Eastern redcedar (Juniperus virginiana) is a fire-intolerant tree species that has encroached into grassland ecosystems throughout central and eastern North America. Many land managers are interested in removing eastern redcedar to restore native grasslands. We surveyed small mammals using mark-recapture methods in eastern redcedar forest, warm-season grassland, and oldfield habitats in the Ozark region of northwest Arkansas. We conducted over 3300 trap-nights and captured 176 individuals belonging to eight small mammal species, primarily Peromyscus spp. and Reithrodonotmys fulvescens. While species diversity did not vary among habitats, small mammal species composition in eastern redcedar forest differed from that of warm-season grassland and oldfield habitats. The small mammal community of eastern redcedar forest is as diverse as the warm-season grasslands and oldfields it succeeds but replaces grassland associated small mammal species with forest associated species.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/amid-175-01-113-119.1","usgsCitation":"Reddin, C.J., and Krementz, D.G., 2016, Small mammal communities in eastern redcedar forest: American Midland Naturalist, v. 175, no. 1, p. 113-119, https://doi.org/10.1674/amid-175-01-113-119.1.","productDescription":"7 p.","startPage":"113","endPage":"119","ipdsId":"IP-057328","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"175","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fbf","contributors":{"authors":[{"text":"Reddin, Christopher J.","contributorId":200687,"corporation":false,"usgs":false,"family":"Reddin","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70180371,"text":"70180371 - 2016 - Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","interactions":[],"lastModifiedDate":"2017-02-16T15:41:14","indexId":"70180371","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","docAbstract":"Key Results\r\n\r\nThis report presents potentiometric-surface maps of the Aquia and Magothy aquifers and the Upper Patapsco, Lower Patapsco, and Patuxent aquifer systems using water levels measured during September 2015. Water-level difference maps are also presented for these aquifers. The water-level differences in the Aquia aquifer are shown using groundwater-level data from 1982 and 2015, while the water-level differences are shown for the Magothy aquifer using data from 1975 and 2015. Water-level difference maps for both the Upper Patapsco and Lower Patapsco aquifer systems are shown using data from 1990 and 2015. The water-level differences in the Patuxent aquifer system are shown using groundwater-level data from 2007 and 2015.\r\n\r\nThe potentiometric surface maps show water levels ranging from 53 feet above sea level to 164 feet below sea level in the Aquia aquifer, from 86 feet above sea level to 106 feet below sea level in the Magothy aquifer, from 115 feet above sea level to 115 feet below sea level in the Upper Patapsco aquifer system, from 106 feet above sea level to 194 feet below sea level in the Lower Patapsco aquifer system, and from 165 feet above sea level to 171 feet below sea level in the Patuxent aquifer system. Water levels have declined by as much as 116 feet in the Aquia aquifer since 1982, 99 feet in the Magothy aquifer since 1975, 66 and 83 feet in the Upper Patapsco and Lower Patapsco aquifer systems, respectively, since 1990, and 80 feet in the Patuxent aquifer system since 2007.","language":"English","publisher":"Maryland Geological Survey","collaboration":"Maryland Geological Survey; Maryland Department of Natural Resources","usgsCitation":"Curtin, S.E., Staley, A.W., and Andreasen, D.C., 2016, Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015, iii., 30 p. .","productDescription":"iii., 30 p. ","ipdsId":"IP-077192","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":335793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334236,"type":{"id":15,"text":"Index Page"},"url":"https://www.mgs.md.gov/publications/report_pages/OFR_16-02-02.html"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286294","contributors":{"authors":[{"text":"Curtin, Stephen E. securtin@usgs.gov","contributorId":3703,"corporation":false,"usgs":true,"family":"Curtin","given":"Stephen","email":"securtin@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staley, Andrew W.","contributorId":178867,"corporation":false,"usgs":false,"family":"Staley","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":661416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andreasen, David C.","contributorId":178868,"corporation":false,"usgs":false,"family":"Andreasen","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":661417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193146,"text":"70193146 - 2016 - Establishing a baseline of estuarine submerged aquatic vegetation resources across salinity zones within coastal areas of the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-11-21T13:00:59","indexId":"70193146","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Establishing a baseline of estuarine submerged aquatic vegetation resources across salinity zones within coastal areas of the northern Gulf of Mexico","docAbstract":"Coastal ecosystems are dynamic and productive areas that are vulnerable to effects of global climate change. Despite their potentially limited spatial extent, submerged aquatic vegetation (SAV) beds function in coastal ecosystems as foundation species, and perform important ecological services. However, limited understanding of the factors controlling SAV distribution and abundance across multiple salinity zones (fresh, intermediate, brackish, and saline) in the northern Gulf of Mexico restricts the ability of models to accurately predict resource availability. We sampled 384 potential coastal SAV sites across the northern Gulf of Mexico in 2013 and 2014, and examined community and species-specific SAV distribution and biomass in relation to year, salinity, turbidity, and water depth. After two years of sampling, 14 species of SAV were documented, with three species (coontail [Ceratophyllum demersum], Eurasian watermilfoil [Myriophyllum spicatum], and widgeon grass [Ruppia maritima]) accounting for 54% of above-ground biomass collected. Salinity and water depth were dominant drivers of species assemblages but had little effect on SAV biomass. Predicted changes in salinity and water depths along the northern Gulf of Mexico coast will likely alter SAV production and species assemblages, shifting to more saline and depth-tolerant assemblages, which in turn may affect habitat and food resources for associated faunal species.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Hillmann, E.R., DeMarco, K., and LaPeyre, M.K., 2016, Establishing a baseline of estuarine submerged aquatic vegetation resources across salinity zones within coastal areas of the northern Gulf of Mexico: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 3, p. 25-32.","productDescription":"8 p.","startPage":"25","endPage":"32","ipdsId":"IP-066781","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.5478515625,\n 28\n ],\n [\n -87.099609375,\n 28\n ],\n [\n -87.099609375,\n 31\n ],\n [\n -96.5478515625,\n 31\n ],\n [\n -96.5478515625,\n 28\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fb7","contributors":{"authors":[{"text":"Hillmann, Eva R.","contributorId":200686,"corporation":false,"usgs":false,"family":"Hillmann","given":"Eva","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeMarco, Kristin","contributorId":200003,"corporation":false,"usgs":false,"family":"DeMarco","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":723054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176570,"text":"70176570 - 2016 - A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes","interactions":[],"lastModifiedDate":"2016-09-21T16:20:15","indexId":"70176570","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes","docAbstract":"Salt marsh losses have been documented worldwide because of land use change, wave erosion, and sea-level rise. It is still unclear how resistant salt marshes are to extreme storms and whether they can survive multiple events without collapsing. Based on a large dataset of salt marsh lateral erosion rates collected around the world, here, we determine the general response of salt marsh boundaries to wave action under normal and extreme weather conditions. As wave energy increases, salt marsh response to wind waves remains linear, and there is not a critical threshold in wave energy above which salt marsh erosion drastically accelerates. We apply our general formulation for salt marsh erosion to historical wave climates at eight salt marsh locations affected by hurricanes in the United States. Based on the analysis of two decades of data, we find that violent storms and hurricanes contribute less than 1% to long-term salt marsh erosion rates. In contrast, moderate storms with a return period of 2.5 mo are those causing the most salt marsh deterioration. Therefore, salt marshes seem more susceptible to variations in mean wave energy rather than changes in the extremes. The intrinsic resistance of salt marshes to violent storms and their predictable erosion rates during moderate events should be taken into account by coastal managers in restoration projects and risk management plans.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1510095112","usgsCitation":"Leonardi, N., Ganju, N., and Fagherazzi, S., 2016, A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 1, p. 64-68, https://doi.org/10.1073/pnas.1510095112.","productDescription":"5 p.","startPage":"64","endPage":"68","ipdsId":"IP-065113","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1510095112","text":"Publisher Index Page"},{"id":328837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-22","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbdf","contributors":{"authors":[{"text":"Leonardi, Nicoletta","contributorId":174783,"corporation":false,"usgs":false,"family":"Leonardi","given":"Nicoletta","affiliations":[{"id":27508,"text":"Dept of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":649263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":140088,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":649264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagherazzi, Sergio","contributorId":89282,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"Sergio","affiliations":[],"preferred":false,"id":649265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192989,"text":"70192989 - 2016 - Climatic and topographical factors affecting the vegetative carbon stock of rangelands in arid and semiarid regions of China","interactions":[],"lastModifiedDate":"2017-10-30T14:36:39","indexId":"70192989","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5535,"text":"Journal of Resources and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climatic and topographical factors affecting the vegetative carbon stock of rangelands in arid and semiarid regions of China","docAbstract":"Rangeland systems play an important role in ecological stabilization and the terrestrial carbon cycle in arid and semiarid regions. However, little is known about the vegetative carbon dynamics and climatic and topographical factors that affect vegetative carbon stock in these rangelands. Our goal was to assess vegetative carbon stock by examining meteorological data in conjunction with NDVI (normalized difference vegetation index) time series datasets from 2001–2012. An improved CASA (Carnegie Ames Stanford Approach) model was then applied to simulate the spatiotemporal dynamic variation of vegetative carbon stock, and analyze its response to climatic and topographical factors. We estimated the vegetative carbon stock of rangeland in Gansu province, China to be 4.4× 1014 gC, increasing linearly at an annual rate of 9.8×1011 gC. The mean vegetative carbon density of the whole rangeland was 136.5 gC m-2. Vegetative carbon density and total carbon varied temporally and spatially and were highly associated with temperature, precipitation and solar radiation. Vegetative carbon density reached the maximal value on elevation at 2500–3500 m, a slope of >30°and easterly aspect. The effect of precipitation, temperature and solar radiation on the vegetative carbon density of five rangeland types (desert and salinized meadow, steppe, alpine meadow, shrub and tussock, and marginal grassland in the forest) depends on the acquired quantity of water and heat for rangeland plants at all spatial scales. The results of this study provide new evidence for explaining spatiotemporal heterogeneity in vegetative carbon dynamics and responses to global change for rangeland vegetative carbon stock, and offer a theoretical and practical basis for grassland agriculture management in arid and semiarid regions.
","language":"English","publisher":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences","doi":"10.5814/j.issn.1674-764x.2016.06.002","usgsCitation":"Zhengchao, R., Huazhong, Z., Shi, H., and Xiaoni, L., 2016, Climatic and topographical factors affecting the vegetative carbon stock of rangelands in arid and semiarid regions of China: Journal of Resources and Ecology, v. 7, no. 6, p. 418-429, https://doi.org/10.5814/j.issn.1674-764x.2016.06.002.","productDescription":"12 p.","startPage":"418","endPage":"429","ipdsId":"IP-057599","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":347721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Gansu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 96.416015625,\n 42.73087427928485\n ],\n [\n 92.98828125,\n 40.613952441166596\n ],\n [\n 92.39501953125,\n 39.13006024213511\n ],\n [\n 101.90917968749999,\n 32.97180377635759\n ],\n [\n 105.5072021484375,\n 32.63012300670739\n ],\n [\n 106.57562255859375,\n 33.51391942394942\n ],\n [\n 108.6273193359375,\n 35.31512519050729\n ],\n [\n 108.70147705078125,\n 36.4433803110554\n ],\n [\n 107.05078125,\n 37.232515211349174\n ],\n [\n 96.416015625,\n 42.73087427928485\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f83a3de4b063d5d309810e","contributors":{"authors":[{"text":"Zhengchao, Ren","contributorId":198994,"corporation":false,"usgs":false,"family":"Zhengchao","given":"Ren","email":"","affiliations":[],"preferred":false,"id":717832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huazhong, Zhu","contributorId":198995,"corporation":false,"usgs":false,"family":"Huazhong","given":"Zhu","email":"","affiliations":[],"preferred":false,"id":717833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":717544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiaoni, Liu","contributorId":198996,"corporation":false,"usgs":false,"family":"Xiaoni","given":"Liu","email":"","affiliations":[],"preferred":false,"id":717834,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179689,"text":"70179689 - 2016 - Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition","interactions":[],"lastModifiedDate":"2018-03-30T12:49:09","indexId":"70179689","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition","docAbstract":"Recent reports suggest that decreases in atmospheric nitrogen (N) deposition throughout Europe and North America may have resulted in declining nitrate export in surface waters in recent decades, yet it is unknown if and how terrestrial N cycling was affected. During a period of decreased atmospheric N deposition, we assessed changes in forest N cycling by evaluating trends in tree-ring δ15N values (between 1980 and 2010; n = 20 trees per watershed), stream nitrate yields (between 2000 and 2011), and retention of atmospherically-deposited N (between 2000 and 2011) in the North and South Tributaries (North and South, respectively) of Buck Creek in the Adirondack Mountains, USA. We hypothesized that tree-ring δ15N values would decline following decreases in atmospheric N deposition (after approximately 1995), and that trends in stream nitrate export and retention of atmospherically deposited N would mirror changes in tree-ring δ15N values. Three of the six sampled tree species and the majority of individual trees showed declining linear trends in δ15N for the period 1980–2010; only two individual trees showed increasing trends in δ15N values. From 1980 to 2010, trees in the watersheds of both tributaries displayed long-term declines in tree-ring δ15N values at the watershed scale (R = −0.35 and p = 0.001 in the North and R = −0.37 and p <0.001 in the South). The decreasing δ15N trend in the North was associated with declining stream nitrate concentrations (−0.009 mg N L−1 yr−1, p = 0.02), but no change in the retention of atmospherically deposited N was observed. In contrast, nitrate yields in the South did not exhibit a trend, and the watershed became less retentive of atmospherically deposited N (−7.3% yr−1, p < 0.001). Our δ15N results indicate a change in terrestrial N availability in both watersheds prior to decreases in atmospheric N deposition, suggesting that decreased atmospheric N deposition was not the sole driver of tree-ring δ15N values at these sites. Other factors, such as decreased sulfur deposition, disturbance, long-term successional trends, and/or increasing atmospheric CO2concentrations, may also influence trends in tree-ring δ15N values. Furthermore, declines in terrestrial N availability inferred from tree-ring δ15N values do not always correspond with decreased stream nitrate export or increased retention of atmospherically deposited N.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2016.08.055","usgsCitation":"Sabo, R.D., Scanga, S.E., Lawrence, G.B., Nelson, D.M., Eshleman, K., Zabala, G.A., Alinea, A.A., and Schirmer, C.D., 2016, Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition: Atmospheric Environment, v. 146, p. 271-279, https://doi.org/10.1016/j.atmosenv.2016.08.055.","productDescription":"9 p.","startPage":"271","endPage":"279","ipdsId":"IP-073355","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":471363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2016.08.055","text":"Publisher Index Page"},{"id":352815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea59e4b0da30c1bfc603","contributors":{"authors":[{"text":"Sabo, Robert D. 0000-0001-8713-7699","orcid":"https://orcid.org/0000-0001-8713-7699","contributorId":178226,"corporation":false,"usgs":false,"family":"Sabo","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanga, Sara E. 0000-0003-4022-4167","orcid":"https://orcid.org/0000-0003-4022-4167","contributorId":178227,"corporation":false,"usgs":false,"family":"Scanga","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, David M.","contributorId":175098,"corporation":false,"usgs":false,"family":"Nelson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eshleman, Keith N.","contributorId":178228,"corporation":false,"usgs":false,"family":"Eshleman","given":"Keith N.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zabala, Gabriel A.","contributorId":178229,"corporation":false,"usgs":false,"family":"Zabala","given":"Gabriel","email":"","middleInitial":"A.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alinea, Alexandria A.","contributorId":178230,"corporation":false,"usgs":false,"family":"Alinea","given":"Alexandria","email":"","middleInitial":"A.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schirmer, Charles D.","contributorId":178231,"corporation":false,"usgs":false,"family":"Schirmer","given":"Charles","email":"","middleInitial":"D.","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":658257,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193055,"text":"70193055 - 2016 - Interactions among American badgers, black-footed ferrets, and prairie dogs in the grasslands of western North America","interactions":[],"lastModifiedDate":"2017-12-01T14:10:18","indexId":"70193055","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Interactions among American badgers, black-footed ferrets, and prairie dogs in the grasslands of western North America","docAbstract":"American badgers (Taxidea taxus) and black-footed ferrets (Mustela nigripes) sometimes occur sympatrically within colonies of prairie dogs (Cynomys spp.) in the grasslands of western North America. From the perspective of a simplified food web, badgers are consumers of ferrets and, to a greater extent, prairie dogs; ferrets are specialized consumers of prairie dogs; and prairie dogs are consumers of vegetation. We review information on the predatory behaviours of badgers, which collectively demonstrate that badgers exhibit complex hunting strategies to improve their probability of capturing prairie dogs and, perhaps, ferrets. We also review studies of interactions between badgers and ferrets, which suggest that there is selective pressure on badgers to compete with ferrets, and pressure on ferrets to compete with and avoid badgers. We then speculate as to how prairie dogs might shape interactions between badgers and ferrets, and how badgers could spread the plague bacterium (Yersinia pestis) among prairie dog colonies. Lastly, we provide recommendations for research on this tractable system of semi-fossorial predators and prey.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Badgers: Systematics, biology, conservation and research techniques","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Alpha Wildlife Publication","usgsCitation":"Eads, D., Biggins, D.E., Grassel, S.M., Livieri, T.M., and Licht, D.S., 2016, Interactions among American badgers, black-footed ferrets, and prairie dogs in the grasslands of western North America, chap. of Badgers: Systematics, biology, conservation and research techniques, p. 198-218.","productDescription":"21 p.","startPage":"198","endPage":"218","ipdsId":"IP-066617","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fce","contributors":{"editors":[{"text":"Proulx, Gilbert","contributorId":201093,"corporation":false,"usgs":false,"family":"Proulx","given":"Gilbert","email":"","affiliations":[],"preferred":false,"id":724309,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Do Linh San, Emmanuel","contributorId":201094,"corporation":false,"usgs":false,"family":"Do Linh San","given":"Emmanuel","email":"","affiliations":[],"preferred":false,"id":724310,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Eads, David A.","contributorId":198976,"corporation":false,"usgs":false,"family":"Eads","given":"David A.","affiliations":[],"preferred":false,"id":717764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":717763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grassel, Shaun M.","contributorId":150648,"corporation":false,"usgs":false,"family":"Grassel","given":"Shaun","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livieri, Travis M.","contributorId":198977,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Licht, Daniel S.","contributorId":198978,"corporation":false,"usgs":false,"family":"Licht","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178904,"text":"70178904 - 2016 - Dissolved oxygen: Chapter 6","interactions":[],"lastModifiedDate":"2017-01-12T14:56:39","indexId":"70178904","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Dissolved oxygen: Chapter 6","docAbstract":"Dissolved oxygen (DO) concentration serves as an important indicator of estuarine habitat condition, because all aquatic macro-organisms require some minimum DO level to survive and prosper. The instantaneous DO concentration, measured at a specific location in the water column, results from a balance between multiple processes that add or remove oxygen (Figure 6.1): primary production produces O2; aerobic respiration in the water column and sediments consumes O2; abiotic or microbially-mediated biogeochemical reactions utilize O2 as an oxidant (e.g., oxidation of ammonium, sulfide, and ferrous iron); O2 exchange occurs across the air:water interface in response to under- or oversaturated DO concentrations in the water column; and water currents and turbulent mixing transport DO into and out of zones in the water column. If the oxygen loss rate exceeds the oxygen production or input rate, DO concentration decreases. When DO losses exceed production or input over a prolonged enough period of time, hypoxia ((<2-3 mg/L) or anoxia can develop. Persistent hypoxia or anoxia causes stress or death in aquatic organism populations, or for organisms that can escape a hypoxic or anoxic area, the loss of habitat. In addition, sulfide, which is toxic to aquatic organisms and causes odor problems, escapes from sediments under low oxygen conditions. Low dissolved oxygen is a common aquatic ecosystem response to elevated organic
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":" Lower South Bay nutrient synthesis","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"San Francisco Estuary Institute","publisherLocation":"Richmond, CA","usgsCitation":"Senn, D., Downing-Kunz, M.A., and Novick, E., 2016, Dissolved oxygen: Chapter 6, 23 p.","productDescription":"23 p.","startPage":"94","endPage":"116","ipdsId":"IP-053632","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331883,"type":{"id":15,"text":"Index Page"},"url":"https://sfbaynutrients.sfei.org/books/reports-and-work-products"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48de4b04df303d95816","contributors":{"authors":[{"text":"Senn, David","contributorId":177368,"corporation":false,"usgs":false,"family":"Senn","given":"David","affiliations":[],"preferred":false,"id":655464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Novick, Emily","contributorId":177369,"corporation":false,"usgs":false,"family":"Novick","given":"Emily","email":"","affiliations":[],"preferred":false,"id":655465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178907,"text":"70178907 - 2016 - An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California","interactions":[],"lastModifiedDate":"2017-11-10T18:31:30","indexId":"70178907","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California","docAbstract":"No abstract available
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applied geology in California ","language":"English","publisher":"Association of Environmental and Engineering Geologists","collaboration":"U.S. Environmental Protection Agency","usgsCitation":"Jacobs, J.A., Testa, S.M., Alpers, C.N., and Nordstrom, D.K., 2016, An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California, chap. of Applied geology in California , p. 427-446.","productDescription":"20 p. ","startPage":"427","endPage":"446","ipdsId":"IP-068662","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":336281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331889,"type":{"id":15,"text":"Index Page"},"url":"https://www.appliedgeologybook.com/"}],"country":"United States","state":"California","county":"Shasta ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.92602539062501,\n 40.14109012528468\n ],\n [\n -121.322021484375,\n 40.14109012528468\n ],\n [\n -121.322021484375,\n 40.94671366508002\n ],\n [\n -122.92602539062501,\n 40.94671366508002\n ],\n [\n -122.92602539062501,\n 40.14109012528468\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c2e4b01ccd54fddfc0","contributors":{"authors":[{"text":"Jacobs, James A","contributorId":177379,"corporation":false,"usgs":false,"family":"Jacobs","given":"James","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":655473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Testa, Stephen M.","contributorId":177380,"corporation":false,"usgs":false,"family":"Testa","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":655475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192861,"text":"70192861 - 2016 - Field and laboratory determination of water-surface elevation and velocity using noncontact measurements","interactions":[],"lastModifiedDate":"2018-02-15T10:56:55","indexId":"70192861","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Field and laboratory determination of water-surface elevation and velocity using noncontact measurements","docAbstract":"Noncontact methods for measuring water-surface elevation and velocity in laboratory flumes and rivers are presented with examples. Water-surface elevations are measured using an array of acoustic transducers in the laboratory and using laser scanning in field situations. Water-surface velocities are based on using particle image velocimetry or other machine vision techniques on infrared video of the water surface. Using spatial and temporal averaging, results from these methods provide information \nthat can be used to develop estimates of discharge for flows over known bathymetry. Making such estimates requires relating water-surface velocities to vertically averaged velocities; the methods here use standard relations. To examine where these relations break down, laboratory data for flows over simple bumps of three amplitudes are evaluated. As anticipated, discharges determined from surface information can have large errors where nonhydrostatic effects are large. In addition to investigating and characterizing this potential error in estimating discharge, a simple method for correction of the issue is presented. With a simple correction based on bed gradient along the flow direction, remotely sensed estimates of discharge appear to be viable.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research","conferenceDate":"August 28-31, 2016","conferenceLocation":"Colombo, Sri Lanka","language":"English","publisher":"International Association of Hydraulic Research","usgsCitation":"Nelson, J.M., Kinzel, P.J., Schmeeckle, M.W., McDonald, R.R., and Minear, J., 2016, Field and laboratory determination of water-surface elevation and velocity using noncontact measurements, in Proceedings of the 20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research, Colombo, Sri Lanka, August 28-31, 2016.","ipdsId":"IP-073816","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":351651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5e5","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmeeckle, Mark Walter","contributorId":195264,"corporation":false,"usgs":false,"family":"Schmeeckle","given":"Mark","email":"","middleInitial":"Walter","affiliations":[],"preferred":false,"id":717237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":717238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minear, Justin T.","contributorId":198828,"corporation":false,"usgs":false,"family":"Minear","given":"Justin T.","affiliations":[],"preferred":false,"id":717239,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176186,"text":"70176186 - 2016 - Aquatic carbon cycling in the conterminous United States and implications for terrestrial carbon accounting","interactions":[],"lastModifiedDate":"2016-11-17T15:34:53","indexId":"70176186","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic carbon cycling in the conterminous United States and implications for terrestrial carbon accounting","docAbstract":"Inland water ecosystems dynamically process, transport, and sequester carbon. However, the transport of carbon through aquatic environments has not been quantitatively integrated in the context of terrestrial ecosystems. Here, we present the first integrated assessment, to our knowledge, of freshwater carbon fluxes for the conterminous United States, where 106 (range: 71–149) teragrams of carbon per year (TgC⋅y−1) is exported downstream or emitted to the atmosphere and sedimentation stores 21 (range: 9–65) TgC⋅y−1 in lakes and reservoirs. We show that there is significant regional variation in aquatic carbon flux, but verify that emission across stream and river surfaces represents the dominant flux at 69 (range: 36–110) TgC⋅y−1 or 65% of the total aquatic carbon flux for the conterminous United States. Comparing our results with the output of a suite of terrestrial biosphere models (TBMs), we suggest that within the current modeling framework, calculations of net ecosystem production (NEP) defined as terrestrial only may be overestimated by as much as 27%. However, the internal production and mineralization of carbon in freshwaters remain to be quantified and would reduce the effect of including aquatic carbon fluxes within calculations of terrestrial NEP. Reconciliation of carbon mass–flux interactions between terrestrial and aquatic carbon sources and sinks will require significant additional research and modeling capacity.
","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1512651112","usgsCitation":"Butman, D., Stackpoole, S.M., Stets, E., McDonald, C.P., Clow, D.W., and Striegl, R.G., 2016, Aquatic carbon cycling in the conterminous United States and implications for terrestrial carbon accounting: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 1, p. 58-63, https://doi.org/10.1073/pnas.1512651112.","productDescription":"6 p.","startPage":"58","endPage":"63","ipdsId":"IP-066687","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":482078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1512651112","text":"Publisher Index Page"},{"id":331117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-22","publicationStatus":"PW","scienceBaseUri":"582ecfefe4b04d580bd43532","contributors":{"authors":[{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":647657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stets, Edward G. estets@usgs.gov","contributorId":174182,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":647659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald, Cory P. 0000-0002-1208-8471 cmcdonald@usgs.gov","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":4238,"corporation":false,"usgs":true,"family":"McDonald","given":"Cory","email":"cmcdonald@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":647662,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187264,"text":"70187264 - 2016 - Predicting invasiveness of species in trade: Climate match, trophic guild and fecundity influence establishment and impact of non-native freshwater fishes","interactions":[],"lastModifiedDate":"2017-04-27T10:40:35","indexId":"70187264","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Predicting invasiveness of species in trade: Climate match, trophic guild and fecundity influence establishment and impact of non-native freshwater fishes","docAbstract":"Aim
Impacts of non-native species have motivated development of risk assessment tools for identifying introduced species likely to become invasive. Here, we develop trait-based models for the establishment and impact stages of freshwater fish invasion, and use them to screen non-native species common in international trade. We also determine which species in the aquarium, biological supply, live bait, live food and water garden trades are likely to become invasive. Results are compared to historical patterns of non-native fish establishment to assess the relative importance over time of pathways in causing invasions.
Location
Laurentian Great Lakes region.
Methods
Trait-based classification trees for the establishment and impact stages of invasion were developed from data on freshwater fish species that established or failed to establish in the Great Lakes. Fishes in trade were determined from import data from Canadian and United States regulatory agencies, assigned to specific trades and screened through the developed models.
Results
Climate match between a species’ native range and the Great Lakes region predicted establishment success with 75–81% accuracy. Trophic guild and fecundity predicted potential harmful impacts of established non-native fishes with 75–83% accuracy. Screening outcomes suggest the water garden trade poses the greatest risk of introducing new invasive species, followed by the live food and aquarium trades. Analysis of historical patterns of introduction pathways demonstrates the increasing importance of these trades relative to other pathways. Comparisons among trades reveal that model predictions parallel historical patterns; all fishes previously introduced from the water garden trade have established. The live bait, biological supply, aquarium and live food trades have also contributed established non-native fishes.
Main conclusions
Our models predict invasion risk of potential fish invaders to the Great Lakes region and could help managers prioritize efforts among species and pathways to minimize such risk. Similar approaches could be applied to other taxonomic groups and geographic regions.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12391","usgsCitation":"Howeth, J.G., Gantz, C.A., Angermeier, P.L., Frimpong, E.A., Hoff, M.H., Keller, R.P., Mandrak, N.E., Marchetti, M.P., Olden, J., Romagosa, C., and Lodge, D.M., 2016, Predicting invasiveness of species in trade: Climate match, trophic guild and fecundity influence establishment and impact of non-native freshwater fishes: Diversity and Distributions, v. 22, no. 2, p. 148-160, https://doi.org/10.1111/ddi.12391.","productDescription":"13 p.","startPage":"148","endPage":"160","ipdsId":"IP-060340","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12391","text":"Publisher Index Page"},{"id":340492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-02","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f727","contributors":{"authors":[{"text":"Howeth, Jennifer G.","contributorId":63319,"corporation":false,"usgs":true,"family":"Howeth","given":"Jennifer","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":693133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gantz, Crysta A.","contributorId":105647,"corporation":false,"usgs":true,"family":"Gantz","given":"Crysta","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frimpong, Emmanuel A.","contributorId":79372,"corporation":false,"usgs":true,"family":"Frimpong","given":"Emmanuel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoff, Michael H.","contributorId":111519,"corporation":false,"usgs":true,"family":"Hoff","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":693136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keller, Reuben P.","contributorId":98637,"corporation":false,"usgs":true,"family":"Keller","given":"Reuben","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mandrak, Nicholas E.","contributorId":177869,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marchetti, Michael P.","contributorId":191469,"corporation":false,"usgs":false,"family":"Marchetti","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693139,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":693140,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Romagosa, Christina M.","contributorId":39661,"corporation":false,"usgs":true,"family":"Romagosa","given":"Christina M.","affiliations":[],"preferred":false,"id":693141,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lodge, David M.","contributorId":76622,"corporation":false,"usgs":false,"family":"Lodge","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":693142,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70187254,"text":"70187254 - 2016 - Effect of morphological fin curl on the swimming performance and station-holding ability of juvenile shovelnose sturgeon","interactions":[],"lastModifiedDate":"2017-04-27T11:23:47","indexId":"70187254","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effect of morphological fin curl on the swimming performance and station-holding ability of juvenile shovelnose sturgeon","docAbstract":"We assessed the effect of fin-curl on the swimming and station-holding ability of juvenile shovelnose sturgeon Scaphirhynchus platorynchus (mean fork length = 17 cm; mean weight = 16 g; n = 21) using a critical swimming speed test performed in a small swim chamber (90 L) at 20°C. We quantified fin-curl severity using the pectoral fin index. Results showed a positive relationship between pectoral fin index and critical swimming speed indicative of reduced swimming performance displayed by fish afflicted with a pectoral fin index < 8%. Fin-curl severity, however, did not affect the station-holding ability of individual fish. Rather, fish affected with severe fin-curl were likely unable to use their pectoral fins to position their body adequately in the water column, which led to the early onset of fatigue. Results generated from this study should serve as an important consideration for future stocking practices.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/092015-JFWM-087","usgsCitation":"Deslauriers, D., Johnston, R., and Chipps, S.R., 2016, Effect of morphological fin curl on the swimming performance and station-holding ability of juvenile shovelnose sturgeon: Journal of Fish and Wildlife Management, v. 7, no. 1, p. 198-204, https://doi.org/10.3996/092015-JFWM-087.","productDescription":"7 p.","startPage":"198","endPage":"204","ipdsId":"IP-064726","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488616,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092015-jfwm-087","text":"Publisher Index Page"},{"id":340501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-01","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f72d","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":693112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Ryan","contributorId":191482,"corporation":false,"usgs":false,"family":"Johnston","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":693189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693190,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187253,"text":"70187253 - 2016 - Lethal thermal maxima for age-0 pallid and shovelnose sturgeon: Implications for shallow water habitat restoration","interactions":[],"lastModifiedDate":"2017-04-27T11:08:53","indexId":"70187253","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","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":"Lethal thermal maxima for age-0 pallid and shovelnose sturgeon: Implications for shallow water habitat restoration","docAbstract":"We evaluated temperature tolerance in age-0 pallid and shovelnose sturgeon (Scaphirhynchus albus and Scaphirhynchus platorynchus), two species that occur sympatrically in the Missouri and Mississippi Rivers. Fish (0.04–18 g) were acclimated to water temperatures of 13, 18 or 24 °C to quantify temperatures associated with lethal thermal maxima (LTM). The results show that no difference in thermal tolerance existed between the two sturgeon species, but that LTM was significantly related to body mass and acclimation temperature. Multiple linear regression analysis was used to estimate LTM, and outputs from the model were compared with water temperatures measured in the shallow water habitat (SWH) of the Missouri River. Observed SWH temperatures were not found to yield LTM conditions. The model developed here is to serve as a general guideline in the development of future SWH.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3022","usgsCitation":"Deslauriers, D., Heironimus, L.B., and Chipps, S.R., 2016, Lethal thermal maxima for age-0 pallid and shovelnose sturgeon: Implications for shallow water habitat restoration: River Research and Applications, v. 32, no. 9, p. 1872-1878, https://doi.org/10.1002/rra.3022.","productDescription":"7 p.","startPage":"1872","endPage":"1878","ipdsId":"IP-066780","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi river, Missouri river","volume":"32","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-13","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f72f","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":693111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heironimus, Laura B.","contributorId":187587,"corporation":false,"usgs":false,"family":"Heironimus","given":"Laura","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":693177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186896,"text":"70186896 - 2016 - Feeding ecology of non-native Siberian prawns, Palaemon modestus (Heller, 1862) (Decapoda, Palaemonidae), in the lower Snake River, Washington, U.S.A.","interactions":[],"lastModifiedDate":"2017-04-13T14:56:16","indexId":"70186896","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1348,"text":"Crustaceana","active":true,"publicationSubtype":{"id":10}},"title":"Feeding ecology of non-native Siberian prawns, Palaemon modestus (Heller, 1862) (Decapoda, Palaemonidae), in the lower Snake River, Washington, U.S.A.","docAbstract":"We used both stomach content and stable isotope analyses to describe the feeding ecology of Siberian prawns Palaemon modestus (Heller, 1862), a non-native caridean shrimp that is a relatively recent invader of the lower Snake River. Based on identifiable prey in stomachs, the opossum shrimp Neomysis mercedis Holmes, 1896 comprised up to 34-55% (by weight) of diets of juvenile to adult P. modestus, which showed little seasonal variation. Other predominant items/taxa consumed included detritus, amphipods, dipteran larvae, and oligochaetes. Stable isotope analysis supported diet results and also suggested that much of the food consumed by P. modestus that was not identifiable came from benthic sources — predominantly invertebrates of lower trophic levels and detritus. Palaemon modestus consumption of N. mercedis may pose a competitive threat to juvenile salmon and resident fishes which also rely heavily on that prey.
","language":"English","publisher":"BRILL","doi":"10.1163/15685403-00003553","usgsCitation":"Tiffan, K.F., and Hurst, W., 2016, Feeding ecology of non-native Siberian prawns, Palaemon modestus (Heller, 1862) (Decapoda, Palaemonidae), in the lower Snake River, Washington, U.S.A.: Crustaceana, v. 89, no. 6-7, p. 721-736, https://doi.org/10.1163/15685403-00003553.","productDescription":"16 p.","startPage":"721","endPage":"736","ipdsId":"IP-073452","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":339703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Snake River","volume":"89","issue":"6-7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e60e4b06911a29fa854","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":690914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurst, William 0000-0001-5758-8210 whurst@usgs.gov","orcid":"https://orcid.org/0000-0001-5758-8210","contributorId":139838,"corporation":false,"usgs":true,"family":"Hurst","given":"William","email":"whurst@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":690915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187721,"text":"70187721 - 2016 - An evaluation of behavior inferences from Bayesian state-space models: A case study with the Pacific walrus","interactions":[],"lastModifiedDate":"2018-06-16T17:49:28","indexId":"70187721","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of behavior inferences from Bayesian state-space models: A case study with the Pacific walrus","docAbstract":"State-space models offer researchers an objective approach to modeling complex animal location data sets, and state-space model behavior classifications are often assumed to have a link to animal behavior. In this study, we evaluated the behavioral classification accuracy of a Bayesian state-space model in Pacific walruses using Argos satellite tags with sensors to detect animal behavior in real time. We fit a two-state discrete-time continuous-space Bayesian state-space model to data from 306 Pacific walruses tagged in the Chukchi Sea. We matched predicted locations and behaviors from the state-space model (resident, transient behavior) to true animal behavior (foraging, swimming, hauled out) and evaluated classification accuracy with kappa statistics (κ) and root mean square error (RMSE). In addition, we compared biased random bridge utilization distributions generated with resident behavior locations to true foraging behavior locations to evaluate differences in space use patterns. Results indicated that the two-state model fairly classified true animal behavior (0.06 ≤ κ ≤ 0.26, 0.49 ≤ RMSE ≤ 0.59). Kernel overlap metrics indicated utilization distributions generated with resident behavior locations were generally smaller than utilization distributions generated with true foraging behavior locations. Consequently, we encourage researchers to carefully examine parameters and priors associated with behaviors in state-space models, and reconcile these parameters with the study species and its expected behaviors.
","language":"English","publisher":"Wiley","doi":"10.1111/mms.12332","usgsCitation":"Beatty, W.S., Jay, C.V., and Fischbach, A.S., 2016, An evaluation of behavior inferences from Bayesian state-space models: A case study with the Pacific walrus: Marine Mammal Science, v. 32, no. 4, p. 1299-1318, https://doi.org/10.1111/mms.12332.","productDescription":"20 p.","startPage":"1299","endPage":"1318","ipdsId":"IP-069772","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438647,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77M060G","text":"USGS data release","linkHelpText":"Walrus Bayesian State-space Model Output from the Bering Sea and Chukchi Sea, 2008-2012"},{"id":341325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-11","publicationStatus":"PW","scienceBaseUri":"591abe36e4b0a7fdb43c8bf5","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":695273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":695274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":695275,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188797,"text":"70188797 - 2016 - Terrestrial cosmogenic surface exposure dating of glacial and associated landforms in the Ruby Mountains-East Humboldt Range of central Nevada and along the northeastern flank of the Sierra Nevada","interactions":[],"lastModifiedDate":"2018-10-24T16:46:43","indexId":"70188797","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial cosmogenic surface exposure dating of glacial and associated landforms in the Ruby Mountains-East Humboldt Range of central Nevada and along the northeastern flank of the Sierra Nevada","docAbstract":"Deposits near Lamoille in the Ruby Mountains-East Humboldt Range of central Nevada and at Woodfords on the eastern edge of the Sierra Nevada each record two distinct glacial advances. We compare independent assessments of terrestrial cosmogenic nuclide (TCN) surface exposure ages for glacial deposits that we have determined to those obtained by others at the two sites. At each site, TCN ages of boulders on moraines of the younger advance are between 15 and 30 ka and may be associated with marine oxygen isotope stage (MIS) 2. At Woodfords, TCN ages of boulders on the moraine of the older advance are younger than ~ 60 ka and possibly formed during MIS 4, whereas boulders on the correlative outwash surface show ages approaching 140 ka (~ MIS 6). The TCN ages of boulders on older glacial moraine at Woodfords thus appear to severely underestimate the true age of the glacial advance responsible for the deposit. The same is possibly true at Lamoille where clasts sampled from the moraine of the oldest advance have ages ranging between 20 and 40 ka with a single outlier age of ~ 80 ka. The underestimations are attributed to the degradation and denudation of older moraine crests. Noting that boulder ages on the older advances at each site overlap significantly with MIS 2. We speculate that erosion of the older moraines has been episodic, with a pulse of denudation accompanying the inception of MIS 2 glaciation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2016.04.027","usgsCitation":"Wesnousky, S.G., Briggs, R.W., Caffee, M.W., Ryerson, R.J., Finkel, R.C., and Owen, L., 2016, Terrestrial cosmogenic surface exposure dating of glacial and associated landforms in the Ruby Mountains-East Humboldt Range of central Nevada and along the northeastern flank of the Sierra Nevada: Geomorphology, v. 268, p. 72-81, https://doi.org/10.1016/j.geomorph.2016.04.027.","productDescription":"10 p.","startPage":"72","endPage":"81","ipdsId":"IP-074553","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":488697,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1438659","text":"External Repository"},{"id":342840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Sierra Nevada Mountains; Ruby Mountains-East Humboldt Range","volume":"268","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"594f7a1ee4b062508e3b1b8b","contributors":{"authors":[{"text":"Wesnousky, Steven G.","contributorId":193416,"corporation":false,"usgs":false,"family":"Wesnousky","given":"Steven","email":"","middleInitial":"G.","affiliations":[{"id":33746,"text":"Center for Neotectonic Studies, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":700405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caffee, Marc W. 0000-0002-6846-8967","orcid":"https://orcid.org/0000-0002-6846-8967","contributorId":193417,"corporation":false,"usgs":false,"family":"Caffee","given":"Marc","email":"","middleInitial":"W.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":700407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryerson, Rick J.","contributorId":193418,"corporation":false,"usgs":false,"family":"Ryerson","given":"Rick","email":"","middleInitial":"J.","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":700408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finkel, Robert C.","contributorId":83426,"corporation":false,"usgs":false,"family":"Finkel","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":700409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Owen, Lewis A.","contributorId":138784,"corporation":false,"usgs":false,"family":"Owen","given":"Lewis A.","affiliations":[{"id":6694,"text":"Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina","active":true,"usgs":false}],"preferred":false,"id":700410,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188885,"text":"70188885 - 2016 - Relationship between porphyry systems, crustal preservation levels, and amount of exploration in magmatic belts of the Central Tethys Region","interactions":[],"lastModifiedDate":"2020-10-05T18:14:09.239506","indexId":"70188885","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Relationship between porphyry systems, crustal preservation levels, and amount of exploration in magmatic belts of the Central Tethys Region","docAbstract":"Tectonic, geologic, geochemical, geochronologic, and ore deposit data from the U.S. Geological Survey-led assessment of 26 porphyry belts identified in the central Tethys region of Turkey, the Caucasus, Iran, western Pakistan, and southern Afghanistan relate porphyry mineralization to the tectonomagmatic evolution of the region and associated subduction and postsubduction processes. However, uplift, erosion, subsidence, and burial of porphyry systems, as well as post-mineral deformation, also played an essential role in shaping the observed metallogenic patterns.
We present a methodology that systematically evaluates the relationship between the level of erosion, the extent of cover, and the number of known porphyry occurrences in porphyry belts. Porphyry belts that exhibit coeval volcanic-to-plutonic rock aerial ratios between 33 and 66 and limited cover contain numerous identified porphyry occurrences. These belts are relatively well explored because porphyry systems are not eroded or buried. Porphyry belts with volcanic-to-plutonic ratios that are greater than 66, but are modestly covered, contain fewer identified porphyry occurrences. Current exploration in these belts is increasingly identifying porphyry systems under associated epithermal deposits. Porphyry belts that show volcanic-to-plutonic ratios that are greater than 66, but are extensively covered, contain few identified porphyry occurrences. These belts have not been extensively explored but have potential for discoveries under cover. Deformed porphyry belts exhibit variable volcanic-to-plutonic ratios that are typically below 33, but can be as high as 60. Commonly, these deformed belts are extensively covered. Exploration efforts for porphyry deposits in these variably exhumed belts have been limited.
Exploration has resulted in the identification of 62.7 million tonnes (Mt) of copper, 2.0 Mt of molybdenum, and 4.200 t of gold in the 45 porphyry deposits contained in the 26 porphyry belts of the region: (1) 54.7 Mt of copper (87% of total), 1.74 Mt of molybdenum (87%), and 3,370 t of gold (80%) occur in the 25 deposits of the four porphyry belts that exhibit coeval volcanic-to-plutonic ratios between 33 and 66 and limited cover; (2) 5.44 Mt of copper (9%), 0.148 Mt of molybdenum (7%), and 581 t of gold (14%) are contained in the 11 deposits of the 11 porphyry belts that display volcanic-to-plutonic ratios greater than 66 and modest cover; (3) 2.08 Mt of copper (3%), 0.110 Mt of molybdenum (6%), and 244 t of gold (6%) occur in the seven deposits of the three porphyry belts that have volcanic-to-plutonic ratios that are greater than 66 and extensive cover; and (4) 0.388 Mt of copper (1%), 0.006 Mt of molybdenum (<<1%), and 6 t of gold (<<1%) are contained in the two deposits of the eight deformed and covered porphyry belts with variable but typically low volcanic-to-plutonic ratios.
The central Tethys region is receiving considerable exploration attention. It hosts the Kadjaran (4.6 Mt Cu), Sungun (5.1 Mt Cu), Sar Cheshmeh (8.9 Mt Cu), and Reko Diq (23.0 Mt Cu) world-class porphyry deposits. Continued exploration for porphyry deposits in the region will likely lead to new discoveries in known porphyry belts, particularly under cover and below high- and intermediate-sulfidation epithermal systems.
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applied geology in California","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Association of Engineering Geologists","usgsCitation":"Donnellan, A., Arrowsmith, R., and Langenheim, V., 2016, Select airborne techniques for mapping and problem solving: Chapter 30, chap. of Applied geology in California, p. 541-566.","productDescription":"26 p.","startPage":"541","endPage":"566","ipdsId":"IP-062113","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342963,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.appliedgeologybook.com/"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eaae4b062508e3c7a85","contributors":{"authors":[{"text":"Donnellan, Andrea","contributorId":176745,"corporation":false,"usgs":false,"family":"Donnellan","given":"Andrea","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":700787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arrowsmith, Ramon","contributorId":181555,"corporation":false,"usgs":false,"family":"Arrowsmith","given":"Ramon","email":"","affiliations":[],"preferred":false,"id":700788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700786,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70162277,"text":"70162277 - 2016 - Urban and suburban areas","interactions":[],"lastModifiedDate":"2018-03-19T10:39:15","indexId":"70162277","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Urban and suburban areas","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Habitat management guidelines for amphibians and reptiles of the Southwestern United States (PARC Technical Publication HMG-5)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Partners in Amphibian and Reptile Conservation (PARC)","usgsCitation":"Fisher, R.N., 2016, Urban and suburban areas, chap. of Habitat management guidelines for amphibians and reptiles of the Southwestern United States (PARC Technical Publication HMG-5).","ipdsId":"IP-071123","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340137,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://parcplace.org/habitat/habitat-management-guidelines/"}],"country":"United States","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0e9fe4b006455f2d61ce","contributors":{"authors":[{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":589082,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70162226,"text":"70162226 - 2016 - Earthquake probabilities for the Wasatch front region in Utah, Idaho, and Wyoming","interactions":[],"lastModifiedDate":"2019-08-06T10:00:31","indexId":"70162226","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Earthquake probabilities for the Wasatch front region in Utah, Idaho, and Wyoming","docAbstract":"In a letter to The Salt Lake Daily Tribune in September 1883, U.S. Geological Survey (USGS) geologist G.K. Gilbert warned local residents about the implications of observable fault scarps along the western base of the Wasatch Range. The scarps were evidence that large surface-rupturing earthquakes had occurred in the past and more would likely occur in the future. The main actor in this drama is the 350-km-long Wasatch fault zone (WFZ), which extends from central Utah to southernmost Idaho. The modern Wasatch Front urban corridor, which follows the valleys on the WFZ’s hanging wall between Brigham City and Nephi, is home to nearly 80% of Utah’s population of 3 million. Adding to this circumstance of “lots of eggs in one basket,” more than 75% of Utah’s economy is concentrated along the Wasatch Front in Utah’s four largest counties, literally astride the five central and most active segments of the WFZ.
","language":"English","publisher":"Utah Geological Survey ","usgsCitation":"Wong, I.G., Lund, W., DuRoss, C., Thomas, P., Arabasz, W., Crone, A.J., Hylland, M., Luco, N., Olig, S.S., Pechmann, J.C., Personius, S., Petersen, M.D., Schwartz, D.P., Smith, R.B., and Rowman, S., 2016, Earthquake probabilities for the Wasatch front region in Utah, Idaho, and Wyoming, Report: xiv., 164 p.; Appendixes A-E.","productDescription":"Report: xiv., 164 p.; Appendixes A-E","ipdsId":"IP-072108","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":336342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":336340,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://quake.utah.edu/research/earthquake-probabilities-for-the-wasatch-front-region-in-utah-idaho-and-wyoming"}],"country":"United States","state":"Utah, Idaho, 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Record","active":true,"publicationSubtype":{"id":10}},"title":"Upper bound of pier scour in laboratory and field data","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the South Carolina Department of Transportation, conducted several field investigations of pier scour in South Carolina and used the data to develop envelope curves defining the upper bound of pier scour. To expand on this previous work, an additional cooperative investigation was initiated to combine the South Carolina data with pier scour data from other sources and to evaluate upper-bound relations with this larger data set. To facilitate this analysis, 569 laboratory and 1,858 field measurements of pier scour were compiled to form the 2014 USGS Pier Scour Database. This extensive database was used to develop an envelope curve for the potential maximum pier scour depth encompassing the laboratory and field data. The envelope curve provides a simple but useful tool for assessing the potential maximum pier scour depth for effective pier widths of about 30 ft or less.
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Carolina\",\"nation\":\"USA \"}}]}","volume":"2588","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-01","publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fca","contributors":{"authors":[{"text":"Benedict, Stephen benedict@usgs.gov","contributorId":127829,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen","email":"benedict@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":138690,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral W.","email":"acaldwel@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":717785,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192836,"text":"70192836 - 2016 - Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.","interactions":[],"lastModifiedDate":"2017-10-30T16:11:14","indexId":"70192836","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.","docAbstract":"To provide better insight into seismic ground motion in the Port‐au‐Prince metropolitan area, we investigate site effects at 12 seismological stations by analyzing 78 earthquakes with magnitude smaller than 5 that occurred between 2010 and 2013. Horizontal‐to‐vertical spectral ratio on earthquake recordings and a standard spectral ratio were applied to the seismic data. We also propose a simplified lithostratigraphic map and use available geotechnical and geophysical data to construct representative soil columns in the vicinity of each station that allow us to compute numerical transfer functions using 1D simulations. At most of the studied sites, spectral ratios are characterized by weak‐motion amplification at frequencies above 5 Hz, in good agreement with the numerical transfer functions. A mismatch between the observed amplifications and simulated response at lower frequencies shows that the considered soil columns could be missing a deeper velocity contrast. Furthermore, strong amplification between 2 and 10 Hz linked to local topographic features is found at one station located in the south of the city, and substantial amplification below 5 Hz is detected near the coastline, which we attribute to deep and soft sediments as well as the presence of surface waves. We conclude that for most investigated sites in Port‐au‐Prince, seismic amplifications due to site effects are highly variable but seem not to be important at high frequencies. At some specific locations, however, they could strongly enhance the low‐frequency content of the seismic ground shaking. Although our analysis does not consider nonlinear effects, we thus conclude that, apart from sites close to the coast, sediment‐induced amplification probably had only a minor impact on the level of strong ground motion, and was not the main reason for the high level of damage in Port‐au‐Prince.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150238","usgsCitation":"St. Fleur, S., Bertrand, E., Courboulex, F., Mercier de Lepinay, B., Deschamps, A., Hough, S.E., Cultrera, G., Boisson, D., and Prepetit, C., 2016, Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.: Bulletin of the Seismological Society of America, v. 106, no. 3, p. 1298-1315, https://doi.org/10.1785/0120150238.","productDescription":"18 p.","startPage":"1298","endPage":"1315","ipdsId":"IP-073232","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Haiti","city":"Port-au-Prince","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73,\n 18.127580917219024\n ],\n [\n -72,\n 18.127580917219024\n ],\n [\n -72,\n 18.80751806940863\n ],\n [\n -73,\n 18.80751806940863\n ],\n [\n -73,\n 18.127580917219024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"59f83a3de4b063d5d3098111","contributors":{"authors":[{"text":"St. Fleur, Sadrac","contributorId":198793,"corporation":false,"usgs":false,"family":"St. Fleur","given":"Sadrac","email":"","affiliations":[],"preferred":false,"id":717135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertrand, Etienne","contributorId":198794,"corporation":false,"usgs":false,"family":"Bertrand","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":717136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courboulex, Francoise","contributorId":198795,"corporation":false,"usgs":false,"family":"Courboulex","given":"Francoise","email":"","affiliations":[],"preferred":false,"id":717137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mercier de Lepinay, Bernard","contributorId":10322,"corporation":false,"usgs":true,"family":"Mercier de Lepinay","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":717138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deschamps, Anne","contributorId":24269,"corporation":false,"usgs":true,"family":"Deschamps","given":"Anne","email":"","affiliations":[],"preferred":false,"id":717139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717134,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cultrera, Giovanna","contributorId":198798,"corporation":false,"usgs":false,"family":"Cultrera","given":"Giovanna","email":"","affiliations":[],"preferred":false,"id":717140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boisson, Dominique","contributorId":198799,"corporation":false,"usgs":false,"family":"Boisson","given":"Dominique","email":"","affiliations":[],"preferred":false,"id":717141,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prepetit, Claude","contributorId":198800,"corporation":false,"usgs":false,"family":"Prepetit","given":"Claude","email":"","affiliations":[],"preferred":false,"id":717142,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70160493,"text":"70160493 - 2016 - Integrated groundwater data management","interactions":[],"lastModifiedDate":"2017-04-17T14:45:30","indexId":"70160493","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Integrated groundwater data management","docAbstract":"The goal of a data manager is to ensure that data is safely stored, adequately described, discoverable and easily accessible. However, to keep pace with the evolution of groundwater studies in the last decade, the associated data and data management requirements have changed significantly. In particular, there is a growing recognition that management questions cannot be adequately answered by single discipline studies. This has led a push towards the paradigm of integrated modeling, where diverse parts of the hydrological cycle and its human connections are included. This chapter describes groundwater data management practices, and reviews the current state of the art with enterprise groundwater database management systems. It also includes discussion on commonly used data management models, detailing typical data management lifecycles. We discuss the growing use of web services and open standards such as GWML and WaterML2.0 to exchange groundwater information and knowledge, and the need for national data networks. We also discuss cross-jurisdictional interoperability issues, based on our experience sharing groundwater data across the US/Canadian border. Lastly, we present some future trends relating to groundwater data management.
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