Successfully promoting and encouraging the adoption of environmental stewardship behavior is an important responsibility for public land management agencies. Although people increasingly report high levels of concern about environmental issues, widespread patterns of stewardship behavior have not followed suit (Moore 2002). One concept that can be applied in social science research to explain behavior change is that of values. More specifically, held and assigned values lie at the heart of understanding why people around the world continue to live in unsustainable ways that impact parks and protected areas. A held value is an individual psychological orientation defined by Rokeach as “an enduring belief that a specific mode of conduct or endstate of existence is personally and socially preferable” (1973, 550). Held values are at the core of human cognition, and as such, influence attitudes and behavior. Assigned values on the other hand, according to Brown (1984), are the perceived qualities of an environment that are based on and deduced from held values. In other words, assigned values are considered the material and nonmaterial benefits that people believe they obtain from ecosystems. Held and assigned values predict stewardship behaviors (Figure 1).
During the 2013 George Wright Society Conference on Parks, Protected Areas, and Cultural Sites, we organized a session to improve our understanding of why individuals and groups choose to engage in stewardship behaviors that benefit the environment. We used held and assigned values as vehicles to explore what people cared about in diverse landscapes, review select case studies from across the globe, and question how best to incorporate visitor perspectives into protected area management decisions and policymaking. In addition to sharing project results, we also discussed the importance of accounting for multiple and often competing value perspectives, potential ways to integrate disciplinary perspectives on valuing nature, and future directions for social science research and practice.
In this paper, we present the results from our session to provide fodder for further contemplation about the timely question of how park and protected area managers can foster values that lead to environmental protection.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Engagement, education, and expectations—The future of parks and protected areas: Proceedings of the 2015 George Wright Society Conference on parks, protected areas, and cultural sites","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"George Wright Society Conference on Parks, Protected Areas, and Cultural Sites","conferenceDate":"March 19- April 3, 2015","conferenceLocation":"Oakland, CA","language":"English","publisher":"George Wright Society","publisherLocation":"Hancock, MI","usgsCitation":"van Riper, C.J., Sharp, R., Bagstad, K.J., Vagias, W.M., Kwenye, J., Depper, G., and Freimund, W., 2016, Recreation, values and stewardship: Rethinking why people engage in environmental behaviors in parks and protected areas, chap. 19 of Engagement, education, and expectations—The future of parks and protected areas: Proceedings of the 2015 George Wright Society Conference on parks, protected areas, and cultural sites, p. 117-122.","productDescription":"6 p.","startPage":"117","endPage":"122","ipdsId":"IP-065984","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340079,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/proceedings2015"},{"id":340080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fb1a4de4b0c3010a8087c1","contributors":{"authors":[{"text":"van Riper, Carena J.","contributorId":42827,"corporation":false,"usgs":false,"family":"van Riper","given":"Carena","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":626685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharp, Ryan","contributorId":168598,"corporation":false,"usgs":false,"family":"Sharp","given":"Ryan","email":"","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":626686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":626684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vagias, Wade M.","contributorId":98033,"corporation":false,"usgs":true,"family":"Vagias","given":"Wade","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":626687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwenye, Jane","contributorId":168599,"corporation":false,"usgs":false,"family":"Kwenye","given":"Jane","email":"","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":626688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Depper, Gina","contributorId":168600,"corporation":false,"usgs":false,"family":"Depper","given":"Gina","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":626689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freimund, Wayne","contributorId":168601,"corporation":false,"usgs":false,"family":"Freimund","given":"Wayne","email":"","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":626690,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70189712,"text":"70189712 - 2016 - Money matters: Rapid post-earthquake financial decision-making","interactions":[],"lastModifiedDate":"2017-07-21T09:41:27","indexId":"70189712","displayToPublicDate":"2016-06-14T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5467,"text":"Natural Hazards Observer","active":true,"publicationSubtype":{"id":10}},"title":"Money matters: Rapid post-earthquake financial decision-making","docAbstract":"Post-earthquake financial decision-making is a realm beyond that of many people. In the immediate aftermath of a damaging earthquake, billions of dollars of relief, recovery, and insurance funds are in the balance through new financial instruments that allow those with resources to hedge against disasters and those at risk to limit their earthquake losses and receive funds for response and recovery.
","language":"English","publisher":"Natural Hazards Center: University of Colorado","usgsCitation":"Wald, D.J., and Franco, G., 2016, Money matters: Rapid post-earthquake financial decision-making: Natural Hazards Observer, v. XL, no. 7, p. 24-27.","productDescription":"4 p.","startPage":"24","endPage":"27","ipdsId":"IP-080663","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XL","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597312ade4b0ec1a488718f0","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franco, Guillermo","contributorId":194951,"corporation":false,"usgs":false,"family":"Franco","given":"Guillermo","email":"","affiliations":[],"preferred":false,"id":705897,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70158965,"text":"sir20155135 - 2016 - Modern (1992–2011) and projected (2012–99) peak snowpack and May–July runoff for the Fort Peck Lake and Lake Sakakawea watersheds in the Upper Missouri River Basin","interactions":[],"lastModifiedDate":"2017-10-12T19:57:38","indexId":"sir20155135","displayToPublicDate":"2016-06-14T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5135","title":"Modern (1992–2011) and projected (2012–99) peak snowpack and May–July runoff for the Fort Peck Lake and Lake Sakakawea watersheds in the Upper Missouri River Basin","docAbstract":"Mountain snowpack is an important contributor to runoff in the Upper Missouri River Basin; for example, high amounts of winter and spring precipitation in the mountains and plains in 2010–11 were associated with the peak runoff of record in 2011 in the Upper Missouri River Basin. To project trends in peak mountain snowpack and runoff in the upcoming decades, multiple linear regression models of peak mountain snowpack and total May–July runoff were developed for the Fort Peck Lake (above Fort Peck Dam) and lower Lake Sakakawea watersheds (between Fort Peck and Garrison Dams) in the Upper Missouri River Basin. Input to regression models included seasonal estimates of precipitation, air temperature, and total reference evapotranspiration stratified by elevation. Calibration was based on records from 107 weather stations from 1991 to 2011. Regressed annual peak mountain snowpack was used as input to the transfer function of May–July runoff. Peak snowpack and May–July runoff were projected for 2012–99 on the basis of air temperature and precipitation from the Community Climate System Model (CCSM) output. Two estimates of projected peak snowpack and May–July runoff for 2012–99 were computed: one estimate was based on output from the CCSM, version 3.0 (CCSM3), and the second estimate was based on output from the CCSM, version 4.0 (CCSM4). The significance of projected trends was based on the Kendall’s tau nonparametric test.
\nAnnual peak snowpack was projected to have a downward trend for the Fort Peck Lake watershed and an upward trend for the lower Lake Sakakawea watershed. Projections of May–July runoff had a significant downward trend for the Fort Peck Lake, lower Lake Sakakawea, and Lake Sakakawea (combination of Fort Peck Lake and lower Lake Sakakawea) watersheds. Downward trends in projected May–July runoff indicated that power production at Fort Peck Dam might be affected particularly in the later part of the simulation (2061–99); however, confidence in projected May–July runoff for the later part of the simulation was less certain because bias-corrected air temperatures from CCSM3 and CCSM4 commonly fell outside of the observed range used for calibration. Projected May–July runoff combined for the Fort Peck Lake and lower Lake Sakakawea watersheds were on the order of magnitude of the 2011 flood for 1 simulation year for each of the CCSM-based simulations. High peak snowpack and precipitation in April, May, and June in the plains was associated with large May–July runoff events; therefore, high precipitation at lower elevations in the Fort Peck Lake and lower Lake Sakakawea watersheds was a factor in the simulation of extreme runoff events at the magnitude of the 2011 flood.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155135","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Stamm, J.F.; Todey, Dennis; Mayes Boustead, Barbara; Rossi, Shawn; Norton, P.A.; and Carter, J.M., 2016, Modern (1992–2011) and projected (2012–99) peak snowpack and May–July runoff for the Fort Peck Lake and Lake Sakakawea watersheds in the Upper Missouri River Basin (ver. 1.2, June 2016): U.S. Geological Survey Scientific Investigations Report 2015–5135, 44 p., https://dx.doi.org/10.3133/sir20155135.","productDescription":"Report: vii, 44 p.; 6 Companion Files","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063643","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science 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U.S. Geological Survey
1608 Mountain View Road
Rapid City, South Dakota 57702
Or visit the South Dakota Water Science Center Web site at:
http://sd.water.usgs.gov/
The primary goal of the Trinity River Restoration Program is to rehabilitate the fisheries on the dam-controlled Trinity River. However, maintaining and enhancing other wildlife populations through the restoration initiative is also a key objective. Foothill yellow-legged frogs (Rana boylii) and western pond turtles (Actinemys marmorata) have been identified as important herpetological species on which to focus monitoring efforts due to their status as California state-listed species of concern and potential listing on the U.S. Endangered Species List. We developed and implemented a monitoring strategy for these species specific to the Trinity River with the objectives of establishing baseline values for probabilities of site occupancy, colonization, and local extinction; identifying site characteristics that correlate with the probability of extinction; and estimating overall trends in abundance. Our 3-year study suggests that foothill yellow-legged frogs declined in the probability of site occupancy. Conversely, our results suggest that western pond turtles increased in both abundance and the probability of site occupancy. The short length of our study period makes it difficult to draw firm conclusions, but these results provide much-needed baseline data. Further monitoring and directed studies are required to assess how habitat changes and management decisions relate to the status and trend of these species over the long term.
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Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov/
Longitudinal gradients of fish assemblage and habitat structure were investigated in the Kootenai River of northern Idaho. A total of 43 500-m river reaches was sampled repeatedly with several techniques (boat-mounted electrofishing, hoop nets and benthic trawls) in the summers of 2012 and 2013. Differences in habitat and fish assemblage structure were apparent along the longitudinal gradient of the Kootenai River. Habitat characteristics (e.g. depth, substrate composition and water velocity) were related to fish assemblage structure in three different geomorphic river sections. Upper river sections were characterized by native salmonids (e.g. mountain whitefish Prosopium williamsoni), whereas native cyprinids (peamouth Mylocheilus caurinus, northern pikeminnow Ptychocheilus oregonensis) and non-native fishes (pumpkinseed Lepomis gibbosus, yellow perch Perca flavescens) were common in the downstream section. Overall, a general pattern of species addition from upstream to downstream sections was discovered and is likely related to increased habitat complexity and additions of non-native species in downstream sections. Assemblage structure of the upper sections were similar, but were both dissimilar to the lower section of the Kootenai River. Species-specific hurdle regressions indicated the relationships among habitat characteristics and the predicted probability of occurrence and relative abundance varied by species. Understanding fish assemblage structure in relation to habitat could improve conservation efforts of rare fishes and improve management of coldwater river systems.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2877","usgsCitation":"Smith, C.D., Quist, M.C., and Hardy, R.S., 2016, Fish assemblage structure and habitat associations in a large western river system: River Research and Applications, v. 32, no. 4, p. 622-638, https://doi.org/10.1002/rra.2877.","productDescription":"17 p.","startPage":"622","endPage":"638","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053516","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323543,"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 -117.13623046874999,\n 46.875213396722685\n ],\n [\n -116.01562499999999,\n 46.875213396722685\n ],\n [\n -116.01562499999999,\n 49.05227025601607\n ],\n [\n -117.13623046874999,\n 49.05227025601607\n ],\n [\n -117.13623046874999,\n 46.875213396722685\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-15","publicationStatus":"PW","scienceBaseUri":"575fcb1ee4b04f417c2b266f","contributors":{"authors":[{"text":"Smith, C. D.","contributorId":29785,"corporation":false,"usgs":true,"family":"Smith","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":637295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardy, R. S.","contributorId":171778,"corporation":false,"usgs":false,"family":"Hardy","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638619,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173562,"text":"70173562 - 2016 - Natural disturbance shapes benthic intertidal macroinvertebrate communities of high latitude river deltas","interactions":[],"lastModifiedDate":"2016-06-13T15:32:33","indexId":"70173562","displayToPublicDate":"2016-06-13T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Natural disturbance shapes benthic intertidal macroinvertebrate communities of high latitude river deltas","docAbstract":"Unlike lower latitude coastlines, the estuarine nearshore zones of the Alaskan Beaufort Sea are icebound and frozen up to 9 months annually. This annual freezing event represents a dramatic physical disturbance to fauna living within intertidal sediments. The main objectives of this study were to describe the benthic communities of Beaufort Sea deltas, including temporal changes and trophic structure. Understanding benthic invertebrate communities provided a baseline for concurrent research on shorebird foraging ecology at these sites. We found that despite continuous year-to-year episodes of annual freezing, these estuarine deltas are populated by a range of invertebrates that represent both marine and freshwater assemblages. Freshwater organisms like Diptera and Oligochaeta not only survive this extreme event, but a marine invasion of infaunal organisms such as Amphipoda and Polychaeta rapidly recolonizes the delta mudflats following ice ablation. These delta sediments of sand, silt, and clay are fine in structure compared to sediments of other Beaufort Sea coastal intertidal habitats. The relatively depauperate invertebrate community that ultimately develops is composed of marine and freshwater benthic invertebrates. The composition of the infauna also reflects two strategies that make life on Beaufort Sea deltas possible: a migration of marine organisms from deeper lagoons to the intertidal and freshwater biota that survive the 9-month ice-covered period in frozen sediments. Stable isotopic analyses reveal that both infaunal assemblages assimilate marine and terrestrial sources of organic carbon. These results provide some of the first quantitative information on the infaunal food resources of shallow arctic estuarine systems and the long-term persistence of these invertebrate assemblages. Our data help explain the presence of large numbers of shorebirds in these habitats during the brief summer open-water period and their trophic importance to migrating waterfowl and nearshore populations of estuarine fishes that are the basis of subsistence lifestyles by native inhabitants of the Beaufort Sea coast.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-015-0028-2","usgsCitation":"Churchwell, R.T., Kendall, S.J., Blanchard, A.L., Dunton, K., and Powell, A.N., 2016, Natural disturbance shapes benthic intertidal macroinvertebrate communities of high latitude river deltas: Estuaries and Coasts, v. 39, no. 3, p. 798-814, https://doi.org/10.1007/s12237-015-0028-2.","productDescription":"17 p.","startPage":"798","endPage":"814","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062684","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"575fcb1ee4b04f417c2b2675","contributors":{"authors":[{"text":"Churchwell, Roy T.","contributorId":171773,"corporation":false,"usgs":false,"family":"Churchwell","given":"Roy","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":638606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steve J. 0000-0002-9290-5629","orcid":"https://orcid.org/0000-0002-9290-5629","contributorId":169663,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":638607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchard, Amy L.","contributorId":171774,"corporation":false,"usgs":false,"family":"Blanchard","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunton, Kenneth H.","contributorId":171775,"corporation":false,"usgs":false,"family":"Dunton","given":"Kenneth H.","affiliations":[],"preferred":false,"id":638609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":637344,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171411,"text":"ds1003 - 2016 - Water-quality data and Escherichia coli predictions for selected karst catchments of the upper Duck River watershed in central Tennessee, 2007–10","interactions":[],"lastModifiedDate":"2019-11-07T12:14:29","indexId":"ds1003","displayToPublicDate":"2016-06-13T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1003","title":"Water-quality data and Escherichia coli predictions for selected karst catchments of the upper Duck River watershed in central Tennessee, 2007–10","docAbstract":"The U.S. Geological Survey, in cooperation with the Tennessee Duck River Development Agency, monitored water quality at several locations in the upper Duck River watershed between October 2007 and September 2010. Discrete water samples collected at 24 sites in the watershed were analyzed for water quality, and Escherichia coli (E. coli) and enterococci concentrations. Additional analyses, including the determination of anthropogenic-organic compounds, bacterial concentration of resuspended sediment, and bacterial-source tracking, were performed at a subset of sites. Continuous monitoring of streamflow, turbidity, and specific conductance was conducted at seven sites; a subset of sites also was monitored for water temperature and dissolved oxygen concentration. Multiple-regression models were developed to predict instantaneous E. coli concentrations and loads at sites with continuous monitoring. This data collection effort, along with the E. coli models and predictions, support analyses of the relations among land use, bacteria source and transport, and basin hydrology in the upper Duck River watershed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1003","collaboration":"Prepared in cooperation with the Tennessee Duck River Development Agency","usgsCitation":"Murphy, Jennifer, Farmer, James, and Layton, Alice, 2016, Water-quality data and Escherichia coli predictions for selected karst catchments of the upper Duck River watershed in central Tennessee, 2007–10:\nU.S. Geological Survey Data Series 1003, 17 p., https://dx.doi.org/10.3133/ds1003.","productDescription":"Report: v, 17 p.; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-10-01","ipdsId":"IP-059652","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":438613,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7445JKC","text":"USGS data release","linkHelpText":"Water-quality datasets and E. coli predictions for selected streams in the Upper Duck River Watershed, central Tennessee, 2007-2010"},{"id":323294,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1003/coverthb.jpg"},{"id":323295,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1003/ds1003.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":" Data Series 1003"},{"id":323304,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7445JKC","text":"USGS data release - Water-quality datasets and E. coli predictions for selected streams in the Upper Duck River Watershed, central Tennessee, 2007–10","description":"USGS Data Release"}],"country":"United States","state":"Tennessee","otherGeospatial":"Duck River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.66908264160156,\n 35.45395828344931\n ],\n [\n -86.39579772949219,\n 35.45395828344931\n ],\n [\n -86.39579772949219,\n 35.66566448946006\n ],\n [\n -86.66908264160156,\n 35.66566448946006\n ],\n [\n -86.66908264160156,\n 35.45395828344931\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Ste 100
Nashville, TN 37211
Shifts in the distribution of benthivorous predators provide an indication of underlying environmental changes in benthic-mediated ecosystems. Spectacled Eiders (Somateria fischeri) are benthivorous sea ducks that spend the nonbreeding portion of their annual cycle in the Bering, Chukchi, Beaufort, and East Siberian seas. Sea ducks generally molt in biologically productive areas with abundant prey. If the distribution of eiders at molting areas matches prey abundance, spatial shifts may indicate changes in environmental conditions in the Arctic. We used a randomization procedure to test for shifts in the distribution of satellite telemetry locations received from Spectacled Eiders in the 1990s and 2008–2011 within 4 late-summer, ice-free molting areas: Indigirka–Kolyma, northern Russia; Ledyard Bay, eastern Chukchi Sea; Norton Sound, northeastern Bering Sea; and Mechigmenskiy Gulf, northwestern Bering Sea. We also tested for interannual and interdecadal changes in dive depth required to reach prey, which might affect the energetic costs of foraging during the molting period. Transmitter-marked birds used each molting area in each year, although the distribution of Spectacled Eiders shifted within each area. Interdecadal shifts in Ledyard Bay and Norton Sound decreased dive depth in recent years, although minor differences in depth were biologically negligible in relation to the energetic expense of feather growth. Shifts in Mechigmenskiy Gulf and Indigirka–Kolyma did not occur consistently within or among decades, which suggests greater interannual variability among environmental factors that influence distribution in these areas. Shifts in each molting area suggest dynamic ecosystem processes, with implications for Spectacled Eiders if changes result in novel competition or predation, or in shifting prey regimes.
","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-15-139.1","usgsCitation":"Sexson, M.G., Petersen, M.R., Breed, G.A., and Powell, A.N., 2016, Shifts in the distribution of molting Spectacled Eiders (Somateria fischeri) indicate ecosystem change in the Arctic: The Condor, v. 118, no. 3, p. 463-476, https://doi.org/10.1650/CONDOR-15-139.1.","productDescription":"14 p.","startPage":"463","endPage":"476","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068275","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-15-139.1","text":"Publisher Index Page"},{"id":323491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fcb20e4b04f417c2b2681","contributors":{"authors":[{"text":"Sexson, Matthew G. 0000-0002-1078-0835 msexson@usgs.gov","orcid":"https://orcid.org/0000-0002-1078-0835","contributorId":5544,"corporation":false,"usgs":true,"family":"Sexson","given":"Matthew","email":"msexson@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":638495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":638496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breed, Greg A.","contributorId":181943,"corporation":false,"usgs":false,"family":"Breed","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638497,"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":638498,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173827,"text":"70173827 - 2016 - Refined depositional history and dating of the Tongaporutuan reference section, north Taranaki, New Zealand: new volcanic ash U-Pb zircon ages, biostratigraphy and sedimentation rates","interactions":[],"lastModifiedDate":"2016-06-13T13:39:00","indexId":"70173827","displayToPublicDate":"2016-06-13T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2869,"text":"New Zealand Journal of Geology and Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Refined depositional history and dating of the Tongaporutuan reference section, north Taranaki, New Zealand: new volcanic ash U-Pb zircon ages, biostratigraphy and sedimentation rates","docAbstract":"This study presents new radiometric ages from volcanic ash beds within a c. 1900 m thick, progradational, deep-water clastic slope succession of late Miocene age exposed along the north Taranaki coast of the North Island, New Zealand. The ash beds yield U–Pb zircon ages ranging from 10.63 ± 0.65 Ma to 8.97 ± 0.22 Ma. The new ages are compatible with and provide corroboration of New Zealand Tongaporutuan Stage planktic foraminiferal and bolboformid biostratigraphic events identified in the same section. The close accord between these two age datasets provides a stratigraphically consistent and coherent basis for examining margin evolution. The arrival of a prograding clastic wedge and ensuing upward shoaling is recorded by sedimentation rates c. 2000 m/Ma–1 that are an order of magnitude higher than sedimentation rates on the precursor deep basin floor. This outcrop study provides new constraints for interpreting analogous subsurface deposits in Taranaki Basin and complements the regional late Miocene biostratigraphic dating framework.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00288306.2015.1132744","usgsCitation":"Maier, K., Crundwell, M.P., Coble, M., Kingsley-Smith, P.R., and Graham, S.A., 2016, Refined depositional history and dating of the Tongaporutuan reference section, north Taranaki, New Zealand: new volcanic ash U-Pb zircon ages, biostratigraphy and sedimentation rates: New Zealand Journal of Geology and Geophysics, v. 59, no. 2, p. 313-329, https://doi.org/10.1080/00288306.2015.1132744.","productDescription":"17 p.","startPage":"313","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049381","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470898,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00288306.2015.1132744","text":"Publisher Index Page"},{"id":323487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taranaki","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 173.99322509765625,\n -39.0746437429325\n ],\n [\n 173.99322509765625,\n -38.63725461835643\n ],\n [\n 174.71145629882812,\n -38.63725461835643\n ],\n [\n 174.71145629882812,\n -39.0746437429325\n ],\n [\n 173.99322509765625,\n -39.0746437429325\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"575fcb1fe4b04f417c2b267d","contributors":{"authors":[{"text":"Maier, K.L.","contributorId":51568,"corporation":false,"usgs":true,"family":"Maier","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":638523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crundwell, Martin P.","contributorId":171752,"corporation":false,"usgs":false,"family":"Crundwell","given":"Martin","email":"","middleInitial":"P.","affiliations":[{"id":26939,"text":"GNS Science, Lower Hutt, New Zealand","active":true,"usgs":false}],"preferred":false,"id":638524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coble, Matthew A.","contributorId":86622,"corporation":false,"usgs":true,"family":"Coble","given":"Matthew A.","affiliations":[],"preferred":false,"id":638525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kingsley-Smith, Peter R.","contributorId":99895,"corporation":false,"usgs":true,"family":"Kingsley-Smith","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graham, Stephan A.","contributorId":45902,"corporation":false,"usgs":true,"family":"Graham","given":"Stephan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638527,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173828,"text":"70173828 - 2016 - Comparison of geochemical data obtained using four brine sampling methods at the SECARB Phase III Anthropogenic Test CO2 injection site, Citronelle Oil Field, Alabama","interactions":[],"lastModifiedDate":"2016-06-13T13:26:57","indexId":"70173828","displayToPublicDate":"2016-06-13T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of geochemical data obtained using four brine sampling methods at the SECARB Phase III Anthropogenic Test CO2 injection site, Citronelle Oil Field, Alabama","docAbstract":"The chemical composition of formation water and associated gases from the lower Cretaceous Paluxy Formation was determined using four different sampling methods at a characterization well in the Citronelle Oil Field, Alabama, as part of the Southeast Regional Carbon Sequestration Partnership (SECARB) Phase III Anthropogenic Test, which is an integrated carbon capture and storage project. In this study, formation water and gas samples were obtained from well D-9-8 #2 at Citronelle using gas lift, electric submersible pump, U-tube, and a downhole vacuum sampler (VS) and subjected to both field and laboratory analyses. Field chemical analyses included electrical conductivity, dissolved sulfide concentration, alkalinity, and pH; laboratory analyses included major, minor and trace elements, dissolved carbon, volatile fatty acids, free and dissolved gas species. The formation water obtained from this well is a Na–Ca–Cl-type brine with a salinity of about 200,000 mg/L total dissolved solids. Differences were evident between sampling methodologies, particularly in pH, Fe and alkalinity. There was little gas in samples, and gas composition results were strongly influenced by sampling methods. The results of the comparison demonstrate the difficulty and importance of preserving volatile analytes in samples, with the VS and U-tube system performing most favorably in this aspect.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2016.06.001","usgsCitation":"Conaway, C.H., Thordsen, J., Manning, M.A., Cook, P.J., Trautz, R.C., Thomas, B., and Kharaka, Y.K., 2016, Comparison of geochemical data obtained using four brine sampling methods at the SECARB Phase III Anthropogenic Test CO2 injection site, Citronelle Oil Field, Alabama: International Journal of Coal Geology, v. 162, p. 85-95, https://doi.org/10.1016/j.coal.2016.06.001.","productDescription":"11 p.","startPage":"85","endPage":"95","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075978","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1327451","text":"Publisher Index Page"},{"id":323486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"162","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fcb1de4b04f417c2b2669","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconwaya@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":127598,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconwaya@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manning, Michael A. mmanning@usgs.gov","contributorId":1994,"corporation":false,"usgs":true,"family":"Manning","given":"Michael","email":"mmanning@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Paul J.","contributorId":171753,"corporation":false,"usgs":false,"family":"Cook","given":"Paul","email":"","middleInitial":"J.","affiliations":[{"id":26940,"text":"Lawrence Berkeley National Laboratories Earth Science Division, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":638531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trautz, Robert C.","contributorId":171754,"corporation":false,"usgs":false,"family":"Trautz","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":26941,"text":"Electric Power Research Institute, Palo Alto, CA","active":true,"usgs":false}],"preferred":false,"id":638532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Burt","contributorId":95454,"corporation":false,"usgs":true,"family":"Thomas","given":"Burt","affiliations":[],"preferred":false,"id":638533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638534,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173820,"text":"70173820 - 2016 - Greenhouse gas fluxes of a shallow lake in south-central North Dakota, USA","interactions":[],"lastModifiedDate":"2019-12-14T06:56:24","indexId":"70173820","displayToPublicDate":"2016-06-13T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Greenhouse gas fluxes of a shallow lake in south-central North Dakota, USA","docAbstract":"Greenhouse gas (GHG) fluxes of aquatic ecosystems in the northern Great Plains of the U.S. represent a significant data gap. Consequently, a 3-year study was conducted in south-central North Dakota, USA, to provide an initial estimate of GHG fluxes from a large, shallow lake. Mean GHG fluxes were 0.02 g carbon dioxide (CO2) m−2 h−1, 0.0009 g methane (CH4) m−2 h−1, and 0.0005 mg nitrous oxide (N2O) m−2 h−1. Fluxes of CO2 and CH4 displayed temporal and spatial variability which is characteristic of aquatic ecosystems, while fluxes of N2O were consistently low throughout the study. Comparisons between results of this study and published values suggest that mean daily fluxes of CO2, CH4, and N2O fromLong Lakewere low, particularly when compared to the well-studied prairie pothole wetlands of the region. Similarly, cumulative seasonal CH4 fluxes, which ranged from 2.68–7.58 g CH4 m−2, were relatively low compared to other wetland systems of North America. The observed variability among aquatic ecosystems underscores the need for further research.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0782-3","usgsCitation":"Tangen, B., Finocchiaro, R., Gleason, R.A., and Dahl, C.F., 2016, Greenhouse gas fluxes of a shallow lake in south-central North Dakota, USA: Wetlands, v. 36, no. 4, p. 779-787, https://doi.org/10.1007/s13157-016-0782-3.","productDescription":"9 p.","startPage":"779","endPage":"787","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070255","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":323489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.711669921875,\n 46.475699386607516\n ],\n [\n -99.393310546875,\n 46.475699386607516\n ],\n [\n -99.393310546875,\n 47.03269459852135\n ],\n [\n -100.711669921875,\n 47.03269459852135\n ],\n [\n -100.711669921875,\n 46.475699386607516\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-09","publicationStatus":"PW","scienceBaseUri":"575fcb1ee4b04f417c2b2671","chorus":{"doi":"10.1007/s13157-016-0782-3","url":"http://dx.doi.org/10.1007/s13157-016-0782-3","publisher":"Springer Nature","authors":"Tangen Brian A., Finocchiaro Raymond G., Gleason Robert A., Dahl Charles F.","journalName":"Wetlands","publicationDate":"6/9/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"6/9/2016"},"contributors":{"authors":[{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":638507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finocchiaro, Raymond 0000-0002-5514-8729 rfinocchiaro@usgs.gov","orcid":"https://orcid.org/0000-0002-5514-8729","contributorId":167278,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":638508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":638510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahl, Charles F. cdahl@usgs.gov","contributorId":4052,"corporation":false,"usgs":true,"family":"Dahl","given":"Charles","email":"cdahl@usgs.gov","middleInitial":"F.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":638509,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173830,"text":"70173830 - 2016 - Ashy Storm-Petrel Oceanodroma homochroa mist-netting and capture rates in the California Channel Islands, 2004–2007","interactions":[],"lastModifiedDate":"2016-06-13T12:57:44","indexId":"70173830","displayToPublicDate":"2016-06-13T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Ashy Storm-Petrel Oceanodroma homochroa mist-netting and capture rates in the California Channel Islands, 2004–2007","docAbstract":"The California Channel Islands (CCI) provide essential nesting habitat for a significant portion of the world’s Ashy Storm-Petrel Oceanodroma homochroa (ASSP) breeding population, but true abundance at this locality is not well known. Land-based nocturnal mistnetting has been conducted sporadically in the CCI since 1976, with variation in techniques and methods. Using a standardized catch-perunit-effort (CPUE) is one of the few methods available to monitor trends in relative abundance, but there currently are no guidelines for a standardized, repeatable approach for the CCI. During 2004–2007, I conducted mist-netting for ASSP at three colony sites within the CCI: Scorpion Rock (SR), Santa Barbara Island (SBI), and Prince Island (PI). During 47 site-nights (22 sessions), I obtained 1 177 unique captures, including 34 recaptures (2.9%) of previously banded individuals. ASSP captured at all three islands showed peak proportions of fully developed incubation patches in July and August. ASSP captured in the CCI had 5%–9% lower body mass than individuals captured off central California during the early 1970s; it is not known whether this difference reflects natural inter-annual variation or differences in body condition. ASSP from SBI had the lowest body condition index (BCI) compared with those from PI and SR, indicating different foraging environments. Overall, 22 netting-sessions at three islands yielded a power of 84% to detect a 30% lesser CPUE; 19 sessions would be required in a future effort to evaluate this level of change. Evaluation of additional factors that affect CPUE and other independent measures of abundance or attendance should be included in future mist-netting efforts.
","language":"English","publisher":"Marine Ornithology","usgsCitation":"Adams, J., 2016, Ashy Storm-Petrel Oceanodroma homochroa mist-netting and capture rates in the California Channel Islands, 2004–2007: Marine Ornithology: Journal of Seabird Research and Conservation, v. 44, no. 1, p. 71-82.","productDescription":"12 p.","startPage":"71","endPage":"82","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070513","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":323485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323483,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/cgi-bin/getpage.cgi?vol=current"}],"country":"United States","state":"California","otherGeospatial":"California Channel Islands, San Miguel Island, Santa Barbara Island, Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.57450866699219,\n 34.01282694464169\n ],\n [\n -119.57450866699219,\n 34.06801837800197\n ],\n [\n -119.51545715332031,\n 34.06801837800197\n ],\n [\n -119.51545715332031,\n 34.01282694464169\n ],\n [\n -119.57450866699219,\n 34.01282694464169\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.05265808105469,\n 33.46152056457959\n ],\n [\n -119.05265808105469,\n 33.49130304032286\n ],\n [\n -119.02313232421874,\n 33.49130304032286\n ],\n [\n -119.02313232421874,\n 33.46152056457959\n ],\n [\n -119.05265808105469,\n 33.46152056457959\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.37857055664061,\n 34.04412546508576\n ],\n [\n -120.37857055664061,\n 34.079109226606356\n ],\n [\n -120.32758712768555,\n 34.079109226606356\n ],\n [\n -120.32758712768555,\n 34.04412546508576\n ],\n [\n -120.37857055664061,\n 34.04412546508576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fcb1ce4b04f417c2b2667","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":638539,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173834,"text":"70173834 - 2016 - Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA","interactions":[],"lastModifiedDate":"2016-07-18T21:30:55","indexId":"70173834","displayToPublicDate":"2016-06-13T13:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA","docAbstract":"Predicting changes in species distributions under a changing climate is becoming widespread with the use of species distribution models (SDMs). The resulting predictions of future potential habitat can be cast in light of planned land use changes, such as urban expansion and energy development to identify areas with potential conflict. However, SDMs rarely incorporate an understanding of dispersal capacity, and therefore assume unlimited dispersal in potential range shifts under uncertain climate futures. We use SDMs to predict future distributions of the Mojave ground squirrel, Xerospermophilus mohavensis Merriam, and incorporate partial dispersal models informed by field data on juvenile dispersal to assess projected impact of climate change and energy development on future distributions of X. mohavensis. Our models predict loss of extant habitat, but also concurrent gains of new habitat under two scenarios of future climate change. Under the B1 emissions scenario- a storyline describing a convergent world with emphasis on curbing greenhouse gas emissions- our models predicted losses of up to 64% of extant habitat by 2080, while under the increased greenhouse gas emissions of the A2 scenario, we suggest losses of 56%. New potential habitat may become available to X. mohavensis, thereby offsetting as much as 6330 km2 (50%) of the current habitat lost. Habitat lost due to planned energy development was marginal compared to habitat lost from changing climates, but disproportionately affected current habitat. Future areas of overlap in potential habitat between the two climate change scenarios are identified and discussed in context of proposed energy development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.05.033","usgsCitation":"Inman, R.D., Esque, T., Nussear, K.E., Leitner, P., Matocq, M.D., Weisberg, P.J., and Dilts, T.E., 2016, Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA: Biological Conservation, v. 200, p. 112-121, https://doi.org/10.1016/j.biocon.2016.05.033.","productDescription":"10 p.","startPage":"112","endPage":"121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071079","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":323498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 34\n ],\n [\n -119,\n 38\n ],\n [\n -116,\n 38\n ],\n [\n -116,\n 34\n ],\n [\n -119,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"200","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fcb1ee4b04f417c2b2673","contributors":{"authors":[{"text":"Inman, Richard D. rdinman@usgs.gov","contributorId":3316,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":638567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd C. 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":168763,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":638566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":638568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leitner, Philip","contributorId":31319,"corporation":false,"usgs":true,"family":"Leitner","given":"Philip","email":"","affiliations":[],"preferred":false,"id":638569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matocq, Marjorie D.","contributorId":25482,"corporation":false,"usgs":true,"family":"Matocq","given":"Marjorie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weisberg, Peter J.","contributorId":33631,"corporation":false,"usgs":true,"family":"Weisberg","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638571,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dilts, Thomas E.","contributorId":36833,"corporation":false,"usgs":true,"family":"Dilts","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":638572,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173829,"text":"70173829 - 2016 - Occurrence, morphometrics, and plumage variability among Leach’s Storm-Petrels Oceanodroma leucorhoa in the California Channel Islands, 1976–2015","interactions":[],"lastModifiedDate":"2016-06-13T12:50:50","indexId":"70173829","displayToPublicDate":"2016-06-13T13:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence, morphometrics, and plumage variability among Leach’s Storm-Petrels Oceanodroma leucorhoa in the California Channel Islands, 1976–2015","docAbstract":"We mist-netted and examined Leach’s Storm-Petrels Oceanodroma leucorhoa (LESP) caught during 1991–2015 at three locations in the California Channel Islands (CCI): Prince Island, Santa Barbara-Sutil islands and Scorpion Rock. Although mist-netting methods and effort varied between two study periods (1991–1995, 2004–2007 and 2015), during 750 h effort we captured 41 LESP during April–August, with two of these recaptured after initial banding. The majority (78%) were classified as likely breeders based on a well-developed incubation patch. We summarize island-specific efforts, capture rates and morphological measurements made at these three CCI locations. Captured LESP displayed a multimodal distribution in the overall degree of white rump plumage, with 28% classified as mostly “dark-rumped.” The majority of LESP (72%) captured in the CCI have variable white rumps, similar to what has been reported for northern California and the Farallon Islands. However, the relative proportions of “dark-rumped” individuals captured in the northern CCI is intermediate, within the shift starting at the Farallon Islands and increasing in prevalence toward the San Benito Islands, Baja California. More remains to be learned about LESP in the CCI, for which additional mist-netting efforts are needed, using a standardized approach that targets LESP.
","language":"English","publisher":"Marine Ornithology","usgsCitation":"Adams, J., Carter, H., McChesney, G., and Whitworth, D.L., 2016, Occurrence, morphometrics, and plumage variability among Leach’s Storm-Petrels Oceanodroma leucorhoa in the California Channel Islands, 1976–2015: Marine Ornithology: Journal of Seabird Research and Conservation, v. 44, no. 1, p. 113-119.","productDescription":"7 p.","startPage":"113","endPage":"119","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073212","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":323484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323482,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/cgi-bin/getpage.cgi?vol=current"}],"country":"United States","state":"California","otherGeospatial":"California Channel Islands, San Miguel Island, Santa Barbara Island, Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.57450866699219,\n 34.01282694464169\n ],\n [\n -119.57450866699219,\n 34.06801837800197\n ],\n [\n -119.51545715332031,\n 34.06801837800197\n ],\n [\n -119.51545715332031,\n 34.01282694464169\n ],\n [\n -119.57450866699219,\n 34.01282694464169\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.05265808105469,\n 33.46152056457959\n ],\n [\n -119.05265808105469,\n 33.49130304032286\n ],\n [\n -119.02313232421874,\n 33.49130304032286\n ],\n [\n -119.02313232421874,\n 33.46152056457959\n ],\n [\n -119.05265808105469,\n 33.46152056457959\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.37857055664061,\n 34.04412546508576\n ],\n [\n -120.37857055664061,\n 34.079109226606356\n ],\n [\n -120.32758712768555,\n 34.079109226606356\n ],\n [\n -120.32758712768555,\n 34.04412546508576\n ],\n [\n -120.37857055664061,\n 34.04412546508576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fcb1fe4b04f417c2b2677","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":638535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Harry R.","contributorId":79546,"corporation":false,"usgs":true,"family":"Carter","given":"Harry R.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":638536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McChesney, Gerard","contributorId":171755,"corporation":false,"usgs":false,"family":"McChesney","given":"Gerard","affiliations":[{"id":26942,"text":"Humboldt State University; U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":638537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitworth, Darrell L.","contributorId":87338,"corporation":false,"usgs":true,"family":"Whitworth","given":"Darrell","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173559,"text":"70173559 - 2016 - Anthropogenic disturbance and environmental associations with fish assemblage structure in two nonwadeable rivers","interactions":[],"lastModifiedDate":"2019-12-14T06:55:00","indexId":"70173559","displayToPublicDate":"2016-06-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic disturbance and environmental associations with fish assemblage structure in two nonwadeable rivers","docAbstract":"Nonwadeable rivers are unique ecosystems that support high levels of aquatic biodiversity, yet they have been greatly altered by human activities. Although riverine fish assemblages have been studied in the past, we still have an incomplete understanding of how fish assemblages respond to both natural and anthropogenic influences in large rivers. The purpose of this study was to evaluate associations between fish assemblage structure and reach-scale habitat, dam, and watershed land use characteristics. In the summers of 2011 and 2012, comprehensive fish and environmental data were collected from 33 reaches in the Iowa and Cedar rivers of eastern-central Iowa. Canonical correspondence analysis (CCA) was used to evaluate environmental relationships with species relative abundance, functional trait abundance (e.g. catch rate of tolerant species), and functional trait composition (e.g. percentage of tolerant species). On the basis of partial CCAs, reach-scale habitat, dam characteristics, and watershed land use features explained 25.0–81.1%, 6.2–25.1%, and 5.8–47.2% of fish assemblage variation, respectively. Although reach-scale, dam, and land use factors contributed to overall assemblage structure, the majority of fish assemblage variation was constrained by reach-scale habitat factors. Specifically, mean annual discharge was consistently selected in nine of the 11 CCA models and accounted for the majority of explained fish assemblage variance by reach-scale habitat. This study provides important insight on the influence of anthropogenic disturbances across multiple spatial scales on fish assemblages in large river systems.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2844","usgsCitation":"Parks, T.P., Quist, M.C., and Pierce, C., 2016, Anthropogenic disturbance and environmental associations with fish assemblage structure in two nonwadeable rivers: River Research and Applications, v. 32, no. 1, p. 66-84, https://doi.org/10.1002/rra.2844.","productDescription":"19 p.","startPage":"66","endPage":"84","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043810","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470901,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/97","text":"External Repository"},{"id":323527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Cedar River, Iowa River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.758056640625,\n 41.566141964768384\n ],\n [\n -93.251953125,\n 43.866218006556394\n ],\n [\n -93.779296875,\n 43.691707903073805\n ],\n [\n -92.74658203125,\n 42.47209690919285\n ],\n [\n -91.395263671875,\n 41.376808565702355\n ],\n [\n -91.07666015625,\n 41.31082388091818\n ],\n [\n -90.758056640625,\n 41.566141964768384\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-08","publicationStatus":"PW","scienceBaseUri":"575fcb1be4b04f417c2b2665","contributors":{"authors":[{"text":"Parks, T. P.","contributorId":171776,"corporation":false,"usgs":false,"family":"Parks","given":"T.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":638611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":637298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, C.L. 0000-0001-5088-5431","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":93606,"corporation":false,"usgs":true,"family":"Pierce","given":"C.L.","affiliations":[],"preferred":false,"id":638612,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164457,"text":"fs20153083 - 2016 - Water resources of Washington Parish, Louisiana","interactions":[],"lastModifiedDate":"2016-06-13T16:14:02","indexId":"fs20153083","displayToPublicDate":"2016-06-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3083","title":"Water resources of Washington Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Washington Parish, Louisiana, is critical for proper water-resource management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
\nIn 2010, about 34.55 million gallons per day (Mgal/d) of water were withdrawn in Washington Parish, including about 28.10 Mgal/d from groundwater sources and 6.44 Mgal/d from surface-water sources1 (table 1). Withdrawals for industrial use accounted for about 52 percent (17.80 Mgal/d) of the total water withdrawn (table 2). Other categories of use included public supply, rural domestic, irrigation, and livestock. Water-use data collected at 5-year intervals from 1960 to 2010 (fig. 2) indicated that water withdrawals peaked in 1975 at about 51.9 Mgal/d.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153083","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2016, Water resources of Washington Parish, Louisiana: U.S. Geological Survey Fact Sheet 2015–3083, 6 p., https://dx.doi.org/10.3133/fs20153083.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065602","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":323476,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3083/fs20153083.pdf","text":"Fact Sheet","size":"866 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015–3083"},{"id":323475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3083/coverthb.jpg"}],"country":"United 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Lower Mississippi-Gulf Water Science Center
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3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-06-13","noUsgsAuthors":false,"publicationDate":"2016-06-13","publicationStatus":"PW","scienceBaseUri":"575fcb21e4b04f417c2b2685","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":139067,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","email":"lprakken@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":638515,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173783,"text":"fs20163020 - 2016 - Earthquake outlook for the San Francisco Bay region 2014–2043","interactions":[],"lastModifiedDate":"2017-11-27T12:56:24","indexId":"fs20163020","displayToPublicDate":"2016-06-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3020","title":"Earthquake outlook for the San Francisco Bay region 2014–2043","docAbstract":"
Using information from recent earthquakes, improved mapping of active faults, and a new model for estimating earthquake probabilities, the 2014 Working Group on California Earthquake Probabilities updated the 30-year earthquake forecast for California. They concluded that there is a 72 percent probability (or likelihood) of at least one earthquake of magnitude 6.7 or greater striking somewhere in the San Francisco Bay region before 2043. Earthquakes this large are capable of causing widespread damage; therefore, communities in the region should take simple steps to help reduce injuries, damage, and disruption, as well as accelerate recovery from these earthquakes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163020","usgsCitation":"Aagaard, B.T., Blair, J.L., Boatwright, J., Garcia, S.H., Harris, R.A., Michael, A.J., Schwartz, D.P., and DiLeo, J.S., 2016, Earthquake outlook for the San Francisco Bay region 2014–2043 (ver. 1.1, August 2016): U.S. Geological Survey Fact Sheet 2016–3020, 6 p., https://dx.doi.org/10.3133/fs20163020.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071104","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":326609,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2016/3020/versionHist.txt"},{"id":323400,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3020/fs20163020.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3020"},{"id":323399,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3020/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.46984863281249,\n 36.491973470593685\n ],\n [\n -123.46984863281249,\n 38.852542390364235\n ],\n [\n -121.59667968749999,\n 38.852542390364235\n ],\n [\n -121.59667968749999,\n 36.491973470593685\n ],\n [\n -123.46984863281249,\n 36.491973470593685\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Menlo Park, Calif.
Office—Earthquake Science Center
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345 Middlefield Road, MS 977
Menlo Park, CA 94025
http://earthquake.usgs.gov/
Predation of endangered Lost River suckers (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) during larval egress to Upper Klamath Lake from the Williamson River is poorly understood but may be an important factor limiting recruitment into adult spawning populations. Native and non-native piscivores are abundant in nursery wetland habitat, but larval predation has not been directly studied for all species. Larvae lack hard body structures and digest rapidly in predator digestive systems. Therefore, traditional visual methods for diet analysis may fail to identify the extent of predation on larvae. The goals of this study were to (1) use quantitative polymerase chain reaction (qPCR) and single nucleotide polymorphism (SNP) assays developed for Lost River and shortnose suckers to assay predator stomach contents for sucker DNA, and (2) to assess our ability to use this technique to study predation. Predators were captured opportunistically during larval sucker egress. Concurrent feeding trials indicate that most predators—yellow perch (Perca flaverscens), fathead minnow (Pimephales promelas), blue chub (Gila coerulea), Klamath tui chub (Siphatales bicolor bicolor), Klamath Lake sculpin (Cottus princeps), slender sculpin (Cottus tenuis)—preyed on sucker larvae in the laboratory. However, sucker DNA was not detected in fathead minnow stomachs. Of the stomachs screened from fish captured in the Williamson River Delta, 15.6 percent of yellow perch contained sucker DNA. This study has demonstrated that the application of qPCR and SNP assays is effective for studying predation on larval suckers. We suggest that techniques associated with dissection or detection of sucker DNA from fathead minnow stomachs need improvement.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161094","usgsCitation":"Hereford, D.M., Ostberg, C.O., and Burdick, S.M., 2016, Predation on larval suckers in the Williamson River Delta revealed by molecular genetic assays—A pilot study: U.S. Geological Survey Open-File Report 2016-1094, 16 p., https://dx.doi.org/10.3133/ofr20161094.","productDescription":"iv, 16 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074834","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":323556,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1094/coverthb.jpg"},{"id":323557,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1094/ofr20161094.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1094"}],"country":"United States","state":"Oregon","otherGeospatial":"Williamson River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.95922851562501,\n 42.484504292781125\n ],\n [\n -121.95922851562501,\n 42.5171568649003\n ],\n [\n -121.91493988037108,\n 42.5171568649003\n ],\n [\n -121.91493988037108,\n 42.484504292781125\n ],\n [\n -121.95922851562501,\n 42.484504292781125\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
Lead (Pb) and calcium (Ca) concentrations were measured in fillet samples of longear sunfish (Lepomis megalotis) and redhorse suckers (Moxostoma spp.) collected in 2005–2012 from the Big River, which drains a historical mining area in southeastern Missouri and where a consumption advisory is in effect due to elevated Pb concentrations in fish. Lead tends to accumulated in Ca-rich tissues such as bone and scale. Concentrations of Pb in fish muscle are typically low, but can become elevated in fillets from Pb-contaminated sites depending in part on how much bone, scale, and skin is included in the sample. We used analysis-of-covariance to normalize Pb concentration to the geometric mean Ca concentration (415 ug/g wet weight, ww), which reduced variation between taxa, sites, and years, as was the number of samples that exceeded Missouri consumption advisory threshold (300 ng/g ww). Concentrations of Pb in 2005–2012 were lower than in the past, especially after Ca-normalization, but the consumption advisory is still warranted because concentrations were >300 ng/g ww in samples of both taxa from contaminated sites. For monitoring purposes, a simple linear regression model is proposed for estimating Ca-normalized Pb concentrations in fillets from Pb:Ca molar ratios as a way of reducing the effects of differing preparation methods on fillet Pb variation.
","language":"English","publisher":"Springer","doi":"10.1007/s00128-016-1850-3","usgsCitation":"Schmitt, C.J., and McKee, M., 2016, Concentration trends for lead and calcium-normalized lead in fish fillets from the Big River, a mining-contaminated stream in southeastern Missouri USA: Bulletin of Environmental Contamination and Toxicology, v. 97, no. 5, p. 593-600, https://doi.org/10.1007/s00128-016-1850-3.","productDescription":"8 p.","startPage":"593","endPage":"600","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074165","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":324406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Big River, Flat River, Meramec River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.8333,\n 37.75\n ],\n [\n -90.8333,\n 38.5833\n ],\n [\n -90.25,\n 38.5833\n ],\n [\n -90.25,\n 37.75\n ],\n [\n -90.8333,\n 37.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"97","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-11","publicationStatus":"PW","scienceBaseUri":"57724e2de4b07657d1a8194c","chorus":{"doi":"10.1007/s00128-016-1850-3","url":"http://dx.doi.org/10.1007/s00128-016-1850-3","publisher":"Springer Nature","authors":"Schmitt Christopher J., McKee Michael J.","journalName":"Bulletin of Environmental Contamination and Toxicology","publicationDate":"6/11/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"6/11/2016"},"contributors":{"authors":[{"text":"Schmitt, Christopher J. 0000-0001-6804-2360 cjschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6804-2360","contributorId":491,"corporation":false,"usgs":true,"family":"Schmitt","given":"Christopher","email":"cjschmitt@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":640763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Michael J.","contributorId":59527,"corporation":false,"usgs":true,"family":"McKee","given":"Michael J.","affiliations":[],"preferred":false,"id":640764,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188435,"text":"70188435 - 2016 - Geologic evolution of the lower Connecticut River valley: Influence of bedrock geology, glacial deposits, and sea level","interactions":[],"lastModifiedDate":"2019-12-17T09:42:29","indexId":"70188435","displayToPublicDate":"2016-06-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"seriesTitle":{"id":5421,"text":"Guidebook","active":true,"publicationSubtype":{"id":15}},"seriesNumber":"8","title":"Geologic evolution of the lower Connecticut River valley: Influence of bedrock geology, glacial deposits, and sea level","docAbstract":"This fieldtrip illustrates the character of the lower Connecticut River bedrock valley, in particular its depth, and the lithology and structure of bedrock units it crosses. It examines the character and distribution of the glaciodeltaic terraces that partially fill the valley and discusses the depth of postglacial incision into them.
","language":"English","publisher":"Geological Society of Connecticut","publisherLocation":"Hadlyme, CT","isbn":"9780942081282","usgsCitation":"Stone, J.R., and Lewis, R.S., 2016, Geologic evolution of the lower Connecticut River valley: Influence of bedrock geology, glacial deposits, and sea level: Guidebook 8, 33 p.","productDescription":"33 p.","ipdsId":"IP-069963","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","otherGeospatial":"Lower Connecticut River valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.46049880981445,\n 41.408230864902784\n ],\n [\n -72.4057388305664,\n 41.408230864902784\n ],\n [\n -72.4057388305664,\n 41.45417792338222\n ],\n [\n -72.46049880981445,\n 41.45417792338222\n ],\n [\n -72.46049880981445,\n 41.408230864902784\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593bb3a3e4b0764e6c60e7c1","contributors":{"authors":[{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Ralph S.","contributorId":192778,"corporation":false,"usgs":false,"family":"Lewis","given":"Ralph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":697724,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171327,"text":"ofr20161072 - 2016 - California State Waters Map Series — Monterey Canyon and vicinity, California","interactions":[],"lastModifiedDate":"2022-04-19T18:40:06.435029","indexId":"ofr20161072","displayToPublicDate":"2016-06-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1072","title":"California State Waters Map Series — Monterey Canyon and vicinity, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath bathymetry data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow subsurface geology.
The Monterey Canyon and Vicinity map area lies within Monterey Bay in central California. Monterey Bay is one of the largest embayments along the west coast of the United States, spanning 36 km from its northern to southern tips (in Santa Cruz and Monterey, respectively) and 20 km along its central axis. Not only does it contain one of the broadest sections of continental shelf along California’s coast, it also contains Monterey Canyon, one of the largest and deepest submarine canyons in the world. Note that the California’s State Waters limit extends farther offshore between Santa Cruz and Monterey so that it encompasses all of Monterey Bay.
The coastal area within the map area is lightly populated. The community of Moss Landing (population, 204) hosts the largest commercial fishing fleet in Monterey Bay in its harbor. The map area also includes parts of the cities of Marina (population, about 20,000) and Castroville (population, about 6,500). Fertile lowlands of the Salinas River and Pajaro River valleys largely occupy the inland part of the map area, and land use is primarily agricultural.
The offshore part of the map area lies completely within the Monterey Bay National Marine Sanctuary. The map area also includes Portuguese Ledge and Soquel Canyon State Marine Conservation Areas. Designated conservation and (or) recreation areas in the onshore part of the map area include Salinas River National Wildlife Refuge, Elkhorn Slough State Marine Conservation Area, Elkhorn Slough State Marine Reserve, Moss Landing Wildlife Area, Zmudowski and Salinas River State Beaches, and Marina Dunes Preserve.
Monterey Bay, a geologically complex area within a tectonically active continental margin, lies between two major, converging strike-slip faults. The northwest-striking San Andreas Fault lies about 34 km east of Monterey Bay; this section of the fault ruptured in both the 1989 M6.9 Loma Prieta earthquake and the 1906 M7.8 great California earthquake. The northwest-striking San Gregorio Fault crosses Monterey Canyon west of Monterey Bay. Between these two regional faults, strain is accommodated by the northwest-striking Monterey Bay Fault Zone. Deformation associated with these major regional faults and related structures has resulted in uplift of the Santa Cruz Mountains, as well as the granitic highlands of the Monterey peninsula.
Monterey Canyon begins in the nearshore area directly offshore of Moss Landing and Elkhorn Slough, and it can be traced for more than 400 km seaward, out to water depths of more than 4,000 m. Within the map area, the canyon can be traced for about 42 km to a water depth of about 1,520 m. The head of the canyon consists of three branches that begin about 150 m offshore of Moss Landing Harbor. At 500 m offshore, the canyon is already 70 m deep and 750 m wide. Large sand waves, which have heights from 1 to 3 m and wavelengths of about 50 m, are present along the channel axis in the upper 4 km of the canyon.
Soquel Canyon is the most prominent tributary of Monterey Canyon within the map area. The head of Soquel Canyon is isolated from coastal watersheds and, thus, is considered inactive as a conduit for coarse sediment transport.
North and south of Monterey and Soquel Canyons, the relatively flat continental shelf contains only a few rocky outcrop exposures. Bedrock is covered largely by sediment derived from the Salinas and Pajaro Rivers. North of Monterey Canyon, the broad and flat continental shelf dips gently seaward, to water depths of about 95 m. To the south, the shelf also dips slightly, to water depths of as much as 150 m along the canyon edge.
In the map area, Monterey Canyon splits the Santa Cruz littoral cell (north of the canyon) and the southern Monterey littoral cell (south of the canyon). It is estimated that about 400,000 m3/yr of sand on average enters Monterey Canyon from both of these littoral cells.
In the Santa Cruz littoral cell, sand generally travels east and south. Sand is supplied through sea cliff erosion, as well as from the San Lorenzo River, the Pajaro River, and several other smaller coastal watersheds. About 152,911 m3/yr of sand is dredged from the entrance channel of the Santa Cruz Small Craft Harbor north of the map area and then placed on beaches to the east (downdrift) of it. This sand feeds the beaches in the southeastern reach of the Santa Cruz littoral cell and (or) is eventually trapped and lost by Monterey Canyon.
The southern Monterey Bay littoral cell in the map area consists of two subcells. From the head of Monterey Canyon to the Salinas River, littoral drift is dominantly to the north; sand entering the ocean from the Salinas River either is deposited offshore or travels north in the littoral zone, nourishing the beaches until it is transported down Monterey Canyon. From south of the Salinas River to the southern extent of the map area, coastal sediment is moved mainly to the south; dune erosion is the only significant source of sand in this subcell.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161072","usgsCitation":"Dartnell, P., Maier, K.L., Erdey, M.D., Dieter, B.E., Golden, N.E., Johnson, S.Y., Hartwell, S.R., Cochrane, G.R., Ritchie, A.C., Finlayson, D.P., Kvitek, R.G., Sliter, R.W., Greene, H.G., Davenport, C.W., Endris, C.A., and Krigsman, L.M. (P. Dartnell and S.A. Cochran, eds.), 2016, California State Waters Map Series — Monterey Canyon and Vicinity, California: U.S. Geological Survey Open-File Report 2016–1072, 48 p., 10 sheets, scale 1:24,000, https://dx.doi.org/10.3133/ofr20161072.","productDescription":"Pamphlet: iv, 48 p.; 10 Sheets: 72.75 x 36.00 inches or smaller; Data Catalog; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059488","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438614,"rank":22,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XD0ZQ4","text":"USGS data release","linkHelpText":"California State Waters Map Series Data Catalog--Monterey Canyon and Vicinity, California"},{"id":321805,"rank":20,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20161025","text":"Open-File Report 2016–1025","linkHelpText":"California State Waters Map Series—Offshore of Aptos, California, by Guy R. 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Cochrane and others."},{"id":321801,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sim/3306/","text":"Scientific Investigations Map 3306","linkHelpText":"California State Waters Map Series—Offshore of San Gregorio, California, by Guy R. Cochrane and others."},{"id":321798,"rank":13,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7XD0ZQ4","text":"Data Catalog","linkFileType":{"id":5,"text":"html"},"linkHelpText":"The GIS data layers for this map are accessible from “Data Catalog—Monterey Canyon and Vicinity, California” which is part of California State Waters Map Series Data Catalog. Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":321796,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1072/ofr20161072_sheet9.pdf","text":"Sheet 9","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1072 Sheet 9 PDF","linkHelpText":"Local (Monterey Canyon and Vicinity Map Area) and Regional (Offshore from Pigeon Point to Southern Monterey Bay) Shallow-Subsurface Geology and Structure, California By Katherine L. Maier, Samuel Y. Johnson, Stephen R. Hartwell, Janet T. Watt, and Ray W. Sliter"},{"id":321794,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1072/ofr20161072_sheet7.pdf","text":"Sheet 7","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1072 Sheet 7 PDF","linkHelpText":"Potential Marine Benthic Habitats, Monterey Canyon and Vicinity Map Area, California By Bryan E. Dieter, Charles A. Endris, H. 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Cochrane"},{"id":321791,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1072/ofr20161072_sheet4.pdf","text":"Sheet 4","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1072 Sheet 4 PDF","linkHelpText":"Data Integration and Visualization, Monterey Canyon and Vicinity Map Area, California By Peter Dartnell"},{"id":321790,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1072/ofr20161072_sheet3.pdf","text":"Sheet 3","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1072 Sheet 3 PDF","linkHelpText":"Acoustic Backscatter, Monterey Canyon and Vicinity Map Area, California By Peter Dartnell, Andrew C. Ritchie, David P. Finlayson, and Rikk G. 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Hartwell, and Ray W. Sliter"},{"id":321800,"rank":15,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/781/","text":"Data Series 781","linkHelpText":"California State Waters Map Series Data Catalog"},{"id":321786,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1072/coverthb.jpg"}],"scale":"24000","country":"United States","state":"California","otherGeospatial":"Monterey Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.0628,\n 36.6850\n ],\n [\n -122.0628,\n 36.8469\n ],\n [\n -121.7358,\n 36.8469\n ],\n [\n -121.7358,\n 36.6850\n ],\n [\n -122.0628,\n 36.6850\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
http://walrus.wr.usgs.gov/
","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-06-10","noUsgsAuthors":false,"publicationDate":"2016-06-10","publicationStatus":"PW","scienceBaseUri":"575bd6a0e4b04f417c275edb","contributors":{"editors":[{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":630600,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cochran, Susan A. 0000-0002-2442-8787 scochran@usgs.gov","orcid":"https://orcid.org/0000-0002-2442-8787","contributorId":2062,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","email":"scochran@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science 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gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":630578,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ritchie, Andrew C.","contributorId":139060,"corporation":false,"usgs":false,"family":"Ritchie","given":"Andrew C.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":630579,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":630580,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kvitek, Rikk G.","contributorId":44099,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":630581,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science 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Inside the Equal Access to Justice Act is authored by Lowell E. Baier, an attorney, political scientist, and historian whose conservation portfolio includes the J. N. “Ding” Darling Conservation Award from the National Wildlife Federation (2016), Citizen Conservationist Award from the Association of Fish and Wildlife Agencies (2013), Conservationist of the Year Award from Outdoor Life magazine (2010), and Conservationist of the Year Award from the National Fish and Wildlife Foundation (2008). In the book, Baier stresses the need to reform the Equal Access to Justice Act (EAJA) because of unintended provisions that incentivize and reward environmental litigants for filing suit against federal regulatory and land management agencies, consequentially hindering pro-active, cooperative, conservation efforts. The book is the culmination of several years of legal research, case history analyses, and personal interviews with several key individuals from congress, conservation management agencies, and non-government organizations.
\nReview info: Inside the equal access to justice act: Environmental litigation and the crippling battle over America's lands, endangered species, and critical habitats. By Lowell E. Baier, 2016. ISBN: 978-1442257443, 678 pp.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21109","usgsCitation":"Organ, J.F., 2016, Book review: Inside the Equal Access to Justice Act: Environmental litigation and the crippling battle over America's lands, endangered species, and critical habitats: Journal of Wildlife Management, v. 80, no. 7, p. 1336-1337, https://doi.org/10.1002/jwmg.21109.","productDescription":"2 p.","startPage":"1336","endPage":"1337","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075914","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":324256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-10","publicationStatus":"PW","scienceBaseUri":"576bb6b0e4b07657d1a22873","contributors":{"authors":[{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":152568,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":638505,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70171344,"text":"ofr20161091 - 2016 - Salmon redd identification using environmental DNA (eDNA)","interactions":[],"lastModifiedDate":"2017-11-22T15:49:34","indexId":"ofr20161091","displayToPublicDate":"2016-06-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1091","title":"Salmon redd identification using environmental DNA (eDNA)","docAbstract":"The purpose of this project was to develop a technique to use environmental DNA (eDNA) to distinguish between redds made by Chinook salmon (Oncorhynchus tshawytscha) and redds made by Coho salmon (O. kisutch) and to distinguish utilized redds from test/abandoned redds or scours that have the appearance of redds. The project had two phases:
Phase 1. Develop, test, and optimize a molecular assay for detecting and identifying Coho salmon DNA and differentiating it from Chinook salmon DNA.
Phase 2. Demonstrate the efficacy of the technique.
The Sandy River is a large tributary of the Columbia River. The Sandy River meets the Columbia River approximately 23 km upstream of Portland, Oregon. The Sandy River Basin provides overlapping spawning habitat for both Chinook and Coho salmon.
Samples provided by Portland Water Bureau for analysis were collected from the Bull Run River, Sixes Creek, Still Creek, Arrah Wanna Side Channel, and Side Channel 18.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161091","collaboration":"Prepared in cooperation with Portland Water Bureau","usgsCitation":"Pilliod, D.S., and Laramie, M.B., 2016, Salmon redd identification using environmental DNA (eDNA): U.S. Geological Survey Open-File Report 2016–1091, 25 p., https://dx.doi.org/10.3133/ofr20161091.","productDescription":"iv, 25 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064586","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":323430,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1091/coverthb3.jpg"},{"id":323387,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1091/ofr20161091.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1091"}],"country":"United States","state":"Oregon","otherGeospatial":"Sandy River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.28744506835938,\n 45.298075138707965\n ],\n [\n -122.28744506835938,\n 45.481317798141255\n ],\n [\n -121.84112548828125,\n 45.481317798141255\n ],\n [\n -121.84112548828125,\n 45.298075138707965\n ],\n [\n -122.28744506835938,\n 45.298075138707965\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov/
Because of the jaguar’s (Panthera onca) endangered status under the Endangered Species Act (ESA) of 1973 throughout its range (from Arizona in the north to Argentina in the south), jaguar individuals and populations are monitored to varying degrees throughout their range. Knowledge gained from monitoring jaguars is helpful for wildlife managers who are responsible for conserving this species. The University of Arizona (UA) has conducted a multiyear surveying and monitoring effort for jaguars and ocelots in southern Arizona and New Mexico. The purpose of this work was to establish an effective surveying and monitoring system for jaguars along the United States-Mexico border. Surveying and monitoring in this study focused on the United States side of the border, but the methods could also be used in Mexico. The intent was to develop and implement a surveying and monitoring system that would provide the greatest probability of recording jaguar presence in, and passage through, the border area.
\nThis project established and implemented a noninvasive system for detecting and monitoring jaguars. The study area incorporates most of the mountainous areas north of the United States-Mexico international border and south of Interstate 10, from the Baboquivari Mountains in Arizona to the Animas Mountains in New Mexico. We used two primary methods to detect exact jaguar locations: paired motion-sensor trail cameras, and genetic testing of large carnivore scat collected in the field. We emphasize that this project used entirely noninvasive methods and no jaguars were captured, radiocollared, baited, or harassed in any way. Scat sample collection occurred during the entire field part of the study, but was intensified with the use of a trained scat detection dog following the first jaguar photo detection event (photo detection event was October 2012, scat detection dog began working January 2013). We also collected weather, vegetation, and geographic information system (GIS) data to analyze in conjunction with photo and video data. The results of this study are intended to aid and inform future management and conservation practices for jaguars and ocelots in this region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161095","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Culver, Melanie, 2016, Jaguar surveying and monitoring in the United States (ver. 1.1, November 2016): U.S. Geological Survey Open-File Report 2016–1095, 228 p., https://dx.doi.org/10.3133/ofr20161095.","productDescription":"228 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-075400","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323458,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1095/ofr20161095.pdf","text":"Report","size":"18.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1095"},{"id":323457,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1095/coverthb.jpg"},{"id":330879,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2016/1095/versionHist.txt","size":"708 bytes","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1095 Version History"}],"country":"United States","state":"Arizona, California, New Mexico, Texas","otherGeospatial":"United States - Mexico Border","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.3779296875,\n 33.50475906922606\n ],\n [\n -104.9853515625,\n 32.32427558887655\n ],\n [\n -97.3388671875,\n 27.644606381943326\n ],\n [\n -97.3828125,\n 24.806681353851964\n ],\n [\n -102.26074218749999,\n 27.955591004642553\n ],\n [\n -106.74316406249999,\n 30.29701788337205\n ],\n [\n -117.158203125,\n 31.203404950917395\n ],\n [\n -117.3779296875,\n 33.50475906922606\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Leader, Arizona Cooperative Fish and Wildlife Research Unit
U.S. Geological Survey
325 Biosciences East
Tucson, Arizona 85721
http://www.coopunits.org/Arizona/
The U.S. Geological Survey conducted a bathymetric survey in Little Holland Tract, a flooded agricultural tract, in the northern Sacramento-San Joaquin Delta (the “Delta”) during the summer of 2015. The new bathymetric data were combined with existing data to generate a digital elevation model (DEM) at 1-meter resolution. Little Holland Tract (LHT) was historically diked off for agricultural uses and has been tidally inundated since an accidental levee breach in 1983. Shallow tidal regions such as LHT have the potential to improve habitat quality in the Delta. The DEM of LHT was developed to support ongoing studies of habitat quality in the area and to provide a baseline for evaluating future geomorphic change. The new data comprise 138,407 linear meters of real-time-kinematic (RTK) Global Positioning System (GPS) elevation data, including both bathymetric data collected from personal watercraft and topographic elevations collected on foot at low tide. A benchmark (LHT15_b1) was established for geodetic control of the survey. Data quality was evaluated both by comparing results among surveying platforms, which showed systematic offsets of 1.6 centimeters (cm) or less, and by error propagation, which yielded a mean vertical uncertainty of 6.7 cm. Based on the DEM and time-series measurements of water depth, the mean tidal prism of LHT was determined to be 2,826,000 cubic meters. The bathymetric data and DEM are available at http://dx.doi.org/10.5066/F7RX9954.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161093","usgsCitation":"Snyder, A.G., Lacy, J.R., Stevens, A.W., and Carlson, E.M., 2016, Bathymetric survey and digital elevation model of Little Holland Tract, Sacramento-San Joaquin Delta, California: U.S. Geological Survey Open-File Report 2016‒1093, 14 p., https://dx.doi.org/10.3133/ofr20161093. ","productDescription":"iv, 14 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-071752","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":323417,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1093/ofr20161093.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1093"},{"id":323416,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1093/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.69349670410158,\n 38.27632714009116\n ],\n [\n -121.69349670410158,\n 38.34556060133404\n ],\n [\n -121.64148330688475,\n 38.34556060133404\n ],\n [\n -121.64148330688475,\n 38.27632714009116\n ],\n [\n -121.69349670410158,\n 38.27632714009116\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Pacific Coastal and Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
http://walrus.wr.usgs.gov/