{"pageNumber":"468","pageRowStart":"11675","pageSize":"25","recordCount":184582,"records":[{"id":70223183,"text":"70223183 - 2021 - A multi-decadal geochemical record from Rano Aroi (Easter Island/Rapa Nui): Implications for the environment, climate and humans during the last two millennia","interactions":[],"lastModifiedDate":"2021-08-17T12:55:59.370674","indexId":"70223183","displayToPublicDate":"2021-08-14T07:53:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A multi-decadal geochemical record from Rano Aroi (Easter Island/Rapa Nui): Implications for the environment, climate and humans during the last two millennia","docAbstract":"

The small and remote Easter Island (Rapa Nui) has a complex and still partially unknown history of human colonization and interactions with the environment. Previous research from sedimentary archives collected in the three freshwater bodies of Rapa Nui document dramatic environmental changes over the last two millennia. Yet, the characteristics of sediments and paleoenvironmental records are challenging to interpret, mainly due to poor temporal resolution, hiatuses and sediment mixing.

In this study, we reconstruct past changes in lithogenic inputs, weathering processes, redox conditions, productivity and water levels in the Rano Aroi wetland over the last 2000 years through the determination of major, trace and rare earth elements in a new peat core collected in 2017. The chronology is based on 8 14C AMS dates for the upper 1.5 m and provides decadal to multi-decadal resolution which is unprecedented for the island of Rapa Nui. The multielemental proxies depict seven distinct chronological phases marked by well-defined geochemical transitions. With only a few minor fluctuations, climate conditions were dry and the mire was mildly anoxic during the first millennium (0–1000 CE) to the arrival of the first Polynesians in Rapa Nui (800–1300 CE) and until ∼1400 CE, followed by wetter conditions afterwards. The record documents with unprecedented accuracy and resolution intense droughts occurring during the middle Little Ice Age between 1520 and 1710 CE, which may have been exacerbated by human activities and triggered dramatic cultural shifts. During the interval of first contact between the Rapanuis and Europeans, the climate changed to wetter conditions, followed by intense precipitations between 1790 and 1900 CE.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2021.107115","usgsCitation":"Roman, M., McWethy, D.B., Kehrwald, N., Osayuki Erhenhi, E., Myrbo, A.E., Ramirez Aliaga, J., Pauchard, A., Turetta, C., Barbante, C., Prebble, M., Argiriadis, E., and Battistel, D., 2021, A multi-decadal geochemical record from Rano Aroi (Easter Island/Rapa Nui): Implications for the environment, climate and humans during the last two millennia: Quaternary Science Reviews, v. 268, 107115, 19 p., https://doi.org/10.1016/j.quascirev.2021.107115.","productDescription":"107115, 19 p.","ipdsId":"IP-121878","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":387985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Rano Aroi","volume":"268","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roman, Marco","contributorId":202818,"corporation":false,"usgs":false,"family":"Roman","given":"Marco","email":"","affiliations":[{"id":36530,"text":"ECSIN -- European Center for the Sustainable Impact of Nanotechnology","active":true,"usgs":false}],"preferred":false,"id":821288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWethy, David B.","contributorId":207232,"corporation":false,"usgs":false,"family":"McWethy","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":821289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kehrwald, Natalie 0000-0002-9160-2239","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":220636,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":821290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osayuki Erhenhi, Evans","contributorId":264288,"corporation":false,"usgs":false,"family":"Osayuki Erhenhi","given":"Evans","email":"","affiliations":[{"id":37183,"text":"Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":821291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Myrbo, Amy E.","contributorId":264289,"corporation":false,"usgs":false,"family":"Myrbo","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":54425,"text":"St. Croix Watershed Research Station, Science Museum of Minnesota, USA","active":true,"usgs":false}],"preferred":false,"id":821292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramirez Aliaga, José M.","contributorId":264290,"corporation":false,"usgs":false,"family":"Ramirez Aliaga","given":"José M.","affiliations":[{"id":54426,"text":"Grupo Interdisciplinario de Investigacion Avanzada, Universidad de Playa Ancha, Viña Del Mar, Chile","active":true,"usgs":false}],"preferred":false,"id":821293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pauchard, Anibal","contributorId":264291,"corporation":false,"usgs":false,"family":"Pauchard","given":"Anibal","affiliations":[{"id":54427,"text":"Institute of Ecology and Biodiversity, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":821294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Turetta, Clara","contributorId":264292,"corporation":false,"usgs":false,"family":"Turetta","given":"Clara","email":"","affiliations":[{"id":54428,"text":"Institute of Polar Science – National Research Council ISP-CNR , Italy","active":true,"usgs":false}],"preferred":false,"id":821295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barbante, Carlo","contributorId":202632,"corporation":false,"usgs":false,"family":"Barbante","given":"Carlo","email":"","affiliations":[{"id":36503,"text":"Department of Environmental Sciences, Infomatics, and Statistics, Ca'Foscari University of Venice, Via Torino 155, 30172 Mestre (VE), Italy","active":true,"usgs":false}],"preferred":false,"id":821296,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Prebble, Matthew","contributorId":213179,"corporation":false,"usgs":false,"family":"Prebble","given":"Matthew","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":821297,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Argiriadis, Elena","contributorId":207231,"corporation":false,"usgs":false,"family":"Argiriadis","given":"Elena","affiliations":[{"id":37489,"text":"University of Venice, Ca' Foscari","active":true,"usgs":false}],"preferred":false,"id":821298,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Battistel, Dario","contributorId":205865,"corporation":false,"usgs":false,"family":"Battistel","given":"Dario","email":"","affiliations":[{"id":37181,"text":"Department of Environmental Science, Informatics and Statistics, Ca' Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":821299,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70224245,"text":"70224245 - 2021 - Biocrust and the soil surface: Influence of climate, disturbance, and biocrust recovery on soil surface roughness","interactions":[],"lastModifiedDate":"2021-09-15T12:39:04.965398","indexId":"70224245","displayToPublicDate":"2021-08-14T07:34:08","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":"Biocrust and the soil surface: Influence of climate, disturbance, and biocrust recovery on soil surface roughness","docAbstract":"

Biocrust communities promote soil surface roughness, a key functional characteristic for soil ecology. However, the spatial scales at which biocrust communities contribute to surface roughness are not well understood. To refine our understanding of the spatial dynamics between biocrust and soil surface roughness, we used mm-resolution terrestrial LiDAR to measure micro-topographic roughness at seven sub-meter, 3-dimensional kernels (spatial scales) for undisturbed and disturbed biocrusts within the cool Great Basin and the hot Chihuahuan Deserts of western North America. This multi-scalar approach applied within the different desert regions allowed us to explore two objectives: 1) assess the relative importance of climate and disturbance on biocrust roughness, and 2) evaluate how soil surface roughness evolves with biocrust recovery. For objective 1, we found that undisturbed cool desert biocrust was up to three times rougher than hot desert biocrust. Much of the difference in roughness between the two desert biocrust communities appeared to be from climate or other regional factors. However, positive correlations between roughness and biocrust indicators, including soil chlorophyll-a and the field-based Level of Development (LOD) index, suggested that differences in roughness at spatial scales ≤ 10 cm are directly related to biocrust development. Mechanical disturbance aimed at removing biocrust resulted in significant reductions in roughness and removed much of the observed differences in roughness between cool and hot desert soils. We evaluated biocrust recovery within the cool desert study area two years after mechanical disturbance and found that the disturbed soil increased in roughness up-to 300%. The increased surface roughness at spatial scales ≤ 10 cm were positively correlated with increased aggregate stability and indicators of biocrust reestablishment. We found that topographic change area was also an important contributor to roughness at all spatial scales, particularly at spatial scales ≥ 20 cm where it was the most important factor evaluated. These results provide insight into how biocrust interacts with other biophysical processes to influence soil surface roughness and how soil surfaces evolve at time scales relevant to soil restoration activities.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2021.115369","usgsCitation":"Caster, J., Sankey, T.T., Sankey, J., Bowker, M., Buscombe, D.D., Duniway, M.C., Barger, N., Faist, A.M., and Joyal, T., 2021, Biocrust and the soil surface: Influence of climate, disturbance, and biocrust recovery on soil surface roughness: Geoderma, v. 403, 115369, 15 p., https://doi.org/10.1016/j.geoderma.2021.115369.","productDescription":"115369, 15 p.","ipdsId":"IP-125375","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":451174,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2021.115369","text":"Publisher Index Page"},{"id":436240,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CNLJ25","text":"USGS data release","linkHelpText":"Soil surface properties and roughness data at two experimental restoration sites within the Southwestern USA"},{"id":389256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.40234374999999,\n 31.952162238024947\n ],\n [\n -106.04003906249999,\n 31.952162238024947\n ],\n [\n -106.04003906249999,\n 33.46810795527896\n ],\n [\n -107.40234374999999,\n 33.46810795527896\n ],\n [\n -107.40234374999999,\n 31.952162238024947\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.5546875,\n 40.245991504199026\n ],\n [\n -111.533203125,\n 40.245991504199026\n ],\n [\n -111.533203125,\n 41.80407814427234\n ],\n [\n -113.5546875,\n 41.80407814427234\n ],\n [\n -113.5546875,\n 40.245991504199026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"403","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":823322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowker, Matthew A.","contributorId":240683,"corporation":false,"usgs":false,"family":"Bowker","given":"Matthew A.","affiliations":[],"preferred":false,"id":823324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":823325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823326,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barger, Nichole 0000-0002-8765-7974","orcid":"https://orcid.org/0000-0002-8765-7974","contributorId":245370,"corporation":false,"usgs":false,"family":"Barger","given":"Nichole","email":"","affiliations":[{"id":49167,"text":"University of Colorado Boulder, Department of Ecology and Evolutionary Biology,","active":true,"usgs":false}],"preferred":false,"id":823327,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Faist, Akasha M.","contributorId":193038,"corporation":false,"usgs":false,"family":"Faist","given":"Akasha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":823328,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Joyal, Taylor","contributorId":265766,"corporation":false,"usgs":false,"family":"Joyal","given":"Taylor","email":"","affiliations":[{"id":54788,"text":"Northern Arizona University, School of Earth and Sustainability, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":823329,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70230393,"text":"70230393 - 2021 - Native mammals lack resilience to invasive generalist predator","interactions":[],"lastModifiedDate":"2022-04-11T11:39:44.063694","indexId":"70230393","displayToPublicDate":"2021-08-14T06:35:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Native mammals lack resilience to invasive generalist predator","docAbstract":"

Invasive predators have caused catastrophic declines in native wildlife across the globe. Though research has focused on the initial establishment, rapid growth, and spread of invasive predators, our understanding of prey resilience to established invasive predators remains limited. As a direct result of invasive Burmese pythons (Python molurus bivittatus), medium- to large-bodied native mammals decreased drastically across much of southern Florida as early as 2003. By 2014, most of these mammal species were exceedingly rare within the core invasion area, while pythons expanded outward to newly invaded areas. We used python observations to delineate the core python invasion area from the more recently invaded invasion front, and we compared changes in mammal occurrence from 2014 to 2019 between these two areas. We surveyed mammal communities using camera traps and scat surveys and used these observations to quantify the changes in occurrence among mammal species. As expected, occurrence of medium- and large-bodied mammals declined within the invasion front. However, contrary to our expectation, we observed little evidence of resilience among mammals within the invasion core. Of the 15 species detected in 2019, invasive black rats were the only species to increase in occurrence within the invasion core. Additionally, we observed declines in occurrence among native rodents within the invasion core, which were previously thought to be resistant to the effects of pythons. The continued presence of invasive pythons appears to be shifting the diverse mammal communities of southern Florida to one primarily composed of invasive species.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109290","usgsCitation":"Taillie, P.J., Hart, K., Sovie, A.R., and McCleery, R.A., 2021, Native mammals lack resilience to invasive generalist predator: Biological Conservation, v. 261, 109290, 10 p., https://doi.org/10.1016/j.biocon.2021.109290.","productDescription":"109290, 10 p.","ipdsId":"IP-121116","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":451177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2021.109290","text":"Publisher Index Page"},{"id":398457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.37548828125,\n 24.966140159912975\n ],\n [\n -79.34326171875,\n 24.966140159912975\n ],\n [\n -79.34326171875,\n 26.96124577052697\n ],\n [\n -82.37548828125,\n 26.96124577052697\n ],\n [\n -82.37548828125,\n 24.966140159912975\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"261","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taillie, Paul J.","contributorId":203647,"corporation":false,"usgs":false,"family":"Taillie","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":840164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":840165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sovie, Adia R.","contributorId":197424,"corporation":false,"usgs":false,"family":"Sovie","given":"Adia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":840166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":840167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70226964,"text":"70226964 - 2021 - Invaders from islands: Thermal matching, potential or flexibility?","interactions":[],"lastModifiedDate":"2021-12-22T12:38:26.19629","indexId":"70226964","displayToPublicDate":"2021-08-14T06:35:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9963,"text":"Biological Journal of the Linnaean Society","active":true,"publicationSubtype":{"id":10}},"title":"Invaders from islands: Thermal matching, potential or flexibility?","docAbstract":"

Native-range thermal constraints may not reflect the geographical distributions of species introduced from native island ranges in part due to rapid physiological adaptation in species introduced to new environments. Correlative ecological niche models may thus underestimate potential invasive distributions of species from islands. The northern curly-tailed lizard (Leiocephalus carinatus) is established in Florida, including populations north of its native range. Competing hypotheses may explain this distribution: Thermal Matching (distribution reflects thermal conditions of the native range), Thermal Potential (species tolerates thermal extremes absent in the native range) and/or Thermal Flexibility (thermal tolerance reflects local thermal extremes). We rejected the Thermal Matching hypothesis by comparing ecological niche models developed from native vs. native plus invasive distributions; L. carinatus exists in areas of low suitability in Florida as predicted by the native-distribution model. We then compared critical thermal limits of L. carinatus from two non-native populations to evaluate the Thermal Potential and Flexibility hypotheses: one matching native range latitudes, and another 160 km north of the native range that experiences more frequent cold weather events. Critical thermal minima in the northern population were lower than in the south, supporting the Thermal Flexibility hypothesis, whereas critical thermal maxima did not differ.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/biolinnean/blab103","usgsCitation":"Claunch, N.M., Goodman, C., Reed, R., Guralnick, R.P., Romagosa, C.M., and Taylor, E., 2021, Invaders from islands: Thermal matching, potential or flexibility?: Biological Journal of the Linnaean Society, v. 134, no. 3, p. 587-603, https://doi.org/10.1093/biolinnean/blab103.","productDescription":"17 p.","startPage":"587","endPage":"603","ipdsId":"IP-126295","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":451178,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biolinnean/blab103","text":"Publisher Index Page"},{"id":436241,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XGK1GG","text":"USGS data release","linkHelpText":"Florida invasive Leiocephalus carinatus 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Aside from construction aggregate materials, the value of nonfuel mineral commodities that have been produced in North Dakota is small, although there is potential for the existence of several mineral resource deposit types which are not economically viable at this time. In this report, we present a mineral resource inventory of the State of North Dakota, developed by the U.S. Geological Survey at the request the Bureau of Land Management. To set the stage for that inventory, we briefly outline the long and complex geologic history of North Dakota that extends back more than 3 billion years. Using several existing databases, we summarize the distribution of known mineral commodities and the results of commodity exploration over time. Using all available data, we discuss the potential for economic occurrences of 13 commodities in North Dakota, including some listed as Critical Minerals.

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Dakota\",\"nation\":\"USA \"}}]}","contact":"

Director,
Geology, Minerals, Energy, & Geophysics Science Center
Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-08-13","noUsgsAuthors":false,"publicationDate":"2021-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":821200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cossette, Pamela M. 0000-0002-9608-6595 pcossette@usgs.gov","orcid":"https://orcid.org/0000-0002-9608-6595","contributorId":1458,"corporation":false,"usgs":true,"family":"Cossette","given":"Pamela","email":"pcossette@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":821201,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240251,"text":"70240251 - 2021 - Introduction: Metallurgical slags - Environmental liability or valuable resource?","interactions":[],"lastModifiedDate":"2024-07-01T14:03:19.735163","indexId":"70240251","displayToPublicDate":"2021-08-13T10:01:34","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Introduction: Metallurgical slags - Environmental liability or valuable resource?","docAbstract":"

Slags are important by-products generated by ferrous and non-ferrous pyrometallurgical operations, with hundreds of millions of tonnes generated globally each year. Depending on the chemical and mineralogical compositions of slags, they may be disposed of as waste, which can then weather and release contaminants into the environment with the potential to impact the ecosystem and humans. Alternately, slags can find use as raw materials with numerous applications in civil engineering or environmental technologies. Furthermore, residual metals, either those targeted for extraction or those that co-occur in the ore or furnace feed and partition into the slag, can be recovered for value. With the ultimate goal of a sustainable environment and a circular economy, the research on slags that is presented in this book will lead us to a better understanding of the environmental consequences of slag disposed of as waste and motivate us to find value in it.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Metallurgical slags: Environmental geochemistry and resource potential","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/9781839164576-00001","usgsCitation":"Piatak, N.M., and Ettler, V., 2021, Introduction: Metallurgical slags - Environmental liability or valuable resource?, chap. 1 of Metallurgical slags: Environmental geochemistry and resource potential, p. 1-13, https://doi.org/10.1039/9781839164576-00001.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-126010","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":412622,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":863139,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ettler, Vojtech","contributorId":266017,"corporation":false,"usgs":false,"family":"Ettler","given":"Vojtech","affiliations":[{"id":54858,"text":"Charles University, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":863140,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":863087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ettler, Vojtech","contributorId":266017,"corporation":false,"usgs":false,"family":"Ettler","given":"Vojtech","affiliations":[{"id":54858,"text":"Charles University, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":863088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240250,"text":"70240250 - 2021 - Weathering of slags","interactions":[],"lastModifiedDate":"2024-07-01T14:02:00.260587","indexId":"70240250","displayToPublicDate":"2021-08-13T09:55:30","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Weathering of slags","docAbstract":"

Weathering is a natural process causing the transformation of minerals, rocks, and related materials like glass under near-surface conditions. Although metallurgical slags are human-made materials, they also undergo natural weathering processes. As base metal slags weather, the released solutions may contain contaminants that could pose an environmental risk. On the other hand, weathering of ferrous slags is important because of the common reuse of the slags. This chapter summarizes factors that affect rates of slag weathering as well as defining and characterizing the two stages of weathering (incipient and advanced) as they are observed in a wide variety of individual phases and slags. We conclude that slags weather at different scales and rates depending on their chemistry and phase composition as well as the external conditions. Furthermore, weathering of slags is a process that is not perfectly reflected by natural processes because these materials are complex (in terms of texture, composition, and disequilibrium with surficial conditions) and not always analogous to rocks. Therefore, some information in this chapter on weathering is applicable to all slag types, some is relevant to only specific slag types, and some aspects require additional study.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Metallurgical slags: Environmental geochemistry and resource potential","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/9781839164576-00125","usgsCitation":"Kierczak, J., Pietranik, A., and Piatak, N.M., 2021, Weathering of slags, chap. 4 of Metallurgical slags: Environmental geochemistry and resource potential, p. 125-150, https://doi.org/10.1039/9781839164576-00125.","productDescription":"26 p.","startPage":"125","endPage":"150","ipdsId":"IP-125489","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":412620,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":863137,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ettler, Vojtech","contributorId":266017,"corporation":false,"usgs":false,"family":"Ettler","given":"Vojtech","affiliations":[{"id":54858,"text":"Charles University, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":863138,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Kierczak, Jakub","contributorId":297948,"corporation":false,"usgs":false,"family":"Kierczak","given":"Jakub","email":"","affiliations":[{"id":64462,"text":"University of Wroclaw","active":true,"usgs":false}],"preferred":false,"id":863085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pietranik, Anna","contributorId":301931,"corporation":false,"usgs":false,"family":"Pietranik","given":"Anna","email":"","affiliations":[],"preferred":false,"id":863086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":863084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229243,"text":"70229243 - 2021 - Social identity, values, and trust in government: How stakeholder group, ideology, and wildlife value orientations relate to trust in a state agency for wildlife management","interactions":[],"lastModifiedDate":"2022-03-03T15:47:30.658176","indexId":"70229243","displayToPublicDate":"2021-08-13T09:42:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Social identity, values, and trust in government: How stakeholder group, ideology, and wildlife value orientations relate to trust in a state agency for wildlife management","docAbstract":"

Our objective was to understand how social identity and values influenced general public and stakeholder trust in a state wildlife management agency (SWMA). In particular, we wanted to examine how stakeholder group, political ideology, and wildlife value orientation influenced trust in a SWMA. Data were derived from a study of state residents, hunters and livestock producers related to wolf management. Results suggest differences in agency trust correlated with all three factors and the interaction between stakeholder group and wildlife value orientation. Livestock producers reported lower levels of trust in the agency, compared to hunters and the general public. Individuals with conservative or middle-of-the-road ideologies reported less trust in the agency than individuals with a liberal ideology did. Respondents with traditional wildlife values also had less trust in the agency compared to mutualist, pluralist, and distanced respondents. Results suggested similarities in the ideologies and wildlife value orientations of livestock producers and hunters, although these groups differed significantly in their trust in the agency. Agencies face the challenge of managing common-pool, public-trust resources for stakeholders who hold different values and ideologies, and who are differentially affected by management decisions.

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Leetown","active":true,"usgs":true}],"preferred":true,"id":837031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McInenly, Leslie","contributorId":287694,"corporation":false,"usgs":false,"family":"McInenly","given":"Leslie","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":837034,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227641,"text":"70227641 - 2021 - Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data","interactions":[],"lastModifiedDate":"2022-01-24T15:02:28.871949","indexId":"70227641","displayToPublicDate":"2021-08-13T08:59:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data","docAbstract":"

Kansas is one of the most productive agricultural states in the United States, where agricultural irrigation is a primary user of underground and surface water. Because of low precipitation and declining groundwater levels in western and central Kansas, sustainable management of irrigation water resources is a critical issue in the agricultural productivity of the state. The objective of this study is to analyze and characterize the water use and water balance in the croplands of Kansas using satellite observations, meteorological data, and in situ irrigation water use records. We used actual evapotranspiration (ETa), precipitation, soil moisture, and irrigation water use to calculate water balance for Kansas in 2015 at scales of counties, climatic divisions, and groundwater management districts (GMD). The Operational Simplified Surface Energy Balance model was implemented to estimate 30-m resolution ETa. Results showed that the seasonal (May – September) precipitation, soil water storage change, and ETa are 528 mm, 80 mm, and 555 mm, respectively, on average of all croplands in the state. The annual net irrigation water consumption was 293 mm for irrigated croplands, indicating that irrigation water constitutes an substantial portion of the water supply in the state. The total volumetric irrigation water use was 3.24 km3 for all croplands within five GMDs in western and south-central Kansas, while only 0.38 km3 was outside of GMDs. The multiple regression models of ETa against precipitation and irrigation water use were statistically significant with R2 values of 0.71 and 0.87, respectively, at county and climate division scales. Regression models also indicated a higher rate of ETa response to irrigation water use than that to precipitation. Our study demonstrated the spatial patterns of crop water use and water balance in Kansas, which could provide useful information for management of irrigation agriculture and water resources for the state.

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,{"id":70227097,"text":"70227097 - 2021 - Predicted spatial distribution of the Eastern Spotted Skunk (Spilogale putorius) in Virginia using detection and non-detection records","interactions":[],"lastModifiedDate":"2021-12-29T14:33:21.49436","indexId":"70227097","displayToPublicDate":"2021-08-13T08:29:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Predicted spatial distribution of the Eastern Spotted Skunk (Spilogale putorius) in Virginia using detection and non-detection records","docAbstract":"

The geographic distribution of a species is a fundamental component in understanding its ecology and is necessary for forming effective conservation plans. For rare and elusive species of conservation concern, accurate maps of predicted occurrence are particularly problematic and often highly subjective. Spilogale putorius (Eastern Spotted Skunk) populations have experienced large declines since the 1940s. Their elusive behavior and perceived rarity result in low detection probability when using conventional methods for sampling small mammals. Low detection probability often causes uncertainty as to where Eastern Spotted Skunks could be a management concern. We modeled the distribution of predicted occurrence of Eastern Spotted Skunks using verifiable occurrence and non-detection records obtained throughout Virginia from 2010 to 2020. Occurrence data consisted of trapping records reported to the Virginia Department of Wildlife Resources, incidental photo-verified reports of sightings and road-killed animals, and remote-camera detections. Non-detections were presumed at baited remote-camera locations following intense survey efforts. We fit predicted occurrence models using generalized linear modeling in an information-theoretic framework using the package ‘stats’ in Program R. Our results incidated a greater probability of presence from the Blue Ridge westward, increasing with slope steepness along northeastern- to southeastern-facing slopes and decreasing with slope steepness along southeastern- to southwestern-facing slopes. Emergent rock outcrops prominent along northeastern slopes offer ample protective rocky cover, whereas mixed Quercus spp. (oak), Kalmia latifolia (Mountain Laurel), and Rhododendron maximum (Rosebay Rhododendron) forest communities along southern-facing slopes provide suitable areas of cover, both of which are critical for spotted skunk survival and reproductive success. Our analysis provides insight into the relationships between landscape features and Eastern Spotted Skunk distributions across Virginia. Understanding these relationships is critical for the effective management and conservation of this vulnerable species.

","language":"English","publisher":"BioOne","doi":"10.1656/058.020.0sp1105","usgsCitation":"Thorne, E.D., and Ford, W., 2021, Predicted spatial distribution of the Eastern Spotted Skunk (Spilogale putorius) in Virginia using detection and non-detection records: Southeastern Naturalist, v. 20, no. 11, p. 39-51, https://doi.org/10.1656/058.020.0sp1105.","productDescription":"13 p.","startPage":"39","endPage":"51","ipdsId":"IP-123161","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451186,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/111969","text":"External Repository"},{"id":393575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.13330078125,\n 36.31512514748051\n ],\n [\n -74.20166015624999,\n 36.31512514748051\n ],\n [\n -74.20166015624999,\n 40.027614437486655\n ],\n [\n -84.13330078125,\n 40.027614437486655\n ],\n [\n -84.13330078125,\n 36.31512514748051\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thorne, Emily D.","contributorId":270628,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily","email":"","middleInitial":"D.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":829625,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223207,"text":"70223207 - 2021 - Divergent, plausible, and relevant climate futures for near- and long-term resource planning","interactions":[],"lastModifiedDate":"2021-08-19T13:25:22.967246","indexId":"70223207","displayToPublicDate":"2021-08-13T07:57:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Divergent, plausible, and relevant climate futures for near- and long-term resource planning","docAbstract":"

Scenario planning has emerged as a widely used planning process for resource management in situations of consequential, irreducible uncertainty. Because it explicitly incorporates uncertainty, scenario planning is regularly employed in climate change adaptation. An early and essential step in developing scenarios is identifying “climate futures”—descriptions of the physical attributes of plausible future climates that could occur at a specific place and time. Divergent climate futures that describe the broadest possible range of plausible conditions support information needs of decision makers, including understanding the spectrum of potential resource responses to climate change, developing strategies robust to that range, avoiding highly consequential surprises, and averting maladaptation. Here, we discuss three approaches for generating climate futures: a Representative Concentration Pathway (RCP)-ensemble, a quadrant-average, and an individual-projection approach. All are designed to capture relevant uncertainty, but they differ in utility for different applications, complexity, and effort required to implement. Using an application from Big Bend National Park as an example of numerous similar efforts to develop climate futures for National Park Service applications over the past decade, we compare these approaches, focusing on their ability to capture among-projection divergence during early-, mid-, and late-twenty-first century periods to align with near-, mid-, and long-term planning efforts. The quadrant-average approach and especially the individual-projection approach captured a broader range of plausible future conditions than the RCP-ensemble approach, particularly in the near term. Therefore, the individual-projection approach supports decision makers seeking to understand the broadest potential characterization of future conditions. We discuss tradeoffs associated with different climate future approaches and highlight suitable applications.

","language":"English","publisher":"Springer","doi":"10.1007/s10584-021-03169-y","usgsCitation":"Lawrence, D.J., Runyon, A., Gross, J.E., Schuurman, G.W., and Miller, B.W., 2021, Divergent, plausible, and relevant climate futures for near- and long-term resource planning: Climatic Change, v. 167, 38, 20 p., https://doi.org/10.1007/s10584-021-03169-y.","productDescription":"38, 20 p.","ipdsId":"IP-126404","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-021-03169-y","text":"Publisher Index Page"},{"id":388095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","noUsgsAuthors":false,"publicationDate":"2021-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, David J. 0000-0002-1457-9944","orcid":"https://orcid.org/0000-0002-1457-9944","contributorId":225585,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":41167,"text":"U.S. Park Service","active":true,"usgs":false}],"preferred":false,"id":821399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runyon, Amber N. 0000-0002-7282-1217","orcid":"https://orcid.org/0000-0002-7282-1217","contributorId":261745,"corporation":false,"usgs":false,"family":"Runyon","given":"Amber N.","affiliations":[{"id":52985,"text":"National Park Service Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":821400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":821401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":821402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":821403,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70224568,"text":"70224568 - 2021 - Geochemistry and mineralogy of metallurgical slag","interactions":[],"lastModifiedDate":"2021-09-28T12:49:02.673589","indexId":"70224568","displayToPublicDate":"2021-08-13T07:47:22","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Geochemistry and mineralogy of metallurgical slag","docAbstract":"Slag is a waste product from the pyrometallurgical processing of natural ores or the recycling of man-made materials. This chapter provides an overview of the geochemical and mineralogical characteristics of different types of slag. A review of the analytical methods used to determine these characteristics is also provided. Ferrous slags include blast furnace, steelmaking, and ferroalloy slags; the compositions of these slags are generally dominated by Ca and Si, some with significant Al, Fe, and/or Mg. Whereas, the composition of non-ferrous slags, mostly from base-metal production, are generally dominated by Fe and Si with significant but lesser amounts of Al and Ca. As for primary mineralogical phases, olivine-group phases, spinels, and glass are common among all types of slag. Other silicates such as melilite, pyroxene, feldspars, and oxides also occur. Sulfides are more common in non-ferrous slags and metals and intermetallic compounds can be found in both base-metal and ferrous slags. Carbonates are generally exclusive of ferrous slags. The chemical composition of slag depends on the furnace feed, fluxes, fuel source, and furnace conditions and efficiency of metal extraction. The chemistry and texture of mineralogical phases found in slag reflect melt composition and cooling rates. Overall, the mineralogy and chemistry of slags will determine its fate as an environmental liability or a valuable resource.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Metallurgical slags: Environmental geochemistry and resource potential","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/9781839164576","isbn":"978-1-78801-887-6","usgsCitation":"Piatak, N.M., Ettler, V., and Hoppe, D.A., 2021, Geochemistry and mineralogy of metallurgical slag, chap. 3 of Metallurgical slags: Environmental geochemistry and resource potential, p. 59-124, https://doi.org/10.1039/9781839164576.","productDescription":"66 p.","startPage":"59","endPage":"124","ipdsId":"IP-123795","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":389870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ettler, Vojtech","contributorId":266017,"corporation":false,"usgs":false,"family":"Ettler","given":"Vojtech","affiliations":[{"id":54858,"text":"Charles University, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":824091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoppe, Darryl Andre 0000-0003-3369-5577","orcid":"https://orcid.org/0000-0003-3369-5577","contributorId":225586,"corporation":false,"usgs":true,"family":"Hoppe","given":"Darryl","email":"","middleInitial":"Andre","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824092,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228894,"text":"70228894 - 2021 - Wetland selection by female Ring-Necked Ducks (Aythya collaris) in the Southern Atlantic Flyway","interactions":[],"lastModifiedDate":"2022-02-23T13:28:46.986794","indexId":"70228894","displayToPublicDate":"2021-08-13T07:21:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Wetland selection by female Ring-Necked Ducks (Aythya collaris) in the Southern Atlantic Flyway","docAbstract":"

On the wintering grounds, wetland selection by waterfowl is influenced by spatiotemporal resource distribution. The ring-necked duck (Aythya collaris) winters in the southeastern United States where a disproportionate amount of Atlantic Flyway ring-necked duck harvest occurs. We quantified female ring-necked duck selection for wetland characteristics during and after the 2017–2018 and 2018–2019 waterfowl hunting seasons using discrete choice modeling under a Bayesian framework. Relative probability of selection was primarily influenced by characteristics at the local wetland scale. Relative probability of selection was higher for flooded agriculture and vegetated wetlands than open water and was positively influenced by wetland area during the winter. After the hunting season, the relative probability of selection decreased for flooded agriculture but increased for vegetated wetlands, and the effect of wetland area decreased in magnitude. We attribute changes in selection during and after the hunting season to dietary shifts related to migratory preparation, resource depletion, and reproductive pairing. Understanding the wetland characteristics that wintering waterfowl select, and the spatial scale at which selection occurs, is important for informing effective wetland management and waterfowl harvest practices.

","language":"English","publisher":"Springer","doi":"10.1007/s13157-021-01485-8","usgsCitation":"Mezebish, T.D., Chandler, R., Olsen, G.H., Goodman, M., Rohwer, F., Meng, N.J., and McConnell, M.D., 2021, Wetland selection by female Ring-Necked Ducks (Aythya collaris) in the Southern Atlantic Flyway: Wetlands, v. 41, 84, 13 p., https://doi.org/10.1007/s13157-021-01485-8.","productDescription":"84, 13 p.","ipdsId":"IP-130253","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":396335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.73754882812499,\n 29.99300228455108\n ],\n [\n -81.59545898437499,\n 29.99300228455108\n ],\n [\n -81.59545898437499,\n 31.062345409804433\n ],\n [\n -84.73754882812499,\n 31.062345409804433\n ],\n [\n -84.73754882812499,\n 29.99300228455108\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2021-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Mezebish, Tori D.","contributorId":239496,"corporation":false,"usgs":false,"family":"Mezebish","given":"Tori","email":"","middleInitial":"D.","affiliations":[{"id":27618,"text":"University of Georgia, Warnell School of Forestry and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":835802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Richard rchandler@usgs.gov","contributorId":2511,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":835838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":835803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodman, Michele","contributorId":239497,"corporation":false,"usgs":false,"family":"Goodman","given":"Michele","email":"","affiliations":[{"id":47893,"text":"Elmwood Park Zoo, Norristown, Pennyslvania","active":true,"usgs":false}],"preferred":false,"id":835804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rohwer, Frank C.","contributorId":239498,"corporation":false,"usgs":false,"family":"Rohwer","given":"Frank C.","affiliations":[{"id":47894,"text":"Delta Waterfowl, Bismark North Dakota","active":true,"usgs":false}],"preferred":false,"id":835805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meng, Nicholas J.","contributorId":264806,"corporation":false,"usgs":false,"family":"Meng","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":54559,"text":"Warnell School of Forestry and Natural Resources, University of Georgia,","active":true,"usgs":false}],"preferred":false,"id":835839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McConnell, Mark D.","contributorId":239499,"corporation":false,"usgs":false,"family":"McConnell","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":47895,"text":"College of Forest Resources, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":835806,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"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":"

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 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.

","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 [\n -97.03125,\n 30.56226095049944\n ],\n [\n -98.26171875,\n 30.56226095049944\n ],\n [\n -98.26171875,\n 29.53522956294847\n ]\n ]\n ]\n }\n 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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 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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.

","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":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","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":"

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.

","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":"

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 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.

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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":"

The US Environmental Protection Agency's short-term freshwater effluent test methods include a fish (Pimephales promelas), a cladoceran (Ceriodaphnia dubia), and a green alga (Raphidocelis subcapitata). 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 (Villosa constricta and Lampsilis siliquoidea) and two standard species (P. promelas and C. dubia) 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 L. siliquoidea 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 L. siliquoidea. 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 L. siliquoidea has acceptable precision. Environ Toxicol Chem 2021;40:3392–3409. © 2021 SETAC

","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":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change 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":"

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 14C 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.

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 36Cl 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 36Cl cosmogenic nuclide age estimates.

","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. of 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. 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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":"

No abstract available.

","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. of 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":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":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":"

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.

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.

","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":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","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":"

American eel (Anguilla rostrata) 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 (n = 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 (Φrkm = 0.984 ± 0.006 SE) and Milford (Φrkm = 0.966 ± 0.007 SE) compared with undammed River sections (Φrkm = 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 >10% of fish were delayed >24 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.

","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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","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":"

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.

","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":"

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 (\"urn:x-wiley:25724517:media:palo21077:palo21077-math-0001\"18Osw; a proxy for salinity) over the past 11,700 years using planktic foraminiferal geochemistry in sediments from the Garrison Basin, northwestern GoM. We measured \"urn:x-wiley:25724517:media:palo21077:palo21077-math-0002\"O and magnesium-to-calcium ratios in tests of Globigerinoides ruber (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 \"urn:x-wiley:25724517:media:palo21077:palo21077-math-0003\"18Osw. We find considerable centennial and millennial-scale variability in both SST and \"urn:x-wiley:25724517:media:palo21077:palo21077-math-0004\"18Osw, although their evolution over the Holocene is distinct. Whereas mean-annual SSTs display pronounced millennial-scale variability, \"urn:x-wiley:25724517:media:palo21077:palo21077-math-0005\"18Osw 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.

","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":"

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 (Artemisia tridentata) 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.

","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}]}} ]}