{"pageNumber":"1874","pageRowStart":"46825","pageSize":"25","recordCount":184982,"records":[{"id":70003827,"text":"70003827 - 2010 - Modeling seasonal dynamics of small fish cohorts in fluctuating freshwater marsh landscapes","interactions":[],"lastModifiedDate":"2021-02-02T15:39:07.140549","indexId":"70003827","displayToPublicDate":"2011-12-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling seasonal dynamics of small fish cohorts in fluctuating freshwater marsh landscapes","docAbstract":"<p><span>Small-bodied fishes constitute an important assemblage in many wetlands. In wetlands that dry periodically except for small permanent waterbodies, these fishes are quick to respond to change and can undergo large fluctuations in numbers and biomasses. An important aspect of landscapes that are mixtures of marsh and permanent waterbodies is that high rates of biomass production occur in the marshes during flooding phases, while the permanent waterbodies serve as refuges for many biotic components during the dry phases. The temporal and spatial dynamics of the small fishes are ecologically important, as these fishes provide a crucial food base for higher trophic levels, such as wading birds. We develop a simple model that is analytically tractable, describing the main processes of the spatio-temporal dynamics of a population of small-bodied fish in a seasonal wetland environment, consisting of marsh and permanent waterbodies. The population expands into newly flooded areas during the wet season and contracts during declining water levels in the dry season. If the marsh dries completely during these times (a drydown), the fish need refuge in permanent waterbodies. At least three new and general conclusions arise from the model: (1) there is an optimal rate at which fish should expand into a newly flooding area to maximize population production; (2) there is also a fluctuation amplitude of water level that maximizes fish production, and (3) there is an upper limit on the number of fish that can reach a permanent waterbody during a drydown, no matter how large the marsh surface area is that drains into the waterbody. Because water levels can be manipulated in many wetlands, it is useful to have an understanding of the role of these fluctuations.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-010-9478-x","usgsCitation":"Jopp, F., DeAngelis, D., and Trexler, J.C., 2010, Modeling seasonal dynamics of small fish cohorts in fluctuating freshwater marsh landscapes: Landscape Ecology, v. 25, no. 7, p. 1041-1054, https://doi.org/10.1007/s10980-010-9478-x.","productDescription":"14 p.","startPage":"1041","endPage":"1054","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":382885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-04-28","publicationStatus":"PW","scienceBaseUri":"505a5c28e4b0c8380cd6faa7","contributors":{"authors":[{"text":"Jopp, Fred","contributorId":62336,"corporation":false,"usgs":true,"family":"Jopp","given":"Fred","email":"","affiliations":[],"preferred":false,"id":349043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":349044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":349042,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003332,"text":"70003332 - 2010 - Stimulation of methane generation from nonproductive coal by addition of nutrients or a microbial consortium","interactions":[],"lastModifiedDate":"2018-10-10T09:55:29","indexId":"70003332","displayToPublicDate":"2011-12-06T15:07:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Stimulation of methane generation from nonproductive coal by addition of nutrients or a microbial consortium","docAbstract":"Biogenic formation of methane from coal is of great interest as an underexploited source of clean energy. The goal of some coal bed producers is to extend coal bed methane productivity and to utilize hydrocarbon wastes such as coal slurry to generate new methane. However, the process and factors controlling the process, and thus ways to stimulate it, are poorly understood. Subbituminous coal from a nonproductive well in south Texas was stimulated to produce methane in microcosms when the native population was supplemented with nutrients (biostimulation) or when nutrients and a consortium of bacteria and methanogens enriched from wetland sediment were added (bioaugmentation). The native population enriched by nutrient addition included <i>Pseudomonas</i> spp., <i>Veillonellaceae</i>, and <i>Methanosarcina barkeri</i>. The bioaugmented microcosm generated methane more rapidly and to a higher concentration than the biostimulated microcosm. Dissolved organics, including long-chain fatty acids, single-ring aromatics, and long-chain alkanes accumulated in the first 39 days of the bioaugmented microcosm and were then degraded, accompanied by generation of methane. The bioaugmented microcosm was dominated by <i>Geobacter</i> sp., and most of the methane generation was associated with growth of <i>Methanosaeta concilii</i>. The ability of the bioaugmentation culture to produce methane from coal intermediates was confirmed in incubations of culture with representative organic compounds. This study indicates that methane production could be stimulated at the nonproductive field site and that low microbial biomass may be limiting <i>in situ</i> methane generation. In addition, the microcosm study suggests that the pathway for generating methane from coal involves complex microbial partnerships.","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/AEM.00728-10","usgsCitation":"Jones, E., Voytek, M.A., Corum, M., and Orem, W.H., 2010, Stimulation of methane generation from nonproductive coal by addition of nutrients or a microbial consortium: Applied and Environmental Microbiology, v. 76, no. 21, p. 7013-7022, https://doi.org/10.1128/AEM.00728-10.","productDescription":"10 p.","startPage":"7013","endPage":"7022","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475556,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2976240","text":"External Repository"},{"id":204406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","volume":"76","issue":"21","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9842e4b08c986b31bf2c","contributors":{"authors":[{"text":"Jones, Elizabeth","contributorId":102998,"corporation":false,"usgs":true,"family":"Jones","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":346918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":346917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":346916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":346915,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003737,"text":"70003737 - 2010 - Status of the California condor (Gymnogyps californianus) and efforts to achieve its recovery","interactions":[],"lastModifiedDate":"2018-01-19T16:15:38","indexId":"70003737","displayToPublicDate":"2011-12-06T14:44:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Status of the California condor (<i>Gymnogyps californianus</i>) and efforts to achieve its recovery","title":"Status of the California condor (Gymnogyps californianus) and efforts to achieve its recovery","docAbstract":"The California Condor (<i>Gymnogyps californianus</i>; hereafter \"condor\"; Fig. 1) has long been symbolic of avian conservation in the United States. Its large size, inquisitiveness, and association with remote places make it highly charismatic, and its decline to the brink of extinction aroused a continuing public interest in its plight. By 1982, only 22 individuals remained of this species whose range once encompassed much of North America. The last wild bird was trapped and brought into captivity in 1987, which rendered the species extinct in the wild (Snyder and Snyder 1989). In the 1980s, some questioned whether viable populations could ever again exist in the natural environment, and whether limited conservation funds should be expended on what they viewed as a hopeless cause (Pitelka 1981). Nevertheless, since that low point, a captive-breeding and release program has increased the total population by an order of magnitude, and condors fly free again in California, Arizona, Utah, and Baja California, Mexico (Fig. 2). At this writing (summer 2009), more than 350 condors exist, 180 of which are in the wild (J. Grantham pers. comm.). The free-living birds face severe challenges, however, and receive constant human assistance. The intensive management applied to the free-living populations, as well as the ongoing monitoring and captive-breeding programs, are tremendously expensive and become more so as the population grows. Thus, the program has reached a crossroads, caught between the financial and logistical pressures required to maintain an increasing number of condors in the wild and the environmental problems that preclude establishment of naturally sustainable, free-ranging populations.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2010.127.4.969","usgsCitation":"Walters, J., Derrickson, S.R., Fry, D.M., Haig, S.M., Marzluff, J.M., and Wunderle, J.M., 2010, Status of the California condor (Gymnogyps californianus) and efforts to achieve its recovery: The Auk, v. 127, no. 4, p. 969-1001, https://doi.org/10.1525/auk.2010.127.4.969.","productDescription":"33 p.","startPage":"969","endPage":"1001","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":204512,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b97e9e4b08c986b31bd10","contributors":{"authors":[{"text":"Walters, Jeffrey R.","contributorId":27997,"corporation":false,"usgs":true,"family":"Walters","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":348596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Derrickson, Scott R.","contributorId":102590,"corporation":false,"usgs":true,"family":"Derrickson","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":348600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fry, D. Michael","contributorId":74129,"corporation":false,"usgs":true,"family":"Fry","given":"D.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":348599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":348595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marzluff, John M.","contributorId":52315,"corporation":false,"usgs":true,"family":"Marzluff","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wunderle, Joseph M.","contributorId":60373,"corporation":false,"usgs":true,"family":"Wunderle","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348598,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003374,"text":"70003374 - 2010 - Stakeholder perspectives on land-use strategies for adapting to climate-change-enhanced coastal hazards: Sarasota, Florida","interactions":[],"lastModifiedDate":"2020-09-24T17:19:44.000834","indexId":"70003374","displayToPublicDate":"2011-12-06T14:21:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Stakeholder perspectives on land-use strategies for adapting to climate-change-enhanced coastal hazards: Sarasota, Florida","docAbstract":"<p><span>Sustainable land-use planning requires decision makers to balance community growth with resilience to natural hazards. This balance is especially difficult in many coastal communities where planners must grapple with significant growth projections, the persistent threat of extreme events (e.g., hurricanes), and climate-change-driven sea level rise that not only presents a chronic hazard but also alters the spatial extent of sudden-onset hazards such as hurricanes. We examine these stressors on coastal, long-term land-use planning by reporting the results of a one-day community workshop held in Sarasota County, Florida that included focus groups and participatory mapping exercises. Workshop participants reflected various political agendas and socioeconomic interests of five local knowledge domains: business, environment, emergency management and infrastructure, government, and planning. Through a series of alternating domain-specific focus groups and interactive plenary sessions, participants compared the county 2050 comprehensive land-use plan to maps of contemporary hurricane storm-surge hazard zones and projected storm-surge hazard zones enlarged by sea level rise scenarios. This interactive, collaborative approach provided each group of domain experts the opportunity to combine geographically-specific, scientific knowledge on natural hazards and climate change with local viewpoints and concerns. Despite different agendas, interests, and proposed adaptation strategies, there was common agreement among participants for the need to increase community resilience to contemporary hurricane storm-surge hazards and to explore adaptation strategies to combat the projected, enlarged storm-surge hazard zones.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeog.2010.05.007","usgsCitation":"Frazier, T.G., Wood, N., and Yarnal, B., 2010, Stakeholder perspectives on land-use strategies for adapting to climate-change-enhanced coastal hazards: Sarasota, Florida: Applied Geography, v. 30, no. 4, p. 506-517, https://doi.org/10.1016/j.apgeog.2010.05.007.","productDescription":"12 p.","startPage":"506","endPage":"517","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":204440,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Sarasota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.72499084472656,\n              27.010196431931526\n            ],\n            [\n              -82.25669860839844,\n              27.010196431931526\n            ],\n            [\n              -82.25669860839844,\n              27.502790131319642\n            ],\n            [\n              -82.72499084472656,\n              27.502790131319642\n            ],\n            [\n              -82.72499084472656,\n              27.010196431931526\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b969fe4b08c986b31b605","contributors":{"authors":[{"text":"Frazier, Tim G.","contributorId":64793,"corporation":false,"usgs":true,"family":"Frazier","given":"Tim","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":347046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":71151,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":347047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarnal, Brent","contributorId":31839,"corporation":false,"usgs":true,"family":"Yarnal","given":"Brent","email":"","affiliations":[],"preferred":false,"id":347045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003590,"text":"70003590 - 2010 - Spring migration and summer destinations of northern pintails from the coast of southern California","interactions":[],"lastModifiedDate":"2017-08-30T11:57:17","indexId":"70003590","displayToPublicDate":"2011-12-06T12:17:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Spring migration and summer destinations of northern pintails from the coast of southern California","docAbstract":"<p><span>To examine pathways, timing, and destinations during migration in spring, we attached satellite-monitored transmitters (platform transmitting terminals) to 10 northern pintails (</span><i>Anas acuta</i><span>) during February 2001, at Point Mugu, Ventura County, California. This is a wintering area on the southern coast of California. We obtained locations from five adult males and three adult females every 3rd day through August. Average date of departure from the wintering area was 15 March (</span><i>SE</i><span><span>&nbsp;</span> =  3&nbsp;days). We documented extended stopovers of ≥30&nbsp;days for several northern pintails that could have accommodated nesting attempts (San Joaquin Valley, southwestern Montana, southern Alberta, north-central Nevada) or post-nesting molt (eastern Oregon, south-central Saskatchewan, northern Alaska, central Alberta). Wintering northern pintails from the southern coast of California used a wide range of routes, nesting areas, and schedules during migration in spring, which was consistent with the larger, wintering population in the Central Valley of California. Therefore, conservation of habitat that is targeted at stopover, nesting, and molting areas will benefit survival and management of both wintering populations.</span></p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/KF-11.1","usgsCitation":"Miller, M.R., Takekawa, J.Y., Battaglia, D.S., Golightly, R.T., and Perry, W.M., 2010, Spring migration and summer destinations of northern pintails from the coast of southern California: Southwestern Naturalist, v. 55, no. 4, p. 501-509, https://doi.org/10.1894/KF-11.1.","productDescription":"9 p.","startPage":"501","endPage":"509","temporalStart":"2001-02-01","temporalEnd":"2001-08-31","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204208,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"55","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b961de4b08c986b31b2da","contributors":{"authors":[{"text":"Miller, Michael R.","contributorId":45796,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12709,"text":"Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":347853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":347851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battaglia, Daniel S.","contributorId":78461,"corporation":false,"usgs":true,"family":"Battaglia","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":347855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Golightly, Richard T.","contributorId":56783,"corporation":false,"usgs":false,"family":"Golightly","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":347854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, William M. 0000-0002-6180-8180 wmperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6180-8180","contributorId":5124,"corporation":false,"usgs":true,"family":"Perry","given":"William","email":"wmperry@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":347852,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003378,"text":"70003378 - 2010 - Seismotectonics and fault structure of the California Central Coast","interactions":[],"lastModifiedDate":"2023-10-17T00:50:24.447406","indexId":"70003378","displayToPublicDate":"2011-12-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismotectonics and fault structure of the California Central Coast","docAbstract":"I present and interpret new earthquake relocations and focal mechanisms for the California Central Coast. The relocations improve upon catalog locations by using 3D seismic velocity models to account for lateral variations in structure and by using relative arrival times from waveform cross-correlation and double-difference methods to image seismicity features more sharply. Focal mechanisms are computed using ray tracing in the 3D velocity models. Seismicity alignments on the Hosgri fault confirm that it is vertical down to at least 12 km depth, and the focal mechanisms are consistent with right-lateral strike-slip motion on a vertical fault. A prominent, newly observed feature is an ~25 km long linear trend of seismicity running just offshore and parallel to the coastline in the region of Point Buchon, informally named the Shoreline fault. This seismicity trend is accompanied by a linear magnetic anomaly, and both the seismicity and the magnetic anomaly end where they obliquely meet the Hosgri fault. Focal mechanisms indicate that the Shoreline fault is a vertical strike-slip fault. Several seismicity lineations with vertical strike-slip mechanisms are observed in Estero Bay. Events greater than about 10 km depth in Estero Bay, however, exhibit reverse-faulting mechanisms, perhaps reflecting slip at the top of the remnant subducted slab. Strike-slip mechanisms are observed offshore along the Hosgri&ndash;San Simeon fault system and onshore along the West Huasna and Rinconada faults, while reverse mechanisms are generally confined to the region between these two systems. This suggests a model in which the reverse faulting is primarily due to restraining left-transfer of right-lateral slip.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120090307","usgsCitation":"Hardebeck, J.L., 2010, Seismotectonics and fault structure of the California Central Coast: Bulletin of the Seismological Society of America, v. 100, no. 3, p. 1031-1050, https://doi.org/10.1785/0120090307.","productDescription":"20 p.","startPage":"1031","endPage":"1050","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":421924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.6751223157153,\n              36.66552588248179\n            ],\n            [\n              -121.6751223157153,\n              34.37673583827396\n            ],\n            [\n              -120,\n              34.37673583827396\n            ],\n            [\n              -120,\n              36.66552588248179\n            ],\n            [\n              -121.6751223157153,\n              36.66552588248179\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"100","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-05-14","publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa845","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":347061,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70007122,"text":"70007122 - 2010 - A role for analytical chemistry in advancing our understanding of the occurrence, fate, and effects of Corexit Oil Dispersants","interactions":[],"lastModifiedDate":"2021-05-28T15:15:31.942135","indexId":"70007122","displayToPublicDate":"2011-12-01T20:41:10","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A role for analytical chemistry in advancing our understanding of the occurrence, fate, and effects of Corexit Oil Dispersants","docAbstract":"On April 24, 2010, the sinking of the Deepwater Horizon oil rig resulted in the release of oil into the Gulf of Mexico. As of July 19, 2010, the federal government's Deepwater Horizon Incident Joint Information Center estimates the cumulative range of oil released is 3,067,000 to 5,258,000 barrels, with a relief well to be completed in early August. By comparison, the Exxon Valdez oil spill released a total of 260,000 barrels of crude oil into the environment. As of June 9, BP has used over 1 million gallons of Corexit oil dispersants to solubilize oil and help prevent the development of a surface oil slick. Oil dispersants are mixtures containing solvents and surfactants that can exhibit toxicity toward aquatic life and may enhance the toxicity of components of weathered crude oil. Detailed knowledge of the composition of both Corexit formulations and other dispersants applied in the Gulf will facilitate comprehensive monitoring programs for determining the occurrence, fate, and biological effects of the dispersant chemicals. The lack of information on the potential impacts of oil dispersants has caught industry, federal, and state officials off guard. Until compositions of Corexit 9500 and 9527 were released by the U.S. Environmental Protection Agency online, the only information available consisted of Material Safety Data Sheets (MSDS), patent documentation, and a National Research Council report on oil dispersants. Several trade and common names are used for the components of the Corexits. For example, Tween 80 and Tween 85 are oligomeric mixtures.","language":"English","publisher":"ACS Publications","doi":"10.1021/es102319w","usgsCitation":"Place, B., Anderson, B., Mekebri, A., Furlong, E.T., Gray, J.L., Tjeerdema, R., and Field, J., 2010, A role for analytical chemistry in advancing our understanding of the occurrence, fate, and effects of Corexit Oil Dispersants: Environmental Science & Technology, v. 44, no. 16, p. 6016-6018, https://doi.org/10.1021/es102319w.","productDescription":"3 p.","startPage":"6016","endPage":"6018","costCenters":[{"id":140,"text":"Branch of Analytical Serv (National Water Quality Laboratory)","active":false,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204591,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"16","noUsgsAuthors":false,"publicationDate":"2010-07-27","publicationStatus":"PW","scienceBaseUri":"5059e565e4b0c8380cd46d32","contributors":{"authors":[{"text":"Place, Ben","contributorId":103791,"corporation":false,"usgs":true,"family":"Place","given":"Ben","email":"","affiliations":[],"preferred":false,"id":355878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Brian","contributorId":55573,"corporation":false,"usgs":true,"family":"Anderson","given":"Brian","affiliations":[],"preferred":false,"id":355876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mekebri, Abdou","contributorId":41587,"corporation":false,"usgs":true,"family":"Mekebri","given":"Abdou","email":"","affiliations":[],"preferred":false,"id":355875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":355872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":355873,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tjeerdema, Ron","contributorId":83661,"corporation":false,"usgs":true,"family":"Tjeerdema","given":"Ron","affiliations":[],"preferred":false,"id":355877,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Field, Jennifer","contributorId":34650,"corporation":false,"usgs":true,"family":"Field","given":"Jennifer","affiliations":[],"preferred":false,"id":355874,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003982,"text":"70003982 - 2010 - Source and fate of inorganic solutes in the Gibbon River, Yellowstone National Park, Wyoming, USA. II. Trace element chemistry","interactions":[],"lastModifiedDate":"2018-10-11T10:14:55","indexId":"70003982","displayToPublicDate":"2011-12-01T16:34:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Source and fate of inorganic solutes in the Gibbon River, Yellowstone National Park, Wyoming, USA. II. Trace element chemistry","docAbstract":"The Gibbon River in Yellowstone National Park receives inflows from several geothermal areas, and consequently the concentrations of many trace elements are elevated compared to rivers in non-geothermal watersheds. Water samples and discharge measurements were obtained from the Gibbon River and its major tributaries near Norris Geyser Basin under the low-flow conditions of September 2006 allowing for the identification of solute sources and their downstream fate. Norris Geyser Basin, and in particular Tantalus Creek, is the largest source of many trace elements (Al, As, B, Ba, Br, Cs, Hg, Li, Sb, Tl, W, and REEs) to the Gibbon River. The Chocolate Pots area is a major source of Fe and Mn, and the lower Gibbon River near Terrace Spring is the major source of Be and Mo. Some of the elevated trace elements are aquatic health concerns (As, Sb, and Hg) and knowing their fate is important. Most solutes in the Gibbon River, including As and Sb, behave conservatively or are minimally attenuated over 29 km of fluvial transport. Some small attenuation of Al, Fe, Hg, and REEs occurs but primarily there is a transformation from the dissolved state to suspended particles, with most of these elements still being transported to the Madison River. Dissolved Hg and REEs loads decrease where the particulate Fe increases, suggesting sorption onto suspended particulate material. Attenuation from the water column is substantial for Mn, with little formation of Mn as suspended particulates.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jvolgeores.2010.05.004","usgsCitation":"McCleskey, R.B., Nordstrom, D.K., Susong, D.D., Ball, J.W., and Taylor, H.E., 2010, Source and fate of inorganic solutes in the Gibbon River, Yellowstone National Park, Wyoming, USA. II. Trace element chemistry: Journal of Volcanology and Geothermal Research, v. 196, no. 3-4, p. 139-155, https://doi.org/10.1016/j.jvolgeores.2010.05.004.","productDescription":"17 p.","startPage":"139","endPage":"155","temporalStart":"2006-09-01","temporalEnd":"2006-09-30","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":204272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Gibbon River;Yellowstone National Park","volume":"196","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b931ce4b08c986b31a2c6","contributors":{"authors":[{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":350022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":350024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, James W.","contributorId":38946,"corporation":false,"usgs":true,"family":"Ball","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":350023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":350021,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70007514,"text":"70007514 - 2010 - Aquifer Storage Recovery (ASR) of chlorinated municipal drinking water in a confined aquifer","interactions":[],"lastModifiedDate":"2025-05-14T15:03:49.77048","indexId":"70007514","displayToPublicDate":"2011-12-01T15:07:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Aquifer Storage Recovery (ASR) of chlorinated municipal drinking water in a confined aquifer","docAbstract":"<p><span>About 1.02</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>10</span><sup>6</sup><span>&nbsp;</span><span>m</span><sup>3</sup><span>&nbsp;of chlorinated municipal drinking water was injected into a confined aquifer, 94–137</span><span>&nbsp;</span><span>m below Roseville, California, between December 2005 and April 2006. The water was stored in the aquifer for 438</span><span>&nbsp;</span><span>days, and 2.64</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>10</span><sup>6</sup><span>&nbsp;</span><span>m</span><sup>3</sup><span>&nbsp;of water were extracted between July 2007 and February 2008. On the basis of Cl</span><sup>−</sup><span>&nbsp;data, 35% of the injected water was recovered and 65% of the injected water and associated disinfection by-products (DBPs) remained in the aquifer at the end of extraction. About 46.3</span><span>&nbsp;</span><span>kg of total trihalomethanes (TTHM) entered the aquifer with the injected water and 37.6</span><span>&nbsp;</span><span>kg of TTHM were extracted. As much as 44</span><span>&nbsp;</span><span>kg of TTHMs remained in the aquifer at the end of extraction because of incomplete recovery of injected water and formation of THMs within the aquifer by reactions with free-chlorine in the injected water. Well-bore velocity log data collected from the Aquifer Storage Recovery (ASR) well show as much as 60% of the injected water entered the aquifer through a 9</span><span>&nbsp;</span><span>m thick, high-permeability layer within the confined aquifer near the top of the screened interval. Model simulations of ground-water flow near the ASR well indicate that (1) aquifer heterogeneity allowed injected water to move rapidly through the aquifer to nearby monitoring wells, (2) aquifer heterogeneity caused injected water to move further than expected assuming uniform aquifer properties, and (3) physical clogging of high-permeability layers is the probable cause for the observed change in the distribution of borehole flow. Aquifer heterogeneity also enhanced mixing of native anoxic ground water with oxic injected water, promoting removal of THMs primarily through sorption. A 3 to 4-fold reduction in TTHM concentrations was observed in the furthest monitoring well 427</span><span>&nbsp;</span><span>m downgradient from the ASR well, and similar magnitude reductions were observed in depth-dependent water samples collected from the upper part of the screened interval in the ASR well near the end of the extraction phase. Haloacetic acids (HAAs) were completely sorbed or degraded within 10</span><span>&nbsp;</span><span>months of injection.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2010.04.017","usgsCitation":"Izbicki, J., Petersen, C.E., Glotzbach, K.J., Metzger, L.F., Christensen, A.H., Smith, G.A., O’Leary, D.R., Fram, M.S., Joseph, T., and Shannon, H., 2010, Aquifer Storage Recovery (ASR) of chlorinated municipal drinking water in a confined aquifer: Applied Geochemistry, v. 25, no. 8, p. 1133-1152, https://doi.org/10.1016/j.apgeochem.2010.04.017.","productDescription":"20 p.","startPage":"1133","endPage":"1152","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":382031,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Roseville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.55548095703125,\n              39.081040177486095\n            ],\n            [\n              -121.54449462890625,\n              38.67264490154078\n            ],\n            [\n              -121.43463134765625,\n              38.62116234642254\n            ],\n            [\n              -121.23138427734375,\n              38.76693348394693\n            ],\n            [\n              -121.3275146484375,\n              38.88889501576177\n            ],\n            [\n              -121.39068603515625,\n              38.99997583555929\n            ],\n            [\n              -121.55548095703125,\n              39.081040177486095\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed1be4b0c8380cd49624","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":356559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Christen E.","contributorId":17761,"corporation":false,"usgs":true,"family":"Petersen","given":"Christen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":356564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glotzbach, Kenneth J.","contributorId":35873,"corporation":false,"usgs":true,"family":"Glotzbach","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metzger, Loren F. 0000-0003-2454-2966 lmetzger@usgs.gov","orcid":"https://orcid.org/0000-0003-2454-2966","contributorId":1378,"corporation":false,"usgs":true,"family":"Metzger","given":"Loren","email":"lmetzger@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":356560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Allen H. 0000-0002-7061-5591 ahchrist@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-5591","contributorId":1510,"corporation":false,"usgs":true,"family":"Christensen","given":"Allen","email":"ahchrist@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Gregory A. 0000-0001-8170-9924 gasmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8170-9924","contributorId":1520,"corporation":false,"usgs":true,"family":"Smith","given":"Gregory","email":"gasmith@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":356562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Leary, David R. 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":2143,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":356563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356558,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Joseph, Trevor","contributorId":97629,"corporation":false,"usgs":true,"family":"Joseph","given":"Trevor","email":"","affiliations":[],"preferred":false,"id":356567,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shannon, Heather","contributorId":45052,"corporation":false,"usgs":true,"family":"Shannon","given":"Heather","email":"","affiliations":[],"preferred":false,"id":356566,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70004064,"text":"70004064 - 2010 - Simulated impacts of artificial groundwater recharge and discharge of the source area and source volume of an Atlantic Coastal Plain Stream, Delaware, USA","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"70004064","displayToPublicDate":"2011-12-01T14:34:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Simulated impacts of artificial groundwater recharge and discharge of the source area and source volume of an Atlantic Coastal Plain Stream, Delaware, USA","docAbstract":"A numerical groundwater-flow model was used to characterize the source area and volume of Phillips Branch, a baseflow-dominated stream incising a highly permeable unconfined aquifer on the low relief Delmarva Peninsula, USA. Particle-tracking analyses indicate that the source area (5.51 km<sup>2</sup>) is ~20% smaller than the topographically defined watershed (6.85 km<sup>2</sup>), and recharge entering ~37% of the surface watershed does not discharge to Phillips Branch. Groundwater residence time within the source volume ranges from a few days to almost 100 years, with 95% of the volume \"flushing\" within 50 years. Artificial discharge from groundwater pumping alters the shape of the source area and reduces baseflow due to the interception of stream flow paths, but has limited impacts on the residence time of groundwater discharged as baseflow. In contrast, artificial recharge from land-based wastewater disposal substantially reduces the source area, lowers the range in residence time due to the elimination of older flow paths to the stream, and leads to increased discharge to adjacent surface-water bodies. This research suggests that, in this and similar hydrogeologic settings, the \"watershed\" approach to water-resource management may be limited, particularly where anthropogenic stresses alter the transport of soluble contaminants through highly permeable unconfined aquifers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Kasper, J.W., Denver, J.M., McKenna, T.E., and Ullman, W.J., 2010, Simulated impacts of artificial groundwater recharge and discharge of the source area and source volume of an Atlantic Coastal Plain Stream, Delaware, USA: Hydrogeology Journal, v. 18, no. 8, p. 1855-1866.","productDescription":"12 p.","startPage":"1855","endPage":"1866","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":204167,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21778,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.springerlink.com/content/20256m4261v57154","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Delaware","otherGeospatial":"Atlantic Coastal Plain;Delmarva Peninsula","volume":"18","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8fb2e4b08c986b3190ac","contributors":{"authors":[{"text":"Kasper, Joshua W.","contributorId":83802,"corporation":false,"usgs":false,"family":"Kasper","given":"Joshua","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":350396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denver, Judish M.","contributorId":71840,"corporation":false,"usgs":true,"family":"Denver","given":"Judish","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":350394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKenna, Thomas E.","contributorId":80793,"corporation":false,"usgs":true,"family":"McKenna","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":350395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ullman, William J.","contributorId":103149,"corporation":false,"usgs":true,"family":"Ullman","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":350397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003405,"text":"70003405 - 2010 - Modeling spatial variation in avian survival and residency probabilities","interactions":[],"lastModifiedDate":"2012-02-02T00:15:57","indexId":"70003405","displayToPublicDate":"2011-12-01T13:50:03","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling spatial variation in avian survival and residency probabilities","docAbstract":"The importance of understanding spatial variation in processes driving animal population dynamics is widely recognized. Yet little attention has been paid to spatial modeling of vital rates. Here we describe a hierarchical spatial autoregressive model to provide spatially explicit year-specific estimates of apparent survival (phi) and residency (pi) probabilities from capture-recapture data. We apply the model to data collected on a declining bird species, Wood Thrush (Hylocichla mustelina), as part of a broad-scale bird-banding network, the Monitoring Avian Productivity and Survivorship (MAPS) program. The Wood Thrush analysis showed variability in both phi and pi among years and across space. Spatial heterogeneity in residency probability was particularly striking, suggesting the importance of understanding the role of transients in local populations. We found broad-scale spatial patterning in Wood Thrush phi and pi that lend insight into population trends and can direct conservation and research. The spatial model developed here represents a significant advance over approaches to investigating spatial pattern in vital rates that aggregate data at coarse spatial scales and do not explicitly incorporate spatial information in the model. Further development and application of hierarchical capture-recapture models offers the opportunity to more fully investigate spatiotemporal variation in the processes that drive population changes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/09-0705.1","usgsCitation":"Saracco, J., Royle, J., DeSante, D.F., and Gardner, B., 2010, Modeling spatial variation in avian survival and residency probabilities: Ecology, v. 91, no. 7, p. 1885-1891, https://doi.org/10.1890/09-0705.1.","productDescription":"7 p.","startPage":"1885","endPage":"1891","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475557,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/09-0705.1","text":"Publisher Index Page"},{"id":21680,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-0705.1","linkFileType":{"id":5,"text":"html"}},{"id":204176,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c2fe4b0c8380cd6fac5","contributors":{"authors":[{"text":"Saracco, James F.","contributorId":23680,"corporation":false,"usgs":true,"family":"Saracco","given":"James F.","affiliations":[],"preferred":false,"id":347164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeSante, David F.","contributorId":49065,"corporation":false,"usgs":true,"family":"DeSante","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":347165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":347167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003943,"text":"70003943 - 2010 - Modeling amphibian energetics, habitat suitability, and movements of western toads, Anaxyrus (=Bufo) boreas, across present and future landscapes","interactions":[],"lastModifiedDate":"2021-01-13T16:28:22.263503","indexId":"70003943","displayToPublicDate":"2011-12-01T12:34:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modeling amphibian energetics, habitat suitability, and movements of western toads, <i>Anaxyrus</i> (=<i>Bufo</i>) <i>boreas</i>, across present and future landscapes","title":"Modeling amphibian energetics, habitat suitability, and movements of western toads, Anaxyrus (=Bufo) boreas, across present and future landscapes","docAbstract":"<p><span>Effective conservation of amphibian populations requires the prediction of how amphibians use and move through a landscape. Amphibians are closely coupled to their physical environment. Thus an approach that uses the physiological attributes of amphibians, together with knowledge of their natural history, should be helpful. We used Niche Mapper™ to model the known movements and habitat use patterns of a population of Western toads (</span><i>Anaxyrus</i><span>&nbsp;(=</span><i>Bufo</i><span>)&nbsp;</span><i>boreas</i><span>) occupying forested habitats in southeastern Idaho. Niche Mapper uses first principles of environmental biophysics to combine features of topography, climate, land cover, and animal features to model microclimates and animal physiology and behavior across landscapes. Niche Mapper reproduced core body temperatures (</span><i>T</i><sub><i>c</i></sub><span>) and evaporation rates of live toads with average errors of 1.6</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.4</span><span>&nbsp;</span><span>°C and 0.8</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.2</span><span>&nbsp;</span><span>g/h, respectively. For four different habitat types, it reproduced similar mid-summer daily temperature patterns as those measured in the field and calculated evaporation rates (g/h) with an average error rate of 7.2</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>5.5%. Sensitivity analyses indicate these errors do not significantly affect estimates of food consumption or activity. Using Niche Mapper we predicted the daily habitats used by free-ranging toads; our accuracy for female toads was greater than for male toads (74.2</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>6.8% and 53.6</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>15.8%, respectively), reflecting the stronger patterns of habitat selection among females. Using these changing to construct a cost surface, we also reconstructed movement paths that were consistent with field observations. The effect of climate warming on toads depends on the interaction of temperature and atmospheric moisture. If climate change occurs as predicted, results from Niche Mapper suggests that climate warming will increase the physiological cost of landscapes thereby limiting the activity for toads in different habitats.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2010.07.009","usgsCitation":"Bartelt, P.E., Klaver, R.W., and Porter, W.P., 2010, Modeling amphibian energetics, habitat suitability, and movements of western toads, Anaxyrus (=Bufo) boreas, across present and future landscapes: Ecological Modelling, v. 221, no. 22, p. 2675-2686, https://doi.org/10.1016/j.ecolmodel.2010.07.009.","productDescription":"12 p.","startPage":"2675","endPage":"2686","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":204505,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"221","issue":"22","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5bd2e4b0c8380cd6f818","contributors":{"authors":[{"text":"Bartelt, Paul E.","contributorId":18895,"corporation":false,"usgs":true,"family":"Bartelt","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":349643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":349642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Warren P.","contributorId":87281,"corporation":false,"usgs":true,"family":"Porter","given":"Warren","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":349644,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003570,"text":"70003570 - 2010 - Spatially explicit inference for open populations: Estimating demographic parameters from camera-trap studies","interactions":[],"lastModifiedDate":"2021-01-18T12:38:42.145805","indexId":"70003570","displayToPublicDate":"2011-12-01T11:36:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit inference for open populations: Estimating demographic parameters from camera-trap studies","docAbstract":"<p><span>We develop a hierarchical capture–recapture model for demographically open populations when auxiliary spatial information about location of capture is obtained. Such spatial capture–recapture data arise from studies based on camera trapping, DNA sampling, and other situations in which a spatial array of devices records encounters of unique individuals. We integrate an individual‐based formulation of a Jolly‐Seber type model with recently developed spatially explicit capture–recapture models to estimate density and demographic parameters for survival and recruitment. We adopt a Bayesian framework for inference under this model using the method of data augmentation which is implemented in the software program WinBUGS. The model was motivated by a camera trapping study of Pampas cats Leopardus colocolo from Argentina, which we present as an illustration of the model in this paper. We provide estimates of density and the first quantitative assessment of vital rates for the Pampas cat in the High Andes. The precision of these estimates is poor due likely to the sparse data set. Unlike conventional inference methods which usually rely on asymptotic arguments, Bayesian inferences are valid in arbitrary sample sizes, and thus the method is ideal for the study of rare or endangered species for which small data sets are typical.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-0804.1","usgsCitation":"Gardner, B., Reppucci, J., Lucherini, M., and Royle, J., 2010, Spatially explicit inference for open populations: Estimating demographic parameters from camera-trap studies: Ecology, v. 91, no. 11, p. 3376-3383, https://doi.org/10.1890/09-0804.1.","productDescription":"8 p.","startPage":"3376","endPage":"3383","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475558,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/09-0804.1","text":"External Repository"},{"id":382188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b94c5e4b08c986b31ac39","contributors":{"authors":[{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":347805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reppucci, Juan","contributorId":24487,"corporation":false,"usgs":true,"family":"Reppucci","given":"Juan","email":"","affiliations":[],"preferred":false,"id":347802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucherini, Mauro","contributorId":24488,"corporation":false,"usgs":true,"family":"Lucherini","given":"Mauro","email":"","affiliations":[],"preferred":false,"id":347803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347804,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003763,"text":"70003763 - 2010 - Spatial variability in growth-increment chronologies of long-lived freshwater mussels: Implications for climate impacts and reconstructions","interactions":[],"lastModifiedDate":"2021-01-15T13:07:56.626704","indexId":"70003763","displayToPublicDate":"2011-12-01T11:22:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1474,"text":"Écoscience","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variability in growth-increment chronologies of long-lived freshwater mussels: Implications for climate impacts and reconstructions","docAbstract":"<p><span>Estimates of historical variability in river ecosystems are often lacking, but long-lived freshwater mussels could provide unique opportunities to understand past conditions in these environments. We applied dendrochronology techniques to quantify historical variability in growth-increment widths in valves (shells) of western pearlshell freshwater mussels (</span><i>Margaritifera falcata</i><span>). A total of 3 growth-increment chronologies, spanning 19 to 26 y in length, were developed. Growth was highly synchronous among individuals within each site, and to a lesser extent, chronologies were synchronous among sites. All 3 chronologies negatively related to instrumental records of stream discharge, while correlations with measures of water temperature were consistently positive but weaker. A reconstruction of stream discharge was performed using linear regressions based on a mussel growth chronology and the regional Palmer Drought Severity Index (PDSI). Models based on mussel growth and PDSI yielded similar coefficients of prediction (R</span><sup>2</sup><sub>Pred</sub><span>) of 0.73 and 0.77, respectively, for predicting out-of-sample observations. From an ecological perspective, we found that mussel chronologies provided a rich source of information for understanding climate impacts. Responses of mussels to changes in climate and stream ecosystems can be very site- and process-specific, underscoring the complex nature of biotic responses to climate change and the need to understand both regional and local processes in projecting climate impacts on freshwater species.</span></p>","language":"English","publisher":"University Laval","doi":"10.2980/17-3-3353","usgsCitation":"Black, B.A., Dunham, J., Blundon, B.W., Raggon, M.F., and Zima, D., 2010, Spatial variability in growth-increment chronologies of long-lived freshwater mussels: Implications for climate impacts and reconstructions: Écoscience, v. 17, no. 3, p. 240-250, https://doi.org/10.2980/17-3-3353.","productDescription":"11 p.","startPage":"240","endPage":"250","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":382191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2015-12-03","publicationStatus":"PW","scienceBaseUri":"505b94b0e4b08c986b31abf1","contributors":{"authors":[{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":348759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":348758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blundon, Brett W.","contributorId":26805,"corporation":false,"usgs":false,"family":"Blundon","given":"Brett","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":348756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raggon, Mark F.","contributorId":74499,"corporation":false,"usgs":true,"family":"Raggon","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":348760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zima, Daniela","contributorId":27994,"corporation":false,"usgs":true,"family":"Zima","given":"Daniela","email":"","affiliations":[],"preferred":false,"id":348757,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003454,"text":"70003454 - 2010 - Spatial patterns of bee captures in North American bowl trapping surveys","interactions":[],"lastModifiedDate":"2012-02-02T00:16:00","indexId":"70003454","displayToPublicDate":"2011-12-01T10:28:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2003,"text":"Insect Conservation and Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of bee captures in North American bowl trapping surveys","docAbstract":"1. Bowl and pan traps are now commonly used to capture bees (Hymenoptera: Apiformes) for research and surveys.  2. Studies of how arrangement and spacing of bowl traps affect captures of bees are needed to increase the efficiency of this capture technique.  3. We present results from seven studies of bowl traps placed in trapping webs, grids, and transects in four North American ecoregions (Mid-Atlantic, Coastal California, Chihuahuan Desert, and Columbia Plateau).  4. Over 6000 specimens from 31 bee genera were captured and analysed across the studies.  5. Based on the results from trapping webs and distance tests, the per bowl capture rate of bees does not plateau until bowls are spaced 3&ndash;5 m apart.  6. Minor clumping of bee captures within transects was detected, with 26 of 56 transects having index of dispersion values that conform to a clumped distribution and 39 transects having positive Green's index values, 13 with zero, and only four negative. However, degree of clumping was slight with an average value of only 0.06 (the index ranges from -1 to 1) with only five values >0.15. Similarly, runs tests were significant for only 5.9% of the transects.  7. Results indicate that (i) capture rates are unaffected by short distances between bowls within transects and (ii) that bowls and transects should be dispersed throughout a study site.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Insect Conservation and Diversity","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Royal Entomological Society","publisherLocation":"St Albans, England","doi":"10.1111/j.1752-4598.2009.00074.x","usgsCitation":"Droege, S., Tepedino, V.J., Lebuhn, G., Link, W., Minckley, R.L., Chen, Q., and Conrad, C., 2010, Spatial patterns of bee captures in North American bowl trapping surveys: Insect Conservation and Diversity, v. 3, no. 1, p. 15-23, https://doi.org/10.1111/j.1752-4598.2009.00074.x.","productDescription":"9 p.","startPage":"15","endPage":"23","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204213,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21708,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.1752-4598.2009.00074.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-03","publicationStatus":"PW","scienceBaseUri":"505b949be4b08c986b31aba1","contributors":{"authors":[{"text":"Droege, Sam sdroege@usgs.gov","contributorId":3464,"corporation":false,"usgs":true,"family":"Droege","given":"Sam","email":"sdroege@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tepedino, Vincent J.","contributorId":108231,"corporation":false,"usgs":true,"family":"Tepedino","given":"Vincent","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lebuhn, Gretchen","contributorId":67376,"corporation":false,"usgs":true,"family":"Lebuhn","given":"Gretchen","affiliations":[],"preferred":false,"id":347334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, William","contributorId":15483,"corporation":false,"usgs":true,"family":"Link","given":"William","affiliations":[],"preferred":false,"id":347332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minckley, Robert L.","contributorId":86652,"corporation":false,"usgs":true,"family":"Minckley","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":347335,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Qian","contributorId":95344,"corporation":false,"usgs":true,"family":"Chen","given":"Qian","email":"","affiliations":[],"preferred":false,"id":347336,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conrad, Casey","contributorId":34788,"corporation":false,"usgs":true,"family":"Conrad","given":"Casey","email":"","affiliations":[],"preferred":false,"id":347333,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003340,"text":"70003340 - 2010 - Short-term effects of experimental fires on a Mojave Desert seed bank","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"70003340","displayToPublicDate":"2011-12-01T10:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Short-term effects of experimental fires on a Mojave Desert seed bank","docAbstract":"A Mojave Desert shrub community was experimentally burned to understand changes in seed bank of desert annual plant species in response to wildfire. Seed mortality ranged from 55 to 80%, and fire caused significant losses of native and alien annual seeds. <i>Schismus arabicus</i>, <i>Schismus barbatus</i>, <i>Bromus madritensis</i>, <i>Bromus tectorum</i>, <i>Erodium cicutarium</i> and <i>Plantago</i> spp. made up >95% of the seed bank. <i>Bromus</i> spp. and <i>Plantago</i> spp. had proportionately greater mortality of seeds than did <i>Schismus</i> spp. and <i>E. cicutarium</i>. <i>Schismus</i> spp. can be lodged into soil cracks thus avoiding lethal temperatures. <i>E. cicutarium</i> has a self-drilling mechanism that places the seeds at greater depth in the soil. Greater seed mortality occurred beneath shrub canopies than interspaces for most species (<i>Plantago</i>, spp., <i>Bromus</i> spp., and <i>E. cicutarium</i>), but microsite had little effect on <i>Schismus</i> spp. Fire reduced the perennial <i>Ambrosia dumosa</i> densities under canopies. Fire reduced the mean number of species found in samples by about one species per plot and no species was extirpated on experimental plots. The relative abundances of common species did not change dramatically as a result of fire or microsite, however; seed densities varied by treatment and affected interpretations of species compositions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Arid Environments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Esque, T., Young, J., and Tracy, C.R., 2010, Short-term effects of experimental fires on a Mojave Desert seed bank: Journal of Arid Environments, v. 74, no. 10, p. 1302-1308.","productDescription":"7 p.","startPage":"1302","endPage":"1308","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":111010,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://ddr.nal.usda.gov/dspace/bitstream/10113/46171/1/IND44408197.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","otherGeospatial":"Mojave Desert","volume":"74","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8eb9e4b08c986b318add","contributors":{"authors":[{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":3221,"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":346954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, James A.","contributorId":13735,"corporation":false,"usgs":true,"family":"Young","given":"James A.","affiliations":[],"preferred":false,"id":346955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tracy, C. Richard","contributorId":31515,"corporation":false,"usgs":true,"family":"Tracy","given":"C.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":346956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004682,"text":"70004682 - 2010 - Spatial dynamics of bar-headed geese migration in the context of H5N1","interactions":[],"lastModifiedDate":"2017-08-26T16:46:55","indexId":"70004682","displayToPublicDate":"2011-12-01T09:20:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2567,"text":"Journal of the Royal Society Interface","active":true,"publicationSubtype":{"id":10}},"title":"Spatial dynamics of bar-headed geese migration in the context of H5N1","docAbstract":"Virulent outbreaks of highly pathogenic avian influenza (HPAI) since 2005 have raised the question about the roles of migratory and wild birds in the transmission of HPAI. Despite increased monitoring, the role of wild waterfowl as the primary source of the highly pathogenic H5N1 has not been clearly established. The impact of outbreaks of HPAI among species of wild birds which are already endangered can nevertheless have devastating consequences for the local and non-local ecology where migratory species are established. Understanding the entangled dynamics of migration and the disease dynamics will be key to prevention and control measures for humans, migratory birds and poultry. Here, we present a spatial dynamic model of seasonal migration derived from first principles and linking the local dynamics during migratory stopovers to the larger scale migratory routes. We discuss the effect of repeated epizootic at specific migratory stopovers for bar-headed geese (<i>Anser indicus</i>). We find that repeated deadly outbreaks of H5N1 on stopovers during the autumn migration of bar-headed geese could lead to a larger reduction in the size of the equilibrium bird population compared with that obtained after repeated outbreaks during the spring migration. However, the opposite is true during the first few years of transition to such an equilibrium. The age-maturation process of juvenile birds which are more susceptible to H5N1 reinforces this result.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the Royal Society Interface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society Publishing","publisherLocation":"London, England","usgsCitation":"Bourouiba, L., Wu, J., Newman, S., Takekawa, J.Y., Natdorj, T., Batbayar, N., Bishop, C., Hawkes, L., Butler, P., and Wikelski, M., 2010, Spatial dynamics of bar-headed geese migration in the context of H5N1: Journal of the Royal Society Interface, v. 7, no. 52, p. 1627-1639.","productDescription":"13 p.","startPage":"1627","endPage":"1639","numberOfPages":"13","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21912,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://rsif.royalsocietypublishing.org/content/7/52/1627.short","linkFileType":{"id":5,"text":"html"}}],"volume":"7","issue":"52","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9474e4b08c986b31aac7","contributors":{"authors":[{"text":"Bourouiba, L.","contributorId":98870,"corporation":false,"usgs":true,"family":"Bourouiba","given":"L.","affiliations":[],"preferred":false,"id":351127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Jianhong","contributorId":92413,"corporation":false,"usgs":false,"family":"Wu","given":"Jianhong","email":"","affiliations":[],"preferred":false,"id":351125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, S.","contributorId":7678,"corporation":false,"usgs":true,"family":"Newman","given":"S.","affiliations":[],"preferred":false,"id":351118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":351124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Natdorj, T.","contributorId":58763,"corporation":false,"usgs":true,"family":"Natdorj","given":"T.","email":"","affiliations":[],"preferred":false,"id":351122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Batbayar, N.","contributorId":47074,"corporation":false,"usgs":true,"family":"Batbayar","given":"N.","email":"","affiliations":[],"preferred":false,"id":351120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bishop, C.M.","contributorId":31103,"corporation":false,"usgs":true,"family":"Bishop","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":351119,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hawkes, L.A.","contributorId":59551,"corporation":false,"usgs":true,"family":"Hawkes","given":"L.A.","affiliations":[],"preferred":false,"id":351123,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Butler, P.J.","contributorId":55142,"corporation":false,"usgs":true,"family":"Butler","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":351121,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wikelski, M.","contributorId":95188,"corporation":false,"usgs":true,"family":"Wikelski","given":"M.","affiliations":[],"preferred":false,"id":351126,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70006201,"text":"mineral2010 - 2010 - Mineral Commodity Summaries 2010","interactions":[],"lastModifiedDate":"2013-02-04T10:57:27","indexId":"mineral2010","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":323,"text":"Mineral Commodity Summaries","code":"MCS","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010","title":"Mineral Commodity Summaries 2010","docAbstract":"Each chapter of the 2010 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production and resources. The MCS is the earliest comprehensive source of 2009 mineral production data for the world. More than 90 individual minerals and materials are covered by two-page synopses.  For mineral commodities for which there is a Government stockpile, detailed information concerning the stockpile status is included in the two-page synopsis.  National reserves information for most mineral commodities found in this report, including those for the United States, are derived from a variety of sources. The ideal source of such information would be comprehensive evaluations that apply the same criteria to deposits in different geographic areas and report the results by country. In the absence of such evaluations, national reserves estimates compiled by countries for selected mineral commodities are a primary source of national reserves information. Lacking national assessment information by governments, sources such as academic articles, company reports, presentations by company representatives, and trade journal articles, or a combination of these, serve as the basis for national reserves information reported in the mineral commodity sections of this publication. A national estimate may be assembled from the following: historically reported reserves information carried for years without alteration because no new information is available; historically reported reserves reduced by the amount of historical production; and company reported reserves. International minerals availability studies conducted by the U.S. Bureau of Mines (USBM), before 1996, and estimates of identified resources by an international collaborative effort (the International Strategic Minerals Inventory) are the basis for some reserves estimates. The USGS collects information about the quantity and quality of mineral resources but does not directly measure reserves, and companies or governments do not directly report reserves to the USGS. Reassessment of reserves is a continuing process, and the intensity of this process differs for mineral commodities, countries, and time period. Throughout the history of Mineral Commodity Summaries and its predecessor prior to 1978, Commodity Data Summaries, the presentation of resource data has evolved. Although world resources have been discussed each year, presentation of reserves and reserve base data varied. From 1957 through 1979, only reserves information was published in the reports, but from 1980 through 1987, only estimates of reserve base, a concept introduced by the U.S. Bureau of Mines (USBM) and the USGS in 1980, were published. Beginning in 1988, both reserves and reserve base information were listed for each mineral commodity where applicable and available. Prior to 1996, the minerals availability studies conducted by the USBM and work with international collaborators were the basis for reserve base data reported in Mineral Commodity Summaries. When the USBM was closed in 1996, this function was discontinued. Since that time, reserve base estimates have been updated to be consistent with changes in reserves, but the nonreserves component of the information upon which the reserve base data were estimated is not current enough to support defensible reserve base estimates. For that reason, publication of reserve base estimates was discontinued for Mineral Commodity Summaries 2010. Abbreviations and units of measure, and definitions of selected terms used in the report, are in Appendix A and Appendix B, respectively. A resource/reserve classification for minerals, based on USGS Circular 831 (published with the U.S. Bureau of Mines) is Appendix C, and a directory of USGS minerals information country specialists and their responsibilities is Appendix D. The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2010 are welcomed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mineral2010","isbn":"9781411326668","usgsCitation":"Mineral Commodity Summaries 2010; 2010; MINERAL; 2010; U.S. Geological Survey","productDescription":"193 p; 4 Appendixes (6 p.); Individual Commodity Data Sheets; Available Online, Printed, and on CD-ROM","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":112028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/","linkFileType":{"id":5,"text":"html"}},{"id":204360,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/mineral_2010.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a574de4b0c8380cd6dbb8","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535135,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003372,"text":"70003372 - 2010 - Saltwater intrusion in coastal regions of North America","interactions":[],"lastModifiedDate":"2019-03-20T07:52:09","indexId":"70003372","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Saltwater intrusion in coastal regions of North America","docAbstract":"Saltwater has intruded into many of the coastal aquifers of the United States, Mexico, and Canada, but the extent of saltwater intrusion varies widely among localities and hydrogeologic settings. In many instances, the area contaminated by saltwater is limited to small parts of an aquifer and to specific wells and has had little or no effect on overall groundwater supplies; in other instances, saltwater contamination is of regional extent and has resulted in the closure of many groundwater supply wells. The variability of hydrogeologic settings, three-dimensional distribution of saline water, and history of groundwater withdrawals and freshwater drainage has resulted in a variety of modes of saltwater intrusion into coastal aquifers. These include lateral intrusion from the ocean; upward intrusion from deeper, more saline zones of a groundwater system; and downward intrusion from coastal waters. Saltwater contamination also has occurred along open boreholes and within abandoned, improperly constructed, or corroded wells that provide pathways for vertical migration across interconnected aquifers. Communities within the coastal regions of North America are taking actions to manage and prevent saltwater intrusion to ensure a sustainable source of groundwater for the future. These actions can be grouped broadly into scientific monitoring and assessment, engineering techniques, and regulatory approaches.","language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0514-3","usgsCitation":"Barlow, P.M., and Reichard, E.G., 2010, Saltwater intrusion in coastal regions of North America: Hydrogeology Journal, v. 18, no. 1, p. 247-260, https://doi.org/10.1007/s10040-009-0514-3.","productDescription":"14 p.","startPage":"247","endPage":"260","numberOfPages":"25","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":204400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-09-17","publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdebf","contributors":{"authors":[{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":347043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reichard, Eric G. 0000-0002-7310-3866 egreich@usgs.gov","orcid":"https://orcid.org/0000-0002-7310-3866","contributorId":1207,"corporation":false,"usgs":true,"family":"Reichard","given":"Eric","email":"egreich@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":347044,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006107,"text":"ofr20091275 - 2010 - Groundwater conditions and studies in the Brunswick&ndash;Glynn County area, Georgia, 2008","interactions":[],"lastModifiedDate":"2016-12-08T13:26:41","indexId":"ofr20091275","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2010","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":"2009-1275","title":"Groundwater conditions and studies in the Brunswick&ndash;Glynn County area, Georgia, 2008","docAbstract":"The Upper Floridan aquifer is contaminated with saltwater in a 2-square-mile area of downtown Brunswick, Georgia. This contamination has limited development of the groundwater supply in the Glynn County area. Hydrologic, geologic, and water-quality data are needed to effectively manage water resources. Since 1959, the U.S. Geological Survey has conducted a cooperative water program with the City of Brunswick to monitor and assess the effect of groundwater development on saltwater contamination of the Floridan aquifer system. During calendar year 2008, the cooperative water program included continuous water-level recording of 12 wells completed in the Floridan, Brunswick, and surficial aquifer systems; collecting water levels from 21 wells to map the potentiometric surface of the Upper Floridan aquifer during July 2008; and collecting and analyzing water samples from 26 wells to map chloride concentrations in the Upper Floridan aquifer during July 2008. Equipment was installed on 3 wells for real-time water level and specific conductance monitoring. In addition, work was continued to refine an existing groundwater-flow model for evaluation of water-management scenarios.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091275","collaboration":"Prepared in cooperation with the City of Brunswick and Glynn County","usgsCitation":"Cherry, G.S., Peck, M., Painter, J.A., and Stayton, W.L., 2010, Groundwater conditions and studies in the Brunswick&ndash;Glynn County area, Georgia, 2008: U.S. Geological Survey Open-File Report 2009-1275, vi, 54 p., https://doi.org/10.3133/ofr20091275.","productDescription":"vi, 54 p.","startPage":"i","endPage":"54","numberOfPages":"60","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116663,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1275.jpg"},{"id":110960,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1275/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","county":"Glynn County","city":"Brunswick","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.87973022460938,\n              30.85625820510563\n            ],\n            [\n              -81.87973022460938,\n              31.399363152588798\n            ],\n            [\n              -81.15188598632812,\n              31.399363152588798\n            ],\n            [\n              -81.15188598632812,\n              30.85625820510563\n            ],\n            [\n              -81.87973022460938,\n              30.85625820510563\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a70e4b07f02db64140b","contributors":{"authors":[{"text":"Cherry, Gregory S. 0000-0002-5567-1587 gccherry@usgs.gov","orcid":"https://orcid.org/0000-0002-5567-1587","contributorId":1567,"corporation":false,"usgs":true,"family":"Cherry","given":"Gregory","email":"gccherry@usgs.gov","middleInitial":"S.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":353855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stayton, Welby L.","contributorId":19573,"corporation":false,"usgs":true,"family":"Stayton","given":"Welby","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":353857,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006098,"text":"ofr20101330 - 2010 - Geomorphology and depositional subenvironments of Gulf Islands National Seashore, Perdido Key and Santa Rosa Island, Florida","interactions":[],"lastModifiedDate":"2023-12-06T14:56:47.427165","indexId":"ofr20101330","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2010","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":"2010-1330","title":"Geomorphology and depositional subenvironments of Gulf Islands National Seashore, Perdido Key and Santa Rosa Island, Florida","docAbstract":"The U.S. Geological Survey (USGS) is studying coastal hazards and coastal change to improve our understanding of coastal ecosystems and to develop better capabilities of predicting future coastal change. One approach to understanding the dynamics of coastal systems is to monitor changes in barrier-island subenvironments through time. This involves examining morphologic and topographic change at temporal scales ranging from millennia to years and spatial scales ranging from tens of kilometers to meters. Of particular interest are the processes that produce those changes and the determination of whether or not those processes are likely to persist into the future. In these analyses of hazards and change, both natural and anthropogenic influences are considered. Quantifying past magnitudes and rates of coastal change and knowing the principal factors that govern those changes are critical to predicting what changes are likely to occur under different scenarios, such as short-term impacts of extreme storms or long-term impacts of sea-level rise. Gulf Islands National Seashore was selected for detailed mapping of barrier-island morphology and topography because the islands offer a diversity of depositional subenvironments and because island areas and positions have changed substantially in historical time. The geomorphologic and subenvironmental maps emphasize the processes that formed the surficial features and also serve as a basis for documenting which subenvironments are relatively stable, such as the vegetated barrier core, and those which are highly dynamic, such as the beach and inactive overwash zones.\nThe primary mapping procedures were supervised functions within a Geographic Information System (GIS) that were applied to delineate and classify depositional subenvironments and features, collectively referred to as map units. The delineated boundaries of the map units were exported to create one shapefile, and are differentiated by the field \"Type\" in the associated attribute table. Map units were delineated and classified based on differences in tonal patterns of features in contrast to adjacent features observed on orthophotography. Land elevations from recent lidar surveys served as supplementary data to assist in delineating the map unit boundaries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101330","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Morton, R., and Montgomery, M.C., 2010, Geomorphology and depositional subenvironments of Gulf Islands National Seashore, Perdido Key and Santa Rosa Island, Florida: U.S. Geological Survey Open-File Report 2010-1330, HTML Document: 3 Plates: 34.00 x 44.01 inches; Dataset, https://doi.org/10.3133/ofr20101330.","productDescription":"HTML Document: 3 Plates: 34.00 x 44.01 inches; Dataset","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423270,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94714.htm","linkFileType":{"id":5,"text":"html"}},{"id":110951,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1330/","linkFileType":{"id":5,"text":"html"}},{"id":204525,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Islands National Seashore, Perdido Key, Santa Rosa Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.42756910118067,\n              30.329523529268045\n            ],\n            [\n              -87.48836081585162,\n              30.286087521833977\n            ],\n            [\n              -86.5028678919051,\n              30.374099281627934\n            ],\n            [\n              -86.52689931130675,\n              30.429898811234565\n            ],\n            [\n              -87.42756910118067,\n              30.329523529268045\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c502","contributors":{"authors":[{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":353835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montgomery, Marilyn C.","contributorId":76876,"corporation":false,"usgs":true,"family":"Montgomery","given":"Marilyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":353834,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006096,"text":"ofr20101305 - 2010 - Low-flow frequency and flow duration of selected South Carolina streams in the Broad River basin through March 2008","interactions":[],"lastModifiedDate":"2016-12-08T14:23:45","indexId":"ofr20101305","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2010","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":"2010-1305","title":"Low-flow frequency and flow duration of selected South Carolina streams in the Broad River basin through March 2008","docAbstract":"In 2008, the U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, initiated a study to update low-flow statistics at continuous-record streamgaging stations operated by the U.S. Geological Survey in South Carolina. This report presents the low-flow statistics for 23 selected streamgaging stations in the Broad River basin in South Carolina, and includes flow durations of 5-, 10-, 25-, 50-, 75-, 90-, and 95-percent probability of exceedance and the annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day mean flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years, depending on the length of record available at the streamgaging station. The low-flow statistics were computed from records available through March 31, 2008. In addition, flow duration information is presented for one streamgaging station 021556525, Pacolet River below Lake Blalock near Cowpens, SC, where recurrence interval computations were not appropriate.\nOf the 23 streamgaging stations for which recurrence interval computations were made, 14 had low-flow statistics that were published in previous U.S. Geological Survey reports. A comparison of the low-flow statistics for the minimum mean flow for a 7-consecutive-day period with a 10-year recurrence interval (7Q10) from this study with the most recently published values indicated that 8 of the 14 streamgaging stations had values that were within plus or minus 25 percent of the previous value. Ten of the 14 streamgaging stations had negative percent differences indicating the low-flow statistic had decreased since the previous study, and 4 streamgaging stations had positive percent differences indicating that the low-flow statistic had increased since the previous study. The low-flow statistics are influenced by length of record, hydrologic regime under which the record was collected, techniques used to do the analysis, and other changes, such as urbanization, diversions, and so on, that may have occurred in the basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101305","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Guimaraes, W.B., and Feaster, T., 2010, Low-flow frequency and flow duration of selected South Carolina streams in the Broad River basin through March 2008: U.S. Geological Survey Open-File Report 2010-1305, vi, 47p., https://doi.org/10.3133/ofr20101305.","productDescription":"vi, 47p.","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116674,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1305.jpg"},{"id":110950,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1305/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.5,34 ], [ -82.5,36 ], [ -80.5,36 ], [ -80.5,34 ], [ -82.5,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648737","contributors":{"authors":[{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353832,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006093,"text":"sir20105209 - 2010 - Occurrence of organic wastewater-indicator compounds in urban streams of the Atlanta area, Georgia, 2003-2006","interactions":[],"lastModifiedDate":"2017-01-17T10:41:43","indexId":"sir20105209","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2010","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":"2010-5209","title":"Occurrence of organic wastewater-indicator compounds in urban streams of the Atlanta area, Georgia, 2003-2006","docAbstract":"Between March 2003 and January 2006, 863 water samples were collected from streams in seven urban watersheds with varying land uses within or near the City of Atlanta, Georgia. Sixty-four sampling sites representing three site types were established in those watersheds. The first type consisted of sites within three watersheds not affected by combined sewer overflows; these were designated as the control basins. The second and third site types were established in four watersheds and were designated as sites upstream or downstream from combined sewer outfalls.\nStream samples collected during the study were analyzed for major ions, nutrients, trace metals, and 60 organic compounds commonly found in wastewater (organic wastewater-indicator compounds, OWICs). Inorganic constituents were analyzed to discern possible relations between OWICs and urban runoff, sewage effluent, or combined sewer overflows (CSOs). The OWICs were grouped into nine compound classes based either on an already accepted class of compounds (such as pesticide) or the manner in which the compounds are used (such as automotive uses). The compounds benzo(a)pyrene, 4-cumylphenol, 3-tert-butyl-4-hydroxyanisole (BHA), isophorone, isoquinoline, metolachlor, metalaxyl, and 4-octylphenol were not detected in any sample collected during the study.\nAs many as 33 OWICs were detected above study reporting levels in water samples collected from streams in the Intrenchment Creek, Peachtree Creek, Proctor Creek, and South River watersheds (basins with CSOs), a number markedly higher than the number detected in water samples from the control basins (watersheds without CSOs). Several compounds known to disrupt the endocrine systems of aquatic biota were among the compounds detected.\nThe median numbers of OWICs detected in base-flow samples from the control basins ranged from 3 to 4 and 7 to 9 in stormflow samples, while the median in base-flow samples from the four CSO-affected watersheds ranged from 4 to 16 and 11 to 19 in stormflow samples. The detection frequencies and concentrations of OWICs in water samples varied depending on flow conditions during sample collection; however, regardless of flow condition, the total OWICs concentrations were strongly related to the numbers of OWICs detected in these samples. In addition, the median number of detectable OWICs and total OWIC concentrations increased linearly with increasing impervious area and stream flashiness (flashiness indicates the rapidity with which streamflow responds to high rainfall amounts).\nFour compounds-tris(2-butoxyethyl) phosphate (TBEP), tris(2-chloroethyl) phosphate (TCEP), bromacil, and cholesterol-were detected at concentrations greater than study reporting levels in at least 45 percent of all samples collected during the study. On a broad scale, the seasonal distributions of OWICs detected in samples collected during the study period were consistent with use patterns or urban activity, but were markedly different and more variable within individual watersheds.\nSeven of the nine OWIC classes were detected with greater frequency in base-flow samples from sites downstream from CSOs than from those upstream from CSOs or from control-basin sites; these OWICs also were detected in a greater percentage of base-flow samples from upstream than control-basin sites. Polycyclic aromatic hydrocarbon (PAH) and automotive-use compounds were detected with similar frequency in base-flow samples from all sites. The pesticides and industrial-use compounds were detected with similar frequency in base-flow samples from sites upstream and downstream from CSOs. The compounds 7-acetyl-1,1,3,4,4,6-hexamethyl tetrahydronaphthalene (AHTN), 1,3,4,6,7,8-hexahydro-4,6,6,7,8,8-hexamethyl cyclopenta-g-2-benzopyran (HHCB), and triclosan were detected with greater frequency in base-flow than in stormflow samples from all sites. The detection frequencies of these three compounds were particularly high in base-flow samples from downstream sites, especially those from the Intrenchment Creek watershed.\nIn stormflow samples, only the industrial-use compounds were detected with similar frequency among samples from control basins, and upstream and downstream sites. Caffeine, camphor, and menthol were detected in a greater percentage of stormflow than base-flow samples from all sites. The disinfectant byproduct bromoform was detected with the highest frequency in base-flow samples from the upstream sites, particularly those from the South River watershed.\nTypically, compounds in the pesticide class were detected with similar frequency in base-flow and stormflow samples from upstream and downstream sites, although bromacil and carbaryl were the exceptions. Bromacil was detected with greatest frequency in base-flow samples from all sites, but was detected in a larger percentage of base-flow samples from upstream and downstream sites, especially upstream and downstream sites in the Proctor Creek and South River watersheds. Carbaryl, however, was detected in a greater percentage of stormflow samples from all sites. Although collectively the industrial-use compounds were detected in more stormflow than base-flow samples, tetrachloroethene (PCE) was detected in more base-flow than stormflow samples at all sites. More specifically, PCE was detected with the highest frequency in samples from the upstream sites, particularly those from the Proctor Creek watershed.\nThe similarity in the pattern and distribution of OWICs in samples at sites upstream and downstream from known CSO outfalls indicates that CSOs were not the dominant source of OWICs during the study period. Other sources may include non-sewage discharges-both permitted, permitted but out of compliance, and non-permitted, contaminated groundwater from leaking sewer lines or septic systems, sanitary-sewer overflows, or dry-weather runoff from outdoor water use. These OWICs may be better suited for identifying sewage-contaminated groundwater than sewage-contaminated surface water because groundwater is not typically affected by the OWICs that are more common in urban runoff.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105209","collaboration":"Prepared in cooperation with the City of Atlanta","usgsCitation":"Lawrence, S.J., and LaFontaine, J.H., 2010, Occurrence of organic wastewater-indicator compounds in urban streams of the Atlanta area, Georgia, 2003-2006: U.S. Geological Survey Scientific Investigations Report 2010-5209, x, 110 p.; Appendices, https://doi.org/10.3133/sir20105209.","productDescription":"x, 110 p.; Appendices","temporalStart":"2003-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116673,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5209.jpg"},{"id":110947,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5209/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","city":"Atlanta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.5675,33.583333333333336 ], [ -84.5675,33.916666666666664 ], [ -84.3,33.916666666666664 ], [ -84.3,33.583333333333336 ], [ -84.5675,33.583333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e478be4b07f02db488034","contributors":{"authors":[{"text":"Lawrence, Stephen J. slawrenc@usgs.gov","contributorId":1885,"corporation":false,"usgs":true,"family":"Lawrence","given":"Stephen","email":"slawrenc@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006094,"text":"sir20105244 - 2010 - Analysis and simulation of water-level, specific conductance, and total phosphorus dynamics of the Loxahatchee National Wildlife Refuge, Florida, 1995-2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20105244","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2010","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":"2010-5244","title":"Analysis and simulation of water-level, specific conductance, and total phosphorus dynamics of the Loxahatchee National Wildlife Refuge, Florida, 1995-2006","docAbstract":"The Arthur R. Marshall Loxahatchee Wildlife Refuge (Refuge) was established in 1951 through a license agreement between the South Florida Water Management District and the U.S. Fish and Wildlife Service (USFWS) as part of the Migratory Bird Conservation Act. Under the license agreement, the State of Florida owns the land of the Refuge and the USFWS manages the land. Fifty-seven miles of levees and borrow canals surround the Refuge. Water in the canals surrounding the marsh is controlled by inflows and outflows through control structures. The transport of canal water with higher specific conductance and nutrient concentrations to the interior marsh has the potential to alter critical ecosystem functions of the marsh.\nData-mining techniques were applied to 12 years (1995-2006) of historical data to systematically synthesize and analyze the dataset to enhance the understanding of the hydrology and water quality of the Refuge. From the analysis, empirical models, including artificial neural network (ANN) models, were developed to answer critical questions related to the relative effects of controlled releases, precipitation, and meteorological forcing on water levels, specific conductance, and phosphorous concentrations of the interior marsh. Data mining is a powerful tool for converting large databases into information to solve complex problems resulting from large numbers of explanatory variables or poorly understood process physics. For the application of the linear regression and ANN models to the Refuge, data-mining methods were applied to maximize the information content in the raw data. Signal processing techniques used in the data analysis and model development included signal decomposition, digital filtering, time derivatives, time delays, and running averages. Inputs to the empirical models included time series, or signals, of inflows and outflows from the control structures, precipitation, and evapotranspiration. For a complex hydrologic system like the Refuge, the statistical accuracy of the models and predictive capability were good. The water-level models have coefficient of determination (R<sup>2</sup> values ranging from 0.90 to 0.98. The R<sup>2</sup> for the specific conductance model is 0.82, and the R2 for the total phosphorus model is 0.51. The accuracy of the models was attributable to the quantity and quality of the available data.\nTo make the models directly available to all stakeholders, an easy-to-use decision support system (DSS) called the Loxahatchee Artificial Neural Network Model (LOXANN) DSS was developed as a spreadsheet application that integrates the historical database, linear regression and ANN models, model controls, streaming graphics, and model output. The LOXANN DSS allows Refuge managers and other users to easily execute the water level, specific conductance, and phosphorous models to evaluate various water-resource management scenarios. The user is able to choose from three options in setting the control-structure flows: as a percentage of historical flow, as a constant flow, or as a user-defined hydrograph. Output from the LOXANN DSS includes tabular time series of predictions of the measured data and predictions of the user-specified conditions. A three-dimensional visualization routine also was developed that displays longitudinal specific conductance conditions.\nTwo scenarios were simulated with the LOXANN DSS. One scenario increased the historical flows at four control structures by 40 percent. The second scenario used a user-defined hydrograph to set the outflow from the Refuge to the weekly average inflow to the Refuge delayed by 2 days. Both scenarios decreased the potential of canal water intruding into the marsh by decreasing the slope of the water level between the canals and the marsh.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105244","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science","usgsCitation":"Conrads, P., and Roehl, E.A., 2010, Analysis and simulation of water-level, specific conductance, and total phosphorus dynamics of the Loxahatchee National Wildlife Refuge, Florida, 1995-2006: U.S. Geological Survey Scientific Investigations Report 2010-5244, viii, 42 p., https://doi.org/10.3133/sir20105244.","productDescription":"viii, 42 p.","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":116676,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5244.jpg"},{"id":110948,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5244/","linkFileType":{"id":5,"text":"html"}}],"state":"Florida","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eaf7e4b0c8380cd48b24","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003368,"text":"70003368 - 2010 - Salinity tolerance of the African Jewelfish <i>Hemichromis letourneuxi</i>, a non-native cichlid in South Florida (USA)","interactions":[],"lastModifiedDate":"2021-01-12T14:10:41.918083","indexId":"70003368","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Salinity tolerance of the African Jewelfish <i>Hemichromis letourneuxi</i>, a non-native cichlid in South Florida (USA)","docAbstract":"<p><span>The African Jewelfish (Cichlidae:&nbsp;</span><span class=\"genus-species\">Hemichromis letourneuxi</span><span>) is a predatory, non-native fish that has recently (since 2000) begun to expand its geographic range across south Florida. The salinity tolerance of&nbsp;</span><span class=\"genus-species\">H. letourneuxi</span><span>&nbsp;was unknown, and thus it was unclear whether the species could use estuarine or coastal environments. The response of&nbsp;</span><span class=\"genus-species\">H. letourneuxi</span><span>&nbsp;to chronic change in salinity was evaluated here by exposing fish to progressively increasing salinities (0–80&nbsp;ppt). Fish were held at target salinities for a minimum of 30&nbsp;days. The species showed excellent survival from 0–50&nbsp;ppt. At 60&nbsp;ppt, only 25% of the fish survived, and mean estimated survival time was 12&nbsp;days. Above 60&nbsp;ppt, mortality was 100%. Fish grew equally well from 0–50 ppt. In another experiment, fish were transferred directly from freshwater to various salinities from 5–35&nbsp;ppt (seawater) and held for seven days, after which survivors were returned to freshwater. All fish transferred directly from freshwater to salinities up to 20&nbsp;ppt survived; only 56% survived when transferred from freshwater to 25&nbsp;ppt, and none survived transfer above 25 ppt. Experimental results indicated that&nbsp;</span><span class=\"genus-species\">H. letourneuxi</span><span>&nbsp;can persist easily in salinities prevalent in coastal environments, even during periods of hypersalinity common in south Florida estuaries. Salinity will not restrict its dispersal by coastal pathways.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CP-09-069","usgsCitation":"Langston, J.N., Schofield, P., Hill, J., and Loftus, W., 2010, Salinity tolerance of the African Jewelfish <i>Hemichromis letourneuxi</i>, a non-native cichlid in South Florida (USA): Copeia, v. 2010, no. 3, p. 475-480, https://doi.org/10.1643/CP-09-069.","productDescription":"6 p.","startPage":"475","endPage":"480","costCenters":[{"id":268,"text":"Everglades National Park Field Station","active":false,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":382098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"South Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.96875,\n              24.607069137709683\n            ],\n            [\n              -78.75,\n              24.607069137709683\n            ],\n            [\n              -78.75,\n              28.38173504322308\n            ],\n            [\n              -82.96875,\n              28.38173504322308\n            ],\n            [\n              -82.96875,\n              24.607069137709683\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2010","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdf33","contributors":{"authors":[{"text":"Langston, Jacqueline N.","contributorId":29562,"corporation":false,"usgs":true,"family":"Langston","given":"Jacqueline","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":347036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":347037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Jeffrey E.","contributorId":36673,"corporation":false,"usgs":true,"family":"Hill","given":"Jeffrey E.","affiliations":[],"preferred":false,"id":347038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftus, William F.","contributorId":48628,"corporation":false,"usgs":true,"family":"Loftus","given":"William F.","affiliations":[],"preferred":false,"id":347039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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