Examining natural selection in wild populations is challenging, but crucial to understanding many ecological and evolutionary processes. Additionally, in hybridizing populations, natural selection may be an important determinant of the eventual outcome of hybridization. We characterized several components of relative fitness in hybridizing populations of Yellowstone cutthroat trout and rainbow trout in an effort to better understand the prolonged persistence of both parental species despite predictions of extirpation. Thousands of genomic loci enabled precise quantification of hybrid status in adult and subsequent juvenile generations; a subset of those data also identified parent–offspring relationships. We used linear models and simulations to assess the effects of ancestry on reproductive output and mate choice decisions. We found a relatively low number of late-stage (F3+) hybrids and an excess of F2 juveniles relative to the adult generation in one location, which suggests the presence of hybrid breakdown decreasing the fitness of F2+ hybrids later in life. Assessments of reproductive output showed that Yellowstone cutthroat trout are more likely to successfully reproduce and produce slightly more offspring than their rainbow trout and hybrid counterparts. Mate choice appeared to be largely random, though we did find statistical support for slight female preference for males of similar ancestry. Together, these results show that native Yellowstone cutthroat trout are able to outperform rainbow trout in terms of reproduction and suggest that management action to exclude rainbow trout from spawning locations may bolster the now-rare Yellowstone cutthroat trout.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.16578","collaboration":"Wyoming Game and Fish Department","usgsCitation":"Rosenthal, W.C., Fennell, J.M., Mandeville, E., Burckhardt, J., Walters, A.W., and Wagner, C., 2022, Hybridization decreases native cutthroat trout reproductive fitness: Molecular Ecology, v. 31, no. 16, p. 4224-4241, https://doi.org/10.1111/mec.16578.","productDescription":"18 p.","startPage":"4224","endPage":"4241","ipdsId":"IP-134904","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"16","noUsgsAuthors":false,"publicationDate":"2022-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenthal, William C.","contributorId":337368,"corporation":false,"usgs":false,"family":"Rosenthal","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fennell, John M.","contributorId":337830,"corporation":false,"usgs":false,"family":"Fennell","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandeville, Elizabeth G.","contributorId":270691,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth G.","affiliations":[{"id":56198,"text":"uwyo","active":true,"usgs":false}],"preferred":false,"id":903732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason C.","contributorId":338996,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":903733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Catherine E.","contributorId":337377,"corporation":false,"usgs":false,"family":"Wagner","given":"Catherine E.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232345,"text":"70232345 - 2022 - Experimental reductions in sub-daily flow fluctuations increased gross primary productivity for 425 river kilometers downstream","interactions":[],"lastModifiedDate":"2023-03-24T16:52:14.658494","indexId":"70232345","displayToPublicDate":"2022-06-25T07:30:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10942,"text":"PNAS Nexus","active":true,"publicationSubtype":{"id":10}},"title":"Experimental reductions in sub-daily flow fluctuations increased gross primary productivity for 425 river kilometers downstream","docAbstract":"Aquatic primary production is the foundation of many river food webs. Dams change the physical template of rivers, often driving food webs toward greater reliance on aquatic primary production. Nonetheless, the effects of regulated flow regimes on primary production are poorly understood. Load following is a common dam flow management strategy that involves sub-daily changes in water releases proportional to fluctuations in electrical power demand. This flow regime causes an artificial tide, wetting and drying channel margins and altering river depth and water clarity, all processes that are likely to affect primary production. In collaboration with dam operators, we designed an experimental flow regime whose goal was to mitigate negative effects of load following on ecosystem processes. The experimental flow contrasted steady-low flows on weekends with load following flows on weekdays. Here, we quantify the effect of this experimental flow on springtime gross primary production (GPP) 90-to-425 km downstream of Glen Canyon Dam on the Colorado River, AZ, USA. GPP during steady-low flows was 41% higher than during load following flows, mostly owing to non-linear reductions in sediment-driven turbidity. The experimental flow increased weekly GPP even after controlling for variation in weekly mean discharge, demonstrating a negative effect of load following on GPP. We estimate that this environmental flow increased springtime carbon fixation by 0.27 g C m–2 d–1, which is ecologically meaningful considering median C fixation in 356 U.S. rivers of 0.44 g C m–2 d–1 and the fact that native fish populations in this river are food-limited.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1093/pnasnexus/pgac094","usgsCitation":"Deemer, B., Yackulic, C., Hall Jr., R., Dodrill, M., Kennedy, T., Muehlbauer, J., Topping, D.J., Voichick, N., and Yard, M.D., 2022, Experimental reductions in sub-daily flow fluctuations increased gross primary productivity for 425 river kilometers downstream: PNAS Nexus, v. 1, no. 3, pgsc094, 12 p., https://doi.org/10.1093/pnasnexus/pgac094.","productDescription":"pgsc094, 12 p.","ipdsId":"IP-134337","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":447313,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pnasnexus/pgac094","text":"Publisher Index Page"},{"id":435795,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZS6YLV","text":"USGS data release","linkHelpText":"Gross primary production estimates and associated light, sediment, and water quality data from the Colorado River below Glen Canyon Dam"},{"id":402590,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall Jr., Robert O","contributorId":292567,"corporation":false,"usgs":false,"family":"Hall Jr.","given":"Robert O","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":845293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodrill, Michael J. 0000-0002-7038-7170","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":206439,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muehlbauer, Jeffrey 0000-0003-1808-580X","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":221739,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845296,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845297,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voichick, Nicholas 0000-0002-9716-5906 nvoichick@usgs.gov","orcid":"https://orcid.org/0000-0002-9716-5906","contributorId":203632,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845298,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":169281,"corporation":false,"usgs":true,"family":"Yard","given":"Michael","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845299,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70233942,"text":"70233942 - 2022 - Environmental DNA methods for ecological monitoring and biodiversity assessment in estuaries","interactions":[],"lastModifiedDate":"2022-10-17T15:43:31.657314","indexId":"70233942","displayToPublicDate":"2022-06-25T07:13:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA methods for ecological monitoring and biodiversity assessment in estuaries","docAbstract":"Environmental DNA (eDNA) detection methods can complement traditional biomonitoring to yield new ecological insights in aquatic systems. However, the conceptual and methodological frameworks for aquatic eDNA detection and interpretation were developed primarily in freshwater environments and have not been well established for estuaries and marine environments that are by nature dynamic, turbid, and hydrologically complex. Environmental context and species life history are critical for successful application of eDNA methods, and the challenges associated with eDNA detection in estuaries were the subject of a symposium held at the University of California Davis on January 29, 2020 (https://marinescience.ucdavis.edu/engagement/past-events/edna). Here, we elaborate upon topics addressed in the symposium to evaluate eDNA methods in the context of monitoring and biodiversity studies in estuaries. We first provide a concise overview of eDNA science and methods, and then examine the San Francisco Estuary (SFE) as a case study to illustrate how eDNA detection can complement traditional monitoring programs and provide regional guidance on future potential eDNA applications. Additionally, we offer recommendations for enhancing communication between eDNA scientists and natural resource managers, which is essential for integrating eDNA methods into existing monitoring programs. Our intent is to create a resource that is accessible to those outside the field of eDNA, especially managers, without oversimplifying the challenges or advantages of these methods.
Understanding the evolution of plumes emanating from residual hydrocarbon contaminant sources requires evaluating how changes in source compositions over time cause changes in dissolved plume chemistry as residual sources age. This study investigates such changes at the site of a 1979 crude-oil pipeline spill and is the first comprehensive look at groundwater chemistry associated with a residual hydrocarbon source zones in different stages of aging. The data show a direct relationship between concentrations of benzene and naphthalene in the residual oil and those measured in water samples collected below the oil. Groundwater associated with oil near the spill site had different chemical composition compared with water associated with oil that had spread downgradient from the spill zone, indicating a shift in biodegradation reactions. These results emphasize that source zone processes are spatially and temporally heterogeneous and should be accounted for in natural attenuation studies where residual source zones persist.
Tidal freshwater forested wetlands (TFFW) provide critical ecosystem services including essential habitat for a variety of wildlife species and significant carbon sinks for atmospheric carbon dioxide. However, large uncertainties remain concerning the impacts of climate change on the magnitude and variability of carbon fluxes and storage across a range of TFFW. In this study, we developed a process-driven Tidal Freshwater Wetlands DeNitrification-DeComposition model (TFW-DNDC) that has integrated new features, such as soil salinity effects on plant productivity and soil organic matter decomposition to explore carbon dynamics in TFFW in response to drought-induced saltwater intrusion. Eight sites along the floodplains of the Waccamaw River (USA) and the Savannah River (USA) were selected to represent TFFW transition from healthy to moderately and highly salt-impacted forests, and eventually to oligohaline marshes. TFW-DNDC was calibrated and validated using field observed annual litterfall, stem growth, root growth, soil heterotrophic respiration and soil organic carbon storage. Analyses indicate that plant productivity and soil carbon sequestration in TFFW could change substantially in response to increased soil porewater salinity and reduced soil water table due to drought, but in interactive ways dependent on the river simulated. Such responses are variable due to non-linear relationships between carbon cycling processes and environmental drivers. Plant productivity, plant respiration, soil organic carbon sequestration rate and storage in the highly salt-impacted forest sites decreased significantly under drought conditions compared to normal conditions. Considering the high likelihood of healthy and moderately salt-impacted forests becoming highly salt-impacted forests under future climate change and sea-level rise, it is very likely that TFFW will lose their capacity as carbon sinks without up-slope migration.
Introduction Regardless of the location, time of day, or season, the grandeur of Grand Canyon National Park and Glen Canyon National Recreation Area inspires awe. Visitors can reflect on the sunlit colors of the towering canyon walls or witness the vibrant, golden display of Fremont cottonwood leaves each fall. For millions of years, the Colorado River has sculpted canyon country; for thousands of years, it has been a lifeline for humans, wildlife, and plants. But despite its wild appearance, the river does not flow freely; it is regulated by the upstream Glen Canyon Dam, which profoundly affects the surrounding natural environment and visitor experiences. The National Park Service and its partners in the Glen Canyon Dam Adaptive Management Program are working on a 20-year experimental project to restore some of the natural systems that were damaged or lost because of the dam. The program is administered by the Bureau of Reclamation. The project covers 296 miles of the Colorado River, from Glen Canyon Dam at Lake Powell Reservoir through the Grand Canyon to Pearce Ferry at Lake Mead Reservoir. Scientists from the U.S. Geological Survey lead the program’s experiments, some of which have already proved fruitful. A Changed Ecosystem Since its completion in 1963, the dam has changed downstream habitats along the river, adversely affecting some of them. Before the dam was built, sparsely vegetated sandbars along the Colorado River were more prevalent. River rafters and other backcountry adventurers valued these sandy beaches as campsites and break spots. Dam operations changed the river flow regime, decreasing the size and duration of large floods while also increasing the level of low flows. This caused native clonal plant species like arrowweed and non-native species such as tamarisk to encroach on sandbars, decreasing the size of campsite areas and degrading their condition. Previously commonplace, cottonwood and willow gallery forests that are ideal for bird habitat are now essentially nonexistent. This is because the regulated flows don’t allow for marsh back channels, which relied on periodic large floods. The dam has also affected archeological sites. Many of these sites are in pre-dam river sediment deposits, which provide a protective barrier against erosion. The dammed river now carries up to 95 percent less sediment, which means there is less sand available to cover the fragile sites. Sites are commonly in sand dunes along the river corridor, where wind re-supplies the dunes with sand blown from adjacent sandbars. Encroaching vegetation on the sandbars limits movement of what little sand is now available to cover and protect these sites. In 2018, the National Park Service, U.S. Geological Survey, and some of their partners began experimental vegetation treatments along the Colorado River below Glen Canyon Dam. This was in accordance with the 2016 Glen Canyon Dam Long-Term Experimental and Management Plan. Their purpose was to determine effective ways to mitigate the dam’s adverse impacts. The treatments have had some notable successes in improving the condition of campsites, archeological sites, and the riparian plant ecosystem.
","language":"English","publisher":"National Park Service","usgsCitation":"Pilkington, L., Sankey, J., Boughter, D., Preston, T., and Prophet, C.C., 2022, Parks look for ways to alleviate Glen Canyon Dam’s dramatic downstream impacts: Park Science, v. 36, no. 1.","ipdsId":"IP-140451","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":402483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402472,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/000/parks-look-for-ways-to-alleviate-glen-canyon-dams-downstream-impacts.htm"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.03259277343749,\n 35.71083783530009\n ],\n [\n -111.6046142578125,\n 35.71083783530009\n ],\n [\n -111.6046142578125,\n 36.56260003738545\n ],\n [\n -114.03259277343749,\n 36.56260003738545\n ],\n [\n -114.03259277343749,\n 35.71083783530009\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pilkington, Lonnie","contributorId":292555,"corporation":false,"usgs":false,"family":"Pilkington","given":"Lonnie","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":845046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":845047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boughter, Dan","contributorId":292556,"corporation":false,"usgs":false,"family":"Boughter","given":"Dan","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":845048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Taryn","contributorId":292557,"corporation":false,"usgs":false,"family":"Preston","given":"Taryn","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":845049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prophet, Cam C.","contributorId":292562,"corporation":false,"usgs":false,"family":"Prophet","given":"Cam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":845064,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232279,"text":"70232279 - 2022 - Na+/HCO3- cotransporter 1 (nbce1) isoform gene expression during smoltification and seawater acclimation of Atlantic salmon","interactions":[],"lastModifiedDate":"2022-09-01T14:41:57.583839","indexId":"70232279","displayToPublicDate":"2022-06-24T12:33:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2226,"text":"Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Na+/HCO3- cotransporter 1 (nbce1) isoform gene expression during smoltification and seawater acclimation of Atlantic salmon","title":"Na+/HCO3- cotransporter 1 (nbce1) isoform gene expression during smoltification and seawater acclimation of Atlantic salmon","docAbstract":"The life history of Atlantic salmon (Salmo salar) includes an initial freshwater phase (parr) that precedes a springtime migration to marine environments as smolts. The development of osmoregulatory systems that will ultimately support the survival of juveniles upon entry into marine habitats is a key aspect of smoltification. While the acquisition of seawater tolerance in all euryhaline species demands the concerted activity of specific ion pumps, transporters, and channels, the contributions of Na+/HCO3− cotransporter 1 (Nbce1) to salinity acclimation remain unresolved. Here, we investigated the branchial and intestinal expression of three Na+/HCO3− cotransporter 1 isoforms, denoted nbce1.1, -1.2a, and -1.2b. Given the proposed role of Nbce1 in supporting the absorption of environmental Na+ by ionocytes, we first hypothesized that expression of a branchial nbce1 transcript (nbce1.2a) would be attenuated in salmon undergoing smoltification and following seawater exposure. In two separate years, we observed spring increases in branchial Na+/K+-ATPase activity, Na+/K+/2Cl− cotransporter 1, and cystic fibrosis transmembrane regulator 1 expression characteristic of smoltification, whereas there were no attendant changes in nbce1.2a expression. Nonetheless, branchial nbce1.2a levels were reduced in parr and smolts within 2 days of seawater exposure. In the intestine, gene transcript abundance for nbce1.1 increased from spring to summer in the anterior intestine, but not in the posterior intestine or pyloric caeca, and nbce1.1 and -1.2b expression in the intestine showed season-dependent transcriptional regulation by seawater exposure. Collectively, our data indicate that tissue-specific modulation of all three nbce1 isoforms underlies adaptive responses to seawater.
","language":"English","publisher":"Springer","doi":"10.1007/s00360-022-01443-8","usgsCitation":"Breves, J.P., McKay, I.S., Koltenyuk, V., Nelson, N.N., Lema, S., and McCormick, S.D., 2022, Na+/HCO3- cotransporter 1 (nbce1) isoform gene expression during smoltification and seawater acclimation of Atlantic salmon: Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology, v. 192, p. 577-592, https://doi.org/10.1007/s00360-022-01443-8.","productDescription":"16 p.","startPage":"577","endPage":"592","ipdsId":"IP-136935","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":402482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","noUsgsAuthors":false,"publicationDate":"2022-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":844988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Ian S.","contributorId":292532,"corporation":false,"usgs":false,"family":"McKay","given":"Ian","email":"","middleInitial":"S.","affiliations":[{"id":35659,"text":"Skidmore College","active":true,"usgs":false}],"preferred":false,"id":844989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koltenyuk, Victor","contributorId":292533,"corporation":false,"usgs":false,"family":"Koltenyuk","given":"Victor","email":"","affiliations":[{"id":35659,"text":"Skidmore College","active":true,"usgs":false}],"preferred":false,"id":844990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Nastasia N.","contributorId":292534,"corporation":false,"usgs":false,"family":"Nelson","given":"Nastasia","email":"","middleInitial":"N.","affiliations":[{"id":35659,"text":"Skidmore College","active":true,"usgs":false}],"preferred":false,"id":844991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lema, Sean C.","contributorId":220928,"corporation":false,"usgs":false,"family":"Lema","given":"Sean C.","affiliations":[{"id":37658,"text":"California Polytechnic State University","active":true,"usgs":false}],"preferred":false,"id":844992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":844993,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232289,"text":"70232289 - 2022 - Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions","interactions":[],"lastModifiedDate":"2022-06-24T17:32:42.990458","indexId":"70232289","displayToPublicDate":"2022-06-24T12:28:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions","docAbstract":"Acoustic energy originating from explosions, sonic booms, bolides and thunderclaps have been recorded on seismometers since the 1950s. Direct pressure loading from the passing acoustic wave has been modelled and consistently observed to produce ground deformations of the near surface that have retrograde elliptical particle motions. In the past decade, increased deployments of colocated seismometers and infrasound sensors have driven efforts to use the transfer function between direct acoustic-to-seismic coupling to infer near-surface material properties including seismic velocity structure and elastic moduli. In this study, we use a small aperture (≈600 m) array of broadband seismometers installed in different manners and depths in both granite and sedimentary overburden to understand the fundamental nature and repeatability of seismic excitation from 1 to 15 Hz using horizontally propagating acoustic waves generated by 97 local (2–10 km) explosions. In agreement with modelling, we find that the ground motions induced by acoustic-to-seismic coupling attenuate rapidly with depth. We confirm the modelled relation between acoustic and ground motion amplitudes, but show that within one acoustic wavelength, the uncertainty in the transfer coefficient between seismic and acoustic energy at a given seismic station increases linearly with separation distance between the seismic and acoustic sensor. We attribute this observation to the rapid decorrelation of the infrasonic wavefield across small spatial scales and recommend colocating seismic and infrasound sensors for use in studies seeking to invert for near-surface material properties. Additionally, contrary to acoustic-to-seismic coupling theory and prior observations, we find that seismometers emplaced in granite do not record retrograde elliptical particle motions in response to direct pressure loading. We rule out seismometer tilt effects as a likely source of this observations and suggest that existing models of acoustic-to-seismic excitation may be too simplistic for seismometers placed in high rigidity materials.","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggac154","usgsCitation":"Anthony, R.E., Watzak, J., Ringler, A.T., and Wilson, D.C., 2022, Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions: Geophysical Journal International, v. 230, no. 3, p. 2019-2035, https://doi.org/10.1093/gji/ggac154.","productDescription":"17 p.","startPage":"2019","endPage":"2035","ipdsId":"IP-135891","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":402481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"230","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert E. 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watzak, Josh","contributorId":292554,"corporation":false,"usgs":false,"family":"Watzak","given":"Josh","email":"","affiliations":[{"id":62934,"text":"Department of Geology and Geophysics, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":845038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70232290,"text":"70232290 - 2022 - Overcoming “analysis paralysis” through better climate change scenario planning","interactions":[],"lastModifiedDate":"2022-06-24T17:27:32.368519","indexId":"70232290","displayToPublicDate":"2022-06-24T12:24:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming “analysis paralysis” through better climate change scenario planning","docAbstract":"This \"In Brief\" article describes the use of scenario planning to facilitate climate change adaptation in the National Park Service. It summarizes best practices and innovations for using climate change scenario planning, with an emphasis on management outcomes and manager perspectives. The scenario planning approach and management outcomes highlighted in this article are the culmination of more than a decade of collaboration between the USGS and the National Park Service.","language":"English","publisher":"National Park Service","usgsCitation":"Schuurman, G.W., Miller, B.W., Symstad, A., Runyon, A., and Robb, B.C., 2022, Overcoming “analysis paralysis” through better climate change scenario planning: Park Science, v. 36, no. 1.","ipdsId":"IP-140748","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":402480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402471,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/000/overcoming-analysis-paralysis-through-better-climate-change-scenario-planning.htm"}],"volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schuurman, Gregor W.","contributorId":173975,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":845041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":845042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":201095,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":845044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robb, Brecken C. 0000-0001-9016-249X","orcid":"https://orcid.org/0000-0001-9016-249X","contributorId":274644,"corporation":false,"usgs":true,"family":"Robb","given":"Brecken","email":"","middleInitial":"C.","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":845045,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232285,"text":"70232285 - 2022 - Effects of flow regulation and drought on geomorphology and floodplain habitat along the Colorado River in Canyonlands National Park, Utah","interactions":[],"lastModifiedDate":"2022-09-15T14:10:59.9375","indexId":"70232285","displayToPublicDate":"2022-06-24T12:19:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow regulation and drought on geomorphology and floodplain habitat along the Colorado River in Canyonlands National Park, Utah","docAbstract":"Streamflow regulation compounded by regional drought has resulted in up to 22% reduction in channel width, changes in channel planform, expansion of riparian vegetation, and alterations to floodplain habitat on the Colorado River in Meander Canyon, Utah. Although some changes in channel width occurred between the 1940s and 1980s, coinciding with major phases of upstream water development, larger decreases in channel width occurred between 1993 and 2006 during periods of exceptionally low annual floods. These findings illustrate that low runoff associated with regional drought and climate change may cause changes in river channel form that accelerate and compound the effects of upstream water development. Declining peak flows have also resulted in disconnection between the wetted channel and floodplains, where inundated back-levee depressions provide habitat used by two species of threatened and endangered native fish. Despite this disconnection, some back-levee depressions on the floodplain continue to be inundated by ~1.5-year recurrence floods via connections created by tributary mouths, floodplain outflow channels, and levee breaches excavated by resident beaver. These changes are shown by analysis of aerial images, high-resolution bathymetric and topographic measurements, and 2-dimensional streamflow modeling.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.4014","usgsCitation":"Grams, P.E., Head, E., and Mueller, E., 2022, Effects of flow regulation and drought on geomorphology and floodplain habitat along the Colorado River in Canyonlands National Park, Utah: River Research and Applications, v. 38, no. 7, p. 1266-1276, https://doi.org/10.1002/rra.4014.","productDescription":"11 p.","startPage":"1266","endPage":"1276","ipdsId":"IP-136185","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":402479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park, Green River, Meander Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.0445556640625,\n 38.043765107439675\n ],\n [\n -109.49249267578125,\n 38.043765107439675\n ],\n [\n -109.49249267578125,\n 38.541720956040386\n ],\n [\n -110.0445556640625,\n 38.541720956040386\n ],\n [\n -110.0445556640625,\n 38.043765107439675\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Head, Eric","contributorId":292552,"corporation":false,"usgs":false,"family":"Head","given":"Eric","email":"","affiliations":[{"id":49973,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":845024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":845025,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70232280,"text":"70232280 - 2022 - Prairie grouse and wind energy: The state of the science and implications for risk assessment","interactions":[],"lastModifiedDate":"2022-08-02T14:46:33.367822","indexId":"70232280","displayToPublicDate":"2022-06-24T12:07:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Prairie grouse and wind energy: The state of the science and implications for risk assessment","docAbstract":"How to shape the anticipated build-out of industrial-scale renewable energy in a way that minimizes risk to wildlife remains contentious. This challenge is well-illustrated in the grasslands and shrub-steppe of North America. Here, several endemic species of grouse are the focus of intensive, long-term conservation action by a host of governmental and non-governmental entities, many of whom are now asking: will anticipated increases in the number of wind-energy facilities exacerbate declines or prevent recovery of these species? To help answer this question, we synthesized the potential consequences of wind-energy development on prairie grouse. Published literature on behavior or demography of prairie-grouse at wind-energy facilities is sparse, with studies having been conducted at only 5 different facilities in the United States. Only two of these studies met the standard for robust impact analysis by collecting pre-construction data and using control sites or gradient designs. Published results from only one of the species Greater Prairie-Chicken were available for >1 facility. Most studies also drew conclusions based on short (<4 years) periods of study, which is potentially problematic when studying these highly philopatric species. Given these caveats, we found that, in the short-term, adult survival and nest success appear largely unaffected in populations exposed to wind-energy facilities. However, changes in habitat use by female Greater Sage-Grouse and female Greater Prairie-Chicken during some seasons and reduced lek persistence among male Greater Prairie-Chickens near wind turbines suggest behavioral responses that may have demographic consequences. Prairie grouse can coexist with wind-energy facilities in some cases, at least in the short term, but important uncertainties remain, including the potential for long-term, cumulative effects of the extensive development expected as states attempt to meet goals for generating electricity from renewable sources.","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1305","usgsCitation":"Lloyd, J., Aldridge, C.L., Allison, T.D., LeBeau, C.W., McNew, L.B., and Winder, V.L., 2022, Prairie grouse and wind energy: The state of the science and implications for risk assessment: Wildlife Society Bulletin, v. 46, no. 3, e1305, 15 p., https://doi.org/10.1002/wsb.1305.","productDescription":"e1305, 15 p.","ipdsId":"IP-131650","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":447326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1305","text":"Publisher Index Page"},{"id":402478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.064453125,\n 61.48075950007598\n ],\n [\n -141.15234374999997,\n 59.712097173322924\n ],\n [\n -130.95703125,\n 57.79794388498275\n ],\n [\n -119.53125,\n 37.50972584293751\n ],\n [\n -95.712890625,\n 36.87962060502676\n ],\n [\n -96.15234375,\n 42.4234565179383\n ],\n [\n -96.767578125,\n 46.800059446787316\n ],\n [\n -91.93359375,\n 46.800059446787316\n ],\n [\n -87.890625,\n 48.63290858589535\n ],\n [\n -84.638671875,\n 47.989921667414194\n ],\n [\n -77.16796875,\n 47.39834920035926\n ],\n [\n -77.6953125,\n 55.1286490684888\n ],\n [\n -79.453125,\n 54.77534585936447\n ],\n [\n -78.662109375,\n 51.998410382390325\n ],\n [\n -79.89257812499999,\n 51.069016659603896\n ],\n [\n -82.6171875,\n 52.696361078274485\n ],\n [\n -82.265625,\n 55.1286490684888\n ],\n [\n -84.990234375,\n 55.229023057406344\n ],\n [\n -116.3671875,\n 61.438767493682825\n ],\n [\n -141.064453125,\n 61.48075950007598\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lloyd, John D.","contributorId":292535,"corporation":false,"usgs":false,"family":"Lloyd","given":"John D.","affiliations":[{"id":62931,"text":"Prairie Grouse and Wind Energy: The State of the Science And Implications for Risk Assessment","active":true,"usgs":false}],"preferred":false,"id":844994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":844995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allison, Taber D.","contributorId":292536,"corporation":false,"usgs":false,"family":"Allison","given":"Taber","email":"","middleInitial":"D.","affiliations":[{"id":39329,"text":"American Wind Wildlife Institute","active":true,"usgs":false}],"preferred":false,"id":844996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBeau, Chad W.","contributorId":292537,"corporation":false,"usgs":false,"family":"LeBeau","given":"Chad","email":"","middleInitial":"W.","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":844997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":844998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winder, Virginia L. 0000-0002-5756-3993","orcid":"https://orcid.org/0000-0002-5756-3993","contributorId":245355,"corporation":false,"usgs":false,"family":"Winder","given":"Virginia","email":"","middleInitial":"L.","affiliations":[{"id":49158,"text":"Department of Biology, Benedictine College, Atchison, KS, 66002 USA, vwinder@benedictine.edu","active":true,"usgs":false}],"preferred":false,"id":844999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232281,"text":"70232281 - 2022 - Late Paleoproterozoic to early Mesoproterozoic deposition of quartz arenites across southern Laurentia","interactions":[],"lastModifiedDate":"2022-06-24T16:47:46.757588","indexId":"70232281","displayToPublicDate":"2022-06-24T11:36:54","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Late Paleoproterozoic to early Mesoproterozoic deposition of quartz arenites across southern Laurentia","docAbstract":"Supermature siliciclastic sequences were deposited between 1.64 Ga and 1.59 Ga over a broad swath of southern Laurentia in the Archean, Penokean, Yavapai, and Mazatzal Provinces. These siliciclastic sequences are notable for their extreme mineralogical and chemical maturity, being devoid of detrital feldspar and ferromagnesian minerals, containing the clay mineral kaolinite (or its metamorphic equivalent, pyrophyllite), and having a chemical index of alteration >95. Such maturity is the result of a perfect confluence of tectonic and climatic conditions, including a stable continental crust with low topographic relief (the Archean, Penokean, and Yavapai Provinces ca. 1.70 Ga), a warm humid climate, an elevated level of atmospheric CO2, and relatively acidic pore fluids in the critical zone. The weathered detritus was transported and deposited by southward-flowing streams across the Archean, Penokean, and Yavapai Provinces, ultimately to be deposited on 1.66 Ga volcanic and volcaniclastic rocks in the Mazatzal continental arc along the southern margin of Laurentia.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Laurentia: Turning points in the evolution of a continent","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2022.1220(12)","usgsCitation":"Medaris, L., Daniel, C.G., Doe, M.F., Jones, J.V., and Schwartz, J.J., 2022, Late Paleoproterozoic to early Mesoproterozoic deposition of quartz arenites across southern Laurentia, chap. of Laurentia: Turning points in the evolution of a continent, v. 220, 12 p., https://doi.org/10.1130/2022.1220(12).","productDescription":"12 p.","ipdsId":"IP-129863","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":447328,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/mwr.s.19790353","text":"External Repository"},{"id":402477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"Laurentia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.12109375,\n 29.152161283318915\n ],\n [\n -66.884765625,\n 49.49667452747045\n ],\n [\n -92.28515625,\n 55.7765730186677\n ],\n [\n -119.44335937499999,\n 53.85252660044951\n ],\n [\n -122.431640625,\n 38.8225909761771\n ],\n [\n -119.794921875,\n 34.08906131584994\n ],\n [\n -98.701171875,\n 23.805449612314625\n ],\n [\n -89.12109375,\n 29.152161283318915\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"220","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Whitmeyer, Steven J.","contributorId":105578,"corporation":false,"usgs":true,"family":"Whitmeyer","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":845060,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":845061,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kellett, Dawn A.","contributorId":292561,"corporation":false,"usgs":false,"family":"Kellett","given":"Dawn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":845062,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Tikoff, Basil","contributorId":251800,"corporation":false,"usgs":false,"family":"Tikoff","given":"Basil","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":845063,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Medaris, L. Gordon Jr. 0000-0003-0559-9115","orcid":"https://orcid.org/0000-0003-0559-9115","contributorId":292538,"corporation":false,"usgs":false,"family":"Medaris","given":"L. Gordon","suffix":"Jr.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":845000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel, Christopher G.","contributorId":195246,"corporation":false,"usgs":false,"family":"Daniel","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":25242,"text":"Department of Biology, Bucknell University, Lewisburg, Pennsylvania 17837, USA","active":true,"usgs":false}],"preferred":false,"id":845001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doe, Michael F.","contributorId":292539,"corporation":false,"usgs":false,"family":"Doe","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":845002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":845003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Joshua J.","contributorId":289850,"corporation":false,"usgs":false,"family":"Schwartz","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":845004,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232284,"text":"70232284 - 2022 - Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)","interactions":[],"lastModifiedDate":"2022-08-15T13:56:59.786235","indexId":"70232284","displayToPublicDate":"2022-06-24T10:54:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)","title":"Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)","docAbstract":"Due to their limited geographic distributions and specialized ecologies, cave species are often highly endemic and can be especially vulnerable to habitat degradation within and surrounding the cave systems they inhabit. We investigated the evolutionary history of the West Virginia Spring Salamander (Gyrinophilus subterraneus), estimated the population trend from historic and current survey data, and assessed the current potential for water quality threats to the cave habitat. Our genomic data (mtDNA sequence and ddRADseq-derived SNPs) reveal two, distinct evolutionary lineages within General Davis Cave corresponding to G. subterraneus and its widely distributed sister species, Gyrinophilus porphyriticus, that are also differentiable based on morphological traits. Genomic models of evolutionary history strongly support asymmetric and continuous gene flow between the two lineages, and hybrid classification analyses identify only parental and first generation cross (F1) progeny. Collectively, these results point to a rare case of sympatric speciation occurring within the cave, leading to strong support for continuing to recognize G. subterraneus as a distinct and unique species. Due to its specialized habitat requirements, the complete distribution of G. subterraneus is unresolved, but using survey data in its type locality (and currently the only known occupied site), we find that the population within General Davis Cave has possibly declined over the last 45 years. Finally, our measures of cave and surface stream water quality did not reveal evidence of water quality impairment and provide important baselines for future monitoring. In addition, our unexpected finding of a hybrid zone and partial reproductive isolation between G. subterraneus and G. porphyriticus warrants further attention to better understand the evolutionary and conservation implications of occasional hybridization between the species.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-022-01445-7","usgsCitation":"Campbell Grant, E.H., Mulder, K.P., Brand, A.B., Chambers, D.B., Wynn, A.H., Capshaw, G., Niemiller, M.L., Phillips, J.G., Jacobs, J.F., Kuchta, S.R., and Bell, R., 2022, Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus): Conservation Genetics, v. 23, p. 727-744, https://doi.org/10.1007/s10592-022-01445-7.","productDescription":"18 p.","startPage":"727","endPage":"744","ipdsId":"IP-131641","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":435797,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KO62A3","text":"USGS data release","linkHelpText":"Field data to support speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)"},{"id":402476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Greenbrier","otherGeospatial":"General Davis Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.67157745361328,\n 37.70962774559374\n ],\n [\n -80.46730041503906,\n 37.70962774559374\n ],\n [\n -80.46730041503906,\n 37.774785412131244\n ],\n [\n -80.67157745361328,\n 37.774785412131244\n ],\n [\n -80.67157745361328,\n 37.70962774559374\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2022-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulder, Kevin P.","contributorId":194918,"corporation":false,"usgs":false,"family":"Mulder","given":"Kevin","email":"","middleInitial":"P.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":845013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chambers, Douglas B. 0000-0002-5275-5427 dbchambe@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-5427","contributorId":292547,"corporation":false,"usgs":true,"family":"Chambers","given":"Douglas","email":"dbchambe@usgs.gov","middleInitial":"B.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wynn, Addison H.","contributorId":50648,"corporation":false,"usgs":true,"family":"Wynn","given":"Addison","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":845017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Capshaw, Grace","contributorId":292549,"corporation":false,"usgs":false,"family":"Capshaw","given":"Grace","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":845018,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niemiller, Matthew L.","contributorId":167679,"corporation":false,"usgs":false,"family":"Niemiller","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":845019,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, John G.","contributorId":292550,"corporation":false,"usgs":false,"family":"Phillips","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":845020,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jacobs, Jeremy F.","contributorId":41130,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":845059,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kuchta, Shawn R.","contributorId":102018,"corporation":false,"usgs":true,"family":"Kuchta","given":"Shawn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":845021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bell, Rayna C.","contributorId":292551,"corporation":false,"usgs":false,"family":"Bell","given":"Rayna C.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":845022,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70232286,"text":"70232286 - 2022 - Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska","interactions":[],"lastModifiedDate":"2022-06-24T15:54:30.050088","indexId":"70232286","displayToPublicDate":"2022-06-24T10:43:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska","docAbstract":"The National Petroleum Reserve in Alaska (NPR-A) encompasses more than 9.5 million hectares of federally managed land on the Arctic Coastal Plain of northern Alaska, where it supports a diversity of wildlife, including millions of migratory birds. Within the NPR-A, Teshekpuk Lake and the surrounding area provide important habitat for migratory birds and this area has been designated by the Bureau of Land Management as the Teshekpuk Lake Special Area (TLSA) because numerous waterfowl species use the area for breeding and molting. Our goal was to provide a mechanism for land managers to assess relative value of areas for molting waterfowl. This approach was based on the population densities of Pacific black brant (Branta bernicla nigricans) and cackling geese (Branta hutchinsii) and pre-defined thresholds for the minimum fraction of the population contained within selected areas. Prioritizations were based on long-term records of population density combined with global-positioning system data to reveal small-scale patterns of habitat use. The highest population density of the Pacific black brant was found along the Beaufort Sea coast on the eastern edge of the study area, whereas cackling geese were somewhat more widely distributed. Depending on the criteria used for prioritization and width of protective buffers placed around selected units, 52–85% of the Goose Molting Area was identified as high-priority area. The effectiveness of this approach to protection of molting birds assumes that buffers around high value units are wide enough to provide adequate protection from disturbance related to oil and gas development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02182","usgsCitation":"Flint, P.L., Patil, V.P., Shults, B., and Thompson, S.J., 2022, Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska: Global Ecology and Conservation, v. 38, e02182, 8 p., https://doi.org/10.1016/j.gecco.2022.e02182.","productDescription":"e02182, 8 p.","ipdsId":"IP-141109","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":447331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02182","text":"Publisher Index Page"},{"id":402475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve, Teshekpuk Lake Special Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.3798828125,\n 70.43495936895164\n ],\n [\n -151.97113037109375,\n 70.43495936895164\n ],\n [\n -151.97113037109375,\n 70.9695509984817\n ],\n [\n -154.3798828125,\n 70.9695509984817\n ],\n [\n -154.3798828125,\n 70.43495936895164\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":845026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":845027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shults, Bradley","contributorId":224468,"corporation":false,"usgs":false,"family":"Shults","given":"Bradley","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":845028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":845029,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255021,"text":"70255021 - 2022 - Progression of infection and detection of Pseudoloma neurophilia in zebrafish Danio rerio Hamilton by PCR and histology","interactions":[],"lastModifiedDate":"2024-06-11T15:38:26.240566","indexId":"70255021","displayToPublicDate":"2022-06-24T10:34:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Progression of infection and detection of Pseudoloma neurophilia in zebrafish Danio rerio Hamilton by PCR and histology","title":"Progression of infection and detection of Pseudoloma neurophilia in zebrafish Danio rerio Hamilton by PCR and histology","docAbstract":"Pseudoloma neurophilia is a critical threat to the zebrafish (Danio rerio) model, as it is the most common infectious agent found in research facilities. In this study, our objectives were two-fold: (1) compare the application of diagnostic tools for P. neurophilia and (2) track the progression of infection using PCR and histology. The first experiment showed that whole-body analysis by qPCR (WB-qPCR) can be a standardized process, providing a streamlined diagnostic protocol, without the need for extraction of specific tissues. Evaluating the course of infection in experimentally infected fish, we showed key dynamics in infection. Starting with a low dose exposure of 8000 spores/fish, the prevalence remained low until 92 days post-exposure (dpe), followed by a 30%–40% prevalence by histology or 40%–90% by PCR until the end of the experiment at 334 dpe. WB-qPCR positively detected infection in more fish than histology throughout the study, as WB-qPCR detected the parasite as early as 4 dpe, whereas it was undetected by histology until 92 dpe. We also added a second slide for histologic analyses, showing an increase in detection rate from 24% to 26% when we combined all data from our experiments, but this increase was not statistically significant.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13675","usgsCitation":"Schuster, C.J., Kreul, T., Al-Samarrie, C.E., Peterson, J., Sanders, J., and Kent, M., 2022, Progression of infection and detection of Pseudoloma neurophilia in zebrafish Danio rerio Hamilton by PCR and histology: Journal of Fish Diseases, v. 45, no. 10, p. 1463-1475, https://doi.org/10.1111/jfd.13675.","productDescription":"13 p.","startPage":"1463","endPage":"1475","ipdsId":"IP-142137","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Schuster, Corbin J.","contributorId":338307,"corporation":false,"usgs":false,"family":"Schuster","given":"Corbin","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreul, Taylor","contributorId":338308,"corporation":false,"usgs":false,"family":"Kreul","given":"Taylor","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Samarrie, Colleen E.","contributorId":338309,"corporation":false,"usgs":false,"family":"Al-Samarrie","given":"Colleen","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanders, Justin L.","contributorId":338310,"corporation":false,"usgs":false,"family":"Sanders","given":"Justin L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kent, Michael L.","contributorId":338311,"corporation":false,"usgs":false,"family":"Kent","given":"Michael L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903106,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232283,"text":"70232283 - 2022 - Provenance of Devonian-Carboniferous strata of Colorado: The influence of the Cambrian and the Proterozoic","interactions":[],"lastModifiedDate":"2022-06-24T15:42:08.004746","indexId":"70232283","displayToPublicDate":"2022-06-24T10:24:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3310,"text":"Rocky Mountain Geology","active":true,"publicationSubtype":{"id":10}},"title":"Provenance of Devonian-Carboniferous strata of Colorado: The influence of the Cambrian and the Proterozoic","docAbstract":"We report new LA-ICPMS U-Pb detrital zircon ages and sedimentary petrology of silty to sandy limestones and dolostones, as well as calcareous to dolomitic sandstones of the Devonian-Carboniferous (Mississippian) Chaffee Group, as well as detrital zircon ages from the Late Cambrian Sawatch Quartzite and a U-Pb zircon crystallization age on a late Mesoproterozoic (1087.9 13.5 Ma) granitoid of underlying basement from the Eagle basin of Colorado. Grain populations in the Chaffee Group are mostly bimodal, with over 84% of zircons centered around a Paleoproterozoic (ca. 1.78 Ga) mode typical of the Yavapai Province that forms much of the basement of Colorado and an early Mesoproterozoic (ca. 1.42 Ga) mode typical of A-type granites that intrude this region. A notable late Mesoproterozoic (ca. 1.08 Ga) mode exists in some Chaffee samples, giving those samples a trimodal detrital zircon age distribution. These bipartite or tripartite detrital zircon age modes exist in Cambrian, Devonian and Carboniferous strata from paleogeographically adjacent successions, but the correlation between the Chaffee zircons is highest with the regions basal Cambrian sandstones (Sawatch, Flathead, Ignacio formations) which have similar (1.08 Ga, 1.43 Ga, 1.71 Ga) zircon populations and a paucity of >1.8 Ga grains. This similarity suggests that the majority of grains in the Chaffee Group derive from recycling of these basal sandstones, and that little sediment was derived directly from then-exposed Precambrian basement highs, from the Wyoming Craton to the north, or from Paleoproterozoic arcs and orogens to the west and northeast. Minor Mesoarchean to early Paleoproterozoic (ca. 3.00 to 2.40 Ga) grains exist in the Chaffee Group, an attribute shared by the Late Ordovician Harding Sandstone of Colorados Front Range, but that is absent from the regions underlying Cambrian sandstonessuggesting some recycled mixture of Cambrian and Ordovician sedimentary rocks. No near-depositional age grains are present in the Chaffee Group; the youngest grain is Early Devonian (~417 Ma), >45 m.y. older than these strata, and Paleozoic grains are extremely uncommon (<0.1%; n=2927 grains).","language":"English","publisher":"University of Wyoming","doi":"10.24872/rmgjournal.57.1.1","usgsCitation":"Holm-Denoma, C., Matthews, W.A., Soar, L., Longman, M.W., and Hagadorn, J.W., 2022, Provenance of Devonian-Carboniferous strata of Colorado: The influence of the Cambrian and the Proterozoic: Rocky Mountain Geology, v. 57, no. 1, p. 1-21, https://doi.org/10.24872/rmgjournal.57.1.1.","productDescription":"21 p.","startPage":"1","endPage":"21","ipdsId":"IP-134077","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":402474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Eagle Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.10983276367186,\n 39.40861097325807\n ],\n [\n -106.16500854492188,\n 39.40861097325807\n ],\n [\n -106.16500854492188,\n 39.890772566959534\n ],\n [\n -107.10983276367186,\n 39.890772566959534\n ],\n [\n -107.10983276367186,\n 39.40861097325807\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":845008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matthews, William A.","contributorId":292542,"corporation":false,"usgs":false,"family":"Matthews","given":"William","email":"","middleInitial":"A.","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":845009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soar, Linda","contributorId":292543,"corporation":false,"usgs":false,"family":"Soar","given":"Linda","email":"","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":845010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Longman, Mark W.","contributorId":292544,"corporation":false,"usgs":false,"family":"Longman","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":845011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagadorn, James W.","contributorId":219765,"corporation":false,"usgs":false,"family":"Hagadorn","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":40069,"text":"Denver Museum of Nature and Science, Department of Earth Sciences","active":true,"usgs":false}],"preferred":false,"id":845012,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255102,"text":"70255102 - 2022 - Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts","interactions":[],"lastModifiedDate":"2024-06-17T13:42:40.49227","indexId":"70255102","displayToPublicDate":"2022-06-24T08:33:11","publicationYear":"2022","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":"Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts","docAbstract":"Monitoring is usually among the first actions taken to help inform recovery planning for declining species, but these data are rarely used formally to inform conservation decision making. For example, Central Valley Chinook salmon were once abundant, but anthropogenic activities have led to widespread habitat loss and degradation resulting in significant population declines. Monitoring data suggest survival through the southern Sacramento-San Joaquin River Delta, in particular, may be a limiting factor for juvenile Chinook salmon outmigrating from the San Joaquin River and its tributaries. However, survival and routing monitoring data have not been formally used to inform water management in a decision analytic framework. Here, we illustrate how estimates derived from disjunct monitoring data can be used to inform water management and as a basis for adaptively managing flows. We aggregated a meta-analysis of Chinook salmon smolt survival and routing estimates through the south Delta with other sources of data to develop a survival and routing simulation model to estimate optimal flows for the San Joaquin River during smolt outmigration from February–May. We found that large flow pulses at predictable times during the spring are projected to be optimal for increasing Chinook salmon smolt survival to the San Francisco Bay and that optimal scenarios differed somewhat with water year type. Sensitivity analysis revealed temperature and smolt outmigration timing are driving optimal pulse distribution and that water allocation changes little with parameter uncertainty. This case study highlights the utility of the decision-analytic framework for solving conservation problems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2022.110058","usgsCitation":"Wohner, P.J., Duarte, A., Wikert, J., Cavallo, B., Zeug, S.C., and Peterson, J., 2022, Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts: Ecological Modelling, v. 471, 110058, 17 p., https://doi.org/10.1016/j.ecolmodel.2022.110058.","productDescription":"110058, 17 p.","ipdsId":"IP-133558","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2022.110058","text":"Publisher Index Page"},{"id":430269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.22739494059627,\n 38.193612778746115\n ],\n [\n -122.22739494059627,\n 37.63171263541648\n ],\n [\n -120.98640474009068,\n 37.63171263541648\n ],\n [\n -120.98640474009068,\n 38.193612778746115\n ],\n [\n -122.22739494059627,\n 38.193612778746115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"471","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wohner, Patti J.","contributorId":338611,"corporation":false,"usgs":false,"family":"Wohner","given":"Patti","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":338612,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wikert, John","contributorId":338613,"corporation":false,"usgs":false,"family":"Wikert","given":"John","email":"","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cavallo, Brad","contributorId":338615,"corporation":false,"usgs":false,"family":"Cavallo","given":"Brad","email":"","affiliations":[{"id":81177,"text":"Cramer Fish Sciences, Modeling, Analysis, and Synthesis Lab","active":true,"usgs":false}],"preferred":false,"id":903402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zeug, Steven C.","contributorId":338617,"corporation":false,"usgs":false,"family":"Zeug","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":81177,"text":"Cramer Fish Sciences, Modeling, Analysis, and Synthesis Lab","active":true,"usgs":false}],"preferred":false,"id":903403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903398,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70231865,"text":"70231865 - 2022 - Wading bird foraging on a wetland landscape: A comparison of two strategies","interactions":[],"lastModifiedDate":"2022-06-01T13:30:54.834529","indexId":"70231865","displayToPublicDate":"2022-06-24T08:28:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2699,"text":"Mathematical Biosciences and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Wading bird foraging on a wetland landscape: A comparison of two strategies","docAbstract":"Tactile-feeding wading birds, such as wood storks and white ibises, require high densities of prey such as small fishes and crayfish to support themselves and their offspring during the breeding season. Prey availability in wetlands is often determined by seasonal hydrologic pulsing, such as in the subtropical Everglades, where spatial distributions of prey can vary through time, becoming heterogeneously clumped in patches, such as ponds or sloughs, as the wetland dries out. In this mathematical modeling study, we selected two possible foraging strategies to examine how they impact total energetic intake over a time scale of one day. In the first, wading birds sample prey patches without a priori knowledge of the patches' prey densities, moving from patch to patch, staying long enough to estimate the prey density, until they find one that meets a predetermined satisfactory threshold, and then staying there for a longer period. For this case, we solve for a wading bird's expected prey intake over the course of a day, given varying theoretical probability distributions of patch prey densities across the landscape. In the second strategy considered, it is assumed that the wading bird samples a given number of patches, and then uses memory to return to the highest quality patch. Our results show how total intake over a day is impacted by assumptions of the parameters governing the spatial distribution of prey among patches, which is a key source of parameter uncertainty in both natural and managed ecosystems. Perhaps surprisingly, the foraging strategy that uses a prey density threshold generally led to higher maximum potential prey intake than the strategy for using memory to return to the best patch sampled. These results will contribute to understanding the foraging of wading birds and to the management of wetlands.
","language":"English","publisher":"AIMS Press","doi":"10.3934/mbe.2022361","usgsCitation":"Lee, H.W., DeAngelis, D.L., Yurek, S., and Tennenbaum, S., 2022, Wading bird foraging on a wetland landscape: A comparison of two strategies: Mathematical Biosciences and Engineering, v. 19, no. 8, p. 7687-7718, https://doi.org/10.3934/mbe.2022361.","productDescription":"32 p.","startPage":"7687","endPage":"7718","ipdsId":"IP-138910","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":447339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/mbe.2022361","text":"Publisher Index Page"},{"id":401534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Hyo Won","contributorId":292184,"corporation":false,"usgs":false,"family":"Lee","given":"Hyo","email":"","middleInitial":"Won","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":844003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":844004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tennenbaum, Stephen","contributorId":292180,"corporation":false,"usgs":false,"family":"Tennenbaum","given":"Stephen","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":844006,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70240834,"text":"70240834 - 2022 - Special issue “Understanding phreatic eruptions - recent observations of Kusatsu-Shirane volcano and equivalents -”","interactions":[],"lastModifiedDate":"2023-02-24T13:16:19.411863","indexId":"70240834","displayToPublicDate":"2022-06-24T07:14:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1430,"text":"Earth, Planets and Space","active":true,"publicationSubtype":{"id":10}},"title":"Special issue “Understanding phreatic eruptions - recent observations of Kusatsu-Shirane volcano and equivalents -”","docAbstract":"No abstract available.
","language":"English","publisher":"Springer","doi":"10.1186/s40623-022-01643-0","usgsCitation":"Ogawa, Y., Ohba, T., Fischer, T., Yamamoto, M., and Jolly, A., 2022, Special issue “Understanding phreatic eruptions - recent observations of Kusatsu-Shirane volcano and equivalents -”: Earth, Planets and Space, v. 74, 100, 5 p., https://doi.org/10.1186/s40623-022-01643-0.","productDescription":"100, 5 p.","ipdsId":"IP-139202","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":447342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40623-022-01643-0","text":"Publisher Index Page"},{"id":413400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","noUsgsAuthors":false,"publicationDate":"2022-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ogawa, Yasuo","contributorId":302663,"corporation":false,"usgs":false,"family":"Ogawa","given":"Yasuo","email":"","affiliations":[{"id":38251,"text":"Tokyo Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":865005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ohba, Takeshi","contributorId":302664,"corporation":false,"usgs":false,"family":"Ohba","given":"Takeshi","email":"","affiliations":[{"id":65528,"text":"Tokai University","active":true,"usgs":false}],"preferred":false,"id":865006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, Tobias","contributorId":267762,"corporation":false,"usgs":false,"family":"Fischer","given":"Tobias","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":865007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yamamoto, Mare","contributorId":302665,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Mare","email":"","affiliations":[{"id":36517,"text":"Tohoku University","active":true,"usgs":false}],"preferred":false,"id":865008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jolly, A.D. 0000-0003-1020-9062","orcid":"https://orcid.org/0000-0003-1020-9062","contributorId":296487,"corporation":false,"usgs":true,"family":"Jolly","given":"A.D.","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":865009,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254298,"text":"70254298 - 2022 - Satellite remote sensing of crop water use across the Missouri River Basin for 1986–2018 period","interactions":[],"lastModifiedDate":"2024-05-17T11:43:50.362857","indexId":"70254298","displayToPublicDate":"2022-06-24T06:42:18","publicationYear":"2022","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":"Satellite remote sensing of crop water use across the Missouri River Basin for 1986–2018 period","docAbstract":"Understanding historical crop water use (CWU) dynamics is important to improve land and water management. In this study, well-validated (coefficient of determination = 0.91, percent bias = 4%, and percent root mean square error = 11.8%) Landsat-based actual evapotranspiration (ETa) time-series estimations were used to (1) assess summer season CWU (CWU-Su) dynamics, (2) investigate CWU-Su trends over the study period (1986–2018; 33 years) at the regional- and pixel-scales, and (3) attribute CWU-Su driving factors across Missouri River Basin. Spatial variability of the ETa estimations along with the observed bimodal probability density distribution of ETa highlighted a strong relation between land cover and water uses across the basin. The bimodal distribution of ETa also indicated the presence of two major landcovers in the basin. The drier foothill regions in northwestern Missouri River Basin, dominated by grassland/shrubland, showed lower ETa (< 500 mm/year), whereas cropland dominated regions in lower semi-humid basin and forested subbasins exhibited higher ETa (> 600 mm/year). The CWU-Su anomalies revealed the vulnerability of the basin to year-to-year weather conditions. The CWU-Su trend analysis revealed a significant positive trend (p < 0.1) at the regional-scale affecting 30% of basin’s cropland pixels. The cropland pixels under positive CWU-Su trend were found to be clustered in the eastern and central Missouri River Basin as a result of the combined effect of increased crop production area, increased crop yields, crop practice shifts to higher biomass crops, and increased irrigated land. The effect of improved irrigation and water management practices on reducing CWU-Su was observed in western Missouri River Basin, which had a stable major crop throughout the study period. Overall, the study highlights the usefulness of Landsat imagery and remote sensing-based ETa modeling approaches in generating historical time-series ETa maps over a wide range of elevation, vegetation, and climate.
Understanding the role that an environmental prion reservoir plays in the outbreak dynamics of chronic wasting disease (CWD) in free ranging white-tailed deer (Odocoileus virginianus) is critical for the allocation of disease surveillance resources by state and provincial wildlife agencies. We hypothesized that demographic, ecological, and epidemiological configurations naturally attenuate epidemic risk despite the introduction of infectious prions into a susceptible population of deer, but the magnitude of infectious prions in the environmental prion reservoir complicate outbreak expectations. We developed a Susceptible-Latent-Exposed-Infective (SLEI) compartment model to represent the dynamics of CWD epidemics in free-ranging white-tailed deer, then used the basic reproductive ratio (
In oil spill research, a topic of increasing attention during the last decade has been the environmental impact of the partial oxidation products that result from transformation of the petroleum in freshwater, marine, and terrestrial ecosystems. This report describes the isolation and characterization of the partial oxidation products from crude oil contaminating groundwater at the long-term U.S. Geological Survey Bemidji research site in Minnesota. As the result of a pipeline burst in August 1979, a body of light aliphatic crude oil is present from the land surface to 2 meters below the water table in a shallow sand and gravel aquifer in a remote area outside Bemidji, Minnesota, United States. Biodegradation has resulted in the formation of a plume of dissolved organic carbon (DOC) downgradient from the oil body. Groundwater has also been contaminated in an area known as the spray zone, from vertical infiltration of DOC resulting from biodegradation of oil in the soil column, and possibly from photooxidation of oil at the soil surface. The majority of DOC in the contaminated groundwater is in the form of nonvolatile organic acids (NVOAs) which represent the partial oxidation products of the crude oil constituents. The NVOAs have been classified into three fractions according to their isolation on XAD resins: hydrophobic neutrals (HPON), hydrophobic acids (HPOA), and hydrophilic acids (HPIA). These fractions of NVOAs were isolated from wells downgradient from the oil body (sampling well numbers 533, 532, 530, 515), in the spray zone (603), and from an uncontaminated well upgradient of the oil body (310) between the years 1986 and 1989, and again from wells 530 and 603 in 1998. The samples have been characterized by elemental analysis, radiocarbon dating, carbon-13 nuclear magnetic resonance spectroscopy (13C NMR), and negative-mode (-) electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI FTICR-MS), with a particular focus on fractions from wells 310, 530, and 603.
All the characterization data indicate that the NVOAs from contaminated wells are distinguishable from the background DOC. Carbon-14 (14C) ages of NVOAs from contaminated wells ranged from 3,615 to 18,985 years before the present, whereas the background DOC from the aquifer was post-bomb (post 1950). By elemental analysis, NVOAs from contaminated wells had higher sulfur but lower nitrogen contents than the background. By electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry, number average molecular weights determined from assigned molecular formulas ranged from 416 to 486 daltons for the HPOA and HPIA fractions from both background and contaminant wells. NVOAs from contaminated wells had significantly greater numbers of assigned molecular formulas containing sulfur, with elevated concentrations of the S1O4-10 species in particular. Compared to the background, HPOA and HPIA fractions from contaminant wells had a broader range of double bond equivalents (DBEs) within On compound classes (n is number of atoms). Additionally, within On compound classes, contaminant well HPOA fractions had a greater abundance of lower n (less than eight) than the background. Contaminant well double bond equivalents versus carbon number (C#) plots of oxygen compound classes suggest oil-derived aliphatic compounds in the range from C12 to C22 in HPOA and HPIA fractions and oil-derived compounds containing aromatic or saturated rings in the approximate range from C20 to C30 are present in HPOA fractions.
The data suggest the NVOAs originate from biodegradation of several classes of C12 and greater crude oil constituents: sulfur-containing constituents, including possibly the resins and asphaltenes; constituents containing aromatic rings substituted with methyl groups, including alkylaromatic and naph-
thenoaromatic compounds, and C12 to C22 alkyl constituents. The overall similarities of the carbon-13 nuclear magnetic resonance spectra for the well 603 and 530 samples from the two sampling dates suggest that a steady state in the composition of the partial oxidation products in each of the two wells had been reached between 1986–1989 and 1998.
Chief, USGS National Water Quality Laboratory
U.S. Geological Survey
Box 25585, Mail Stop 407
Denver, CO 80225-0585
The U.S. Geological Survey worked in cooperation with the New York State Department of Environmental Conservation to assess the potential sources of fecal contamination entering a part of Great South Bay (referred to as Great South Bay for the purposes of this report) near the hamlets of West Sayville, Sayville, and Bayport on the southern shore of Suffolk County on Long Island, New York. Water samples are routinely collected by the New York State Department of Environmental Conservation in the bay 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, and surrounding land use where a sample was collected help determine the geographical source and conveyance of land-based water to the embayment. Analysis revealed that the most substantial source of fecal contamination to Great South Bay was discharge from sites draining ponds and wetlands into the tributaries sampled, Brown and Green Creeks, particularly during the summer months. Fecal coliform bacteria at sites where ponds and wetlands drain are increased by stormwater runoff, which is another substantial source of fecal contamination. Sites with high concentrations of fecal coliform bacteria in the summer exacerbated by stormwater include the Brown Creek Culvert at Middle Road, Mill Pond Culvert near South Street, and Green Creek Culvert near Montauk Highway sites. The canine Bacteroides (BacCan) marker was the most frequently detected microbial source tracking marker with 15 positive detections in surface water across the landscape, followed by the waterfowl Helicobacter (GFD) marker with 9 detections and the human Bacteroides (HF183) marker with 4 detections in surface water (excluding 2 detections in sediment). The ruminant Bacteroides (Rum2Bac) marker was not detected in any samples collected during this study. The detection frequency of BacCan was similar for all sampling conditions and seasons, suggesting canine influence is unrelated to weather events and is a year-round occurrence. BacCan was detected in 14 of 16 source samples and only 1 of 16 receptor samples, which suggests that canine fecal contamination is likely diluted in the bay. There was a similar amount of marker detections when comparing weather condition (wet or dry) and season (winter or summer), suggesting that fecal contamination was unrelated to weather events or time of year. Eight waterfowl marker detections were in samples collected during the winter, and only one during the summer, implicating seasonal avian fecal contamination throughout the embayment. The human marker was detected in only one surface-water receptor sample, during the wet winter sampling event at the Green Creek Mid-Bay site. Three of four human marker detections were in the samples collected during the wet winter sampling event, indicating that weather and season may influence the presence of human markers in Great South Bay, but human markers are not overly prevalent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225057","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., 2022, Using microbial source tracking to identify fecal contamination sources in Great South Bay on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2022–5057, 19 p., https://doi.org/10.3133/sir20225057.","productDescription":"Report: vi, 19 p.; Database","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-130966","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":402453,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225057/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5057"},{"id":402437,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/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":402389,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5057/sir20225057.XML"},{"id":402388,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5057/images/"},{"id":402387,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the nation"},{"id":402386,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5057/sir20225057.pdf","text":"Report","size":"1.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5057"},{"id":402382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5057/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Great South Bay, Long island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.24653625488281,\n 40.6306300839918\n ],\n [\n -73.03367614746094,\n 40.67647212850004\n ],\n [\n -73.03504943847656,\n 40.73216945026674\n ],\n [\n -73.13529968261719,\n 40.718119379753446\n ],\n [\n -73.25340270996094,\n 40.70042247927178\n ],\n [\n -73.24653625488281,\n 40.6306300839918\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
Traditional methods to assess the probability of storm-induced erosion and flooding from extreme water levels have limited use along the U.S. West Coast where swell dominates erosion and storm surge is limited. This effort presents methodology to assess the probability of erosion and flooding for the U.S. West Coast from extreme total water levels (TWLs), but the approach is applicable to coastal settings worldwide. TWLs were derived from 61 years of wave and water level data at shore-perpendicular transects every 100-m along open coast shorelines. At each location, wave data from the Global Ocean Waves model were downscaled to the nearshore and used to empirically calculate wave run-up. Tides were simulated using the Oregon State University’s tidal data inversion model and non-tidal residuals were calculated from sea-surface temperature and pressure anomalies. Wave run-up was combined with still water levels to generate hourly TWL estimates and extreme TWLs for multiple return periods. Extremes were compared to onshore morphology to determine erosion hazards and define the probability of collision, overwash, and inundation.
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