{"pageNumber":"476","pageRowStart":"11875","pageSize":"25","recordCount":184812,"records":[{"id":70224260,"text":"70224260 - 2021 - Uncertainty in remote sensing of streams using noncontact radars","interactions":[],"lastModifiedDate":"2021-09-16T12:24:09.908889","indexId":"70224260","displayToPublicDate":"2021-08-13T07:20:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty in remote sensing of streams using noncontact radars","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Accounting for freshwater resources and monitoring floods are vital functions for societies throughout the world. Remote-sensing methods offer great prospects to expand stream monitoring in developing countries and to smaller, headwater streams that are largely ungauged worldwide. This study evaluates the potential to estimate discharge using eight radar units that have been installed over streams in diverse hydrologic and hydraulic settings across the United States. The research highlights error characteristics associated with the measurements of stage using pulsed wave radars, mean channel velocity from continuous wave Doppler radars, and their combined use to estimate discharge at sites that were collocated with conventional streamgauges. Potential stage biases caused by the thermal expansion and contraction of supporting structures due to diurnal temperature changes were examined. A dry concrete, flume showed the temperature-dependent stage variations were no more than 2&nbsp;cm. Surface velocity retrievals needed to be adjusted to represent the mean channel velocity when estimating discharge. Different approaches were evaluated and application of two different, depth-dependent adjustment factors was found to yield the most accurate estimates. This study found that it is possible to get accurate discharge estimates from noncontact radar measurements, providing cost-effective solutions for remote sensing of ungauged streams. Lastly, radar measurements of the raw variables (i.e., stage and surface velocity) can be used in an early alerting context to detect flash floods in ungauged streams.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2021.126809","usgsCitation":"Khan, M.R., Gourley, J.J., Duarte, J., Vergara, H., Wasielewski, D., Ayral, P., and Fulton, J.W., 2021, Uncertainty in remote sensing of streams using noncontact radars: Journal of Hydrology, v. 603, no. A, 126809, 16 p., https://doi.org/10.1016/j.jhydrol.2021.126809.","productDescription":"126809, 16 p.","ipdsId":"IP-127286","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":451191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2021.126809","text":"Publisher Index Page"},{"id":389329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Oklahoma, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.26171875,\n              29.53522956294847\n            ],\n            [\n              -97.03125,\n              29.53522956294847\n            ],\n       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     ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"603","issue":"A","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Khan, Mushfiqur Rahman","contributorId":265787,"corporation":false,"usgs":false,"family":"Khan","given":"Mushfiqur","email":"","middleInitial":"Rahman","affiliations":[{"id":54795,"text":"School of Civil Engineering and Environmental Science, University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":823380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gourley, Jonathan J 0000-0001-7363-3755","orcid":"https://orcid.org/0000-0001-7363-3755","contributorId":225540,"corporation":false,"usgs":false,"family":"Gourley","given":"Jonathan","email":"","middleInitial":"J","affiliations":[{"id":41158,"text":"NOAA/OAR/National Severe Storms Laboratory, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":823381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duarte, Jorge","contributorId":265788,"corporation":false,"usgs":false,"family":"Duarte","given":"Jorge","email":"","affiliations":[{"id":54797,"text":"NOAA/National Severe Storms Laboratory","active":true,"usgs":false}],"preferred":false,"id":823382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vergara, Humberto","contributorId":225541,"corporation":false,"usgs":false,"family":"Vergara","given":"Humberto","email":"","affiliations":[{"id":41159,"text":"Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":823383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wasielewski, Daniel","contributorId":265789,"corporation":false,"usgs":false,"family":"Wasielewski","given":"Daniel","affiliations":[{"id":54797,"text":"NOAA/National Severe Storms Laboratory","active":true,"usgs":false}],"preferred":false,"id":823384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ayral, Pierre-Alain","contributorId":265790,"corporation":false,"usgs":false,"family":"Ayral","given":"Pierre-Alain","email":"","affiliations":[{"id":54798,"text":"Hydrosciences Montpellier, University of Montpellier","active":true,"usgs":false}],"preferred":false,"id":823385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fulton, John W, 0000-0002-5335-0720","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":213630,"corporation":false,"usgs":true,"family":"Fulton","given":"John","middleInitial":"W,","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823386,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70224988,"text":"70224988 - 2021 - The trajectory of soil development and its relationship to soil carbon dynamics","interactions":[],"lastModifiedDate":"2021-10-13T12:24:40.160992","indexId":"70224988","displayToPublicDate":"2021-08-13T07:20:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"The trajectory of soil development and its relationship to soil carbon dynamics","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">It has been postulated that the amount of soil organic carbon (SOC) associated with soil minerals exhibits a threshold relationship in response to effective soil moisture (estimated as precipitation less evapotranspiration). To better characterize the role of moisture in influencing mechanisms of SOC storage during pedogenesis, we compare soils from two different chronosequence sites: the Santa Cruz and Mattole River marine terraces that together form a soil age-by-climate gradient (i.e., climo-chronosequence). Our results demonstrate how variation in the effective soil moisture may drive soil development along divergent pedogenic trajectories, resulting in variations in the form and depth distribution of secondary weathering products. In particular, the residual metals Fe and Al are directly related to the type of secondary minerals that accumulate during weathering, and these variations are coupled to differences in the storage and long-term preservation of SOC both within and between soils. Over time, these differences in soil development may lead to ‘pedogenic thresholds’ that further differentiate soil characteristics and influence SOC dynamics. In this case, the pedogenic threshold takes the form of clay-rich argillic horizons that once formed, inhibit aqueous transport, decouple shallow and deep soil environments, and potentially limit SOC inputs and increase microbial recycling in deep soils. Our data suggest argillic horizon development is favorable in the drier Santa Cruz soils, where kaolinite is the dominant secondary weathering product. In contrast, greater available moisture in soils of the Mattole chronosequence drive a different weathering trajectory characterized by the accumulation of more amorphous secondary minerals. As a result, the Mattole soils and do not exhibit argillic horizon development but are instead characterized by greater accumulation of SOC across all depths sampled. Overall, our results illustrate how the interaction of climate (i.e., moisture) and time may shape the trajectory of soil development and the dynamics of SOC storage and preservation.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2021.115378","usgsCitation":"Lawrence, C., Schulz, M., Masiello, C., Chadwick, O.A., and Harden, J.W., 2021, The trajectory of soil development and its relationship to soil carbon dynamics: Geoderma, v. 403, 115378, 15 p., https://doi.org/10.1016/j.geoderma.2021.115378.","productDescription":"115378, 15 p.","ipdsId":"IP-099659","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":451193,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2021.115378","text":"Publisher Index Page"},{"id":436242,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J0CA9C","text":"USGS data release","linkHelpText":"Soil Biogeochemical Data from a Marine Terrace Soil Climo-Chronosequence Comparison"},{"id":390464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.73876953125,\n              40.22921818870117\n            ],\n            [\n              -123.837890625,\n              40.22921818870117\n            ],\n            [\n              -123.837890625,\n              40.713955826286046\n            ],\n            [\n              -124.73876953125,\n              40.713955826286046\n            ],\n            [\n              -124.73876953125,\n              40.22921818870117\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.18994140624999,\n              36.54494944148322\n            ],\n            [\n              -120.82763671875,\n              36.54494944148322\n            ],\n            [\n              -120.82763671875,\n              37.142803443716836\n            ],\n            [\n              -122.18994140624999,\n              37.142803443716836\n            ],\n            [\n              -122.18994140624999,\n              36.54494944148322\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"403","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":219251,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":825082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, Marjorie S. 0000-0001-5597-6447 mschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-5597-6447","contributorId":3720,"corporation":false,"usgs":true,"family":"Schulz","given":"Marjorie S.","email":"mschulz@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":825083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masiello, Caroline 0000-0003-2102-6229","orcid":"https://orcid.org/0000-0003-2102-6229","contributorId":267376,"corporation":false,"usgs":false,"family":"Masiello","given":"Caroline","email":"","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":825084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chadwick, Oliver A.","contributorId":88244,"corporation":false,"usgs":false,"family":"Chadwick","given":"Oliver","email":"","middleInitial":"A.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":825086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":825085,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223230,"text":"70223230 - 2021 - Merging empirical and mechanistic approaches to modeling aquatic visual foraging using a generalizable visual reaction distance model","interactions":[],"lastModifiedDate":"2021-08-18T12:22:11.267846","indexId":"70223230","displayToPublicDate":"2021-08-13T07:19:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Merging empirical and mechanistic approaches to modeling aquatic visual foraging using a generalizable visual reaction distance model","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara011\">Visual encounter distance models are important tools for predicting how light and water clarity mediate visual predator-prey interactions that affect the structure and function of aquatic ecosystems at multiple spatial, temporal, and organizational scales. The two main varieties of visual encounter distance models, mechanistic and empirical, are used for similar purposes but take fundamentally different approaches to model development and have different strengths and weaknesses in terms of predictive accuracy, physical and biological interpretability of parameters, ability to incorporate outside information, and utility for knowledge transfer. To overcome weaknesses of existing mechanistic and empirical models and bridge the gap between approaches, we developed a generalized visual reaction distance model that relaxes assumptions of a widely-used mechanistic model that are violated in real predator-prey interactions. We compared the performance of the generalized visual reaction distance model to a widely used mechanistic model and an empirical visual encounter distance model by fitting models to data from four predator-prey experiments. The generalized visual reaction distance model substantially outperformed the other models in all cases based on fit to reaction distance data and presents an attractive alternative to prior models based on comparatively high predictive accuracy, use of interpretable parameters, and ability to incorporate outside information—characteristics that facilitate knowledge transfer.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2021.109688","usgsCitation":"Rohan, S.K., Beauchamp, D., Essington, T.E., and Hansen, A.G., 2021, Merging empirical and mechanistic approaches to modeling aquatic visual foraging using a generalizable visual reaction distance model: Ecological Modelling, v. 457, 109688, 13 p., https://doi.org/10.1016/j.ecolmodel.2021.109688.","productDescription":"109688, 13 p.","ipdsId":"IP-118285","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":451195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2021.109688","text":"Publisher Index Page"},{"id":388085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"457","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rohan, Sean K.","contributorId":260255,"corporation":false,"usgs":false,"family":"Rohan","given":"Sean","email":"","middleInitial":"K.","affiliations":[{"id":52548,"text":"National Marine Fisheries Service, Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration, 7600 Sand Point Way NE, Seattle, WA 98115, USA","active":true,"usgs":false}],"preferred":false,"id":821471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":821472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Essington, Timothy E.","contributorId":95826,"corporation":false,"usgs":false,"family":"Essington","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":821473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Adam G.","contributorId":197415,"corporation":false,"usgs":false,"family":"Hansen","given":"Adam","email":"","middleInitial":"G.","affiliations":[{"id":34919,"text":"Colorado Parks and Wildlife, 317 West Prospect Road, Fort Collins, Colorado 80526, USA","active":true,"usgs":false}],"preferred":false,"id":821474,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223196,"text":"70223196 - 2021 - Using an unmanned aerial vehicle water sampler to gather data in a pit-lake mining environment to assess closure and monitoring","interactions":[],"lastModifiedDate":"2021-08-17T12:16:14.635017","indexId":"70223196","displayToPublicDate":"2021-08-13T07:13:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Using an unmanned aerial vehicle water sampler to gather data in a pit-lake mining environment to assess closure and monitoring","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Residual pit lakes from mining are often dangerous to sample for water quality. Thus, pit lakes may be rarely (or never) sampled. This study developed new technology in which water-sampling devices, mounted on an unmanned aerial vehicle (UAV), were used to sample three pit lakes in Nevada, USA, during 1&nbsp;week in 2017. Water-quality datasets from two of the three pit lakes on public lands, Dexter and Clipper, are presented here. The current conditions of the Dexter pit lake were assessed by examining cation and anion concentration changes that have occurred over a 17-year period since the pit lake was last sampled in 2000. Data gathered during this sampling campaign assessed 2017 conditions of the Dexter and Clipper pit lakes by comparing constituent concentrations to the Nevada Division of Environmental Protection (NDEP) pit lake water-quality requirements, indicating that selenium concentrations exceeded regulatory standards. We compared our sampling data for Dexter lake to prior water-quality data from the Dexter pit lake collected in 1999 and 2000. This comparison for the Dexter pit lake indicates that evapoconcentration may have caused increasing cation and anion concentrations. This UAV sampling approach can potentially incorporate the use of additional multiparameter probes: pH, oxygen concentration, turbidity, or chlorophyll. Some limitations of this UAV water-sampling methodology are battery duration, weather conditions, and payload capacity.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10661-021-09316-3","usgsCitation":"Straight, B., Castendyk, D., McKnight, D.M., Newman, C.P., Filiatreault, P., and Pino, A., 2021, Using an unmanned aerial vehicle water sampler to gather data in a pit-lake mining environment to assess closure and monitoring: Environmental Monitoring and Assessment, v. 193, 572, 15 p., https://doi.org/10.1007/s10661-021-09316-3.","productDescription":"572, 15 p.","ipdsId":"IP-106667","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":387977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Colorado","active":true,"usgs":false}],"preferred":false,"id":821354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Filiatreault, Pierre","contributorId":264329,"corporation":false,"usgs":false,"family":"Filiatreault","given":"Pierre","email":"","affiliations":[{"id":54440,"text":"BBA","active":true,"usgs":false}],"preferred":false,"id":821356,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pino, Americo","contributorId":264330,"corporation":false,"usgs":false,"family":"Pino","given":"Americo","email":"","affiliations":[],"preferred":false,"id":821357,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230149,"text":"70230149 - 2021 - Geomorphic history of Lake Manix, Mojave Desert, California: Evolution of a complex terminal lake basin","interactions":[],"lastModifiedDate":"2022-03-30T11:44:22.518916","indexId":"70230149","displayToPublicDate":"2021-08-13T06:36:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic history of Lake Manix, Mojave Desert, California: Evolution of a complex terminal lake basin","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The US Environmental Protection Agency's short-term freshwater effluent test methods include a fish (<i>Pimephales promelas</i>), a cladoceran (<i>Ceriodaphnia dubia</i>), and a green alga (<i>Raphidocelis subcapitata</i>). There is a recognized need for additional taxa to accompany the three standard species for effluent testing. An appropriate additional taxon is unionid mussels because mussels are widely distributed, live burrowed in sediment and filter particles from the water column for food, and exhibit high sensitivity to a variety of contaminants. Multiple studies were conducted to develop a relevant and robust short-term test method for mussels. We first evaluated the comparative sensitivity of two mussel species (<i>Villosa constricta</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Lampsilis siliquoidea</i>) and two standard species (<i>P. promelas</i><span>&nbsp;</span>and<span>&nbsp;</span><i>C. dubia</i>) using two mock effluents prepared by mixing ammonia and five metals (cadmium, copper, nickel, lead, and zinc) or a field-collected effluent in 7-day exposures. Both mussel species were equally or more sensitive (more than two-fold) to effluents compared with the standard species. Next, we refined the mussel test method by first determining the best feeding rate of a commercial algal mixture for three age groups (1, 2, and 3 weeks old) of<span>&nbsp;</span><i>L. siliquoidea</i><span>&nbsp;</span>in a 7-day feeding experiment, and then used the derived optimal feeding rates to assess the sensitivity of the three ages of juveniles in a 7-day reference toxicant (sodium chloride [NaCl]) test. Juvenile mussels grew substantially (30%–52% length increase) when the 1- or 2-week-old mussels were fed 2 ml twice daily and the 3-week-old mussels were fed 3 ml twice daily. The 25% inhibition concentrations (IC25s) for NaCl were similar (314–520 mg Cl/L) among the three age groups, indicating that an age range of 1- to 3-week-old mussels can be used for a 7-day test. Finally, using the refined test method, we conducted an interlaboratory study among 13 laboratories to evaluate the performance of a 7-day NaCl test with<span>&nbsp;</span><i>L. siliquoidea</i>. Eleven laboratories successfully completed the test, with more than 80% control survival and reliable growth data. The IC25s ranged from 296 to 1076 mg Cl/L, with a low (34%) coefficient of variation, indicating that the proposed method for<span>&nbsp;</span><i>L. siliquoidea</i><span>&nbsp;</span>has acceptable precision.<span>&nbsp;</span><i>Environ Toxicol Chem</i><span>&nbsp;</span>2021;40:3392–3409. © 2021 SETAC</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2021.107901","usgsCitation":"Reheis, M.C., Miller, D., Paces, J.B., Oviatt, C.G., Redwine, J.R., Kaufman, D., Bright, J., and Wan, E., 2021, Geomorphic history of Lake Manix, Mojave Desert, California: Evolution of a complex terminal lake basin: Geomorphology, v. 392, 107901, 26 p., https://doi.org/10.1016/j.geomorph.2021.107901.","productDescription":"107901, 26 p.","ipdsId":"IP-126944","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":451199,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2021.107901","text":"Publisher Index Page"},{"id":436243,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MPY6R6","text":"USGS data release","linkHelpText":"Uranium- and thorium-isotope data used to estimate uranium-series ages of Pleistocene lake deposits in the Lake Manix basin, Mojave Desert, California"},{"id":397848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Manix, Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.3836669921875,\n              34.334364487026306\n            ],\n            [\n              -114.4281005859375,\n              34.334364487026306\n            ],\n            [\n              -114.4281005859375,\n              35.36217605914681\n            ],\n            [\n              -116.3836669921875,\n              35.36217605914681\n            ],\n            [\n              -116.3836669921875,\n              34.334364487026306\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"392","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":839277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":238721,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":839278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paces, James B. 0000-0002-9809-8493","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":215864,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":839279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oviatt, Charles G.","contributorId":36580,"corporation":false,"usgs":false,"family":"Oviatt","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":839280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Redwine, Joanna R.","contributorId":130966,"corporation":false,"usgs":false,"family":"Redwine","given":"Joanna","email":"","middleInitial":"R.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":839281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaufman, Darrell","contributorId":215397,"corporation":false,"usgs":false,"family":"Kaufman","given":"Darrell","affiliations":[{"id":39235,"text":"School of Earth Sciences & Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":839282,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":839283,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":839284,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044307,"text":"70044307 - 2021 - Middle and late Pleistocene pluvial history of Newark Valley, central Nevada, USA","interactions":[],"lastModifiedDate":"2022-03-08T14:26:20.169269","indexId":"70044307","displayToPublicDate":"2021-08-12T11:51:08","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5614,"text":"Special Papers of the Geological Society of America","printIssn":"0072-1077","active":true,"publicationSubtype":{"id":24}},"title":"Middle and late Pleistocene pluvial history of Newark Valley, central Nevada, USA","docAbstract":"<div class=\"book-chapter-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-BookSectionsText widget-instance-BookChaptertext\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"BookSectionsText\"><div id=\"sectionID-132111887\" class=\"category-section content-section js-content-section\" data-statsid=\"132111887\"><p>Newark Valley lies between the two largest pluvial lake systems in the Great Basin, Lake Lahontan and Lake Bonneville. Soils and geomorphology, stratigraphic interpretations, radiocarbon ages, and amino acid racemization geochronology analyses were employed to interpret the relative and numerical ages of lacustrine deposits in the valley. The marine oxygen isotope stage (MIS) 2 beach barriers are characterized by well-preserved morphology and deposits with youthful soil development, with Bwk horizons and maximum stage I+ carbonate morphology. Radiocarbon ages of gastropods and tufas within these MIS 2–age deposits permit construction of a latest Pleistocene lake-level curve for Newark Valley, including a maximum limiting age of 13,780 ± 50 <sup>14</sup>C yr B.P. for the most recent highstand, and they provide a calibration point for soil development in lacustrine deposits in the central Great Basin. The MIS 8–age to MIS 4–age beach barriers are higher in elevation and represent a larger lake than existed during MIS 2. The beach barriers have subdued morphology, are only preserved in short segments, and have stronger soil development, with Bkm and/or Bkmt horizons and maximum stage III+ to IV carbonate morphology. Newark Lake reached elevations higher than the MIS 2 highstand during at least two additional pluvial periods, MIS 16 and MIS 12, 10, or 8. These oldest lacustrine deposits do not have preserved shoreline features and are represented only by gravel lags, buried deposits, and buried soils with similar strong soil development. This sequence of middle and latest Pleistocene shorelines records a long-term pluvial history in this basin that remained internally drained for the last four or more pluvial cycles. </p><p>Obtaining numerical ages from material within lacustrine deposits in the Great Basin can be challenging. Amino acid D/L values from gastropod shells and mollusk valves proved to be a valuable tool to correlate lacustrine deposits within Newark Valley. Comparison of soils and geomorphology results to independent <sup>36</sup>Cl cosmogenic nuclide ages from a different study indicated unexpected changes in rates of soil development during the past ~200,000 yr and suggested that common stratigraphic changes in lake stratigraphy could obscure incremental changes in soil development and/or complicate <sup>36</sup>Cl cosmogenic nuclide age estimates. </p></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From saline to freshwater: The diversity of western lakes in space and time","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2019.2536(18)","usgsCitation":"Redwine, J.L., Burke, R.M., Reheis, M.C., Bowers, R.J., Bright, J., Kaufman, D.S., and Forester, R.M., 2021, Middle and late Pleistocene pluvial history of Newark Valley, central Nevada, USA, chap. <i>of</i> From saline to freshwater: The diversity of western lakes in space and time: Special Papers of the Geological Society of America, v. 536, p. 357-397, https://doi.org/10.1130/2019.2536(18).","productDescription":"41 p.","startPage":"357","endPage":"397","ipdsId":"IP-010433","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":396502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin, Newark Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.0146484375,\n              37.29153547292737\n            ],\n            [\n              -114.027099609375,\n              37.29153547292737\n            ],\n            [\n              -114.027099609375,\n              41.071069130806414\n            ],\n            [\n              -120.0146484375,\n              41.071069130806414\n            ],\n            [\n              -120.0146484375,\n              37.29153547292737\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"536","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":836232,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":836233,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Redwine, Joanna L.","contributorId":104581,"corporation":false,"usgs":true,"family":"Redwine","given":"Joanna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":835546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burke, R. M.","contributorId":37793,"corporation":false,"usgs":true,"family":"Burke","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":835544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowers, R. J.","contributorId":283422,"corporation":false,"usgs":false,"family":"Bowers","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":836231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":835550,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaufman, D. S.","contributorId":18006,"corporation":false,"usgs":false,"family":"Kaufman","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":835549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forester, R. M.","contributorId":76332,"corporation":false,"usgs":true,"family":"Forester","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835545,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70222134,"text":"70222134 - 2021 - Lakes of the western United States: Novel tools and new views","interactions":[],"lastModifiedDate":"2022-02-03T17:51:21.844074","indexId":"70222134","displayToPublicDate":"2021-08-12T11:51:07","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Lakes of the western United States: Novel tools and new views","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From saline to freshwater: The diversity of western lakes in space and time","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2021.2536(001)","usgsCitation":"Starratt, S.W., and Rosen, M., 2021, Lakes of the western United States: Novel tools and new views, chap. <i>of</i> From saline to freshwater: The diversity of western lakes in space and time, v. 536, https://doi.org/10.1130/2021.2536(001).","ipdsId":"IP-129793","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":395375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"536","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":819622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R. 0000-0003-3991-0522","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":261267,"corporation":false,"usgs":false,"family":"Rosen","given":"Michael R.","affiliations":[{"id":52787,"text":"formerly USGS  California Water Science Center","active":true,"usgs":false}],"preferred":false,"id":819623,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222581,"text":"sir20215042 - 2021 - Using microbial source tracking to identify fecal contamination sources in an embayment in Hempstead Harbor on Long Island, New York","interactions":[],"lastModifiedDate":"2022-04-14T16:05:36.89814","indexId":"sir20215042","displayToPublicDate":"2021-08-12T10:45:00","publicationYear":"2021","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":"2021-5042","displayTitle":"Using Microbial Source Tracking To Identify Fecal Contamination Sources in an Embayment in Hempstead Harbor on Long Island, New York","title":"Using microbial source tracking to identify fecal contamination sources in an embayment in Hempstead Harbor on Long Island, New York","docAbstract":"<p>The U.S. Geological Survey worked collaboratively with the New York State Department of Environmental Conservation to assess the potential sources of fecal contamination entering Hempstead Harbor, an embayment on the northern shore of Nassau County, Long Island, New York. Water samples are routinely collected by the New York State Department of Environmental Conservation in the harbor and analyzed for fecal coliform bacteria, an indicator of fecal contamination, to determine the need for closure of shellfish beds for harvest and consumption. Fecal coliform and other bacteria are an indicator of the potential presence of pathogenic (disease-causing) bacteria. However, indicator bacteria alone cannot determine the biological or geographical sources of contamination; therefore, microbial source tracking was implemented to determine various biological sources of contamination. In addition, information such as the location, weather and season, surrounding land use, and additional water-quality data (including nutrient and stable isotopes of nitrate analyses) for the location where a sample was collected help determine the geographical source and conveyance of land-based water to the embayment.</p><p>Our analysis revealed an abundance of human and canine fecal contamination throughout the Hempstead Harbor landscape and that water from municipal separate storm sewer system conveyances was the most likely transport mechanism of this fecal contamination. Resuspension of bed sediment may contribute to fecal contamination in the harbor, but more targeted analyses are needed to support this finding. There was little evidence of groundwater-contributing fecal bacteria by direct discharge from the subsurface. A classification scheme was developed to convey the degree of fecal contamination to stakeholders and resource managers. Based on this classification scheme, the culvert at Glenwood Road and the outfall and the spillway at Skillman Street were identified as locations that contribute substantial fecal contamination to Hempstead Harbor.</p>","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215042","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Tagliaferri, T.N., Fisher, S.C., Kephart, C.M., Cheung, N., Reed, A.P., and Welk, R.J., 2021, Using microbial source tracking to identify fecal contamination sources in an embayment in Hempstead Harbor on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2021–5042, 19 p., https://doi.org/10.3133/sir20215042.","productDescription":"Report: vii, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-116390","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":387786,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215042/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2021-5042"},{"id":387710,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5042/sir20215042.XML"},{"id":387709,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5042/images"},{"id":387707,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20215033","text":"Scientific Investigations Report 2021–5033","linkHelpText":"- Overview and methodology for a study to identify fecal contamination sources using microbial source tracking in seven embayments on Long Island, New York"},{"id":387706,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"USGS water data for the nation"},{"id":387704,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5042/coverthb.jpg"},{"id":387705,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5042/sir20215042.pdf","text":"Report","size":"2.04 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5042"}],"country":"United States","state":"New York","otherGeospatial":"Hempstead Harbor, Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.6197280883789,\n              40.80653332421558\n            ],\n            [\n              -73.63929748535156,\n              40.89353200999427\n            ],\n            [\n              -73.71345520019531,\n              40.87692019266084\n            ],\n            [\n              -73.73680114746094,\n              40.8725069777884\n            ],\n            [\n              -73.69972229003906,\n              40.79769722250925\n            ],\n            [\n              -73.6197280883789,\n              40.80653332421558\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Site Description</li><li>Approach and Methods</li><li>Results</li><li>Classification of Source Sites</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-08-09","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Natalie 0000-0003-2987-0440 ncheung@usgs.gov","orcid":"https://orcid.org/0000-0003-2987-0440","contributorId":258429,"corporation":false,"usgs":true,"family":"Cheung","given":"Natalie","email":"ncheung@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Ariel P. 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":219992,"corporation":false,"usgs":true,"family":"Reed","given":"Ariel","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820629,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820630,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70229226,"text":"70229226 - 2021 - The consequences of dam passage for downstream-migrating American eel in the Penobscot River, Maine","interactions":[],"lastModifiedDate":"2022-03-03T16:42:51.630111","indexId":"70229226","displayToPublicDate":"2021-08-12T10:35:49","publicationYear":"2021","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":"The consequences of dam passage for downstream-migrating American eel in the Penobscot River, Maine","docAbstract":"<p><span>American eel (</span><i>Anguilla rostrata</i><span>) often pass hydropower dams during adult spawning migrations. We conducted a 4-year acoustic telemetry study that characterized passage risks through two dams (West Enfield and Milford) in the Penobscot River, Maine, USA. We released tagged fish (</span><i>n</i><span>&nbsp;= 355) at two sites, estimated survival and delay under variable river conditions, and compared performance among dammed and free-flowing river sections. Survival rates (standardized per river kilometre, rkm) were lower at West Enfield (Φ</span><sub>rkm</sub><span>&nbsp;= 0.984 ± 0.006 SE) and Milford (Φ</span><sub>rkm</sub><span>&nbsp;= 0.966 ± 0.007 SE) compared with undammed River sections (Φ</span><sub>rkm</sub><span>&nbsp;= 0.998 ± 0.0003 SE). Cumulative mortality was 8.7% (4.4 km) and 14.2% (5.5 km) through dammed sections and 8.7% throughout the rest of the river (58.1 km). Fish that already passed an upstream dam incurred higher downstream mortality compared with individuals without passage experience. Additionally, fish endured long delays at dams, and &gt;10% of fish were delayed &gt;24&nbsp;h. Low flows exacerbated the risk of mortality and delay. These results offer evidence for direct, latent, and sublethal consequences of dam passage for migrating eels.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0402","usgsCitation":"Mensinger, M., Blomberg, E., and Zydlewski, J.D., 2021, The consequences of dam passage for downstream-migrating American eel in the Penobscot River, Maine: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 8, p. 1181-1192, https://doi.org/10.1139/cjfas-2020-0402.","productDescription":"12 p.","startPage":"1181","endPage":"1192","ipdsId":"IP-124062","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500798,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/107118","text":"External Repository"},{"id":396708,"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        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.69064331054688,\n              44.94341743150153\n            ],\n            [\n              -68.59176635742188,\n              44.94341743150153\n            ],\n            [\n              -68.59176635742188,\n              45.24298649437894\n            ],\n            [\n              -68.69064331054688,\n              45.24298649437894\n            ],\n            [\n              -68.69064331054688,\n              44.94341743150153\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mensinger, Matthew A.","contributorId":287641,"corporation":false,"usgs":false,"family":"Mensinger","given":"Matthew A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":836974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomberg, Erik J.","contributorId":287642,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":836975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":836973,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","interactions":[{"subject":{"id":70202002,"text":"70202002 - 2021 - Perspectives on the paleolimnology of the late Eocene Florissant lake from diatom and sedimentary evidence at Clare’s Quarry, Teller County, Colorado, USA","indexId":"70202002","publicationYear":"2021","noYear":false,"chapter":"10","title":"Perspectives on the paleolimnology of the late Eocene Florissant lake from diatom and sedimentary evidence at Clare’s Quarry, Teller County, Colorado, USA"},"predicate":"IS_PART_OF","object":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"id":1},{"subject":{"id":70204951,"text":"70204951 - 2021 - Lake Andrei: A pliocene pluvial lake in Eureka Valley, Eastern California","indexId":"70204951","publicationYear":"2021","noYear":false,"chapter":"8","title":"Lake Andrei: A pliocene pluvial lake in Eureka Valley, Eastern California"},"predicate":"IS_PART_OF","object":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"id":2},{"subject":{"id":70214977,"text":"70214977 - 2019 - Holocene sedimentary architecture and paleoclimate variability at Mono Lake, California","indexId":"70214977","publicationYear":"2019","noYear":false,"chapter":"19","title":"Holocene sedimentary architecture and paleoclimate variability at Mono Lake, California"},"predicate":"IS_PART_OF","object":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"id":3}],"lastModifiedDate":"2021-11-08T15:31:24.702283","indexId":"70225733","displayToPublicDate":"2021-08-12T08:42:20","publicationYear":"2021","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"From saline to freshwater: The diversity of western lakes in space and time","docAbstract":"<p><span>Beginning with the nineteenth-century territorial surveys, the lakes and lacustrine deposits in what is now the western United States were recognized for their economic value to the expanding nation. In the latter half of the twentieth century, these systems have been acknowledged as outstanding examples of depositional systems serving as models for energy exploration and environmental analysis, many with global applications in the twenty-first century. The localities presented in this volume extend from exposures of the Eocene Green River Formation in Utah and Florissant Formation in Colorado, through the Pleistocene and Holocene lakes of the Great Basin to lakes along the California and Oregon coast. The chapters explore environmental variability, sedimentary processes, fire history, the impact of lakes on crustal flexure, and abrupt climate events in arid regions, often through the application of new tools and proxies.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/SPE536","usgsCitation":"2021, From saline to freshwater: The diversity of western lakes in space and time, v. 536, xii, 506 p., https://doi.org/10.1130/SPE536.","productDescription":"xii, 506 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":391468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"536","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":826440,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826441,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70223202,"text":"70223202 - 2021 - Holocene evolution of sea-surface temperature and salinity in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2021-09-14T16:54:11.190706","indexId":"70223202","displayToPublicDate":"2021-08-12T08:03:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Holocene evolution of sea-surface temperature and salinity in the Gulf of Mexico","docAbstract":"<div class=\"article-section__content en main\"><p>Flows into and out of the Gulf of Mexico (GoM) are integral to North Atlantic ocean circulation, and help facilitate poleward heat transport in the Western Hemisphere. The GoM also serves as a key source of moisture for much of North America. Modern patterns of sea-surface temperature (SST) and salinity in the GoM are influenced by the Loop Current, its eddy-shedding dynamics, and the ensuing interplay with coastal processes. Here we present sub-centennial-scale records of SST and stable oxygen isotope composition of seawater (<img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/0ab33ba3-5adf-434f-bd1c-b48fc204fd2b/palo21077-math-0001.png\" alt=\"urn:x-wiley:25724517:media:palo21077:palo21077-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/0ab33ba3-5adf-434f-bd1c-b48fc204fd2b/palo21077-math-0001.png\"><sup>18</sup>O<sub>sw</sub>; a proxy for salinity) over the past 11,700 years using planktic foraminiferal geochemistry in sediments from the Garrison Basin, northwestern GoM. We measured<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/f7f0b0d0-0435-42ca-8977-41ff3778eba6/palo21077-math-0002.png\" alt=\"urn:x-wiley:25724517:media:palo21077:palo21077-math-0002\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/f7f0b0d0-0435-42ca-8977-41ff3778eba6/palo21077-math-0002.png\">O and magnesium-to-calcium ratios in tests of<span>&nbsp;</span><i>Globigerinoides ruber</i><span>&nbsp;</span>(white) to generate quantitative estimates of past sea-surface conditions. Our results replicate and extend late Holocene reconstructions from the Garrison Basin, using which we then create composites of SST and<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/71b1f56d-78fd-4002-8f9a-10fcc73e9851/palo21077-math-0003.png\" alt=\"urn:x-wiley:25724517:media:palo21077:palo21077-math-0003\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/71b1f56d-78fd-4002-8f9a-10fcc73e9851/palo21077-math-0003.png\"><sup>18</sup>O<sub>sw</sub>. We find considerable centennial and millennial-scale variability in both SST and<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/e7dcb00a-0535-47ac-aaed-9d00b1e485ca/palo21077-math-0004.png\" alt=\"urn:x-wiley:25724517:media:palo21077:palo21077-math-0004\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/e7dcb00a-0535-47ac-aaed-9d00b1e485ca/palo21077-math-0004.png\"><sup>18</sup>O<sub>sw</sub>, although their evolution over the Holocene is distinct. Whereas mean-annual SSTs display pronounced millennial-scale variability,<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/763c0798-9404-4d3b-84b1-5d98dbed926b/palo21077-math-0005.png\" alt=\"urn:x-wiley:25724517:media:palo21077:palo21077-math-0005\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/763c0798-9404-4d3b-84b1-5d98dbed926b/palo21077-math-0005.png\"><sup>18</sup>O<sub>sw</sub><span>&nbsp;</span>exhibits a secular trend spanning multiple millennia and points to increasing northwestern GoM surface salinity since the early Holocene. We then synthesize available Holocene records from across the GoM, and alongside the Garrison Basin composite, uncover substantial, yet regionally consistent, spatiotemporal variability. Finally, we discuss the role of the Loop Current and coastal influx of freshwater in imposing these heterogeneities. We conclude that dynamic surface-ocean changes occurred across the GoM over the Holocene.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021PA004221","usgsCitation":"Thiumalai, K., Richey, J.N., and Quinn, T.M., 2021, Holocene evolution of sea-surface temperature and salinity in the Gulf of Mexico: Paleoceanography and Paleoclimatology, v. 36, no. 8, e2021PA004221, 16 p., https://doi.org/10.1029/2021PA004221.","productDescription":"e2021PA004221, 16 p.","ipdsId":"IP-120738","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":436244,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q5L9VU","text":"USGS data release","linkHelpText":"Radiocarbon Dates and Foraminiferal Geochemistry Data for Sediment Core Collected from Garrison Basin, Gulf of Mexico"},{"id":388097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.07861328125,\n              27.00040800352175\n            ],\n            [\n              -83.60595703125,\n              29.611670115197377\n            ],\n            [\n              -86.37451171875,\n              29.859701442126756\n            ],\n            [\n              -88.9453125,\n              29.76437737516313\n            ],\n            [\n              -88.92333984375,\n              28.671310915880834\n            ],\n            [\n              -91.91162109375,\n              29.286398892934763\n            ],\n            [\n              -95.07568359375,\n              29.017748018496047\n            ],\n            [\n              -97.09716796875,\n              27.11781284232125\n            ],\n            [\n              -96.94335937499999,\n              24.647017162630366\n            ],\n            [\n              -97.18505859374999,\n              21.922663209325922\n            ],\n            [\n              -95.3173828125,\n              20.838277806058933\n            ],\n            [\n              -81.54052734375,\n              24.307053283225915\n            ],\n            [\n              -83.07861328125,\n              27.00040800352175\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Thiumalai, Kaustubh 0000-0002-7875-4182","orcid":"https://orcid.org/0000-0002-7875-4182","contributorId":264344,"corporation":false,"usgs":false,"family":"Thiumalai","given":"Kaustubh","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":821389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":821390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quinn, Terrence M.","contributorId":82949,"corporation":false,"usgs":false,"family":"Quinn","given":"Terrence","email":"","middleInitial":"M.","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":821391,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70224645,"text":"70224645 - 2021 - Understanding the future of big sagebrush regeneration: challenges of projecting complex ecological processes","interactions":[],"lastModifiedDate":"2021-10-01T12:32:21.081687","indexId":"70224645","displayToPublicDate":"2021-08-12T07:30:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the future of big sagebrush regeneration: challenges of projecting complex ecological processes","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Regeneration is an essential demographic step that affects plant population persistence, recovery after disturbances, and potential migration to track suitable climate conditions. Challenges of restoring big sagebrush (<i>Artemisia tridentata</i>) after disturbances including fire-invasive annual grass interactions exemplify the need to understand the complex regeneration processes of this long-lived, woody species that is widespread across the semiarid western U.S. Projected 21st century climate change is expected to increase drought risks and intensify restoration challenges. A detailed understanding of regeneration will be crucial for developing management frameworks for the big sagebrush region in the 21st century. Here, we used two complementary models to explore spatial and temporal relationships in the potential of big sagebrush regeneration representing (1) range-wide big sagebrush regeneration responses in natural vegetation (process-based model) and (2) big sagebrush restoration seeding outcomes following fire in the Great Basin and the Snake River Plains (regression-based model). The process-based model suggested substantial geographic variation in long-term regeneration trajectories with central and northern areas of the big sagebrush region remaining climatically suitable, whereas marginal and southern areas are becoming less suitable. The regression-based model suggested, however, that restoration seeding may become increasingly more difficult, illustrating the particularly difficult challenge of promoting sagebrush establishment after wildfire in invaded landscapes. These results suggest that sustaining big sagebrush on the landscape throughout the 21st century may climatically be feasible for many areas and that uncertainty about the long-term sustainability of big sagebrush may be driven more by dynamics of biological invasions and wildfire than by uncertainty in climate change projections. Divergent projections of the two models under 21st century climate conditions encourage further study to evaluate potential benefits of re-creating conditions of uninvaded, unburned natural big sagebrush vegetation for post-fire restoration seeding, such as seeding in multiple years and, for at least much of the northern Great Basin and Snake River Plains, the control of the fire-invasive annual grass cycle.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3695","usgsCitation":"Schlaepfer, D.R., Bradford, J., Lauenroth, W.K., and Shriver, R.K., 2021, Understanding the future of big sagebrush regeneration: challenges of projecting complex ecological processes: Ecosphere, v. 12, no. 8, e03695, 26 p., https://doi.org/10.1002/ecs2.3695.","productDescription":"e03695, 26 p.","ipdsId":"IP-126859","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":451203,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3695","text":"Publisher Index Page"},{"id":436245,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MB2QB8","text":"USGS data release","linkHelpText":"Simulated rangewide big sagebrush regeneration estimates and relationships with abiotic variables as function of soils under historical and future climate projections"},{"id":390101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.68359374999999,\n              28.536274512989916\n            ],\n            [\n              -100.546875,\n              28.536274512989916\n            ],\n            [\n              -100.546875,\n              49.724479188712984\n            ],\n            [\n              -125.68359374999999,\n              49.724479188712984\n            ],\n            [\n              -125.68359374999999,\n              28.536274512989916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":824526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shriver, Robert K 0000-0002-4590-4834","orcid":"https://orcid.org/0000-0002-4590-4834","contributorId":222834,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert","email":"","middleInitial":"K","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":824527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230438,"text":"70230438 - 2021 - Paleoclimate record for Lake Coyote, California, and the Last Glacial Maximum and deglacial paleohydrology (25 to 14 cal ka) of the Mojave River","interactions":[],"lastModifiedDate":"2022-04-13T12:17:55.623098","indexId":"70230438","displayToPublicDate":"2021-08-12T07:14:28","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Paleoclimate record for Lake Coyote, California, and the Last Glacial Maximum and deglacial paleohydrology (25 to 14 cal ka) of the Mojave River","docAbstract":"<p>Lake Coyote, California, which formed in one of five basins along the Mojave River, acted both as a part of the Lake Manix basin and, after the formation of Afton Canyon and draining of Lake Manix ca. 24.5 calibrated (cal) ka, a side basin that was filled episodically for the next 10,000 yr. As such, its record of lake level is an important counterpart to the record of the other terminal basin, Lake Mojave, following the draining of Lake Manix. We studied lake and fluvial deposits and their geomorphology and identified five principal periods of recurring lakes in the Coyote basin by dating mollusks. Several of these periods in detail consist of multiple lake-rise pulses, for which we identified specific fluvial deposits that represent the Mojave River entering the basin. The pulsed record of rapid lake rise and decline is interpreted as switching of the Mojave River between Lake Coyote and Lake Mojave. A composite lake record for both basins shows nearly continuous lake maintenance by the Mojave River from 24.5 cal ka to ca. 14 cal ka. One potential gap in the lake record, ca. 22.7–21.8 cal ka, may indicate either temporary river routing to yet another basin or a dry climatic period. The Mojave River discharge was sufficient to maintain at least one terminal lake throughout most of the Last Glacial Maximum and deglacial periods, indicating that paleoclimate was moist and/or cool well into the Bølling-Allerød and that the lake records may not be sensitive to variations from moderate to high discharge. Nuances of lake-level changes in both the Coyote and Mojave basins are difficult to interpret as paleoclimatic events because the current chronologic control on lake levels from nearshore deposits does not provide the necessary precision.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From Saline to Freshwater: The Diversity of Western Lakes in Space and Time","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2018.2536(12)","usgsCitation":"Miller, D., Dudash, S.L., and McGeehin, J., 2021, Paleoclimate record for Lake Coyote, California, and the Last Glacial Maximum and deglacial paleohydrology (25 to 14 cal ka) of the Mojave River, chap. <i>of</i> From Saline to Freshwater: The Diversity of Western Lakes in Space and Time, v. 536, p. 201-220, https://doi.org/10.1130/2018.2536(12).","productDescription":"20 p.","startPage":"201","endPage":"220","ipdsId":"IP-087116","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":398633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Coyote","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.10302734374999,\n              34.08906131584994\n            ],\n            [\n              -114.76318359375,\n              34.08906131584994\n            ],\n            [\n              -114.76318359375,\n              36.19109202182454\n            ],\n            [\n              -118.10302734374999,\n              36.19109202182454\n            ],\n            [\n              -118.10302734374999,\n              34.08906131584994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"536","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":840431,"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":840432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P.","contributorId":290192,"corporation":false,"usgs":false,"family":"McGeehin","given":"John P.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":840433,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229486,"text":"70229486 - 2021 - Tolerance of northern Gulf of Mexico eastern oysters to chronic warming at extreme salinities","interactions":[],"lastModifiedDate":"2022-03-09T13:10:17.276921","indexId":"70229486","displayToPublicDate":"2021-08-12T07:06:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"title":"Tolerance of northern Gulf of Mexico eastern oysters to chronic warming at extreme salinities","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>The&nbsp;eastern oyster,&nbsp;</span><i>Crassostrea virginica</i><span>, provides critical ecosystem services and supports valuable fishery and&nbsp;aquaculture industries&nbsp;in northern&nbsp;Gulf of Mexico&nbsp;(nGoM) subtropical&nbsp;estuaries&nbsp;where it is grown subtidally. Its upper critical thermal limit is not well defined, especially when combined with extreme&nbsp;salinities. The cumulative mortalities of the&nbsp;progenies&nbsp;of wild&nbsp;</span><i>C. virginica</i><span>&nbsp;</span>from four nGoM estuaries differing in mean annual salinity, acclimated to low (4.0), moderate (20.0), and high (36.0) salinities at 28.9&nbsp;°C (84&nbsp;°F) and exposed to increasing target temperatures of 33.3&nbsp;°C (92&nbsp;°F), 35.6&nbsp;°C (96&nbsp;°F) or 37.8&nbsp;°C (100&nbsp;°F), were measured over a three-week period. Oysters of all stocks were the most sensitive to increasing temperatures at low salinity, dying quicker (i.e., lower median lethal time, LT<sub>50</sub>) than at the moderate and high salinities and resulting in high cumulative mortalities at all target temperatures. Oysters of all stocks at moderate salinity died the slowest with high cumulative mortalities only at the two highest temperatures. The F1 oysters from the more southern and hypersaline Upper Laguna Madre estuary were generally more tolerant to prolonged higher temperatures (higher LT<sub>50</sub>) than stocks originating from lower salinity estuaries, most notably at the highest salinity. Using the measured temperatures oysters were exposed to, 3-day median lethal Celsius degrees (LD<sub>50</sub>) were estimated for each stock at each salinity. The lowest 3-day LD<sub>50</sub><span>&nbsp;</span>(35.1–36.0&nbsp;°C) for all stocks was calculated at a salinity of 4.0, while the highest 3-day LD<sub>50</sub><span>&nbsp;</span>(40.1–44.0&nbsp;°C) was calculated at a salinity of 20.0.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2021.103072","usgsCitation":"Marshall, D., Coxe, N., La Peyre, M., Walton, W., Rikard, F.S., Beseres Pollack, J., Kelly, M., and La Peyre, J., 2021, Tolerance of northern Gulf of Mexico eastern oysters to chronic warming at extreme salinities: Journal of Thermal Biology, v. 100, 103072, 7 p., https://doi.org/10.1016/j.jtherbio.2021.103072.","productDescription":"103072, 7 p.","ipdsId":"IP-126113","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":451207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.lsu.edu/biosci_pubs/3821","text":"Publisher Index Page"},{"id":396900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.91015624999999,\n              26.03704188651584\n            ],\n            [\n              -90.52734374999999,\n              26.03704188651584\n            ],\n            [\n              -90.52734374999999,\n              30.826780904779774\n            ],\n            [\n              -97.91015624999999,\n              30.826780904779774\n            ],\n            [\n              -97.91015624999999,\n              26.03704188651584\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marshall, D.A.","contributorId":287622,"corporation":false,"usgs":false,"family":"Marshall","given":"D.A.","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":837590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coxe, N.C.","contributorId":288255,"corporation":false,"usgs":false,"family":"Coxe","given":"N.C.","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":837591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":837592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walton, W.C.","contributorId":287624,"corporation":false,"usgs":false,"family":"Walton","given":"W.C.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":837593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rikard, F. Scott","contributorId":288303,"corporation":false,"usgs":false,"family":"Rikard","given":"F.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":837656,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beseres Pollack, J.","contributorId":288257,"corporation":false,"usgs":false,"family":"Beseres Pollack","given":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":837594,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kelly, M.A.","contributorId":221161,"corporation":false,"usgs":false,"family":"Kelly","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":837595,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"La Peyre, J.F.","contributorId":274908,"corporation":false,"usgs":false,"family":"La Peyre","given":"J.F.","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":837596,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70250489,"text":"70250489 - 2021 - A decade of Indigenous knowledge research in the Yukon River basin: Reflection on “Indigenous observations of change in the lower Yukon River basin, Alaska”","interactions":[],"lastModifiedDate":"2023-12-13T12:42:16.030677","indexId":"70250489","displayToPublicDate":"2021-08-12T06:35:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1912,"text":"Human Organization","active":true,"publicationSubtype":{"id":10}},"title":"A decade of Indigenous knowledge research in the Yukon River basin: Reflection on “Indigenous observations of change in the lower Yukon River basin, Alaska”","docAbstract":"Herman-Mercer reflects on her first article\" Indigenous Observations of Change in the Lower Yukon River Basin, Alaska.\" The observations and knowledge presented in this study have become part of an ever-growing catalog of studies representing, and part of a chorus of Indigenous communities across the Arctic and Subarctic conveying, the impacts of climate change in this region. The broad observations of environmental change reported in Indigenous Observations 2011, including impacts to subsistence and safety, are more dire and apparent than ten years ago when this article was published. Instances of diseased salmon continue to be reported by subsistence fishers, and the salmon runs have declined so severely since Indigenous Observations 2011 was published that there have been several years in which the commercial and or the subsistence salmon fishery was closed on the Yukon River, with impacts to household economies, food security, and culture. The then-new dangers associated with travel on river ice continue to be a concern across the Yukon River where the thinner river ice and inconsistent freeze up and break up have become the norm.","language":"English","publisher":"Allen Press","doi":"10.17730/1938-3525-80.3.234","usgsCitation":"Herman-Mercer, N.M., 2021, A decade of Indigenous knowledge research in the Yukon River basin: Reflection on “Indigenous observations of change in the lower Yukon River basin, Alaska”: Human Organization, v. 80, no. 3, p. 234-245, https://doi.org/10.17730/1938-3525-80.3.234.","productDescription":"12 p.","startPage":"234","endPage":"245","ipdsId":"IP-127572","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":423507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -151.3698543925109,\n              65.34261892653754\n            ],\n            [\n              -151.68120708623943,\n              66.55605341597791\n            ],\n            [\n              -153.27309716025454,\n              67.3851884195264\n            ],\n            [\n              -156.11641050936893,\n              67.01468045214966\n            ],\n            [\n              -158.93229527807202,\n              66.01818382867299\n            ],\n            [\n              -158.9479242042816,\n              65.14377115586316\n            ],\n            [\n              -160.33958830338563,\n              63.805461253932776\n            ],\n            [\n              -162.3735667565706,\n              62.814590119580544\n            ],\n            [\n              -164.63606461273733,\n              62.933493910066574\n            ],\n            [\n              -165.66423129704444,\n              62.37336478923149\n            ],\n            [\n              -162.5695154822119,\n              61.55277945170184\n            ],\n            [\n              -161.3156541824767,\n              61.07003796172654\n            ],\n            [\n              -162.89039931590332,\n              60.620626522938494\n            ],\n            [\n              -162.97415258659933,\n              59.91002088419452\n            ],\n            [\n              -162.02867131773965,\n              60.001435376219035\n            ],\n            [\n              -159.046166309126,\n              60.499567891050674\n            ],\n            [\n              -156.12003925037868,\n              60.3513142717041\n            ],\n            [\n              -153.14594036713515,\n              60.84438493998863\n            ],\n            [\n              -154.0628361658968,\n              61.74106939237609\n            ],\n            [\n              -154.0092745757295,\n              62.30938809143791\n            ],\n            [\n              -150.78667497806128,\n              63.13972135418035\n            ],\n            [\n              -151.3698543925109,\n              65.34261892653754\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"80","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":890133,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70226896,"text":"70226896 - 2021 - Channel-amphitheatre landforms resulting from liquefaction flowslides during rapid drawdown of glacial Lake Fraser, British Columbia, Canada","interactions":[],"lastModifiedDate":"2021-12-20T12:36:50.309139","indexId":"70226896","displayToPublicDate":"2021-08-12T06:32:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Channel-amphitheatre landforms resulting from liquefaction flowslides during rapid drawdown of glacial Lake Fraser, British Columbia, Canada","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0080\"><span>Unusual channel-amphitheatre&nbsp;landforms&nbsp;are present in Late Pleistocene–early Holocene, subaqueous fan and delta deposits in the&nbsp;glacial Lake&nbsp;Fraser basin, central British Columbia. The lake formed during the decay of the last&nbsp;</span>Cordilleran Ice Sheet<span>&nbsp;and drained ~11,500 years ago during a large outburst flood. The fronts of a delta and two subaqueous fans consisting of silt to fine sand are marked by branching networks of wide, nearly flat channels that terminate upstream in digitate, steep-walled amphitheatres. We propose that these channel-amphitheatre landforms formed by&nbsp;liquefaction&nbsp;flowslides that were induced by the rapid drawdown of glacial Lake Fraser during the outburst flood. Similar geomorphic forms, which we believe also to be associated with rapid drawdowns of large Late Pleistocene–early Holocene lakes, occur elsewhere in North America. A recent&nbsp;tailings dam&nbsp;failure and an intentional breaching of a 100-year-old hydroelectric dam provide insights into the processes responsible for the landforms. By using geomechanical analysis, we show how rapid lake drawdown can trigger liquefaction flowslides in deposits of silt to fine sand. The novelty of our approach lies in combining geomechanical reasoning with geomorphic analogues to understand histories of ancient glacier-dammed lakes and of the glacial lake outburst floods that are sourced from them.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2021.107898","usgsCitation":"Miller, B.G., Iverson, R.M., Clague, J.J., Geertsema, M., and Roberts, N.J., 2021, Channel-amphitheatre landforms resulting from liquefaction flowslides during rapid drawdown of glacial Lake Fraser, British Columbia, Canada: Geomorphology, v. 392, 107898, 16 p., https://doi.org/10.1016/j.geomorph.2021.107898.","productDescription":"107898, 16 p.","ipdsId":"IP-129398","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":451210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2021.107898","text":"Publisher Index Page"},{"id":393089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Lake Fraser","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.15899658203125,\n              53.93426243166255\n            ],\n            [\n              -124.332275390625,\n              53.93426243166255\n            ],\n            [\n              -124.332275390625,\n              54.21787604366902\n            ],\n            [\n              -125.15899658203125,\n              54.21787604366902\n            ],\n            [\n              -125.15899658203125,\n              53.93426243166255\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"392","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Brendan G.N.","contributorId":270212,"corporation":false,"usgs":false,"family":"Miller","given":"Brendan","email":"","middleInitial":"G.N.","affiliations":[{"id":56112,"text":"British Columbia Ministry of Forests, Lands, Natural Resource Operations and Rural Development","active":true,"usgs":false}],"preferred":false,"id":828690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clague, John J.","contributorId":270213,"corporation":false,"usgs":false,"family":"Clague","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":56114,"text":"Department of Earth Sciences, Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":828692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geertsema, Marten","contributorId":270214,"corporation":false,"usgs":false,"family":"Geertsema","given":"Marten","affiliations":[{"id":56112,"text":"British Columbia Ministry of Forests, Lands, Natural Resource Operations and Rural Development","active":true,"usgs":false}],"preferred":false,"id":828693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, Nicholas J.","contributorId":270215,"corporation":false,"usgs":false,"family":"Roberts","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":56115,"text":"Mineral Resources Tasmania and Department of Earth Sciences, Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":828694,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222457,"text":"cir1477 - 2021 - Cooperative Fish and Wildlife Research Units program—2020 research abstracts","interactions":[],"lastModifiedDate":"2021-08-11T17:56:21.174783","indexId":"cir1477","displayToPublicDate":"2021-08-11T14:00:00","publicationYear":"2021","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":"1477","displayTitle":"Cooperative Fish and Wildlife Research Units Program—2020 Research Abstracts","title":"Cooperative Fish and Wildlife Research Units program—2020 research abstracts","docAbstract":"<p>The U.S. Geological Survey (USGS) serves as the research arm of the U.S. Department of the Interior and has established a series of strategic goals that focus its efforts on serving the American people. Within the USGS, the Ecosystems Mission Area is responsible for conducting and sponsoring research that addresses the following thematic objectives under the overarching strategic goal of “Science that Supports Our Resources in Wild and Urban Spaces, and the Landscapes In-Between”:</p><ul><li>Science supporting a legacy of sustainable fish and wildlife,</li><li>Social science and human components in land, water, and wildlife conservation,</li><li>Trusted science supporting hard decisions on at-risk species,</li><li>Science to battle costly biological threats,</li><li>Providing science for managing risks and responding to extreme events,</li><li>Science for preservation and restoration of iconic landscapes, and</li><li>Science to support adaptation and address impacts of climate and land change.</li></ul><p>This report provides abstracts of most of the ongoing and recently completed research investigations of the USGS Cooperative Fish and Wildlife Research Units program. The report is organized by the following major science themes that contribute to the objectives of the USGS:</p><ul><li>Advanced Technologies</li><li>Climate Science</li><li>Decision Science</li><li>Ecological Flows</li><li>Ecosystem Services</li><li>Energy</li><li>Fish and Wildlife Health and Disease</li><li>Human Dimensions</li><li>Invasive Species</li><li>Landscape Ecology</li><li>Species and Habitat Management</li><li>Species of Greatest Conservation Need</li><li>Threatened and Endangered Species</li></ul>","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1477","usgsCitation":"Thompson, J.D., Jodice, P.G.R., Dennerline, D.E., and Childs, D.E., eds., 2021, Cooperative Fish and Wildlife Research Units program—2020 research abstracts: U.S. Geological Survey Circular 1477, 200 p., https://doi.org/10.3133/cir1477.","productDescription":"iv, 200 p.","numberOfPages":"200","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-120733","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":387534,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1477/coverthb.jpg"},{"id":387535,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1477/cir1477.pdf","text":"Report","size":"58.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1477"},{"id":387868,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/cir1478","text":"Circular 1478","linkHelpText":"- Cooperative Fish and Wildlife Research Units Program—2020 Year in Review"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/ecosystems/cooperative-research-units\" data-mce-href=\"https://www.usgs.gov/ecosystems/cooperative-research-units\">Cooperative Fish and Wildlife Research Units Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, Mail Stop 303<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>About the Cooperative Fish and Wildlife Research Units Program</li><li>Project Abstracts</li><li>List of Projects</li><li>Advanced Technologies</li><li>Climate Science</li><li>Decision Science</li><li>Ecological Flows</li><li>Ecosystem Services</li><li>Energy</li><li>Fish and Wildlife Health and Disease</li><li>Human Dimensions</li><li>Invasive Species</li><li>Landscape Ecology</li><li>Species and Habitat Management</li><li>Species of Greatest Conservation Need</li><li>Threatened and Endangered Species</li><li>Cooperators</li><li>List of Species</li><li>Contact Information</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-07-29","noUsgsAuthors":false,"publicationDate":"2021-07-29","publicationStatus":"PW","contributors":{"editors":[{"text":"Thompson, John D. 0000-0003-4113-2440 jthompson@usgs.gov","orcid":"https://orcid.org/0000-0003-4113-2440","contributorId":189375,"corporation":false,"usgs":true,"family":"Thompson","given":"John","email":"jthompson@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":820098,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":820099,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Dennerline, Donald E. 0000-0001-8345-315X ddennerline@usgs.gov","orcid":"https://orcid.org/0000-0001-8345-315X","contributorId":192857,"corporation":false,"usgs":true,"family":"Dennerline","given":"Donald","email":"ddennerline@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":820100,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Childs, Dawn E. 0000-0001-8544-9517 dchilds@usgs.gov","orcid":"https://orcid.org/0000-0001-8544-9517","contributorId":201348,"corporation":false,"usgs":true,"family":"Childs","given":"Dawn E.","email":"dchilds@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":820101,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}}
,{"id":70218396,"text":"cir1478 - 2021 - Cooperative Fish and Wildlife Research Units program—2020 Year in review","interactions":[],"lastModifiedDate":"2021-08-11T17:57:43.983858","indexId":"cir1478","displayToPublicDate":"2021-08-11T14:00:00","publicationYear":"2021","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":"1478","displayTitle":"Cooperative Fish and Wildlife Research Units Program—2020 Year in Review","title":"Cooperative Fish and Wildlife Research Units program—2020 Year in review","docAbstract":"<p>Established in 1935, the Cooperative Fish and Wildlife Research Units program (CRU program) is a unique cooperative partnership among State fish and wildlife agencies, universities, the Wildlife Management Institute, the U.S. Geological Survey (USGS), and the U.S. Fish and Wildlife Service. Designed to meet the scientific needs of natural resource management agencies and the necessity for trained professionals in the growing field of wildlife management, the program has grown from the original 9 wildlife-only units to a program that today includes 40 Cooperative Fish and Wildlife Research Units located on university campuses in 38 States. The partnerships that form each unit are some of the USGS’s strongest links to Federal and State land and natural resource agencies as mandated by the Cooperative Research and Training Units Act of 1960 (P.L. 86–686). This report highlights the activities and accomplishments of the program and its cooperators for calendar year 2020.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1478","usgsCitation":"Thompson, J.D., Dennerline, D.E., Childs, D.E., and Jodice, P.G.R., 2021, Cooperative Fish and Wildlife Research Units program—2020 Year in review (ver. 1.1, March 2021): U.S. Geological Survey Circular 1478, 22 p., https://doi.org/10.3133/cir1478.","productDescription":"Report: v, 22 p.; Version History","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-120735","costCenters":[{"id":203,"text":"Cooperative Research Unit Atlanta","active":false,"usgs":true}],"links":[{"id":387869,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/cir1477","text":"Circular 1477","linkHelpText":"- Cooperative Fish and Wildlife Research Units Program—2020 Research Abstracts"},{"id":383622,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1478/coverthb2.jpg"},{"id":383829,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1478/versionHist.txt","size":"1016 B","linkFileType":{"id":2,"text":"txt"}},{"id":383623,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1478/cir1478.pdf","text":"Report","size":"7.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1478"}],"edition":"Version 1.1: March 2021; Version 1.0: February 2021","contact":"<p>Director, <a href=\"https://www.usgs.gov/ecosystems/cooperative-research-units\" data-mce-href=\"https://www.usgs.gov/ecosystems/cooperative-research-units\">Cooperative Fish and Wildlife Research Units Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, Mail Stop 303<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Chief’s and Deputy Chief’s Message</li><li>About the Cooperative Fish and Wildlife Research Units Program</li><li>Performance of the Cooperative Fish and Wildlife Research Units Program</li><li>Mission of the Cooperative Fish and Wildlife Research Units Program</li><li>Diversity, Equity, and Inclusion Committee</li><li>Cooperator Success Stories</li><li>Awards and Accolades</li><li>Professional Services, Leadership, and Editorial Positions</li><li>Acknowledgments</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-02-26","revisedDate":"2021-03-04","noUsgsAuthors":false,"publicationDate":"2021-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, John D. 0000-0003-4113-2440 jthompson@usgs.gov","orcid":"https://orcid.org/0000-0003-4113-2440","contributorId":189375,"corporation":false,"usgs":true,"family":"Thompson","given":"John","email":"jthompson@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":811003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennerline, Donald E. 0000-0001-8345-315X ddennerline@usgs.gov","orcid":"https://orcid.org/0000-0001-8345-315X","contributorId":192857,"corporation":false,"usgs":true,"family":"Dennerline","given":"Donald","email":"ddennerline@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":811004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childs, Dawn E. 0000-0001-8544-9517 dchilds@usgs.gov","orcid":"https://orcid.org/0000-0001-8544-9517","contributorId":201348,"corporation":false,"usgs":true,"family":"Childs","given":"Dawn E.","email":"dchilds@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":811005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","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":811006,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223127,"text":"gip211 - 2021 - Student and recent graduate opportunities","interactions":[{"subject":{"id":98716,"text":"gip114 - 2015 - Internships, employment opportunities, and research grants","indexId":"gip114","publicationYear":"2015","noYear":false,"title":"Internships, employment opportunities, and research grants"},"predicate":"SUPERSEDED_BY","object":{"id":70223127,"text":"gip211 - 2021 - Student and recent graduate opportunities","indexId":"gip211","publicationYear":"2021","noYear":false,"title":"Student and recent graduate opportunities"},"id":1},{"subject":{"id":70175562,"text":"gip165 - 2016 - Grant opportunities for academic research and training","indexId":"gip165","publicationYear":"2016","noYear":false,"title":"Grant opportunities for academic research and training"},"predicate":"SUPERSEDED_BY","object":{"id":70223127,"text":"gip211 - 2021 - Student and recent graduate opportunities","indexId":"gip211","publicationYear":"2021","noYear":false,"title":"Student and recent graduate opportunities"},"id":2},{"subject":{"id":70175929,"text":"gip166 - 2016 - Student and recent graduate employment opportunities","indexId":"gip166","publicationYear":"2016","noYear":false,"title":"Student and recent graduate employment opportunities"},"predicate":"SUPERSEDED_BY","object":{"id":70223127,"text":"gip211 - 2021 - Student and recent graduate opportunities","indexId":"gip211","publicationYear":"2021","noYear":false,"title":"Student and recent graduate opportunities"},"id":3}],"lastModifiedDate":"2021-08-11T20:52:47.302421","indexId":"gip211","displayToPublicDate":"2021-08-11T13:05:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"211","displayTitle":"Student and Recent Graduate Opportunities","title":"Student and recent graduate opportunities","docAbstract":"<p>As an unbiased, multidisciplinary science organization, the U.S. Geological Survey (USGS) is dedicated to the timely, relevant, and impartial study of the health of our ecosystems and environment, our natural resources, the impacts of climate and land-use change, and the natural hazards that affect our lives. Opportunities for undergraduate and graduate students, as well as recent graduates, to participate in USGS science are available in the selected programs described in this publication. Please note: U.S. citizenship is required for Federal government positions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip211","usgsCitation":"Corey, L.K., 2021, Student and recent graduate opportunities: U.S. Geological Survey General Information Product 211, 2 p., https://doi.org/10.3133/gip211.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-129706","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":387854,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/211/coverthb2.jpg"},{"id":387855,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/211/gip211.pdf","text":"Report","size":"5.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 211"}],"contact":"<p><a href=\"https://www.usgs.gov/about/organization/science-support/office-science-quality-and-integrity\" data-mce-href=\"https://www.usgs.gov/about/organization/science-support/office-science-quality-and-integrity\">Office of Science Quality and Integrity</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>MS 911<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Student Employment Opportunities at USGS</li><li>Internships and Fellowships</li><li>USGS Partnerships with Universities</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-08-11","noUsgsAuthors":false,"publicationDate":"2021-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Corey, Laura K. 0000-0001-9763-3100 lcorey@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-3100","contributorId":2738,"corporation":false,"usgs":true,"family":"Corey","given":"Laura","email":"lcorey@usgs.gov","middleInitial":"K.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":821063,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221895,"text":"ofr20211070 - 2021 - Optimization of salt marsh management at the Long Island National Wildlife Refuge Complex, New York, through use of structured decision making","interactions":[],"lastModifiedDate":"2021-08-11T16:24:11.519939","indexId":"ofr20211070","displayToPublicDate":"2021-08-11T10:25:00","publicationYear":"2021","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":"2021-1070","displayTitle":"Optimization of Salt Marsh Management at the Long Island National Wildlife Refuge Complex, New York, Through Use of Structured Decision Making","title":"Optimization of salt marsh management at the Long Island National Wildlife Refuge Complex, New York, through use of structured decision making","docAbstract":"<p>Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing tidal marsh management decisions at the Long Island National Wildlife Refuge Complex in New York. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of five marsh management units within the refuge complex and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that could be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per marsh management unit, that could maximize total management benefits at different cost constraints at the refuge-complex scale. Results indicated that, for the objectives and actions considered here, total management benefits may increase consistently up to about <span>$24,000</span>, but that further expenditures may yield diminishing return on investment. Potential management actions in optimal portfolios at total costs less than <span>$24,000</span> consistently included approaches for increasing drainage from the marsh surface within the marsh management units. The potential management benefits were derived from expected improvements in surface-water drainage and capacity for marsh elevation to keep pace with sea-level rise, and presumed increases in numbers of spiders (as an indicator of trophic health) and tidal marsh obligate birds. The prototype presented here does not resolve management decisions; rather, it provides a framework for decision making at the Long Island National Wildlife Refuge Complex that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuges.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211070","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., and Williams, M.R., 2021, Optimization of salt marsh management at the Long Island National Wildlife Refuge Complex, New York, through use of structured decision making (ver. 1.1, August 2021): U.S. Geological Survey Open-File Report 2021–1070, 34 p., https://doi.org/10.3133/ofr20211070.","productDescription":"Report: vi, 34 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-126538","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387845,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2021/1070/versionHist.txt","size":"640 B","linkFileType":{"id":2,"text":"txt"}},{"id":387151,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1070/ofr20211070.pdf","text":"Report","size":"3.49 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1070"},{"id":387150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1070/coverthb2.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.0478515625,\n              40.576412521044425\n            ],\n            [\n              -73.6138916015625,\n              40.54720023441049\n            ],\n            [\n              -73.1854248046875,\n              40.60978237983301\n            ],\n            [\n              -72.66357421875,\n              40.77638178482896\n            ],\n            [\n              -72.015380859375,\n              40.96330795307353\n            ],\n            [\n              -71.795654296875,\n              41.091772220976644\n            ],\n            [\n              -72.2625732421875,\n              41.18278832811288\n            ],\n            [\n              -72.7294921875,\n              41.02964338716638\n            ],\n            [\n              -73.245849609375,\n              40.94256444133327\n            ],\n            [\n              -73.4820556640625,\n              40.967455873296714\n            ],\n            [\n              -73.707275390625,\n              40.8595252289932\n            ],\n            [\n              -73.8775634765625,\n              40.79301881008675\n            ],\n            [\n              -74.0203857421875,\n              40.693134153308065\n            ],\n            [\n              -74.0478515625,\n              40.576412521044425\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: July 13, 2021; Version 1.1: August 11, 2021","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Regional Structured Decision-Making Framework</li><li>Application to the Long Island National Wildlife Refuge Complex</li><li>Results of Constrained Optimization</li><li>Considerations for Optimizing Salt Marsh Management</li><li>References Cited</li><li>Appendix 1. Regional Influence Diagrams</li><li>Appendix 2. Utility Functions for the Long Island National Wildlife Refuge Complex</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-07-13","revisedDate":"2021-08-11","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":819240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikula, Toni","contributorId":208473,"corporation":false,"usgs":false,"family":"Mikula","given":"Toni","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819241,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Monica R.","contributorId":261000,"corporation":false,"usgs":false,"family":"Williams","given":"Monica","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":819242,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70222521,"text":"sir20215052 - 2021 - American and Sacramento Rivers, California, erodibility measurements and model","interactions":[],"lastModifiedDate":"2021-08-11T17:57:23.670031","indexId":"sir20215052","displayToPublicDate":"2021-08-11T08:55:06","publicationYear":"2021","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":"2021-5052","displayTitle":"American and Sacramento Rivers, California, Erodibility Measurements and Model","title":"American and Sacramento Rivers, California, erodibility measurements and model","docAbstract":"<h1>Executive Summary&nbsp; </h1><p>A previous report by the authors described sediment sampling and drilling by the U.S. Geological Survey (USGS) beside the American and Sacramento Rivers near Sacramento, California, in support of a U.S. Army Corps of Engineers project focused on regional flood control. The drilling was performed to define lithology, extract samples for laboratory testing, and perform borehole erosion tests (BETs). The U.S. Department of Agriculture (USDA) performed jet erodibility tests (JETs) near each drilling site, and a team from Texas A&amp;M University performed laboratory tests with an erosion function apparatus (EFA). Collectively, the effort was intended to reveal spatial variations in sediment erodibility and provide data for use in a model to simulate morphological response to a major flood. The data collected by the USGS are available in a public data release.</p><p>This report, developed in cooperation with the U.S. Army Corps of Engineers, provides comparisons of the three types of measurements of the erodibility of riverbed sediments. The BET is performed in the field and reveals erodibility of sediments below the bed surface. The JET is likewise performed in the field but reveals only erodibility of exposed sediments. The EFA test is done in the laboratory and was performed on soils extracted from different depths beneath the bed surface, in many cases reconstituted for laboratory testing. Tests were performed at nominally similar locations but differed by meters to tens of meters in horizontal locations.</p><p>The comparison was undertaken to investigate differences among results obtained by the individual measurement approaches and to elucidate pros and cons of each method. The critical shear stress to initiate erosion and the rate of change of erosion rate per unit increase of excess shear stress, sometimes referred to as the erosion coefficient, served as the primary basis for comparison. The three test methods in some cases resulted in order of magnitude differences in estimates of these parameters. Some differences could be attributed to variances in site location or result from testing surface sediment versus a deeper layer, but systematic differences are also evident in the results. The tests performed in the laboratory using the EFA resulted in much lower values of critical shear stress and much higher values of the erosion coefficient compared to the JET tests performed by the USDA team on surface sediments. Critical shear stress was poorly resolved in the BET results because of the limited number of results per site, but the erosion coefficients derived from BET results were systematically lower than those obtained using the EFA.</p><p>A new, simplified approach is also proposed to estimate the increase in channel cross-sectional area during a large flood, given data describing the initial river cross section, riverbed erodibility parameters, and peak flood discharge and duration. The model runs until the cross section erodes to an equilibrium condition or the flood ends. Output describes the area of the cross section at the end of the simulation and the time required to reach equilibrium if it was reached within the simulated period. The model assumes unique, constant values for both the critical shear stress and the erosion coefficient and represents the fluid mechanics in a simplified way, making it of limited value for quantitative predictions. It does, however, provide an indication of which cross sections are most likely to undergo the greatest change in the design event and can be used to investigate sensitivity of erosion predictions to variability in sediment erodibility measurements.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215052","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers","programNote":"Cooperative Research Units","usgsCitation":"Work, P., and Livsey, D., 2021, American and Sacramento Rivers, California, erodibility measurements and model: U.S. Geological Survey Scientific Investigations Report 2021–5052, 30 p., https://doi.org/10.3133/sir20215052.","productDescription":"Report: vii, 30 p.; Data Release","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-122004","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":387634,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5052/covrthb.jpg"},{"id":387637,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5052/images"},{"id":387635,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5052/sir20215052.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":387636,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5052/sir20215052.xml"},{"id":387638,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96MCT2Q","linkHelpText":"Borehole Erosion Test data, Lower American and Sacramento Rivers, California, 2019 (ver. 4.0, July 2021)"}],"country":"United States","state":"California","otherGeospatial":"American River, Sacramento River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.58981323242188,\n              38.41378642476067\n            ],\n            [\n              -121.34124755859375,\n              38.41378642476067\n            ],\n            [\n              -121.34124755859375,\n              38.60292007223949\n            ],\n            [\n              -121.58981323242188,\n              38.60292007223949\n            ],\n            [\n              -121.58981323242188,\n              38.41378642476067\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Executive Summary&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Comparison of the Three Methods for Quantifying Erodibility&nbsp;&nbsp;</li><li>Comparison of Test Results&nbsp;&nbsp;</li><li>Equilibrium Model for Cross-Section Erosion&nbsp;&nbsp;</li><li>Summary and Conclusions&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. Plots Relating Erosion and Shear Stress Data Derived from Borehole Erosion Tests for the American and Sacramento Rivers</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-08-11","noUsgsAuthors":false,"publicationDate":"2021-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Livsey, Daniel N. 0000-0002-2028-6128 dlivsey@usgs.gov","orcid":"https://orcid.org/0000-0002-2028-6128","contributorId":181870,"corporation":false,"usgs":true,"family":"Livsey","given":"Daniel","email":"dlivsey@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820455,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223725,"text":"70223725 - 2021 - Identification of the Gulf of Mexico as an important high-use habitat for leatherback turtles from Central America","interactions":[],"lastModifiedDate":"2021-09-03T12:55:54.51574","indexId":"70223725","displayToPublicDate":"2021-08-11T07:52:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Identification of the Gulf of Mexico as an important high-use habitat for leatherback turtles from Central America","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Endangered leatherback sea turtles (<i>Dermochelys coriacea</i>) are wide-ranging, long-distance migrants whose movements are often associated with environmental cues. We examined the spatial distribution and habitat use for 33 satellite-tracked leatherbacks from nesting beaches on the Caribbean coast of Costa Rica and Panama from 2004 to 2018, an important nesting population for the leatherback Northwest Atlantic Distinct Population Segment. Tracking revealed the use of two distinct regions, the Gulf of Mexico (GoM,<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;18) and the North Atlantic Ocean (NAO,<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;15). We developed density utilization maps to elucidate high-use habitats, migration pathways, and seasonal movements. GoM leatherbacks were found in three concentrated high-use habitats connected by a migration pathway, while NAO leatherbacks were primarily found in a single, large high-use habitat. Leatherbacks in both regions have the potential to interact with Atlantic pelagic longline fisheries based on seasonal overlap with high fishing effort. Our findings suggest that the GoM is an important destination for leatherbacks from the Caribbean coast of Central America with seasonal movements between high-use habitats within the GoM. While leatherbacks are utilizing high-use habitats in both the NAO and the GoM, the proportion of individuals migrating into the GoM increased over the study period. Additionally, NAO leatherbacks have increased the distance they travel in the first 90&nbsp;d. Regional differences in movement and spatial distribution of high-use habitats are important considerations when developing conservation plans for the Northwest Atlantic leatherback population.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3722","usgsCitation":"Evans, D., Valverde, R., Ordonez, C., and Carthy, R.R., 2021, Identification of the Gulf of Mexico as an important high-use habitat for leatherback turtles from Central America: Ecosphere, v. 12, no. 8, e03722, 14 p., https://doi.org/10.1002/ecs2.3722.","productDescription":"e03722, 14 p.","ipdsId":"IP-104471","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":451214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3722","text":"Publisher Index Page"},{"id":388835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.85937499999999,\n              27.059125784374068\n            ],\n            [\n              -84.72656249999999,\n              32.54681317351514\n            ],\n            [\n              -94.5703125,\n              32.54681317351514\n            ],\n            [\n              -99.49218749999999,\n              29.53522956294847\n            ],\n            [\n              -100.1953125,\n              21.289374355860424\n            ],\n            [\n              -91.7578125,\n              17.308687886770034\n            ],\n            [\n              -88.24218749999999,\n              19.642587534013032\n            ],\n            [\n              -82.265625,\n              23.241346102386135\n            ],\n            [\n              -80.85937499999999,\n              27.059125784374068\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, D.R.","contributorId":265164,"corporation":false,"usgs":false,"family":"Evans","given":"D.R.","email":"","affiliations":[{"id":54616,"text":"Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":822495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valverde, R.A.","contributorId":265267,"corporation":false,"usgs":false,"family":"Valverde","given":"R.A.","email":"","affiliations":[{"id":54640,"text":"Ordoñez","active":true,"usgs":false}],"preferred":false,"id":822496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ordonez, C.","contributorId":265268,"corporation":false,"usgs":false,"family":"Ordonez","given":"C.","email":"","affiliations":[{"id":54640,"text":"Ordoñez","active":true,"usgs":false}],"preferred":false,"id":822497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":822498,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230595,"text":"70230595 - 2021 - Radiometric performance of Landsat 8 Collection 2 products","interactions":[],"lastModifiedDate":"2022-04-18T12:21:02.808921","indexId":"70230595","displayToPublicDate":"2021-08-11T07:18:02","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric performance of Landsat 8 Collection 2 products","docAbstract":"<p>The U.S. Geological Survey (USGS) archive of Earth images acquired by Landsat 1-8 sensors is organized in collections of consistently calibrated, geolocated, and processed data products. Such an organization ensures consistent quality of the archived data within a collection over time and across all instruments within the Landsat mission. In December 2020, the USGS completed reprocessing of the archived Landsat data and released a new collection, Collection 2, which introduced surface reflectance and surface temperature Level-2 products, implemented improved ground control and elevation datasets, and brought several geometric and radiometric calibration enhancements. Radiometric enhancements include absolute and relative gain updates for both imaging sensors, Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS), aboard Landsat 8 and a change in calculation of bias for OLI. In this paper we present the analysis of Collection 2 Landsat 8 products demonstrating stability over the mission lifetime, the improvement in OLI signal to noise ratio and along-track striping performance resulting from enhanced bias correction, as well as reduction of cross-track striping in TIRS data as a result of relative gain updates. In addition, we discuss effects of two safehold events that Landsat 8 experienced in November 2020 on the radiometric calibration of both sensors and product performance.<br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 11829, Earth Observing Systems XXVI","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SPIE Optical Engineering + Applications","conferenceDate":"2021","conferenceLocation":"San Diego, California, United States","language":"English","publisher":"SPIE Digital Library","doi":"10.1117/12.2596198","usgsCitation":"Micijevic, E., Haque, M., and Barsi, J., 2021, Radiometric performance of Landsat 8 Collection 2 products, <i>in</i> Proceedings Volume 11829, Earth Observing Systems XXVI, San Diego, California, United States, 2021, https://doi.org/10.1117/12.2596198.","ipdsId":"IP-132442","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":398914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":290334,"corporation":false,"usgs":false,"family":"Micijevic","given":"Esad","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":840814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, Md Obaidul 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":290335,"corporation":false,"usgs":false,"family":"Haque","given":"Md Obaidul","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":840815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barsi, Julia","contributorId":251781,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":840816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227258,"text":"70227258 - 2021 - The response of streams in the Adirondack region of New York to projected changes in sulfur and nitrogen deposition under changing climate","interactions":[],"lastModifiedDate":"2022-01-05T13:12:29.380875","indexId":"70227258","displayToPublicDate":"2021-08-11T07:09:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The response of streams in the Adirondack region of New York to projected changes in sulfur and nitrogen deposition under changing climate","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\" style=\"\"><span>Modeling studies project that in the future surface waters in the northeast US will continue to recover from&nbsp;acidification&nbsp;over decades following reductions in atmospheric&nbsp;sulfur dioxide&nbsp;and&nbsp;nitrogen oxides&nbsp;emissions. However, these studies generally assume stationary climatic conditions over the simulation period and ignore the linkages between soil and surface&nbsp;water recovery&nbsp;from acid deposition and changing climate, despite fundamental impacts to&nbsp;watershed processes&nbsp;and comparable time scales for both phenomena. In this study, the integrated biogeochemical model PnET-BGC was applied to two montane forest watersheds in the Adirondack region of New York, USA to evaluate the recovery of surface waters from historical acidification in response to possible future changes in climate and atmospheric sulfur and nitrogen deposition. Statistically downscaled climate scenarios on average project warmer temperatures and greater precipitation for the Adirondack by the end of the century. Model simulations suggest under constant climate, acid-sensitive Buck Creek would gain 12.8 μeq L</span><sup>−1</sup><span>&nbsp;</span>of acid neutralizing capacity (ANC) by 2100 from large reductions in deposition, whereas acid insensitive Archer Creek is projected to gain 7.9 μeq L<sup>−1</sup><span>&nbsp;</span>of ANC. However, climate change could limit those improvements in acid-base status. Under climate change, a negative offset relative to the ANC increases with no climate change are projected for both streams by 2100. In acid-insensitive Archer Creek the negative offset (−8.5 μeq L<sup>−1</sup>) was large enough that ANC is projected to decrease by −0.6 μeq L<sup>−1</sup>, whereas in acid-sensitive Buck Creek, the negative offset (−0.4 μeq L<sup>−1</sup>) resulted in a slight decline of the projected future ANC increase to 12.4 μeq L<sup>−1</sup>. Calculated target loads for 2150 for both sites decreased when future climate change was considered in model simulations, which suggests further reductions in acid deposition may be necessary to restore ecosystem structure and function under a changing climate.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.149626","usgsCitation":"Shao, S., Burns, D., Shen, H., Chen, Y., Russell, A.G., and Driscoll, C., 2021, The response of streams in the Adirondack region of New York to projected changes in sulfur and nitrogen deposition under changing climate: Science of the Total Environment, v. 800, 149626, 13 p., https://doi.org/10.1016/j.scitotenv.2021.149626.","productDescription":"149626, 13 p.","ipdsId":"IP-128626","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":393906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.443115234375,\n              42.76314586689494\n            ],\n            [\n              -73.201904296875,\n              42.76314586689494\n            ],\n            [\n              -73.201904296875,\n              45.081278612418764\n            ],\n            [\n              -75.443115234375,\n              45.081278612418764\n            ],\n            [\n              -75.443115234375,\n              42.76314586689494\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"800","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shao, Shuai","contributorId":222597,"corporation":false,"usgs":false,"family":"Shao","given":"Shuai","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":830149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":830150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shen, Huizhong 0000-0003-1335-8477","orcid":"https://orcid.org/0000-0003-1335-8477","contributorId":270927,"corporation":false,"usgs":false,"family":"Shen","given":"Huizhong","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":830151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Yilin 0000-0001-5532-4115","orcid":"https://orcid.org/0000-0001-5532-4115","contributorId":270928,"corporation":false,"usgs":false,"family":"Chen","given":"Yilin","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":830152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russell, Armistead G 0000-0003-2027-8870","orcid":"https://orcid.org/0000-0003-2027-8870","contributorId":270929,"corporation":false,"usgs":false,"family":"Russell","given":"Armistead","email":"","middleInitial":"G","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":830153,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Driscoll, Charles T.","contributorId":240874,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":830154,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227722,"text":"70227722 - 2021 - Merging scientific silos: Integrating specialized approaches for thinking about and using spatial data that can provide new directions for persistent fisheries problems","interactions":[],"lastModifiedDate":"2022-01-27T13:14:18.416151","indexId":"70227722","displayToPublicDate":"2021-08-11T07:08:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Merging scientific silos: Integrating specialized approaches for thinking about and using spatial data that can provide new directions for persistent fisheries problems","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>By merging our specialization silos, fisheries professionals can expand the options that are available to them to address difficult fisheries and aquatic conservation problems, which require an understanding of spatial patterns in geographically large systems. Our purpose is to start a profession-wide conversation about additional ways to think about and use spatial data. We use case studies to illustrate how identifying and merging multiple specialized approaches (e.g., fish tracking, fish surveys, geomorphology, social science, jurisdictional viewpoints) can create an ensemble that has advantages over the use of any single approach alone. Thus, our perspective is not about solving a specific technical problem with a new tool, but about the benefits of identifying gaps in data from one specialized approach, and filling those gaps with data from other specialized approaches. If multiple approaches are coordinated through a larger, problem-specific planning strategy, the result can be better outcomes for difficult problems through creative integration. We encourage others to add constructive ideas to the views initiated here.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10645","usgsCitation":"Mather, M.E., Smith, J., Boles, K.M., Taylor, R., Kennedy, C., Hitchman, S.M., Rogosch, J., and Frank, H., 2021, Merging scientific silos: Integrating specialized approaches for thinking about and using spatial data that can provide new directions for persistent fisheries problems: Fisheries Magazine, v. 46, no. 10, p. 485-494, https://doi.org/10.1002/fsh.10645.","productDescription":"10 p.","startPage":"485","endPage":"494","ipdsId":"IP-108763","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451219,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/fsh.10645","text":"External Repository"},{"id":394964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":831912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Joseph M.","contributorId":272285,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph M.","affiliations":[{"id":53980,"text":"NMFS","active":true,"usgs":false}],"preferred":false,"id":831913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boles, Kayla M.","contributorId":272286,"corporation":false,"usgs":false,"family":"Boles","given":"Kayla","email":"","middleInitial":"M.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Ryland","contributorId":272287,"corporation":false,"usgs":false,"family":"Taylor","given":"Ryland","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Cristina","contributorId":272288,"corporation":false,"usgs":false,"family":"Kennedy","given":"Cristina","affiliations":[{"id":56377,"text":"mafw","active":true,"usgs":false}],"preferred":false,"id":831916,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hitchman, Sean M.","contributorId":272289,"corporation":false,"usgs":false,"family":"Hitchman","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831917,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogosch, Jane S.","contributorId":272290,"corporation":false,"usgs":false,"family":"Rogosch","given":"Jane S.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831918,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frank, Holly","contributorId":272291,"corporation":false,"usgs":false,"family":"Frank","given":"Holly","affiliations":[{"id":56378,"text":"ferc","active":true,"usgs":false}],"preferred":false,"id":831919,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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