Flaming Gorge Reservoir, like many western North American reservoirs, is managed to release water during the winter months to allow for water storage associated with melting snow and rain during spring. Decreases in reservoir elevation during winter can cause mortalities of kokanee Oncorhynchus nerka spawned along the shoreline the previous fall. This study compared data on depth distribution of embryos and depth-adjusted survival to estimate the relative survival of emergent kokanee at different depths and the effect of winter drawdown on the proportion of deposited eggs that survive to emergence. Estimates of decreases in kokanee survival to emergence were 8.3% and 38.1% for reservoir elevation reductions of 1.0 m and 5.0 m, respectively.
","language":"English","publisher":"Wiley","doi":"10.1577/1548-8675(1997)017<0470:ETIORE>2.3.CO;2","usgsCitation":"Modde, T., Jeric, R., Hubert, W., and Gipson, R., 2011, Estimating the impacts of reservoir elevation changes on kokanee emergence in Flaming Gorge Reservoir, Wyoming-Utah: North American Journal of Fisheries Management, v. 17, no. 2, p. 470-473, https://doi.org/10.1577/1548-8675(1997)017<0470:ETIORE>2.3.CO;2.","productDescription":"4 p.","startPage":"470","endPage":"473","costCenters":[],"links":[{"id":227944,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah, Wyoming","otherGeospatial":"Flaming Gorge Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.7259217454691,\n 44.109900177614634\n ],\n [\n -91.7259217454691,\n 43.03654263357964\n ],\n [\n -90.99042076365409,\n 43.03654263357964\n ],\n [\n -90.99042076365409,\n 44.109900177614634\n ],\n [\n -91.7259217454691,\n 44.109900177614634\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.6673836628923,\n 41.243442077416546\n ],\n [\n -109.6673836628923,\n 40.891102273111585\n ],\n [\n -109.47876873021526,\n 40.891102273111585\n ],\n [\n -109.47876873021526,\n 41.243442077416546\n ],\n [\n -109.6673836628923,\n 41.243442077416546\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b5be4b0c8380cd526b5","contributors":{"authors":[{"text":"Modde, T.","contributorId":98243,"corporation":false,"usgs":true,"family":"Modde","given":"T.","affiliations":[],"preferred":false,"id":384436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jeric, R.J.","contributorId":93223,"corporation":false,"usgs":true,"family":"Jeric","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":384435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubert, W.A.","contributorId":12822,"corporation":false,"usgs":true,"family":"Hubert","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":384433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gipson, R.D.","contributorId":70945,"corporation":false,"usgs":true,"family":"Gipson","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":384434,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":1003425,"text":"1003425 - 2011 - Habitat associations of small fishes around islands in the upper Mississippi River","interactions":[],"lastModifiedDate":"2025-03-25T15:54:06.985312","indexId":"1003425","displayToPublicDate":"2011-01-08T00:00:00","publicationYear":"2011","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":"Habitat associations of small fishes around islands in the upper Mississippi River","docAbstract":"In large rivers, islands provide a variety of habitat types and increase habitat heterogeneity. Creating or modifying islands with dredged sediments from channel maintenance operations provides an opportunity to enhance habitat features that might promote certain fish communities or general fish abundance. To determine associations between fish species and habitat features of islands, we sampled fish by seining at 62 sites around 20 islands in the upper Mississippi River from Winona, Minnesota, to Prairie du Chien, Wisconsin (180 km). Habitat characteristics were divided into macrohabitat features associated with islands, such as island shape, location, or maximum depth around the island, and mesohabitat features of sites, such as depth, sediment type, and vegetation abundance. Cluster analysis of islands based on macrohabitat features identified four clusters distinguished primarily by water depth and distance from the main channel. Mean fish density did not differ among island clusters. Cluster analysis of sites based on mesohabitat features produced four clusters distinguished primarily by vegetation abundance. Mean densities of most fish taxa were highest in clusters with moderate or dense vegetation and lowest in the cluster with no vegetation. For the eight most abundant fish species, multiple-regression analysis of density on mesohabitat features across all sites indicated that all species were positively correlated with vegetation abundance, which explained 7-49% of variation in density. Our results suggest that mesohabitat features of sites were more important than macrohabitat features of islands in determining density of small fishes and that modifications that increase the abundance of vegetation around islands are most likely to increase fish density.","language":"English","publisher":"Wiley","doi":"10.1577/1548-8675(1998)018<0327:HAOSFA>2.0.CO;2","usgsCitation":"Johnson, B.L., and Jennings, C.A., 2011, Habitat associations of small fishes around islands in the upper Mississippi River: North American Journal of Fisheries Management, v. 18, no. 2, p. 327-336, https://doi.org/10.1577/1548-8675(1998)018<0327:HAOSFA>2.0.CO;2.","productDescription":"10 p.","startPage":"327","endPage":"336","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":133919,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.7259217454691,\n 44.109900177614634\n ],\n [\n -91.7259217454691,\n 43.03654263357964\n ],\n [\n -90.99042076365409,\n 43.03654263357964\n ],\n [\n -90.99042076365409,\n 44.109900177614634\n ],\n [\n -91.7259217454691,\n 44.109900177614634\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64971b","contributors":{"authors":[{"text":"Johnson, Barry L. bljohnson@usgs.gov","contributorId":608,"corporation":false,"usgs":true,"family":"Johnson","given":"Barry","email":"bljohnson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":313261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":313262,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":1014768,"text":"1014768 - 2011 - Passage and behavior of adult American shad in an experimental louver bypass system","interactions":[],"lastModifiedDate":"2025-03-26T23:16:53.994674","indexId":"1014768","displayToPublicDate":"2011-01-08T00:00:00","publicationYear":"2011","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":"Passage and behavior of adult American shad in an experimental louver bypass system","docAbstract":"We tested 436 adult American shad Alosa sapidissima in an experimental louver bypass system, which was similar to a system operating at Holyoke Dam, Massachusetts, to determine guidance and passage efficiency and to study fish response to stimuli from physical structures, light intensity, and water velocity. Groups of 5–29 fish were exposed to combinations of two bypass exits (wide-shallow and vertical-slot sharp-crested weirs) and two louver arrays (7.6- and 15.2-cm slat spacing) oriented 20° to water flow direction. Underwater video observations showed fish responded to louvers as a physical barrier during the day, when they stayed 30–55 cm (1.3 cm/5 klx) away from and oriented parallel to louvers, and as a behavioral barrier at night, when they moved closer to louvers and oriented into the current. Both louver arrays guided fish effectively, (i.e., prevented fish from passing through the slats) 100% for narrow spacing and 97% for wide spacing. Adults avoided moving closer than 0.5 m to either exit type; instead, fish remained 0.8–1.4 bodylengths upstream, depending on light intensity (farther upstream during daytime, similar to behavior at louvers). At exits, water velocity increased from 0.4 m/s to 0.8 m/s or more in a distance of 0.9 m (rate of velocity increase, 0.44 m/s per meter). This rapid velocity increase elicited an avoidance response by fish that resulted in few fish (5%) passing. Our results provide behavioral explanations for the efficient guidance of adult American shad by louvers and for the fishes' avoidance of the exit at the Holyoke Dam. From this, we provide suggestions on how to prevent fish avoidance of exits.
","language":"English","publisher":"Wiley","doi":"10.1577/1548-8675(1997)017<0734:PABOAA>2.3.CO;2","usgsCitation":"Kynard, B., and Buerkett, C., 2011, Passage and behavior of adult American shad in an experimental louver bypass system: North American Journal of Fisheries Management, v. 17, no. 3, p. 734-742, https://doi.org/10.1577/1548-8675(1997)017<0734:PABOAA>2.3.CO;2.","productDescription":"9 p.","startPage":"734","endPage":"742","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":130007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Turners Falls","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.56439453147735,\n 42.61302490774074\n ],\n [\n -72.56439453147735,\n 42.60332345024415\n ],\n [\n -72.54419313325342,\n 42.60332345024415\n ],\n [\n -72.54419313325342,\n 42.61302490774074\n ],\n [\n -72.56439453147735,\n 42.61302490774074\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db688ec6","contributors":{"authors":[{"text":"Kynard, B.","contributorId":51232,"corporation":false,"usgs":true,"family":"Kynard","given":"B.","email":"","affiliations":[],"preferred":false,"id":321137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buerkett, C.","contributorId":89088,"corporation":false,"usgs":true,"family":"Buerkett","given":"C.","email":"","affiliations":[],"preferred":false,"id":321138,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209426,"text":"70209426 - 2011 - The effects of wetland restoration on mercury bioaccumulation in the South Bay Salt Pond Restoration Project: Using the biosentinel toolbox to monitor changes across multiple habitats and spatial scales","interactions":[],"lastModifiedDate":"2020-04-07T11:54:31.188408","indexId":"70209426","displayToPublicDate":"2011-01-07T06:42:43","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The effects of wetland restoration on mercury bioaccumulation in the South Bay Salt Pond Restoration Project: Using the biosentinel toolbox to monitor changes across multiple habitats and spatial scales","docAbstract":"The project was initiated in April 2010, and to date has included four sampling events of surface water (April, May, June/July, and August 2010) and five sampling events of biota (April, May, June/July, August, and September 2010) and three sampling events for surface sediment (May, June/July, and August 2010). This annual report briefly summarizes our progress to date.
No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Summary report for fate and effects of remnant oil remaining in the beach environment","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"United States Coast Guard","collaboration":"United States Coast Guard, Operational Science Advisory Team-2","usgsCitation":"Chapelle, F.H., and Widdowson, M.A., 2011, Modeling the fate and transport of polyaromatic hydrocarbons in the saturated zone, Grand Isle, Louisiana, 14 p.","productDescription":"14 p.","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":373775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373774,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.restorethegulf.gov/sites/default/files/documents/pdf/Annex%20D%20SEAM3D%20(2).pdf"}],"country":"United States","state":"Louisiana ","otherGeospatial":"Grand Isle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.04703521728516,\n 29.199224392750896\n ],\n [\n -90.04016876220703,\n 29.195627974328577\n ],\n [\n -90.01888275146484,\n 29.21540671432929\n ],\n [\n -89.9831771850586,\n 29.2333840743525\n ],\n [\n -89.95193481445312,\n 29.251058733968815\n ],\n [\n -89.94644165039062,\n 29.26543586583225\n ],\n [\n -89.95502471923828,\n 29.2738215926495\n ],\n [\n -89.97184753417969,\n 29.2651363628668\n ],\n [\n -89.98523712158203,\n 29.263938342231818\n ],\n [\n -89.9941635131836,\n 29.25854707567442\n ],\n [\n -89.99862670898438,\n 29.24446853982615\n ],\n [\n -90.01235961914061,\n 29.233683670282787\n ],\n [\n -90.0216293334961,\n 29.230987275348557\n ],\n [\n -90.03158569335938,\n 29.218403160129743\n ],\n [\n -90.03982543945312,\n 29.208214886852588\n ],\n [\n -90.04703521728516,\n 29.199224392750896\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":786457,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074338,"text":"70074338 - 2011 - Quantifying solute transport processes: Are chemically \"conservative\" tracers electrically conservative?","interactions":[],"lastModifiedDate":"2020-01-14T09:59:44","indexId":"70074338","displayToPublicDate":"2011-01-04T11:31:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying solute transport processes: Are chemically \"conservative\" tracers electrically conservative?","docAbstract":"The concept of a nonreactive or conservative tracer, commonly invoked in investigations of solute transport, requires additional study in the context of electrical geophysical monitoring. Tracers that are commonly considered conservative may undergo reactive processes, such as ion exchange, thus changing the aqueous composition of the system. As a result, the measured electrical conductivity may reflect not only solute transport but also reactive processes. We have evaluated the impacts of ion exchange reactions, rate-limited mass transfer, and surface conduction on quantifying tracer mass, mean arrival time, and temporal variance in laboratory-scale column experiments. Numerical examples showed that (1) ion exchange can lead to resistivity-estimated tracer mass, velocity, and dispersivity that may be inaccurate; (2) mass transfer leads to an overestimate in the mobile tracer mass and an underestimate in velocity when using electrical methods; and (3) surface conductance does not notably affect estimated moments when high-concentration tracers are used, although this phenomenon may be important at low concentrations or in sediments with high and/or spatially variable cation-exchange capacity. In all cases, colocated groundwater concentration measurements are of high importance for interpreting geophysical data with respect to the controlling transport processes of interest.","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3511356","usgsCitation":"Singha, K., Li, L., Day-Lewis, F.D., and Regberg, A.B., 2011, Quantifying solute transport processes: Are chemically \"conservative\" tracers electrically conservative?: Geophysics, v. 76, no. 1, p. F53-F63, https://doi.org/10.1190/1.3511356.","productDescription":"11 p.","startPage":"F53","endPage":"F63","numberOfPages":"11","ipdsId":"IP-022860","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":281650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6ec9e4b0b29085105ff4","contributors":{"authors":[{"text":"Singha, Kamini","contributorId":76733,"corporation":false,"usgs":true,"family":"Singha","given":"Kamini","affiliations":[],"preferred":false,"id":489518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Li","contributorId":107607,"corporation":false,"usgs":true,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":489519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":489516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regberg, Aaron B.","contributorId":19074,"corporation":false,"usgs":true,"family":"Regberg","given":"Aaron","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":489517,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175491,"text":"70175491 - 2011 - Chapter 9: Occurrence of small mammals: Deer mice and challenge of trapping across large spatial extents","interactions":[{"subject":{"id":70175491,"text":"70175491 - 2011 - Chapter 9: Occurrence of small mammals: Deer mice and challenge of trapping across large spatial extents","indexId":"70175491","publicationYear":"2011","noYear":false,"chapter":"9","title":"Chapter 9: Occurrence of small mammals: Deer mice and challenge of trapping across large spatial extents"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:41:55.24332","indexId":"70175491","displayToPublicDate":"2011-01-04T01:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Chapter 9: Occurrence of small mammals: Deer mice and challenge of trapping across large spatial extents","docAbstract":"Small mammal communities living in sagebrush (Artemisia spp.) may be sensitive to habitat isolation and invasion by exotic grass species. Yet there have been no spatially explicit models to improve our understanding of landscape-scale factors determining small mammal occurrence or abundance. We live-trapped small mammals at 186 locations in the Wyoming Basin Ecoregional Assessment area to develop species distribution (habitat) models for each species. Most small mammal species (n = 14) were trapped at a only few locations. As a result, we developed a small mammal model only for the deer mouse (Peromyscus maniculatus). Deer mice were associated with areas having moderately productive habitat as measured by Normalized Difference Vegetation Index (NDVI), increased grassland land cover, contagion of sagebrush land cover, and proximity to intermittent water. The proportion of big sagebrush (Artemisia tridentata) within 0.27 km, proportion of mixed shrubland within 5 km, soil clay content, and proximity to pipelines were inversely related to the occurrence of deer mice. Understanding habitat characteristics for deer mice helps our overall understanding of the ecological processes within sagebrush habitats because deer mice act as predator, prey, competitor, and disease reservoir. Development of the empirical data necessary for spatially explicit habitat modeling of small mammal distributions at large spatial extents requires an extensive trapping effort in order to obtain enough observations to construct models, calculate robust detectability estimates, and overcome issues such as trap shyness and population cycling.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Allen Press","publisherLocation":"Lawrence, Kansas","isbn":"978-0-615-55530-0","usgsCitation":"Hanser, S.E., Leu, M., Aldridge, C.L., Nielsen, S.E., and Knick, S.T., 2011, Chapter 9: Occurrence of small mammals: Deer mice and challenge of trapping across large spatial extents, chap. 9 of Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins, p. 337-356.","productDescription":"20 p.","startPage":"337","endPage":"356","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378029,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ja/70175491/70175491.pdf","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.03881835937499,\n 41.0130657870063\n ],\n [\n -111.03881835937499,\n 44.99588261816546\n ],\n [\n -104.073486328125,\n 44.99588261816546\n ],\n [\n -104.073486328125,\n 41.0130657870063\n ],\n [\n -111.03881835937499,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b2e7bfe4b03bcb0102e91c","contributors":{"authors":[{"text":"Hanser, Steven E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":127554,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":645457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leu, Matthias","contributorId":68393,"corporation":false,"usgs":true,"family":"Leu","given":"Matthias","affiliations":[],"preferred":false,"id":645458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":645459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielsen, Scott E.","contributorId":65190,"corporation":false,"usgs":true,"family":"Nielsen","given":"Scott","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":645460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":645461,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043240,"text":"70043240 - 2011 - A westward extension of the warm pool leads to a westward extension of the Walker circulation, drying eastern Africa","interactions":[],"lastModifiedDate":"2021-04-27T19:45:30.990936","indexId":"70043240","displayToPublicDate":"2011-01-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"A westward extension of the warm pool leads to a westward extension of the Walker circulation, drying eastern Africa","docAbstract":"Observations and simulations link anthropogenic greenhouse and aerosol emissions with rapidly increasing Indian Ocean sea surface temperatures (SSTs). Over the past 60 years, the Indian Ocean warmed two to three times faster than the central tropical Pacific, extending the tropical warm pool to the west by ~40° longitude (>4,000 km). This propensity toward rapid warming in the Indian Ocean has been the dominant mode of interannual variability among SSTs throughout the tropical Indian and Pacific Oceans (55°E–140°W) since at least 1948, explaining more variance than anomalies associated with the El Niño-Southern Oscillation (ENSO). In the atmosphere, the primary mode of variability has been a corresponding trend toward greatly increased convection and precipitation over the tropical Indian Ocean. The temperature and rainfall increases in this region have produced a westward extension of the western, ascending branch of the atmospheric Walker circulation. Diabatic heating due to increased mid-tropospheric water vapor condensation elicits a westward atmospheric response that sends an easterly flow of dry air aloft toward eastern Africa. In recent decades (1980–2009), this response has suppressed convection over tropical eastern Africa, decreasing precipitation during the ‘long-rains’ season of March–June. This trend toward drought contrasts with projections of increased rainfall in eastern Africa and more ‘El Niño-like’ conditions globally by the Intergovernmental Panel on Climate Change. Increased Indian Ocean SSTs appear likely to continue to strongly modulate the Warm Pool circulation, reducing precipitation in eastern Africa, regardless of whether the projected trend in ENSO is realized. These results have important food security implications, informing agricultural development, environmental conservation, and water resource planning.
","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00382-010-0984-y","usgsCitation":"Williams, A.P., and Funk, C.C., 2011, A westward extension of the warm pool leads to a westward extension of the Walker circulation, drying eastern Africa: Climate Dynamics, v. 37, p. 2417-2435, https://doi.org/10.1007/s00382-010-0984-y.","productDescription":"19 p.","startPage":"2417","endPage":"2435","ipdsId":"IP-024695","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00382-010-0984-y","text":"Publisher Index Page"},{"id":270810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","volume":"37","noUsgsAuthors":false,"publicationDate":"2011-01-04","publicationStatus":"PW","scienceBaseUri":"5167db62e4b0ec0efb666ef0","contributors":{"authors":[{"text":"Williams, A. Park","contributorId":88456,"corporation":false,"usgs":true,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[],"preferred":false,"id":473219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473218,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118621,"text":"70118621 - 2011 - Challenges of predicting the potential distribution of a slow-spreading invader: a habitat suitability map for an invasive riparian tree","interactions":[],"lastModifiedDate":"2014-07-29T15:49:53","indexId":"70118621","displayToPublicDate":"2011-01-01T15:48:19","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Challenges of predicting the potential distribution of a slow-spreading invader: a habitat suitability map for an invasive riparian tree","docAbstract":"Understanding the potential spread of invasive species is essential for land managers to prevent their establishment and restore impacted habitat. Habitat suitability modeling provides a tool for researchers and managers to understand the potential extent of invasive species spread. Our goal was to use habitat suitability modeling to map potential habitat of the riparian plant invader, Russian olive (Elaeagnus angustifolia). Russian olive has invaded riparian habitat across North America and is continuing to expand its range. We compiled 11 disparate datasets for Russian olive presence locations (n = 1,051 points and 139 polygons) in the western US and used Maximum entropy (Maxent) modeling to develop two habitat suitability maps for Russian olive in the western United States: one with coarse-scale water data and one with fine-scale water data. Our models were able to accurately predict current suitable Russian olive habitat (Coarse model: training AUC = 0.938, test AUC = 0.907; Fine model: training AUC = 0.923, test AUC = 0.885). Distance to water was the most important predictor for Russian olive presence in our coarse-scale water model, but it was only the fifth most important variable in the fine-scale model, suggesting that when water bodies are considered on a fine scale, Russian olive does not necessarily rely on water. Our model predicted that Russian olive has suitable habitat further west from its current distribution, expanding into the west coast and central North America. Our methodology proves useful for identifying potential future areas of invasion. Model results may be influenced by locations of cultivated individuals and sampling bias. Further study is needed to examine the potential for Russian olive to invade beyond its current range. Habitat suitability modeling provides an essential tool for enhancing our understanding of invasive species spread.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10530-010-9798-4","usgsCitation":"Jarnevich, C.S., and Reynolds, L., 2011, Challenges of predicting the potential distribution of a slow-spreading invader: a habitat suitability map for an invasive riparian tree: Biological Invasions, v. 13, no. 1, p. 153-163, https://doi.org/10.1007/s10530-010-9798-4.","productDescription":"11 p.","startPage":"153","endPage":"163","numberOfPages":"11","costCenters":[],"links":[{"id":291359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291358,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-010-9798-4"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-02","publicationStatus":"PW","scienceBaseUri":"57fe7fb6e4b0824b2d1478f8","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Lindsay V.","contributorId":102732,"corporation":false,"usgs":true,"family":"Reynolds","given":"Lindsay V.","affiliations":[],"preferred":false,"id":497152,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044656,"text":"70044656 - 2011 - Comparison of simulations of land-use specific water demand and irrigation water supply by MF-FMP and IWFM","interactions":[],"lastModifiedDate":"2013-07-30T15:08:37","indexId":"70044656","displayToPublicDate":"2011-01-01T14:54:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":292,"text":"Technical Information Record","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"TIR-2","title":"Comparison of simulations of land-use specific water demand and irrigation water supply by MF-FMP and IWFM","docAbstract":"Two hydrologic models, MODFLOW with the Farm Process (MF-FMP) and the Integrated Water Flow Model (IWFM), are compared with respect to each model’s capabilities of simulating land-use hydrologic processes, surface-water routing, and groundwater flow. Of major concern among the land-use processes was the consumption of water through evaporation and transpiration by plants. The comparison of MF-FMP and IWFM was conducted and completed using a realistic hypothetical case study. Both models simulate the water demand for water-accounting units resulting from evapotranspiration and inefficiency losses and, for irrigated units, the supply from surface-water deliveries and groundwater pumpage. The MF-FMP simulates reductions in evapotranspiration owing to anoxia and wilting, and separately considers land-use-related evaporation and transpiration; IWFM simulates reductions in evapotranspiration related to the depletion of soil moisture. The models simulate inefficiency losses from precipitation and irrigation water applications to runoff and deep percolation differently. MF-FMP calculates the crop irrigation requirement and total farm delivery requirement, and then subtracts inefficiency losses from runoff and deep percolation. In IWFM, inefficiency losses to surface runoff from irrigation and precipitation are computed and subtracted from the total irrigation and precipitation before the crop irrigation requirement is estimated. Inefficiency losses in terms of deep percolation are computed simultaneously with the crop irrigation requirement. The seepage from streamflow routing also is computed differently and can affect certain hydrologic settings and magnitudes ofstreamflow infiltration. MF-FMP assumes steady-state conditions in the root zone; therefore, changes in soil moisture within the root zone are not calculated. IWFM simulates changes in the root zone in both irrigated and non-irrigated natural vegetation. Changes in soil moisture are more significant for non-irrigated natural vegetation areas than in the irrigated areas. Therefore, to facilitate the comparison of models, the changes in soil moisture are only simulated by IWFM for the natural vegetation areas, and soil-moisture parameters in irrigated regions in IWFM were specified at constant values . The IWFM total simulated changes in soil moisture that are related to natural vegetation areas vary from stress period to stress period but are small over the entire two-year period of simulation. In the hypothetical case study, IWFM simulates more evapotranspiration and return flows and less streamflow infiltration than MF-FMP. This causes more simulated surface-water diversions upstream and less simulated water available to downstream farms in IWFM compared to MF-FMP. The evapotranspiration simulated by the two models is well correlated even though the quantity is different. The different approaches used to simulate soil moisture, evapotranspiration, and inefficient losses yield different results for deep percolation and pumpage. In IWFM, deep percolation is a function of soil moisture; therefore, the constant soil-moisture requirement for irrigated regions, assumed for this comparison, results in a constant deep percolation rate. This led to poor correlation with the variable deep percolation rates simulated in MF-FMP, where the deep percolation rate, a fraction of inefficiency losses from precipitation and irrigation, is a function of quasi-steady state infiltration for each soil type and a function of groundwater head. Similarly, the larger simulated evapotranspiration in IWFM is mainly responsible for larger simulated groundwater pumpage demands and related lower groundwater levels in IWFM compared to MF-FMP. Because of the differences in features between MF-FMP and IWFM, the user may find that for certain hydrologic settings one model is better suited than the other. The performance of MF-FMP and IWFM in this particular hypothetical test case, with a fixed framework composed of common initial and boundary conditions and input parameter values, does not necessarily predict the performance of MF-FMP and IWFM in a real-world situation with variable framework and parameter values. These differences may affect the evaluation of policies, projects, or water-balance analysis for some hydrologic settings. Generally, both models are powerful tools that simulate a connected system of aquifer, stream networks, land surface, root zone, and runoff processes. MF-FMP simulated the hypothetical test case in about 4 minutes compared to about 58 minutes for IWFM.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Schmid, W., Dogural, E., Hanson, R.T., Kadir, T., and Chung, F., 2011, Comparison of simulations of land-use specific water demand and irrigation water supply by MF-FMP and IWFM: Technical Information Record TIR-2, xii, 68 p.","productDescription":"xii, 68 p.","numberOfPages":"80","ipdsId":"IP-001273","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":275589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275588,"type":{"id":11,"text":"Document"},"url":"https://baydeltaoffice.water.ca.gov/modeling/hydrology/IWFM/Publications/downloadables/Reports/IWFM%20and%20MF-FMP%20TIR-2%20(USGS-DWR%20Nov2011).pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8e061e4b0cecbe8fa9860","contributors":{"authors":[{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":476136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dogural, Emin","contributorId":20629,"corporation":false,"usgs":true,"family":"Dogural","given":"Emin","email":"","affiliations":[],"preferred":false,"id":476133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kadir, Tariq","contributorId":26208,"corporation":false,"usgs":true,"family":"Kadir","given":"Tariq","email":"","affiliations":[],"preferred":false,"id":476134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chung, Francis","contributorId":54488,"corporation":false,"usgs":true,"family":"Chung","given":"Francis","email":"","affiliations":[],"preferred":false,"id":476135,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70146224,"text":"70146224 - 2011 - Recent and historic drivers of landscape change in the Everglades ridge, slough, and Tree Island mosaic","interactions":[],"lastModifiedDate":"2015-04-14T13:06:19","indexId":"70146224","displayToPublicDate":"2011-01-01T14:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1345,"text":"Critical Reviews in Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Recent and historic drivers of landscape change in the Everglades ridge, slough, and Tree Island mosaic","docAbstract":"More than half of the original Everglades extent formed a patterned peat mosaic of elevated ridges, lower and more open sloughs, and tree islands aligned parallel to the dominant flow direction. This ecologically important landscape structure remained in a dynamic equilibrium for millennia prior to rapid degradation over the past century in response to human manipulation of the hydrologic system. Restoration of the patterned landscape structure is one of the primary objectives of the Everglades restoration effort. Recent research has revealed that three main drivers regulated feedbacks that initiated and maintained landscape structure: the spatial and temporal distribution of surface water depths, surface and subsurface flow, and phosphorus supply. Causes of recent degradation include but are not limited to perturbations to these historically important controls; shifts in mineral and sulfate supply may have also contributed to degradation. Restoring predrainage hydrologic conditions will likely preserve remaining landscape pattern structure, provided a sufficient supply of surface water with low nutrient and low total dissolved solids content exists to maintain a rainfall-driven water chemistry. However, because of hysteresis in landscape evolution trajectories, restoration of areas with a fully degraded landscape could require additional human intervention.
","language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","doi":"10.1080/10643389.2010.531219","usgsCitation":"Larsen, L., Nicholas Aumen, Bernhardt, C.E., Engel, V., Givnish, T.J., S Hagerthey, P.M., Harvey, J., Leonard, L., McCormick, P., McVoy, C., Noe, G.E., Nungesser, M.K., Rutchey, K., Sklar, F., Troxler, T.G., Volin, J.C., and Willard, D.A., 2011, Recent and historic drivers of landscape change in the Everglades ridge, slough, and Tree Island mosaic: Critical Reviews in Environmental Science and Technology, v. 41, no. 1, p. 344-381, https://doi.org/10.1080/10643389.2010.531219.","productDescription":"33 p.","startPage":"344","endPage":"381","numberOfPages":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019250","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":299671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299668,"type":{"id":15,"text":"Index Page"},"url":"https://www.tandfonline.com/doi/abs/10.1080/10643389.2010.531219#.VJG9x_nF9qN"}],"volume":"41","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552e3a30e4b0b22a157fa0ac","contributors":{"authors":[{"text":"Larsen, Laurel G. lglarsen@usgs.gov","contributorId":1987,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","email":"lglarsen@usgs.gov","affiliations":[],"preferred":false,"id":544849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholas Aumen","contributorId":140210,"corporation":false,"usgs":false,"family":"Nicholas Aumen","affiliations":[{"id":13414,"text":"Loxahatchee National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":544851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":544845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engel, Vic 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":140213,"corporation":false,"usgs":false,"family":"Engel","given":"Vic","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":544854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Givnish, Thomas J.","contributorId":49648,"corporation":false,"usgs":true,"family":"Givnish","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":544873,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"S Hagerthey, P McCormick","contributorId":140211,"corporation":false,"usgs":false,"family":"S Hagerthey","given":"P","email":"","middleInitial":"McCormick","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":544852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - 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Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":544847,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nungesser, Martha K.","contributorId":43254,"corporation":false,"usgs":true,"family":"Nungesser","given":"Martha","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":544876,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rutchey, K.","contributorId":35825,"corporation":false,"usgs":true,"family":"Rutchey","given":"K.","email":"","affiliations":[],"preferred":false,"id":544877,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sklar, Fred","contributorId":72295,"corporation":false,"usgs":true,"family":"Sklar","given":"Fred","affiliations":[],"preferred":false,"id":544878,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Troxler, Tiffany G.","contributorId":140212,"corporation":false,"usgs":false,"family":"Troxler","given":"Tiffany","email":"","middleInitial":"G.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":544853,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Volin, John C.","contributorId":39226,"corporation":false,"usgs":true,"family":"Volin","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":544879,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":544846,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70047281,"text":"70047281 - 2011 - Carbon and nitrogen biogeochemistry of a Prairie Pothole Wetland, Stutsman County, North Dakota, USA","interactions":[],"lastModifiedDate":"2013-08-28T14:20:30","indexId":"70047281","displayToPublicDate":"2011-01-01T14:01:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and nitrogen biogeochemistry of a Prairie Pothole Wetland, Stutsman County, North Dakota, USA","docAbstract":"The concentration and form of dissolved organic C (DOC) and N species (NH4+ and NO3-) were investigated as part of a larger hydrogeochemical study of the Cottonwood Lake Study Area within the Prairie Potholes region. Groundwater, pore water and surface wetland water data were used to help characterize the relationships between surface and groundwater with respect to nutrient dynamics. Photosynthesis and subsequent decomposition of vegetation in these hydrologically dynamic wetlands generates a large amount of dissolved C and N, although the subsurface till, derived in part from organic matter rich Pierre Shale, is a likely secondary source of nutrients in deeper groundwater. While surface water DOC concentrations ranged from 2.2 to 4.6 mM, groundwater values were 0.15 mM to 3.7 mM. Greater specific UV absorbance (SUVA254) in the wetland water column and in soil pore waters relative to groundwater indicate more reactive DOC in the surface to near-surface waters. Circumneutral wetlands had greater SUVA254, possibly because of variations in vegetation communities. The dominant inorganic nitrogen species was NH4+ in both wetland water and most ground water samples. The exceptions were 3 wells with NO3- ranging from 38 to 115 μM. Shallow groundwater wells (Well 28 and Well 13S) with greater connection to wetland surface water had greater NH4+ concentrations (1.1 mM and 120 μM) than other well samples (3–90 μM). Pore water nutrient chemistry was more similar to surface water than ground water. Nitrogen results suggest reducing conditions in both groundwater and surface water, possibly due to the microbial uptake of O2 by decaying vegetation in the wetland water column, labile organic C available in shallow groundwater, or the oxidation of pyrite associated with the subsurface.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.03.025","usgsCitation":"Holloway, J.M., Goldhaber, M.B., and Mills, C., 2011, Carbon and nitrogen biogeochemistry of a Prairie Pothole Wetland, Stutsman County, North Dakota, USA: Applied Geochemistry, v. 26, supplement, p. S44-S47, https://doi.org/10.1016/j.apgeochem.2011.03.025.","productDescription":"4 p.","startPage":"S44","endPage":"S47","numberOfPages":"4","ipdsId":"IP-027306","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":277116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277113,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.03.025"}],"country":"United States","state":"North Dakota","otherGeospatial":"Stutsman County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.4828,46.6294 ], [ -99.4828,47.3272 ], [ -98.4396,47.3272 ], [ -98.4396,46.6294 ], [ -99.4828,46.6294 ] ] ] } } ] }","volume":"26, supplement","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521f1be3e4b0f8bf2b0760e1","contributors":{"authors":[{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills, Christopher T. 0000-0001-8414-1414","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":93308,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","affiliations":[],"preferred":false,"id":481609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70101351,"text":"70101351 - 2011 - Fine scale movements and habitat use of black brant during the flightless Wing Molt in Arctic Alaska","interactions":[],"lastModifiedDate":"2017-12-13T18:04:34","indexId":"70101351","displayToPublicDate":"2011-01-01T13:29:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Fine scale movements and habitat use of black brant during the flightless Wing Molt in Arctic Alaska","docAbstract":"Thousands of Black Brant (Branta bernicla nigricans) migrate annually to the Teshekpuk Lake Special Area (TLSA), Alaska, to undergo the flightless wing molt on tundra lakes and wetlands. GPS transmitters were attached to Brant over two summers (2007–2008) to examine patterns of movement and habitat use of molting Brant, including variation by habitat type, year and body mass. Molting Brant were located an average of 31 ± 1 m (SE) from shore and this distance did not vary across any of the explanatory variables. Brant moved an average of 123 ± 3 m hr-1 while flightless. Movement rates varied by year, averaging 22 ± 12 m hr-1 faster in 2008, and across habitat types, averaging 22 ± 13 m hr-1 faster in inland versus coastal and estuarine habitats. Two kernel home ranges were estimated: entire home range, which encompassed the complete 95% probability contour, and shoreline home range, which included only shoreline areas used by molting Brant. Entire home range (x bar = 15.1 ± 2.2 km2) was negatively correlated with body mass, suggesting that heavier individuals have more body reserves to contribute to feather growth and thereby require less food and smaller home ranges. Conversely, shoreline home range (x bar = 4.3 ± 0.6 km2) did not vary by body mass, but rather by habitat type, being larger in estuarine habitats. The complex shorelines and numerous deltaic islands of estuarine habitats offer more shoreline per area than either coastal or inland habitats. Brant appear to have limited ability to adjust their home range size or forage further from shore in response to variable food resources across years or habitats, instead altering their movement rate. Given this apparent lack of behavioral flexibility, Brant may be sensitive to development-related disturbances or habitat losses at molt sites in the TLSA.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.034.0206","usgsCitation":"Lewis, T., Flint, P.L., Derksen, D.V., and Schmutz, J.A., 2011, Fine scale movements and habitat use of black brant during the flightless Wing Molt in Arctic Alaska: Waterbirds, v. 34, no. 2, p. 177-185, https://doi.org/10.1675/063.034.0206.","productDescription":"9 p.","startPage":"177","endPage":"185","ipdsId":"IP-017395","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":286203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Teshekpuk Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.77,69.17 ], [ -158.77,71.36 ], [ -150.1,71.36 ], [ -150.1,69.17 ], [ -158.77,69.17 ] ] ] } } ] }","volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53559436e4b0120853e8bf7c","contributors":{"authors":[{"text":"Lewis, Tyler L.","contributorId":22904,"corporation":false,"usgs":false,"family":"Lewis","given":"Tyler L.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":492671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":492670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":492669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":492668,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155063,"text":"70155063 - 2011 - An innovative method for nondestructive analysis of cast iron artifacts at Hopewell Furnace National Historic Site, Pennsylvania","interactions":[],"lastModifiedDate":"2022-02-04T20:02:32.641115","indexId":"70155063","displayToPublicDate":"2011-01-01T13:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"An innovative method for nondestructive analysis of cast iron artifacts at Hopewell Furnace National Historic Site, Pennsylvania","docAbstract":"The U.S. Geological Survey (USGS) is conducting research at Hopewell Furnace National Historic Site (fig. 1; see sidebar, page 53) in southeastern Pennsylvania to determine the fate of trace metals, such as arsenic, cobalt, and lead, released into the environment during the iron-smelting process. Arsenic is a carcinogen, cobalt is a suspected carcinogen, and lead can cause severe health problems.
Iron ore containing elevated quantities of trace metals was smelted at Hopewell Furnace during its 113 years of operation (1771-1883). The ore used at Hopewell Furnace was obtained from local mines, mainly the Jones and Hopewell mines, which were within 5 miles (8 km) of the furnace. The iron ore deposits were formed during the early Jurassic period about 200 million years ago. The deposits are mineralogically similar and contain abundant magnetite, the chief iron mineral, and accessory minerals enriched in arsenic, cobalt, copper, and other metals.
","language":"English","publisher":"National Park Service","publisherLocation":"Corvallis, OR","usgsCitation":"Sloto, R.A., and Helmke, M.F., 2011, An innovative method for nondestructive analysis of cast iron artifacts at Hopewell Furnace National Historic Site, Pennsylvania: Park Science, v. 27, no. 3, p. 50-53.","productDescription":"4 p.","startPage":"50","endPage":"53","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025199","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":305968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395474,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/616090","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Hopewell Furnace National Historic Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.77600955963135,\n 40.216635475391215\n ],\n [\n -75.77489376068115,\n 40.21401378262961\n ],\n [\n -75.7747220993042,\n 40.21296507712467\n ],\n [\n -75.77420711517334,\n 40.211719718259396\n ],\n [\n -75.77407836914062,\n 40.21086761742911\n ],\n [\n -75.77519416809082,\n 40.20975331556294\n ],\n [\n -75.77648162841795,\n 40.2088684157361\n ],\n [\n -75.77755451202393,\n 40.20808182841334\n ],\n [\n -75.77725410461426,\n 40.20378821171651\n ],\n [\n -75.77661037445068,\n 40.20136268971545\n ],\n [\n -75.77467918395996,\n 40.20100213173917\n ],\n [\n -75.77476501464844,\n 40.198674847761396\n ],\n [\n -75.77549457550047,\n 40.19739644651433\n ],\n [\n -75.77523708343506,\n 40.195757435297466\n ],\n [\n -75.77403545379639,\n 40.19415116586897\n ],\n [\n -75.77390670776367,\n 40.19103686164859\n ],\n [\n -75.7697868347168,\n 40.1898894503593\n ],\n [\n -75.76618194580078,\n 40.19149582072908\n ],\n [\n -75.76725482940672,\n 40.19313493494821\n ],\n [\n -75.76643943786621,\n 40.193102153052074\n ],\n [\n -75.76549530029297,\n 40.1963147035562\n ],\n [\n -75.76446533203125,\n 40.19598689925278\n ],\n [\n -75.7640790939331,\n 40.19736366667823\n ],\n [\n -75.76330661773682,\n 40.19801926038919\n ],\n [\n -75.76352119445801,\n 40.19828149609871\n ],\n [\n -75.76476573944092,\n 40.19847817221529\n ],\n [\n -75.76528072357176,\n 40.199068197142125\n ],\n [\n -75.76789855957031,\n 40.19834705486762\n ],\n [\n -75.76922893524169,\n 40.20067435009677\n ],\n [\n -75.76352119445801,\n 40.20411597830402\n ],\n [\n -75.76111793518066,\n 40.20332933583161\n ],\n [\n -75.75596809387207,\n 40.20214935500793\n ],\n [\n -75.75794219970703,\n 40.2054598047443\n ],\n [\n -75.75777053833008,\n 40.20660695257954\n ],\n [\n -75.75519561767578,\n 40.20670527863353\n ],\n [\n -75.75592517852783,\n 40.211162576621184\n ],\n [\n -75.76090335845947,\n 40.21132644228434\n ],\n [\n -75.76425075531006,\n 40.21968306573258\n ],\n [\n -75.76528072357176,\n 40.21994521763862\n ],\n [\n -75.76652526855469,\n 40.2197486038042\n ],\n [\n -75.76858520507811,\n 40.21928983597168\n ],\n [\n -75.77030181884766,\n 40.21892937335265\n ],\n [\n -75.77107429504395,\n 40.21814290280006\n ],\n [\n -75.77390670776367,\n 40.21768412409529\n ],\n [\n -75.77433586120605,\n 40.21725811251656\n ],\n [\n -75.7752799987793,\n 40.21719257203595\n ],\n [\n -75.77600955963135,\n 40.216635475391215\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b361aee4b09a3b01b5da90","contributors":{"authors":[{"text":"Sloto, Ronald A. rasloto@usgs.gov","contributorId":424,"corporation":false,"usgs":true,"family":"Sloto","given":"Ronald","email":"rasloto@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helmke, Martin F.","contributorId":145611,"corporation":false,"usgs":false,"family":"Helmke","given":"Martin","email":"","middleInitial":"F.","affiliations":[{"id":16171,"text":"West Chester University","active":true,"usgs":false}],"preferred":false,"id":564760,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70154869,"text":"70154869 - 2011 - The ichthyofauna of drifting macrophyte mats in the Ivinhema River, upper Paraná River basin, Brazil","interactions":[],"lastModifiedDate":"2015-07-10T11:36:48","indexId":"70154869","displayToPublicDate":"2011-01-01T12:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2852,"text":"Neotropical Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"The ichthyofauna of drifting macrophyte mats in the Ivinhema River, upper Paraná River basin, Brazil","docAbstract":"We describe the fish assemblages associated with drifting macrophyte mats and consider their possible role as dispersal vectors in the Ivinhema River, a major tributary of the upper Paraná River, Brazil. Fish associated with drifting mats were sampled in the main river channel during January and March 2005, when the wind and/or the increased water level were sufficient to transport macrophyte stands. Fish in the drifting mats were sampled with a floating sieve (4 m long x 2 m wide x 0.6 m high, and 2 mm mesh size). In the laboratory, larvae, juvenile, and adult fish were counted and identified to the lowest possible taxonomic level. In four drifting macrophyte mats we captured 218 individuals belonging to at least 28 species, 17 families, and 6 orders. Aphyocharax dentatus, Serrasalmus spp., and Trachelyopterus galeatus were the most abundant taxa associated with the mats, but species richness ranged from 6 to 24 species per mat. In addition, 85% of the total number of individuals caught was larvae and juveniles. Although preliminary and based on limited samples, this study of drifting macrophyte mats was the first one in the last unregulated stretch of the Paraná River remaining inside Brazilian territory, and alerts us to the potential role of macrophytes mats as dispersers of fish species in the region.
","language":"English","publisher":"Sociedade Brasileira de Ictiologia","publisherLocation":"São Paulo, Brazil","doi":"10.1590/S1679-62252011005000021","usgsCitation":"Bulla, C.K., Gomes, L.C., Miranda, L.E., and Agostinho, A., 2011, The ichthyofauna of drifting macrophyte mats in the Ivinhema River, upper Paraná River basin, Brazil: Neotropical Ichthyology, v. 9, no. 2, p. 403-409, https://doi.org/10.1590/S1679-62252011005000021.","productDescription":"7 p.","startPage":"403","endPage":"409","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030251","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1590/s1679-62252011005000021","text":"Publisher Index Page"},{"id":305654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-06-17","publicationStatus":"PW","scienceBaseUri":"55a0ecb5e4b0183d66e43051","contributors":{"authors":[{"text":"Bulla, C. K.","contributorId":143694,"corporation":false,"usgs":false,"family":"Bulla","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":564614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomes, Luiz Carlos","contributorId":88227,"corporation":false,"usgs":true,"family":"Gomes","given":"Luiz","email":"","middleInitial":"Carlos","affiliations":[],"preferred":false,"id":564615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agostinho, A. A.","contributorId":143695,"corporation":false,"usgs":false,"family":"Agostinho","given":"A. A.","affiliations":[],"preferred":false,"id":564616,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70101981,"text":"70101981 - 2011 - Electrical properties of methane hydrate + sediment mixtures","interactions":[],"lastModifiedDate":"2014-05-27T12:44:47","indexId":"70101981","displayToPublicDate":"2011-01-01T12:38:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1641,"text":"Fire in the Ice: NETL Methane Hydrate Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Electrical properties of methane hydrate + sediment mixtures","docAbstract":"As part of our DOE-funded proposal to characterize gas hydrate in the Gulf of Mexico using marine electromagnetic methods, a collaboration between SIO, LLNL, and USGS with the goal of measuring the electrical properties of lab-created methane (CH4) hydrate and sediment mixtures was formed. We examined samples with known characteristics to better relate electrical properties measured in the field to specific gas hydrate concentration and distribution patterns. Here we discuss first-ever electrical conductivity (σ) measurements on unmixed CH4 hydrate (Du Frane et al., 2011): 6 x 10-5 S/m at 5 °C, which is ~5 orders of magnitude lower than seawater. This difference allows electromagnetic (EM) techniques to distinguish highly resistive gas hydrate deposits from conductive water saturated sediments in EM field surveys. More recently, we performed measurements on CH4 hydrate mixed with sediment and we also discuss those initial findings here. Our results on samples free of liquid water are important for predicting conductivity of sediments with pores highly saturated with gas hydrate, and are an essential starting point for comprehensive mixing models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fire in the Ice","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Department of Energy","usgsCitation":"Du Frane, W.L., Stern, L.A., Weitemeyer, K.A., Constable, S., and Roberts, J.J., 2011, Electrical properties of methane hydrate + sediment mixtures: Fire in the Ice: NETL Methane Hydrate Newsletter, v. 11, no. 2, p. 10-13.","productDescription":"4 p.","startPage":"10","endPage":"13","numberOfPages":"4","ipdsId":"IP-033683","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":287601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286371,"type":{"id":15,"text":"Index Page"},"url":"https://www.netl.doe.gov/research/oil-and-gas/methane-hydrates/fire-in-the-ice"}],"volume":"11","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3f5e4b09e18fc023a47","contributors":{"authors":[{"text":"Du Frane, Wyatt L.","contributorId":23067,"corporation":false,"usgs":false,"family":"Du Frane","given":"Wyatt","email":"","middleInitial":"L.","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":492821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Laura A. 0000-0003-3440-5674 lstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":1197,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"lstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":492819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weitemeyer, Karen A.","contributorId":90215,"corporation":false,"usgs":false,"family":"Weitemeyer","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":492822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Constable, Steven","contributorId":9178,"corporation":false,"usgs":false,"family":"Constable","given":"Steven","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":492820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, Jeffery J.","contributorId":98222,"corporation":false,"usgs":false,"family":"Roberts","given":"Jeffery","email":"","middleInitial":"J.","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":492823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70118788,"text":"70118788 - 2011 - Effects of hypoxia on consumption, growth, and RNA:DNA ratios of young Yellow Perch","interactions":[],"lastModifiedDate":"2014-07-30T12:37:09","indexId":"70118788","displayToPublicDate":"2011-01-01T12:35:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of hypoxia on consumption, growth, and RNA:DNA ratios of young Yellow Perch","docAbstract":"As in various freshwater and coastal marine ecosystems worldwide, seasonal bottom water hypoxia is a recurring\nphenomenon in Lake Erie’s central basin. While bottom hypoxia can strongly affect sessile benthic animals, its effects\non mobile organisms such as fish are less understood. We evaluated the potential for bottom hypoxia to affect the\ngrowth rates of yellow perch Perca flavescens, a species of ecological and economic importance in the lake. To this end,\nwe (1) conducted laboratory experiments to quantify the effects of reduced dissolved oxygen on consumption, somatic\ngrowth, and RNA:DNA ratios (an index of short-term growth) of young yellow perch and (2) explored the effects\nof bottom hypoxia on young yellow perch growth in Lake Erie’s central basin by collecting individuals in hypoxic and normoxic regions of the lake and quantifying their RNA:DNA ratios. Yellow perch consumption and growth in\nour experiments declined under hypoxic conditions (≤2 mg O2/L). While yellow perch RNA:DNA ratios responded\nstrongly to experimental temperature, nucleic acid ratios were not significantly affected by dissolved oxygen or feeding\nration. We did, however, observe a positive correlation between yellow perch growth and RNA:DNA ratios at low\ntemperatures (11◦C). The nucleic acid ratios of yellow perch collected in Lake Erie varied spatiotemporally, but\ntheir patterns were not consistent with hypoxia. In short, while yellow perch consumption and growth rates respond\ndirectly and negatively to low oxygen conditions, these responses are not necessarily reflected in RNA:DNA ratios.\nMoreover, in central Lake Erie, where yellow perch can behaviorally avoid hypoxic areas, the RNA:DNA ratios of\nyellow perch do not respond strongly to bottom hypoxia. Thus, this study suggests that there is no strong negative\neffect of bottom hypoxia on the growth of young yellow perch in Lake Erie.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2011.638576","usgsCitation":"Roberts, J., Brandt, S.B., Fanslow, D., Ludsin, S.A., Pothoven, S.A., Scavia, D., and Hook, T.O., 2011, Effects of hypoxia on consumption, growth, and RNA:DNA ratios of young Yellow Perch: Transactions of the American Fisheries Society, v. 140, no. 6, p. 1574-1586, https://doi.org/10.1080/00028487.2011.638576.","productDescription":"13 p.","startPage":"1574","endPage":"1586","numberOfPages":"13","costCenters":[],"links":[{"id":475049,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2027.42/141858","text":"External Repository"},{"id":291399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291398,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2011.638576"}],"volume":"140","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-12-07","publicationStatus":"PW","scienceBaseUri":"57fe7fd8e4b0824b2d147976","contributors":{"authors":[{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Stephen B.","contributorId":62970,"corporation":false,"usgs":true,"family":"Brandt","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":497230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fanslow, David","contributorId":28178,"corporation":false,"usgs":true,"family":"Fanslow","given":"David","affiliations":[],"preferred":false,"id":497229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ludsin, Stuart A.","contributorId":96978,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":497232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":497231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scavia, Donald","contributorId":19068,"corporation":false,"usgs":true,"family":"Scavia","given":"Donald","affiliations":[],"preferred":false,"id":497228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hook, Tomas O.","contributorId":108404,"corporation":false,"usgs":true,"family":"Hook","given":"Tomas","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":497233,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70118785,"text":"70118785 - 2011 - Seasonal and interannual effects of hypoxia on fish habitat quality in central Lake Erie","interactions":[],"lastModifiedDate":"2014-07-30T11:56:53","indexId":"70118785","displayToPublicDate":"2011-01-01T11:53:14","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and interannual effects of hypoxia on fish habitat quality in central Lake Erie","docAbstract":"1. Hypoxia occurs seasonally in many stratified coastal marine and freshwater ecosystems when bottom dissolved oxygen (DO) concentrations are depleted below 2–3 mg O2 L-1.
\n2. We evaluated the effects of hypoxia on fish habitat quality in the central basin of Lake Erie from 1987 to 2005, using bioenergetic growth rate potential (GRP) as a proxy for habitat quality. We compared the effect of hypoxia on habitat quality of (i) rainbow smelt, Osmerus mordax mordax Mitchill (young-of-year, YOY, and adult), a cold-water planktivore, (ii) emerald shiner, Notropis atherinoides Rafinesque (adult), a warm-water planktivore, (iii) yellow perch, Perca flavescens Mitchill (YOY and adult), a cool-water benthopelagic omnivore and (iv) round goby Neogobius melanostomus Pallas (adult) a eurythermal benthivore. Annual thermal and DO profiles were generated from 1D thermal and DO hydrodynamics models developed for Lake Erie’s central basin.
\n3. Hypoxia occurred annually, typically from mid-July to mid-October, which spatially and temporally overlaps with otherwise high benthic habitat quality. Hypoxia reduced the habitat quality across fish species and life stages, but the magnitude of the reduction varied both among and within species because of the differences in tolerance to low DO levels and warm-water temperatures.
\n4. Across years, trends in habitat quality mirrored trends in phosphorus concentration and water column oxygen demand in central Lake Erie. The per cent reduction in habitat quality owing to hypoxia was greatest for adult rainbow smelt and round goby (mean: -35%), followed by adult emerald shiner (mean: -12%), YOY rainbow smelt (mean: -10%) and YOY and adult yellow perch (mean: -8.5%).
\n5. Our results highlight the importance of differential spatiotemporally interactive effects of DO and temperature on relative fish habitat quality and quantity. These effects have the potential to influence the performance of individual fish species as well as population dynamics, trophic interactions and fish community structure.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/j.1365-2427.2010.02504.x","usgsCitation":"Arend, K.K., Beletsky, D., DePinto, J., Ludsin, S.A., Roberts, J., Rucinski, D.K., Scavia, D., Schwab, D.J., and Hook, T.O., 2011, Seasonal and interannual effects of hypoxia on fish habitat quality in central Lake Erie: Freshwater Biology, v. 56, p. 366-383, https://doi.org/10.1111/j.1365-2427.2010.02504.x.","productDescription":"18 p.","startPage":"366","endPage":"383","numberOfPages":"18","costCenters":[],"links":[{"id":475050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2027.42/79212","text":"External Repository"},{"id":291397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291396,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2010.02504.x"}],"country":"Canada;United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.397 ], [ -83.4797,42.907 ], [ -78.8539,42.907 ], [ -78.8539,41.397 ], [ -83.4797,41.397 ] ] ] } } ] }","volume":"56","noUsgsAuthors":false,"publicationDate":"2010-09-30","publicationStatus":"PW","scienceBaseUri":"57fe7fd8e4b0824b2d147978","contributors":{"authors":[{"text":"Arend, Kristin K.","contributorId":96598,"corporation":false,"usgs":true,"family":"Arend","given":"Kristin","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":497223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beletsky, Dmitry","contributorId":65390,"corporation":false,"usgs":true,"family":"Beletsky","given":"Dmitry","email":"","affiliations":[],"preferred":false,"id":497221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePinto, Joseph","contributorId":23861,"corporation":false,"usgs":true,"family":"DePinto","given":"Joseph","affiliations":[{"id":28133,"text":"Limno Tech, Inc., Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":497220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ludsin, Stuart A.","contributorId":96978,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":497224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":497218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rucinski, Daniel K.","contributorId":102801,"corporation":false,"usgs":true,"family":"Rucinski","given":"Daniel","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":497225,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scavia, Donald","contributorId":19068,"corporation":false,"usgs":true,"family":"Scavia","given":"Donald","affiliations":[],"preferred":false,"id":497219,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schwab, David J.","contributorId":71892,"corporation":false,"usgs":true,"family":"Schwab","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":497222,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hook, Tomas O.","contributorId":108404,"corporation":false,"usgs":true,"family":"Hook","given":"Tomas","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":497226,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70170464,"text":"70170464 - 2011 - Hydrologic effects of urbanization and climate change on the Flint River Basin, Georgia","interactions":[],"lastModifiedDate":"2019-06-21T14:52:35","indexId":"70170464","displayToPublicDate":"2011-01-01T11:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic effects of urbanization and climate change on the Flint River Basin, Georgia","docAbstract":"The potential effects of long-term urbanization and climate change on the freshwater resources of the Flint River basin were examined by using the Precipitation-Runoff Modeling System (PRMS). PRMS is a deterministic, distributed-parameter watershed model developed to evaluate the effects of various combinations of precipitation, temperature, and land cover on streamflow and multiple intermediate hydrologic states. Precipitation and temperature output from five general circulation models (GCMs) using one current and three future climate-change scenarios were statistically downscaled for input into PRMS. Projections of urbanization through 2050 derived for the Flint River basin by the Forecasting Scenarios of Future Land-Cover (FORE-SCE) land-cover change model were also used as input to PRMS. Comparison of the central tendency of streamflow simulated based on the three climate-change scenarios showed a slight decrease in overall streamflow relative to simulations under current conditions, mostly caused by decreases in the surface- runoff and groundwater components. The addition of information about forecasted urbanization of land surfaces to the hydrologic simulation mitigated the decreases in streamflow, mainly by increasing surface runoff.
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Center","active":true,"usgs":true}],"preferred":true,"id":627319,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047110,"text":"70047110 - 2011 - Analytical characterization of selective benthic flux components in estuarine and coastal waters","interactions":[],"lastModifiedDate":"2013-08-26T11:48:43","indexId":"70047110","displayToPublicDate":"2011-01-01T11:37:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Analytical characterization of selective benthic flux components in estuarine and coastal waters","docAbstract":"Benthic flux is the rate of flow across the bed of a water body, per unit area of bed. It is forced by component mechanisms, which interact. For example, pressure gradients across the bed, forced by tide, surface gravity waves, density gradients, bed–current interaction, turbulence, and terrestrial hydraulic gradients, drive an advective benthic flux of water and constituents between estuarine and coastal waters, and surficial aquifers. Other mechanisms also force benthic flux, such as chemical gradients, bioturbation, and dispersion. A suite of component mechanisms force a total benthic flux at any given location, where each member of the suite contributes a component benthic flux. Currently, the types and characteristics of component interactions are not fully understood. For example, components may interact linearly or nonlinearly, and the interaction may be constructive or destructive. Benthic flux is a surface water–groundwater interaction process. Its discharge component to a marine water body is referred to, in some literature, as submarine groundwater discharge. Benthic flux is important in characterizing water and constituent budgets of estuarine and coastal systems. Analytical models to characterize selective benthic flux components are reviewed. Specifically, these mechanisms are for the component associated with the groundwater tidal prism, and forced by surface gravity wave setup, surface gravity waves on a plane bed, and the terrestrial hydraulic gradient. Analytical models are applied to the Indian River Lagoon, Florida; Great South Bay, New York; and the South Atlantic Bight in South Carolina and portions of North Carolina.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Estuarine and Coastal Science","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-374711-2.00917-7","isbn":"9780080878850","usgsCitation":"King, J.N., 2011, Analytical characterization of selective benthic flux components in estuarine and coastal waters, chap. of Treatise on Estuarine and Coastal Science, v. 9, p. 397-423, https://doi.org/10.1016/B978-0-12-374711-2.00917-7.","productDescription":"27 p.","startPage":"397","endPage":"423","numberOfPages":"27","ipdsId":"IP-020601","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":276993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275146,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/B978-0-12-374711-2.00917-7"}],"country":"United States","state":"Florida;New York;North Carolina;South Carolina","otherGeospatial":"Great South Bay;Indian River Lagoon;South Atlantic Bight","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.83,27.7 ], [ -81.83,40.75 ], [ -72.93,40.75 ], [ -72.93,27.7 ], [ -81.83,27.7 ] ] ] } } ] }","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c78e2e4b01458f784290f","contributors":{"authors":[{"text":"King, Jeffrey N. jking@usgs.gov","contributorId":10783,"corporation":false,"usgs":true,"family":"King","given":"Jeffrey","email":"jking@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":false,"id":481079,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70154830,"text":"70154830 - 2011 - An evaluation of agreement between pectoral spines and otoliths for estimating ages of catfishes","interactions":[],"lastModifiedDate":"2015-08-21T10:32:38","indexId":"70154830","displayToPublicDate":"2011-01-01T11:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of agreement between pectoral spines and otoliths for estimating ages of catfishes","docAbstract":"Otoliths have been shown to provide more accurate ages than pectoral spine sections for several catfish populations; but sampling otoliths requires euthanizing the specimen, whereas spines can be sampled non-lethally. To evaluate whether, and under what conditions, spines provide the same or similar age estimates as otoliths, we examined data sets of individual fish aged from pectoral spines and otoliths for six blue catfish Ictalurus furcatus populations (n=420), 14 channel catfish Ictalurus punctatus populations (n=997), and 10 flathead catfish Pylodictus olivaris populations (n=947) from lotic and lentic waters throughout the central and eastern U.S. Logistic regression determined that agreement between ages estimated from otoliths and spines was consistently related to age, but inconsistently related to growth rate. When modeled at mean growth rate, we found at least 80% probability of no difference in spine- and otolith-assigned ages up to ages 4 and 5 for blue and channel catfish, respectively. For flathead catfish, an 80% probability of agreement between spine- and otolith-assigned ages did not occur at any age due to high incidence of differences in assigned ages even for age-1 fish. Logistic regression models predicted at least 80% probability that spine and otolith ages differed by ≤1 year up to ages 13, 16, and 9 for blue, channel, and flathead catfish, respectively. Age-bias assessment found mean spine-assigned age differed by less than 1 year from otolith-assigned age up to ages 19, 9, and 17 for blue catfish, channel catfish, and flathead catfish, respectively. These results can be used to help guide decisions about which structure is most appropriate for estimating catfish ages for particular populations and management objectives.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Olive, J., Schramm, H., Gerard, P., and Irwin, E., 2011, An evaluation of agreement between pectoral spines and otoliths for estimating ages of catfishes: American Fisheries Society Symposium, v. 77, p. 679-688.","productDescription":"10 p.","startPage":"679","endPage":"688","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024579","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":307109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307108,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.coopunits.org/Alabama/Research/Peer_Publications/2.7481231361E10/"}],"volume":"77","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84baee4b0518e3546efc9","contributors":{"authors":[{"text":"Olive, J.A.","contributorId":58080,"corporation":false,"usgs":true,"family":"Olive","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":569131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schramm, Harold Jr. hschramm@usgs.gov","contributorId":145495,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":569132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, E.","contributorId":95721,"corporation":false,"usgs":true,"family":"Irwin","given":"E.","email":"","affiliations":[],"preferred":false,"id":569133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70154901,"text":"70154901 - 2011 - Perceptions of fish habitat conditions in Oklahoma tailwater fisheries: a survey of fisheries managers","interactions":[],"lastModifiedDate":"2015-09-16T09:50:33","indexId":"70154901","displayToPublicDate":"2011-01-01T11:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3896,"text":"Proceedings of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Perceptions of fish habitat conditions in Oklahoma tailwater fisheries: a survey of fisheries managers","docAbstract":"While the downstream effects of dams on fish habitat have long been recognized, broad-scale assessments of tailwater fish habitat have rarely been conducted. In this paper, I report on the status of tailwater fisheries in Oklahoma as determined through a web-based survey of fisheries biologists with the Oklahoma Department of Wildlife Conservation conducted in July 2010. Respondents addressed 38 tailwaters, encompassing all major areas of the state. The majority of fish species comprising these fisheries included blue catfish (Ictalurus furcatus), followed by white bass (Morone chrysops), channel catfish (I. punctatus) and flathead catfish (Pylodictis olivaris). Most respondents indicated no or low concerns with fish habitat in tailwaters under their management supervision; only two tailwaters (Tenkiller Ferry and Fort Gibson) had the majority of concerns with fish habitat identified as high to moderately high. Principal components analysis and subsequent correlation analysis showed that tailwaters that scored high for issues related to shoreline erosion, change in water depth, flow fluctuations, and flow timing were associated with dams with large maximum discharge ability. No other factors related to fish habitat condition in tailwaters were found. In Oklahoma, dams with maximum discharge of at least 6,767.5 m3 sec–1 were more likely to have flow-related fish habitat concerns in the tailwater.
","conferenceLocation":"Columbia, SC","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","publisherLocation":"Columbia, SC","usgsCitation":"Long, J.M., 2011, Perceptions of fish habitat conditions in Oklahoma tailwater fisheries: a survey of fisheries managers: Proceedings of the Southeastern Association of Fish and Wildlife Agencies, v. 65, p. 119-124.","productDescription":"6 p.","startPage":"119","endPage":"124","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026544","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":307106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307105,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/html/proceedings/index.php?article=77199&key=2011&page=3#details"}],"volume":"65","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84bbae4b0518e3546f02e","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564328,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70236202,"text":"70236202 - 2011 - Stream-groundwater interactions","interactions":[],"lastModifiedDate":"2022-08-30T16:19:18.284986","indexId":"70236202","displayToPublicDate":"2011-01-01T11:17:41","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2.2","title":"Stream-groundwater interactions","docAbstract":"Streams and their surrounding catchments exchange water and solutes on a range of physical scales. Exchange with the stream may extend into the interstitial areas of the streambed, the hyporheic zone, the riparian area, or the catchment's groundwater flow system. Even at the smaller scales, the exchanges significantly influence solute transport, nutrient cycling, and the aquatic ecosystem. Over the recent decades, considerable attention has been given to the solute transport aspects of stream–groundwater interactions. Stream–groundwater interactions are now being recognized as practical matters to be considered in environmental issues, such as stream restoration and fish habitat. In this chapter, the emphasis is on introducing (1) the breadth of hydrologic interactions between streams and groundwater and (2) the importance of interpreting these interactions to understanding stream chemistry and ecology.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Water Science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-53199-5.00115-9","usgsCitation":"Bencala, K.E., 2011, Stream-groundwater interactions, chap. 2.2 of Treatise on Water Science, v. 2, p. 537-546, https://doi.org/10.1016/B978-0-444-53199-5.00115-9.","productDescription":"10 p.","startPage":"537","endPage":"546","costCenters":[],"links":[{"id":405918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":850289,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046872,"text":"70046872 - 2011 - Environmental influences on the occurrences of sepiolite and palygorskite: a brief review","interactions":[],"lastModifiedDate":"2013-08-26T11:25:03","indexId":"70046872","displayToPublicDate":"2011-01-01T11:17:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Environmental influences on the occurrences of sepiolite and palygorskite: a brief review","docAbstract":"Sepiolite is a hydrous magnesium silicate formed by precipitation of near-surface brackish or saline waters, under semi-arid climatic conditions. Four major influences on the distribution of sepiolite are source materials, climate, physical parameters and associated phase relations. Two major pathways governing the occurrence of sepiolite and palygorskite are direct precipitation from solution, and the transformation of precursor phases by dissolution–precipitation. Sepiolite is most commonly found as a result of the former process, whereas palygorskite is often characterized as a product of the latter. Thus, sepiolite typically occurs in lacustrine, often saline, strata, while palygorskite is commonly found in conjunction with soils, alluvium, or most abundantly, calcretes. Here, we review briefly some examples of sepiolite deposits in Spain, Turkey, Argentina, USA, and the African countries of Kenya, Morocco, Tunisia, Senegal, Somalia and South Africa.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in Clay Science","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-53607-5.00003-7","isbn":"9780444536075","usgsCitation":"Jones, B.F., and Conko, K.M., 2011, Environmental influences on the occurrences of sepiolite and palygorskite: a brief review, chap. of Developments in Clay Science, v. 3, p. 69-83, https://doi.org/10.1016/B978-0-444-53607-5.00003-7.","productDescription":"15 p.","startPage":"69","endPage":"83","numberOfPages":"15","ipdsId":"IP-023421","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":276988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276987,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/B978-0-444-53607-5.00003-7"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c78e6e4b01458f7842933","contributors":{"authors":[{"text":"Jones, Blair F. bfjones@usgs.gov","contributorId":2784,"corporation":false,"usgs":true,"family":"Jones","given":"Blair","email":"bfjones@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":480513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conko, Kathryn M. 0000-0001-6361-4921 kmconko@usgs.gov","orcid":"https://orcid.org/0000-0001-6361-4921","contributorId":2930,"corporation":false,"usgs":true,"family":"Conko","given":"Kathryn","email":"kmconko@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":480514,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046859,"text":"70046859 - 2011 - Water Use in Louisiana, 2010","interactions":[],"lastModifiedDate":"2016-02-05T11:00:57","indexId":"70046859","displayToPublicDate":"2011-01-01T10:28:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Water Use in Louisiana, 2010","docAbstract":"In 2010, approximately 8,500 million gallons per day (Mgal/d) of water was withdrawn from groundwater and surface-water sources in Louisiana. Total groundwater withdrawals were about 1,600 Mgal/d, and total surfacewater withdrawals were about 7,000 Mgal/d. From 2005 to 2010, groundwater withdrawals in Louisiana increased by 1.8 percent, and surface-water withdrawals decreased by 19 percent. Total water withdrawals in Louisiana decreased by 17 percent from 2005 to 2010. Water withdrawal totals in Mgal/d in 2010 for various categories of use were as follows: public supply-750, industry-2,100, power generation-4,400, rural domestic-41, livestock-8.0, rice irrigation-690, general irrigation-240, and aquaculture-300. From 2005 to 2010, changes in withdrawals, in percent, for the categories of use were as follows: public supply increased by 3.7, industry decreased by 33, power generation decreased by 14, rural domestic decreased by 6.1, livestock was unchanged, rice irrigation decreased by 13, general irrigation increased by 17, and aquaculture increased by 12. Forty-one percent (about 650 Mgal/d) of all groundwater was withdrawn from the Chicot aquifer system, and 25 percent (about 390 Mgal/d) was withdrawn from the Mississippi River alluvial aquifer. Since 2005, withdrawals from the Chicot aquifer system decreased by 2.1 percent, and withdrawals from the Mississippi River alluvial aquifer increased by 2.7 percent. About 72 percent (5,000 Mgal/d) of all surface water withdrawn was from the Mississippi River mainstem. This value represents a 24 percent decrease in withdrawals from 2005 to 2010.
","language":"English","publisher":"Louisiana Department of Transportation and Development","publisherLocation":"Baton Rouge, LA","usgsCitation":"Sargent, B.P., 2011, Water Use in Louisiana, 2010 (Revised December 2012), vii, 136 p.","productDescription":"vii, 136 p.","numberOfPages":"145","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034541","costCenters":[],"links":[{"id":277231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277230,"type":{"id":11,"text":"Document"},"url":"https://la.water.usgs.gov/publications/pdfs/WaterUse2010.pdf"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0431,28.9210 ], [ -94.0431,33.0195 ], [ -88.817,33.0195 ], [ -88.817,28.9210 ], [ -94.0431,28.9210 ] ] ] } } ] }","edition":"Revised December 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522747ebe4b01904cf5a81c8","contributors":{"authors":[{"text":"Sargent, B. Pierre 0000-0002-3967-9036 psargent@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-9036","contributorId":1228,"corporation":false,"usgs":true,"family":"Sargent","given":"B.","email":"psargent@usgs.gov","middleInitial":"Pierre","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480480,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}