{"pageNumber":"468","pageRowStart":"11675","pageSize":"25","recordCount":69041,"records":[{"id":70160493,"text":"70160493 - 2016 - Integrated groundwater data management","interactions":[],"lastModifiedDate":"2017-04-17T14:45:30","indexId":"70160493","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Integrated groundwater data management","docAbstract":"

The goal of a data manager is to ensure that data is safely stored, adequately described, discoverable and easily accessible. However, to keep pace with the evolution of groundwater studies in the last decade, the associated data and data management requirements have changed significantly. In particular, there is a growing recognition that management questions cannot be adequately answered by single discipline studies. This has led a push towards the paradigm of integrated modeling, where diverse parts of the hydrological cycle and its human connections are included. This chapter describes groundwater data management practices, and reviews the current state of the art with enterprise groundwater database management systems. It also includes discussion on commonly used data management models, detailing typical data management lifecycles. We discuss the growing use of web services and open standards such as GWML and WaterML2.0 to exchange groundwater information and knowledge, and the need for national data networks. We also discuss cross-jurisdictional interoperability issues, based on our experience sharing groundwater data across the US/Canadian border. Lastly, we present some future trends relating to groundwater data management.

","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_26","isbn":"978-3-319-23575-2","usgsCitation":"Fitch, P., Brodaric, B., Stenson, M., and Booth, N., 2016, Integrated groundwater data management, chap. of Integrated groundwater management, p. 667-692, https://doi.org/10.1007/978-3-319-23576-9_26.","productDescription":"26 p.","startPage":"667","endPage":"692","ipdsId":"IP-057014","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":488592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_26","text":"Publisher Index Page"},{"id":339814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d440e4b0f2e20545e413","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":691268,"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":691269,"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":691270,"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":691271,"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":691272,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Fitch, Peter","contributorId":150765,"corporation":false,"usgs":false,"family":"Fitch","given":"Peter","email":"","affiliations":[{"id":18100,"text":"Commonwealth Scientific Research Organisation","active":true,"usgs":false}],"preferred":false,"id":583002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodaric, Boyan","contributorId":80341,"corporation":false,"usgs":true,"family":"Brodaric","given":"Boyan","affiliations":[],"preferred":false,"id":583003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenson, Matt","contributorId":150766,"corporation":false,"usgs":false,"family":"Stenson","given":"Matt","email":"","affiliations":[{"id":18100,"text":"Commonwealth Scientific Research Organisation","active":true,"usgs":false}],"preferred":false,"id":583004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, Nathaniel 0000-0001-6040-1031 nlbooth@usgs.gov","orcid":"https://orcid.org/0000-0001-6040-1031","contributorId":140641,"corporation":false,"usgs":true,"family":"Booth","given":"Nathaniel","email":"nlbooth@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":583001,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168512,"text":"70168512 - 2016 - Does the stress-gradient hypothesis hold water? Disentangling spatial and temporal variation in plant effects on soil moisture in dryland systems","interactions":[],"lastModifiedDate":"2016-02-18T09:24:52","indexId":"70168512","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Does the stress-gradient hypothesis hold water? Disentangling spatial and temporal variation in plant effects on soil moisture in dryland systems","docAbstract":"
    \n
  1. The nature of the relationship between water limitation and facilitation has been one of the most contentious debates surrounding the stress-gradient hypothesis (SGH), which states that plant-plant interactions shift from competition to facilitation with increasing environmental stress.
    2. \n
  2. We take a closer look at the potential role of soil moisture in mediating plant-plant interaction outcomes by assessing effects of climate and soil texture on plant modulation of soil moisture.
    3. \n
  3. Using an empirically-parameterized soil moisture model, we simulated soil moisture dynamics beneath shrubs and in un-vegetated coarse and fine soils for 1000 sites in the Western United States with <700 mm mean annual precipitation. This threshold reflects the transition from dryland (<600 mm precipitation) to mesic ecosystems.
    4. \n
  4. Positive effects of shrubs on shallow soil moisture (i.e. the difference between shrub and interspace soil moisture) decreased along the aridity gradient when long-term average conditions were considered, contrary to expectations based on the SGH. Negative effects of shrubs on deeper soil moisture also increased with aridity.
    5. \n
  5. However, when extreme years were considered, positive effects of shrub on soil moisture were greatest at intermediate points along the spatial aridity gradient, consistent with a hump-backed model of plant-plant interactions.
    6. \n
  6. When viewed through time within a site, shrub effects on shallow soil moisture were positively related to precipitation, with more complex relationships exhibited in deeper soils
    7. \n
  7. Taken together, the results of this simulation study suggest that plant effects on soil moisture are predictable based on relatively general relationships between precipitation inputs and differential evaporation and transpiration rates between plant and interspace microsites that are largely driven by temperature. In particular, this study highlights the importance of differentiating between temporal and spatial variation in weather and climate, respectively, in determining plant effects on available soil moisture. Rather than focusing on the somewhat coarse-scale predictions of the SGH, it may be more beneficial to explicitly incorporate plant effects on soil moisture into predictive models of plant-plant interaction outcomes in drylands.
    8. \n
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2435.12592","usgsCitation":"Butterfield, B.J., Bradford, J.B., Armas, C., Prieto, I., and Pugnaire, F.I., 2016, Does the stress-gradient hypothesis hold water? Disentangling spatial and temporal variation in plant effects on soil moisture in dryland systems: Functional Ecology, v. 30, p. 10-19, https://doi.org/10.1111/1365-2435.12592.","productDescription":"10 p.","startPage":"10","endPage":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063582","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.12592","text":"Publisher Index Page"},{"id":318124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.669921875,\n 48.28319289548349\n ],\n [\n -93.42773437499999,\n 46.6795944656402\n ],\n 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Basin","interactions":[],"lastModifiedDate":"2019-11-13T15:28:59","indexId":"70164494","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Water data to answer urgent water policy questions: Monitoring design, available data, and filling data gaps for determining whether shale gas development activities contaminate surface water or groundwater in the Susquehanna River Basin","docAbstract":"

Throughout its history, the United States has made major investments in assessing natural resources, such as soils, timber, oil and gas, and water. These investments allow policy makers, the private sector and the American public to make informed decisions about cultivating, harvesting or conserving these resources to maximize their value for public welfare, environmental conservation and the economy. As policy issues evolve, new priorities and challenges arise for natural resource assessment, and new approaches to monitoring are needed. For example, new technologies for oil and gas development or alternative energy sources may present new risks for water resources both above and below ground. There is a need to evaluate whether today’s water monitoring programs are generating the information needed to answer questions surrounding these new policy priorities.

The Northeast-Midwest Institute (NEMWI), in cooperation with the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program, initiated this project to explore the types and amounts of water data needed to address water-quality related policy questions of critical concern to today’s policy makers and whether those data are currently available. The collaborating entities identified two urgent water policy questions and conducted case studies in the Northeast-Midwest region to determine the water data needed, water data available, and the best ways to fill the data gaps relative to those questions. This report details the output from one case study and focuses on the Susquehanna River Basin, a data-rich area expected to be a best-case scenario in terms of water data availability.

","language":"English","publisher":"The Northeast-Midwest Institute","usgsCitation":"Betanzo, E.A., Hagen, E.R., Wilson, J.T., Reckhow, K.H., Hayes, L., Argue, D.M., and Cangelosi, A.A., 2016, Water data to answer urgent water policy questions: Monitoring design, available data, and filling data gaps for determining whether shale gas development activities contaminate surface water or groundwater in the Susquehanna River Basin, xx, 218 p.","productDescription":"xx, 218 p.","numberOfPages":"239","ipdsId":"IP-057020","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":340193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":316674,"type":{"id":15,"text":"Index Page"},"url":"https://www.nemw.org/nemwi-susquehanna-river-basin-shale-gas-development-study-report-files/"}],"country":"United States","state":"Maryland, New York, Pennsylvania","otherGeospatial":"Susquehanna 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reservoirs","interactions":[],"lastModifiedDate":"2017-04-25T10:37:01","indexId":"70168574","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A strategy for low cost development of incremental oil in legacy reservoirs","docAbstract":"

The precipitous decline in oil prices during 2015 has forced operators to search for ways to develop low-cost and low-risk oil reserves. This study examines strategies to low cost development of legacy reservoirs, particularly those which have already implemented a carbon dioxide enhanced oil recovery (CO2 EOR) program. Initially the study examines the occurrence and nature of the distribution of the oil resources that are targets for miscible and near-miscible CO2 EOR programs. The analysis then examines determinants of technical recovery through the analysis of representative clastic and carbonate reservoirs. The economic analysis focusses on delineating the dominant components of investment and operational costs. The concluding sections describe options to maximize the value of assets that the operator of such a legacy reservoir may have that include incremental expansion within the same producing zone and to producing zones that are laterally or stratigraphically near main producing zones. The analysis identified the CO2 recycle plant as the dominant investment cost item and purchased CO2 and liquids management as a dominant operational cost items. Strategies to utilize recycle plants for processing CO2 from multiple producing zones and multiple reservoir units can significantly reduce costs. Industrial sources for CO2 should be investigated as a possibly less costly way of meeting EOR requirements. Implementation of tapered water alternating gas injection schemes can partially mitigate increases in fluid lifting costs.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the SPE/IAEE hydrocarbon economics and evaluation symposium 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SPE/IAEE Hydrocarbon Economics and Evaluation Symposium 2016","conferenceDate":"May 17-18, 2016","conferenceLocation":"Houston, TX","language":"English","publisher":"Society of Petroleum Engineers","publisherLocation":"Richardson, TX","doi":"10.2118/179997-MS","isbn":"9781510831292","usgsCitation":"Attanasi, E., 2016, A strategy for low cost development of incremental oil in legacy reservoirs, in Proceedings of the SPE/IAEE hydrocarbon economics and evaluation symposium 2016, Houston, TX, May 17-18, 2016, p. 636-652, https://doi.org/10.2118/179997-MS.","productDescription":"17 p.","startPage":"636","endPage":"652","ipdsId":"IP-073305","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":340145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-10","publicationStatus":"PW","scienceBaseUri":"58ff0e9ee4b006455f2d61c6","contributors":{"authors":[{"text":"Attanasi, Emil 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":1809,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":620942,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187350,"text":"70187350 - 2016 - Late quaternary changes in lakes, vegetation, and climate in the Bonneville Basin reconstructed from sediment cores from Great Salt Lake: Chapter 11","interactions":[],"lastModifiedDate":"2017-05-01T14:58:24","indexId":"70187350","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Late quaternary changes in lakes, vegetation, and climate in the Bonneville Basin reconstructed from sediment cores from Great Salt Lake: Chapter 11","docAbstract":"

Sediment cores from Great Salt Lake (GSL) provide the basis for reconstructing changes in lakes, vegetation, and climate for the last ~ 40 cal ka. Initially, the coring site was covered by a shallow saline lake and surrounded by Artemisia steppe or steppe-tundra under a cold and dry climate. As Lake Bonneville began to rise (from ~ 30 to 28 cal ka), Pinus and subalpine conifer pollen percentages increased and Artemisia declined, suggesting the onset of wetter conditions. Lake Bonneville oscillated near the Stansbury shoreline between ~ 26 and ~ 24 cal ka, rose to the Bonneville shoreline by ~ 18 cal ka, and then fell to the Provo shoreline, which it occupied until ~ 15 cal ka. Vegetation changed during this time span, albeit not always with the same direction or amplitude as the lake. The pollen percentages of Pinus and subalpine conifers were high from ~ 25 to 21.5 cal ka, indicating cool and moist conditions during the Stansbury oscillation and for much of the rise toward the Bonneville shoreline. Pinus percentages then decreased and Artemisia became codominant, suggesting drier and perhaps colder conditions from ~ 21 to ~ 15 cal ka, when Lake Bonneville was at or near its highest levels.

Lake Bonneville declined to a low level by ~ 13 cal ka, while Pinus pollen percentages increased, indicating that conditions remained cooler and moister than today. During the Younger Dryas interval, the brief Gilbert episode rise in lake level was followed by a shallow lake with a stratified water column. This lake rise occurred as Pinus pollen percentages were declining and those of Artemisia were rising (reflecting increasingly dry conditions), after which Artemisia pollen was at very high levels (suggesting cold and dry conditions) for a brief period.

Since ~ 10.6 cal ka lacustrine conditions have resembled those of present-day GSL. Pollen spectra for the period from ~ 10.6 to 7.2 cal ka have low levels of conifer pollen and high (for the Holocene) levels of desert and steppe taxa, suggesting generally dry conditions with maximum aridity occurring prior to the deposition of the Mazama tephra (~ 7.6 cal ka). After ~ 10.6 cal ka, Juniperus pollen percentages began to increase and by ~ 7.2 cal ka juniper woodlands were well established on lower mountain slopes. From ~ 7 to 4 cal ka, pollen percentages fluctuated near their mean values for the entire Holocene. The neopluvial (~ 4 to 2 cal ka) was the wettest part of the Holocene, with higher levels of Juniperus pollen and lower levels for steppe and desert taxa than in older Holocene sediments. Pollen percentages for the last ~ 2 cal ka are variable, but generally indicate a return to drier conditions.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in earth surface processes: Lake Bonneville — A scientific update","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63590-7.00011-1","usgsCitation":"Thompson, R.S., Oviatt, C.G., Honke, J.S., and McGeehin, J., 2016, Late quaternary changes in lakes, vegetation, and climate in the Bonneville Basin reconstructed from sediment cores from Great Salt Lake: Chapter 11, chap. of Developments in earth surface processes: Lake Bonneville — A scientific update, v. 20, p. 221-291, https://doi.org/10.1016/B978-0-444-63590-7.00011-1.","productDescription":"71 p.","startPage":"221","endPage":"291","ipdsId":"IP-070853","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd58","contributors":{"authors":[{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oviatt, Charles G.","contributorId":36580,"corporation":false,"usgs":false,"family":"Oviatt","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":693579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honke, Jeffrey S. 0000-0003-4357-9297 jhonke@usgs.gov","orcid":"https://orcid.org/0000-0003-4357-9297","contributorId":1616,"corporation":false,"usgs":true,"family":"Honke","given":"Jeffrey","email":"jhonke@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGeehin, John mcgeehin@usgs.gov","contributorId":167455,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":693581,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187360,"text":"70187360 - 2016 - Fidelity and persistence of Ring-billed (Larus delawarensis) and Herring (Larus argentatus) gulls to wintering sites","interactions":[],"lastModifiedDate":"2017-05-01T13:09:34","indexId":"70187360","displayToPublicDate":"2016-01-01T00:00:00","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":"Fidelity and persistence of Ring-billed (Larus delawarensis) and Herring (Larus argentatus) gulls to wintering sites","docAbstract":"

While the breeding ecology of gulls (Laridae) has been well studied, their movements and spatial organization during the non-breeding season is poorly understood. The seasonal movements, winter-site fidelity, and site persistence of Ring-billed (Larus delawarensis) and Herring (L. argentatus) gulls to wintering areas were studied from 2008–2012. Satellite transmitters were deployed on Ring-billed Gulls (n = 21) and Herring Gulls (n = 14). Ten Ring-billed and six Herring gulls were tracked over multiple winters and > 300 wing-tagged Ring-billed Gulls were followed to determine winter-site fidelity and persistence. Home range overlap for individuals between years ranged between 0–1.0 (95% minimum convex polygon) and 0.31–0.79 (kernel utilization distributions). Ringbilled and Herring gulls remained at local wintering sites during the non-breeding season from 20–167 days and 74–161 days, respectively. The probability of a tagged Ring-billed Gull returning to the same site in subsequent winters was high; conversely, there was a low probability of a Ring-billed Gull returning to a different site. Ring-billed and Herring gulls exhibited high winter-site fidelity, but exhibited variable site persistence during the winter season, leading to a high probability of encountering the same individuals in subsequent winters.

","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.sp120","usgsCitation":"Clark, D.E., Koenen, K.K., Whitney, J.J., MacKenzie, K.G., and DeStefano, S., 2016, Fidelity and persistence of Ring-billed (Larus delawarensis) and Herring (Larus argentatus) gulls to wintering sites: Waterbirds, v. 39, no. SP1, p. 220-234, https://doi.org/10.1675/063.039.sp120.","productDescription":"15 p.","startPage":"220","endPage":"234","ipdsId":"IP-054563","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"SP1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084928e4b0fc4e448ffd54","contributors":{"authors":[{"text":"Clark, Daniel E.","contributorId":166686,"corporation":false,"usgs":false,"family":"Clark","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenen, Kiana K. G.","contributorId":34313,"corporation":false,"usgs":true,"family":"Koenen","given":"Kiana","email":"","middleInitial":"K. G.","affiliations":[],"preferred":false,"id":693768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitney, Jillian J.","contributorId":166687,"corporation":false,"usgs":false,"family":"Whitney","given":"Jillian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacKenzie, Kenneth G.","contributorId":166688,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":693770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693609,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187351,"text":"70187351 - 2016 - Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico","interactions":[],"lastModifiedDate":"2017-05-01T15:05:10","indexId":"70187351","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico","docAbstract":"

The San Luis Basin encompasses the largest structural and hydrologic basin of the Rio Grande rift. On this field trip, we will examine the timing of transition of the San Luis Basin from hydrologically closed, aggrading subbasins to a continuous fluvial system that eroded the basin, formed the Rio Grande gorge, and ultimately, integrated the Rio Grande from Colorado to the Gulf of Mexico. Waning Pleistocene neotectonic activity and onset of major glacial episodes, in particular Marine Isotope Stages 11–2 (~420–14 ka), induced basin fill, spillover, and erosion of the southern San Luis Basin. The combined use of new geologic mapping, fluvial geomorphology, reinterpreted surficial geology of the Taos Plateau, pedogenic relative dating studies, 3He surface exposure dating of basalts, and U-series dating of pedogenic carbonate supports a sequence of events wherein pluvial Lake Alamosa in the northern San Luis Basin overflowed, and began to drain to the south across the closed Sunshine Valley–Costilla Plain region ≤400 ka. By ~200 ka, erosion had cut through topographic highs at Ute Mountain and the Red River fault zone, and began deep-canyon incision across the southern San Luis Basin. Previous studies indicate that prior to 200 ka, the present Rio Grande terminated into a large bolson complex in the vicinity of El Paso, Texas, and systematic, headward erosional processes had subtly integrated discontinuously connected basins along the eastern flank of the Rio Grande rift and southern Rocky Mountains. We propose that the integration of the entire San Luis Basin into the Rio Grande drainage system (~400–200 ka) was the critical event in the formation of the modern Rio Grande, integrating hinterland basins of the Rio Grande rift from El Paso, Texas, north to the San Luis Basin with the Gulf of Mexico. This event dramatically affected basins southeast of El Paso, Texas, across the Chisos Mountains and southeastern Basin and Range province, including the Rio Conchos watershed and much of the Chihuahuan Desert, inducing broad regional landscape incision and exhumation.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.0044(13)​","usgsCitation":"Ruleman, C.A., Machette, M., Thompson, R.A., Miggins, D.M., Goehring, B.M., and Paces, J.B., 2016, Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico: GSA Field Guides, v. 44, p. 291-333, https://doi.org/10.1130/2016.0044(13)​.","productDescription":"43 p.","startPage":"291","endPage":"333","ipdsId":"IP-076013","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, New Mexico","otherGeospatial":"Rio Grande, San Luis Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105,\n 36.2\n ],\n [\n -106.5,\n 36.2\n ],\n [\n -106.5,\n 38.5\n ],\n [\n -105,\n 38.5\n ],\n [\n -105,\n 36.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd56","contributors":{"authors":[{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":693582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Machette, Michael","contributorId":191604,"corporation":false,"usgs":false,"family":"Machette","given":"Michael","affiliations":[],"preferred":false,"id":693584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miggins, Dan M","contributorId":191605,"corporation":false,"usgs":false,"family":"Miggins","given":"Dan","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":693585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goehring, Brent M","contributorId":191606,"corporation":false,"usgs":false,"family":"Goehring","given":"Brent","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":693586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178904,"text":"70178904 - 2016 - Dissolved oxygen: Chapter 6","interactions":[],"lastModifiedDate":"2017-01-12T14:56:39","indexId":"70178904","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Dissolved oxygen: Chapter 6","docAbstract":"

Dissolved oxygen (DO) concentration serves as an important indicator of estuarine habitat condition, because all aquatic macro-organisms require some minimum DO level to survive and prosper. The instantaneous DO concentration, measured at a specific location in the water column, results from a balance between multiple processes that add or remove oxygen (Figure 6.1): primary production produces O2; aerobic respiration in the water column and sediments consumes O2; abiotic or microbially-mediated biogeochemical reactions utilize O2 as an oxidant (e.g., oxidation of ammonium, sulfide, and ferrous iron); O2 exchange occurs across the air:water interface in response to under- or oversaturated DO concentrations in the water column; and water currents and turbulent mixing transport DO into and out of zones in the water column. If the oxygen loss rate exceeds the oxygen production or input rate, DO concentration decreases. When DO losses exceed production or input over a prolonged enough period of time, hypoxia ((<2-3 mg/L) or anoxia can develop. Persistent hypoxia or anoxia causes stress or death in aquatic organism populations, or for organisms that can escape a hypoxic or anoxic area, the loss of habitat. In addition, sulfide, which is toxic to aquatic organisms and causes odor problems, escapes from sediments under low oxygen conditions. Low dissolved oxygen is a common aquatic ecosystem response to elevated organic

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":" Lower South Bay nutrient synthesis","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"San Francisco Estuary Institute","publisherLocation":"Richmond, CA","usgsCitation":"Senn, D., Downing-Kunz, M.A., and Novick, E., 2016, Dissolved oxygen: Chapter 6, 23 p.","productDescription":"23 p.","startPage":"94","endPage":"116","ipdsId":"IP-053632","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331883,"type":{"id":15,"text":"Index Page"},"url":"https://sfbaynutrients.sfei.org/books/reports-and-work-products"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48de4b04df303d95816","contributors":{"authors":[{"text":"Senn, David","contributorId":177368,"corporation":false,"usgs":false,"family":"Senn","given":"David","affiliations":[],"preferred":false,"id":655464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Novick, Emily","contributorId":177369,"corporation":false,"usgs":false,"family":"Novick","given":"Emily","email":"","affiliations":[],"preferred":false,"id":655465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176525,"text":"70176525 - 2016 - Non-linear responses of glaciated prairie wetlands to climate warming","interactions":[],"lastModifiedDate":"2017-05-03T13:11:51","indexId":"70176525","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Non-linear responses of glaciated prairie wetlands to climate warming","docAbstract":"

The response of ecosystems to climate warming is likely to include threshold events when small changes in key environmental drivers produce large changes in an ecosystem. Wetlands of the Prairie Pothole Region (PPR) are especially sensitive to climate variability, yet the possibility that functional changes may occur more rapidly with warming than expected has not been examined or modeled. The productivity and biodiversity of these wetlands are strongly controlled by the speed and completeness of a vegetation cover cycle driven by the wet and dry extremes of climate. Two thresholds involving duration and depth of standing water must be exceeded every few decades or so to complete the cycle and to produce highly functional wetlands. Model experiments at 19 weather stations employing incremental warming scenarios determined that wetland function across most of the PPR would be diminished beyond a climate warming of about 1.5–2.0 °C, a critical temperature threshold range identified in other climate change studies.

","language":"English","publisher":"Springer","doi":"10.1007/s10584-015-1534-8","usgsCitation":"Johnson, W., Werner, B., and Guntenspergen, G.R., 2016, Non-linear responses of glaciated prairie wetlands to climate warming: Climatic Change, v. 134, no. 1, p. 209-223, https://doi.org/10.1007/s10584-015-1534-8.","productDescription":"15 p.","startPage":"209","endPage":"223","ipdsId":"IP-066806","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.3837890625,\n 42.35854391749705\n ],\n [\n -95.2734375,\n 46.164614496897094\n ],\n [\n -95.6689453125,\n 48.37084770238363\n ],\n [\n -97.5146484375,\n 50.20503326494332\n ],\n [\n -105.205078125,\n 52.74959372674114\n ],\n [\n -111.884765625,\n 54.265224078605655\n ],\n [\n -111.9287109375,\n 50.3454604086048\n ],\n [\n -105.77636718749999,\n 47.931066347509784\n ],\n [\n -99.36035156249999,\n 42.94033923363183\n ],\n [\n -95.185546875,\n 42.16340342422401\n ],\n [\n -93.3837890625,\n 42.35854391749705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134","issue":"1","noUsgsAuthors":false,"publicationDate":"2015-10-22","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbe1","contributors":{"authors":[{"text":"Johnson, W. Carter","contributorId":17548,"corporation":false,"usgs":true,"family":"Johnson","given":"W. 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To expand on this previous work, an additional cooperative investigation was initiated to combine the South Carolina data with abutment scour data from other sources and evaluate upper bound patterns with this larger data set. To facilitate this analysis, 446 laboratory and 331 field measurements of abutment scour were compiled into a digital database. This extensive database was used to evaluate the South Carolina abutment scour envelope curves and to develop additional envelope curves that reflected the upper bound of abutment scour depth for the laboratory and field data. The envelope curves provide simple but useful supplementary tools for assessing the potential maximum abutment scour depth in the field setting.","language":"English","publisher":"Transportation Research Board","doi":"10.3141/2588-17","usgsCitation":"Benedict, S., 2016, Upper bound of abutment scour in laboratory and field data: Transportation Research Record, v. 2588, p. 154-162, https://doi.org/10.3141/2588-17.","productDescription":"9 p.","startPage":"154","endPage":"162","ipdsId":"IP-070567","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":349168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South 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measurements","interactions":[],"lastModifiedDate":"2018-02-15T10:56:55","indexId":"70192861","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Field and laboratory determination of water-surface elevation and velocity using noncontact measurements","docAbstract":"Noncontact methods for measuring water-surface elevation and velocity in laboratory flumes and rivers are presented with examples. Water-surface elevations are measured using an array of acoustic transducers in the laboratory and using laser scanning in field situations. Water-surface velocities are based on using particle image velocimetry or other machine vision techniques on infrared video of the water surface. Using spatial and temporal averaging, results from these methods provide information \nthat can be used to develop estimates of discharge for flows over known bathymetry. Making such estimates requires relating water-surface velocities to vertically averaged velocities; the methods here use standard relations. To examine where these relations break down, laboratory data for flows over simple bumps of three amplitudes are evaluated. As anticipated, discharges determined from surface information can have large errors where nonhydrostatic effects are large. In addition to investigating and characterizing this potential error in estimating discharge, a simple method for correction of the issue is presented. With a simple correction based on bed gradient along the flow direction, remotely sensed estimates of discharge appear to be viable.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research","conferenceDate":"August 28-31, 2016","conferenceLocation":"Colombo, Sri Lanka","language":"English","publisher":"International Association of Hydraulic Research","usgsCitation":"Nelson, J.M., Kinzel, P.J., Schmeeckle, M.W., McDonald, R.R., and Minear, J., 2016, Field and laboratory determination of water-surface elevation and velocity using noncontact measurements, in Proceedings of the 20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research, Colombo, Sri Lanka, August 28-31, 2016.","ipdsId":"IP-073816","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":351651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5e5","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":717236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmeeckle, Mark Walter","contributorId":195264,"corporation":false,"usgs":false,"family":"Schmeeckle","given":"Mark","email":"","middleInitial":"Walter","affiliations":[],"preferred":false,"id":717237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minear, Justin T.","contributorId":198828,"corporation":false,"usgs":false,"family":"Minear","given":"Justin T.","affiliations":[],"preferred":false,"id":717239,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178907,"text":"70178907 - 2016 - An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California","interactions":[],"lastModifiedDate":"2017-11-10T18:31:30","indexId":"70178907","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California","docAbstract":"

No abstract available 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applied geology in California ","language":"English","publisher":"Association of Environmental and Engineering Geologists","collaboration":"U.S. Environmental Protection Agency","usgsCitation":"Jacobs, J.A., Testa, S.M., Alpers, C.N., and Nordstrom, D.K., 2016, An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California, chap. of Applied geology in California , p. 427-446.","productDescription":"20 p. ","startPage":"427","endPage":"446","ipdsId":"IP-068662","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":336281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331889,"type":{"id":15,"text":"Index Page"},"url":"https://www.appliedgeologybook.com/"}],"country":"United States","state":"California","county":"Shasta ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.92602539062501,\n 40.14109012528468\n ],\n [\n -121.322021484375,\n 40.14109012528468\n ],\n [\n -121.322021484375,\n 40.94671366508002\n ],\n [\n -122.92602539062501,\n 40.94671366508002\n ],\n [\n -122.92602539062501,\n 40.14109012528468\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c2e4b01ccd54fddfc0","contributors":{"authors":[{"text":"Jacobs, James A","contributorId":177379,"corporation":false,"usgs":false,"family":"Jacobs","given":"James","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":655473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Testa, Stephen M.","contributorId":177380,"corporation":false,"usgs":false,"family":"Testa","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":655475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178095,"text":"70178095 - 2016 - Integrated modeling approach for fate and transport of submerged oil and oil-particle aggregates in a freshwater riverine environment","interactions":[],"lastModifiedDate":"2018-01-08T12:34:57","indexId":"70178095","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated modeling approach for fate and transport of submerged oil and oil-particle aggregates in a freshwater riverine environment","docAbstract":"

The Enbridge Line 6B pipeline release of diluted bitumen into the Kalamazoo River downstream of Marshall, Michigan, U.S.A., in July 2010 was one of the largest oil spills into freshwater in North American history. A portion of the oil interacted with river sediment and submerged requiring the development and implementation of new approaches for detection and recovery of oil mixed with river sediment. Hydrodynamic and sediment transport modeling became an integral part of containment and recovery operations for decision support about the potential fate and migration of submerged oil and oiled sediment. Three models were developed for the U.S. Environmental Protection Agency to cover a range of spatial scales of interest to onsite operations. Two-dimensional (2D) hydrodynamic and sediment transport models from the Environmental Fluid Dynamics Code and the sediment bed model SEDZLJ1 were used to simulate potential resuspension, migration, and deposition of submerged oil and oiled sediment along a 38-mile reach of the Kalamazoo River affected by the oil from Marshall to Kalamazoo. An algorithm was added to SEDZLJ to represent three additional particle size classes of oilparticle aggregates (OPAs) with a range of sizes, specific gravities, and settling velocities. Field and laboratory experiments and flume tests were done to support the numerical modeling of OPAs. A three-dimensional hydrodynamic model was developed to simulate hydrodynamics and OPA tracking through Morrow Lake, the most downstream impoundment. This model incorporated wind and dam operations into high and low flow, lake drawdown, and containment simulations. Finally, a 2D unstructured grid model, HydroSed2D, was used to simulate flows and sediment transport along 1- to 2-mile segments of the Kalamazoo River around islands and through side channels and backwater areas that are particularly prone to submerged oil deposition.

Integrated models could be developed quickly due to the availability of information and services combined with spill response operations that included: bathymetry and topography data, fieldbased geomorphic mapping of submerged oil, and discharge measured at U.S. Geological Survey streamflow gauges. Modeling results were included in a multiple-lines-of-evidence approach that was used by the Federal On-Scene Coordinator and operations staff for decision-making related to assessment and recovery of submerged oil, as well as net environmental benefit analysis. Similar modeling approaches will likely be useful for future oil spills in riverine environments.

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dsoong@usgs.gov","contributorId":169268,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","email":"dsoong@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690650,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hoard, Christopher J. 0000-0003-2337-506X cjhoard@usgs.gov","orcid":"https://orcid.org/0000-0003-2337-506X","contributorId":191767,"corporation":false,"usgs":true,"family":"Hoard","given":"Christopher","email":"cjhoard@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690651,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lee, Kenneth","contributorId":61064,"corporation":false,"usgs":true,"family":"Lee","given":"Kenneth","affiliations":[],"preferred":false,"id":690652,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70191935,"text":"70191935 - 2016 - San Pedro River Aquifer Binational Report","interactions":[],"lastModifiedDate":"2023-12-20T21:24:11.302348","indexId":"70191935","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"San Pedro River Aquifer Binational Report","docAbstract":"

The United States and Mexico share waters in a number of hydrological basins and aquifers that cross the international boundary. Both countries recognize that, in a region of scarce water resources and expanding populations, a greater scientific understanding of these aquifer systems would be beneficial. In light of this, the Mexican and U.S. Principal Engineers of the International Boundary and Water Commission (IBWC) signed the “Joint Report of the Principal Engineers Regarding the Joint Cooperative Process United States-Mexico for the Transboundary Aquifer Assessment Program\" on August 19, 2009 (IBWC-CILA, 2009). This IBWC “Joint Report” serves as the framework for U.S.-Mexico coordination and dialogue to implement transboundary aquifer studies. The document clarifies several details about the program such as background, roles, responsibilities, funding, relevance of the international water treaties, and the use of information collected or compiled as part of the program. In the document, it was agreed by the parties involved, which included the IBWC, the Mexican National Water Commission (CONAGUA), the U.S. Geological Survey (USGS), and the Universities of Arizona and Sonora, to study two priority binational aquifers, one in the San Pedro River basin and the other in the Santa Cruz River basin.

This report focuses on the Binational San Pedro Basin (BSPB). Reasons for the focus on and interest in this aquifer include the fact that it is shared by the two countries, that the San Pedro River has an elevated ecological value because of the riparian ecosystem that it sustains, and that water resources are needed to sustain the river, existing communities, and continued development. This study describes the aquifer’s characteristics in its binational context; however, most of the scientific work has been undertaken for many years by each country without full knowledge of the conditions on the other side of the border. The general objective of this study is to use new and existing research to define the general hydrologic framework of the Binational San Pedro Aquifer (BSPA), to gather hydrogeological and other relevant data in preparation for future work such as an updated groundwater conceptual model and budget and to establish the basis for a binational numerical model.

The specific objectives are as follows:

The BSPB is one of the most studied basins in the region, and a database of publications has been compiled as part of this project. Previous studies include topics that range from geophysics and hydrogeology to biology and ecosystem services. The economic drivers on each side of the border are quite different. In the Arizona 4 portion of the basin military and tourism dominate while in the Sonoran portion, mining is the most important industry. Water management is also different in the two countries. In Mexico, primary authority for management of water resources devolves from the federal government. In the United States, primary authority rests with the states except in cases of interstate surface waters. Binational waters are not currently jointly managed by the two countries except in cases where treaties have been negotiated such as for the Rio Grande and Colorado Rivers. Thus, there is currently no binational coordination or treaty governing the management of groundwater.



","language":"English, Spanish","publisher":"International Boundary and Water Commission","usgsCitation":"Callegary, J.B., Minjarez Sosa, I., Tapia Villasenor, E.M., dos Santos, P., Monreal Saavedra, R., Grijalva Noriega, F., Huth, A.K., Gray, F., Scott, C.A., Megdal, S., Oroz Ramos, L.A., Rangel Medina, M., and Leenhouts, J.M., 2016, San Pedro River Aquifer Binational Report, 164 p.","productDescription":"164 p.","ipdsId":"IP-040472","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":350974,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346934,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.ibwc.gov/wp-content/uploads/2023/06/San_Pedro_Binational_Report_En_01122017.pdf","text":"Report (English)"},{"id":356921,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://www.ibwc.gov/wp-content/uploads/2023/06/San_Pedro_Binational_Report_ESP_Final_2016.pdf","text":"Report (Spanish)"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586dce4b00f54eb1d8206","contributors":{"authors":[{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minjarez Sosa, Ismael","contributorId":197571,"corporation":false,"usgs":false,"family":"Minjarez Sosa","given":"Ismael","email":"","affiliations":[],"preferred":false,"id":713753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tapia Villasenor, Elia Maria","contributorId":197572,"corporation":false,"usgs":false,"family":"Tapia Villasenor","given":"Elia","email":"","middleInitial":"Maria","affiliations":[],"preferred":false,"id":713754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"dos Santos, Placido","contributorId":197573,"corporation":false,"usgs":false,"family":"dos Santos","given":"Placido","email":"","affiliations":[],"preferred":false,"id":713755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monreal Saavedra, Rogelio","contributorId":197574,"corporation":false,"usgs":false,"family":"Monreal Saavedra","given":"Rogelio","email":"","affiliations":[],"preferred":false,"id":713756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grijalva Noriega, Franciso Javier","contributorId":197575,"corporation":false,"usgs":false,"family":"Grijalva Noriega","given":"Franciso Javier","affiliations":[],"preferred":false,"id":713757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huth, A. K.","contributorId":201613,"corporation":false,"usgs":false,"family":"Huth","given":"A.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":726574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713758,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scott, C. A.","contributorId":201614,"corporation":false,"usgs":false,"family":"Scott","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713759,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Megdal, Sharon","contributorId":197577,"corporation":false,"usgs":false,"family":"Megdal","given":"Sharon","affiliations":[],"preferred":false,"id":713760,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oroz Ramos, L. A.","contributorId":201615,"corporation":false,"usgs":false,"family":"Oroz Ramos","given":"L.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":726575,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rangel Medina, Miguel","contributorId":197578,"corporation":false,"usgs":false,"family":"Rangel Medina","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":713762,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Leenhouts, James M. 0000-0001-5171-9240 leenhout@usgs.gov","orcid":"https://orcid.org/0000-0001-5171-9240","contributorId":225,"corporation":false,"usgs":true,"family":"Leenhouts","given":"James","email":"leenhout@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713761,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70191990,"text":"70191990 - 2016 - Evaluation and refinement of Guadalupe Bass conservation strategies to support adaptive management","interactions":[],"lastModifiedDate":"2018-01-25T13:23:19","indexId":"70191990","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-118-2016","title":"Evaluation and refinement of Guadalupe Bass conservation strategies to support adaptive management","docAbstract":"

Burbot Lota lota is the sole freshwater representative of the cod-like fishes and supports subsistence, commercial, and recreational fisheries worldwide above approximately 40° N. It is a difficult species to manage effectively due to its preference for deep-water habitats and spawning activity under the ice in winter. Like other gadiform fishes, Burbot use acoustic signaling as part of their mating system, and while the acoustic repertoire of the species has been characterized under artificial conditions (i.e., net pen suspended under ice in a natural lake), there has been no work to determine whether the species is as vocal in natural spawning aggregations. Our objective was to assess the feasibility of collecting and using acoustic data to characterize the spawning activity and locations of Burbot under field conditions. We recorded audio and video of Burbot spawning aggregations through holes drilled into the ice at known spawning grounds at Moyie Lake in British Columbia, Canada. Acoustic recordings (call counts and audiograms) were analyzed using Raven Pro v 1. 4 software. Acoustic behavior was also related to video data to determine how acoustic activity correlated to any observed spawning behavior. In general, wild Burbot spawning in Moyie Lake did not vocalize as frequently as counterparts spawning under artificial conditions. Further, Burbot vocalizations were not recorded in conjunction with spawning activity. While it may be feasible to use passive acoustic monitoring to locate Burbot spawning grounds and identify periods of activity, it does not seem to hold much promise for locating and quantifying spawning activity in real time.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Grabowski, T.B., 2016, Evaluation and refinement of Guadalupe Bass conservation strategies to support adaptive management: Cooperator Science Series FWS/CSS-118-2016, ii, 34 p.","productDescription":"ii, 34 p.","numberOfPages":"36","ipdsId":"IP-061759","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350615,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2126"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac7e4b06e28e9c9a90c","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","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":713817,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70191605,"text":"70191605 - 2016 - Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri","interactions":[],"lastModifiedDate":"2018-08-07T12:13:09","indexId":"70191605","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri","docAbstract":"

Polyoxyethylene tallow amine (POEA) is an inert ingredient added to formulations of glyphosate, the most widely applied agricultural herbicide. POEA has been shown to have toxic effects to some aquatic organisms making the potential transport of POEA from the application site into the environment an important concern. This study characterized the adsorption of POEA to soils and assessed its occurrence and homologue distribution in agricultural soils from six states. Adsorption experiments of POEA to selected soils showed that POEA adsorbed much stronger than glyphosate; calcium chloride increased the binding of POEA; and the binding of POEA was stronger in low pH conditions. POEA was detected on a soil sample from an agricultural field near Lawrence, Kansas, but with a loss of homologues that contain alkenes. POEA was also detected on soil samples collected between February and early March from corn and soybean fields from ten different sites in five other states (Iowa, Illinois, Indiana, Missouri, Mississippi). This is the first study to characterize the adsorption of POEA to soil, the potential widespread occurrence of POEA on agricultural soils, and the persistence of the POEA homologues on agricultural soils into the following growing season.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b00965","usgsCitation":"Tush, D.L., and Meyer, M.T., 2016, Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri: Environmental Science & Technology, v. 50, no. 11, p. 5781-5789, https://doi.org/10.1021/acs.est.6b00965.","productDescription":"9 p.","startPage":"5781","endPage":"5789","ipdsId":"IP-065815","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":346722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Illinois, Indiana, Kansas, Mississippi, Missouri","volume":"50","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-18","publicationStatus":"PW","scienceBaseUri":"59e71693e4b05fe04cd331c0","contributors":{"authors":[{"text":"Tush, Daniel L. 0000-0003-0031-3501 dtush@usgs.gov","orcid":"https://orcid.org/0000-0003-0031-3501","contributorId":4538,"corporation":false,"usgs":true,"family":"Tush","given":"Daniel","email":"dtush@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712858,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193297,"text":"70193297 - 2016 - Subsidence induced by underground extraction","interactions":[],"lastModifiedDate":"2019-09-06T10:47:51","indexId":"70193297","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Subsidence induced by underground extraction","docAbstract":"

Subsidence induced by underground extraction is a class of human-induced (anthropogenic) land subsidence that principally is caused by the withdrawal of subsurface fluids (groundwater, oil, and gas) or by the underground mining of coal and other minerals.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Natural Hazards","language":"English","publisher":"Springer","doi":"10.1007/978-1-4020-4399-4_336","usgsCitation":"Galloway, D.L., 2016, Subsidence induced by underground extraction, chap. of Encyclopedia of Natural Hazards, https://doi.org/10.1007/978-1-4020-4399-4_336.","ipdsId":"IP-018844","costCenters":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":351828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-21","publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5e3","contributors":{"authors":[{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":718581,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187720,"text":"70187720 - 2016 - Rapid environmental change drives increased land use by an Arctic marine predator","interactions":[],"lastModifiedDate":"2017-05-18T10:32:17","indexId":"70187720","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Rapid environmental change drives increased land use by an Arctic marine predator","docAbstract":"

In the Arctic Ocean’s southern Beaufort Sea (SB), the length of the sea ice melt season (i.e., period between the onset of sea ice break-up in summer and freeze-up in fall) has increased substantially since the late 1990s. Historically, polar bears (Ursus maritimus) of the SB have mostly remained on the sea ice year-round (except for those that came ashore to den), but recent changes in the extent and phenology of sea ice habitat have coincided with evidence that use of terrestrial habitat is increasing. We characterized the spatial behavior of polar bears spending summer and fall on land along Alaska’s north coast to better understand the nexus between rapid environmental change and increased use of terrestrial habitat. We found that the percentage of radiocollared adult females from the SB subpopulation coming ashore has tripled over 15 years. Moreover, we detected trends of earlier arrival on shore, increased length of stay, and later departure back to sea ice, all of which were related to declines in the availability of sea ice habitat over the continental shelf and changes to sea ice phenology. Since the late 1990s, the mean duration of the open-water season in the SB increased by 36 days, and the mean length of stay on shore increased by 31 days. While on shore, the distribution of polar bears was influenced by the availability of scavenge subsidies in the form of subsistence-harvested bowhead whale (Balaena mysticetus) remains aggregated at sites along the coast. The declining spatio-temporal availability of sea ice habitat and increased availability of human-provisioned resources are likely to result in increased use of land. Increased residency on land is cause for concern given that, while there, bears may be exposed to a greater array of risk factors including those associated with increased human activities.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0155932","usgsCitation":"Atwood, T.C., Peacock, E.L., McKinney, M.A., Lillie, K., Wilson, R.H., Douglas, D.C., Miller, S., and Terletzky, P., 2016, Rapid environmental change drives increased land use by an Arctic marine predator: PLoS ONE, v. 6, no. 11, Article e0155932; 18 p., https://doi.org/10.1371/journal.pone.0155932.","productDescription":"Article e0155932; 18 p.","ipdsId":"IP-072257","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":471388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0155932","text":"Publisher Index Page"},{"id":341326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Southern Beaufort Sea","volume":"6","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-01","publicationStatus":"PW","scienceBaseUri":"591abe37e4b0a7fdb43c8bf7","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":695266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":695552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":695267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lillie, Kate","contributorId":148213,"corporation":false,"usgs":false,"family":"Lillie","given":"Kate","affiliations":[{"id":17117,"text":"Department of Wildland Resources, Utah State University, Logan","active":true,"usgs":false}],"preferred":false,"id":695268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":695269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":695270,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Terletzky, Pat","contributorId":192063,"corporation":false,"usgs":false,"family":"Terletzky","given":"Pat","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":695272,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Susanne","contributorId":50955,"corporation":false,"usgs":false,"family":"Miller","given":"Susanne","email":"","affiliations":[{"id":13235,"text":"U.S. Fish and Wildlife Service, Marine Mammals Management","active":true,"usgs":false}],"preferred":false,"id":695271,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70187256,"text":"70187256 - 2016 - Louisiana waterthrush and benthic macroinvertebrate response to shale gas development","interactions":[],"lastModifiedDate":"2017-04-27T11:39:11","indexId":"70187256","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Louisiana waterthrush and benthic macroinvertebrate response to shale gas development","docAbstract":"

Because shale gas development is occurring over large landscapes and consequently is affecting many headwater streams, an understanding of its effects on headwater-stream faunal communities is needed. We examined effects of shale gas development (well pads and associated infrastructure) on Louisiana waterthrush Parkesia motacilla and benthic macroinvertebrate communities in 12 West Virginia headwater streams in 2011. Streams were classed as impacted (n = 6) or unimpacted (n = 6) by shale gas development. We quantified waterthrush demography (nest success, clutch size, number of fledglings, territory density), a waterthrush Habitat Suitability Index, a Rapid Bioassessment Protocol habitat index, and benthic macroinvertebrate metrics including a genus-level stream-quality index for each stream. We compared each benthic metric between impacted and unimpacted streams with a Student's t-test that incorporated adjustments for normalizing data. Impacted streams had lower genus-level stream-quality index scores; lower overall and Ephemeroptera, Plecoptera, and Trichoptera richness; fewer intolerant taxa, more tolerant taxa, and greater density of 0–3-mm individuals (P ≤ 0.10). We then used Pearson correlation to relate waterthrush metrics to benthic metrics across the 12 streams. Territory density (no. of territories/km of stream) was greater on streams with higher genus-level stream-quality index scores; greater density of all taxa and Ephemeroptera, Plecoptera, and Trichoptera taxa; and greater biomass. Clutch size was greater on streams with higher genus-level stream-quality index scores. Nest survival analyses (n = 43 nests) completed with Program MARK suggested minimal influence of benthic metrics compared with nest stage and Habitat Suitability Index score. Although our study spanned only one season, our results suggest that shale gas development affected waterthrush and benthic communities in the headwater streams we studied. Thus, these ecological effects of shale gas development warrant closer examination.

","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/092015-JFWM-084","usgsCitation":"Wood, P., Frantz, M.W., and Becker, D.A., 2016, Louisiana waterthrush and benthic macroinvertebrate response to shale gas development: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 423-433, https://doi.org/10.3996/092015-JFWM-084.","productDescription":"11 p.","startPage":"423","endPage":"433","ipdsId":"IP-066368","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092015-jfwm-084","text":"Publisher Index Page"},{"id":340503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":" Lewis Wetzel Wildlife Management Area","volume":"7","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-01","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f72b","contributors":{"authors":[{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Mack W.","contributorId":191486,"corporation":false,"usgs":false,"family":"Frantz","given":"Mack","email":"","middleInitial":"W.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":693208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becker, Douglas A.","contributorId":169852,"corporation":false,"usgs":false,"family":"Becker","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693209,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157527,"text":"70157527 - 2016 - Natural soil reservoirs for human pathogenic and fecal indicator bacteria","interactions":[],"lastModifiedDate":"2016-09-06T14:36:49","indexId":"70157527","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Natural soil reservoirs for human pathogenic and fecal indicator bacteria","docAbstract":"Soils receive inputs of human pathogenic and indicator bacteria through land application of animal manures or sewage sludge, and inputs by wildlife. Soil is an extremely heterogeneous substrate and contains meso- and macrofauna that may be reservoirs for bacteria of human health concern. The ability to detect and quantify bacteria of human health concern is important in risk assessments and in evaluating the efficacy of agricultural soil management practices that are protective of crop quality and protective of adjacent water resources. The present chapter describes the distribution of selected Gram-positive and Gram-negative bacteria in soils. Methods for detecting and quantifying soilborne bacteria including extraction, enrichment using immunomagnetic capture, culturing, molecular detection and deep sequencing of metagenomic DNA to detect pathogens are overviewed. Methods for strain phenotypic and genotypic characterization are presented, as well as how comparison with clinical isolates can inform the potential for human health risk.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Manual of environmental microbiology","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/9781555818821.ch3.3.2","usgsCitation":"Boschiroli, M.L., Falkinham, J., Favre-Bonte, S., Nazaret, S., Piveteau, P., Sadowsky, M.J., Byappanahalli, M., Delaquis, P., and Hartmann, A., 2016, Natural soil reservoirs for human pathogenic and fecal indicator bacteria, chap. of Manual of environmental microbiology, p. 3.3.2-1-3.3.2-12, https://doi.org/10.1128/9781555818821.ch3.3.2.","productDescription":"13 p. ","startPage":"3.3.2-1","endPage":"3.3.2-12","ipdsId":"IP-056487","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":328271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308590,"type":{"id":15,"text":"Index Page"},"url":"https://www.asmscience.org/content/book/10.1128/9781555818821.ch3.3.2"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"57cfe8bae4b04836416a0df1","contributors":{"authors":[{"text":"Boschiroli, Maria L","contributorId":147956,"corporation":false,"usgs":false,"family":"Boschiroli","given":"Maria","email":"","middleInitial":"L","affiliations":[{"id":16967,"text":"ANSES French Agency for Food, Environmental & Occupational Health Safety, Maisons-Alfort Animal Health Laboratory, Bacterial Zoonoses Unit, Maisons-Alfort Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falkinham, Joseph","contributorId":147957,"corporation":false,"usgs":false,"family":"Falkinham","given":"Joseph","email":"","affiliations":[{"id":16968,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":573457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Favre-Bonte, Sabine","contributorId":147958,"corporation":false,"usgs":false,"family":"Favre-Bonte","given":"Sabine","email":"","affiliations":[{"id":16969,"text":"Microbial Ecology Laboratory, CNRS/University Lyon I, Villeurbanne Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nazaret, Sylvie","contributorId":147959,"corporation":false,"usgs":false,"family":"Nazaret","given":"Sylvie","email":"","affiliations":[{"id":16969,"text":"Microbial Ecology Laboratory, CNRS/University Lyon I, Villeurbanne Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piveteau, Pascal","contributorId":147960,"corporation":false,"usgs":false,"family":"Piveteau","given":"Pascal","email":"","affiliations":[{"id":16970,"text":"Agroecology Unit, INRA/University of Burgundy/AgroSup Dijon, Dijon Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":573462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X byappan@usgs.gov","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":147923,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":573455,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delaquis, Pascal","contributorId":147962,"corporation":false,"usgs":false,"family":"Delaquis","given":"Pascal","email":"","affiliations":[{"id":16967,"text":"ANSES French Agency for Food, Environmental & Occupational Health Safety, Maisons-Alfort Animal Health Laboratory, Bacterial Zoonoses Unit, Maisons-Alfort Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hartmann, Alain","contributorId":147961,"corporation":false,"usgs":false,"family":"Hartmann","given":"Alain","email":"","affiliations":[{"id":16970,"text":"Agroecology Unit, INRA/University of Burgundy/AgroSup Dijon, Dijon Cedex, France","active":true,"usgs":false}],"preferred":false,"id":573461,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192674,"text":"70192674 - 2016 - Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels","interactions":[],"lastModifiedDate":"2020-12-17T21:12:10.021719","indexId":"70192674","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels","docAbstract":"

Knowledge of the habitat suitability of freshwater mussels (family Unionidae) is necessary for effective decision making in conservation and management. We empirically measured microhabitat use for 10 unionid mussel species, including the U.S. federally endangered Alasmidonta heterodon, at 20 sites in the Tar River basin, North Carolina, USA. We also quantified habitat availability at each site, and calculated habitat suitability for each mussel species. The majority of available habitat across all sites consisted of shallow, slow-moving water with penetrable silt or sand substrate. Among species, mean water depth of occupied habitats ranged 0.23 – 0.54 m, mean bottom velocity ranged 0.001 – 0.055 m/s, average mean-column velocity ranged 0 – 0.055 m/s, and mean substrate penetrability ranged 0.11 – 11.67 on an index scale. The most commonly measured dominant substrate materials were silt, sand, very coarse sand, pea gravel, and coarse gravel. The most common cover types were coarse woody debris and fine woody debris. These findings revealed a relationship between the niche breadth and conservation status of four species. Federally endangered A. heterodon consistently showed a narrower suite of suitable microhabitats than the common mussel Elliptio complanata. The range of suitable habitat characteristics for Fusconaia masoni and Villosa constricta, listed as North Carolina (USA) state endangered and special concern, respectively, was typically narrower than those of E. complanata and wider than those of A. heterodon. These habitat suitability criteria and relationships will be useful to guide identification of suitable sites for habitat protection, mussel relocation, or site restoration.

","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc.v19i2.2016.27-50","usgsCitation":"Pandolfo, T.J., Kwak, T.J., and Cope, W., 2016, Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels: Freshwater Mollusk Biology and Conservation, v. 19, no. 2, p. 27-50, https://doi.org/10.31931/fmbc.v19i2.2016.27-50.","productDescription":"24 p.","startPage":"27","endPage":"50","ipdsId":"IP-074802","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v19i2.2016.27-50","text":"Publisher Index Page"},{"id":349350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Tar River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.03887939453125,\n 35.53222622770337\n ],\n [\n -76.97982788085938,\n 35.69187929931617\n ],\n [\n -77.47146606445312,\n 36.01800375871416\n ],\n [\n -77.706298828125,\n 35.85789180225939\n ],\n [\n -77.78182983398438,\n 35.74874138089811\n ],\n [\n -77.5469970703125,\n 35.51434313431818\n ],\n [\n -77.25173950195312,\n 35.49198366469642\n ],\n [\n -77.03887939453125,\n 35.53222622770337\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fd5","contributors":{"authors":[{"text":"Pandolfo, Tamara J.","contributorId":146388,"corporation":false,"usgs":false,"family":"Pandolfo","given":"Tamara","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":723525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":723526,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180405,"text":"70180405 - 2016 - Conservation planning for the Colorado River in Utah","interactions":[],"lastModifiedDate":"2026-06-02T13:11:38.37229","indexId":"70180405","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Conservation planning for the Colorado River in Utah","docAbstract":"

Strategic planning is increasingly recognized as necessary for providing the greatest possible conservation benefits for restoration efforts. Rigorous, science-based resource assessment, combined with acknowledgement of broader basin trends, provides a solid foundation for determining effective projects. It is equally important that methods used to prioritize conservation investments are simple and practical enough that they can be implemented in a timely manner and by a variety of resource managers. With the help of local and regional natural resource professionals, we have developed a broad-scale, spatially-explicit assessment of 146 miles (~20,000 acres) of the Colorado River mainstem in Grand and San Juan Counties, Utah that will function as the basis for a systematic, practical approach to conservation planning and riparian restoration prioritization. For the assessment we have: 1) acquired, modified or created spatial datasets of Colorado River bottomland conditions; 2) synthesized those datasets into habitat suitability models and estimates of natural recovery potential, fire risk and relative cost; 3) investigated and described dominant ecosystem trends and human uses, and; 4) suggested site selection and prioritization approaches. Partner organizations (The Nature Conservancy, National Park Service, Bureau of Land Management and Utah Forestry Fire and State Lands) are using the assessment and datasets to identify and prioritize a suite of restoration actions to increase ecosystem resilience and improve habitat for bottomland species. Primary datasets include maps of bottomland cover types, bottomland extent, maps of areas inundated during high and low flow events, as well as locations of campgrounds, roads, fires, invasive vegetation treatment areas and other features. Assessment of conditions and trends in the project area entailed: 1) assemblage of existing data on geology, changes in stream flow, and predictions of future conditions; 2) identification of fish and wildlife species present and grouping species into Conservation Elements (CEs) based on habitat needs, and: 3) acquisition, review and creation of spatial datasets characterizing vegetation, fluvial geomorphic and human features within the bottomland. Interpretation of aerial imagery and assimilation of pre-existing spatial data were central to our efforts in characterizing resources conditions. Detailed maps of vegetation and channel habitat features in the project area were generated from true color, high resolution (0.3m) imagery flown September 16, 2010. We also mapped channel habitat features at high flow on 1.0-m resolution, publicly available, true color imagery. We obtained additional layers such as land ownership, roads, fire history, non-native vegetation treatment areas, and recreational use features from public sources and project partners. Habitat suitability models were created for groups of terrestrial species by combining spatial datasets with the habitat needs of conservation elements, guided by literature, where available, and extensive use of expert knowledge. Conservation elements for endangered fish species life stages were identified but not modeled. Terrestrial CE’s included: • Riparian Overstory -yellow-billed cuckoo, Bullock’s oriole, black-headed grosbeak, blue grosbeak, warbling vireo, Cooper's hawk, screech owl, saw-whet owl, and bald eagle, (best: tall trees, dense canopy, diverse shrub understory, no tamarisk); • Riparian Understory - southwestern willow flycatcher, common yellowthroat, yellow warbler, yellow-breasted chat, beaver, northern river otter, black-necked garter snake, (best: dense mesic shrubs near still water, no tamarisk); • Bat Feeding - Allen's big-eared bat, Townsend's big-eared bat, fringed myotis, Yuma myotis, big free-tailed bat, spotted bat (best: diverse vegetation, close to still water); • Bat Watering - big free-tailed and spotted bats (best: still water with no tall vegetation); •

","language":"English","publisher":"Colorado Mesa University","usgsCitation":"Christine Rasmussen, and Shafroth, P.B., 2016, Conservation planning for the Colorado River in Utah, Report: 94 p.; Data Release.","productDescription":"Report: 94 p.; Data Release","ipdsId":"IP-079063","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":335787,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334302,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.riversedgewest.org/documents/conservation-planning-colorado-river-utah"},{"id":504915,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P927I36K","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.06677246093749,\n 39.15136267949029\n ],\n [\n -109.3304443359375,\n 38.94659331893374\n ],\n [\n -109.79187011718749,\n 38.49229419236133\n ],\n [\n -110.489501953125,\n 37.913867495923746\n ],\n [\n -110.93994140625,\n 37.37015718405753\n ],\n [\n -110.89599609375,\n 37.17782559332976\n ],\n [\n -110.269775390625,\n 37.735969208590504\n ],\n [\n -109.44580078125,\n 38.453588708941375\n ],\n [\n -109.05029296875,\n 39.11301365149975\n ],\n [\n -109.06677246093749,\n 39.15136267949029\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286292","contributors":{"authors":[{"text":"Christine Rasmussen","contributorId":178920,"corporation":false,"usgs":false,"family":"Christine Rasmussen","affiliations":[],"preferred":false,"id":661589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":661588,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70181770,"text":"70181770 - 2016 - Targets set to reduce Lake Erie algae","interactions":[],"lastModifiedDate":"2017-02-16T15:34:57","indexId":"70181770","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Targets set to reduce Lake Erie algae","docAbstract":"

In February 2016, the Great Lakes Executive Committee, which oversees the implementation of the Great Lakes Water Quality Agreement (GLWQA) between the U.S. and Canada, approved phosphorus loading targets for Lake Erie to reduce the size of harmful algal blooms (HABs), reduce the presence of the low oxygen zone in the central basin, and protect nearshore water quality. The targets are set with respect to the nutrient loads calculated for 2008. To reduce the impacts of HABs on Lake Erie a target was set of a 40 percent reduction in total and soluble reactive phosphorus loads in the spring from two Canadian rivers and several Michigan and Ohio rivers, especially the Maumee River (https://binational.net/2016/02/22/ finalptargets-ciblesfinalesdep/). States and the province of Ontario are already developing Domestic Action Plans to accomplish the reductions and scientists are developing research and monitoring plans to assess progress.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Michigan State of the Great Lakes","language":"English","publisher":"Michigan Office of the Great Lakes","collaboration":"Michigan Department of Environmental Quality","usgsCitation":"Evans, M.A., 2016, Targets set to reduce Lake Erie algae, 2 p.","productDescription":"2 p.","startPage":"12","endPage":"13","ipdsId":"IP-081007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":335790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335280,"type":{"id":15,"text":"Index Page"},"url":"https://www.michigan.gov/documents/deq/SOGL_2016_546173_7.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286290","contributors":{"authors":[{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":668452,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70179689,"text":"70179689 - 2016 - Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition","interactions":[],"lastModifiedDate":"2018-03-30T12:49:09","indexId":"70179689","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition","docAbstract":"

Recent reports suggest that decreases in atmospheric nitrogen (N) deposition throughout Europe and North America may have resulted in declining nitrate export in surface waters in recent decades, yet it is unknown if and how terrestrial N cycling was affected. During a period of decreased atmospheric N deposition, we assessed changes in forest N cycling by evaluating trends in tree-ring δ15N values (between 1980 and 2010; n = 20 trees per watershed), stream nitrate yields (between 2000 and 2011), and retention of atmospherically-deposited N (between 2000 and 2011) in the North and South Tributaries (North and South, respectively) of Buck Creek in the Adirondack Mountains, USA. We hypothesized that tree-ring δ15N values would decline following decreases in atmospheric N deposition (after approximately 1995), and that trends in stream nitrate export and retention of atmospherically deposited N would mirror changes in tree-ring δ15N values. Three of the six sampled tree species and the majority of individual trees showed declining linear trends in δ15N for the period 1980–2010; only two individual trees showed increasing trends in δ15N values. From 1980 to 2010, trees in the watersheds of both tributaries displayed long-term declines in tree-ring δ15N values at the watershed scale (R = −0.35 and p = 0.001 in the North and R = −0.37 and p <0.001 in the South). The decreasing δ15N trend in the North was associated with declining stream nitrate concentrations (−0.009 mg N L−1 yr−1, p = 0.02), but no change in the retention of atmospherically deposited N was observed. In contrast, nitrate yields in the South did not exhibit a trend, and the watershed became less retentive of atmospherically deposited N (−7.3% yr−1, p < 0.001). Our δ15N results indicate a change in terrestrial N availability in both watersheds prior to decreases in atmospheric N deposition, suggesting that decreased atmospheric N deposition was not the sole driver of tree-ring δ15N values at these sites. Other factors, such as decreased sulfur deposition, disturbance, long-term successional trends, and/or increasing atmospheric CO2concentrations, may also influence trends in tree-ring δ15N values. Furthermore, declines in terrestrial N availability inferred from tree-ring δ15N values do not always correspond with decreased stream nitrate export or increased retention of atmospherically deposited N.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2016.08.055","usgsCitation":"Sabo, R.D., Scanga, S.E., Lawrence, G.B., Nelson, D.M., Eshleman, K., Zabala, G.A., Alinea, A.A., and Schirmer, C.D., 2016, Watershed-scale changes in terrestrial nitrogen cycling during a period of decreased atmospheric nitrate and sulfur deposition: Atmospheric Environment, v. 146, p. 271-279, https://doi.org/10.1016/j.atmosenv.2016.08.055.","productDescription":"9 p.","startPage":"271","endPage":"279","ipdsId":"IP-073355","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":471363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2016.08.055","text":"Publisher Index Page"},{"id":352815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea59e4b0da30c1bfc603","contributors":{"authors":[{"text":"Sabo, Robert D. 0000-0001-8713-7699","orcid":"https://orcid.org/0000-0001-8713-7699","contributorId":178226,"corporation":false,"usgs":false,"family":"Sabo","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanga, Sara E. 0000-0003-4022-4167","orcid":"https://orcid.org/0000-0003-4022-4167","contributorId":178227,"corporation":false,"usgs":false,"family":"Scanga","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, David M.","contributorId":175098,"corporation":false,"usgs":false,"family":"Nelson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eshleman, Keith N.","contributorId":178228,"corporation":false,"usgs":false,"family":"Eshleman","given":"Keith N.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":658254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zabala, Gabriel A.","contributorId":178229,"corporation":false,"usgs":false,"family":"Zabala","given":"Gabriel","email":"","middleInitial":"A.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alinea, Alexandria A.","contributorId":178230,"corporation":false,"usgs":false,"family":"Alinea","given":"Alexandria","email":"","middleInitial":"A.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":658256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schirmer, Charles D.","contributorId":178231,"corporation":false,"usgs":false,"family":"Schirmer","given":"Charles","email":"","middleInitial":"D.","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":658257,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70173849,"text":"70173849 - 2016 - Dominance of 'Gallionella capsiferriformans' and heavy metal association with Gallionella-like stalks in metal-rich pH 6 mine water discharge","interactions":[],"lastModifiedDate":"2016-06-14T11:58:25","indexId":"70173849","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1751,"text":"Geobiology","active":true,"publicationSubtype":{"id":10}},"title":"Dominance of 'Gallionella capsiferriformans' and heavy metal association with Gallionella-like stalks in metal-rich pH 6 mine water discharge","docAbstract":"

Heavy metal-contaminated, pH 6 mine water discharge created new streams and iron-rich terraces at a creek bank in a former uranium-mining area near Ronneburg, Germany. The transition from microoxic groundwater with ~5 mm Fe(II) to oxic surface water may provide a suitable habitat for microaerobic iron-oxidizing bacteria (FeOB). In this study, we investigated the potential contribution of these FeOB to iron oxidation and metal retention in this high-metal environment. We (i) identified and quantified FeOB in water and sediment at the outflow, terraces, and creek, (ii) studied the composition of biogenic iron oxides (Gallionella-like twisted stalks) with scanning and transmission electron microscopy (SEM, TEM) as well as confocal laser scanning microscopy (CLSM), and (iii) examined the metal distribution in sediments. Using quantitative PCR, a very high abundance of FeOB was demonstrated at all sites over a 6-month study period. Gallionella spp. clearly dominated the communities, accounting for up to 88% ofBacteria, with a minor contribution of other FeOB such as Sideroxydans spp. and ‘Ferrovum myxofaciens’. Classical 16S rRNA gene cloning showed that 96% of the Gallionella-related sequences had ≥97% identity to the putatively metal-tolerant ‘Gallionella capsiferriformans ES-2’, in addition to known stalk formers such as Gallionella ferruginea and Gallionellaceae strain R-1. Twisted stalks from glass slides incubated in water and sediment were composed of the Fe(III) oxyhydroxide ferrihydrite, as well as polysaccharides. SEM and scanning TEM-energy-dispersive X-ray spectroscopy revealed that stalk material contained Cu and Sn, demonstrating the association of heavy metals with biogenic iron oxides and the potential for metal retention by these stalks. Sequential extraction of sediments suggested that Cu (52–61% of total sediment Cu) and other heavy metals were primarily bound to the iron oxide fractions. These results show the importance of ‘G. capsiferriformans’ and biogenic iron oxides in slightly acidic but highly metal-contaminated freshwater environments.

","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/gbi.12162","usgsCitation":"Fabisch, M., Freyer, G., Johnson, C.A., Buchel, G., Akob, D.M., Neu, T.R., and Kusel, K., 2016, Dominance of 'Gallionella capsiferriformans' and heavy metal association with Gallionella-like stalks in metal-rich pH 6 mine water discharge: Geobiology, v. 14, no. 1, p. 68-90, https://doi.org/10.1111/gbi.12162.","productDescription":"23 p.","startPage":"68","endPage":"90","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066911","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":323582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-26","publicationStatus":"PW","scienceBaseUri":"57612ab0e4b04f417c2ce49e","contributors":{"authors":[{"text":"Fabisch, Maria","contributorId":17137,"corporation":false,"usgs":true,"family":"Fabisch","given":"Maria","affiliations":[],"preferred":false,"id":638690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freyer, Gina","contributorId":171798,"corporation":false,"usgs":false,"family":"Freyer","given":"Gina","email":"","affiliations":[{"id":26947,"text":"Friedrich Schiller University, Germany","active":true,"usgs":false}],"preferred":false,"id":638691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Carol A.","contributorId":171799,"corporation":false,"usgs":false,"family":"Johnson","given":"Carol","email":"","middleInitial":"A.","affiliations":[{"id":26948,"text":"Virginia Tech; Friedrich Schiller University, Germany","active":true,"usgs":false}],"preferred":false,"id":638692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buchel, Georg","contributorId":171800,"corporation":false,"usgs":false,"family":"Buchel","given":"Georg","email":"","affiliations":[{"id":26947,"text":"Friedrich Schiller University, Germany","active":true,"usgs":false}],"preferred":false,"id":638693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":638689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neu, Thomas R.","contributorId":171801,"corporation":false,"usgs":false,"family":"Neu","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":26949,"text":"Helmholtz Centre for Environmental Research, Germany","active":true,"usgs":false}],"preferred":false,"id":638694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kusel, Kirsten","contributorId":171802,"corporation":false,"usgs":false,"family":"Kusel","given":"Kirsten","email":"","affiliations":[{"id":26947,"text":"Friedrich Schiller University, Germany","active":true,"usgs":false}],"preferred":false,"id":638695,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}