{"pageNumber":"1184","pageRowStart":"29575","pageSize":"25","recordCount":184828,"records":[{"id":70158975,"text":"70158975 - 2015 - Research data services in academic libraries: Data intensive roles for the future?","interactions":[],"lastModifiedDate":"2018-08-13T09:48:26","indexId":"70158975","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5123,"text":"Journal of eScience Librarianship","active":true,"publicationSubtype":{"id":10}},"title":"Research data services in academic libraries: Data intensive roles for the future?","docAbstract":"

Objectives: The primary objectives of this study are to gauge the various levels of Research Data Service academic libraries provide based on demographic factors, gauging RDS growth since 2011, and what obstacles may prevent expansion or growth of services.

\n

Methods: Survey of academic institutions through stratified random sample of ACRL library directors across the U.S. and Canada. Frequencies and chi-square analysis were applied, with some responses grouped into broader categories for analysis.

\n

Results: Minimal to no change for what services were offered between survey years, and interviews with library directors were conducted to help explain this lack of change.

\n

Conclusion: Further analysis is forthcoming for a librarians study to help explain possible discrepancies in organizational objectives and librarian sentiments of RDS.

","language":"English","publisher":"Digital Commons","doi":"10.7191/jeslib.2015.1085","usgsCitation":"Tenopir, C., Hughes, D., Allard, S., Frame, M., Birch, B., Sandusky, R., Langseth, M.L., and Lundeen, A., 2015, Research data services in academic libraries: Data intensive roles for the future?: Journal of eScience Librarianship, v. 4, no. 2, e1085; 21 p., https://doi.org/10.7191/jeslib.2015.1085.","productDescription":"e1085; 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065826","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":471519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7191/jeslib.2015.1085","text":"Publisher Index Page"},{"id":324703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"57779434e4b07dd077c9061e","contributors":{"authors":[{"text":"Tenopir, Carol","contributorId":172632,"corporation":false,"usgs":false,"family":"Tenopir","given":"Carol","email":"","affiliations":[],"preferred":false,"id":641466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, Dane","contributorId":172633,"corporation":false,"usgs":false,"family":"Hughes","given":"Dane","email":"","affiliations":[],"preferred":false,"id":641467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allard, Suzie","contributorId":172634,"corporation":false,"usgs":false,"family":"Allard","given":"Suzie","email":"","affiliations":[],"preferred":false,"id":641468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frame, Mike 0000-0001-9995-2172 mike_frame@usgs.gov","orcid":"https://orcid.org/0000-0001-9995-2172","contributorId":4541,"corporation":false,"usgs":true,"family":"Frame","given":"Mike","email":"mike_frame@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":577104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birch, Ben","contributorId":172635,"corporation":false,"usgs":false,"family":"Birch","given":"Ben","email":"","affiliations":[],"preferred":false,"id":641469,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandusky, Robert","contributorId":172636,"corporation":false,"usgs":false,"family":"Sandusky","given":"Robert","email":"","affiliations":[],"preferred":false,"id":641470,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Langseth, Madison L. 0000-0002-4472-9106 mlangseth@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-9106","contributorId":149156,"corporation":false,"usgs":true,"family":"Langseth","given":"Madison","email":"mlangseth@usgs.gov","middleInitial":"L.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":577105,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lundeen, Andrew","contributorId":172637,"corporation":false,"usgs":false,"family":"Lundeen","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":641471,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70162268,"text":"70162268 - 2015 - Evaluation of a fine sediment removal tool in spring-fed and snowmelt driven streams","interactions":[],"lastModifiedDate":"2016-01-20T12:24:55","indexId":"70162268","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1462,"text":"Ecological Restoration","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a fine sediment removal tool in spring-fed and snowmelt driven streams","docAbstract":"

The accumulation of fine-grained sediments impairs the structure and function of streams, so removing fine sediments may be required to achieve restoration objectives. There has been little work on methods of removing excess sediment or on the efficacy of the methods. We used a 4-year before-after-control-impact design in southeastern Idaho streams to test a fine sediment removal system (FSRS) manufactured by Streamside Environmental LLC. The FSRS agitates fine sediment in the substrate with clean pump water and then vacuums the sediment out of the stream with a second pump. Our objectives were: 1) to test if the FSRS can selectively remove fine sediment; 2) to monitor the bio-physical responses in FSRS treated and downstream waters; and 3) to compare the bio-physical responses to the FSRS in spring-fed and snowmelt driven stream reaches. The FSRS removed ~ 14 metric tons of sediment from the two treated reaches. More than 90% of this sediment was < 2 mm, indicating that the FSRS selected for fine sediment in both stream types. Sustained effects of removing this sediment were confined to substrate improvements in treated reaches. Embeddedness in the spring-fed reach decreased and subsurface grain size in spring-fed and snowmelt driven reaches increased. We did not detect any sustained invertebrate or fish responses in treated reaches or any detrimental bio-physical responses in downstream waters. These results indicate that the FSRS reduced fine sediment levels but sediment removal did not reverse the impacts of sediment accumulation to stream biota within our monitoring time frame.

","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/er.33.3.303","usgsCitation":"Sepulveda, A.J., Layhee, M.J., Sutphin, Z., and Sechrist, J.D., 2015, Evaluation of a fine sediment removal tool in spring-fed and snowmelt driven streams: Ecological Restoration, v. 33, no. 3, p. 303-315, https://doi.org/10.3368/er.33.3.303.","productDescription":"13 p.","startPage":"303","endPage":"315","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063203","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":314524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-17","publicationStatus":"PW","scienceBaseUri":"56a0bdc8e4b0961cf280dc1a","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutphin, Zach","contributorId":152362,"corporation":false,"usgs":false,"family":"Sutphin","given":"Zach","email":"","affiliations":[{"id":18915,"text":"U.S. Bureau of Reclamation, Denver Technical Service Center, Denver, CO 80225, USA","active":true,"usgs":false}],"preferred":false,"id":589046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sechrist, Juddson D.","contributorId":52472,"corporation":false,"usgs":true,"family":"Sechrist","given":"Juddson","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":589047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159879,"text":"70159879 - 2015 - Interactive access to LP DAAC satellite data archives through a combination of open-source and custom middleware web services","interactions":[],"lastModifiedDate":"2017-01-18T09:55:15","indexId":"70159879","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1940,"text":"IEEE Geoscience and Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Interactive access to LP DAAC satellite data archives through a combination of open-source and custom middleware web services","docAbstract":"

Current methods of searching for and retrieving data from satellite land remote sensing archives do not allow for interactive information extraction. Instead, Earth science data users are required to download files over low-bandwidth networks to local workstations and process data before science questions can be addressed. New methods of extracting information from data archives need to become more interactive to meet user demands for deriving increasingly complex information from rapidly expanding archives. Moving the tools required for processing data to computer systems of data providers, and away from systems of the data consumer, can improve turnaround times for data processing workflows. The implementation of middleware services was used to provide interactive access to archive data. The goal of this middleware services development is to enable Earth science data users to access remote sensing archives for immediate answers to science questions instead of links to large volumes of data to download and process. Exposing data and metadata to web-based services enables machine-driven queries and data interaction. Also, product quality information can be integrated to enable additional filtering and sub-setting. Only the reduced content required to complete an analysis is then transferred to the user.

","language":"English","publisher":"IEEE","doi":"10.1109/MGRS.2015.2505999","usgsCitation":"Davis, B.N., Werpy, J., Friesz, A.M., Impecoven, K., Quenzer, R., Maiersperger, T., and Meyer, D.J., 2015, Interactive access to LP DAAC satellite data archives through a combination of open-source and custom middleware web services: IEEE Geoscience and Remote Sensing Letters, v. 3, no. 4, p. 8-20, https://doi.org/10.1109/MGRS.2015.2505999.","productDescription":"13 p.","startPage":"8","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065401","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":324689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577642b0e4b07dd077c87403","contributors":{"authors":[{"text":"Davis, Brian N. bdavis@usgs.gov","contributorId":4720,"corporation":false,"usgs":true,"family":"Davis","given":"Brian","email":"bdavis@usgs.gov","middleInitial":"N.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":580866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werpy, Jason jwerpy@usgs.gov","contributorId":4438,"corporation":false,"usgs":true,"family":"Werpy","given":"Jason","email":"jwerpy@usgs.gov","affiliations":[],"preferred":true,"id":641422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friesz, Aaron M. 0000-0003-4096-3824 afriesz@usgs.gov","orcid":"https://orcid.org/0000-0003-4096-3824","contributorId":5943,"corporation":false,"usgs":true,"family":"Friesz","given":"Aaron","email":"afriesz@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":641423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Impecoven, Kevin","contributorId":172619,"corporation":false,"usgs":false,"family":"Impecoven","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":641424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quenzer, Robert 0000-0002-1886-374X rquenzer@usgs.gov","orcid":"https://orcid.org/0000-0002-1886-374X","contributorId":4041,"corporation":false,"usgs":true,"family":"Quenzer","given":"Robert","email":"rquenzer@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":641425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maiersperger, Tom 0000-0003-3132-6997 tmaiersperger@usgs.gov","orcid":"https://orcid.org/0000-0003-3132-6997","contributorId":3693,"corporation":false,"usgs":true,"family":"Maiersperger","given":"Tom","email":"tmaiersperger@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":641426,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer, David J.","contributorId":149174,"corporation":false,"usgs":false,"family":"Meyer","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":641427,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70159744,"text":"70159744 - 2015 - U.S. States and Territories National Tsunami Hazard Assessment: Historical record and sources for waves – Update","interactions":[],"lastModifiedDate":"2019-08-09T11:19:14","indexId":"70159744","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"U.S. States and Territories National Tsunami Hazard Assessment: Historical record and sources for waves – Update","docAbstract":"

The first U.S. Tsunami Hazard Assessment (Dunbar and Weaver, 2008) was prepared at the request of the National Tsunami Hazard Mitigation Program (NTHMP). The NTHMP is a partnership formed between federal and state agencies to reduce the impact of tsunamis through hazard assessment, warning guidance, and mitigation. The assessment was conducted in response to a 2005 joint report by the Sub-Committee on Disaster Reduction and the U.S. Group on Earth Observations entitled Tsunami Risk Reduction for the United States: A Framework for Action. The first specific action called for in the Framework was to “develop standardized and coordinated tsunami hazard and risk assessments for all coastal regions of the United States and its territories.” Since the first assessment, there have been a number of very significant tsunamis, including the 2009 Samoa, 2010 Chile, and 2011 Japan tsunamis. As a result, the NTHMP requested an update of the U.S. tsunami hazard assessment.

","language":"English","publisher":"National Oceanic and Atmospheric Administration (NOAA)","publisherLocation":"Boulder, CO","usgsCitation":"Dunbar, P.K., and Weaver, C.S., 2015, U.S. States and Territories National Tsunami Hazard Assessment: Historical record and sources for waves – Update, ii, 31 p.","productDescription":"ii, 31 p.","numberOfPages":"38","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064747","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":324596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366423,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://nws.weather.gov/nthmp/documents/Tsunami_Assessment_2016Update.pdf"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5774f307e4b07dd077c6ae24","contributors":{"authors":[{"text":"Dunbar, Paula K.","contributorId":149996,"corporation":false,"usgs":false,"family":"Dunbar","given":"Paula","email":"","middleInitial":"K.","affiliations":[{"id":6637,"text":"National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, 2725 Montlake Blvd E, Seattle, WA 98112","active":true,"usgs":false}],"preferred":false,"id":580335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weaver, Craig S. craig@usgs.gov","contributorId":2690,"corporation":false,"usgs":true,"family":"Weaver","given":"Craig","email":"craig@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":580334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173596,"text":"70173596 - 2015 - An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management","interactions":[],"lastModifiedDate":"2016-06-09T16:01:36","indexId":"70173596","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management","docAbstract":"

Fishery biologists are increasingly recognizing the importance of considering the dynamic nature of streams when developing streamflow policies. Such approaches require information on how flow regimes influence the physical environment and how those factors, in turn, affect species-specific demographic rates. A more cost-effective alternative could be the use of dynamic occupancy models to predict how species are likely to respond to changes in flow. To appraise the efficacy of this approach, we evaluated relative support for hypothesized effects of seasonal streamflow components, stream channel characteristics, and fish species traits on local extinction, colonization, and recruitment (meta-demographic rates) of stream fishes. We used 4 years of seasonal fish collection data from 23 streams to fit multistate, multiseason occupancy models for 42 fish species in the lower Flint River Basin, Georgia. Modelling results suggested that meta-demographic rates were influenced by streamflows, particularly short-term (10-day) flows. Flow effects on meta-demographic rates also varied with stream size, channel morphology, and fish species traits. Small-bodied species with generalized life-history characteristics were more resilient to flow variability than large-bodied species with specialized life-history characteristics. Using this approach, we simplified the modelling framework, thereby facilitating the development of dynamic, spatially explicit evaluations of the ecological consequences of water resource development activities over broad geographic areas. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

","language":"English","doi":"10.1002/rra.2835","usgsCitation":"Peterson, J., and Shea, C., 2015, An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management: River Research and Applications, v. 31, no. 10, p. 1227-1241, https://doi.org/10.1002/rra.2835.","productDescription":"10 p.","startPage":"1227","endPage":"1241","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055636","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Flint River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.8858642578125,\n 30.718226523201352\n ],\n [\n -84.2816162109375,\n 30.7937555812177\n ],\n [\n -84.0234375,\n 31.168159735435708\n ],\n [\n -84.034423828125,\n 31.637013986617973\n ],\n [\n -84.35028076171875,\n 31.800558330295235\n ],\n [\n -84.5672607421875,\n 31.884554393746278\n ],\n [\n -84.85015869140625,\n 31.828565514766165\n ],\n [\n -84.8858642578125,\n 30.718226523201352\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-17","publicationStatus":"PW","scienceBaseUri":"575a932fe4b04f417c275122","contributors":{"authors":[{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, C.P.","contributorId":92885,"corporation":false,"usgs":true,"family":"Shea","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":638342,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173546,"text":"70173546 - 2015 - Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho","interactions":[],"lastModifiedDate":"2016-06-14T14:53:25","indexId":"70173546","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho","docAbstract":"

The lower Kootenai River, Idaho, was sampled during the summers of 2012 and 2013 to evaluate its fish assemblage structure at seven sites within main- and side-channel habitats where large-scale habitat rehabilitation was undertaken. Understanding the current patterns of fish assemblage structure and their relationships with habitat is important for evaluating the effects of past and future rehabilitation projects on the river. Species-specific habitat associations were modeled, and the variables that best explained the occurrence and relative abundance of fish were identified in order to guide future habitat rehabilitation so that it benefits native species. The results indicated that the side-channel habitats supported higher species richness than the main-channel habitats and that nonnative fishes were closely associated with newly rehabilitated habitats. This research provides valuable insight on the current fish assemblages in the Kootenai River and the assemblage-level responses that may occur as a result of future rehabilitation activities.

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2015.1069756","usgsCitation":"Watkins, C.J., Stevens, B.S., Quist, M.C., Shepard, B.B., and Ireland, S., 2015, Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho: Transactions of the American Fisheries Society, v. 144, no. 6, p. 1340-1355, https://doi.org/10.1080/00028487.2015.1069756.","productDescription":"16 p.","startPage":"1340","endPage":"1355","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059550","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.33354187011719,\n 48.679627401760364\n ],\n [\n -116.33354187011719,\n 48.725849974568995\n ],\n [\n -116.17492675781251,\n 48.725849974568995\n ],\n [\n -116.17492675781251,\n 48.679627401760364\n ],\n [\n -116.33354187011719,\n 48.679627401760364\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"57612ab3e4b04f417c2ce4bc","contributors":{"authors":[{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":638743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ireland, Susan C.","contributorId":18244,"corporation":false,"usgs":true,"family":"Ireland","given":"Susan C.","affiliations":[],"preferred":false,"id":638744,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173608,"text":"70173608 - 2015 - Modeling multi-scale resource selection for bear rubs in northwestern Montana","interactions":[],"lastModifiedDate":"2021-09-01T15:41:31.261566","indexId":"70173608","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Modeling multi-scale resource selection for bear rubs in northwestern Montana","docAbstract":"

Both black (Ursus americanus) and grizzly bears (U. arctos) are known to rub on trees and other objects, producing a network of repeatedly used and identifiable rub sites. In 2012, we used a resource selection function to evaluate hypothesized relationships between locations of 887 bear rubs in northwestern Montana, USA, and elevation, slope angle, density of open roads and distance from areas of heightened plant-productivity likely containing forage for bears. Slope and density of open roads were negatively correlated with rub presence. No other covariates were supported as explanatory variables. We also hypothesized that bear rubs would be more strongly associated with closed roads and developed trails than with game trails. The frequencies of bear rubs on 30 paired segments of developed tracks and game trails were not different. Our results suggest bear rubs may be associated with bear travel routes, and support their use as “random” sampling devices for non-invasive spatial capture–recapture population monitoring.

","language":"English","publisher":"International Association for Bear Research and Management","doi":"10.2192/URSUS-D-14-00026.1","usgsCitation":"Morgan, M.J., Hebblewhite, M., Mitchell, M.S., Stetz, J.B., Kendall, K.C., and Carlson, R.T., 2015, Modeling multi-scale resource selection for bear rubs in northwestern Montana: Ursus, v. 26, no. 1, p. 28-39, https://doi.org/10.2192/URSUS-D-14-00026.1.","productDescription":"12 p.","startPage":"28","endPage":"39","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057593","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.78216552734374,\n 47.754097979680026\n ],\n [\n -115.18615722656249,\n 47.80208652719499\n ],\n [\n -115.06805419921876,\n 48.612937834706464\n ],\n [\n -115.059814453125,\n 49.005447494058096\n ],\n [\n -116.0430908203125,\n 49.00004203215395\n ],\n [\n -116.04858398437499,\n 47.97153658265933\n ],\n [\n -115.8673095703125,\n 47.84634433782511\n ],\n [\n -115.78216552734374,\n 47.754097979680026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9333e4b04f417c275166","contributors":{"authors":[{"text":"Morgan, Matthew J.","contributorId":171711,"corporation":false,"usgs":false,"family":"Morgan","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hebblewhite, Mark","contributorId":69455,"corporation":false,"usgs":true,"family":"Hebblewhite","given":"Mark","affiliations":[],"preferred":false,"id":638356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stetz, Jeffrey B.","contributorId":15493,"corporation":false,"usgs":true,"family":"Stetz","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendall, Katherine C. 0000-0002-4831-2287 kkendall@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-2287","contributorId":3081,"corporation":false,"usgs":true,"family":"Kendall","given":"Katherine","email":"kkendall@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":638358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carlson, Ross T.","contributorId":171712,"corporation":false,"usgs":false,"family":"Carlson","given":"Ross","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":638359,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173637,"text":"70173637 - 2015 - Influence of ecological factors on prevalence of meningeal worm (Parelaphostrongylus tenuis infection in South Dakota, USA","interactions":[],"lastModifiedDate":"2016-06-07T11:34:22","indexId":"70173637","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Influence of ecological factors on prevalence of meningeal worm (Parelaphostrongylus tenuis infection in South Dakota, USA","docAbstract":"

The meningeal worm (Parelaphostrongylus tenuis) is a nematode parasite that commonly infects white-tailed deer (Odocoileus virginianus; WTD) throughout the deciduous forest biome and deciduous-coniferous ecotone of eastern and central North America; the species is not known to occur west of the grassland biome of central North America. We used county-specific prevalence data to evaluate potential effects of landscape and climatologic factors on the spatial distribution of meningeal worm infection in South Dakota, US. Probability of infection increased 4-fold between eastern and western South Dakota and 1.3-fold for each 1-cm increase in summer precipitation. Sixty-three percent of WTD had only a single worm in the cranium. Expansion of meningeal worm infection across western South Dakota may be inherently low due to the combined effects of arid climate and potential attributes of the Missouri River that limit regional movements by infected WTD. Use of landscape genetic analyses to identify potential relationships between landscape features and population genetic structure of infected deer and parasites may contribute to a greater understanding of regional heterogeneity in meningeal worm infection rates across South Dakota, particularly in counties adjacent to the Missouri River. Future research evaluating heterogeneity in prevalence and intensity of infection between fawn and yearling deer, and the potential role of yearling male deer as dispersal agents of meningeal worms across the Missouri River, also is warranted.

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hunters","interactions":[],"lastModifiedDate":"2016-06-13T14:58:38","indexId":"70173574","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"The effects of harvest regulations on behaviors of duck hunters","docAbstract":"

Uncertainty exists as to how duck harvest regulations influence waterfowl hunter behavior. We used the U.S. Fish and Wildlife Service’s Parts Collection Survey to examine how harvest regulations affected behaviors of Central Flyway duck hunters. We stratified hunters into ranked groups based on seasonal harvest and identified three periods (1975–1984, 1988–1993, 2002–2011) that represented different harvest regulations (moderate, restrictive, and liberal, respectively; season length and daily bag limits smallest in restrictive seasons and largest in liberal seasons). We examined variability of seven measures of duck hunter behaviors across the periods: days harvesting ducks, daily harvest, hunter mobility, mallard (Anas platyrhynchos) selectivity, gender selectivity, daily female mallard harvest, and timing of harvest. Hunters reported harvesting ducks on more days, at a higher efficiency, and in slightly more counties during liberal seasons relative to restrictive and moderate seasons. We provide evidence to suggest that future regulation change will affect hunter behaviors.

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The use of modeling has become widespread in water resources engineering and science to study rivers, lakes, estuaries, and coastal regions. For example, computer models are commonly used to forecast anthropogenic effects on the environment, and to help provide advanced mitigation measures against catastrophic events such as natural and dam-break floods. Linking hydraulic models to vegetation and habitat models has expanded their use in multidisciplinary applications to the riparian corridor. Implementation of these models in software packages on personal desktop computers has made them accessible to the general engineering community, and their use has been popularized by the need of minimal training due to intuitive graphical user interface front ends. Models are, however, complex and nontrivial, to the extent that even common terminology is sometimes ambiguous and often applied incorrectly. In fact, many efforts are currently under way in order to standardize terminology and offer guidelines for good practice, but none has yet reached unanimous acceptance. This chapter provides a view of the elements involved in modeling surface flows for the application in environmental water resources engineering. It presents the concepts and steps necessary for rational model development and use by starting with the exploration of the ideas involved in defining a model. Tangible form of those ideas is provided by the development of a mathematical and corresponding numerical hydraulic model, which is given with a substantial amount of detail. The issues of model deployment in a practical and productive work environment are also addressed. The chapter ends by presenting a few model applications highlighting the need for good quality control in model validation.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in water resources engineering","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-11023-3_6","usgsCitation":"Simoes, F.J., 2015, Hydraulic modeling development and application in water resources engineering, chap. of Advances in water resources engineering, v. 14, p. 247-295, https://doi.org/10.1007/978-3-319-11023-3_6.","productDescription":"49 p.","startPage":"247","endPage":"295","ipdsId":"IP-057289","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-06","publicationStatus":"PW","scienceBaseUri":"57c9512ee4b0f2f0cec15bef","contributors":{"editors":[{"text":"Yang, Chih Ted","contributorId":51798,"corporation":false,"usgs":true,"family":"Yang","given":"Chih","email":"","middleInitial":"Ted","affiliations":[],"preferred":false,"id":647750,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Lawrence K.","contributorId":174222,"corporation":false,"usgs":false,"family":"Wang","given":"Lawrence","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647751,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647665,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70175692,"text":"70175692 - 2015 - A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model","interactions":[],"lastModifiedDate":"2018-07-24T10:59:55","indexId":"70175692","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model","docAbstract":"

Closed depressions on the land surface can be identified by ‘filling’ a digital elevation model (DEM) and subtracting the filled model from the original DEM. However, automated methods suffer from artificial ‘dams’ where surface streams cross under bridges and through culverts. Removal of these false depressions from an elevation model is difficult due to the lack of bridge and culvert inventories; thus, another method is needed to breach these artificial dams. Here, we present a semi-automated workflow and toolbox to remove falsely detected closed depressions created by artificial dams in a DEM. The approach finds the intersections between transportation routes (e.g., roads) and streams, and then lowers the elevation surface across the roads to stream level allowing flow to be routed under the road. Once the surface is corrected to match the approximate location of the National Hydrologic Dataset stream lines, the procedure is repeated with sequentially smaller flow accumulation thresholds in order to generate stream lines with less contributing area within the watershed. Through multiple iterations, artificial depressions that may arise due to ephemeral flow paths can also be removed. Preliminary results reveal that this new technique provides significant improvements for flow routing across a DEM and minimizes artifacts within the elevation surface. Slight changes in the stream flow lines generally improve the quality of flow routes; however some artificial dams may persist. Problematic areas include extensive road ditches, particularly along divided highways, and where surface flow crosses beneath road intersections. Limitations do exist, and the results partially depend on the quality of data being input. Of 166 manually identified culverts from a previous study by Doctor and Young in 2013, 125 are within 25 m of culverts identified by this tool. After three iterations, 1,735 culverts were identified and cataloged. The result is a reconditioned elevation dataset, which retains the karst topography for further analysis, and a culvert catalog.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","conferenceDate":"October 5-9, 2015","conferenceLocation":"Rochester, MN","language":"English","publisher":"National Cave and Karst Research Institute","doi":"10.5038/9780991000951.1057","usgsCitation":"Wall, J., Doctor, D.H., and Terziotti, S., 2015, A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model, in National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst, Rochester, MN, October 5-9, 2015, p. 255-262, https://doi.org/10.5038/9780991000951.1057.","productDescription":"8 p.","startPage":"255","endPage":"262","ipdsId":"IP-066736","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471533,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarcommons.usf.edu/sinkhole_2015/ProceedingswithProgram/GIS_Databases_and_Maps/5","text":"External Repository"},{"id":328120,"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":"57c7ffade4b0f2f0cebfc214","contributors":{"authors":[{"text":"Wall, John","contributorId":206495,"corporation":false,"usgs":false,"family":"Wall","given":"John","email":"","affiliations":[],"preferred":false,"id":646084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":646083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646085,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175733,"text":"70175733 - 2015 - Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota","interactions":[],"lastModifiedDate":"2016-08-31T11:35:46","indexId":"70175733","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota","docAbstract":"Caves provide direct access to flows through the vadose zone that recharge karst aquifers. Although many recent studies have documented the highly dynamic processes associated with vadose zone flows in karst settings, few have been conducted in mantled karst settings, such as that of southeastern Minnesota. Here we present some results of a long-term program of cave drip monitoring conducted within Mystery Cave, Minnesota. In this study, two perennial ceiling drip sites were monitored between 1997 and 2001. The sites were located about 90 m (300 ft) apart along the same cave passage approximately 18 m (60 ft) below the surface; 7 to 9 m (20 to 30 ft) of loess and 12 m (40 ft) of flat-lying carbonate bedrock strata overlie the cave. Records of drip rate, electrical conductivity, and water temperature were obtained at 15 minute intervals, and supplemented with periodic sampling for major ion chemistry and water stable isotopes. Patterns in flow and geochemistry emerged at each of the two drip sites that were repeated year after year. Although one site responded relatively quickly (within 2-7 hours) to surface recharge events while the other responded more slowly (within 2-5 days), thresholds of antecedent moisture needed to be overcome in order to produce a discharge response at both sites. The greatest amount of flow was observed at both sites during the spring snowmelt period. Rainfall events less than 10 mm (0.4 in) during the summer months generally did not produce a drip discharge response, yet rapid drip responses were observed following intense storm events after periods of prolonged rainfall. The chemical data from both sites indicate that reservoirs of vadose zone water with distinct chemical signatures mixed during recharge events, and drip chemistry returned to a baseline composition during low flow periods. A reservoir with elevated chloride and sulfate concentrations impacts the slow-response drip site with each recharge event, but does not similarly affect the fast-response drip site. Nitrate concentrations in drip waters were generally less than 4.0 mg/L as NO3- (or less than 1 mg/L as N). Nitrate was either stable or slightly increased with drip rate at the fast-response drip site; in contrast, nitrate concentrations decreased with drip rate at the slow-response drip site.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","conferenceDate":"October 5-9, 2015","conferenceLocation":"Rochester, MN","language":"English","publisher":"National Cave and Karst Research Institute","doi":"10.5038/9780991000951.1023","usgsCitation":"Doctor, D.H., Alexander, E.C., Jameson, R.A., and Alexander, S.C., 2015, Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota, in National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst, Rochester, MN, October 5-9, 2015, p. 19-30, https://doi.org/10.5038/9780991000951.1023.","productDescription":"12 p.","startPage":"19","endPage":"30","ipdsId":"IP-066732","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471520,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarcommons.usf.edu/sinkhole_2015/ProceedingswithProgram/Upper_Mississippi_Valley_Karst_Aquifers/3","text":"External Repository"},{"id":328118,"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":"57c7ffb4e4b0f2f0cebfc275","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, E. Calvin Jr.","contributorId":173840,"corporation":false,"usgs":false,"family":"Alexander","given":"E.","suffix":"Jr.","email":"","middleInitial":"Calvin","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":646231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jameson, Roy A.","contributorId":173841,"corporation":false,"usgs":false,"family":"Jameson","given":"Roy","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":646232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Scott C.","contributorId":173842,"corporation":false,"usgs":false,"family":"Alexander","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":646233,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175740,"text":"70175740 - 2015 - Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia","interactions":[],"lastModifiedDate":"2016-08-31T11:31:15","indexId":"70175740","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia","docAbstract":"

The Mid-Atlantic region hosts some of the most mature karst landscapes in North America, developed in highly deformed rocks within the Piedmont and Valley and Ridge physiographic provinces. This guide describes a three-day excursion to examine karst development in various carbonate rocks by following Interstate 70 west from Baltimore across the eastern Piedmont, across the Frederick Valley, and into the Great Valley proper. The localities were chosen in order to examine the structural and lithological controls on karst feature development in marble, limestone, and dolostone rocks with an eye toward the implications for ancient landscape evolution, as well as for modern subsidence hazards. A number of caves will be visited, including two commercial caverns that reveal strikingly different histories of speleogenesis. Links between karst landscape development, hydrologic dynamics, and water resource sustainability will also be emphasized through visits to locally important springs. Recent work on quantitative dye tracing, spring water geochemistry, and groundwater modeling reveal the interaction between shallow and deep circulation of groundwater that has given rise to the modern karst landscape. Geologic and karst feature mapping conducted with the benefit of lidar data help reveal the strong bedrock structural controls on karst feature development, and illustrate the utility of geologic maps for assessment of sinkhole susceptibility.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tripping from the Fall Line: Field Excursions for the GSA Annual Meeting, Baltimore, 2015","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.0040(11)","usgsCitation":"Doctor, D.H., Weary, D.J., Brezinski, D.K., Orndorff, R.C., and Spangler, L.E., 2015, Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia, chap. of Tripping from the Fall Line: Field Excursions for the GSA Annual Meeting, Baltimore, 2015, v. 40, p. 425-484, https://doi.org/10.1130/2015.0040(11).","productDescription":"60 p.","startPage":"425","endPage":"484","ipdsId":"IP-066715","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb7e4b0f2f0cebfc29e","contributors":{"editors":[{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647612,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Halka, Jeffrey","contributorId":96033,"corporation":false,"usgs":true,"family":"Halka","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":647613,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Ortt, Richard A. Jr.","contributorId":174166,"corporation":false,"usgs":false,"family":"Ortt","given":"Richard","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":647614,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":646258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":646260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646262,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174395,"text":"70174395 - 2015 - Adaptive management","interactions":[],"lastModifiedDate":"2021-04-09T17:56:38.925401","indexId":"70174395","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Adaptive management","docAbstract":"

Adaptive management is an approach to natural resource management that emphasizes learning through management where knowledge is incomplete, and when, despite inherent uncertainty, managers and policymakers must act. Unlike a traditional trial and error approach, adaptive management has explicit structure, including a careful elucidation of goals, identification of alternative management objectives and hypotheses of causation, and procedures for the collection of data followed by evaluation and reiteration. The process is iterative, and serves to reduce uncertainty, build knowledge and improve management over time in a goal-oriented and structured process.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Adaptive management of social-ecological systems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-017-9682-8_1","usgsCitation":"Allen, C.R., and Garmestani, A.S., 2015, Adaptive management, chap. of Adaptive management of social-ecological systems, p. 1-10, https://doi.org/10.1007/978-94-017-9682-8_1.","productDescription":"10 p.","startPage":"1","endPage":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075855","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":325002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-25","publicationStatus":"PW","scienceBaseUri":"5784c335e4b0e02680be58f4","contributors":{"editors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":642092,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642093,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":642043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642091,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70113749,"text":"70113749 - 2015 - Diel resource partitioning among juvenile Atlantic Salmon, Brown Trout, and Rainbow Trout during summer","interactions":[],"lastModifiedDate":"2016-07-11T11:39:04","indexId":"70113749","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Diel resource partitioning among juvenile Atlantic Salmon, Brown Trout, and Rainbow Trout during summer","docAbstract":"

Interspecific partitioning of food and habitat resources has been widely studied in stream salmonids. Most studies have examined resource partitioning between two native species or between a native species and one that has been introduced. In this study we examine the diel feeding ecology and habitat use of three species of juvenile salmonids (i.e., Atlantic Salmon Salmo salar, Brown Trout Salmo trutta, and Rainbow Trout Oncorhynchus mykiss) in a tributary of Skaneateles Lake, New York. Subyearling Brown Trout and Rainbow Trout fed more heavily from the drift than the benthos, whereas subyearling Atlantic Salmon fed more from the benthos than either species of trout. Feeding activity of Atlantic Salmon and Rainbow Trout was similar, with both species increasing feeding at dusk, whereas Brown Trout had no discernable feeding peak or trough. Habitat availability was important in determining site-specific habitat use by juvenile salmonids. Habitat selection was greater during the day than at night. The intrastream, diel, intraspecific, and interspecific variation we observed in salmonid habitat use in Grout Brook illustrates the difficulty of acquiring habitat use information for widespread management applications.

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2015.1017121","usgsCitation":"Johnson, J.H., and McKenna, J., 2015, Diel resource partitioning among juvenile Atlantic Salmon, Brown Trout, and Rainbow Trout during summer: North American Journal of Fisheries Management, v. 35, no. 3, p. 586-597, https://doi.org/10.1080/02755947.2015.1017121.","productDescription":"12 p.","startPage":"586","endPage":"597","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057584","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","noUsgsAuthors":false,"publicationDate":"2015-05-27","publicationStatus":"PW","scienceBaseUri":"5784c338e4b0e02680be591e","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":518987,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176485,"text":"70176485 - 2015 - A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission","interactions":[],"lastModifiedDate":"2016-09-19T08:57:02","indexId":"70176485","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2650,"text":"Malaria Journal","active":true,"publicationSubtype":{"id":10}},"title":"A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission","docAbstract":"

Background

Agent-based modelling (ABM) has been used to simulate mosquito life cycles and to evaluate vector control applications. However, most models lack sugar-feeding and resting behaviours or are based on mathematical equations lacking individual level randomness and spatial components of mosquito life. Here, a spatial individual-based model (IBM) incorporating sugar-feeding and resting behaviours of the malaria vector Anopheles gambiae was developed to estimate the impact of environmental sugar sources and resting sites on survival and biting behaviour.

Methods

A spatial IBM containing An. gambiae mosquitoes and humans, as well as the village environment of houses, sugar sources, resting sites and larval habitat sites was developed. Anopheles gambiae behaviour rules were attributed at each step of the IBM: resting, host seeking, sugar feeding and breeding. Each step represented one second of time, and each simulation was set to run for 60 days and repeated 50 times. Scenarios of different densities and spatial distributions of sugar sources and outdoor resting sites were simulated and compared.

Results

When the number of natural sugar sources was increased from 0 to 100 while the number of resting sites was held constant, mean daily survival rate increased from 2.5% to 85.1% for males and from 2.5% to 94.5% for females, mean human biting rate increased from 0 to 0.94 bites per human per day, and mean daily abundance increased from 1 to 477 for males and from 1 to 1,428 for females. When the number of outdoor resting sites was increased from 0 to 50 while the number of sugar sources was held constant, mean daily survival rate increased from 77.3% to 84.3% for males and from 86.7% to 93.9% for females, mean human biting rate increased from 0 to 0.52 bites per human per day, and mean daily abundance increased from 62 to 349 for males and from 257 to 1120 for females. All increases were significant (P < 0.01). Survival was greater when sugar sources were randomly distributed in the whole village compared to clustering around outdoor resting sites or houses.

Conclusions

Increases in densities of sugar sources or outdoor resting sites significantly increase the survival and human biting rates of An. gambiae mosquitoes. Survival of An. gambiae is more supported by random distribution of sugar sources than clustering of sugar sources around resting sites or houses. Density and spatial distribution of natural sugar sources and outdoor resting sites modulate vector populations and human biting rates, and thus malaria parasite transmission.

","language":"English","publisher":"BioMed Central","doi":"10.1186/s12936-015-0555-0","usgsCitation":"Zhu, L., Qualls, W.A., Marshall, J.M., Arheart, K.L., DeAngelis, D.L., McManus, J.W., Traore, S.F., Doumbia, S., Schlein, Y., Muller, G.C., and Beier, J.C., 2015, A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission: Malaria Journal, v. 14, no. 59, Article 59; 10 p., https://doi.org/10.1186/s12936-015-0555-0.","productDescription":"Article 59; 10 p.","ipdsId":"IP-069797","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12936-015-0555-0","text":"Publisher Index 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F.","contributorId":174661,"corporation":false,"usgs":false,"family":"Traore","given":"Sekou","email":"","middleInitial":"F.","affiliations":[{"id":27493,"text":"Malaria Research and Training Center, University of Bamako, Mali","active":true,"usgs":false}],"preferred":false,"id":648920,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doumbia, Seydou","contributorId":174662,"corporation":false,"usgs":false,"family":"Doumbia","given":"Seydou","email":"","affiliations":[{"id":27493,"text":"Malaria Research and Training Center, University of Bamako, Mali","active":true,"usgs":false}],"preferred":false,"id":648921,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schlein, Yosef","contributorId":174663,"corporation":false,"usgs":false,"family":"Schlein","given":"Yosef","email":"","affiliations":[{"id":27494,"text":"Dept. of Microbiology and Molecular Genetics, Hebrew University, Jerusalem, Israel","active":true,"usgs":false}],"preferred":false,"id":648922,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Muller, Gunter C.","contributorId":174664,"corporation":false,"usgs":false,"family":"Muller","given":"Gunter","email":"","middleInitial":"C.","affiliations":[{"id":27494,"text":"Dept. of Microbiology and Molecular Genetics, Hebrew University, Jerusalem, Israel","active":true,"usgs":false}],"preferred":false,"id":648923,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beier, John C.","contributorId":174665,"corporation":false,"usgs":false,"family":"Beier","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":27490,"text":"Dept. of Public Health Sciences, Miller School of Medicine, University of Miami","active":true,"usgs":false}],"preferred":false,"id":648924,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70176497,"text":"70176497 - 2015 - A 2-D process-based model for suspended sediment dynamics: A first step towards ecological modeling","interactions":[],"lastModifiedDate":"2016-09-19T14:35:11","indexId":"70176497","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A 2-D process-based model for suspended sediment dynamics: A first step towards ecological modeling","docAbstract":"

In estuaries suspended sediment concentration (SSC) is one of the most important contributors to turbidity, which influences habitat conditions and ecological functions of the system. Sediment dynamics differs depending on sediment supply and hydrodynamic forcing conditions that vary over space and over time. A robust sediment transport model is a first step in developing a chain of models enabling simulations of contaminants, phytoplankton and habitat conditions.

This works aims to determine turbidity levels in the complex-geometry delta of the San Francisco estuary using a process-based approach (Delft3D Flexible Mesh software). Our approach includes a detailed calibration against measured SSC levels, a sensitivity analysis on model parameters and the determination of a yearly sediment budget as well as an assessment of model results in terms of turbidity levels for a single year, water year (WY) 2011.

Model results show that our process-based approach is a valuable tool in assessing sediment dynamics and their related ecological parameters over a range of spatial and temporal scales. The model may act as the base model for a chain of ecological models assessing the impact of climate change and management scenarios. Here we present a modeling approach that, with limited data, produces reliable predictions and can be useful for estuaries without a large amount of processes data.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-19-2837-2015","usgsCitation":"Achete, F., van der Wegen, M., Roelvink, D., and Jaffe, B., 2015, A 2-D process-based model for suspended sediment dynamics: A first step towards ecological modeling: Hydrology and Earth System Sciences, v. 19, no. 6, p. 2837-2857, https://doi.org/10.5194/hess-19-2837-2015.","productDescription":"21 p.","startPage":"2837","endPage":"2857","ipdsId":"IP-062770","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471516,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-19-2837-2015","text":"Publisher Index Page"},{"id":328732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-19","publicationStatus":"PW","scienceBaseUri":"57f7ee24e4b0bc0bec09e8a5","contributors":{"authors":[{"text":"Achete, F. M.","contributorId":174694,"corporation":false,"usgs":false,"family":"Achete","given":"F. M.","affiliations":[],"preferred":false,"id":649013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Wegen, M.","contributorId":106720,"corporation":false,"usgs":true,"family":"van der Wegen","given":"M.","affiliations":[],"preferred":false,"id":649014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelvink, D.","contributorId":26516,"corporation":false,"usgs":true,"family":"Roelvink","given":"D.","email":"","affiliations":[],"preferred":false,"id":649015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, B.","contributorId":78517,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","affiliations":[],"preferred":false,"id":649016,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176444,"text":"70176444 - 2015 - Cr(VI) occurrence and geochemistry in water from public-supply wells in California","interactions":[],"lastModifiedDate":"2016-09-14T11:36:56","indexId":"70176444","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Cr(VI) occurrence and geochemistry in water from public-supply wells in California","docAbstract":"

Hexavalent chromium, Cr(VI), in 918 wells sampled throughout California between 2004 and 2012 by the Groundwater Ambient Monitoring and Assessment-Priority Basin Project (GAMA-PBP) ranged from less than the study reporting limit of 1 microgram per liter (μg/L) to 32 μg/L. Statewide, Cr(VI) was reported in 31 percent of wells and equaled or exceeded the recently established (2014) California Maximum Contaminant Level (MCL) for Cr(VI) of 10 μg/L in 4 percent of wells. Cr(VI) data collected for regulatory purposes overestimated Cr(VI) occurrence compared to spatially-distributed GAMA-PBP data. Ninety percent of chromium was present as Cr(VI), which was detected more frequently and at higher concentrations in alkaline (pH ≥ 8), oxic water; and more frequently in agricultural and urban land uses compared to native land uses. Chemical, isotopic (tritium and carbon-14), and noble-gas data show high Cr(VI) in water from wells in alluvial aquifers in the southern California deserts result from long groundwater-residence times and geochemical reactions such as silicate weathering that increase pH, while oxic conditions persist. High Cr(VI) in water from wells in alluvial aquifers along the west-side of the Central Valley results from high-chromium in source rock eroded to form those aquifers, and areal recharge processes (including irrigation return) that can mobilize chromium from the unsaturated zone. Cr(VI) co-occurred with oxyanions having similar chemistry, including vanadium, selenium, and uranium. Cr(VI) was positively correlated with nitrate, consistent with increased concentrations in areas of agricultural land use and mobilization of chromium from the unsaturated zone by irrigation return.

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Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":648782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Esser, Bradley K.","contributorId":33161,"corporation":false,"usgs":true,"family":"Esser","given":"Bradley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":648785,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173815,"text":"70173815 - 2015 - Breeding ecology of Wandering Tattlers Tringa incana: a study from south-central Alaska","interactions":[],"lastModifiedDate":"2016-06-13T09:26:51","indexId":"70173815","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3704,"text":"Wader Study Group Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Breeding ecology of Wandering Tattlers Tringa incana: a study from south-central Alaska","docAbstract":"

Montane-nesting shorebirds are arguably the least studied of the Charadriiformes, owing in part to the remoteness of their breeding areas, low nesting densities, and specialized behaviors. We studied a marked population of the Wandering Tattler Tringa incana, during a three-year period (1997–1999) on nesting grounds in south-central Alaska. Two aspects of our results stand out. First is the previously undescribed preference for tattlers to nest several kilometers removed from pre-nesting feeding areas, mostly in association with both small (kettle) lakes and running water (near small distributaries of major drainages). Second is the apparent use of the study area by cohorts of birds of different breeding status, including (1) local breeders, which defended pre-breeding foraging areas, (2) local non-breeding birds, which remained on the area but were not territorial, and (3) transients that were captured later in the season, but not seen again on the area during the season of capture. We also found that (1) birds tended to nest in clusters despite what appeared to be the ample availability of nesting habitat, (2) they employed an inconspicuous’ nesting strategy whereby neither member of a pair betrayed its presence on the nesting area, and (3) females departed the area during early chick-rearing, leaving males to tend broods.

","language":"English","doi":"10.18194/ws.00016","usgsCitation":"Gill, R., Tomkovich, P.S., and Dementyev, M.N., 2015, Breeding ecology of Wandering Tattlers Tringa incana: a study from south-central Alaska: Wader Study Group Bulletin, v. 122, no. 2, p. 99-114, https://doi.org/10.18194/ws.00016.","productDescription":"16 p.","startPage":"99","endPage":"114","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065013","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":323469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323464,"type":{"id":15,"text":"Index Page"},"url":"https://www.waderstudygroup.org/article/7151/"}],"country":"United States","state":"Alaska","otherGeospatial":"Turquoise Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.0550994873047,\n 60.75312148558718\n ],\n [\n -154.0550994873047,\n 60.81077165171808\n ],\n [\n -153.8518524169922,\n 60.81077165171808\n ],\n [\n -153.8518524169922,\n 60.75312148558718\n ],\n [\n -154.0550994873047,\n 60.75312148558718\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92be4b04f417c2baa05","contributors":{"authors":[{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":638494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomkovich, Pavel S.","contributorId":55333,"corporation":false,"usgs":false,"family":"Tomkovich","given":"Pavel","email":"","middleInitial":"S.","affiliations":[{"id":6930,"text":"Zoological Museum of Moscow, MV Lomonosov University, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":638512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dementyev, Maksim N.","contributorId":138560,"corporation":false,"usgs":false,"family":"Dementyev","given":"Maksim","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":638513,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168746,"text":"70168746 - 2015 - Could high salinity be used to control bullfrogs in small ponds?","interactions":[],"lastModifiedDate":"2016-03-02T11:19:31","indexId":"70168746","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2530,"text":"Journal of the Arizona-Nevada Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Could high salinity be used to control bullfrogs in small ponds?","docAbstract":"

We examined survival of bullfrog (Rana catesbeiana) eggs and tadpoles at 3 ppt and 6 ppt salinity in the laboratory to determine if low-level salinity could be used to eradicate bullfrogs from small ponds that contain native fishes. Bullfrog eggs and tadpoles <10 days old experienced 100% mortality when held at 6 ppt salinity for 10 days. Bullfrog tadpoles 10–15 days old experienced significantly reduced survival when exposed to salinity of 6 ppt for 10 days. Older bullfrog tadpoles (>9 months old) appeared unaffected by 14 days of 6 ppt salinity. Salinity of 3 ppt did not impact survival of bullfrog tadpole eggs or tadpoles at any of the life stages we tested. Adding salt to ponds in the early spring to increase salinity to 6 ppt may be a cost effective way to eradicate bullfrogs from small ponds without harming native fishes.

","language":"English","publisher":"The Arizona-Nevada Academy of Science","doi":"10.2181/036.046.0203","usgsCitation":"Ward, D.L., Finch, C., and Blasius, H., 2015, Could high salinity be used to control bullfrogs in small ponds?: Journal of the Arizona-Nevada Academy of Science, v. 46, no. 2, p. 50-52, https://doi.org/10.2181/036.046.0203.","productDescription":"3 p.","startPage":"50","endPage":"52","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059256","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56d81cc2e4b015c306f62bde","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":621625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finch, Colton","contributorId":139961,"corporation":false,"usgs":false,"family":"Finch","given":"Colton","affiliations":[{"id":13334,"text":"Uni. of Florida, Department of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":621753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blasius, Heidi","contributorId":167288,"corporation":false,"usgs":false,"family":"Blasius","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":621754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134006,"text":"70134006 - 2015 - Spatial and temporal migration of a landfill leachate plume in alluvium","interactions":[],"lastModifiedDate":"2018-09-04T15:36:04","indexId":"70134006","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal migration of a landfill leachate plume in alluvium","docAbstract":"

Leachate from unlined or leaky landfills can create groundwater contaminant plumes that last decades to centuries. Understanding the dynamics of leachate movement in space and time is essential for monitoring, planning and management, and assessment of risk to groundwater and surface-water resources. Over a 23.4-year period (1986–2010), the spatial extent of the Norman Landfill leachate plume increased at a rate of 7800 m2/year and expanded by 878 %, from an area of 20,800 m2 in 1986 to 203,400 m2 in 2010. A linear plume velocity of 40.2 m/year was calculated that compared favorably to a groundwater-seepage velocity of 55.2 m/year. Plume-scale hydraulic conductivity values representative of actual hydrogeological conditions in the alluvium ranged from 7.0 × 10−5 to 7.5 × 10−4 m/s, with a median of 2.0 × 10−4 m/s. Analyses of field-measured and calculated plume-scale hydraulic conductivity distributions indicate that the upper percentiles of field-measured values should be considered to assess rates of plume-scale migration, spreading, and biodegradation. A pattern of increasing Cl− concentrations during dry periods and decreasing Cl− concentrations during wet periods was observed in groundwater beneath the landfill. The opposite occurred in groundwater downgradient from the landfill; that is, Cl− concentrations in groundwater downgradient from the landfill decreased during dry periods and increased during wet periods. This pattern of changing Cl−concentrations in response to wet and dry periods indicates that the landfill retains or absorbs leachate during dry periods and produces lower concentrated leachate downgradient. During wet periods, the landfill receives more recharge which dilutes leachate in the landfill but increases leachate migration from the landfill and produces a more concentrated contaminant plume. This approach of quantifying plume expansion, migration, and concentration during variable hydrologic conditions provides increased understanding of plume behavior and migration potential and may be applied at less monitored landfill sites to evaluate potential risks of contamination to downgradient receptors.

","language":"English","publisher":"Springer","doi":"10.1007/s11270-014-2261-x","usgsCitation":"Masoner, J.R., and Cozzarelli, I.M., 2015, Spatial and temporal migration of a landfill leachate plume in alluvium: Water, Air, & Soil Pollution, v. 226, Article 18; 15 p., https://doi.org/10.1007/s11270-014-2261-x.","productDescription":"Article 18; 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043914","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":324927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"226","noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"5780cebfe4b08116168223bc","contributors":{"authors":[{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":525640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":525639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173564,"text":"70173564 - 2015 - Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur","interactions":[],"lastModifiedDate":"2016-06-13T15:27:01","indexId":"70173564","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur","docAbstract":"

Smith's Longspur (Calcarius pictus) is a species of conservation concern which breeds in Arctic habitats that are expected to be especially vulnerable to climate change. We used bird presence and habitat data from point-transect surveys conducted at 12 sites across the Brooks Range, Alaska, 2003–2009, to identify breeding areas, describe local habitat associations, and identify suitable habitat using a predictive model of Smith's Longspur distribution. Smith's Longspurs were observed at seven sites, where they were associated with a variety of sedge–shrub habitats composed primarily of mosses, sedges, tussocks, and dwarf shrubs; erect shrubs were common but sparse. Nonmetric multidimensional scaling ordination of ground cover revealed positive associations of Smith's Longspur presence with sedges and mosses and a negative association with high cover of shrubs. To model predicted distribution, we used boosted regression trees to relate landscape variables to occurrence. Our model predicted that Smith's Longspurs may occur in valleys and foothills of the northeastern and southeastern mountains and in upland plateaus of the western mountains, and farther west than currently documented, over a predicted area no larger than 15% of the Brooks Range. With climate change, shrubs are expected to grow larger and denser, while soil moisture and moss cover are predicted to decrease. These changes may reduce Smith's Longspur habitat quality and limit distribution in the Brooks Range to poorly drained lowlands and alpine plateaus where sedge–shrub tundra is likely to persist. Conversely, northward advance of shrubs into sedge tundra may create suitable habitat, thus supporting a northward longspur distribution shift.

","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-14-77.1","usgsCitation":"Wild, T.C., Kendall, S.J., Guldager, N., and Powell, A.N., 2015, Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur: The Condor, v. 117, no. 1, p. 3-17, https://doi.org/10.1650/CONDOR-14-77.1.","productDescription":"15 p.","startPage":"3","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056888","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92be4b04f417c2baa07","contributors":{"authors":[{"text":"Wild, Teri C.","contributorId":171769,"corporation":false,"usgs":false,"family":"Wild","given":"Teri","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steven J.","contributorId":30911,"corporation":false,"usgs":false,"family":"Kendall","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":638598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guldager, Nikki","contributorId":101981,"corporation":false,"usgs":true,"family":"Guldager","given":"Nikki","email":"","affiliations":[],"preferred":false,"id":638599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby N. 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":171426,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","middleInitial":"N.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173753,"text":"70173753 - 2015 - Population density influences dispersal in female white-tailed deer","interactions":[],"lastModifiedDate":"2016-06-09T13:55:10","indexId":"70173753","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Population density influences dispersal in female white-tailed deer","docAbstract":"

Dispersal behavior in white-tailed deer (Odocoileus virginianus) predominantly occurs in 1-year-old males; however, females of the same age also disperse. The timing of female dispersal during fawning season and low dispersal rates suggest that competition for mates and reduced inbreeding are not ultimate causes of female dispersal, as suggested for males. We proposed that female dispersal is the result of competition for space when pregnant females seek to isolate themselves before and after parturition. To test this hypothesis, we conducted a meta-analysis of female dispersal rates from 12 populations of white-tailed deer and predicted dispersal rate and distance were positively related to deer density. We found a positive relationship between dispersal rate and deer per forested km2 and between dispersal distance and deer per forested km2. These results are consistent with the hypothesis that female dispersal is density-dependent and caused by the exclusion of subordinate 1-year-olds as adult females seek isolation before and after parturition.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyv054","usgsCitation":"Lutz, C.L., Diefenbach, D.R., and Rosenberry, C.S., 2015, Population density influences dispersal in female white-tailed deer: Journal of Mammalogy, v. 96, no. 3, p. 494-501, https://doi.org/10.1093/jmammal/gyv054.","productDescription":"8 p.","startPage":"494","endPage":"501","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058528","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyv054","text":"Publisher Index Page"},{"id":323381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-13","publicationStatus":"PW","scienceBaseUri":"575a9334e4b04f417c275170","contributors":{"authors":[{"text":"Lutz, Clayton L.","contributorId":171653,"corporation":false,"usgs":false,"family":"Lutz","given":"Clayton","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Christopher S.","contributorId":171633,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638219,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173667,"text":"70173667 - 2015 - Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts","interactions":[],"lastModifiedDate":"2016-06-08T10:01:48","indexId":"70173667","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts","docAbstract":"

Ecologists often fit models to survey data to estimate and explain variation in animal abundance. Such models typically require that animal density remains constant across the landscape where sampling is being conducted, a potentially problematic assumption for animals inhabiting dynamic landscapes or otherwise exhibiting considerable spatiotemporal variation in density. We review several concepts from the burgeoning literature on spatiotemporal statistical models, including the nature of the temporal structure (i.e., descriptive or dynamical) and strategies for dimension reduction to promote computational tractability. We also review several features as they specifically relate to abundance estimation, including boundary conditions, population closure, choice of link function, and extrapolation of predicted relationships to unsampled areas. We then compare a suite of novel and existing spatiotemporal hierarchical models for animal count data that permit animal density to vary over space and time, including formulations motivated by resource selection and allowing for closed populations. We gauge the relative performance (bias, precision, computational demands) of alternative spatiotemporal models when confronted with simulated and real data sets from dynamic animal populations. For the latter, we analyze spotted seal (Phoca largha) counts from an aerial survey of the Bering Sea where the quantity and quality of suitable habitat (sea ice) changed dramatically while surveys were being conducted. Simulation analyses suggested that multiple types of spatiotemporal models provide reasonable inference (low positive bias, high precision) about animal abundance, but have potential for overestimating precision. Analysis of spotted seal data indicated that several model formulations, including those based on a log-Gaussian Cox process, had a tendency to overestimate abundance. By contrast, a model that included a population closure assumption and a scale prior on total abundance produced estimates that largely conformed to our a priori expectation. Although care must be taken to tailor models to match the study population and survey data available, we argue that hierarchical spatiotemporal statistical models represent a powerful way forward for estimating abundance and explaining variation in the distribution of dynamical populations.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-0959.1","usgsCitation":"Conn, P.B., Johnson, D.S., Ver Hoef, J.M., Hooten, M., London, J.M., and Boveng, P.L., 2015, Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts: Ecological Monographs, v. 85, no. 2, p. 235-252, https://doi.org/10.1890/14-0959.1.","productDescription":"18 p.","startPage":"235","endPage":"252","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057148","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57594238e4b04f417c2569e2","contributors":{"authors":[{"text":"Conn, Paul B.","contributorId":87440,"corporation":false,"usgs":true,"family":"Conn","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":637825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":167773,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","middleInitial":"S.","affiliations":[{"id":24829,"text":"National Marine Mammal Laboratory, Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington","active":true,"usgs":false}],"preferred":false,"id":637826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ver Hoef, Jay M.","contributorId":42504,"corporation":false,"usgs":true,"family":"Ver Hoef","given":"Jay","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":637475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"London, Joshua M.","contributorId":171522,"corporation":false,"usgs":false,"family":"London","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boveng, Peter L.","contributorId":171523,"corporation":false,"usgs":false,"family":"Boveng","given":"Peter","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637829,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176457,"text":"70176457 - 2015 - In-situ arsenic removal during groundwater recharge through unsaturated alluvium","interactions":[],"lastModifiedDate":"2016-09-14T15:52:30","indexId":"70176457","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"In-situ arsenic removal during groundwater recharge through unsaturated alluvium","docAbstract":"

OBJECTIVES

The purpose of this study was to determine the feasibility and sustainability of in-situ removal of arsenic from water infiltrated through unsaturated alluvium.

BACKGROUND

Arsenic is naturally present in aquifers throughout the southwestern United States and elsewhere. In January 2006, the U.S. Environmental Protection Agency (EPA) lowered the Maximum Contaminant Level (MCL) for arsenic from 50 to 10 micrograms per liter (g/L). This raised concerns about naturally-occurring arsenic in groundwater. Although commercially available systems using sorbent iron or aluminum oxide resins are available to treat high-arsenic water, these systems are expensive to build and operate, and may generate hazardous waste.

Iron and aluminum oxides occur naturally on the surfaces of mineral grains that compose alluvial aquifers. In areas where alluvial deposits are unsaturated, these oxides may sorb arsenic in the same manner as commercial resins, potentially providing an effective low-cost alternative to commercially engineered treatment systems.

APPROACH

The Antelope Valley within the Mojave Desert of southern California contains a shallow water-table aquifer with arsenic concentrations of 5 g/L, and a deeper aquifer with arsenic concentrations of 30 g/L. Water was pumped from the deep aquifer into a pond and infiltrated through an 80 m-thick unsaturated zone as part of field-scale and laboratory experiments to treat high-arsenic groundwater and recharge the shallow water table aquifer at the site.

The field-scale recharge experiment included the following steps: 1) construction of a recharge pond 2) test drilling for sample collection and instrument installation adjacent to the pond 3) monitoring downward migration of water infiltrated from the pond 4) monitoring changes in selected trace-element concentrations as water infiltrated through the unsaturated zone

Data from instruments within the borehole adjacent to the pond were supplemented with borehole and surface geophysical data to evaluate the lateral spreading of water as it moved downward through the unsaturated zone.

Three laboratory studies were undertaken. Sequential extraction was used to evaluate the abundance of iron, aluminum, and manganese oxides and selected trace elements on operationally defined sites on the surfaces of mineral grains collected before and after infiltration from the pond. Secondly, radio-labeled arsenic-73 microcosm experiments evaluated the potential for incorporation of arsenic sorbed to exchange sites on mineral grains into less reactive crystalline mineral structures with time. Finally, column studies evaluated arsenic sorption and the pH dependence of sorption for selected unsaturated zone materials.

RESULTS/CONCLUSIONS

Between December 2010 and July 2012, more than 120,000 cubic meters (m3 ) (about 97 acre-feet) of high-arsenic groundwater was pumped from the deep aquifer into a 0.11 hectare (about 0.27 acres) pond and infiltrated though an 80-meter (about 260 feet) thick unsaturated zone to recharge a water-table aquifer.

Arsenic concentrations were lowered from 30 to 2 g/L as water infiltrated though the unsaturated zone at the site. Some uranium, possibly associated with past agricultural land use at the site, was mobilized to concentrations as high as 66 g/L within the unsaturated zone during the experiment. Uranium was resorbed and the high uranium concentrations did not reach the water table at the site. Concentrations of other trace elements, including antimony, chromium, vanadium, and selenium were low throughout the study.

Infiltration rates from the pond were as high as 0.4 meters per day (1.1 feet per day, ft/d), and the wetting front moved downward about 25 centimeters per day (cm/d) (0.8 ft/d) to a depth of about 50 m (about 165 feet). Clay layers at that depth slowed the downward movement of the wetting front to about 5 cm/d (0.16 ft/d). Lateral movement of the wetting front was monitored using sequential direct-current (DC) surface and sequential electromagnetic (EM) and DC borehole resistivity. Most lateral movement occurred on a clay layer about 50 m (about 165 feet) below land surface. Infiltrated water reached the water table in January 2013. At the water table, the “wetted footprint” of water infiltrated from the pond, indicated by surface resistivity data, was about 13 hectares (about 32 acres). On the basis of data collected at the site, there is enough sorbent material to operate this pond and treat groundwater having an arsenic concentration of 30 g/L to 2 g/L for about 500 years. Toxicity Characteristic Leaching Procedure (TCLP) data showed arsenic concentrations to be below hazardous levels beneath the pond after the experiment. Pond maintenance may be required to keep infiltration rates high, and prevent accumulation of organic material on the pond bottom, although organic material on the pond bottom may increase removal of other trace elements in infiltrated water including chromium, selenium, and vanadium.

Laboratory results are consistent with the field data and show sorption of arsenic in 10 cm (0.3 feet) columns to about 2 g/L over a pH range of 6 to 8, and at influent arsenic concentrations as high as 300 g/L, without breakthrough in 50 pore volumes. Column results suggest that the insitu treatment may remove arsenic in a range of hydrogeologic settings, and would not necessarily be restricted to alkaline alluvial aquifers common throughout the southwestern United States. Radiolabeled arsenic-73 experiments show that although arsenic is initially weakly sorbed (and potentially mobile), with time arsenic is incorporated into amorphous materials. One year after sorption onto surface exchange sites, most sorbed arsenic is incorporated into crystalline oxide minerals on the surfaces of primary mineral grains and is less mobile.

Results of the study suggest that long-term land use restrictions on sites used for in-situ treatment of arsenic may not be needed to control water applied to surface materials. This minimizes some regulatory concerns about future land use at sites used for in-situ arsenic treatment. However, future land uses that may alter reduction-oxidation conditions in the subsurface should be avoided, such as infiltration of stormwater recharge or recharge with other water having high organic carbon concentrations (including unsewered residential land use, dairy or other confined animal operations).

","language":"English","publisher":"Water Resource Foundation","usgsCitation":"O’Leary, D., Izbicki, J.A., Kim, T., Ajawani, C., Suarez, D., Barnes, T., Kulp, T., Burgess, M.K., and Tseng, I., 2015, In-situ arsenic removal during groundwater recharge through unsaturated alluvium, v. 4299, xix, 59 p.","productDescription":"xix, 59 p.","numberOfPages":"80","ipdsId":"IP-046006","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328657,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.waterrf.org/Pages/Projects.aspx?PID=4299"}],"volume":"4299","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57da74b4e4b090824ffb7e4e","contributors":{"authors":[{"text":"O’Leary, David 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":139900,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":648815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, T.J.","contributorId":174624,"corporation":false,"usgs":false,"family":"Kim","given":"T.J.","email":"","affiliations":[{"id":27483,"text":"LA County Department of Public Works","active":true,"usgs":false}],"preferred":false,"id":648816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajawani, Clark","contributorId":174625,"corporation":false,"usgs":false,"family":"Ajawani","given":"Clark","email":"","affiliations":[{"id":27483,"text":"LA County Department of Public Works","active":true,"usgs":false}],"preferred":false,"id":648817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suarez, Donald","contributorId":174626,"corporation":false,"usgs":false,"family":"Suarez","given":"Donald","email":"","affiliations":[{"id":27484,"text":"U.S. Dept. of Agriculture Soil Salinity Laboratory","active":true,"usgs":false}],"preferred":false,"id":648818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnes, Thomas","contributorId":174627,"corporation":false,"usgs":false,"family":"Barnes","given":"Thomas","email":"","affiliations":[{"id":27485,"text":"Antelope Valley East Kern Water District","active":true,"usgs":false}],"preferred":false,"id":648819,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kulp, Thomas","contributorId":174628,"corporation":false,"usgs":false,"family":"Kulp","given":"Thomas","email":"","affiliations":[{"id":27486,"text":"State University of New York, Binghampton","active":true,"usgs":false}],"preferred":false,"id":648820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burgess, Matthew K. 0000-0002-2828-8910 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-2828-8910","contributorId":2115,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":648821,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tseng, Iwen","contributorId":174629,"corporation":false,"usgs":false,"family":"Tseng","given":"Iwen","email":"","affiliations":[{"id":27487,"text":"County of Los Angeles Department of Public Works, Alhambra, CA","active":true,"usgs":false}],"preferred":false,"id":648822,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}