Yersinia pestis was introduced to North America around 1900 and leads to nearly 100% mortality in prairie dog (Cynomys spp.) colonies during epizootic events, which suggests this pathogen may exert a strong selective force. We characterized genetic diversity at an MHC class II locus (DRB1) in Gunnison's prairie dog (C. gunnisoni) and quantified population genetic structure at the DRB1versus 12 microsatellite loci in three large Arizona colonies. Two colonies, Seligman (SE) and Espee Ranch (ES), have experienced multiple plague-related die-offs in recent years, whereas plague has never been documented at Aubrey Valley (AV). We found fairly low allelic diversity at the DRB1 locus, with one allele (DRB1*01) at high frequency (0.67–0.87) in all colonies. Two otherDRB1 alleles appear to be trans-species polymorphisms shared with the black-tailed prairie dog (C. ludovicianus), indicating that these alleles have been maintained across evolutionary time frames. Estimates of genetic differentiation were generally lower at the MHC locus (FST = 0.033) than at microsatellite markers (FST = 0.098). The reduced differentiation at DRB1 may indicate that selection has been important for shaping variation at MHC loci, regardless of the presence or absence of plague in recent decades. However, genetic drift has probably also influenced theDRB1 locus because its level of differentiation was not different from that of microsatellites in anFST outlier analysis. We then compared specific MHC alleles to plague survivorship in 60C. gunnisoni that had been experimentally infected with Y. pestis. We found that survival was greater in individuals that carried at least one copy of the most common allele (DRB1*01) compared to those that did not (60% vs. 20%). Although the sample sizes of these two groups were unbalanced, this result suggests the possibility that this MHC class II locus, or a nearby linked gene, could play a role in plague survival.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2077","usgsCitation":"Cobble, K.R., Califf, K.J., Stone, N.E., Shuey, M., Birdsell, D., Colman, R.E., Schupp, J., Aziz, M., Van Andel, R., Rocke, T.E., Wagner, D.M., and Busch, J.D., 2016, Genetic variation at the MHC DRB1 locus is similar across Gunnison's prairie dog (Cynomys gunnisoni) colonies regardless of plague history: Ecology and Evolution, v. 6, no. 8, p. 2624-2651, https://doi.org/10.1002/ece3.2077.","productDescription":"28 p.","startPage":"2624","endPage":"2651","ipdsId":"IP-073056","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470611,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2077","text":"Publisher Index Page"},{"id":328618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-16","publicationStatus":"PW","scienceBaseUri":"57d92339e4b090824ffa1a8b","contributors":{"authors":[{"text":"Cobble, Kacy R.","contributorId":38438,"corporation":false,"usgs":true,"family":"Cobble","given":"Kacy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Califf, Katy J.","contributorId":174614,"corporation":false,"usgs":false,"family":"Califf","given":"Katy","email":"","middleInitial":"J.","affiliations":[{"id":27479,"text":"Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":648736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Nathan E.","contributorId":52075,"corporation":false,"usgs":true,"family":"Stone","given":"Nathan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":648737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shuey, Megan M.","contributorId":51200,"corporation":false,"usgs":true,"family":"Shuey","given":"Megan M.","affiliations":[],"preferred":false,"id":648738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birdsell, Dawn","contributorId":174615,"corporation":false,"usgs":false,"family":"Birdsell","given":"Dawn","email":"","affiliations":[{"id":27480,"text":"1Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":648739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colman, Rebecca E.","contributorId":107988,"corporation":false,"usgs":false,"family":"Colman","given":"Rebecca","email":"","middleInitial":"E.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":648740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schupp, James M.","contributorId":36455,"corporation":false,"usgs":true,"family":"Schupp","given":"James M.","affiliations":[],"preferred":false,"id":648741,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aziz, Maliha","contributorId":174616,"corporation":false,"usgs":false,"family":"Aziz","given":"Maliha","email":"","affiliations":[{"id":27481,"text":"Translational Genomics Research Institute North, 3051 W. Shamrell Blvd #106, Flagstaff, Arizona 86001, USA","active":true,"usgs":false}],"preferred":false,"id":648742,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Andel, Roger","contributorId":95799,"corporation":false,"usgs":false,"family":"Van Andel","given":"Roger","email":"","affiliations":[],"preferred":false,"id":648743,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":648734,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wagner, David M.","contributorId":8737,"corporation":false,"usgs":false,"family":"Wagner","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":648745,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Busch, Joseph D.","contributorId":44052,"corporation":false,"usgs":false,"family":"Busch","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":648744,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70175342,"text":"sir20165104 - 2016 - Geomorphic responses of Duluth-area streams to the June 2012 flood, Minnesota","interactions":[],"lastModifiedDate":"2022-03-09T20:41:51.530149","indexId":"sir20165104","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5104","title":"Geomorphic responses of Duluth-area streams to the June 2012 flood, Minnesota","docAbstract":"In 2013, the U.S. Geological Survey, in cooperation with the Minnesota Pollution Control Agency, completed a geomorphic assessment of 51 Duluth-area stream sites in 20 basins to describe and document the stream geomorphic changes associated with the June 2012 flood. Heavy rainfall caused flood peaks with annual exceedance probabilities of less than 0.002 (flood recurrence interval of greater than 500 years) on large and small streams in and surrounding the Duluth area. A geomorphic segment-scale classification previously developed in 2003–4 by the U.S. Geological Survey for Duluth-area streams was used as a framework to characterize the observed flood-related responses along a longitudinal continuum from headwaters to rivermouths at Lake Superior related to drainage network position, slope, geologic setting, and valley type. Field assessments in 2013 followed and expanded on techniques used in 2003–4 at intensive and rapid sites. A third level of assessment was added in 2013 to increase the amount of quantitative data at a subset of 2003–4 rapid sites. Characteristics of channel morphology, channel bed substrate, exposed bars and soft sediment deposition, large wood, pools, and bank erosion were measured; and repeat photographs were taken. Additional measurements in 2013 included identification of Rosgen Level II stream types. The comparative analyses of field data collected in 2003–4 and again in 2013 indicated notable geomorphic changes, some of them expected and others not. As expected, in headwaters with gently sloping wetland segments, geomorphic changes were negligible (little measured or observed change). Downstream, middle main stems generally had bank and bluff erosion and bar formation as expected. Steep bedrock sites along middle and lower main stems had localized bank and bluff erosion in short sections with intermittent bedrock. Lower main stem and alluvial sites had bank erosion, widening, gravel bar deposition, and aggradation. Bar formation and accumulation of gravel was more widespread than expected among all main stems, especially for sites upstream and downstream from channel constrictions from road crossings, or even steep sites with localized, more gently sloping sections. Decreases in large wood and pools also were observed throughout the longitudinal continuum of main-stem sites, with immediate implications for fish and benthic invertebrate aquatic habitat. Whether or not the geomorphic conditions will return to their preflood condition depends on the location along the longitudinal continuum. The amount of large wood and pools may return after more moderate floods, whereas bars with coarse material may remain in place, locally altering flow direction and causing continued bank erosion. Results from this study can be used by local managers in postflood reconstruction efforts and provide baseline information for continued monitoring of geomorphic responses to the June 2012 flood.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165104","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Fitzpatrick, F.A., Ellison, C.A., Czuba, C.R., Young, B.M., McCool, M.M., and Groten, J.T., 2016, Geomorphic responses of Duluth-area streams to the June 2012 flood, Minnesota: U.S. Geological Survey Scientific Investigations Report 2016–5104, 53 p. with appendixes, https://dx.doi.org/10.3133/sir20165104.","productDescription":"Report: vi, 53 p.; Appendixes: 1–4","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065922","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":328169,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104_appendix4.xlsx","text":"Appendix 4","size":"990 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5104 Appendix 4"},{"id":328168,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104_appendix3.zip","text":"Appendix 3","size":"2.36 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016–5104 Appendix 3"},{"id":328167,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104_appendix2.pdf","text":"Appendix 2","size":"83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5104 Appendix 2"},{"id":328166,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104_appendix1.xlsx","text":"Appendix 1","size":"30.3 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5104 Appendix 1"},{"id":328164,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5104/coverthb.jpg"},{"id":328165,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104.pdf","text":"Report","size":"5.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5104"}],"country":"United States","state":"Minnesota","city":"Duluth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.92741394042969,\n 46.87849898215226\n ],\n [\n -92.01805114746094,\n 46.924007100770275\n ],\n [\n -92.0328140258789,\n 46.981891954654735\n ],\n [\n -92.07744598388672,\n 47.003202171774475\n ],\n [\n -92.13890075683594,\n 46.96666516842388\n ],\n [\n -92.14302062988281,\n 46.90806019832023\n ],\n [\n -92.19657897949219,\n 46.81039934792954\n ],\n [\n -92.20756530761719,\n 46.785956378641224\n ],\n [\n -92.35382080078125,\n 46.69301892051677\n ],\n [\n -92.31021881103516,\n 46.66758028334327\n ],\n [\n -92.24292755126953,\n 46.65438516352555\n ],\n [\n -92.20378875732422,\n 46.65532777888051\n ],\n [\n -92.20172882080078,\n 46.703614817813545\n ],\n [\n -92.1866226196289,\n 46.71915170604123\n ],\n [\n -92.1488571166992,\n 46.71891633201399\n ],\n [\n -92.13924407958984,\n 46.739390031317825\n ],\n [\n -92.02869415283203,\n 46.822616668804926\n ],\n [\n -91.92741394042969,\n 46.87849898215226\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Minnesota Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
The Scaling Climate Change Adaptation in the Northern Great Plains through Regional Climate Summaries and Local Qualitative-Quantitative Scenario Planning Workshops project synthesizes climate data into 3-5 distinct but plausible climate summaries for the northern Great Plains region; crafts quantitative summaries of these climate futures for two focal areas; and applies these local summaries by developing climate-resource-management scenarios through participatory workshops and, where possible, simulation models. The two focal areas are central North Dakota and southwest South Dakota (Figure 1). The primary objective of this project is to help resource managers and scientists in a focal area use scenario planning to make management and planning decisions based on assessments of critical future uncertainties.
This report summarizes project work for public and tribal lands in the southwest South Dakota grasslands focal area, with an emphasis on Badlands National Park and Buffalo Gap National Grassland. The report explains scenario planning as an adaptation tool in general, then describes how it was applied to the focal area in three phases. Priority resource management and climate uncertainties were identified in the orientation phase. Local climate summaries for relevant, divergent, and challenging climate scenarios were developed in the second phase. In the final phase, a two-day scenario planning workshop held January 20-21, 2016 in Rapid City, South Dakota, featured scenario development and implications, testing management decisions, and methods for operationalizing scenario planning outcomes.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, Colorado","usgsCitation":"Fisichelli, N.A., Schuurman, G.W., Symstad, A.J., Ray, A., Miller, B., Cross, M., and Rowland, E., 2016, Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD: Natural Resource Report NPS/NRSS/NRR—2016/1289, ix, 61 p.","productDescription":"ix, 61 p.","numberOfPages":"76","ipdsId":"IP-075140","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328423,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2233058"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3ce4b0571647d19ac3","contributors":{"authors":[{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":648451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":648452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Andrea","contributorId":71869,"corporation":false,"usgs":true,"family":"Ray","given":"Andrea","affiliations":[],"preferred":false,"id":648453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brian","contributorId":100753,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","affiliations":[],"preferred":false,"id":648454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Molly","contributorId":73455,"corporation":false,"usgs":true,"family":"Cross","given":"Molly","affiliations":[],"preferred":false,"id":648455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowland, Erika","contributorId":146177,"corporation":false,"usgs":false,"family":"Rowland","given":"Erika","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":648456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176107,"text":"70176107 - 2016 - National protocol framework for the inventory and monitoring of bees","interactions":[],"lastModifiedDate":"2018-08-10T16:16:48","indexId":"70176107","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"National protocol framework for the inventory and monitoring of bees","docAbstract":"This national protocol framework is a standardized tool for the inventory and monitoring of the approximately 4,200 species of native and non-native bee species that may be found within the National Wildlife Refuge System (NWRS) administered by the U.S. Fish and Wildlife Service (USFWS). However, this protocol framework may also be used by other organizations and individuals to monitor bees in any given habitat or location. Our goal is to provide USFWS stations within the NWRS (NWRS stations are land units managed by the USFWS such as national wildlife refuges, national fish hatcheries, wetland management districts, conservation areas, leased lands, etc.) with techniques for developing an initial baseline inventory of what bee species are present on their lands and to provide an inexpensive, simple technique for monitoring bees continuously and for monitoring and evaluating long-term population trends and management impacts. The latter long-term monitoring technique requires a minimal time burden for the individual station, yet can provide a good statistical sample of changing populations that can be investigated at the station, regional, and national levels within the USFWS’ jurisdiction, and compared to other sites within the United States and Canada. This protocol framework was developed in cooperation with the United States Geological Survey (USGS), the USFWS, and a worldwide network of bee researchers who have investigated the techniques and methods for capturing bees and tracking population changes. The protocol framework evolved from field and lab-based investigations at the USGS Bee Inventory and Monitoring Laboratory at the Patuxent Wildlife Research Center in Beltsville, Maryland starting in 2002 and was refined by a large number of USFWS, academic, and state groups. It includes a Protocol Introduction and a set of 8 Standard Operating Procedures or SOPs and adheres to national standards of protocol content and organization. The Protocol Narrative describes the history and need for the protocol framework and summarizes the basic elements of objectives, sampling design, field methods, training, data management, analysis, and reporting. The SOPs provide more detail and specific instructions for implementing the protocol framework. A central database, for managing all the resulting data is under development. We welcome use of this protocol framework by our partners, as appropriate for their bee inventory and monitoring objectives.
","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Droege, S., Engler, J.D., Sellers, E.A., and O’Brien, L., 2016, National protocol framework for the inventory and monitoring of bees, v, 79 p.","productDescription":"v, 79 p.","numberOfPages":"97","ipdsId":"IP-054936","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":328772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":327877,"type":{"id":11,"text":"Document"},"url":"https://ecos.fws.gov/ServCatFiles/reference/holding/47682"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c66ce4b0bc0bec09c978","contributors":{"authors":[{"text":"Droege, Sam sdroege@usgs.gov","contributorId":3464,"corporation":false,"usgs":true,"family":"Droege","given":"Sam","email":"sdroege@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":647131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engler, Joseph D.","contributorId":69943,"corporation":false,"usgs":false,"family":"Engler","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":647132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sellers, Elizabeth A. 0000-0003-4676-2994 esellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-2994","contributorId":4704,"corporation":false,"usgs":true,"family":"Sellers","given":"Elizabeth","email":"esellers@usgs.gov","middleInitial":"A.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":647130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Brien, Lee","contributorId":174067,"corporation":false,"usgs":false,"family":"O’Brien","given":"Lee","email":"","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":647133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176518,"text":"70176518 - 2016 - Balanced sediment fluxes in southern California’s Mediterranean-climate zone salt marshes","interactions":[],"lastModifiedDate":"2017-07-19T15:38:12","indexId":"70176518","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Balanced sediment fluxes in southern California’s Mediterranean-climate zone salt marshes","docAbstract":"Salt marsh elevation and geomorphic stability depends on mineral sedimentation. Many Mediterranean-climate salt marshes along southern California, USA coast import sediment during El Niño storm events, but sediment fluxes and mechanisms during dry weather are potentially important for marsh stability. We calculated tidal creek sediment fluxes within a highly modified, sediment-starved, 1.5-km2 salt marsh (Seal Beach) and a less modified 1-km2marsh (Mugu) with fluvial sediment supply. We measured salt marsh plain suspended sediment concentration and vertical accretion using single stage samplers and marker horizons. At Seal Beach, a 2014 storm yielded 39 and 28 g/s mean sediment fluxes and imported 12,000 and 8800 kg in a western and eastern channel. Western channel storm imports offset 8700 kg exported during 2 months of dry weather, while eastern channel storm imports augmented 9200 kg imported during dry weather. During the storm at Mugu, suspended sediment concentrations on the marsh plain increased by a factor of four; accretion was 1–2 mm near creek levees. An exceptionally high tide sequence yielded 4.4 g/s mean sediment flux, importing 1700 kg: 20 % of Mugu’s dry weather fluxes. Overall, low sediment fluxes were observed, suggesting that these salt marshes are geomorphically stable during dry weather conditions. Results suggest storms and high lunar tides may play large roles, importing sediment and maintaining dry weather sediment flux balances for southern California salt marshes. However, under future climate change and sea level rise scenarios, results suggest that balanced sediment fluxes lead to marsh elevational instability based on estimated mineral sediment deficits.
The Scaling Climate Change Adaptation in the Northern Great Plains through Regional Climate Summaries and Local Qualitative-Quantitative Scenario Planning Workshops project synthesizes climate data into 3-5 distinct but plausible climate summaries for the northern Great Plains region; crafts quantitative summaries of these climate futures for two focal areas; and applies these local summaries by developing climate-resource-management scenarios through participatory workshops and, where possible, simulation models. The two focal areas are central North Dakota and southwest South Dakota (Figure 1). The primary objective of this project is to help resource managers and scientists in a focal area use scenario planning to make management and planning decisions based on assessments of critical future uncertainties.
This report summarizes project work for public and tribal lands in the central North Dakota focal area, with an emphasis on Knife River Indian Villages National Historic Site. The report explains
scenario planning as an adaptation tool in general, then describes how it was applied to the central North Dakota focal area in three phases. Priority resource management and climate uncertainties were identified in the orientation phase. Local climate summaries for relevant, divergent, and challenging climate scenarios were developed in the second phase. In the final phase, a two-day scenario planning workshop held November 12-13, 2015 in Bismarck, ND, featured scenario development and implications, testing management decisions, and methods for operationalizing scenario planning outcomes.
Wetland connectivity provides migratory shorebirds varying options to meet energy requirements to survive and complete their annual cycle. Multiple factors mediate movement and residency of spatially segregated wetlands. Information on these factors is lacking in the tropics, yet such information is invaluable for conservation design. The influence of seven biotic and abiotic factors on local movement and residency rates of Semipalmated Sandpipers (Calidris pusilla) among three major wetlands in southwestern Puerto Rico in 2013–2014 was assessed using multi-state models. The model with highest support (AICc wi= 0.78) indicated that weekly residency rates increased seasonally, and were positively influenced by bird abundance and the interaction of prey density and rainfall. Movement rates were negatively influenced by inter-wetland distance, which varied annually, ranging from 0.01 ± 0.004 to 0.33 ± 0.08. Age class (adult, juvenile), extent of shoreline habitat (km), and body condition (estimated percent fat) did not influence residency rates (95% CIs overlapped Betas). Our findings indicated that coastal wetlands in southwestern Puerto Rico were connected, pointing at the joint value of salt flats and mangroves for overwintering Semipalmated Sandpipers. Connectivity between different types of wetlands likely widens resource diversity, which is essential for coping with unpredictable environments. Additional work is needed to generalize our understanding of inter-wetland dynamics and their potential benefits to inform shorebird conservation strategies in the Caribbean.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0304","usgsCitation":"Parks, M.A., Collazo, J., and Ramos Alvarez, K.R., 2016, Factors affecting wetland connectivity for wintering semipalmated sandpipers (Calidris pusilla) in the Caribbean: Waterbirds, v. 39, no. 3, p. 250-259, https://doi.org/10.1675/063.039.0304.","productDescription":"10 p.","startPage":"250","endPage":"259","ipdsId":"IP-070138","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.21641540527344,\n 17.928109247721633\n ],\n [\n -67.21641540527344,\n 18.061659495798455\n ],\n [\n -67.05162048339844,\n 18.061659495798455\n ],\n [\n -67.05162048339844,\n 17.928109247721633\n ],\n [\n -67.21641540527344,\n 17.928109247721633\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dee4b077fc20250e0a","contributors":{"authors":[{"text":"Parks, Morgan A.","contributorId":177347,"corporation":false,"usgs":false,"family":"Parks","given":"Morgan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":655384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramos Alvarez, Katsi R.","contributorId":177348,"corporation":false,"usgs":false,"family":"Ramos Alvarez","given":"Katsi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":655405,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179628,"text":"70179628 - 2016 - Differential influences of local subpopulations on regional diversity and differentiation for greater sage-grouse (Centrocercus urophasianus)","interactions":[],"lastModifiedDate":"2017-01-10T11:26:14","indexId":"70179628","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Differential influences of local subpopulations on regional diversity and differentiation for greater sage-grouse (Centrocercus urophasianus)","docAbstract":"The distribution of spatial genetic variation across a region can shape evolutionary dynamics and impact population persistence. Local population dynamics and among-population dispersal rates are strong drivers of this spatial genetic variation, yet for many species we lack a clear understanding of how these population processes interact in space to shape within-species genetic variation. Here, we used extensive genetic and demographic data from 10 subpopulations of greater sage-grouse to parameterize a simulated approximate Bayesian computation (ABC) model and (i) test for regional differences in population density and dispersal rates for greater sage-grouse subpopulations in Wyoming, and (ii) quantify how these differences impact subpopulation regional influence on genetic variation. We found a close match between observed and simulated data under our parameterized model and strong variation in density and dispersal rates across Wyoming. Sensitivity analyses suggested that changes in dispersal (via landscape resistance) had a greater influence on regional differentiation, whereas changes in density had a greater influence on mean diversity across all subpopulations. Local subpopulations, however, varied in their regional influence on genetic variation. Decreases in the size and dispersal rates of central populations with low overall and net immigration (i.e. population sources) had the greatest negative impact on genetic variation. Overall, our results provide insight into the interactions among demography, dispersal and genetic variation and highlight the potential of ABC to disentangle the complexity of regional population dynamics and project the genetic impact of changing conditions.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.13776","usgsCitation":"Row, J.R., Oyler-McCance, S.J., and Fedy, B.C., 2016, Differential influences of local subpopulations on regional diversity and differentiation for greater sage-grouse (Centrocercus urophasianus): Molecular Ecology, v. 25, p. 4424-4437, https://doi.org/10.1111/mec.13776.","productDescription":"14 p.","startPage":"4424","endPage":"4437","ipdsId":"IP-072246","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":333017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-06","publicationStatus":"PW","scienceBaseUri":"58760116e4b04eac8e0746e3","chorus":{"doi":"10.1111/mec.13776","url":"http://dx.doi.org/10.1111/mec.13776","publisher":"Wiley-Blackwell","authors":"Row Jeffrey R., Oyler-McCance Sara J., Fedy Bradley C.","journalName":"Molecular Ecology","publicationDate":"9/2016"},"contributors":{"authors":[{"text":"Row, Jeffery R.","contributorId":178107,"corporation":false,"usgs":false,"family":"Row","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":657950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fedy, Brad C.","contributorId":140877,"corporation":false,"usgs":false,"family":"Fedy","given":"Brad","email":"","middleInitial":"C.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":657952,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180252,"text":"70180252 - 2016 - Yosemite Hydroclimate Network: Distributed stream and atmospheric data for the Tuolumne River watershed and surroundings","interactions":[],"lastModifiedDate":"2017-01-26T13:29:58","indexId":"70180252","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Yosemite Hydroclimate Network: Distributed stream and atmospheric data for the Tuolumne River watershed and surroundings","docAbstract":"Regions of complex topography and remote wilderness terrain have spatially varying patterns of temperature and streamflow, but due to inherent difficulties of access, are often very poorly sampled. Here we present a data set of distributed stream stage, streamflow, stream temperature, barometric pressure, and air temperature from the Tuolumne River Watershed in Yosemite National Park, Sierra Nevada, California, USA, for water years 2002–2015, as well as a quality-controlled hourly meteorological forcing time series for use in hydrologic modeling. We also provide snow data and daily inflow to the Hetch Hetchy Reservoir for 1970–2015. This paper describes data collected using low-visibility and low-impact installations for wilderness locations and can be used alone or as a critical supplement to ancillary data sets collected by cooperating agencies, referenced herein. This data set provides a unique opportunity to understand spatial patterns and scaling of hydroclimatic processes in complex terrain and can be used to evaluate downscaling techniques or distributed modeling. The paper also provides an example methodology and lessons learned in conducting hydroclimatic monitoring in remote wilderness.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR019261","usgsCitation":"Lundquist, J., Roche, J.W., Forrester, H., Moore, C., Keenan, E., Perry, G., Cristea, N., Henn, B., Lapo, K., McGurk, B., Cayan, D.R., and Dettinger, M., 2016, Yosemite Hydroclimate Network: Distributed stream and atmospheric data for the Tuolumne River watershed and surroundings: Water Resources Research, v. 52, no. 9, p. 7478-7489, https://doi.org/10.1002/2016WR019261.","productDescription":"12 p.","startPage":"7478","endPage":"7489","ipdsId":"IP-077662","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":334061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tuolumne River Watershed, Yosemite National Park","volume":"52","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-22","publicationStatus":"PW","scienceBaseUri":"588b1977e4b0ad67323f97e6","contributors":{"authors":[{"text":"Lundquist, Jessica D.","contributorId":12792,"corporation":false,"usgs":true,"family":"Lundquist","given":"Jessica D.","affiliations":[],"preferred":false,"id":660936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roche, James W.","contributorId":178800,"corporation":false,"usgs":false,"family":"Roche","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":660937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forrester, Harrison","contributorId":178773,"corporation":false,"usgs":false,"family":"Forrester","given":"Harrison","email":"","affiliations":[],"preferred":false,"id":660938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Courtney","contributorId":178775,"corporation":false,"usgs":false,"family":"Moore","given":"Courtney","email":"","affiliations":[],"preferred":false,"id":660940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keenan, Eric","contributorId":178776,"corporation":false,"usgs":false,"family":"Keenan","given":"Eric","email":"","affiliations":[],"preferred":false,"id":660941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, Gwyneth","contributorId":178777,"corporation":false,"usgs":false,"family":"Perry","given":"Gwyneth","email":"","affiliations":[],"preferred":false,"id":660942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cristea, Nicoleta","contributorId":178778,"corporation":false,"usgs":false,"family":"Cristea","given":"Nicoleta","email":"","affiliations":[],"preferred":false,"id":660943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Henn, Brian","contributorId":139777,"corporation":false,"usgs":false,"family":"Henn","given":"Brian","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":660944,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lapo, Karl","contributorId":178779,"corporation":false,"usgs":false,"family":"Lapo","given":"Karl","email":"","affiliations":[],"preferred":false,"id":660945,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McGurk, Bruce","contributorId":178780,"corporation":false,"usgs":false,"family":"McGurk","given":"Bruce","email":"","affiliations":[],"preferred":false,"id":660946,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":660934,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":146383,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","email":"mddettin@usgs.gov","affiliations":[],"preferred":false,"id":660935,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70178668,"text":"70178668 - 2016 - Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column","interactions":[],"lastModifiedDate":"2017-04-25T16:47:59","indexId":"70178668","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column","docAbstract":"Owing to human activity, global nitrogen (N) cycles have been altered. In the past 100 years, global N deposition has increased. Currently, the monitoring and estimating of N deposition and the evaluation of its effects on global carbon budgets are the focus of many researchers. NO2 columns retrieved by space-borne sensors provide us with a new way of exploring global N cycles and these have the ability to estimate N deposition. However, the time range limitation of NO2 columns makes the estimation of long timescale N deposition difficult. In this study we used ground-based NOx emission data to expand the density of NO2columns, and 40 years of N deposition (1970–2009) was inverted using the multivariate linear model with expanded NO2 columns. The dynamic of N deposition was examined in both global and biome scales. The results show that the average N deposition was 0.34 g N m–2 year–1 in the 2000s, which was an increase of 38.4% compared with the 1970s’. The total N deposition in different biomes is unbalanced. N deposition is only 38.0% of the global total in forest biomes; this is made up of 25.9%, 11.3, and 0.7% in tropical, temperate, and boreal forests, respectively. As N-limited biomes, there was little increase of N deposition in boreal forests. However, N deposition has increased by a total of 59.6% in tropical forests and croplands, which are N-rich biomes. Such characteristics may influence the effects on global carbon budgets.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2016.1225178","usgsCitation":"Lu, X., Zhang, X., Liu, J., and Jin, J., 2016, Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column: International Journal of Remote Sensing, v. 37, no. 20, p. 4964-4978, https://doi.org/10.1080/01431161.2016.1225178.","productDescription":"15 p.","startPage":"4964","endPage":"4978","ipdsId":"IP-076950","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":331434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"20","noUsgsAuthors":false,"publicationDate":"2016-09-21","publicationStatus":"PW","scienceBaseUri":"584144e0e4b04fc80e5073ac","contributors":{"authors":[{"text":"Lu, Xuehe","contributorId":73517,"corporation":false,"usgs":true,"family":"Lu","given":"Xuehe","affiliations":[],"preferred":false,"id":654763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Xiuying","contributorId":175218,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiuying","email":"","affiliations":[{"id":27538,"text":"International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093","active":true,"usgs":false}],"preferred":false,"id":654764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":654765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jin, Jiaxin","contributorId":13561,"corporation":false,"usgs":true,"family":"Jin","given":"Jiaxin","affiliations":[],"preferred":false,"id":654766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178354,"text":"70178354 - 2016 - Biochemical and clinical responses of Common Eiders to implanted satellite transmitters","interactions":[],"lastModifiedDate":"2016-11-15T12:02:59","indexId":"70178354","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Biochemical and clinical responses of Common Eiders to implanted satellite transmitters","docAbstract":"Implanted biologging devices, such as satellite-linked platform transmitter terminals (PTTs), have been used widely to delineate populations and identify movement patterns of sea ducks. Although in some cases these ecological studies could reveal transmitter effects on behavior and mortality, experiments conducted under controlled conditions can provide valuable information to understand the influence of implanted tags on health and physiology. We report the clinical, mass, biochemical, and histological responses of captive Common Eiders (Somateria mollissima) implanted with PTTs with percutaneous antennas. We trained 6 individuals to dive 4.9 m for their food, allowed them to acclimate to this dive depth, and implanted them with PTTs. We collected data before surgery to establish baselines, and for 3.5 mo after surgery. The first feeding dive took place 22 hr after surgery, with 5 of 6 birds diving to the bottom within 35 hr of surgery. Plumage waterproofing around surgical sites was reduced ≤21 days after surgery. Mass; albumin; albumin:globulin ratio; aspartate aminotransferase; β1-, β2-, and γ-globulins; creatine kinase; fecal glucocorticoid metabolites; heterophil:lymphocyte ratio; and packed cell volume changed from baseline on one or more of the postsurgery sampling dates, and some changes were still evident 3.5 mo after surgery. Our findings show that Common Eiders physiologically responded for up to 3.5 mo after surgical implantation of a PTT, with the greatest response occurring within the first few weeks of implantation. These responses support the need for postsurgery censor periods for satellite telemetry data and should be considered when designing studies and analyzing information from PTTs in sea ducks.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-7.1","usgsCitation":"Latty, C.J., Hollmen, T.E., Petersen, M.R., Powell, A., and Andrews, R.D., 2016, Biochemical and clinical responses of Common Eiders to implanted satellite transmitters: The Condor, v. 118, no. 3, p. 489-501, https://doi.org/10.1650/CONDOR-16-7.1.","productDescription":"13 p.","startPage":"489","endPage":"501","ipdsId":"IP-076365","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":462099,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-7.1","text":"Publisher Index Page"},{"id":438557,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MR0","text":"USGS data release","linkHelpText":"Common Eider Blood Chemistry Data, Alaska, 2005"},{"id":331010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582c2ce5e4b0c253be072c06","contributors":{"authors":[{"text":"Latty, Christopher J.","contributorId":146588,"corporation":false,"usgs":false,"family":"Latty","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":653820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollmen, Tuula E.","contributorId":106077,"corporation":false,"usgs":true,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":653821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":653752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":653751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Russel D.","contributorId":146589,"corporation":false,"usgs":false,"family":"Andrews","given":"Russel","email":"","middleInitial":"D.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":653822,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178854,"text":"70178854 - 2016 - Use of free water by nesting lesser prairie-chickens","interactions":[],"lastModifiedDate":"2016-12-09T14:08:07","indexId":"70178854","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Use of free water by nesting lesser prairie-chickens","docAbstract":"The lesser prairie-chicken (Tympanuchus pallidicinctus) is a grassland grouse of semiarid regions. Use of free water has been hypothesized as necessary for egg formation during drought. We assessed the use of hydrogen isotopes (deuterium, δ2H) to determine if female lesser prairie-chickens use and incorporate free water during egg formation by testing the relationship between isotope ratios in available free water and eggshells. We collected eggshells from 124 nests and 282 free water samples from three sites in Kansas in 2013 and 2014. Eggshells had δ2H values similar to free water in the year of severe drought but were dissimilar the year with lessened drought severity. With an established link between lesser prairie-chicken eggshells and free water during severe drought, we have identified a mechanism behind observations of lesser prairie-chicken water use. We have demonstrated that hydrogen isotopes can be used to test research questions related to use of free water.
","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-61.3.187","usgsCitation":"Robinson, S.G., Haukos, D.A., Sullins, D.S., and Plumb, R.T., 2016, Use of free water by nesting lesser prairie-chickens: Southwestern Naturalist, v. 61, no. 3, p. 187-193, https://doi.org/10.1894/0038-4909-61.3.187.","productDescription":"7 p.","startPage":"187","endPage":"193","ipdsId":"IP-071375","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dee4b077fc20250e0c","contributors":{"authors":[{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":655366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":655319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":655367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":655368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174862,"text":"70174862 - 2016 - Seiche-induced unsteady flows in the Huron-Erie Corridor: Spectral analysis of oscillations in stage and discharge in the St. Clair and Detroit Rivers","interactions":[],"lastModifiedDate":"2016-09-08T09:47:50","indexId":"70174862","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Seiche-induced unsteady flows in the Huron-Erie Corridor: Spectral analysis of oscillations in stage and discharge in the St. Clair and Detroit Rivers","docAbstract":"Animations of highly dynamic water-surface profiles through the St. Clair and Detroit Rivers have identified transient disturbances propagating from Lakes Huron and Erie into the St. Clair and Detroit Rivers, respectively. To determine any relation to seiche and tidal oscillations on Lakes Huron\r\nand Erie, a spectral analysis was performed on stage and discharge data from the Huron-Erie Corridor. There is excellent agreement between the observed oscillations in stage and discharge in the St. Clair and Detroit Rivers and the documented frequencies of oscillations in Lakes Huron and Erie. The fundamental seiche, some higher-order seiche modes, and the semidiurnal tide from Lakes Huron and Erie are evident in the stage and discharge records at gages along the St. Clair and Detroit Rivers, respectively. Lake St. Clair appears to act as a damper in the system. If not accounted for, these oscillations may complicate monitoring, modeling, and restoration of this system.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the International Conference on Fluvial Hydraulics (River Flows 2016)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Fluvial Hydraulics (River Flows 2016)","conferenceDate":"July 11-14, 2016","conferenceLocation":"Iowa City, IA","language":"English","publisher":"CRC Press","isbn":"978-1-138-02913-2","usgsCitation":"Jackson, P., 2016, Seiche-induced unsteady flows in the Huron-Erie Corridor: Spectral analysis of oscillations in stage and discharge in the St. Clair and Detroit Rivers, in Proceedings of the International Conference on Fluvial Hydraulics (River Flows 2016), Iowa City, IA, July 11-14, 2016, p. 235-241.","productDescription":"7 p.","startPage":"235","endPage":"241","ipdsId":"IP-073930","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":328349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325421,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/River-Flow-2016-Iowa-City-USA-July-11-14-2016/Constantinescu-Garcia-Hanes/p/book/9781138029132"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bafe4b0571647d0f942","contributors":{"editors":[{"text":"Contantinescu, G.","contributorId":174465,"corporation":false,"usgs":false,"family":"Contantinescu","given":"G.","email":"","affiliations":[],"preferred":false,"id":648308,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia, M.","contributorId":45187,"corporation":false,"usgs":true,"family":"Garcia","given":"M.","email":"","affiliations":[],"preferred":false,"id":648309,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hanes, D.","contributorId":174466,"corporation":false,"usgs":false,"family":"Hanes","given":"D.","email":"","affiliations":[],"preferred":false,"id":648310,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":169284,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642864,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70174861,"text":"70174861 - 2016 - Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing","interactions":[],"lastModifiedDate":"2016-09-08T10:14:22","indexId":"70174861","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing","docAbstract":"The Chicago Area Waterway System (CAWS) includes the Chicago Sanitary and Ship Canal (CSSC) and the Calumet-Sag Channel (Cal-Sag), the two primary, man-made connections between the Mississippi River Basin and the Great Lakes. The U.S. Geological Survey (USGS) monitors diversion of Great Lakes water at a streamgage just downstream of the confluence of the CSSC and Cal-Sag (known as Sag Junction). Previous studies have explored the complex hydrodynamics in the CAWS near Sag Junction and at the USGS streamgage near Lemont, Illinois. The current study explores the mixing at Sag Junction which can be purely advection-driven or driven by density differences between the two branches. The current study simulates and analyzes two cases: 1) the density of water in CSSC is greater than in the Cal-Sag, 2) the density of the CSSC water is less than in the Cal-Sag. The density difference between the branches was found to play a major role in influencing the mixing process compared with purely advection-driven mixing. Density differences created near-bed gravity currents, some of which\r\nintruded upstream into the CSSC or Cal-Sag creating bi-directional flows. The phenomenon of double plunging was observed, along with formation of a recirculation zone between the two plunging fronts. Local mixing at the confluence was enhanced by density differences between the two channels, but mixing downstream from the confluence was impeded due to formation of a stabilizing stratification.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the International Conference on Fluvial Hydraulics (River Flows 2016)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Fluvial Hydraulics (River Flows 2016)","conferenceDate":"July 11-14, 2016","conferenceLocation":"Iowa City, IA","language":"English","publisher":"CRC Press","isbn":"9781138029132","usgsCitation":"Wang, D., Dudda, S., Jackson, P., and Garcia, M., 2016, Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing, in Proceedings of the International Conference on Fluvial Hydraulics (River Flows 2016), Iowa City, IA, July 11-14, 2016, p. 1587-1595.","productDescription":"9 p.","startPage":"1587","endPage":"1595","ipdsId":"IP-072509","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":328351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325420,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/River-Flow-2016-Iowa-City-USA-July-11-14-2016/Constantinescu-Garcia-Hanes/p/book/9781138029132"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bafe4b0571647d0f94e","contributors":{"editors":[{"text":"Constantinescu, George","contributorId":174167,"corporation":false,"usgs":false,"family":"Constantinescu","given":"George","email":"","affiliations":[{"id":7241,"text":"IIHR-Hydroscience and Engineering, Department of Civil and Environmental Engineering, The University of Iowa","active":true,"usgs":false}],"preferred":false,"id":648318,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":648319,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hanes, Dan","contributorId":174168,"corporation":false,"usgs":false,"family":"Hanes","given":"Dan","email":"","affiliations":[{"id":12995,"text":"Department of Earth and Atmospheric Sciences, Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":648320,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wang, Dongchen","contributorId":172975,"corporation":false,"usgs":false,"family":"Wang","given":"Dongchen","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":642861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudda, Som","contributorId":172976,"corporation":false,"usgs":false,"family":"Dudda","given":"Som","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":642862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":169284,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":642863,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182088,"text":"70182088 - 2016 - Low survival rates of Swan Geese (Anser cygnoides) estimated from neck-collar resighting and telemetry","interactions":[],"lastModifiedDate":"2017-02-16T09:31:19","indexId":"70182088","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Low survival rates of Swan Geese (Anser cygnoides) estimated from neck-collar resighting and telemetry","docAbstract":"Waterbird survival rates are a key component of demographic modeling used for effective conservation of long-lived threatened species. The Swan Goose (Anser cygnoides) is globally threatened and the most vulnerable goose species endemic to East Asia due to its small and rapidly declining population. To address a current knowledge gap in demographic parameters of the Swan Goose, available datasets were compiled from neck-collar resighting and telemetry studies, and two different models were used to estimate their survival rates. Results of a mark-resighting model using 15 years of neck-collar data (2001–2015) provided age-dependent survival rates and season-dependent encounter rates with a constant neck-collar retention rate. Annual survival rate was 0.638 (95% CI: 0.378–0.803) for adults and 0.122 (95% CI: 0.028–0.286) for first-year juveniles. Known-fate models were applied to the single season of telemetry data (autumn 2014) and estimated a mean annual survival rate of 0.408 (95% CI: 0.152–0.670) with higher but non-significant differences for adults (0.477) vs. juveniles (0.306). Our findings indicate that Swan Goose survival rates are comparable to the lowest rates reported for European or North American goose species. Poor survival may be a key demographic parameter contributing to their declining trend. Quantitative threat assessments and associated conservation measures, such as restricting hunting, may be a key step to mitigate for their low survival rates and maintain or enhance their population.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0307","usgsCitation":"Choi, C., Lee, K., Poyarkov, N.D., Park, J., Lee, H., Takekawa, J.Y., Smith, L.M., Ely, C.R., Wang, X., Cao, L., Fox, A.D., Goroshko, O., Batbayar, N., Prosser, D.J., and Xiao, X., 2016, Low survival rates of Swan Geese (Anser cygnoides) estimated from neck-collar resighting and telemetry: Waterbirds, v. 39, no. 3, p. 277-286, https://doi.org/10.1675/063.039.0307.","productDescription":"10 p.","startPage":"277","endPage":"286","ipdsId":"IP-075702","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":335672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Mongolia, Russia, South Korea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":669520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Lacy M. 0000-0001-6733-1080 lmsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6733-1080","contributorId":4772,"corporation":false,"usgs":true,"family":"Smith","given":"Lacy","email":"lmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":669521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":669522,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, Xin","contributorId":177411,"corporation":false,"usgs":false,"family":"Wang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":669523,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cao, Lei","contributorId":181789,"corporation":false,"usgs":false,"family":"Cao","given":"Lei","email":"","affiliations":[],"preferred":false,"id":669524,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":669525,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Goroshko, Oleg","contributorId":181790,"corporation":false,"usgs":false,"family":"Goroshko","given":"Oleg","email":"","affiliations":[],"preferred":false,"id":669526,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Batbayar, Nyambaya","contributorId":181791,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambaya","affiliations":[],"preferred":false,"id":669527,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":669514,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":669528,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70176178,"text":"70176178 - 2016 - Safety of the molluscicide Zequanox (R) to nontarget macroinvertebrates Gammarus lacustris (Amphipoda: Gammaridae) and Hexagenia spp. (Ephemeroptera: Ephemeridae)","interactions":[],"lastModifiedDate":"2016-08-31T16:05:18","indexId":"70176178","displayToPublicDate":"2016-08-31T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Safety of the molluscicide Zequanox (R) to nontarget macroinvertebrates Gammarus lacustris (Amphipoda: Gammaridae) and Hexagenia spp. (Ephemeroptera: Ephemeridae)","docAbstract":"Zequanox® is a commercial formulation of the killed bacterium, Pseudomonas fluorescens (strain CL145A), that was developed to control dreissenid mussels. In 2014, Zequanox became the second product registered by the United States Environmental Protection Agency (USEPA) for use in open water environments as a molluscicide. Previous nontarget studies demonstrated the safety and selectivity of P. fluorescens CL154A, but the database on the toxicity of the formulation (Zequanox) is limited for macroinvertebrate taxa and exposure conditions. We evaluated the safety of Zequanox to the amphipod Gammarus lacustris lacustris, and nymphs of the burrowing mayfly, Hexagenia spp. at the maximum approved concentration (100 mg/L active ingredient, A.I.) and exposure duration (8 h). Survival of animals was assessed after 8 h of exposure and again at 24 and 96 h post-exposure. Histopathology of the digestive tract of control and treated animals was compared at 96 h post-exposure. The results showed no significant effect of Zequanox on survival of either species. Survival of G. lacustris exceeded 85% in all concentrations at all three sampling time points. Survival of Hexagenia spp. ranged from 71% (control) to 91% at 8 h, 89–93% at 24 h post-exposure, and 70–73% at 96 h post-exposure across all treatments. We saw no evidence of pathology in the visceral organs of treated animals. Our results indicate that application of Zequanox at the maximum approved concentration and exposure duration did not cause significant mortality or treatment-related histopathological changes to G. lacustris and Hexagenia spp.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre - REABIC","doi":"10.3391/mbi.2016.7.3.06","usgsCitation":"Waller, D.L., Luoma, J.A., and Erickson, R.A., 2016, Safety of the molluscicide Zequanox (R) to nontarget macroinvertebrates Gammarus lacustris (Amphipoda: Gammaridae) and Hexagenia spp. (Ephemeroptera: Ephemeridae): Management of Biological Invasions, v. 7, no. 3, p. 269-280, https://doi.org/10.3391/mbi.2016.7.3.06.","productDescription":"12 p.","startPage":"269","endPage":"280","ipdsId":"IP-071502","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2016.7.3.06","text":"Publisher Index Page"},{"id":328153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7f1ade4b0f2f0cebf11b3","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":647609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":647610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":647611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175411,"text":"sir20165034 - 2016 - Regional chloride distribution in the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to North Carolina","interactions":[],"lastModifiedDate":"2017-01-18T13:24:36","indexId":"sir20165034","displayToPublicDate":"2016-08-31T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5034","title":"Regional chloride distribution in the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to North Carolina","docAbstract":"The aquifers of the Northern Atlantic Coastal Plain are the principal source of water supply for the region’s nearly 20 million residents. Water quality and water levels in the aquifers, and maintenance of streamflow, are of concern because of the use of this natural resource for water supply and because of the possible effects of climate change and changes in land use on groundwater. The long-term sustainability of this natural resource is a concern at the local community scale, as well as at a regional scale, across state boundaries. In 2010, the U.S. Geological Survey (USGS) began a regional assessment of the Northern Atlantic Coastal Plain aquifers. An important part of this assessment is a regional interpretation of the extent of saltwater and the proximity of saltwater to fresh-groundwater resources and includes samples and published interpretations of chloride concentrations newly available since the last regional chloride assessment in 1989. This updated assessment also includes consideration of chloride samples and refined interpretations that stem from the 1994 discovery of the buried 35 million year old Chesapeake Bay impact structure that has substantially altered the understanding of the hydrogeologic framework and saltwater distribution in eastern Virginia.
\nIn this study, the regional area of concern for the chloride samples and interpretations extends from the Fall Line in the west to the outer edge of the Continental Shelf in the east and from the eastern tip of Long Island in the north to about halfway down the North Carolina coast in the south. Discussions of chloride distribution are presented for each of the 10 regional aquifer layers of the Northern Atlantic Coastal Plain, including the offshore extents. Maps of interpreted lines of equal concentration or isochlors were manually prepared for nine of the regional aquifers; a map was not prepared for the surficial regional aquifer. The isochlor interpretations include the offshore extent of the nine regional aquifers and are presented on a 1:2,000,000 scale base map. Vertically, the chloride samples and interpretations range from deepest (oldest) to shallowest (youngest)—Potomac-Patuxent, Potomac-Patapsco, Magothy, Matawan, Monmouth-Mount Laurel, Aquia, Piney Point, Lower Chesapeake, and Upper Chesapeake regional aquifers.
\nThe approach of this study maximizes the overall density of chloride information and data by assessing relevant published interpretations, all USGS chloride samples, and all relevant offshore samples in one comprehensive interpretation. Published isochlors, where they were interpreted by regional aquifer, were used as much as possible for this regional isochlor assessment. Publication dates for the isochlors used range from 1982 to 2015, and the scales for the isochlors range from local (county or municipality) to state (sub-regional) to regional. The USGS National Water Information System database provided well sample data for the parts of aquifers that are mainly beneath the land areas and yielded 37,517 water-quality records for 1903 through 2011. Published data reports from four phases of research-related offshore coring (1976, 1993, 1997, 2009) were the main source of water-quality data for the parts of aquifers from the shoreline to the outer edge of the Continental Shelf and yielded samples from multiple depths of each of 13 cores. This study also used interpretations and offshore core data from the last regional chloride assessment (1989) which, in addition to 7 offshore cores, included water-quality data from about 500 wells, and borehole geophysics interpretations from a subset of 11 wells. All published information and data that were used in this study were considered time independent and did not assess the published interpretations or data for temporal trends. The approach used here examined only published interpretations and available chloride data, and did not directly use supplemental techniques that can provide insight into the distribution of saltwater, such as geochemical characterization, borehole geophysical information, and geochronology.
\nIsochlor maps for this study are limited to manual interpretations of the 250-milligram per liter (mg/L) and 10,000-mg/L boundaries developed for 9 of the 10 regional aquifers that constitute the regional hydrogeologic framework of the Northern Atlantic Coastal Plain. For a given aquifer, the approach was to initially consider published isochlor interpretations, where available, then to modify the published interpretations, if necessary, to the extent indicated by the well and core samples. The final step was to interpolate isochlors to the full extent of each aquifer layer in areas with sufficient samples or cited interpretations, or to extrapolate isochlors in areas with no samples or where samples were sparse.
\nThe principal limitation of this study is that, because of its regional extent, data and information density can vary greatly, and thus confidence in interpretations can vary widely for onshore and offshore areas across the study area. In areas of sparse data, some samples of elevated chloride could be misinterpreted as being part of a regional elevated chloride trend, and in other cases, an elevated concentration could be misinterpreted as being of only local importance. The interpretive work of this study was applied to a 1:2,000,000 scale base map. Locations of isochlors, wells, cores, political boundaries, and shorelines are meant to be considered approximate.
\nThe isochlors presented in this study were manually interpreted for each aquifer unit as a conceptual representation of an equal concentration line approximately in the middle of an aquifer’s thickness. Differences in chloride concentration lines between the top and bottom of an aquifer could be substantial, especially for the thick parts of aquifers, but that information is not presented in this regional assessment.
\nAlthough additional offshore chloride data are available compared to 27 years ago (1989), the offshore information remains sparse, resulting in less confidence in the offshore interpretations than in the onshore interpretations. Regionally, the 250- and 10,000-mg/L isochlors tend to map progressively eastward from the deepest to the shallowest aquifers across the Northern Atlantic Coastal Plain aquifer system but with some exceptions. The additional data, conceptual understanding, and interpretations in the vicinity of the buried Chesapeake Bay impact structure in eastern Virginia resulted in substantial refinement of isochlors in that area. Overall, the interpretations in this study are updates of the previous regional study from 1989 but do not comprise major differences in interpretation and do not indicate regional movement of the freshwater-saltwater interface since then.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165034","usgsCitation":"Charles, E.G., 2016, Regional chloride distribution in the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to North Carolina: U.S. Geological Survey Scientific Investigations Report 2016–5034, 37 p., appendixes, https://dx.doi.org/10.3133/sir20165034.","productDescription":"Report: v, 35 p.; Appendixes: 1 and 2; Data Releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068551","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":326322,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1829","text":"Professional Paper 1829 - ","description":"SIR 2016-5034","linkHelpText":"Assessment of Groundwater Availability in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326324,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20163046","text":"Fact Sheet 2016–3046 - ","description":"SIR 2016-5034","linkHelpText":"Sustainability of Groundwater Supplies in the Northern Atlantic Coastal Plain Aquifer System "},{"id":326323,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ds996","text":"Data Series 996 - ","description":"SIR 2016-5034","linkHelpText":"Digital Elevations and Extents of Regional Hydrogeologic Units in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326321,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165076","text":"Scientific Investigations Report 2016–5076 -","description":"SIR 2016-5034","linkHelpText":"Documentation of a Groundwater Flow Model Developed To Assess Groundwater Availability in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":327881,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5034/sir20165034_appendix1.zip","text":"Appendix 1 - 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U.S. Geological Survey
150 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://water.usgs.gov/wausp/
The U.S. Geological Survey began a multiyear regional assessment of groundwater availability in the Northern Atlantic Coastal Plain (NACP) aquifer system in 2010 as part of its ongoing regional assessments of groundwater availability of the principal aquifers of the Nation. The goals of this national assessment are to document effects of human activities on water levels and groundwater storage, explore climate variability effects on the regional water budget, and provide consistent and integrated information that is useful to those who use and manage the groundwater resource. As part of this nationwide assessment, the USGS evaluated available groundwater resources within the NACP aquifer system from Long Island, New York, to northeastern North Carolina.
The northern Atlantic Coastal Plain physiographic province depends heavily on groundwater to meet agricultural, industrial, and municipal needs. The groundwater assessment of the NACP aquifer system included an evaluation of how water use has changed over time; this evaluation primarily used groundwater budgets and development of a numerical modeling tool to assess system responses to stresses from future human uses and climate trends.
This assessment focused on multiple spatial and temporal scales to examine changes in groundwater pumping, storage, and water levels. The regional scale provides a broad view of the sources and demands on the system with time. The sub-regional scale provides an evaluation of the differing response of the aquifer system across geographic areas allowing for closer examination of the interaction between different aquifers and confining units and the changes in these interactions under pumping and recharge conditions in 2013 and hydrologic stresses as much as 45 years in the future. By focusing on multiple scales, water-resource managers may utilize this study to understand system response to changes as they affect the system as a whole.
The NACP aquifer system extends from Long Island to northeastern North Carolina, and includes aquifers primarily within New York, New Jersey, Delaware, Maryland, Virginia, and North Carolina. The seaward-dipping sedimentary wedge that underlies the northern Atlantic Coastal Plain physiographic province forms a complex groundwater system. Although the NACP aquifer system is recognized by the U.S. Geological Survey as one of the smallest of the 66 principal aquifer systems in the Nation, it ranks 13th overall in terms of total groundwater withdrawals and is 7th in population served. Despite abundant precipitation [about 45 inches per year (in/yr)], the supply of fresh surface water in this region is limited because many of the surface waters in this area are brackish estuaries, contributing to why many communities in the northern Atlantic Coastal Plain physiographic province rely heavily on groundwater to meet their water needs.
Increases in population and changes in land use during the past 100 years have resulted in diverse increased demands for freshwater throughout the northern Atlantic Coastal Plain physiographic province with groundwater serving as a vital source of drinking water for the nearly 20 million people who live in the region. Total groundwater withdrawal in 2013 was estimated to be about 1,300 million gallons per day (Mgal/d) and accounts for about 40 percent of the drinking water supply with the densely populated areas tending to have the highest rates of withdrawals and, therefore, being most susceptible to effects from these withdrawals over time.
Water levels in many of the confined aquifers are decreasing by as much as 2 feet per year (ft/yr) in response to extensive development and subsequent increased withdrawals throughout the region. Total water-level decreases (drawdowns) are more than 100 feet (ft) in some aquifers from their predevelopment (before 1900) levels. These drawdowns extend across state lines and under the Chesapeake and Delaware Bays, creating the potential for interstate aquifer management issues. Regional water-resources managers in the northern Atlantic Coastal Plain physiographic province face challenges beyond competing local domestic, industrial, agricultural, and environmental demands for water. Large changes in regional water use have made the State-level management of aquifer resources more difficult because of hydrologic effects that extend beyond State boundaries.
The northern Atlantic Coastal Plain physiographic province is underlain by a wedge of unconsolidated to partially consolidated sediments that are typically thousands of feet thick along the coastline with a maximum thickness of about 10,000 ft near the edge of the continental shelf. The NACP aquifer system consists of nine confined aquifers and nine confining units capped by an unconfined surficial aquifer that is bounded laterally from the west by the contact between Coastal Plain sediments and the upland Piedmont bedrock. This aquifer system extends to the east to the limit of the Continental Shelf, however, the boundary between fresh and saline groundwater is considered to be much closer to the shoreline and varies vertically by aquifer.
Precipitation over the region for average conditions from 2005 to 2009 is about 61,800 Mgal/d, but about 70 percent of it is lost to evapotranspiration resulting in an inflow of about 19,600 Mgal/d entering the groundwater system as aquifer recharge. Most of this recharge enters the aquifer system and flows through the shallow unconfined aquifer and either discharges to streams or directly to coastal waters without reaching the deep, confined aquifer system. In addition to recharge from precipitation, other sources of water include the return of wastewater from domestic septic systems of about 240 Mgal/d, about 60 Mgal/d of water released from storage in the confined system, and about 30 Mgal/d of lateral inflow at the boundary between freshwater and saltwater in response to pumping for conditions in 2013.
The outflow needed to balance the inflows was subdivided between streamflow, discharge to tidal portions of streams, and coastal discharge. The hydrologic budget developed for current [2013] conditions determined that 93 percent of the total outflow was to surface waters with about 70 percent divided evenly between streamflow and shallow coastal discharge and 23 percent as discharge to tidal waters. The remaining 7 percent of the total outflow components include withdrawals from both the surficial and confined aquifers of the groundwater system.
The groundwater availability assessment of the NACP aquifer system highlights the importance of analyses at both the regional and local scales to understand how changes in land use, water use, and climate have affected groundwater resources and how these resources may change in the future. The investigation included assessments of the regional changes in water levels and budgets across State lines, the importance of considering storage change in the confining units, the response of the aquifer system to a continuation of current [2013] hydrologic stresses into the future, and the potential effects of climate change and sea-level rise on the aquifer system.
The Potomac aquifer group includes two of the most widely used aquifers in the NACP aquifer system, the Potomac-Patapsco and Potomac-Patuxent regional aquifers, providing about 24 percent of the total groundwater used in the region. Withdrawals from large pumping centers in this deep, confined aquifer group have resulted in substantial decreases in water-levels across state lines, particularly between southern Virginia and northeastern North Carolina as well as between southern New Jersey and northern Delaware where water levels in the Potomac-Patapsco aquifer have decreased by as much as 200 ft and 50 ft, respectively from predevelopment to current [2013] conditions. This response in water levels also is reflected in changes in water budgets where, for example, about 20 percent of the total response to pumping in Virginia is met by inducing flow from adjacent States. Understanding and quantifying these hydrologic effects that extend beyond State boundaries is critical for the State- and regional-level management of aquifer resources.
The cumulative storage loss from the intervening confining units throughout the entire NACP aquifer system was about 35 percent of the total storage loss from predevelopment to current [2013] conditions. In geographic areas such as Delmarva Peninsula, Maryland, and New Jersey, the water released from storage in the confining units makes up the majority of the total storage release from the groundwater system and is becoming proportionally more important over time as the surficial aquifer approaches equilibrium with respect to pumping and recharge stresses as of 2013.
Storage loss from the confining units is of particular concern because, unlike in the sands that comprise the confined aquifers, water removed from the clayey confining unit sediments cannot be replenished as these units gradually compress. This non-recoverable storage loss, if great enough, can result in land subsidence where these units are thick and the release from storage is relatively large and contributes to increased concerns for sea-level rise in areas such as the lower portion of the Chesapeake Bay.
Groundwater usage increased dramatically in the NACP aquifer system during post-World War II era from the mid-1940s to early the 1980s, with withdrawals increasing from about 400 Mgal/d to more than 1,300 Mgal/d. Although groundwater withdrawals have been relatively constant since the early 1980s, about half of the total groundwater withdrawn from the NACP aquifer system since 1900 was withdrawn in the past 30 years. An analysis of the response of the groundwater system to a continuation of the current [2013] pumping for an additional 30 years into the future shows that the flow system continues to adjust in terms of changes in water budget components, water levels, and the boundary between freshwater and saltwater as it approaches equilibrium. The largest change in water budget components is the reduction in the amount of water released from storage.
Across the entire NACP aquifer system, the reduction of storage release from 7 to 4 percent of the total water budget change is accounted for by reductions in groundwater discharge to streams and coastal waters. Locally, a similar response is calculated for each of the geographic areas except for Virginia where the amount of water released from storage accounts for about 25 percent of the total change in water budget. This finding suggests that the groundwater flow system in Virginia is not approaching equilibrium under the current [2013] stresses and, therefore, water levels will continue to decrease even if the pumping remains constant.
An analysis of the change in water levels in the Potomac-Patapsco aquifer as pumping is continued 30 years into the future reveals that the largest decreases in water levels throughout the NACP aquifer system will occur in the southern Virginia and northeastern North Carolina parts of the study area. It is these areas that also see the greatest potential for increased lateral movement of saline groundwater in the deep, confined portion of the groundwater flow system in response to a continuation of the current [2013] pumping rates.
The potential effects of long-term climate change and variability on the hydrologic system and availability of water resources in the NACP aquifer system continue to be of serious societal concern. These concerns include the effects of changes in aquifer recharge and in sea-level rise on the groundwater flow system. An assessment of the potential effects of a prolonged drought during current [2013] pumping conditions indicated that the reductions in recharge associated with droughts, including additional irrigation withdrawals required to meet increased crop water demand, have the greatest effects on water levels and streamflows in the surficial aquifer, and changes in water levels in the confined aquifers primarily resulted from the increased withdrawals associated with increased irrigation pumping; this response was most apparent in the Delmarva Peninsula. These results suggest that water levels may not be susceptible to the effects of droughts in the confined aquifers of the NACP aquifer system not used for irrigation, unlike in the unconfined surficial aquifer.
A second analysis also was conducted to assess the effects of sea-level rise on the groundwater system throughout the northern Atlantic Coastal Plain physiographic province because recent analyses of the relative rates of sea-level rise along the Atlantic coast indicate that the Mid-Atlantic region represents a hot spot with anomalously higher rates of sea-level rise than observed elsewhere in the United States. Groundwater levels rose from 0 to 3 ft in response to a 3-ft simulated change in sea-level position, with the largest response occurring along the shoreline and away from non-tidal streams. About 37 percent (or 10,000 square miles) of the area of the northern Atlantic Coastal Plain physiographic province may experience about a 0.5-ft or more increase in water levels with the 3-ft increase in sea-level position, whereas about 18 percent (almost 5,000 square miles) of land of the northern Atlantic Coastal Plain physiographic province may experience a 2-ft or more increase in water levels with the 3-ft increase in sea-level position.
These increases in the water table are of particular concern in low-lying areas where the unsaturated (vadose) zone is already thin, thus creating concerns for groundwater inundation of subsurface infrastructure, such as basements, septic systems, and subway systems. This increase in the water table also will likely alter the distribution of groundwater discharge to surface-water bodies thus increasing groundwater flow to streams that would have otherwise discharged directly to coastal waters. Throughout the NACP aquifer system, this redistribution of groundwater discharge results in an additional 2 percent of base flow in streams. Although the increases in groundwater discharge to streams (and corresponding decreases in discharge to coastal waters) calculated for the entire NACP aquifer system and its geographic areas represent only a small increase compared with current [2013] conditions, this redistribution of groundwater discharge from the coast to streams locally can alter the delivery of freshwater input to coastal receiving waters and have ecohydrological implications on the sensitive ecosystems which rely on a balance of groundwater discharge and surface-water flow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1829","usgsCitation":"Masterson, J.P., Pope, J.P., Fienen, M.N., Monti, Jack, Jr., Nardi, M.R., and Finkelstein, J.S., 2016, Assessment of groundwater availability in the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to North Carolina: U.S. Geological Survey Professional Paper 1829, 76 p., https://dx.doi.org/10.3133/pp1829.","productDescription":"Report: ix, 76 p.; Data Releases","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-067132","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":326315,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165076","text":"Scientific Investigations Report 2016–5076 -","description":"PP 1829","linkHelpText":"Documentation of a Groundwater Flow Model Developed To Assess Groundwater Availability in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326316,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165034","text":"Scientific Investigations Report 2016–5034 -","description":"PP 1829","linkHelpText":"Regional Chloride Distribution in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326318,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20163046","text":"Fact Sheet 2016–3046 -","description":"PP 1829","linkHelpText":"Sustainability of Groundwater Supplies in the Northern Atlantic Coastal Plain Aquifer System"},{"id":326317,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ds996","text":"Data Series 996 -","description":"PP 1829","linkHelpText":"Digital Elevations and Extents of Regional Hydrogeologic Units in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326314,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1829/pp1829.pdf","text":"Report","size":"11.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1829"},{"id":326886,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F70V89WN","text":"USGS data release","description":"USGS data release","linkHelpText":"Digital elevations and extents of hydrogeologic units"},{"id":326313,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1829/coverthb.jpg"},{"id":327883,"rank":9,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/wausp/","text":"USGS Water Availability and Use Science Program","description":"Project Site"},{"id":326885,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7MG7MKR","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-NWT model"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, North Carolina, Virginia","otherGeospatial":"Northern Atlantic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {\n \"stroke\": \"#555555\",\n \"stroke-width\": 2,\n \"stroke-opacity\": 1,\n \"fill\": \"#555555\",\n \"fill-opacity\": 0.5\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.57568359375,\n 41.32732632036622\n ],\n [\n -71.630859375,\n 41.343824581185686\n ],\n [\n -71.21337890625,\n 41.261291493919856\n ],\n [\n -71.015625,\n 41.0130657870063\n ],\n [\n -71.30126953124999,\n 40.88029480552824\n ],\n [\n -71.78466796874999,\n 40.04443758460859\n ],\n [\n -72.6416015625,\n 38.37611542403604\n ],\n [\n -73.32275390625,\n 37.317751851636906\n ],\n [\n -73.564453125,\n 36.4566360115962\n ],\n [\n -74.06982421875,\n 35.15584570226544\n ],\n [\n -75.16845703124999,\n 34.939985151560435\n ],\n [\n -76.92626953125,\n 35.585851593232356\n ],\n [\n -77.2998046875,\n 36.26199220445664\n ],\n [\n -77.27783203125,\n 37.37015718405753\n ],\n [\n -76.81640625,\n 38.75408327579141\n ],\n [\n -75.7177734375,\n 39.757879992021756\n ],\n [\n -75.21240234375,\n 40.26276066437183\n ],\n [\n -74.8828125,\n 40.613952441166596\n ],\n [\n -74.6630859375,\n 40.6639728763869\n ],\n [\n -74.35546875,\n 40.78054143186031\n ],\n [\n -74.1357421875,\n 40.79717741518769\n ],\n [\n -73.89404296875,\n 40.830436877649255\n ],\n [\n -73.54248046875,\n 40.9964840143779\n ],\n [\n -73.19091796875,\n 41.1455697310095\n ],\n [\n -72.57568359375,\n 41.32732632036622\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Water Availability and Use Science Program
U.S. Geological Survey
150 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://water.usgs.gov/wausp/
The U.S. Geological Survey developed a groundwater flow model for the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to northeastern North Carolina as part of a detailed assessment of the groundwater availability of the area and included an evaluation of how these resources have changed over time from stresses related to human uses and climate trends. The assessment was necessary because of the substantial dependency on groundwater for agricultural, industrial, and municipal needs in this area.
The three-dimensional, groundwater flow model developed for this investigation used the numerical code MODFLOW–NWT to represent changes in groundwater pumping and aquifer recharge from predevelopment (before 1900) to future conditions, from 1900 to 2058. The model was constructed using existing hydrogeologic and geospatial information to represent the aquifer system geometry, boundaries, and hydraulic properties of the 19 separate regional aquifers and confining units within the Northern Atlantic Coastal Plain aquifer system and was calibrated using an inverse modeling parameter-estimation (PEST) technique.
The parameter estimation process was achieved through history matching, using observations of heads and flows for both steady-state and transient conditions. A total of 8,868 annual water-level observations from 644 wells from 1986 to 2008 were combined into 29 water-level observation groups that were chosen to focus the history matching on specific hydrogeologic units in geographic areas in which distinct geologic and hydrologic conditions were observed. In addition to absolute water-level elevations, the water-level differences between individual measurements were also included in the parameter estimation process to remove the systematic bias caused by missing hydrologic stresses prior to 1986. The total average residual of –1.7 feet was normally distributed for all head groups, indicating minimal bias. The average absolute residual value of 12.3 feet is about 3 percent of the total observed water-level range throughout the aquifer system.
Streamflow observation data of base flow conditions were derived for 153 sites from the U.S. Geological Survey National Hydrography Dataset Plus and National Water Information System. An average residual of about –8 cubic feet per second and an average absolute residual of about 21 cubic feet per second for a range of computed base flows of about 417 cubic feet per second were calculated for the 122 sites from the National Hydrography Dataset Plus. An average residual of about 10 cubic feet per second and an average absolute residual of about 34 cubic feet per second were calculated for the 568 flow measurements in the 31 sites obtained from the National Water Information System for a range in computed base flows of about 1,141 cubic feet per second.
The numerical representation of the hydrogeologic information used in the development of this regional flow model was dependent upon how the aquifer system and simulated hydrologic stresses were discretized in space and time. Lumping hydraulic parameters in space and hydrologic stresses and time-varying observational data in time can limit the capabilities of this tool to simulate how the groundwater flow system responds to changes in hydrologic stresses, particularly at the local scale.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165076","usgsCitation":"Masterson, J.P., Pope, J.P., Fienen, M.N., Monti, Jack Jr., Nardi, M.R., and Finkelstein, J.S., 2016, Documentation of a groundwater flow model developed to assess groundwater availability in the Northern Atlantic Coastal Plain aquifer system from Long Island, New York, to North Carolina (ver. 1.1, December 2016): U.S. Geological Survey Scientific Investigations Report 2016–5076, 70 p., https://dx.doi.org/10.3133/sir20165076.","productDescription":"Report: vi, 70 p.; Data Releases","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070585","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":326329,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20163046","text":"Fact Sheet 2016–3046 - ","description":"SIR 2016-5076","linkHelpText":"Sustainability of Groundwater Supplies in the Northern Atlantic Coastal Plain Aquifer System "},{"id":326328,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ds996","text":"Data Series 996 -","description":"SIR 2016-5076","linkHelpText":"Digital Elevations and Extents of Regional Hydrogeologic Units in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326327,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165034","text":"Scientific Investigations Report 2016–5034 - ","description":"SIR 2016-5076","linkHelpText":"Regional Chloride Distribution in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326330,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1829","text":"Professional Paper 1829 - ","description":"SIR 2016-5076","linkHelpText":"Assessment of Groundwater Availability in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":332513,"rank":10,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5076/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":326839,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7MG7MKR","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-NWT model"},{"id":326325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5076/coverthb2.jpg"},{"id":327889,"rank":9,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/wausp/","text":"USGS Water Availability and Use Science Program","description":"Project Site"},{"id":326840,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F70V89WN","text":"USGS data release","description":"USGS data release","linkHelpText":"Digital elevations and extents of hydrogeologic units"},{"id":326326,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5076/sir20165076.pdf","text":"Report","size":"26.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5076"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, North Carolina, Virginia","otherGeospatial":"Northern Atlantic Coastal Plain aquifer system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.71875,\n 41.244772343082104\n ],\n [\n -72.861328125,\n 41.22824901518532\n ],\n [\n -73.93798828125,\n 40.830436877649255\n ],\n [\n -75.78369140625,\n 39.707186656826565\n ],\n [\n -77.080078125,\n 38.94232097947902\n ],\n [\n -77.62939453125,\n 38.39333888832238\n ],\n [\n -77.62939453125,\n 37.56199695314352\n ],\n [\n -77.5634765625,\n 36.82687474287728\n ],\n [\n -78.02490234375,\n 35.88905007936091\n ],\n [\n -75.6298828125,\n 34.63320791137959\n ],\n [\n -74.4873046875,\n 36.06686213257888\n ],\n [\n -71.103515625,\n 40.64730356252251\n ],\n [\n -71.71875,\n 41.244772343082104\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted August 31, 2016; Version 1.1: December 23, 2016","publicComments":"Version 1.1","contact":"Water Availability and Use Science Program
U.S. Geological Survey
150 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://water.usgs.gov/wausp/
Groundwater is the Nation’s principal reserve of freshwater. It provides about half our drinking water, is essential to food production, and facilitates business and industry in developing economic well-being. Groundwater is also an important source of water for sustaining the ecosystem health of rivers, wetlands, and estuaries throughout the country. The decreases in groundwater levels and other effects of pumping that result from large-scale development of groundwater resources have led to concerns about the future availability of groundwater to meet all our Nation’s needs. Assessments of groundwater availability provide the science and information needed by the public and decision makers to manage water resources and use them responsibly.
\nThe U.S. Geological Survey (USGS) is conducting large-scale multidisciplinary regional studies of groundwater availability as part of its ongoing assessments of the principal aquifers of the Nation. These regional studies are intended to provide citizens, communities, and natural resource managers with knowledge of the status of the Nation’s groundwater resources and how changes in land use, water use, and climate have affected and are likely to affect those resources now and in the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163046","usgsCitation":"Masterson, J.P., and Pope, J.P., 2016, Sustainability of groundwater supplies in the Northern Atlantic Coastal Plain aquifer system: U.S. Geological Survey Fact Sheet 2016–3046, 6 p., https://dx.doi.org/10.3133/fs20163046.","productDescription":"Report: 6 p.; Data Releases","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-071395","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":326349,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165076","text":"Scientific Investigations Report 2016–5076 -","description":"FS 2016-3046","linkHelpText":"Documentation of a Groundwater Flow Model Developed To Assess Groundwater Availability in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326348,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165034","text":"Scientific Investigations Report 2016–5034 -","description":"FS 2016-3046","linkHelpText":"Regional Chloride Distribution in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326347,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1829","text":"Professional Paper 1829 -","description":"FS 2016-3046","linkHelpText":"Assessment of Groundwater Availability in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326346,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ds996","text":"Data Series 996 -","description":"FS 2016-3046","linkHelpText":"Digital Elevations and Extents of Regional Hydrogeologic Units in the Northern Atlantic Coastal Plain Aquifer System From Long Island, New York, to North Carolina"},{"id":326345,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3046/fs20163046.pdf","text":"Report","size":"2.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3046"},{"id":326344,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3046/coverthb.jpg"},{"id":326845,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7MG7MKR","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-NWT model"},{"id":326846,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F70V89WN","text":"USGS data release","description":"USGS data release","linkHelpText":"Digital elevations and extents of hydrogeologic units"},{"id":327885,"rank":9,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/wausp/","text":"USGS Water Availability and Use Science Program","description":"Project Site"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.71875,\n 41.244772343082104\n ],\n [\n -72.861328125,\n 41.22824901518532\n ],\n [\n -73.93798828125,\n 40.830436877649255\n ],\n [\n -75.78369140625,\n 39.707186656826565\n ],\n [\n -77.080078125,\n 38.94232097947902\n ],\n [\n -77.62939453125,\n 38.39333888832238\n ],\n [\n -77.62939453125,\n 37.56199695314352\n ],\n [\n -77.5634765625,\n 36.82687474287728\n ],\n [\n -78.02490234375,\n 35.88905007936091\n ],\n [\n -75.6298828125,\n 34.63320791137959\n ],\n [\n -74.4873046875,\n 36.06686213257888\n ],\n [\n -71.103515625,\n 40.64730356252251\n ],\n [\n -71.71875,\n 41.244772343082104\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Water Availability and Use Science Program
U.S. Geological Survey
150 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://water.usgs.gov/wausp/
We assess erosion and flooding risk in the northern Gulf of Mexico by identifying interdependencies among oceanographic drivers and probabilistically modeling the resulting potential for coastal change. Wave and water level observations are used to determine relationships between six hydrodynamic parameters that influence total water level and therefore erosion and flooding, through consideration of a wide range of univariate distribution functions and multivariate elliptical copulas. Using these relationships, we explore how different our interpretation of the present-day erosion/flooding risk could be if we had seen more or fewer extreme realizations of individual and combinations of parameters in the past by simulating 10,000 physically and statistically consistent sea-storm time series. We find that seasonal total water levels associated with the 100 year return period could be up to 3 m higher in summer and 0.6 m higher in winter relative to our best estimate based on the observational records. Impact hours of collision and overwash—where total water levels exceed the dune toe or dune crest elevations—could be on average 70% (collision) and 100% (overwash) larger than inferred from the observations. Our model accounts for non-stationarity in a straightforward, non-parametric way that can be applied (with little adjustments) to many other coastlines. The probabilistic model presented here, which accounts for observational uncertainty, can be applied to other coastlines where short record lengths limit the ability to identify the full range of possible wave and water level conditions that coastal mangers and planners must consider to develop sustainable management strategies.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2015JC011482","usgsCitation":"Plant, N.G., Wahl, T., and Long, J.W., 2016, Probabilistic assessment of erosion and flooding risk in the northern Gulf of Mexico: Journal of Geophysical Research C: Oceans, v. 121, no. 5, p. 3029-3043, https://doi.org/10.1002/2015JC011482.","productDescription":"15 p.","startPage":"3029","endPage":"3043","ipdsId":"IP-070871","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470631,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.soton.ac.uk/393754/2/pdf","text":"External Repository"},{"id":328093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-13","publicationStatus":"PW","scienceBaseUri":"57c7f1abe4b0f2f0cebf11ad","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":647454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, Thomas","contributorId":141017,"corporation":false,"usgs":false,"family":"Wahl","given":"Thomas","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":647455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":647456,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176157,"text":"70176157 - 2016 - Model calibration criteria for estimating ecological flow characteristics","interactions":[],"lastModifiedDate":"2018-04-02T15:27:59","indexId":"70176157","displayToPublicDate":"2016-08-31T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Model calibration criteria for estimating ecological flow characteristics","docAbstract":"Quantification of streamflow characteristics in ungauged catchments remains a challenge. Hydrological modeling is often used to derive flow time series and to calculate streamflow characteristics for subsequent applications that may differ from those envisioned by the modelers. While the estimation of model parameters for ungauged catchments is a challenging research task in itself, it is important to evaluate whether simulated time series preserve critical aspects of the streamflow hydrograph. To address this question, seven calibration objective functions were evaluated for their ability to preserve ecologically relevant streamflow characteristics of the average annual hydrograph using a runoff model, HBV-light, at 27 catchments in the southeastern United States. Calibration trials were repeated 100 times to reduce parameter uncertainty effects on the results, and 12 ecological flow characteristics were computed for comparison. Our results showed that the most suitable calibration strategy varied according to streamflow characteristic. Combined objective functions generally gave the best results, though a clear underprediction bias was observed. The occurrence of low prediction errors for certain combinations of objective function and flow characteristic suggests that (1) incorporating multiple ecological flow characteristics into a single objective function would increase model accuracy, potentially benefitting decision-making processes; and (2) there may be a need to have different objective functions available to address specific applications of the predicted time series.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hydro-ecological modeling","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"MDPI","isbn":"978-3-03842-212-9","usgsCitation":"Vis, M., Knight, R., Poole, S., Wolfe, W.J., and Seibert, J., 2016, Model calibration criteria for estimating ecological flow characteristics, chap. of Hydro-ecological modeling, p. 256-281.","productDescription":"26 p.","startPage":"256","endPage":"281","ipdsId":"IP-079269","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":328094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328058,"type":{"id":15,"text":"Index Page"},"url":"https://www.mdpi.com/books/pdfview/book/215"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7f1aae4b0f2f0cebf11ab","contributors":{"editors":[{"text":"Breuer, Lutz","contributorId":174162,"corporation":false,"usgs":false,"family":"Breuer","given":"Lutz","email":"","affiliations":[],"preferred":false,"id":647594,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Kraft, Philipp","contributorId":174163,"corporation":false,"usgs":false,"family":"Kraft","given":"Philipp","email":"","affiliations":[],"preferred":false,"id":647595,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Vis, Marc","contributorId":174146,"corporation":false,"usgs":false,"family":"Vis","given":"Marc","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":647510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Rodney 0000-0001-9588-0167 rrknight@usgs.gov","orcid":"https://orcid.org/0000-0001-9588-0167","contributorId":152422,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney","email":"rrknight@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poole, Sandra","contributorId":174147,"corporation":false,"usgs":false,"family":"Poole","given":"Sandra","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":647511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":174054,"corporation":false,"usgs":true,"family":"Wolfe","given":"William","email":"wjwolfe@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seibert, Jan","contributorId":176322,"corporation":false,"usgs":false,"family":"Seibert","given":"Jan","email":"","affiliations":[],"preferred":false,"id":647513,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175747,"text":"70175747 - 2016 - Methods for exploring uncertainty in groundwater management predictions","interactions":[],"lastModifiedDate":"2016-09-01T13:13:07","indexId":"70175747","displayToPublicDate":"2016-08-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Methods for exploring uncertainty in groundwater management predictions","docAbstract":"Models of groundwater systems help to integrate knowledge about the natural and human system covering different spatial and temporal scales, often from multiple disciplines, in order to address a range of issues of concern to various stakeholders. A model is simply a tool to express what we think we know. Uncertainty, due to lack of knowledge or natural variability, means that there are always alternative models that may need to be considered. This chapter provides an overview of uncertainty in models and in the definition of a problem to model, highlights approaches to communicating and using predictions of uncertain outcomes and summarises commonly used methods to explore uncertainty in groundwater management predictions. It is intended to raise awareness of how alternative models and hence uncertainty can be explored in order to facilitate the integration of these techniques with groundwater management.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated groundwater management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-23576-9_28","isbn":"978-3-319-23575-2","usgsCitation":"Guillaume, J.H., Hunt, R.J., Comunian, A., Fu, B., and Blakers, R.S., 2016, Methods for exploring uncertainty in groundwater management predictions, chap. of Integrated groundwater management, p. 711-737, https://doi.org/10.1007/978-3-319-23576-9_28.","productDescription":"27 p.","startPage":"711","endPage":"737","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057337","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":488538,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_28","text":"Publisher Index Page"},{"id":328111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7f1a9e4b0f2f0cebf11a9","contributors":{"editors":[{"text":"Jakeman, Anthony J. 0000-0001-5282-2215","orcid":"https://orcid.org/0000-0001-5282-2215","contributorId":173848,"corporation":false,"usgs":false,"family":"Jakeman","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":647604,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Barreteau, Olivier","contributorId":173849,"corporation":false,"usgs":false,"family":"Barreteau","given":"Olivier","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":647605,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647606,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rinaudo, Jean-Daniel","contributorId":173850,"corporation":false,"usgs":false,"family":"Rinaudo","given":"Jean-Daniel","email":"","affiliations":[{"id":27302,"text":"BRGM (France)","active":true,"usgs":false}],"preferred":false,"id":647607,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Ross, Andrew","contributorId":173851,"corporation":false,"usgs":false,"family":"Ross","given":"Andrew","email":"","affiliations":[{"id":13328,"text":"UNESCO-IHE","active":true,"usgs":false}],"preferred":false,"id":647608,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Guillaume, Joseph H. A.","contributorId":173856,"corporation":false,"usgs":false,"family":"Guillaume","given":"Joseph","email":"","middleInitial":"H. A.","affiliations":[{"id":6718,"text":"Aalto University, Finland","active":true,"usgs":false}],"preferred":false,"id":646295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Comunian, Alessandro","contributorId":173857,"corporation":false,"usgs":false,"family":"Comunian","given":"Alessandro","email":"","affiliations":[{"id":27304,"text":"University of New South Wales","active":true,"usgs":false}],"preferred":false,"id":646296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fu, Baihua 0000-0003-2494-0518","orcid":"https://orcid.org/0000-0003-2494-0518","contributorId":174165,"corporation":false,"usgs":false,"family":"Fu","given":"Baihua","email":"","affiliations":[],"preferred":false,"id":647603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blakers, Rachel S","contributorId":173858,"corporation":false,"usgs":false,"family":"Blakers","given":"Rachel","email":"","middleInitial":"S","affiliations":[{"id":27305,"text":"Australia National University","active":true,"usgs":false}],"preferred":false,"id":646297,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}