0.05)Σ0.94(U0.99O2)2(V2.01O8)·5H2O for crystals from the Pandora mine, based on 17 O atoms per formula unit. The structure of finchite contains uranyl vanadate sheets based upon the francevillite topology. Finchite is a possible immobilization species for both uranium and the dangerous radionuclide 90Sr because of the relative insolubility of uranyl vanadate minerals in water.
The Penobscot River Restoration Project in Maine was a large river rehabilitation project that culminated in the removal of the two lowermost dams and improvements to fish passage on several remaining dams. Fish assemblages were surveyed for 3 years prior to rehabilitation, 3 years after rehabilitation, and 8 years after rehabilitation. Approximately 475 km of shoreline were sampled via boat electrofishing, yielding 133,394 individual fish of 41 species. The greatest shifts in assemblage structure occurred immediately after dam removal in formerly impounded sections, with an increased prevalence of riverine and migratory species. Long-term sampling documented changes within tributaries and tidally influenced river segments, where large schools of adult and young-of-the-year alosines increased in abundance. Upstream of the lowermost dam, the river remains dominated by lacustrine species, while adult anadromous fishes continue to be most abundant immediately downstream of the lowermost dam. Our results provide increased evidence that dam removals result in altered fish assemblages, which are now dominated by riverine and anadromous species in previously impounded habitats. Alosines in the Penobscot River have exhibited the greatest long-term response to river restoration efforts.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10227","usgsCitation":"Whittum, K., Zydlewski, J.D., Coghlan, S., Hayes, D., Watson, J., and Kiraly, I., 2023, Fish assemblages in the Penobscot River: A decade after dam removal: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 15, no. 1, e10227, 18 p., https://doi.org/10.1002/mcf2.10227.","productDescription":"e10227, 18 p.","ipdsId":"IP-146223","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467124,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10227","text":"Publisher Index Page"},{"id":466424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -69.68431252548459,\n 45.55932755468805\n ],\n [\n -69.68431252548459,\n 44.23415058804457\n ],\n [\n -68.27321921462578,\n 44.23415058804457\n ],\n [\n -68.27321921462578,\n 45.55932755468805\n ],\n [\n -69.68431252548459,\n 45.55932755468805\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Whittum, Kory A.","contributorId":348238,"corporation":false,"usgs":false,"family":"Whittum","given":"Kory A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":923299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coghlan, Stephen M. Jr.","contributorId":348224,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen M. 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Given known differences in hearth morphology, within hearth physical and chemical differences may exist and result in unique ecologic niches. We examined soil stratigraphy across 8 relict charcoal hearths (RCH) and control soils on different landforms near a 19th century furnace complex (Greenwood Furnace, northcentral Appalachians USA). Soils were analyzed for particle size, total and trace elements, and fertility. Platform creation resulted in soils from upslope RCH positions mixed with subsurface materials on the downslope side to create a stabilized platform. The thin, uniform thickness of charcoal surface horizons (Ac) suggests that RCHs were not used more than once for charcoal manufacturing or that charcoal was always removed very efficiently. While rubification of soil or rock from high heat was seen in 6 of 8 sites sampled, it was not extensive across sampled areas of any one hearth, which suggests hearth use may not have frequent, hot enough, or spatially disparate. Soil fertility characteristics change within RCHs but also by landscape position. Downslope RCH positions are enriched in some parameters compared to control soils (total C, Mehlich 3 Mg, Ca, and Aquia Regia digestion Mn) and that enrichment often is from the surface downward. Downslope enrichment within RCH soils may have occurred from charcoal and released ions, slope erosion and accumulation, or transportation of constructed materials during RCH creation. Landscape position may accentuate or mute soil chemistry differences. Greenwood Furnace RCHs have unique patterns of chemistry, which could result in unique niches for flora and maybe fauna within RCH. Future research should more closely investigate whether hearths support unique species assemblages and how they may play a role in enhancing today’s forest biodiversity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2022.108525","usgsCitation":"Bayuzick, S., Guarin, D., Benavides, J., Bonhage, A., Hirsch, F., Diefenbach, D.R., McDill, M., Raab, T., and Drohan, P., 2023, Soil and geomorphic patterns within relict charcoal hearths could represent unique ecosystem niches: Geomorphology, v. 422, 108525, 16 p., https://doi.org/10.1016/j.geomorph.2022.108525.","productDescription":"108525, 16 p.","ipdsId":"IP-144124","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489140,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2022.108525","text":"Publisher Index Page"},{"id":481138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Greenwood Furnace State Park, Rothrock State Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.88527087498365,\n 40.75432923716272\n ],\n [\n -77.88527087498365,\n 40.594519811533985\n ],\n [\n -77.64685924071077,\n 40.594519811533985\n ],\n [\n -77.64685924071077,\n 40.75432923716272\n ],\n [\n -77.88527087498365,\n 40.75432923716272\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"422","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bayuzick, S.","contributorId":348658,"corporation":false,"usgs":false,"family":"Bayuzick","given":"S.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":924952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guarin, D.","contributorId":348662,"corporation":false,"usgs":false,"family":"Guarin","given":"D.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":924953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benavides, J.","contributorId":349873,"corporation":false,"usgs":false,"family":"Benavides","given":"J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":925005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonhage, A.","contributorId":348664,"corporation":false,"usgs":false,"family":"Bonhage","given":"A.","affiliations":[{"id":83395,"text":"Brandenburg University of Technology","active":true,"usgs":false}],"preferred":false,"id":924954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hirsch, F.","contributorId":348665,"corporation":false,"usgs":false,"family":"Hirsch","given":"F.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":924955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDill, M.","contributorId":348666,"corporation":false,"usgs":false,"family":"McDill","given":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":924957,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Raab, T.","contributorId":348667,"corporation":false,"usgs":false,"family":"Raab","given":"T.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":924958,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drohan, P.J.","contributorId":348668,"corporation":false,"usgs":false,"family":"Drohan","given":"P.J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":924959,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70262355,"text":"70262355 - 2023 - Effects of freshwater residence time on reproductive success in anadromous alewife (Alosa pseudoharengus): climate change implications","interactions":[],"lastModifiedDate":"2025-01-17T17:23:28.08865","indexId":"70262355","displayToPublicDate":"2023-02-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Effects of freshwater residence time on reproductive success in anadromous alewife (Alosa pseudoharengus): climate change implications","docAbstract":"Earlier spring warming and anadromous fish migrations prompted by climate change are linked to shorter freshwater residency. Impacts of phenological change on anadromous fish populations are poorly understood with limited studies focused on iteroparous non-salmonids. We assessed freshwater residence time and reproductive success in an iteroparous clupeid, alewife (Alosa pseudoharengus) using a pedigree analysis and otolith-based spawning dates from captured juveniles. The primary objectives were to (1) estimate adult spawning duration in a freshwater pond (freshwater residence time) and (2) evaluate adult freshwater residence time, arrival date, length, sex, and reproductive success across 2 years in one system. Estimated freshwater residence times varied widely (1–64 days), and longer residence times were associated with earlier arrival dates, higher reproductive success, and more mating events. Longer freshwater residence times may allow alewife to spawn with more mates, produce more gametes, and experience a range of spawning and nursery conditions. Plasticity in alewife freshwater residence time could support earlier and shorter migration periods but may result in lower reproductive output if adults spend less time in freshwater ponds.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0086","usgsCitation":"Marjadi, M., Roy, A.H., Devine, M., Gahagan, B., Jordaan, A., Rosset, J., and Whiteley, A., 2023, Effects of freshwater residence time on reproductive success in anadromous alewife (Alosa pseudoharengus): climate change implications: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 3, p. 563-576, https://doi.org/10.1139/cjfas-2022-0086.","productDescription":"14 p.","startPage":"563","endPage":"576","ipdsId":"IP-139986","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":501006,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/126432","text":"External Repository"},{"id":480755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Pentucket Pond","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.00429206328943,\n 42.73849221387013\n ],\n [\n -71.00429206328943,\n 42.729638028060464\n ],\n [\n -70.98878808335037,\n 42.729638028060464\n ],\n [\n -70.98878808335037,\n 42.73849221387013\n ],\n [\n -71.00429206328943,\n 42.73849221387013\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"80","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marjadi, Meghna N.","contributorId":348960,"corporation":false,"usgs":false,"family":"Marjadi","given":"Meghna N.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":923900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Devine, Matthew T.","contributorId":348961,"corporation":false,"usgs":false,"family":"Devine","given":"Matthew T.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":923902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gahagan, Benjamin I.","contributorId":348962,"corporation":false,"usgs":false,"family":"Gahagan","given":"Benjamin I.","affiliations":[{"id":39892,"text":"Massachusetts Division of Marine Fisheries","active":true,"usgs":false}],"preferred":false,"id":923903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jordaan, Adrian","contributorId":348963,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":923904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosset, Julianne","contributorId":348964,"corporation":false,"usgs":false,"family":"Rosset","given":"Julianne","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":923905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whiteley, Andrew R.","contributorId":348965,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew R.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":923906,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266303,"text":"70266303 - 2023 - Connecting research and practice to enhance the evolutionary potential of species under climate change","interactions":[],"lastModifiedDate":"2025-05-02T15:32:10.928537","indexId":"70266303","displayToPublicDate":"2023-02-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Connecting research and practice to enhance the evolutionary potential of species under climate change","docAbstract":"Resource managers have rarely accounted for evolutionary dynamics in the design or implementation of climate change adaptation strategies. We brought the research and management communities together to identify challenges and opportunities for applying evidence from evolutionary science to support on-the-ground actions intended to enhance species' evolutionary potential. We amalgamated input from natural-resource practitioners and interdisciplinary scientists to identify information needs, current knowledge that can fill those needs, and future avenues for research. Three focal areas that can guide engagement include: (1) recognizing when to act, (2) understanding the feasibility of assessing evolutionary potential, and (3) identifying best management practices. Although researchers commonly propose using molecular methods to estimate genetic diversity and gene flow as key indicators of evolutionary potential, we offer guidance on several additional attributes (and their proxies) that may also guide decision-making, particularly in the absence of genetic data. Finally, we outline existing decision-making frameworks that can help managers compare alternative strategies for supporting evolutionary potential, with the goal of increasing the effective use of evolutionary information, particularly for species of conservation concern. We caution, however, that arguing over nuance can generate confusion; instead, dedicating increased focus on a decision-relevant evidence base may better lend itself to climate adaptation actions.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.12855","usgsCitation":"Thompson, L., Thurman, L., Cook, C.N., Beever, E.A., Sgro, C., Battles, A., Botero, C., Gross, J.E., Hall, K., Hendry, A.P., Hoffmann, A., Hoving, C., LeDee, O.E., Mengelt, C., Nicotra, A., Niver, R., Pérez-Jvostov, F., Quiñones, R., Schuurman, G.W., Schwartz, M.K., Szymanski, J., and Whiteley, A., 2023, Connecting research and practice to enhance the evolutionary potential of species under climate change: Conservation Science and Practice, v. 5, no. 2, e12855, 18 p., https://doi.org/10.1111/csp2.12855.","productDescription":"e12855, 18 p.","ipdsId":"IP-134501","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12855","text":"Publisher Index 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2022","interactions":[],"lastModifiedDate":"2023-03-30T15:25:01.120613","indexId":"70241891","displayToPublicDate":"2023-01-31T10:06:22","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"90045-1","title":"Monitoring native nonsalmonids for the incidence of gas bubble trauma downstream of Snake and Columbia River dams during the spring spill season, 2022","docAbstract":"In 2020, a new spill program was implemented to aid the downstream passage of juvenile salmonids at mainstem dams on the Snake and Columbia rivers. Under this program, the total \ndissolved gas (TDG) cap was increased to 125% and monitoring of native nonsalmonids for gas \nbubble trauma (GBT) became a requirement. The primary objective of this work was to measure\nthe incidence and severity of GBT in native nonsalmonids resulting from increased juvenile fish \npassage spill and associated levels of TDG during the spring spill period. Native nonsalmonids \nwere collected downstream from Bonneville, McNary, Ice Harbor, and Lower Granite dams and \nexamined for the incidence and severity of GBT in 2022. Fish were collected at each location weekly (4 April to 13 June) during the spring spill period by backpack electrofishing and beach seining. Washington and Oregon state water quality agencies established minimum and target sample sizes for monitoring, but the minimum sample size of 50 fish and target sample size of \n100 fish were not met in all weeks at individual projects due to high water flows and resulting low fish collections. Collected fish were examined for GBT according to the criteria and protocol established for the regional smolt monitoring program (SMP). Overall, GBT incidence and \nseverity rankings were low and did not exceed the thresholds that would have triggered changes\nto the spill program. Using SMP criteria, maximum weekly GBT incidences were 1.9% \ndownstream from Bonneville Dam, 8.6% downstream from McNary Dam, 7.7% downstream \nfrom Ice Harbor Dam, and 3.4% downstream from Lower Granite Dam. In contrast to 2021, \nseveral species showed signs of GBT in 2022, and GBT was commonly observed in fins and \nbody locations other than the unpaired fins and eyes (i.e., SMP criteria). In general, the observed \nsigns of GBT according to SMP criteria were not severe (i.e., ranks 1 and 2). Although TDG \nreached the gas cap, particularly late in the spring spill season, GBT incidence rates were not \nhigh probably due to factors such as habitat-related variability in TDG, species composition and \nvarying tolerance to high TDG, low power to detect GBT incidence at small sample sizes, and \nunknown exposure history.","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K.F., Liedtke, B.D., Lebeda, D.D., Benson, S.L., and Warren, J.J., 2023, Monitoring native nonsalmonids for the incidence of gas bubble trauma downstream of Snake and Columbia River dams during the spring spill season, 2022, vii, 49 p.","productDescription":"vii, 49 p.","ipdsId":"IP-148619","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":414974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414942,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.05159276847027,\n 46.83175760373237\n ],\n [\n -123.95675689537998,\n 46.83175760373237\n ],\n [\n -123.95675689537998,\n 45.17347125976491\n ],\n [\n -117.05159276847027,\n 45.17347125976491\n ],\n [\n -117.05159276847027,\n 46.83175760373237\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":868109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Brad D. 0000-0002-0458-7377","orcid":"https://orcid.org/0000-0002-0458-7377","contributorId":303795,"corporation":false,"usgs":true,"family":"Liedtke","given":"Brad","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":868110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lebeda, Dalton Dirk 0000-0001-9071-8400","orcid":"https://orcid.org/0000-0001-9071-8400","contributorId":251867,"corporation":false,"usgs":true,"family":"Lebeda","given":"Dalton","email":"","middleInitial":"Dirk","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":868111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benson, Scott Louis 0000-0003-0397-1200","orcid":"https://orcid.org/0000-0003-0397-1200","contributorId":303796,"corporation":false,"usgs":true,"family":"Benson","given":"Scott","email":"","middleInitial":"Louis","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":868112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Joe J. 0000-0001-5632-730X jwarren@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-730X","contributorId":265131,"corporation":false,"usgs":true,"family":"Warren","given":"Joe","email":"jwarren@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":868113,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}