{"pageNumber":"1442","pageRowStart":"36025","pageSize":"25","recordCount":184722,"records":[{"id":70103044,"text":"70103044 - 2013 - A description of the nearshore fish communities in the Huron-Erie Corridor using multiple gear types","interactions":[],"lastModifiedDate":"2015-11-30T11:27:59","indexId":"70103044","displayToPublicDate":"2014-02-01T14:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A description of the nearshore fish communities in the Huron-Erie Corridor using multiple gear types","docAbstract":"<p>Great Lakes coastal wetlands provide a critical habitat for many fish species throughout their life cycles. Once home to one of the largest wetland complexes in the Great Lakes, coastal wetlands in the Huron&ndash;Erie Corridor (HEC) have decreased dramatically since the early 1900s. We characterized the nearshore fish communities at three different wetland complexes in the HEC using electrofishing, seines, and fyke nets. Species richness was highest in the Detroit River (63), followed by the St. Clair Delta (56), and Western Lake Erie (47). The nearshore fish communities in the Detroit River and St. Clair Delta consisted primarily of shiners, bluntnose minnow, centrarchids, and brook silverside, while the Western Lake Erie sites consisted of high proportions of non-native taxa including common carp, gizzard shad, goldfish, and white perch. Species richness estimates using individual-based rarefaction curves were higher when using electrofishing data compared to fyke nets or seine hauls at each wetland. Twelve fish species were captured exclusively during electrofishing assessments, while one species was captured exclusively in fyke nets, and none exclusively during seine hauls. Western Lake Erie wetlands were more indicative of degraded systems with lower species richness, lower proportion of turbidity intolerant species, and increased abundance of non-native taxa. This work highlights the importance of coastal wetlands in the HEC by capturing 69 different fish species utilizing these wetlands to fulfill life history requirements and provides insight when selecting gears to sample nearshore littoral areas.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2014.01.007","usgsCitation":"Francis, J.T., Chiotti, J.A., Boase, J., Thomas, M.V., Manny, B.A., and Roseman, E., 2013, A description of the nearshore fish communities in the Huron-Erie Corridor using multiple gear types: Journal of Great Lakes Research, v. 40, p. 52-61, https://doi.org/10.1016/j.jglr.2014.01.007.","productDescription":"10 p.","startPage":"52","endPage":"61","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050304","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":295235,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2014.01.007"},{"id":295236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Detroit River, Great Lakes, Lake Erie, St. Clair Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.529296875,\n              42.73894375124379\n            ],\n            [\n              -82.232666015625,\n              42.374778361114195\n            ],\n            [\n              -82.3699951171875,\n              42.261049162113856\n            ],\n            [\n              -82.63916015625,\n              42.19189902447192\n            ],\n            [\n              -82.8369140625,\n              42.200038266046754\n            ],\n            [\n              -82.957763671875,\n              42.1104489601222\n            ],\n            [\n              -82.891845703125,\n              42.0615286181226\n            ],\n            [\n              -83.0291748046875,\n              41.64828831259535\n            ],\n            [\n              -83.21044921875,\n              41.529141988723104\n            ],\n            [\n              -83.5565185546875,\n              41.475660200278234\n            ],\n            [\n              -83.6773681640625,\n              41.63597302844412\n            ],\n            [\n              -83.770751953125,\n              41.87774145109676\n            ],\n            [\n              -83.66638183593749,\n              42.02889410108475\n            ],\n            [\n              -83.42468261718749,\n              42.12267315117259\n            ],\n            [\n              -83.2708740234375,\n              42.22851735620852\n            ],\n            [\n              -83.16650390625,\n              42.4112905190282\n            ],\n            [\n              -83.023681640625,\n              42.62587560259137\n            ],\n            [\n              -82.90283203125,\n              42.75104599038353\n            ],\n            [\n              -82.7490234375,\n              42.79136972365016\n            ],\n            [\n              -82.59521484375,\n              42.771211138625894\n            ],\n            [\n              -82.529296875,\n              42.73894375124379\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5438f518e4b0c47db4296bb6","contributors":{"authors":[{"text":"Francis, James T.","contributorId":81826,"corporation":false,"usgs":true,"family":"Francis","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":493133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiotti, Justin A.","contributorId":59371,"corporation":false,"usgs":true,"family":"Chiotti","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":493130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Mike V.","contributorId":61363,"corporation":false,"usgs":true,"family":"Thomas","given":"Mike","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":493132,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roseman, Edward F.","contributorId":103204,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":493134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70096235,"text":"70096235 - 2013 - Geologic framework of the northern North Carolina, USA inner continental shelf and its influence on coastal evolution","interactions":[],"lastModifiedDate":"2014-03-12T10:58:25","indexId":"70096235","displayToPublicDate":"2014-02-01T10:53:24","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic framework of the northern North Carolina, USA inner continental shelf and its influence on coastal evolution","docAbstract":"The inner continental shelf off the northern Outer Banks of North Carolina was mapped using sidescan sonar, interferometric swath bathymetry, and high-resolution chirp and boomer subbottom profiling systems. We use this information to describe the shallow stratigraphy, reinterpret formation mechanisms of some shoal features, evaluate local relative sea-levels during the Late Pleistocene, and provide new constraints, via recent bedform evolution, on regional sediment transport patterns. The study area is approximately 290 km long by 11 km wide, extending from False Cape, Virginia to Cape Lookout, North Carolina, in water depths ranging from 6 to 34 m. Late Pleistocene sedimentary units comprise the shallow geologic framework of this region and determine both the morphology of the inner shelf and the distribution of sediment sources and sinks. We identify Pleistocene sedimentary units beneath Diamond Shoals that may have provided a geologic template for the location of modern Cape Hatteras and earlier paleo-capes during the Late Pleistocene. These units indicate shallow marine deposition 15–25 m below present sea-level. The uppermost Pleistocene unit may have been deposited as recently as Marine Isotope Stage 3, although some apparent ages for this timing may be suspect. Paleofluvial valleys incised during the Last Glacial Maximum traverse the inner shelf throughout the study area and dissect the Late Pleistocene units. Sediments deposited in the valleys record the Holocene transgression and provide insight into the evolutionary history of the barrier-estuary system in this region. The relationship between these valleys and adjacent shoal complexes suggests that the paleo-Roanoke River did not form the Albemarle Shelf Valley complex as previously proposed; a major fluvial system is absent and thus makes the formation of this feature enigmatic. Major shoal features in the study area show mobility at decadal to centennial timescales, including nearly a kilometer of shoal migration over the past 134 yr. Sorted bedforms occupy ~ 1000 km2 of seafloor in Raleigh Bay, and indicate regional sediment transport patterns between Capes Hatteras and Lookout that help explain long-term sediment accumulation and morphologic development. Portions of the inner continental shelf with relatively high sediment abundance are characterized by shoals and shoreface-attached ridges, and where sediment is less abundant, the seafloor is dominated by sorted bedforms. These relationships are also observed in other passive margin settings, suggesting a continuum of shelf morphology that may have broad application for interpreting inner shelf sedimentation patterns.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.11.011","usgsCitation":"Thieler, E.R., Foster, D.S., Himmelstoss, E., and Mallinson, D., 2013, Geologic framework of the northern North Carolina, USA inner continental shelf and its influence on coastal evolution: Marine Geology, v. 348, p. 113-130, https://doi.org/10.1016/j.margeo.2013.11.011.","productDescription":"18 p.","startPage":"113","endPage":"130","ipdsId":"IP-052022","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2013.11.011","text":"Publisher Index Page"},{"id":283875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283870,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2013.11.011"}],"country":"United States","state":"North Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77,8.333333333333334E-4 ], [ -77,8.333333333333334E-4 ], [ -75,8.333333333333334E-4 ], [ -75,8.333333333333334E-4 ], [ -77,8.333333333333334E-4 ] ] ] } } ] }","volume":"348","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517041e4b05569d805a21f","chorus":{"doi":"10.1016/j.margeo.2013.11.011","url":"http://dx.doi.org/10.1016/j.margeo.2013.11.011","publisher":"Elsevier BV","authors":"Thieler E. Robert, Foster David S., Himmelstoss Emily A., Mallinson David J.","journalName":"Marine Geology","publicationDate":"2/2014","auditedOn":"3/22/2016","publiclyAccessibleDate":"11/18/2013"},"contributors":{"authors":[{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Himmelstoss, Emily A.","contributorId":24736,"corporation":false,"usgs":true,"family":"Himmelstoss","given":"Emily A.","affiliations":[],"preferred":false,"id":491476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mallinson, David J.","contributorId":74222,"corporation":false,"usgs":true,"family":"Mallinson","given":"David J.","affiliations":[],"preferred":false,"id":491477,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70095164,"text":"70095164 - 2013 - Identifying when tagged fishes have been consumed by piscivorous predators: application of multivariate mixture models to movement parameters of telemetered fishes","interactions":[],"lastModifiedDate":"2018-09-25T11:29:40","indexId":"70095164","displayToPublicDate":"2014-02-01T07:50:58","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Identifying when tagged fishes have been consumed by piscivorous predators: application of multivariate mixture models to movement parameters of telemetered fishes","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\">\n<h5 class=\"Heading\">Background</h5>\n<p class=\"Para\">Consumption of telemetered fishes by piscivores is problematic for telemetry studies because tag detections from the piscivore could introduce bias into the analysis of telemetry data. We illustrate the use of multivariate mixture models to estimate group membership (smolt or predator) of telemetered juvenile Chinook salmon (<i class=\"EmphasisTypeItalic\">Oncorhynchus tshawytscha</i>), juvenile steelhead trout (<i class=\"EmphasisTypeItalic\">O. mykiss</i>), striped bass (<i class=\"EmphasisTypeItalic\">Morone saxatilis</i>), smallmouth bass (<i class=\"EmphasisTypeItalic\">Micropterus dolomieu</i>) and spotted bass (<i class=\"EmphasisTypeItalic\">M. punctulatus</i>) in the Sacramento River, CA, USA. First, we estimated two types of track statistics from spatially explicit two-dimensional movement tracks of telemetered fishes: the L&eacute;vy exponent (<i class=\"EmphasisTypeItalic\">b</i>) and tortuosity (<i class=\"EmphasisTypeItalic\">&tau;</i>). Second, we hypothesized that the distribution of each track statistic would differ between predators and smolts. To estimate the distribution of track statistics for putative predators and smolts, we fitted a bivariate normal mixture model to the mixed distribution of track statistics. Lastly, we classified each track as a smolt or predator using parameter estimates from the mixture model to estimate the probability that each track was that of a predator or smolt.</p>\n</div>\n<div id=\"ASec2\" class=\"AbstractSection\">\n<h5 class=\"Heading\">Results</h5>\n<p class=\"Para\">Tracks classified as predators exhibited movement that was tortuous and consistent with prey searching tactics, whereas tracks classified as smolts were characterized by directed, linear downstream movement. The estimated mean tortuosity was 0.565 (SD&thinsp;=&thinsp;0.07) for predators and 0.944 (SD&thinsp;=&thinsp;0.001) for smolts. The estimated mean L&eacute;vy exponent was 1.84 (SD&thinsp;=&thinsp;1.23) for predators and -0.304 (SD&thinsp;=&thinsp;1.46) for smolts. We correctly classified 90% of the&nbsp;<i class=\"EmphasisTypeItalic\">Micropterus</i>&nbsp;species and 72% of the striped bass as predators. For tagged smolts, 80% of Chinook salmon and 74% of steelhead trout were not classified as predators.</p>\n</div>\n<div id=\"ASec3\" class=\"AbstractSection\">\n<h5 class=\"Heading\">Conclusions</h5>\n<p class=\"Para\">Mixture models proved valuable as a means to differentiate between salmonid smolts and predators that consumed salmonid smolts. However, successful application of this method requires that telemetered fishes and their predators exhibit measurable differences in movement behavior. Our approach is flexible, allows inclusion of multiple track statistics and improves upon rule-based manual classification methods.</p>\n</div>","language":"English","publisher":"Biomed Central","doi":"10.1186/2050-3385-2-3","usgsCitation":"Romine, J.G., Perry, R.W., Johnston, S.V., Fitzer, C.W., Pagliughi, S.W., and Blake, A.R., 2013, Identifying when tagged fishes have been consumed by piscivorous predators: application of multivariate mixture models to movement parameters of telemetered fishes: Animal Biotelemetry, v. 2, no. 3, 13 p., https://doi.org/10.1186/2050-3385-2-3.","productDescription":"13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051693","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473360,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2050-3385-2-3","text":"Publisher Index Page"},{"id":282922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.522222,38.2375 ], [ -121.522222,38.243056 ], [ -121.513889,38.243056 ], [ -121.513889,38.2375 ], [ -121.522222,38.2375 ] ] ] } } ] }","volume":"2","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57209133e4b071321fe65661","contributors":{"authors":[{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":491085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Samuel V.","contributorId":105220,"corporation":false,"usgs":true,"family":"Johnston","given":"Samuel","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":491090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzer, Christopher W.","contributorId":78240,"corporation":false,"usgs":true,"family":"Fitzer","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":491089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pagliughi, Stephen W.","contributorId":22242,"corporation":false,"usgs":true,"family":"Pagliughi","given":"Stephen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":491088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blake, Aaron R. 0000-0001-7348-2336 ablake@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-2336","contributorId":5059,"corporation":false,"usgs":true,"family":"Blake","given":"Aaron","email":"ablake@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491087,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048209,"text":"70048209 - 2013 - Comparison of harvest scenarios for the cost-effective suppression of Lake Trout in Swan Lake, Montana","interactions":[],"lastModifiedDate":"2016-07-11T14:28:53","indexId":"70048209","displayToPublicDate":"2014-01-24T11:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of harvest scenarios for the cost-effective suppression of Lake Trout in Swan Lake, Montana","docAbstract":"<p><span>Given the large amount of resources required for long-term control or eradication projects, it is important to assess strategies and associated costs and outcomes before a particular plan is implemented. We developed a population model to assess the cost-effectiveness of mechanical removal strategies for suppressing long-term abundance of nonnative Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;in Swan Lake, Montana. We examined the efficacy of targeting life stages (i.e., juveniles or adults) using temporally pulsed fishing effort for reducing abundance and program cost. Exploitation rates were high (0.80 for juveniles and 0.68 for adults) compared with other lakes in the western USA with Lake Trout suppression programs. Harvesting juveniles every year caused the population to decline, whereas harvesting only adults caused the population to increase above carrying capacity. Simultaneous harvest of juveniles and adults was required to cause the population to collapse (i.e., 95% reduction relative to unharvested abundance) with 95% confidence. The population could collapse within 15&nbsp;years for a total program cost of US$1,578,480 using the most aggressive scenario. Substantial variation in cost existed among harvest scenarios for a given reduction in abundance; however, total program cost was minimized when collapse was rapid. Our approach provides a useful case study for evaluating long-term mechanical removal options for fish populations that are not likely to be eradicated.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.824935","usgsCitation":"Syslo, J.M., Guy, C.S., and Cox, B.S., 2013, Comparison of harvest scenarios for the cost-effective suppression of Lake Trout in Swan Lake, Montana: North American Journal of Fisheries Management, v. 33, no. 6, p. 1079-1090, https://doi.org/10.1080/02755947.2013.824935.","productDescription":"12 p.","startPage":"1079","endPage":"1090","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046340","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":325037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Swan Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.99276733398438,\n              47.9085180470967\n            ],\n            [\n              -113.99276733398438,\n              48.02162055064295\n            ],\n            [\n              -113.83415222167969,\n              48.02162055064295\n            ],\n            [\n              -113.83415222167969,\n              47.9085180470967\n            ],\n            [\n              -113.99276733398438,\n              47.9085180470967\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-10-10","publicationStatus":"PW","scienceBaseUri":"5784c338e4b0e02680be591a","contributors":{"authors":[{"text":"Syslo, John M.","contributorId":171452,"corporation":false,"usgs":false,"family":"Syslo","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":518195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Benjamin S.","contributorId":105158,"corporation":false,"usgs":true,"family":"Cox","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642127,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048243,"text":"70048243 - 2013 - Carbon isotope equilibration during sulphate-limited anaerobic oxidation of methane","interactions":[],"lastModifiedDate":"2014-01-31T09:43:09","indexId":"70048243","displayToPublicDate":"2014-01-24T10:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Carbon isotope equilibration during sulphate-limited anaerobic oxidation of methane","docAbstract":"Collectively, marine sediments comprise the largest reservoir\nof methane on Earth. The flux of methane from the sea\nbed to the overlying water column is mitigated by the\nsulphate-dependent anaerobic oxidation of methane by marine\nmicrobes within a discrete sedimentary horizon termed the\nsulphate–methane transition zone. According to conventional\nisotope systematics, the biological consumption of methane\nleaves a residue of methane enriched in <sup>13</sup>C (refs 1–3).\nHowever, in many instances the methane within sulphate–methane transition zones is depleted in <sup>13</sup>C, consistent with\nthe production of methane, and interpreted as evidence\nfor the intertwined anaerobic oxidation and production of\nmethane<sup>4–6</sup>. Here, we report results from experiments in\nwhich we incubated cultures of microbial methane consumers\nwith methane and low levels of sulphate, and monitored the\nstable isotope composition of the methane and dissolved\ninorganic carbon pools over time. Residual methane became\nprogressively enriched in <sup>13</sup>C at sulphate concentrations above\n0.5 mM, and progressively depleted in <sup>13</sup>C below this threshold.\nWe attribute the shift to <sup>13</sup>C depletion during the anaerobic\noxidation of methane at low sulphate concentrations to the\nmicrobially mediated carbon isotope equilibration between\nmethane and carbon dioxide. We suggest that this isotopic\ne ect could help to explain the <sup>13</sup>C-depletion of methane in\nsubseafloor sulphate–methane transition zones.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1038/ngeo2069","usgsCitation":"Yoshinaga, M.Y., Holler, T., Goldhammer, T., Wegener, G., Pohlman, J., Brunner, B., Kuypers, M., Hinrichs, K., and Elvert, M., 2013, Carbon isotope equilibration during sulphate-limited anaerobic oxidation of methane: Nature Geoscience, 4 p., https://doi.org/10.1038/ngeo2069.","productDescription":"4 p.","ipdsId":"IP-051461","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":281794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281793,"type":{"id":11,"text":"Document"},"url":"https://www.nature.com/ngeo/journal/vaop/ncurrent/full/ngeo2069.html"},{"id":281792,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo2069"}],"noUsgsAuthors":false,"publicationDate":"2014-01-26","publicationStatus":"PW","scienceBaseUri":"5351702be4b05569d805a186","contributors":{"authors":[{"text":"Yoshinaga, Marcos Y.","contributorId":17531,"corporation":false,"usgs":true,"family":"Yoshinaga","given":"Marcos","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":484115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holler, Thomas","contributorId":9573,"corporation":false,"usgs":true,"family":"Holler","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":484114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldhammer, Tobias","contributorId":108398,"corporation":false,"usgs":true,"family":"Goldhammer","given":"Tobias","email":"","affiliations":[],"preferred":false,"id":484122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wegener, Gunter","contributorId":34433,"corporation":false,"usgs":true,"family":"Wegener","given":"Gunter","email":"","affiliations":[],"preferred":false,"id":484116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pohlman, John W.","contributorId":95288,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":484120,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brunner, Benjamin","contributorId":89058,"corporation":false,"usgs":true,"family":"Brunner","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":484118,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuypers, Marcel","contributorId":76228,"corporation":false,"usgs":true,"family":"Kuypers","given":"Marcel","email":"","affiliations":[],"preferred":false,"id":484117,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hinrichs, Kai-Uwe","contributorId":89791,"corporation":false,"usgs":true,"family":"Hinrichs","given":"Kai-Uwe","affiliations":[],"preferred":false,"id":484119,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Elvert, Marcus","contributorId":102362,"corporation":false,"usgs":true,"family":"Elvert","given":"Marcus","affiliations":[],"preferred":false,"id":484121,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70047086,"text":"70047086 - 2013 - Methods to assess geological CO<sub>2</sub> storage capacity: Status and best practice","interactions":[],"lastModifiedDate":"2017-05-25T12:57:08","indexId":"70047086","displayToPublicDate":"2014-01-24T10:26:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Methods to assess geological CO<sub>2</sub> storage capacity: Status and best practice","docAbstract":"<p><span>To understand the emission reduction potential of carbon capture and storage (CCS), decision makers need to understand the amount of CO</span><span>2</span><span>&nbsp;that can be safely stored in the subsurface and the geographical distribution of storage resources. Estimates of storage resources need to be made using reliable and consistent methods. Previous estimates of CO</span><sub>2</sub><span> storage potential for a range of countries and regions have been based on a variety of methodologies resulting in a correspondingly wide range of estimates. </span><br><br><span>Consequently, there has been uncertainty about which of the methodologies were most appropriate in given settings, and whether the estimates produced by these methods were useful to policy makers trying to determine the appropriate role of CCS. In 2011, the IEA convened two workshops which brought together experts for six national surveys organisations to review CO</span><sub>2</sub><span> storage assessment methodologies and make recommendations on how to harmonise CO</span><sub>2</sub><span> storage estimates worldwide. This report presents the findings of these workshops and an internationally shared guideline for quantifying CO</span><sub>2 </sub><span>storage resources.</span></p>","language":"English","publisher":"International Energy Agency","usgsCitation":"Heidug, W., Brennan, S.T., Holloway, S., Warwick, P.D., McCoy, S., and Yoshimura, T., 2013, Methods to assess geological CO<sub>2</sub> storage capacity: Status and best practice, 43 p.","productDescription":"43 p.","ipdsId":"IP-046174","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":341649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341648,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.iea.org/publications/freepublications/publication/methods-to-assess-geological-co2-storage-capacity-status-and-best-practice.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59269bb7e4b0b7ff9fb48975","contributors":{"authors":[{"text":"Heidug, Wolf","contributorId":118432,"corporation":false,"usgs":false,"family":"Heidug","given":"Wolf","email":"","affiliations":[],"preferred":false,"id":518082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brennan, Sean T. 0000-0002-7102-9359 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":559,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":518079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holloway, Sam","contributorId":118672,"corporation":false,"usgs":false,"family":"Holloway","given":"Sam","email":"","affiliations":[],"preferred":false,"id":518083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":518081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCoy, Sean","contributorId":192247,"corporation":false,"usgs":false,"family":"McCoy","given":"Sean","email":"","affiliations":[],"preferred":false,"id":695965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yoshimura, Tsukasa","contributorId":192248,"corporation":false,"usgs":false,"family":"Yoshimura","given":"Tsukasa","email":"","affiliations":[],"preferred":false,"id":695966,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70059777,"text":"70059777 - 2013 - Breeding site heterogeneity reduces variability in frog recruitment and population dynamics","interactions":[],"lastModifiedDate":"2014-02-14T09:48:01","indexId":"70059777","displayToPublicDate":"2014-01-24T10:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Breeding site heterogeneity reduces variability in frog recruitment and population dynamics","docAbstract":"Environmental stochasticity can have profound effects on the dynamics and viability of wild populations, and habitat heterogeneity provides one mechanism by which populations may be buffered against the negative effects of environmental fluctuations. Heterogeneity in breeding pond hydroperiod across the landscape may allow amphibian populations to persist despite variable interannual precipitation. We examined recruitment dynamics over 10 yr in a high-elevation Columbia spotted frog (<i>Rana luteiventris</i>) population that breeds in ponds with a variety of hydroperiods. We combined these data with matrix population models to quantify the consequences of heterogeneity in pond hydroperiod on net recruitment (i.e. number of metamorphs produced) and population growth rates. We compared our heterogeneous system to hypothetical homogeneous environments with only ephemeral ponds, only semi-permanent ponds, and only permanent ponds. We also examined the effects of breeding pond habitat loss on population growth rates. Most eggs were laid in permanent ponds each year, but survival to metamorphosis was highest in the semi-permanent ponds. Recruitment success varied by both year and pond type. Net recruitment and stochastic population growth rate were highest under a scenario with homogeneous semi-permanent ponds, but variability in recruitment was lowest in the scenario with the observed heterogeneity in hydroperiods. Loss of pond habitat decreased population growth rate, with greater decreases associated with loss of permanent and semi-permanent habitat. The presence of a diversity of pond hydroperiods on the landscape will influence population dynamics, including reducing variability in recruitment in an uncertain climatic future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2013.12.013","usgsCitation":"McCaffery, R., Eby, L.A., Maxell, B.A., and Corn, P., 2013, Breeding site heterogeneity reduces variability in frog recruitment and population dynamics: Biological Conservation, v. 170, p. 169-176, https://doi.org/10.1016/j.biocon.2013.12.013.","productDescription":"8 p.","startPage":"169","endPage":"176","ipdsId":"IP-053191","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":282379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282378,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2013.12.013"}],"country":"United States","state":"Montana","otherGeospatial":"Little Rock Creek Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.977216,47.725464 ], [ -114.977216,47.729912 ], [ -114.938275,47.729912 ], [ -114.938275,47.725464 ], [ -114.977216,47.725464 ] ] ] } } ] }","volume":"170","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351702ae4b05569d805a180","contributors":{"authors":[{"text":"McCaffery, Rebecca M.","contributorId":57364,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca M.","affiliations":[],"preferred":false,"id":487805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eby, Lisa A.","contributorId":42910,"corporation":false,"usgs":true,"family":"Eby","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maxell, Bryce A.","contributorId":100113,"corporation":false,"usgs":true,"family":"Maxell","given":"Bryce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corn, Paul Stephen 0000-0002-4106-6335","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":107379,"corporation":false,"usgs":true,"family":"Corn","given":"Paul Stephen","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":487807,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70058441,"text":"sim3209 - 2013 - Geologic map of MTM -15027, -20027, -25027, and -25032 quadrangles, Margaritifer Terra region of Mars","interactions":[],"lastModifiedDate":"2015-04-15T15:20:13","indexId":"sim3209","displayToPublicDate":"2014-01-24T08:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3209","title":"Geologic map of MTM -15027, -20027, -25027, and -25032 quadrangles, Margaritifer Terra region of Mars","docAbstract":"<p>Mars Transverse Mercator (MTM) quadrangles &minus;15027, &minus;20027, &minus;25027, and &minus;25032 (lat 12.5&deg;&minus;28&deg; S., long 330&deg;&minus;335&deg; E. and lat 22.5&deg;&minus;28&deg; S., long 324.5&deg;&minus;330&deg; E.) in southwestern Margaritifer Terra include diverse erosional landforms, sedimentary deposits, and tectonic structures that record a long geologic and geomorphic history. The northeastern regional slope of the pre-Noachian crustal dichotomy (as expressed along the Chryse trough) and structures of the informally named Middle Noachian or older Holden and Ladon impact basins dominate the topography of the map area. A series of mesoscale outflow channels, Uzboi, Ladon, and Morava Valles, integrated these formerly enclosed basins by overflow and incision around the Noachian/Hesperian transition, although some flooding may have occurred earlier. The area includes excellent examples of Late Noachian to Hesperian valley networks, dissected crater rims, alluvial fans, deltas, and light-toned layered deposits, particularly in Holden and Eberswalde craters. Structural forms include Tharsis-radial grabens, Hesperian wrinkle ridges, floor-fractured impact craters, and severely disrupted chaotic terrains. These well-preserved landforms and sedimentary deposits represent multiple erosional epochs and discrete flooding events, which provide significant insight into the geomorphic processes and climate change on early Mars.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3209","collaboration":"Prepared for the <a href=\"http://www.nasa.gov/\" target=\"_blank\">National Aeronautics and Space Administration</a>","usgsCitation":"Irwin, R.P., and Grant, J.A., 2013, Geologic map of MTM -15027, -20027, -25027, and -25032 quadrangles, Margaritifer Terra region of Mars: U.S. Geological Survey Scientific Investigations Map 3209, Pamphlet: i, 11 p.; Map sheet: 54.93 x 41.90 inches; Read Me; Metadata; Database, https://doi.org/10.3133/sim3209.","productDescription":"Pamphlet: i, 11 p.; Map sheet: 54.93 x 41.90 inches; Read Me; Metadata; Database","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-035828","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":281456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3209.gif"},{"id":281453,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3209/SIM3209_readme"},{"id":281450,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3209/"},{"id":281452,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3209/pdf/sim3209_sheet.pdf"},{"id":281451,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3209/pdf/sim3209_pamphlet.pdf"},{"id":281454,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3209/SIM3209_metadata"},{"id":281455,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3209/downloads/SIM3209_GIS.zip"}],"scale":"1004000","projection":"Transverse Mercator projection","otherGeospatial":"Margaritifer Terra; Mars","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5bf0e4b0b290850fa357","contributors":{"authors":[{"text":"Irwin, Rossman P. III","contributorId":59718,"corporation":false,"usgs":true,"family":"Irwin","given":"Rossman","suffix":"III","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, John A.","contributorId":35230,"corporation":false,"usgs":true,"family":"Grant","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487048,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058777,"text":"ofr20131279 - 2013 - Native Prairie Adaptive Management: a multi region adaptive approach to invasive plant management on Fish and Wildlife Service owned native prairies","interactions":[],"lastModifiedDate":"2017-10-20T12:08:32","indexId":"ofr20131279","displayToPublicDate":"2014-01-24T08:16:00","publicationYear":"2013","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":"2013-1279","title":"Native Prairie Adaptive Management: a multi region adaptive approach to invasive plant management on Fish and Wildlife Service owned native prairies","docAbstract":"<p>Much of the native prairie managed by the U.S. Fish and Wildlife Service (FWS) in the Prairie Pothole Region (PPR) of the northern Great Plains is extensively invaded by the introduced cool-season grasses, smooth brome (<i>Bromus inermis</i>) and Kentucky bluegrass (<i>Poa pratensis</i>). Management to suppress these invasive plants has had poor to inconsistent success. The central challenge to managers is selecting appropriate management actions in the face of biological and environmental uncertainties. In partnership with the FWS, the U.S. Geological Survey (USGS) developed an adaptive decision support framework to assist managers in selecting management actions under uncertainty and maximizing learning from management outcomes. This joint partnership is known as the Native Prairie Adaptive Management (NPAM) initiative. The NPAM decision framework is built around practical constraints faced by FWS refuge managers and includes identification of the management objective and strategies, analysis of uncertainty and construction of competing decision models, monitoring, and mechanisms for model feedback and decision selection. Nineteen FWS field stations, spanning four states of the PPR, have participated in the initiative. These FWS cooperators share a common management objective, available management strategies, and biological uncertainties. Though the scope is broad, the initiative interfaces with individual land managers who provide site-specific information and receive updated decision guidance that incorporates understanding gained from the collective experience of all cooperators. We describe the technical components of this approach, how the components integrate and inform each other, how data feedback from individual cooperators serves to reduce uncertainty across the whole region, and how a successful adaptive management project is coordinated and maintained on a large scale.</p>\n<br/>\n<p>During an initial scoping workshop, FWS cooperators developed a consensus management objective: increase the composition of native grasses and forbs on native sod while minimizing cost. Cooperators agreed that decision guidance should be provided annually and should account for local, real-time vegetation conditions observed on the ground. Over the course of development, two prototypes of the decision framework were considered. The final framework recognized four alternative actions that managers could take in any given year: (1) Graze—targeted use of grazing ungulates to achieve defoliation, (2) Burn—application of prescribed fire as the single form of defoliation, (3) Burn/Graze—a combination treatment, and (4) Rest—no action. The study area included northern mixed-grass and tallgrass prairie. Native vegetation in mixed–grass prairie has a strong cool-season component and thus the dominant native species have a phenology similar to that of smooth brome and Kentucky bluegrass, making management of those species challenging. In contrast, tallgrass prairie has a strong warm-season native component, leading to an existence of cool-season windows, periods of time in the fall and spring when cool‐season invasive grass species are actively growing and vulnerable to damage via select management actions, but warm‐season grass species are not active and are thus less susceptible to damage via the same actions. This dichotomy between prairie types necessitated the development of separate but parallel decision support systems for mixed-grass and tallgrass biomes.</p>\n<br/>\n<p>Management units are parcels of native prairie that receive a single management treatment at any one time over their entire extent. At any particular time, the vegetation state of each management unit is characterized by the amount of cover of native grasses and forbs and the type of invasive grass that is dominant. In addition, each unit has a defoliation state which reflects the number of years since the last defoliation event and an index to how intensively the unit was managed during the previous 7 years. State-transition models are used to predict the state of a management unit in year t+1 from its state in year t and a prescribed management action that was applied between the two monitoring events. Alternative models are built around key uncertainties that make choice of a management action difficult. Three uncertainties revolve around whether the effect of management actions depends on (1) type of dominant invader, (2) past defoliation history, and (3) level of invasion. Two additional uncertainties are considered when choosing a management action for tallgrass units: (4) the effectiveness of grazing within the cool-season window as a surrogate for burning when smooth brome is the dominant invader, and (5) the differential effect of active management outside the window as compared to rest.</p>\n<br/>\n<p>Because data on the probability of transitioning from one state to another under the various models were lacking, expert opinion and elicitation were used to parameterize the models. In addition, cooperators participated in elicitation exercises to extract their beliefs regarding the value of having native prairie compared to the cost of achieving it. Quantifying the subjective expression of utility in this way allowed for mathematical representation of the management objective into an objective function. By maximizing the objective function, cumulative utility is maximized, leading to the identification of a sequence of decisions that will achieve the management objective.</p>\n<br/>\n<p>The NPAM system adopted a vegetation monitoring protocol that was rapid, inexpensive, and familiar to many of the cooperators. The monitoring protocol served three purposes: (1) determining current vegetation and defoliation states of each unit, (2) evaluating progress toward the management objective, and (3) assessing predictive performance of the alternative models. The management year runs from September 1 to August 31. Management can be applied anytime during that period and monitoring takes places from late June to mid-August. Cooperators enter vegetation data and management information into a centralized database by August 25 of each year. Given the current state of the system (vegetation and defoliation states) and the current understanding of the system (or the belief state), identifying the current best management decision is a matter of looking up the combination (that is, system state and belief state) in the appropriate (mixed-grass or tallgrass) optimal decision table. Given complete uncertainty at the outset of decision-making, initial assignment of equal belief weights to each model was believed reasonable. The decisions in the optimal decision table that correspond to the current belief state constitute the current optimal decision policy. By August 31 of each year, individual cooperators are provided with a recommended management action for each of their management units for the upcoming management year. Upon receiving the management recommendations for their units, managers consider the recommendation, along with other relevant information, and at some point during the year one of the management alternatives is carried out. This iterative cycle of making and implementing a management decision, predicting the response, monitoring the outcome, comparing predicted and observed outcomes, updating model weights, and recommending a management action for the next cycle is expected to result in an accumulation of weight on a representative model of system dynamics, thereby increasing understanding needed to effectively manage native prairies.</p>\n<br/>\n<p>The NPAM system is now entering its second full year of complete operation, and represents one of only a few fully implemented applications of adaptive management within the U.S. Fish and Wildlife Service. NPAM is truly unique in that it originated from the ground up as a result of the leadership and steadfastness of several refuge biologists and managers confronted with a common problem. These biologists recognized that working together across a large landscape presented perhaps the best opportunity for halting and reversing the invasion of native grasslands by non-native cool-season grasses. Importantly, the NPAM system encapsulates the collective thinking and experience of tens if not hundreds of individuals who have battled this vexing problem for much of their careers.</p>\n<br/>\n<p>The NPAM initiative is rooted in principles of adaptive management, thereby affording the opportunity for grassland managers to pursue management objectives while acquiring information to reduce uncertainty and improve future management. The project introduced a number of technical innovations that will serve as templates for conservation efforts throughout and beyond the U.S. Fish and Wildlife Service. First, NPAM is an on-the-ground implementation of active adaptive management—possibly the first of its kind in conservation management—in which recommended management actions result from a prospective analysis of future learning (Williams, 1996). Second, by the use of dynamic optimization, NPAM demonstrates how decisions can be made that take into account possible future transitions of the system. Third, NPAM demonstrates how models of partial controllability are an effective means of accommodating unpredictable circumstances that cause a manager to follow a different course than was intended. Finally, the database developed for NPAM is an unparalleled system that enables the rapid integration of data from the field for the generation of ‘just-in-time’ management recommendations. In all, NPAM provides an example of how a science-management partnership can be forged to achieve large-scale conservation objectives.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131279","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Gannon, J., Shaffer, T.L., and Moore, C., 2013, Native Prairie Adaptive Management: a multi region adaptive approach to invasive plant management on Fish and Wildlife Service owned native prairies: U.S. Geological Survey Open-File Report 2013-1279, Report: vii, 184 p.; Downloads Directory, https://doi.org/10.3133/ofr20131279.","productDescription":"Report: vii, 184 p.; Downloads Directory","numberOfPages":"190","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043840","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":281449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131279.jpg"},{"id":280311,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1279/"},{"id":281447,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1279/pdf/of2013-1279.pdf"},{"id":281448,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1279/Downloads/"}],"country":"United States","state":"Minnesota;Montana;North Dakota;South Dakota","otherGeospatial":"Great Plains;Prairie Pothole Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.32,40.75 ], [ -116.32,50.04 ], [ -90.88,50.04 ], [ -90.88,40.75 ], [ -116.32,40.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd68a3e4b0b290851022f6","contributors":{"authors":[{"text":"Gannon, Jill J.","contributorId":12722,"corporation":false,"usgs":true,"family":"Gannon","given":"Jill J.","affiliations":[],"preferred":false,"id":487376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":487374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Clinton T.","contributorId":9767,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton T.","affiliations":[],"preferred":false,"id":487375,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047553,"text":"70047553 - 2013 - Avian response to conservation buffers in agricultural landscapes during winter","interactions":[],"lastModifiedDate":"2021-04-26T13:15:01.723398","indexId":"70047553","displayToPublicDate":"2014-01-22T14:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Avian response to conservation buffers in agricultural landscapes during winter","docAbstract":"<p>Native herbaceous vegetation cover along row‐crop field edges (i.e., field buffers) increases breeding densities of many bird species. However, the effect of field buffers on bird species during the non‐breeding season is less understood. We compared density, avian richness, and avian conservation value on row‐crop fields containing buffers strategically designed for wildlife versus fields without buffers in 3 southeastern U.S. states during winter 2007 and 2008. Fields with buffers were enrolled in U.S. Department of Agriculture, Conservation Reserve Program practice Habitat Buffers for Upland Birds (CP33), which targets restoration of northern bobwhite (<i>Colinus virginianus</i>) and other upland bird species. Overall species richness did not differ on fields with buffers versus fields without buffers in 2007, but was 29% greater on fields with buffers in 2008. Swamp sparrows (<i>Melospiza georgiana</i>), song sparrows (<i>M. melodia</i>), field sparrows (<i>Spizella pusilla</i>), and red‐bellied woodpeckers (<i>Melanerpes carolinus</i>) had greater densities on fields with buffers compared with fields without buffers. Increasing field‐buffer width did not result in greater bird densities. Our results suggest a small change in primary land use (≈7%) produced a disproportionate population response by some grassland‐dependent and woodland bird species during winter. Because field buffers provide a direct source of winter food and cover resources, they may be a pragmatic means to provide critical non‐breeding habitat with little alteration of existing agricultural systems.</p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/wsb.405","usgsCitation":"Evans, K.O., Burger, L., Riffell, S.K., Smith, M.D., Twedt, D.J., Wilson, R.R., Vorisek, S., Rideout, C., and Heyden, K., 2013, Avian response to conservation buffers in agricultural landscapes during winter: Wildlife Society Bulletin, v. 38, no. 2, p. 257-264, https://doi.org/10.1002/wsb.405.","productDescription":"8 p.","startPage":"257","endPage":"264","ipdsId":"IP-049695","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":500013,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e28fd589782242528c3edb38b2c5a12f","text":"External Repository"},{"id":282038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Kentucky, Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.12060546875,\n              33.02708758002874\n            ],\n            [\n              -89.31884765624999,\n              31.98944183792288\n            ],\n            [\n              -88.505859375,\n              32.80574473290688\n            ],\n            [\n              -88.2861328125,\n              34.95799531086792\n            ],\n            [\n              -90.28564453124999,\n              35.02999636902566\n            ],\n            [\n              -90.10986328125,\n              36.43896124085945\n            ],\n            [\n              -92.08740234375,\n              36.491973470593685\n            ],\n            [\n              -93.251953125,\n              34.43409789359469\n            ],\n            [\n              -93.93310546875,\n              33.55970664841198\n            ],\n            [\n              -93.91113281249999,\n              33.04550781490999\n            ],\n            [\n              -91.12060546875,\n              33.02708758002874\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.98999023437499,\n              36.6551995018735\n            ],\n            [\n              -86.011962890625,\n              37.95719224376526\n            ],\n            [\n              -87.099609375,\n              37.81846319511331\n            ],\n            [\n              -87.451171875,\n              37.92686760148135\n            ],\n            [\n              -87.7972412109375,\n              37.89219554724437\n            ],\n            [\n              -88.099365234375,\n              37.666429212090605\n            ],\n            [\n              -88.53881835937499,\n              37.33522435930639\n            ],\n            [\n              -89.07714843749999,\n              37.16031654673677\n            ],\n            [\n              -89.384765625,\n              36.59788913307022\n            ],\n            [\n              -85.98999023437499,\n              36.6551995018735\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-04","publicationStatus":"PW","scienceBaseUri":"53517027e4b05569d805a173","contributors":{"authors":[{"text":"Evans, Kristine O.","contributorId":58190,"corporation":false,"usgs":true,"family":"Evans","given":"Kristine","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":482388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burger, L. Wes Jr.","contributorId":48481,"corporation":false,"usgs":true,"family":"Burger","given":"L. Wes","suffix":"Jr.","affiliations":[],"preferred":false,"id":482387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riffell, Samuel K.","contributorId":102386,"corporation":false,"usgs":true,"family":"Riffell","given":"Samuel","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":482393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Mark D.","contributorId":65385,"corporation":false,"usgs":true,"family":"Smith","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":482389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":482385,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, R. Randy","contributorId":100287,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":482392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vorisek, Shawchyi","contributorId":69888,"corporation":false,"usgs":true,"family":"Vorisek","given":"Shawchyi","email":"","affiliations":[],"preferred":false,"id":482390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rideout, Catherine","contributorId":79020,"corporation":false,"usgs":true,"family":"Rideout","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":482391,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heyden, Kate","contributorId":11117,"corporation":false,"usgs":true,"family":"Heyden","given":"Kate","email":"","affiliations":[],"preferred":false,"id":482386,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70056147,"text":"70056147 - 2013 - Associations between iron concentration and productivity in montane streams of the Black Hills, South Dakota","interactions":[],"lastModifiedDate":"2014-06-04T11:30:57","indexId":"70056147","displayToPublicDate":"2014-01-22T14:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3580,"text":"The Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Associations between iron concentration and productivity in montane streams of the Black Hills, South Dakota","docAbstract":"Iron is an important micronutrient found in aquatic systems that can influence nutrient availability (e.g., phosphorus) and primary productivity. In streams, high iron concentrations often are associated with low pH as a result of acid mine drainage, which is known to affect fish and invertebrate communities. Streams in the Black Hills of South Dakota are generally circumneutral in pH, yet select streams exhibit high iron concentrations associated with natural iron deposits. In this study, we examined relationships among iron concentration, priphyton biomass, macroinvertebrate abundance, and fish assemblages in four Black Hills streams. The stream with the highest iron concentration (~5 mg Fe/L) had reduced periphyton biomass, invertebrate abundance, and fish biomass compared to the three  streams with lower iron levels (0.1 to 0.6 mg Fe/L). Reduced stream productivity was attributed to indirect effects of ferric iron Fe<sup>+++</sup>), owing to iron-hydroxide precipitation that influenced habitat quality (i.e., substrate and turbidity) and food availability (periphyton and invertebrates) for higher trophic levels (e.g., fish). Additionally, reduced primary and secondary production was associated with reduced standing stocks of salmonid fishes. Our findings suggested that naturally occurring iron deposits may constrain macroinvertebrate and fish production.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Prairie Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Hayer, C.A., Holcomb, B.M., and Chipps, S.R., 2013, Associations between iron concentration and productivity in montane streams of the Black Hills, South Dakota: The Prairie Naturalist, v. 45, no. 3, p. 68-76.","productDescription":"9 p.","startPage":"68","endPage":"76","ipdsId":"IP-052600","costCenters":[],"links":[{"id":288064,"type":{"id":11,"text":"Document"},"url":"https://www.sdstate.edu/nrm/organizations/gpnss/tpn/upload/68-76-Hayer.pdf"},{"id":288065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Black Hills","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.7945,43.2665 ], [ -104.7945,44.7866 ], [ -102.7523,44.7866 ], [ -102.7523,43.2665 ], [ -104.7945,43.2665 ] ] ] } } ] }","volume":"45","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53903fe5e4b04eea98bf84f4","contributors":{"authors":[{"text":"Hayer, Cari Ann","contributorId":43673,"corporation":false,"usgs":true,"family":"Hayer","given":"Cari","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":486337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holcomb, Benjamin M.","contributorId":53700,"corporation":false,"usgs":true,"family":"Holcomb","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":486336,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70073692,"text":"70073692 - 2013 - Comment on “Historical perspective on seismic hazard to Hispaniola and the northeast Caribbean region” by U. ten Brink et al.","interactions":[],"lastModifiedDate":"2017-05-18T11:17:31","indexId":"70073692","displayToPublicDate":"2014-01-22T10:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Comment on “Historical perspective on seismic hazard to Hispaniola and the northeast Caribbean region” by U. ten Brink et al.","docAbstract":"<p>The analysis of historical earthquakes in the northeastern Caribbean by ten Brink <i>et al.</i> [2011, hereafter TB11] addresses the occurrence of large and destructive historical earthquakes associated with the North American-Caribbean plate boundary. One conclusion presented in TB11 is that the recurrence interval for large earthquakes on the left-lateral, strike-slip Septentrional Fault (SF) (Figure 1a) is approximately 300 years. Their Figure 7 shows rupture of the SF across the entire island of Hispaniola in CE 1200, 1542, and 1842. Our comment challenges this model for SF earthquake recurrence because it is inconsistent with our published paleoseismic data that show no large historical earthquake is associated with surface rupture along the SF east of Santiago (Figure 1a)[Prentice et al., 1993; Mann et al., 1998; Prentice et al., 2003].</p>","language":"English","publisher":"Wiley","doi":"10.1002/jgrb.50170","usgsCitation":"Prentice, C.S., Mann, P., and Pena, L.R., 2013, Comment on “Historical perspective on seismic hazard to Hispaniola and the northeast Caribbean region” by U. ten Brink et al.: Journal of Geophysical Research B: Solid Earth, v. 118, no. 4, p. 1602-1605, https://doi.org/10.1002/jgrb.50170.","productDescription":"4 p.","startPage":"1602","endPage":"1605","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038092","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":281363,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Dominican Republic, Haiti","otherGeospatial":"Hispaniola","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.5083,17.5817 ], [ -74.5083,20.1244 ], [ -68.2763,20.1244 ], [ -68.2763,17.5817 ], [ -74.5083,17.5817 ] ] ] } } ] }","volume":"118","issue":"4","publicComments":"Comment on: ten Brink, U.S., W.H. Bakun, and C.H. Flores (2011), Historical perspective on seismic hazard to Hispaniola and the NE Caribbean, J. Geophys.Res., 116, B12318, doi:10.1029/2011JB008497.","noUsgsAuthors":false,"publicationDate":"2013-04-25","publicationStatus":"PW","scienceBaseUri":"54dd2b60e4b08de9379b3353","contributors":{"authors":[{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":489043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mann, Paul","contributorId":57729,"corporation":false,"usgs":true,"family":"Mann","given":"Paul","email":"","affiliations":[],"preferred":false,"id":489044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pena, Luis R.","contributorId":72705,"corporation":false,"usgs":true,"family":"Pena","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":489045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70072582,"text":"sim3282 - 2013 - Bathymetric map, area/capacity table, and sediment volume estimate for Millwood Lake near Ashdown, Arkansas, 2013","interactions":[],"lastModifiedDate":"2014-01-21T14:48:23","indexId":"sim3282","displayToPublicDate":"2014-01-21T14:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3282","title":"Bathymetric map, area/capacity table, and sediment volume estimate for Millwood Lake near Ashdown, Arkansas, 2013","docAbstract":"Millwood Lake, in southwestern Arkansas, was constructed and is operated by the U.S. Army Corps of Engineers (USACE) for flood-risk reduction, water supply, and recreation. The lake was completed in 1966 and it is likely that with time sedimentation has resulted in the reduction of storage capacity of the lake. The loss of storage capacity can cause less water to be available for water supply, and lessens the ability of the lake to mitigate flooding. Excessive sediment accumulation also can cause a reduction in aquatic habitat in some areas of the lake. Although many lakes operated by the USACE have periodic bathymetric and sediment surveys, none have been completed for Millwood Lake. In March 2013, the U.S. Geological Survey (USGS), in cooperation with the USACE, surveyed the bathymetry of Millwood Lake to prepare an updated bathymetric map and area/capacity table. The USGS also collected sediment thickness data in June 2013 to estimate the volume of sediment accumulated in the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3282","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers","usgsCitation":"Richards, J.M., and Green, W.R., 2013, Bathymetric map, area/capacity table, and sediment volume estimate for Millwood Lake near Ashdown, Arkansas, 2013: U.S. Geological Survey Scientific Investigations Map 3282, Map: 36 x 34 inches, https://doi.org/10.3133/sim3282.","productDescription":"Map: 36 x 34 inches","onlineOnly":"Y","ipdsId":"IP-051522","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":281342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3282.jpg"},{"id":281339,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3282/"},{"id":281340,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3282/pdf/sim3282.pdf"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Arkansas","otherGeospatial":"Millwood Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.209553,33.649381 ], [ -94.209553,33.848867 ], [ -93.899514,33.848867 ], [ -93.899514,33.649381 ], [ -94.209553,33.649381 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4eefe4b0b290850f264b","contributors":{"authors":[{"text":"Richards, Joseph M. 0000-0002-9822-2706 richards@usgs.gov","orcid":"https://orcid.org/0000-0002-9822-2706","contributorId":2370,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph","email":"richards@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":488503,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70055685,"text":"ofr20131262 - 2013 - Technical evaluation of a total maximum daily load model for Upper Klamath and Agency Lakes, Oregon","interactions":[],"lastModifiedDate":"2014-01-21T13:40:33","indexId":"ofr20131262","displayToPublicDate":"2014-01-21T13:30:00","publicationYear":"2013","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":"2013-1262","title":"Technical evaluation of a total maximum daily load model for Upper Klamath and Agency Lakes, Oregon","docAbstract":"<p>We reviewed a mass balance model developed in 2001 that guided establishment of the phosphorus total maximum daily load (TMDL) for Upper Klamath and Agency Lakes, Oregon. The purpose of the review was to evaluate the strengths and weaknesses of the model and to determine whether improvements could be made using information derived from studies since the model was first developed. The new data have contributed to the understanding of processes in the lakes, particularly internal loading of phosphorus from sediment, and include measurements of diffusive fluxes of phosphorus from the bottom sediments, groundwater advection, desorption from iron oxides at high pH in a laboratory setting, and estimates of fluxes of phosphorus bound to iron and aluminum oxides. None of these processes in isolation, however, is large enough to account for the episodically high values of whole-lake internal loading calculated from a mass balance, which can range from 10 to 20 milligrams per square meter per day for short periods.</p>\n<br/>\n<p>The possible role of benthic invertebrates in lake sediments in the internal loading of phosphorus in the lake has become apparent since the development of the TMDL model. Benthic invertebrates can increase diffusive fluxes several-fold through bioturbation and biodiffusion, and, if the invertebrates are bottom feeders, they can recycle phosphorus to the water column through metabolic excretion. These organisms have high densities (1,822–62,178 individuals per square meter) in Upper Klamath Lake. Conversion of the mean density of tubificid worms (Oligochaeta) and chironomid midges (Diptera), two of the dominant taxa, to an areal flux rate based on laboratory measurements of metabolic excretion of two abundant species suggested that excretion by benthic invertebrates is at least as important as any of the other identified processes for internal loading to the water column.</p>\n<br/>\n<p>Data from sediment cores collected around Upper Klamath Lake since the development of the TMDL model also contributed to this review. Cores were sequentially extracted to determine the distribution of phosphorus associated with several matrices in the sediment (freely exchangeable, metal-oxides, acid-soluble minerals, and residual). The concentrations of phosphorus in these fractions varied around the lake in patterns that reflect transport processes in the lake and the ultimate deposition of organic and inorganic forms of phosphorus from the water column. Both organic and inorganic phosphorus had higher concentrations in the northern part of the lake, in and just west of Goose Bay. At the time that these cores were collected, prior to restoration of the Williamson River Delta, this area was close to the shoreline of the lake and east of the Williamson River mouth. This contrasts with erosional inputs, which, in addition to being high to the east of the pre-restoration Williamson River mouth, were higher in the middle of the lake than at the northern end. Organic forms of phosphorus had particularly high concentrations in the northern bays. When these cores were used to calculate a new estimate of the whole-lake-averaged concentration of total phosphorus in the top 10 centimeters of the lake sediments, the estimate was about one-third of the best estimate available when the TMDL model was developed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131262","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Wood, T.M., Wherry, S., Carter, J.L., Kuwabara, J.S., Simon, N.S., and Rounds, S.A., 2013, Technical evaluation of a total maximum daily load model for Upper Klamath and Agency Lakes, Oregon: U.S. Geological Survey Open-File Report 2013-1262, vi, 75 p., https://doi.org/10.3133/ofr20131262.","productDescription":"vi, 75 p.","numberOfPages":"84","onlineOnly":"Y","ipdsId":"IP-037641","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":281330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131262.GIF"},{"id":281328,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1262/"},{"id":281329,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1262/pdf/ofr2013-1262.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1927","country":"United States","state":"Oregon","otherGeospatial":"Agency Lake;Goose Bay;Upper Klamath Lake;Williamson River;Williamson River Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.197797,42.082902 ], [ -122.197797,42.650173 ], [ -121.577757,42.650173 ], [ -121.577757,42.082902 ], [ -122.197797,42.082902 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7657e4b0b2908510ad44","contributors":{"authors":[{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wherry, Susan A.","contributorId":79403,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan A.","affiliations":[],"preferred":false,"id":486208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":486206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":486207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simon, Nancy S. 0000-0003-2706-7611 nssimon@usgs.gov","orcid":"https://orcid.org/0000-0003-2706-7611","contributorId":838,"corporation":false,"usgs":true,"family":"Simon","given":"Nancy","email":"nssimon@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":486203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486204,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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,{"id":70073686,"text":"70073686 - 2013 - Experimental evidence for evolved tolerance to avian malaria in a wild population of low elevation Hawai`i `Amakihi (<i>Hemignathus virens</i>)","interactions":[],"lastModifiedDate":"2014-03-14T10:22:56","indexId":"70073686","displayToPublicDate":"2014-01-20T15:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Experimental evidence for evolved tolerance to avian malaria in a wild population of low elevation Hawai`i `Amakihi (<i>Hemignathus virens</i>)","docAbstract":"Introduced vector-borne diseases, particularly avian malaria (<i>Plasmodium relictum</i>) and avian pox virus (<i>Avipoxvirus</i> spp.), continue to play significant roles in the decline and extinction of native forest birds in the Hawaiian Islands. Hawaiian honeycreepers are particularly susceptible to avian malaria and have survived into this century largely because of persistence of high elevation refugia on Kaua‘i, Maui, and Hawai‘i Islands, where transmission is limited by cool temperatures. The long term stability of these refugia is increasingly threatened by warming trends associated with global climate change. Since cost effective and practical methods of vector control in many of these remote, rugged areas are lacking, adaptation through processes of natural selection may be the best long-term hope for recovery of many of these species. We document emergence of tolerance rather than resistance to avian malaria in a recent, rapidly expanding low elevation population of Hawai‘i ‘Amakihi (<i>Hemignathus virens</i>) on the island of Hawai‘i. Experimentally infected low elevation birds had lower mortality, lower reticulocyte counts during recovery from acute infection, lower weight loss, and no declines in food consumption relative to experimentally infected high elevation Hawai‘i ‘Amakihi in spite of similar intensities of infection. Emergence of this population provides an exceptional opportunity for determining physiological mechanisms and genetic markers associated with malaria tolerance that can be used to evaluate whether other, more threatened species have the capacity to adapt to this disease.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"EcoHealth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10393-013-0899-2","usgsCitation":"Atkinson, C.T., Saili, K.S., Utzurrum, R.B., and Jarvi, S.I., 2013, Experimental evidence for evolved tolerance to avian malaria in a wild population of low elevation Hawai`i `Amakihi (<i>Hemignathus virens</i>): EcoHealth, v. 10, no. 4, p. 366-375, https://doi.org/10.1007/s10393-013-0899-2.","productDescription":"10 p.","startPage":"366","endPage":"375","numberOfPages":"10","ipdsId":"IP-053345","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":281349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281347,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10393-013-0899-2"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.1465,18.9108 ], [ -156.1465,20.4068 ], [ -154.8068,20.4068 ], [ -154.8068,18.9108 ], [ -156.1465,18.9108 ] ] ] } } ] }","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-01-16","publicationStatus":"PW","scienceBaseUri":"53517038e4b05569d805a1f9","contributors":{"authors":[{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":489039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saili, Katerine S.","contributorId":59719,"corporation":false,"usgs":true,"family":"Saili","given":"Katerine","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":489041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Utzurrum, Ruth B.","contributorId":86260,"corporation":false,"usgs":true,"family":"Utzurrum","given":"Ruth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":489042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarvi, Susan I.","contributorId":47748,"corporation":false,"usgs":true,"family":"Jarvi","given":"Susan","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":489040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70055869,"text":"sir20135211 - 2013 - Real-time piscicide tracking using Rhodamine WT dye for support of application, transport, and deactivation strategies in riverine environments","interactions":[],"lastModifiedDate":"2014-01-24T11:27:16","indexId":"sir20135211","displayToPublicDate":"2014-01-20T08:43:00","publicationYear":"2013","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":"2013-5211","title":"Real-time piscicide tracking using Rhodamine WT dye for support of application, transport, and deactivation strategies in riverine environments","docAbstract":"Piscicide applications in riverine environments are complicated by the advection and dispersion of the piscicide by the flowing water. Proper deactivation of the fish toxin is required outside of the treatment reach to ensure that there is minimal collateral damage to fisheries downstream or in connecting and adjacent water bodies. In urban settings and highly managed waterways, further complications arise from the influence of industrial intakes and outfalls, stormwater outfalls, lock and dam operations, and general unsteady flow conditions. These complications affect the local hydrodynamics and ultimately the transport and fate of the piscicide. This report presents two techniques using Rhodamine WT dye for real-time tracking of a piscicide plume—or any passive contaminant—in rivers and waterways in natural and urban settings. Passive contaminants are those that are present in such low concentration that there is no effect (such as buoyancy) on the fluid dynamics of the receiving water body. These methods, when combined with data logging and archiving, allow for visualization and documentation of the application and deactivation process.\n\nReal-time tracking and documentation of rotenone applications in rivers and urban waterways was accomplished by encasing the rotenone plume in a plume of Rhodamine WT dye and using vessel-mounted submersible fluorometers together with acoustic Doppler current profilers (ADCP) and global positioning system (GPS) receivers to track the dye and map the water currents responsible for advection and dispersion. In this study, two methods were used to track rotenone plumes: (1) simultaneous injection of dye with rotenone and (2) delineation of the upstream and downstream boundaries of the treatment zone with dye. All data were logged and displayed on a shipboard laptop computer, so that survey personnel provided real-time feedback about the extent of the rotenone plume to rotenone application and deactivation personnel. Further, these strategies facilitate adjustment of rotenone application and deactivation strategies in real time if necessary based on the observed advection and dispersion of the rotenone plume.\n\nTwo large-scale and complex applications of rotenone in the Chicago Area Waterway System (CAWS) in 2009 and 2010 to combat invasive Asian carp are documented in this report. The application in Chicago Sanitary and Ship Canal (CSSC) in December 2009 involved more than 1,800 gallons of rotenone injected at multiple stations through a 6.2-mile reach of the canal near Lockport, Illinois. The rotenone plume was encased in Rhodamine WT dye so that two survey boats provided real-time feedback to shore personnel regarding the plume extent as it advected downstream. Real-time tracking of the rotenone was essential in this large-scale application because of the multistage injection strategy and the numerous deactivation points required to minimize collateral damage to fisheries in surrounding and receiving water bodies. All timing of application and deactivation operations relied on dye tracking. A second application of rotenone in May 2010 to the Little Calumet River near O’Brien Lock and Dam (Illinois) provided another opportunity for dye-tracking support operations; however, application and deactivation strategies were designed considering zero-flow conditions within the reach of interest. Therefore, dye was injected at the upstream and downstream boundaries of the rotenone application reach and was used to track movement of water in and out of a treatment reach, allowing proper deactivation to occur and avoiding unnecessary damage to fisheries downstream. The data collected during the real-time tracking operations for both applications allowed full documentation of the rotenone treatment for archival purposes and provided information for future applications. \nThe methods presented in this report for real-time tracking\nand documentation of piscicide applications in riverine environments worked exceptionally well and allowed the multiagency\nAsian Carp Rapid Response Workgroup to carry out large-scale\nrotenone applications in urban waterways in an environmentally\nresponsible manner with minimal collateral damage to fisheries\noutside the treatment reach. Traveltime information extracted\nfrom the boat-mounted and fixed-position fluorometers agrees\nwell with empirical predictions from a preliminary dye study\n(mock rotenone injection) on this system completed in November 2009 on the CSSC and with previously published methods for estimating traveltimes of the peak, leading edge, and trailing\nedge of the plume. Although the rotenone application strategy\ncalled for zero-flow conditions on the Little Calumet River in\n2010, downstream advection of treated water did occur, and dye\ntracing combined with velocity mapping allowed this advection\nto be documented and exposed the unique hydrodynamics and\nmixing within this reach.\nThe large volumes of data collected during the operations\nallow documentation and visualization of the rotenone applications, thus providing feedback to planners and archival of the\ntreatments for future reference. The methods developed in this\nreport are directly transferrable to piscicide applications in water\nbodies in other locations, including rivers, ponds, or lakes, and\ncan be used for real-time tracking of any passive contaminant\nthat may enter a water body.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135211","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Jackson, P.R., and Lageman, J.D., 2013, Real-time piscicide tracking using Rhodamine WT dye for support of application, transport, and deactivation strategies in riverine environments: U.S. Geological Survey Scientific Investigations Report 2013-5211, vii, 43, https://doi.org/10.3133/sir20135211.","productDescription":"vii, 43","numberOfPages":"50","ipdsId":"IP-045568","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":281146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135211.jpg"},{"id":281144,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5211/"},{"id":281145,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5211/pdf/sir2013-5211.pdf"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago Area Waterway System","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.25,41.5 ], [ -89.25,42.25 ], [ -87.5,42.25 ], [ -87.5,41.5 ], [ -89.25,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6f47e4b0b290851064ec","contributors":{"authors":[{"text":"Jackson, Patrick Ryan","contributorId":34043,"corporation":false,"usgs":true,"family":"Jackson","given":"Patrick","email":"","middleInitial":"Ryan","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":486269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lageman, Jonathan D. jlageman@usgs.gov","contributorId":1910,"corporation":false,"usgs":true,"family":"Lageman","given":"Jonathan","email":"jlageman@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":486268,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70049064,"text":"ofr20131257 - 2013 - Geologic assessment of undiscovered oil and gas resources: Oligocene Frio and Anahuac Formations, United States Gulf of Mexico coastal plain and State waters","interactions":[],"lastModifiedDate":"2014-01-16T08:34:03","indexId":"ofr20131257","displayToPublicDate":"2014-01-16T08:19:00","publicationYear":"2013","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":"2013-1257","title":"Geologic assessment of undiscovered oil and gas resources: Oligocene Frio and Anahuac Formations, United States Gulf of Mexico coastal plain and State waters","docAbstract":"<p>The Oligocene Frio and Anahuac Formations were assessed as part of the 2007 U.S. Geological Survey (USGS) assessment of Tertiary strata of the U.S. Gulf of Mexico Basin onshore and State waters. The Frio Formation, which consists of sand-rich fluvio-deltaic systems, has been one of the largest hydrocarbon producers from the Paleogene in the Gulf of Mexico. The Anahuac Formation, an extensive transgressive marine shale overlying the Frio Formation, contains deltaic and slope sandstones in Louisiana and Texas and carbonate rocks in the eastern Gulf of Mexico. In downdip areas of the Frio and Anahuac Formations, traps associated with faulted, rollover anticlines are common. Structural traps commonly occur in combination with stratigraphic traps. Faulted salt domes in the Frio and Anahuac Formations are present in the Houston embayment of Texas and in south Louisiana. In the Frio Formation, stratigraphic traps are found in fluvial, deltaic, barrier-bar, shelf, and strandplain systems.</p>\n<br/>\n<p>The USGS Tertiary Assessment Team defined a single, Upper Jurassic-Cretaceous-Tertiary Composite Total Petroleum System (TPS) for the Gulf Coast basin, based on previous studies and geochemical analysis of oils in the Gulf Coast basin. The primary source rocks for oil and gas within Cenozoic petroleum systems, including Frio Formation reservoirs, in the northern, onshore Gulf Coastal region consist of coal and shale rich in organic matter within the Wilcox Group (Paleocene–Eocene), with some contributions from the Sparta Sand of the Claiborne Group (Eocene). The Jurassic Smackover Formation and Cretaceous Eagle Ford Formation also may have contributed substantial petroleum to Cenozoic reservoirs. Modeling studies of thermal maturity by the USGS Tertiary Assessment Team indicate that downdip portions of the basal Wilcox Group reached sufficient thermal maturity to generate hydrocarbons by early Eocene; this early maturation is the result of rapid sediment accumulation in the early Tertiary, combined with the reaction kinetic parameters used in the models. A number of studies indicate that the migration of oil and gas in the Cenozoic Gulf of Mexico basin is primarily vertical, occurring along abundant growth faults associated with sediment deposition or along faults associated with salt domes.</p>\n<br/>\n<p>The USGS Tertiary assessment team developed a geologic model based on recurring regional-scale structural and depositional features in Paleogene strata to define assessment units (AUs). Three general areas, as described in the model, are found in each of the Paleogene stratigraphic intervals assessed: “Stable Shelf,” “Expanded Fault,” and “Slope and Basin Floor” zones. On the basis of this model, three AUs for the Frio Formation were defined: (1) the Frio Stable Shelf Oil and Gas AU, containing reservoirs with a mean depth of about 4,800 feet in normally pressured intervals; (2) the Frio Expanded Fault Zone Oil and Gas AU, containing reservoirs with a mean depth of about 9,000 feet in primarily overpressured intervals; and (3) the Frio Slope and Basin Floor Gas AU, which currently has no production but has potential for deep gas resources (>15,000 feet). AUs also were defined for the Hackberry trend, which consists of a slope facies stratigraphically in the middle part of the Frio Formation, and the Anahuac Formation. The Frio Basin Margin AU, an assessment unit extending to the outcrop of the Frio (or basal Miocene), was not quantitatively assessed because of its low potential for production. Two proprietary, commercially available databases containing field and well production information were used in the assessment. Estimates of undiscovered resources for the five AUs were based on a total of 1,734 reservoirs and 586,500 wells producing from the Frio and Anahuac Formations. Estimated total mean values of technically recoverable, undiscovered resources are 172 million barrels of oil (MMBO), 9.4 trillion cubic feet of natural gas (TCFG), and 542 million barrels of natural gas liquids for all of the Frio and Anahuac AUs. Of the five units assessed, the Frio Slope and Basin Floor Gas AU has the greatest potential for undiscovered gas resources, having an estimated mean of 5.6 TCFG. The Hackberry Oil and Gas AU shows the second highest potential for gas of the five units assessed, having an estimated mean of 1.8 TCFG. The largest undiscovered, conventional crude oil resource was estimated for the Frio Slope and Basin Floor Gas AU; the estimated mean for oil in this AU is 110 MMBO.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131257","usgsCitation":"Swanson, S.M., Karlsen, A.W., and Valentine, B.J., 2013, Geologic assessment of undiscovered oil and gas resources: Oligocene Frio and Anahuac Formations, United States Gulf of Mexico coastal plain and State waters: U.S. Geological Survey Open-File Report 2013-1257, Report: viii, 66 p.; Appendix 1: 10 p., https://doi.org/10.3133/ofr20131257.","productDescription":"Report: viii, 66 p.; Appendix 1: 10 p.","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051257","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":281142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131257.jpg"},{"id":281139,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1257/"},{"id":281140,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1257/pdf/of2013-1257.pdf"},{"id":281141,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1257/pdf/ofr2013-1257_appendix1_input_data.pdf"}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","country":"United States","state":"Louisiana;Texas","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101.0,24.84 ], [ -101.0,33.0 ], [ -88.5,33.0 ], [ -88.5,24.84 ], [ -101.0,24.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d8ff61e4b08fdd528145fd","contributors":{"authors":[{"text":"Swanson, Sharon M. 0000-0002-4235-1736 smswanson@usgs.gov","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":590,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","email":"smswanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":486096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlsen, Alexander W.","contributorId":105382,"corporation":false,"usgs":true,"family":"Karlsen","given":"Alexander","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":486098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","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":486097,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048977,"text":"sir20135109 - 2013 - Stratigraphy and paleogeographic significance of the Pennsylvanian-Permian Bird Spring Formation in the Ship Mountains, southeastern California","interactions":[],"lastModifiedDate":"2023-05-26T15:58:03.421844","indexId":"sir20135109","displayToPublicDate":"2014-01-15T13:56:00","publicationYear":"2013","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":"2013-5109","title":"Stratigraphy and paleogeographic significance of the Pennsylvanian-Permian Bird Spring Formation in the Ship Mountains, southeastern California","docAbstract":"<p>A thick sequence of limestone, dolomite, and minor sandstone assigned to the Pennsylvanian and lower Permian Bird Spring Formation is exposed in the Ship Mountains about 85 kilometers (km) southwest of Needles, California, in the eastern Mojave Desert. These strata provide a valuable reference section of the Bird Spring Formation in a region where rocks of this age are not extensively exposed. This section, which is about 900 meters (m) thick, is divided into five informal members.</p>\n<br/>\n<p>Strata of the Bird Spring Formation in the Ship Mountains originated as shallow-water marine deposits on the broad, southwest-trending continental shelf of western North America. Perpendicular to the shelf, the paleogeographic position of the Ship Mountains section is intermediate between those of the thicker, less terrigenous, more seaward section of the Bird Spring Formation in the Providence Mountains, 55 km to the northwest, and the thinner, more terrigenous, more landward sections of the Supai Group near Blythe, 100 km to the southeast. Parallel to the shelf, the Ship Mountains section is comparable in lithofacies and inferred paleogeographic position to sections assigned to the Callville Limestone and overlying Pakoon Limestone in northwestern Arizona and southeastern Nevada, 250 km to the northeast.</p>\n<br/>\n<p>Deposition of the Bird Spring Formation followed a major rise in eustatic sea level at about the Mississippian- Pennsylvanian boundary. The subsequent depositional history was controlled by episodic changes in eustatic sea level, shelf subsidence rates, and sediment supply. Subsidence rates could have been influenced by coeval continental-margin tectonism to the northwest.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135109","usgsCitation":"Stone, P., Stevens, C., Howard, K.A., and Hoisch, T.D., 2013, Stratigraphy and paleogeographic significance of the Pennsylvanian-Permian Bird Spring Formation in the Ship Mountains, southeastern California: U.S. Geological Survey Scientific Investigations Report 2013-5109, Report: iv, 40 p.; Plate 1: 24 x 36 inches, https://doi.org/10.3133/sir20135109.","productDescription":"Report: iv, 40 p.; Plate 1: 24 x 36 inches","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042090","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":281111,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135109.jpg"},{"id":281110,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5109/pdf/sir2013-5109_plate1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":281108,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5109/","linkFileType":{"id":5,"text":"html"}},{"id":281109,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5109/pdf/sir2013-5109.pdf"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Mojave Desert, Providence Mountains, Ship Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.4935,33.4269 ], [ -116.4935,37.0026 ], [ -112.9944,37.0026 ], [ -112.9944,33.4269 ], [ -116.4935,33.4269 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d7af5ae4b0f10664b99fc4","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":485913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":485915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Keith A. 0000-0002-6462-2947 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":3439,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":485914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoisch, Thomas D.","contributorId":61337,"corporation":false,"usgs":true,"family":"Hoisch","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485916,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70059127,"text":"ofr20131270 - 2013 - Hurricane Isaac: observations and analysis of coastal change","interactions":[],"lastModifiedDate":"2014-01-14T16:17:00","indexId":"ofr20131270","displayToPublicDate":"2014-01-14T16:05:00","publicationYear":"2013","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":"2013-1270","title":"Hurricane Isaac: observations and analysis of coastal change","docAbstract":"<p>Understanding storm-induced coastal change and forecasting these changes require knowledge of the physical processes associated with a storm and the geomorphology of the impacted coastline. The primary physical process of interest is sediment transport that is driven by waves, currents, and storm surge associated with storms. Storm surge, which is the rise in water level due to the wind, barometric pressure, and other factors, allows both waves and currents to impact parts of the coast not normally exposed to these processes.</p>\n<br/>\n<p>Coastal geomorphology reflects the coastal changes associated with extreme-storm processes. Relevant geomorphic variables that are observable before and after storms include sand dune elevation, beach width, shoreline position, sediment grain size, and foreshore beach slope. These variables, in addition to hydrodynamic processes, can be used to quantify coastal change and are used to predict coastal vulnerability to storms (Stockdon and others, 2007).</p>\n<br/>\n<p>The U.S. Geological Survey (USGS) National Assessment of Coastal Change Hazards (NACCH) project (<a href=\"http://coastal.er.usgs.gov/national-assessment/\" target=\"_blank\">http://coastal.er.usgs.gov/national-assessment/</a>) provides hazard information to those concerned about the Nation’s coastlines, including residents of coastal areas, government agencies responsible for coastal management, and coastal researchers. Extreme-storm research is a component of the NACCH project (<a href=\"http://coastal.er.usgs.gov/hurricanes/\" target=\"_blank\">http://coastal.er.usgs.gov/hurricanes/</a>) that includes development of predictive understanding, vulnerability assessments using models, and updated observations in response to specific storm events. In particular, observations were made to determine morphological changes associated with Hurricane Isaac, which made landfall in the United States first at Southwest Pass, at the mouth of the Mississippi River, at 0000 August 29, 2012 UTC (Coordinated Universal Time) and again, 8 hours later, west of Port Fourchon, Louisiana (Berg, 2013). Methods of observation included oblique aerial photography, airborne light detection and ranging (lidar) topographic surveys, and ground-based topographic surveys. This report documents data-collection efforts and presents qualitative and quantitative descriptions of hurricane-induced changes to the shoreline, beaches, dunes, and infrastructure in the region that was heavily impacted by Hurricane Isaac.</p>\n<br/>\n<p>The report is divided into the following sections:</p>\n<ul>\n<li>Section 1: Introduction</li>\n\n<li>Section 2: Storm Overview, presents a synopsis of the storm, including meteorological evolution, wind speed impact area, wind-wave generation, and storm-surge extent and magnitudes.</li>\n\n<li>Section 3: Coastal-Change Observations, describes data-collection missions, including acquisition of oblique aerial photography and airborne lidar topographic surveys, in response to Hurricane Isaac.</li>\n\n<li>Section 4: Coastal-Change Analysis, describes data-analysis methods and observations of coastal change.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131270","usgsCitation":"Guy, K.K., Stockdon, H.F., Plant, N.G., Doran, K., and Morgan, K., 2013, Hurricane Isaac: observations and analysis of coastal change: U.S. Geological Survey Open-File Report 2013-1270, vi, 21 p., https://doi.org/10.3133/ofr20131270.","productDescription":"vi, 21 p.","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-050671","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":281060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131270.jpg"},{"id":281057,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1270/"},{"id":281058,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1270/pdf/of2013-1270.pdf"}],"country":"Cuba;Haiti;United States","otherGeospatial":"Atlantic Ocean;Caribbean Sea;Gulf Of Mexico;Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.86,11.44 ], [ -96.86,41.18 ], [ -39.99,41.18 ], [ -39.99,11.44 ], [ -96.86,11.44 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d65d75e4b0b566e996b353","contributors":{"authors":[{"text":"Guy, Kristy K. kguy@usgs.gov","contributorId":45010,"corporation":false,"usgs":true,"family":"Guy","given":"Kristy","email":"kguy@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":false,"id":487473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":487470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":487472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":2496,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","email":"kdoran@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":487471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morgan, Karen L.M. 0000-0002-2994-5572","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":95553,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L.M.","affiliations":[],"preferred":false,"id":487474,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70068530,"text":"ofr20131306 - 2013 - Geologic map of Oldonyo Lengai (Oldoinyo Lengai) Volcano and surroundings, Arusha Region, United Republic of Tanzania","interactions":[],"lastModifiedDate":"2014-01-30T10:22:20","indexId":"ofr20131306","displayToPublicDate":"2014-01-10T08:25:00","publicationYear":"2013","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":"2013-1306","title":"Geologic map of Oldonyo Lengai (Oldoinyo Lengai) Volcano and surroundings, Arusha Region, United Republic of Tanzania","docAbstract":"<p>The geology of Oldonyo Lengai volcano and the southernmost Lake Natron basin, Tanzania, is presented on this geologic map at scale 1:50,000. The map sheet can be downloaded in pdf format for online viewing or ready to print (48 inches by 36 inches).</p>\n<br/>\n<p>A 65-page explanatory pamphlet describes the geologic history of the area. Its goal is to place the new findings into the framework of previous investigations while highlighting gaps in knowledge. In this way questions are raised and challenges proposed to future workers.</p>\n<br/>\n<p>The southernmost Lake Natron basin is located along the East African rift zone in northern Tanzania. Exposed strata provide a history of volcanism, sedimentation, and faulting that spans 2 million years. It is here where Oldonyo Lengai, Tanzania’s most active volcano of the past several thousand years, built its edifice. Six new radiometric ages, by the <sup>40</sup>Ar/<sup>39</sup>Ar method, and 48 new geochemical analyses from Oldonyo Lengai and surrounding volcanic features deepen our understanding of the area.</p>\n<br/>\n<p>Those who prefer the convenience and access offered by Geographic Information Systems (GIS) may download an electronic database, suitable for most GIS software applications. The GIS database is in a Transverse Mercator projection, zone 36, New (1960) Arc datum. The database includes layers for hypsography (topography), hydrography, and infrastructure such as roads and trails.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131306","usgsCitation":"Sherrod, D.R., Magigita, M.M., and Kwelwa, S., 2013, Geologic map of Oldonyo Lengai (Oldoinyo Lengai) Volcano and surroundings, Arusha Region, United Republic of Tanzania: U.S. Geological Survey Open-File Report 2013-1306, Map: 47.99 x 35.98 inches; Pamphlet: v, 65 p.; GIS files; Metadata; Chemical Analyses, https://doi.org/10.3133/ofr20131306.","productDescription":"Map: 47.99 x 35.98 inches; Pamphlet: v, 65 p.; GIS files; Metadata; Chemical Analyses","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043114","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":280810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131306.jpg"},{"id":280806,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2013/1306/pdf/ofr2013-1306_pamphlet.pdf"},{"id":280807,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1306/downloads/ofr2013-1306_GIS.zip"},{"id":280808,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1306/downloads/ofr2013-1306_Metadata.zip"},{"id":280805,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1306/pdf/ofr2013-1306.pdf"},{"id":280809,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1306/downloads/ChemAnalyses_OldonyoLengai_20101221.xls"},{"id":280802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1306"}],"scale":"50000","projection":"Transverse Mercator projection","datum":"New (1960) Arc datum","country":"United Republic Of Tanzania","otherGeospatial":"Arusha Region;Lake Natron;Oldonyo Lengai Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 35.783333,-2.845 ], [ 35.783333,-2.5 ], [ 36.02005,-2.5 ], [ 36.02005,-2.845 ], [ 35.783333,-2.845 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52d11661e4b072eb3e0c4984","contributors":{"authors":[{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":488023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magigita, Masota M.","contributorId":53286,"corporation":false,"usgs":true,"family":"Magigita","given":"Masota","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":488024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwelwa, Shimba","contributorId":58180,"corporation":false,"usgs":true,"family":"Kwelwa","given":"Shimba","email":"","affiliations":[],"preferred":false,"id":488025,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70068458,"text":"70068458 - 2013 - A spatial age-structured model for describing sea lamprey (<i>Petromyzon marinus</i>) population dynamics","interactions":[],"lastModifiedDate":"2014-01-09T16:26:02","indexId":"70068458","displayToPublicDate":"2014-01-09T16:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A spatial age-structured model for describing sea lamprey (<i>Petromyzon marinus</i>) population dynamics","docAbstract":"The control of invasive sea lampreys (<i>Petromyzon marinus</i>) presents large scale management challenges in the Laurentian Great Lakes.  No modeling approach has been developed that describes spatial dynamics of lamprey populations.  We developed and validated a spatial and age-structured model and applied it to a sea lamprey population in a large river in the Great Lakes basin.  We considered 75 discrete spatial areas, included a stock-recruitment function, spatial recruitment patterns, natural mortality, chemical treatment mortality, and larval metamorphosis.  Recruitment was variable, and an upstream shift in recruitment location was observed over time.  From 1993–2011 recruitment, larval abundance, and the abundance of metamorphosing individuals decreased by 80, 84, and 86%, respectively.  The model successfully identified areas of high larval abundance and showed that areas of low larval density contribute significantly to the population.  Estimated treatment mortality was less than expected but had a large population-level impact.  The results and general approach of this work have applications for sea lamprey control throughout the Great Lakes and for the restoration and conservation of native lamprey species globally.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2012-0375","usgsCitation":"Robinson, J.M., Wilberg, M.J., Adams, J.V., and Jones, M., 2013, A spatial age-structured model for describing sea lamprey (<i>Petromyzon marinus</i>) population dynamics: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 12, p. 1709-1722, https://doi.org/10.1139/cjfas-2012-0375.","productDescription":"14 p.","startPage":"1709","endPage":"1722","numberOfPages":"14","ipdsId":"IP-050781","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280799,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2012-0375"}],"country":"Canada;United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.369893,46.320141 ], [ -84.369893,46.600157 ], [ -84.079914,46.600157 ], [ -84.079914,46.320141 ], [ -84.369893,46.320141 ] ] ] } } ] }","volume":"70","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52cfc563e4b07de2a9490b4b","contributors":{"authors":[{"text":"Robinson, Jason M.","contributorId":42866,"corporation":false,"usgs":true,"family":"Robinson","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":488015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilberg, Michael J.","contributorId":36494,"corporation":false,"usgs":true,"family":"Wilberg","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":488012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Michael L.","contributorId":7219,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":488013,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70067566,"text":"70067566 - 2013 - Comparison of select hematology and serum chemistry analtyes between wild-caught and aquarium-housed lake sturgeon (<i>Acipenser fulvescens</i>)","interactions":[],"lastModifiedDate":"2014-01-08T15:53:41","indexId":"70067566","displayToPublicDate":"2014-01-08T15:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2514,"text":"Journal of Zoo and Wildlife Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of select hematology and serum chemistry analtyes between wild-caught and aquarium-housed lake sturgeon (<i>Acipenser fulvescens</i>)","docAbstract":"Hematology and serum chemistry analytes were compared between wild-caught and aquarium-housed lake sturgeon (<i>Acipenser fulvescens</i>) to potentially improve understanding of medical issues in lake sturgeon. Blood samples were taken from 30 lake sturgeon exhibited in 11 institutions in the United States and from 23 experimentally stocked lake sturgeon caught in gill nets in the lower Genesee River in Rochester, New York, USA. For hematology, only segmented neutrophil count was significantly different, with wild-caught fish having a higher number of circulating neutrophils. For clinical chemistry analytes, chloride, uric acid, calcium, phosphate, glucose, aspartate aminotransferase, triglycerides, and creatine kinase were significantly different between the two cohorts. These differences are likely not clinically significant and are attributable to handling stress, variability in environmental parameters, or differences in nutritional status. This is the first report of hematology and serum chemistry values in aquarium-housed lake sturgeon and provides useful reference intervals for clinicians.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Zoo and Wildlife Medicine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association of Zoo Veterinarians","doi":"10.1638/2013-0024R.1","usgsCitation":"DiVincenti, L., Priest, H., Walker, K.J., Wyatt, J.D., and Dittman, D., 2013, Comparison of select hematology and serum chemistry analtyes between wild-caught and aquarium-housed lake sturgeon (<i>Acipenser fulvescens</i>): Journal of Zoo and Wildlife Medicine, v. 44, no. 4, p. 957-964, https://doi.org/10.1638/2013-0024R.1.","productDescription":"8 p.","startPage":"957","endPage":"964","numberOfPages":"8","ipdsId":"IP-049414","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280773,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1638/2013-0024R.1"}],"country":"United States","state":"New York","city":"Rochester","otherGeospatial":"Genesee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.701632,43.103302 ], [ -77.701632,43.269045 ], [ -77.531166,43.269045 ], [ -77.531166,43.103302 ], [ -77.701632,43.103302 ] ] ] } } ] }","volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52ce7362e4b073e0995b2dc7","contributors":{"authors":[{"text":"DiVincenti, Louis Jr.","contributorId":76638,"corporation":false,"usgs":true,"family":"DiVincenti","given":"Louis","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":487996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Priest, Heather","contributorId":80579,"corporation":false,"usgs":true,"family":"Priest","given":"Heather","email":"","affiliations":[],"preferred":false,"id":487997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Kyle J.","contributorId":102781,"corporation":false,"usgs":true,"family":"Walker","given":"Kyle","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wyatt, Jeffrey D.","contributorId":73102,"corporation":false,"usgs":true,"family":"Wyatt","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dittman, Dawn","contributorId":100734,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","affiliations":[],"preferred":false,"id":487998,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70058730,"text":"ofr20131291 - 2013 - Effect of simulated tree canopy removal on a municipal wellfield in the Puget Sound aquifer system, Thurston County, Washington","interactions":[],"lastModifiedDate":"2014-01-08T08:25:32","indexId":"ofr20131291","displayToPublicDate":"2014-01-08T14:08:00","publicationYear":"2013","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":"2013-1291","title":"Effect of simulated tree canopy removal on a municipal wellfield in the Puget Sound aquifer system, Thurston County, Washington","docAbstract":"Effects of tree canopy removal on a wellfield were simulated using a groundwater flow model characteristic of hydrogeologic settings in the Puget Sound aquifer system. Effects were estimated according to simulated changes in flow patterns that may result from tree canopy removal associated with varying degrees of residential development. The flow model used was a modified version of a model of the hydrogeologic setting in Thurston County, Washington; the wellfield was one planned for Olympia, Washington, and the canopy modifications spanned a range of possible land use change scenarios. The relative effects of tree canopy removal were estimated in terms of potential changes in capture zones for the wellfield and groundwater levels. Because of the depth of the wellfield and the dispersal of the effects from changes in recharge at ground surface, potential changes in wellfield capture zones and groundwater levels were discernible but small compared to other possible influences.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131291","collaboration":"Prepared in cooperation with the Washington State Department of Natural Resources and the City of Olympia","usgsCitation":"Johnson, K.H., 2013, Effect of simulated tree canopy removal on a municipal wellfield in the Puget Sound aquifer system, Thurston County, Washington: U.S. Geological Survey Open-File Report 2013-1291, vi, 32 p., https://doi.org/10.3133/ofr20131291.","productDescription":"vi, 32 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-051903","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":280383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131291.PNG"},{"id":280382,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1291/pdf/ofr2013-1291.pdf"},{"id":280381,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1291/"}],"scale":"24000","projection":"Lambert Conformal Conic Projection","datum":"North American Datum 1983","country":"United States","state":"Washington","county":"Thurston County","city":"Olympia","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.956238,46.779609 ], [ -122.956238,47.250805 ], [ -122.399368,47.250805 ], [ -122.399368,46.779609 ], [ -122.956238,46.779609 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52ce747ce4b073e0995b2dcf","contributors":{"authors":[{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487306,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047656,"text":"70047656 - 2013 - Correcting length-frequency distributions for imperfect detection","interactions":[],"lastModifiedDate":"2014-01-08T14:04:05","indexId":"70047656","displayToPublicDate":"2014-01-08T13:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Correcting length-frequency distributions for imperfect detection","docAbstract":"Sampling gear selects for specific sizes of fish, which may bias length-frequency distributions that are commonly used to assess population size structure, recruitment patterns, growth, and survival. To properly correct for sampling biases caused by gear and other sources, length-frequency distributions need to be corrected for imperfect detection. We describe a method for adjusting length-frequency distributions when capture and recapture probabilities are a function of fish length, temporal variation, and capture history. The method is applied to a study involving the removal of Smallmouth Bass <i>Micropterus dolomieu</i> by boat electrofishing from a 38.6-km reach on the Yampa River, Colorado. Smallmouth Bass longer than 100 mm were marked and released alive from 2005 to 2010 on one or more electrofishing passes and removed on all other passes from the population. Using the Huggins mark–recapture model, we detected a significant effect of fish total length, previous capture history (behavior), year, pass, year×behavior, and year×pass on capture and recapture probabilities. We demonstrate how to partition the Huggins estimate of abundance into length frequencies to correct for these effects. Uncorrected length frequencies of fish removed from Little Yampa Canyon were negatively biased in every year by as much as 88% relative to mark–recapture estimates for the smallest length-class in our analysis (100–110 mm). Bias declined but remained high even for adult length-classes (≥200 mm). The pattern of bias across length-classes was variable across years. The percentage of unadjusted counts that were below the lower 95% confidence interval from our adjusted length-frequency estimates were 95, 89, 84, 78, 81, and 92% from 2005 to 2010, respectively. Length-frequency distributions are widely used in fisheries science and management. Our simple method for correcting length-frequency estimates for imperfect detection could be widely applied when mark–recapture data are available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.829141","usgsCitation":"Breton, A., Hawkins, J.A., and Winkelman, D.L., 2013, Correcting length-frequency distributions for imperfect detection: North American Journal of Fisheries Management, v. 33, no. 6, p. 1156-1165, https://doi.org/10.1080/02755947.2013.829141.","productDescription":"10 p.","startPage":"1156","endPage":"1165","numberOfPages":"10","ipdsId":"IP-041180","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":280735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280734,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.829141"}],"country":"United States","state":"Colorado","otherGeospatial":"Little Yampa Canyon;Yampa River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0509,40.219 ], [ -109.0509,41.0009 ], [ -107.3119,41.0009 ], [ -107.3119,40.219 ], [ -109.0509,40.219 ] ] ] } } ] }","volume":"33","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-11-15","publicationStatus":"PW","scienceBaseUri":"52ce747ae4b073e0995b2dcb","contributors":{"authors":[{"text":"Breton, André R.","contributorId":47682,"corporation":false,"usgs":false,"family":"Breton","given":"André R.","affiliations":[],"preferred":false,"id":482644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkins, John A.","contributorId":50076,"corporation":false,"usgs":true,"family":"Hawkins","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":482643,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}