{"pageNumber":"1341","pageRowStart":"33500","pageSize":"25","recordCount":184769,"records":[{"id":70135659,"text":"70135659 - 2014 - Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective","interactions":[],"lastModifiedDate":"2014-12-16T12:55:38","indexId":"70135659","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective","docAbstract":"Spring migration is a key part of the annual cycle for waterfowl populations in the northern hemisphere, due to its temporal proximity to the breeding season and because resources may be limited at one or more staging sites. Research based on field observations during spring lags behind other periods of the year, despite the potential for fitness consequences through diminished survival or cross-seasonal effects of conditions experienced during migration. Consequently, conservation strategies for waterfowl on spring migration are often only refined versions of practices used during autumn and winter. Here we discuss the current state of knowledge of habitat requirements for waterfowl at their spring migratory sites and the intrinsic and extrinsic factors that lead to variability in those requirements. The provision of plant foods has become the main conservation strategy during spring because of the birds’ energy requirements at this time, not only to fuel migration but to facilitate early clutch formation on arrival at the breeding grounds. Although energy sources are important to migrants, there is little evidence on the extent to which the availability of carbohydrate-based food is limiting for many migratory waterfowl populations. Such limitation is relatively unlikely among populations that exploit agricultural grain during migration (e.g. arctic-nesting geese), suggesting that conservation strategies for these populations may be misplaced. In general, however, we found few cases in which an ecological understanding of spring-migrating waterfowl was sufficient to indicate true resource limitation during migration, and still fewer cases where conservation efforts ameliorated these limitations. We propose a framework that aims to address knowledge gaps and apply empirical research results to conservation strategies based on documented limitations and associated fitness impacts on migrating waterfowl. Such a strategy would improve allocation of scarce conservation resources during spring migration and greatly improve ecological understanding of migratory waterfowl and their habitats in the northern hemisphere.
","language":"English","publisher":"Wildfowl Trust","usgsCitation":"Stafford, J.D., Janke, A.K., Anteau, M.J., Pearse, A.T., Fox, A.D., Elmberg, J., Straub, J.N., Eichholz, M., and Arzel, C., 2014, Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective: Wildfowl, v. 2014, no. 4, p. 70-85.","productDescription":"16 p.","startPage":"70","endPage":"85","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057341","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":296716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296687,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2603"}],"volume":"2014","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"549165d6e4b0d0759afaad9d","contributors":{"authors":[{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":536699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janke, Adam K. 0000-0003-2781-7857","orcid":"https://orcid.org/0000-0003-2781-7857","contributorId":130959,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","email":"","middleInitial":"K.","affiliations":[{"id":7176,"text":"Dept of Natl Res Mgmt, SDSU, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":536700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":536701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":536698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":536702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elmberg, Johan","contributorId":130961,"corporation":false,"usgs":false,"family":"Elmberg","given":"Johan","email":"","affiliations":[{"id":7178,"text":"Aquatic Biol and Chem, Kristianstad univ, Sweeden","active":true,"usgs":false}],"preferred":false,"id":536703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Straub, Jacob N.","contributorId":130962,"corporation":false,"usgs":false,"family":"Straub","given":"Jacob","email":"","middleInitial":"N.","affiliations":[{"id":7179,"text":"Ctr for Earth & Envir Sc, St Univ of NY-Plattsburgh, NY","active":true,"usgs":false}],"preferred":false,"id":536704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eichholz, Michael W.","contributorId":130963,"corporation":false,"usgs":false,"family":"Eichholz","given":"Michael W.","affiliations":[{"id":7180,"text":"Coop Wildlife Res Lab, Ctr for Ecology, S IL Univ Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":536705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arzel, Celine","contributorId":130964,"corporation":false,"usgs":false,"family":"Arzel","given":"Celine","email":"","affiliations":[{"id":7181,"text":"Section of Ecology, Ept of Biol, Univ of Turku, Finland","active":true,"usgs":false}],"preferred":false,"id":536706,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70134250,"text":"70134250 - 2014 - The destructive 1946 Unimak near-field tsunami: New evidence for a submarine slide source from reprocessed marine geophysical data","interactions":[],"lastModifiedDate":"2018-01-08T12:45:16","indexId":"70134250","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The destructive 1946 Unimak near-field tsunami: New evidence for a submarine slide source from reprocessed marine geophysical data","docAbstract":"The Mw 8.6 earthquake in 1946 off the Pacific shore of Unimak Island at the end of the Alaska Peninsula generated a far-field tsunami that crossed the Pacific to Antarctica. Its tsunami magnitude, 9.3, is comparable to the 9.1 magnitude of the 2011 Tohoku tsunami. On Unimak Island's Pacific shore, a runup of 42 m destroyed the lighthouse at Scotch Cap. Elsewhere, localized tsunamis with such high runups have been interpreted as caused by large submarine landslides. However, previous to this study, no landslide large enough to generate this runup was found in the area that is limited by the time interval between earthquake shaking and tsunami inundation at Scotch Cap. Reworking of a seismic reflection transect and colocated multibeam bathymetric surveys reveal a landslide block that may explain the 1946 high runup. It is seaward of Scotch Cap on the midslope terrace and within the time-limited area.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2014GL061759","usgsCitation":"von Huene, R.E., Kirby, S., Miller, J.J., and Dartnell, P., 2014, The destructive 1946 Unimak near-field tsunami: New evidence for a submarine slide source from reprocessed marine geophysical data: Geophysical Research Letters, v. 41, no. 19, p. 6811-6818, https://doi.org/10.1002/2014GL061759.","productDescription":"8 p.","startPage":"6811","endPage":"6818","ipdsId":"IP-057843","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":329284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"19","noUsgsAuthors":false,"publicationDate":"2014-10-06","publicationStatus":"PW","scienceBaseUri":"57f7efd6e4b0bc0bec09f3a0","contributors":{"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":525762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirby, Stephen","contributorId":89412,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","affiliations":[],"preferred":false,"id":525763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":525764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525761,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70140711,"text":"70140711 - 2014 - Photoperiod control of downstream movements of Atlantic salmon Salmo salar smolts","interactions":[],"lastModifiedDate":"2015-02-10T13:11:54","indexId":"70140711","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Photoperiod control of downstream movements of Atlantic salmon Salmo salar smolts","docAbstract":"This study provides the first direct observations that photoperiod controls the initiation of downstream movement in Atlantic salmon Salmo salar smolts. Under simulated natural day length (LDN) conditions and seasonal increases in temperature, smolts increased their downstream movements five-fold for a period of 1 month in late spring. Under the same conditions, parr did not show changes in downstream movement behaviour. When given a shortened day length (10L:14D) beginning in late winter, smolts did not increase the number of downstream movements. An early increase in day length (16L:8D) in late winter resulted in earlier initiation and termination of downstream movements compared to the LDN group. Physiological status and behaviour were related but not completely coincident: gill Na+/K+-ATPase activity increased in all treatments and thyroid hormone was elevated prior to movement in 16L:8D treatment. The most parsimonious model describing downstream movement of smolts included synergistic effects of photoperiod treatment and temperature, indicating that peak movements occurred at colder temperatures in the 16L:8D treatment than in LDN, and temperature did not influence movement of smolts in the 10L:14D treatment. The complicated interactions of photoperiod and temperature are not surprising since many organisms have evolved to rely on correlations among environmental cues and windows of opportunity to time behaviours associated with life-history transitions. These complicated interactions, however, have serious implications for phenological adjustments and persistence ofS. salar populations in response to climate change.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.12509","usgsCitation":"Zydlewski, G., Stich, D.S., and McCormick, S., 2014, Photoperiod control of downstream movements of Atlantic salmon Salmo salar smolts: Journal of Fish Biology, v. 85, p. 1023-1041, https://doi.org/10.1111/jfb.12509.","productDescription":"19 p.","startPage":"1023","endPage":"1041","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055595","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":297899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-26","publicationStatus":"PW","scienceBaseUri":"54dd2c24e4b08de9379b365e","chorus":{"doi":"10.1111/jfb.12509","url":"http://dx.doi.org/10.1111/jfb.12509","publisher":"Wiley-Blackwell","authors":"Zydlewski G. B., Stich D. S., McCormick S. D.","journalName":"Journal of Fish Biology","publicationDate":"9/26/2014"},"contributors":{"authors":[{"text":"Zydlewski, Gayle B.","contributorId":139211,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle B.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":540364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":540365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139201,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540363,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70140113,"text":"70140113 - 2014 - Vegetation dynamics after spring and summer fires in red and white pine stands at Voyageurs National Park","interactions":[],"lastModifiedDate":"2015-02-04T12:47:05","indexId":"70140113","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation dynamics after spring and summer fires in red and white pine stands at Voyageurs National Park","docAbstract":"Conducting dormant season or springtime prescribed fire treatments has become a common practice in many regions of the United States to restore ecosystems to their natural state. Despite the knowledge that historically, fires often occurred during the summer, the application of summer burns has been deterred, in part, by a lack of understanding of fire season effects on vegetation. We explored the differences in fire effects between spring and summer burns at Voyageurs National Park, Minnesota. The fire season effects on the ground layer vegetation were clearly different among the treatments: pre-burn, spring, and summer. Vegetation composition of pre-burn and after spring fires was similar, but differed significantly from the summer fires. Spring fires propagated the same species that were present prior to the fire, whereas summer fires promoted a new suite of species through the germination of seedbank and high seed dispersal species. Cover and richness of seed bank and intolerant species were greatest after the summer fires, which contributed to the peak in richness found across all reproductive and tolerance attributes five years after these fires. Post summer fire composition showed shifts in composition through time. Substantial differences in the effects of burn seasonality on ground layer vegetation should be considered in long term restoration efforts to help maintain species diversity in red and white pine forest ecosystems.
","language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.034.0406","usgsCitation":"Weyenberg, S.A., and Pavlovic, N.B., 2014, Vegetation dynamics after spring and summer fires in red and white pine stands at Voyageurs National Park: Natural Areas Journal, v. 34, no. 4, p. 443-458, https://doi.org/10.3375/043.034.0406.","productDescription":"16 p.","startPage":"443","endPage":"458","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049005","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3375/043.034.0406","text":"Publisher Index Page"},{"id":297732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.89764404296875,\n 48.44332281905886\n ],\n [\n -92.89764404296875,\n 48.51910588524507\n ],\n [\n -92.67105102539061,\n 48.51910588524507\n ],\n [\n -92.67105102539061,\n 48.44332281905886\n ],\n [\n -92.89764404296875,\n 48.44332281905886\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c83e4b08de9379b384f","contributors":{"authors":[{"text":"Weyenberg, Scott A.","contributorId":139026,"corporation":false,"usgs":false,"family":"Weyenberg","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":539805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":539804,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70140692,"text":"70140692 - 2014 - Migratory patterns of hatchery and stream-reared Atlantic salmon Salmo salar smolts in the Connecticut River, U.S.A.","interactions":[],"lastModifiedDate":"2015-02-10T11:28:17","indexId":"70140692","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Migratory patterns of hatchery and stream-reared Atlantic salmon Salmo salar smolts in the Connecticut River, U.S.A.","docAbstract":"The timing of downstream migration and detection rates of hatchery-reared Atlantic salmon Salmo salar smolts and stream-reared smolts (stocked 2 years earlier as fry) were examined in the Connecticut River (U.S.A.) using passive integrated transponder (PIT) tags implanted into fish and then detected at a downstream fish bypass collection facility at Turners Falls, MA (river length 192 km). In two successive years, hatchery-reared smolts were released in mid-April and early May at two sites: the West River (river length 241 km) or the Passumpsic (river length 450 km). Hatchery-reared smolts released higher in the catchment arrived 7 to 14 days later and had significantly lower detection rates than smolts stocked lower in the catchment. Hatchery-reared smolts released 3 weeks apart at the same location were detected downstream at similar times, indicating that early-release smolts had a lower average speed after release and longer residence time. The size and gill Na+/K+-ATPase (NKA) activity of smolts at the time of release were significantly greater for detected fish (those that survived and migrated) than for those that were not detected. Stream-reared pre-smolts (>11·5 cm) from four tributaries (length 261–551 km) were tagged in autumn and detected during smolt migration the following spring. Stream-reared smolts higher in the catchment arrived later and had significantly lower detection rates. The results indicate that both hatchery and stream-reared smolts from the upper catchment will arrive at the mouth of the river later and experience higher overall mortality than fish from lower reaches, and that both size and gill NKA activity are related to survival during downstream migration.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.12532","usgsCitation":"McCormick, S., Haro, A., Lerner, D.T., O’Dea, M.F., and Regish, A.M., 2014, Migratory patterns of hatchery and stream-reared Atlantic salmon Salmo salar smolts in the Connecticut River, U.S.A.: Journal of Fish Biology, v. 85, no. 4, p. 1005-1022, https://doi.org/10.1111/jfb.12532.","productDescription":"18 p.","startPage":"1005","endPage":"1022","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054890","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":297889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, Rhode Island, Vermont","otherGeospatial":"Connecticut River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.059326171875,\n 45.00365115687189\n ],\n [\n -73.465576171875,\n 41.071069130806414\n ],\n [\n -72.191162109375,\n 41.31907562295136\n ],\n [\n -70.938720703125,\n 45.30580259943578\n ],\n [\n -72.059326171875,\n 45.00365115687189\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-26","publicationStatus":"PW","scienceBaseUri":"54dd2bfde4b08de9379b35cf","contributors":{"authors":[{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":2197,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":540310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lerner, Darren T.","contributorId":23043,"corporation":false,"usgs":false,"family":"Lerner","given":"Darren","email":"","middleInitial":"T.","affiliations":[{"id":7212,"text":"University of Hawai‘i, Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":540311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Dea, Michael F. modea@usgs.gov","contributorId":5417,"corporation":false,"usgs":true,"family":"O’Dea","given":"Michael","email":"modea@usgs.gov","middleInitial":"F.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":540312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":540313,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173513,"text":"70173513 - 2014 - Body morphology differs in wild juvenile Chinook salmon Oncorhynchus tshawytscha in the Willamette River, Oregon, USA","interactions":[],"lastModifiedDate":"2016-06-16T15:27:27","indexId":"70173513","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Body morphology differs in wild juvenile Chinook salmon Oncorhynchus tshawytscha in the Willamette River, Oregon, USA","docAbstract":"Body morphology of juvenile Chinook salmon Oncorhynchus tshawytscha in the upper Willamette River, Oregon, U.S.A., was analysed to determine if variation in body shape is correlated with migratory life-history tactics followed by juveniles. Body shape was compared between migrating juveniles that expressed different life-history tactics, i.e. autumn migrants and yearling smolts, and among parr sampled at three sites along a longitudinal river gradient. In the upper Willamette River, the expression of life-history tactics is associated with where juveniles rear in the basin with fish rearing in downstream locations generally completing ocean ward migrations earlier in life than fish rearing in upstream locations. The morphological differences that were apparent between autumn migrants and yearling smolts were similar to differences between parr rearing in downstream and upstream reaches, indicating that body morphology is correlated with life-history tactics. Autumn migrants and parr from downstream sampling sites had deeper bodies, shorter heads and deeper caudal peduncles compared with yearling smolts and parr from the upstream sampling site. This study did not distinguish between genetic and environmental effects on morphology; however, the results suggest that downstream movement of juveniles soon after emergence is associated with differentiation in morphology and with the expression of life-history variation.
","language":"English","publisher":"Academic Press","publisherLocation":"London, England","doi":"10.1111/jfb.12482","usgsCitation":"Billman, E., Whitman, L., Schroeder, R., Sharpe, C., Noakes, D., and Schreck, C.B., 2014, Body morphology differs in wild juvenile Chinook salmon Oncorhynchus tshawytscha in the Willamette River, Oregon, USA: Journal of Fish Biology, v. 85, no. 4, p. 1097-1110, https://doi.org/10.1111/jfb.12482.","productDescription":"14 p.","startPage":"1097","endPage":"1110","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052731","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.12482","text":"Publisher Index Page"},{"id":323784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.255615234375,\n 43.23719944365308\n ],\n [\n -123.255615234375,\n 45.62940492064501\n ],\n [\n -121.7449951171875,\n 45.62940492064501\n ],\n [\n -121.7449951171875,\n 43.23719944365308\n ],\n [\n -123.255615234375,\n 43.23719944365308\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-31","publicationStatus":"PW","scienceBaseUri":"5763cdafe4b07657d19ba754","contributors":{"authors":[{"text":"Billman, E.J.","contributorId":172038,"corporation":false,"usgs":false,"family":"Billman","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":639398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, L.D.","contributorId":172030,"corporation":false,"usgs":false,"family":"Whitman","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":639399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schroeder, R.K.","contributorId":172015,"corporation":false,"usgs":false,"family":"Schroeder","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":639372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharpe, C.S.","contributorId":103817,"corporation":false,"usgs":true,"family":"Sharpe","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":639377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noakes, David L. G.","contributorId":146933,"corporation":false,"usgs":false,"family":"Noakes","given":"David L. G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":639373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637225,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70159345,"text":"70159345 - 2014 - Probabilistic estimation of dune retreat on the Gold Coast, Australia","interactions":[],"lastModifiedDate":"2018-03-15T12:46:10","indexId":"70159345","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3385,"text":"Shore & Beach","printIssn":"0037-4237","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic estimation of dune retreat on the Gold Coast, Australia","docAbstract":"Sand dunes are an important natural buffer between storm impacts and development backing the beach on the Gold Coast of Queensland, Australia. The ability to forecast dune erosion at a prediction horizon of days to a week would allow efficient and timely response to dune erosion in this highly populated area. Towards this goal, we modified an existing probabilistic dune erosion model for use on the Gold Coast. The original model was trained using observations of dune response from Hurricane Ivan on Santa Rosa Island, Florida, USA (Plant and Stockdon 2012. Probabilistic prediction of barrier-island response to hurricanes, Journal of Geophysical Research, 117(F3), F03015). The model relates dune position change to pre-storm dune elevations, dune widths, and beach widths, along with storm surge and run-up using a Bayesian network. The Bayesian approach captures the uncertainty of inputs and predictions through the conditional probabilities between variables. Three versions of the barrier island response Bayesian network were tested for use on the Gold Coast. One network has the same structure as the original and was trained with the Santa Rosa Island data. The second network has a modified design and was trained using only pre- and post-storm data from 1988-2009 for the Gold Coast. The third version of the network has the same design as the second version of the network and was trained with the combined data from the Gold Coast and Santa Rosa Island. The two networks modified for use on the Gold Coast hindcast dune retreat with equal accuracy. Both networks explained 60% of the observed dune retreat variance, which is comparable to the skill observed by Plant and Stockdon (2012) in the initial Bayesian network application at Santa Rosa Island. The new networks improved predictions relative to application of the original network on the Gold Coast. Dune width was the most important morphologic variable in hindcasting dune retreat, while hydrodynamic variables, surge and run-up elevation, were also important
","language":"English","publisher":"American Shore and Beach Preservation Association (ASBPA)","usgsCitation":"Palmsten, M.L., Splinter, K.D., Plant, N.G., and Stockdon, H.F., 2014, Probabilistic estimation of dune retreat on the Gold Coast, Australia: Shore & Beach, v. 82, no. 4, p. 35-43.","productDescription":"9 p.","startPage":"35","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059175","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":310746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328830,"type":{"id":15,"text":"Index Page"},"url":"https://asbpa.org/publications/shore-and-beach/"}],"country":"Australia","state":"Queensland","otherGeospatial":"Gold Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 151.98486328125,\n -28.786918085420226\n ],\n [\n 151.98486328125,\n -24.567108352575975\n ],\n [\n 153.885498046875,\n -24.567108352575975\n ],\n [\n 153.885498046875,\n -28.786918085420226\n ],\n [\n 151.98486328125,\n -28.786918085420226\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334340e4b048076347eeda","contributors":{"authors":[{"text":"Palmsten, Margaret L.","contributorId":149363,"corporation":false,"usgs":false,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":17718,"text":"Naval Research Laboratory, Stennis Space Center","active":true,"usgs":false}],"preferred":false,"id":578103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Splinter, Kristen D.","contributorId":147358,"corporation":false,"usgs":false,"family":"Splinter","given":"Kristen","email":"","middleInitial":"D.","affiliations":[{"id":16827,"text":"UNSW Australia","active":true,"usgs":false}],"preferred":false,"id":578104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":578102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":578105,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193632,"text":"70193632 - 2014 - Straddling the tholeiitic/calc-alkaline transition: The effects of modest amounts of water on magmatic differentiation at Newberry Volcano, Oregon","interactions":[],"lastModifiedDate":"2019-03-11T13:47:50","indexId":"70193632","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Straddling the tholeiitic/calc-alkaline transition: The effects of modest amounts of water on magmatic differentiation at Newberry Volcano, Oregon","docAbstract":"Melting experiments have been performed at 1 bar (anhydrous) and 1- and 2-kbar H2O-saturated conditions to study the effect of water on the differentiation of a basaltic andesite. The starting material was a mafic pumice from the compositionally zoned tuff deposited during the ~75 ka caldera-forming eruption of Newberry Volcano, a rear-arc volcanic center in the central Oregon Cascades. Pumices in the tuff of Newberry caldera (TNC) span a continuous silica range from 53 to 74 wt% and feature an unusually high-Na2O content of 6.5 wt% at 67 wt% SiO2. This wide range of magmatic compositions erupted in a single event makes the TNC an excellent natural laboratory in which to study the conditions of magmatic differentiation. Our experimental results and mineral–melt hygrometers/thermometers yield similar estimates of pre-eruptive H2O contents and temperatures of the TNC liquids. The most primitive (mafic) basaltic andesites record a pre-eruptive H2O content of 1.5 wt% and a liquidus temperature of 1,060–1,070 °C at upper crustal pressure. This modest H2O content produces a distinctive fractionation trend that is much more enriched in Na, Fe, and Ti than the calc-alkaline trend typical of wetter arc magmas, but slightly less enriched in Fe and Ti than the tholeiitic trend of dry magmas. Modest H2O contents might be expected at Newberry Volcano given its location in the Cascade rear arc, and the same fractionation trend is also observed in the rim andesites of the rear-arc Medicine Lake volcano in the southern Cascades. However, the Na–Fe–Ti enrichment characteristic of modest H2O (1–2 wt%) is also observed to the west of Newberry in magmas erupted from the arc axis, such as the Shevlin Park Tuff and several lava flows from the Three Sisters. This shows that modest-H2O magmas are being generated directly beneath the arc axis as well as in the rear arc. Because liquid lines of descent are particularly sensitive to water content in the range of 0–3 wt% H2O, they provide a quantitative and reliable tool for precisely determining pre-eruptive H2O content using major-element data from pumices or lava flows. Coupled enrichment in Na, Fe, and Ti relative to the calc-alkaline trend is a general feature of fractional crystallization in the presence of modest amounts of H2O, which may be used to look for “damp” fractionation sequences elsewhere.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-014-1066-7","usgsCitation":"Mandler, B.E., Donnelly-Nolan, J.M., and Grove, T.L., 2014, Straddling the tholeiitic/calc-alkaline transition: The effects of modest amounts of water on magmatic differentiation at Newberry Volcano, Oregon: Contributions to Mineralogy and Petrology, v. 168, Article 1066; 25 p., https://doi.org/10.1007/s00410-014-1066-7.","productDescription":"Article 1066; 25 p.","ipdsId":"IP-060074","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Newberry Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.28047943115236,\n 43.69915480258559\n ],\n [\n -121.19327545166016,\n 43.69989944167303\n ],\n [\n -121.19327545166016,\n 43.739352079154706\n ],\n [\n -121.27841949462889,\n 43.73736766145917\n ],\n [\n -121.28047943115236,\n 43.69915480258559\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"168","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-01","publicationStatus":"PW","scienceBaseUri":"59fc2eaae4b0531197b27fa1","contributors":{"authors":[{"text":"Mandler, Ben E.","contributorId":199667,"corporation":false,"usgs":false,"family":"Mandler","given":"Ben","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donnelly-Nolan, Julie M. 0000-0001-8714-9606 jdnolan@usgs.gov","orcid":"https://orcid.org/0000-0001-8714-9606","contributorId":3271,"corporation":false,"usgs":true,"family":"Donnelly-Nolan","given":"Julie","email":"jdnolan@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grove, Timothy L.","contributorId":193070,"corporation":false,"usgs":false,"family":"Grove","given":"Timothy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":719686,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186694,"text":"70186694 - 2014 - Mineral resource of the month: Vermiculite","interactions":[],"lastModifiedDate":"2017-04-07T13:04:07","indexId":"70186694","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Vermiculite","docAbstract":"Vermiculite comprises a group of hydrated, laminar magnesium-aluminum-iron silicate minerals resembling mica. They are secondary minerals, typically altered biotite, iron-rich phlogopite or other micas or clay-like minerals that are themselves sometimes alteration products of amphibole, chlorite, olivine and pyroxene. Vermiculite deposits are associated with volcanic ultramafic rocks rich in magnesium silicate minerals, and flakes of the mineral range in color from black to shades of brown and yellow. The crystal structure of vermiculite contains water molecules, a property that is critical to its processing for common uses.
","language":"English","publisher":"AGI","usgsCitation":"Tanner, A.O., 2014, Mineral resource of the month: Vermiculite: Earth, v. October 2014, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-058027","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339408,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-vermiculite"}],"volume":"October 2014","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a545e4b09da6799d63b3","contributors":{"authors":[{"text":"Tanner, Arnold O. atanner@usgs.gov","contributorId":524,"corporation":false,"usgs":true,"family":"Tanner","given":"Arnold","email":"atanner@usgs.gov","middleInitial":"O.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690301,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70154893,"text":"70154893 - 2014 - Spatial structuring within a reservoir fish population: implications for management","interactions":[],"lastModifiedDate":"2015-07-15T11:52:50","indexId":"70154893","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial structuring within a reservoir fish population: implications for management","docAbstract":"Spatial structuring in reservoir fish populations can exist because of environmental gradients, species-specific behaviour, or even localised fishing effort. The present study investigated whether white crappie exhibited evidence of improved population structure where the northern more productive half of a lake is closed to fishing to provide waterfowl hunting opportunities. Population response to angling was modelled for each substock of white crappie (north (protected) and south (unprotected) areas), the entire lake (single-stock model) and by combining simulations of the two independent substock models (additive model). White crappie in the protected area were more abundant, consisting of larger, older individuals, and exhibited a lower total annual mortality rate than in the unprotected area. Population modelling found that fishing mortality rates between 0.1 and 0.3 resulted in sustainable populations (spawning potential ratios (SPR) >0.30). The population in the unprotected area appeared to be more resilient (SPR > 0.30) at the higher fishing intensities (0.35–0.55). Considered additively, the whole-lake fishery appeared more resilient than when modelled as a single-panmictic stock. These results provided evidence of spatial structuring in reservoir fish populations, and we recommend model assessments used to guide management decisions should consider those spatial differences in other populations where they exist.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF14085","usgsCitation":"Stewart, D., Long, J.M., and Shoup, D.E., 2014, Spatial structuring within a reservoir fish population: implications for management: Marine and Freshwater Research, v. 66, no. 3, p. 202-212, https://doi.org/10.1071/MF14085.","productDescription":"11 p.","startPage":"202","endPage":"212","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054699","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a78439e4b0183d66e45e98","contributors":{"authors":[{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":564861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":564320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564862,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168384,"text":"70168384 - 2014 - Transdisciplinary application of the cross-scale resilience model","interactions":[],"lastModifiedDate":"2016-02-11T12:57:03","indexId":"70168384","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Transdisciplinary application of the cross-scale resilience model","docAbstract":"The cross-scale resilience model was developed in ecology to explain the emergence of resilience from the distribution of ecological functions within and across scales, and as a tool to assess resilience. We propose that the model and the underlying discontinuity hypothesis are relevant to other complex adaptive systems, and can be used to identify and track changes in system parameters related to resilience. We explain the theory behind the cross-scale resilience model, review the cases where it has been applied to non-ecological systems, and discuss some examples of social-ecological, archaeological/ anthropological, and economic systems where a cross-scale resilience analysis could add a quantitative dimension to our current understanding of system dynamics and resilience. We argue that the scaling and diversity parameters suitable for a resilience analysis of ecological systems are appropriate for a broad suite of systems where non-normative quantitative assessments of resilience are desired. Our planet is currently characterized by fast environmental and social change, and the cross-scale resilience model has the potential to quantify resilience across many types of complex adaptive systems.
","language":"English","publisher":"MDPI","doi":"10.3390/su6106925","usgsCitation":"Sundstrom, S.M., Angeler, D., Garmestani, A.S., Garcia, J.H., and Allen, C.R., 2014, Transdisciplinary application of the cross-scale resilience model: Sustainability, v. 6, no. 10, p. 6925-6948, https://doi.org/10.3390/su6106925.","productDescription":"24 p.","startPage":"6925","endPage":"6948","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059658","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su6106925","text":"Publisher Index Page"},{"id":317953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-02","publicationStatus":"PW","scienceBaseUri":"56bdbed1e4b06458514aeeef","contributors":{"authors":[{"text":"Sundstrom, Shana M.","contributorId":7159,"corporation":false,"usgs":true,"family":"Sundstrom","given":"Shana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":619930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":619931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":619932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Jorge H.","contributorId":91714,"corporation":false,"usgs":true,"family":"Garcia","given":"Jorge","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":619933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":619843,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70154894,"text":"70154894 - 2014 - Effect of bait and gear type on channel catfish catch and turtle bycatch in a reservoir","interactions":[],"lastModifiedDate":"2015-08-10T14:55:00","indexId":"70154894","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of bait and gear type on channel catfish catch and turtle bycatch in a reservoir","docAbstract":"Hoop nets have become the preferred gear choice to sample channel catfish Ictalurus punctatus but the degree of bycatch can be high, especially due to the incidental capture of aquatic turtles. While exclusion and escapement devices have been developed and evaluated, few have examined bait choice as a method to reduce turtle bycatch. The use of Zote™ soap has shown considerable promise to reduce bycatch of aquatic turtles when used with trotlines but its effectiveness in hoop nets has not been evaluated. We sought to determine the effectiveness of hoop nets baited with cheese bait or Zote™ soap and trotlines baited with shad or Zote™ soap as a way to sample channel catfish and prevent capture of aquatic turtles. We used a repeated-measures experimental design and treatment combinations were randomly assigned using a Latin-square arrangement. Eight sampling locations were systematically selected and then sampled with either hoop nets or trotlines using Zote™ soap (both gears), waste cheese (hoop nets), or cut shad (trotlines). Catch rates did not statistically differ among the gear–bait-type combinations. Size bias was evident with trotlines consistently capturing larger sized channel catfish compared to hoop nets. Results from a Monte Carlo bootstrapping procedure estimated the number of samples needed to reach predetermined levels of sampling precision to be lowest for trotlines baited with soap. Moreover, trotlines baited with soap caught no aquatic turtles, while hoop nets captured many turtles and had high mortality rates. We suggest that Zote™ soap used in combination with multiple hook sizes on trotlines may be a viable alternative to sample channel catfish and reduce bycatch of aquatic turtles.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2014.966165","usgsCitation":"Cartabiano, E.C., Stewart, D., and Long, J.M., 2014, Effect of bait and gear type on channel catfish catch and turtle bycatch in a reservoir: Journal of Freshwater Ecology, v. 30, no. 3, p. 407-415, https://doi.org/10.1080/02705060.2014.966165.","productDescription":"9 p.","startPage":"407","endPage":"415","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054701","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2014.966165","text":"Publisher Index Page"},{"id":305758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Lake McMurty","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.21389770507812,\n 36.16116173423654\n ],\n [\n -97.21389770507812,\n 36.21214722153981\n ],\n [\n -97.16377258300781,\n 36.21214722153981\n ],\n [\n -97.16377258300781,\n 36.16116173423654\n ],\n [\n -97.21389770507812,\n 36.16116173423654\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-06","publicationStatus":"PW","scienceBaseUri":"55a78434e4b0183d66e45e81","contributors":{"authors":[{"text":"Cartabiano, Evan C.","contributorId":145638,"corporation":false,"usgs":false,"family":"Cartabiano","given":"Evan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":564859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":564860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":564321,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70140691,"text":"70140691 - 2014 - Development of intestinal ion-transporting mechanisms during smoltification and seawater acclimation in Atlantic salmon Salmo salar","interactions":[],"lastModifiedDate":"2015-02-10T11:42:17","indexId":"70140691","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Development of intestinal ion-transporting mechanisms during smoltification and seawater acclimation in Atlantic salmon Salmo salar","docAbstract":"This study investigated the expression of ion transporters involved in intestinal fluid absorption and presents evidence for developmental changes in abundance and tissue distribution of these transporters during smoltification and seawater (SW) acclimation of Atlantic salmonSalmo salar. Emphasis was placed on Na+, K+-ATPase (NKA) and Na+, K+, Cl− co-transporter (NKCC) isoforms, at both transcriptional and protein levels, together with transcription of chloride channel genes. The nka α1c was the dominant isoform at the transcript level in both proximal and distal intestines; also, it was the most abundant isoform expressed in the basolateral membrane of enterocytes in the proximal intestine. This isoform was also abundantly expressed in the distal intestine in the lower part of the mucosal folds. The protein expression of intestinal Nkaα1c increased during smoltification. Immunostaining was localized to the basal membrane of the enterocytes in freshwater (FW) fish, and re-distributed to a lateral position after SW entry. Two other Nka isoforms, α1a and α1b, were expressed in the intestine but were not regulated to the same extent during smoltification and subsequent SW transfer. Their localization in the intestinal wall indicates a house-keeping function in excitatory tissues. The absorptive form of the NKCC-like isoform (sub-apically located NKCC2 and/or Na+, Cl−co-transporter) increased during smoltification and further after SW transfer. The cellular distribution changed from a diffuse expression in the sub-apical regions during smoltification to clustering of the transporters closer to the apical membrane after entry to SW. Furthermore, transcript abundance indicates that the mechanisms necessary for exit of chloride ions across the basolateral membrane and into the lateral intercellular space are present in the form of one or more of three different chloride channels: cystic fibrosis transmembrane conductance regulator I and II and chloride channel 3.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.12531","usgsCitation":"Sundh, H., Nilsen, T., Lindstrom, J., Hasselberg-Frank, L., Stefansson, S.O., McCormick, S., and Sundell, K., 2014, Development of intestinal ion-transporting mechanisms during smoltification and seawater acclimation in Atlantic salmon Salmo salar: Journal of Fish Biology, v. 85, no. 4, p. 1227-1252, https://doi.org/10.1111/jfb.12531.","productDescription":"26 p.","startPage":"1227","endPage":"1252","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054792","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":297890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-26","publicationStatus":"PW","scienceBaseUri":"54dd2b74e4b08de9379b33a1","contributors":{"authors":[{"text":"Sundh, Henrik","contributorId":139197,"corporation":false,"usgs":false,"family":"Sundh","given":"Henrik","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":540308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nilsen, Tom O.","contributorId":98106,"corporation":false,"usgs":false,"family":"Nilsen","given":"Tom O.","affiliations":[],"preferred":false,"id":540314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindstrom, Jenny","contributorId":139199,"corporation":false,"usgs":false,"family":"Lindstrom","given":"Jenny","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":540315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hasselberg-Frank, Linda","contributorId":139200,"corporation":false,"usgs":false,"family":"Hasselberg-Frank","given":"Linda","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":540316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stefansson, Sigurd O.","contributorId":13857,"corporation":false,"usgs":true,"family":"Stefansson","given":"Sigurd","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":540317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":2197,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540307,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sundell, K.","contributorId":90909,"corporation":false,"usgs":true,"family":"Sundell","given":"K.","email":"","affiliations":[],"preferred":false,"id":540318,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192935,"text":"70192935 - 2014 - Distribution, stock composition and timing, and tagging response of wild Chinook Salmon returning to a large, free-flowing river basin","interactions":[],"lastModifiedDate":"2017-11-07T12:59:22","indexId":"70192935","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","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":"Distribution, stock composition and timing, and tagging response of wild Chinook Salmon returning to a large, free-flowing river basin","docAbstract":"Chinook Salmon Oncorhynchus tshawytscha returns to the Yukon River basin have declined dramatically since the late 1990s, and detailed information on the spawning distribution, stock structure, and stock timing is needed to better manage the run and facilitate conservation efforts. A total of 2,860 fish were radio-tagged in the lower basin during 2002–2004 and tracked upriver. Fish traveled to spawning areas throughout the basin, ranging from several hundred to over 3,000 km from the tagging site. Similar distribution patterns were observed across years, suggesting that the major components of the run were identified. Daily and seasonal composition estimates were calculated for the component stocks. The run was dominated by two regional components comprising over 70% of the return. Substantially fewer fish returned to other areas, ranging from 2% to 9% of the return, but their collective contribution was appreciable. Most regional components consisted of several principal stocks and a number of small, spatially isolated populations. Regional and stock composition estimates were similar across years even though differences in run abundance were reported, suggesting that the differences in abundance were not related to regional or stock-specific variability. Run timing was relatively compressed compared with that in rivers in the southern portion of the species’ range. Most stocks passed through the lower river over a 6-week period, ranging in duration from 16 to 38 d. Run timing was similar for middle- and upper-basin stocks, limiting the use of timing information for management. The lower-basin stocks were primarily later-run fish. Although differences were observed, there was general agreement between our composition and timing estimates and those from other assessment projects within the basin, suggesting that the telemetry-based estimates provided a plausible approximation of the return. However, the short duration of the run, complex stock structure, and similar stock timing complicate management of Yukon River returns.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.959997","usgsCitation":"Eiler, J.H., Masuda, M., Spencer, T.R., Driscoll, R.J., and Schreck, C.B., 2014, Distribution, stock composition and timing, and tagging response of wild Chinook Salmon returning to a large, free-flowing river basin: Transactions of the American Fisheries Society, v. 143, no. 6, p. 1476-1507, https://doi.org/10.1080/00028487.2014.959997.","productDescription":"32 p.","startPage":"1476","endPage":"1507","ipdsId":"IP-057305","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon Territory","otherGeospatial":"Yukon River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -166.1572265625,\n 61.270232790000634\n ],\n [\n -132.8466796875,\n 61.270232790000634\n ],\n [\n -132.8466796875,\n 67.92514047803861\n ],\n [\n -166.1572265625,\n 67.92514047803861\n ],\n [\n -166.1572265625,\n 61.270232790000634\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-13","publicationStatus":"PW","scienceBaseUri":"5a07ecf5e4b09af898c8cd3a","contributors":{"authors":[{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":720943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masuda, Michele","contributorId":24280,"corporation":false,"usgs":true,"family":"Masuda","given":"Michele","email":"","affiliations":[],"preferred":false,"id":720944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Ted R.","contributorId":200091,"corporation":false,"usgs":false,"family":"Spencer","given":"Ted","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":720945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Driscoll, Richard J.","contributorId":200093,"corporation":false,"usgs":false,"family":"Driscoll","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":717379,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148047,"text":"70148047 - 2014 - Where the waters meet: sharing ideas and experiences between inland and marine realms to promote sustainable fisheries management","interactions":[],"lastModifiedDate":"2018-04-24T14:21:11","indexId":"70148047","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Where the waters meet: sharing ideas and experiences between inland and marine realms to promote sustainable fisheries management","docAbstract":"Although inland and marine environments, their fisheries, fishery managers, and the realm-specific management approaches are often different, there are a surprising number of similarities that frequently go unrecognized. We contend that there is much to be gained by greater cross-fertilization and exchange of ideas and strategies between realms and the people who manage them. The purpose of this paper is to provide examples of the potential or demonstrated benefits of working across aquatic boundaries for enhanced sustainable management of the world’s fisheries resources. Examples include the need to (1) engage in habitat management and protection as the foundation for fisheries, (2) rethink institutional arrangements and management for open-access fisheries systems, (3) establish “reference points” and harvest control rules, (4) engage in integrated management approaches, (5) reap conservation benefits from the link to fish as food, and (6) reframe conservation and management of fish to better engage the public and industry. Cross-fertilization and knowledge transfer between realms could be realized using environment-independent curricula and symposia, joint scientific advisory councils for management, integrated development projects, and cross-realm policy dialogue. Given the interdependence of marine and inland fisheries, promoting discussion between the realms has the potential to promote meaningful advances in managing global fisheries.
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","language":"English","publisher":"Alliance Communications Group","publisherLocation":"Lawrence, KS","usgsCitation":"Mech, L.D., 2014, Wolf recovery: a response to Bergstrom: The Wildlife Professional, v. 8, no. 3, p. 8-8.","productDescription":"1 p.","startPage":"8","endPage":"8","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057918","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":298342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec440e4b02419550debfa","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":519496,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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,{"id":70148129,"text":"70148129 - 2014 - Evaluating the effects of land use on headwater wetland amphibian assemblages in coastal Alabama","interactions":[],"lastModifiedDate":"2015-05-29T15:01:26","indexId":"70148129","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of land use on headwater wetland amphibian assemblages in coastal Alabama","docAbstract":"Anthropogenic land use is known to impact aquatic ecosystems in several ways, including increased frequency and intensity of floods, stream channel incision, sedimentation, and loss of microtopography. Amphibians are susceptible to changes in wetland and surrounding habitats. This study evaluated amphibian assemblages of fifteen headwater slope wetlands in coastal Alabama across a gradient of land uses. Amphibians were surveyed on a seasonal basis and land use was delineated within wetland watersheds and within a 200-m buffer surrounding each wetland. Amphibian presence/absence and land use data were used to develop species occupancy models. Both urban and agricultural land use were shown to influence amphibian occurrence. Species richness ranged from five to ten species across sites; however, five species only occurred in wetlands surrounded by forested lands. Many species were detected more frequently on these wetlands compared to wetlands surrounded by urban or mixed land uses. Occupancy models showed Acris gryllus was negatively associated with the amount of agriculture within a buffer around the wetland. Hyla squirella, Lithobates clamitans, and L. sphenocephalus were positively associated with agricultural land within a watershed. Anaxyrus terrestris and the non-native Eleutherodactylus planirostris were positively associated with the amount of impervious surface area within the wetland buffer.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-014-0553-y","usgsCitation":"Alix, D.M., Anderson, C.J., Grand, J.B., and Guyer, C., 2014, Evaluating the effects of land use on headwater wetland amphibian assemblages in coastal Alabama: Wetlands, v. 34, no. 5, p. 917-926, https://doi.org/10.1007/s13157-014-0553-y.","productDescription":"10 p.","startPage":"917","endPage":"926","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051560","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","county":"Baldwin County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.7423095703125,\n 31.04587480670449\n ],\n [\n -87.66128540039062,\n 31.049404461655996\n ],\n [\n -87.6324462890625,\n 30.86215257839766\n ],\n [\n -87.53356933593749,\n 30.741835717889792\n ],\n [\n -87.4017333984375,\n 30.667447179098694\n ],\n [\n -87.49786376953125,\n 30.37405999207125\n ],\n [\n -87.64755249023438,\n 30.317173211357414\n ],\n [\n -87.83706665039061,\n 30.414334780625396\n ],\n [\n -87.9345703125,\n 30.483000484352313\n ],\n [\n -87.89886474609375,\n 30.55043513509528\n ],\n [\n -87.93731689453125,\n 30.7241293640261\n ],\n [\n -87.91397094726562,\n 30.851542445605972\n ],\n [\n -87.7423095703125,\n 31.04587480670449\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-28","publicationStatus":"PW","scienceBaseUri":"55698dcfe4b0d9246a9f649e","contributors":{"authors":[{"text":"Alix, Diane M.","contributorId":140996,"corporation":false,"usgs":false,"family":"Alix","given":"Diane","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":547894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Christopher J.","contributorId":11516,"corporation":false,"usgs":true,"family":"Anderson","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":547895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guyer, Craig","contributorId":104800,"corporation":false,"usgs":false,"family":"Guyer","given":"Craig","email":"","affiliations":[],"preferred":false,"id":547896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160094,"text":"70160094 - 2014 - Population-level effects of egg predation on a native planktivore in a large freshwater lake","interactions":[],"lastModifiedDate":"2015-12-11T15:21:46","indexId":"70160094","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Population-level effects of egg predation on a native planktivore in a large freshwater lake","docAbstract":"Using a 37-year recruitment time series, we uncovered a field pattern revealing a strong, inverse relationship between bloater Coregonus hoyi recruitment success and slimy sculpin Cottus cognatus biomass in Lake Michigan (United States), one of the largest freshwater lakes of the world. Given that slimy sculpins (and deepwater sculpin Myoxocephalus thompsonii) are known egg predators that spatiotemporally overlap with incubating bloater eggs, we used recently published data on sculpin diets and daily ration to model annual bloater egg consumption by sculpins for the 1973–2010 year-classes. Although several strong year-classes were produced in the late 1980s when the proportion of eggs consumed by slimy sculpins was extremely low (i.e., <0.001) and several weak year-classes were produced when the proportion of bloater eggs consumed was at its highest (i.e., >0.10–1.0), egg predation failed to explain why recruitment was weak for the 1995–2005 year-classes when the proportion consumed was also low (i.e., <0.02). We concluded that egg predation by slimy and deepwater sculpins could have limited bloater recruitment in some years, but that some undetermined factor was more important in many other years. Given that slimy sculpin densities are influenced by piscivorous lake trout Salvelinus namaycush, the restoration of which in Lake Michigan has lagged behind those in lakes Superior and Huron, our study highlights the importance of an ecosystem perspective when considering population dynamics of fishes.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12112","usgsCitation":"Bunnell, D., Mychek-Londer, J., and Madenjian, C.P., 2014, Population-level effects of egg predation on a native planktivore in a large freshwater lake: Ecology of Freshwater Fish, v. 23, no. 4, p. 604-614, https://doi.org/10.1111/eff.12112.","productDescription":"11 p.","startPage":"604","endPage":"614","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050603","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472730,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/108675","text":"External Repository"},{"id":312191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312189,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/eff.12112/abstract"}],"country":"United States","otherGeospatial":"Lake 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]\n}","volume":"23","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-18","publicationStatus":"PW","scienceBaseUri":"566c01ece4b09cfe53ca5afa","contributors":{"authors":[{"text":"Bunnell, David B. dbunnell@usgs.gov","contributorId":141167,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mychek-Londer, Justin G.","contributorId":64138,"corporation":false,"usgs":true,"family":"Mychek-Londer","given":"Justin G.","affiliations":[],"preferred":false,"id":581966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X 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,{"id":70143395,"text":"70143395 - 2014 - Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation","interactions":[],"lastModifiedDate":"2015-03-19T09:35:13","indexId":"70143395","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation","docAbstract":"Accurately quantifying nitrate (NO3–) loading from the Mississippi River is important for predicting summer hypoxia in the Gulf of Mexico and targeting nutrient reduction within the basin. Loads have historically been modeled with regression-based techniques, but recent advances with high frequency NO3– sensors allowed us to evaluate model performance relative to measured loads in the lower Mississippi River. Patterns in NO3– concentrations and loads were observed at daily to annual time steps, with considerable variability in concentration-discharge relationships over the two year study. Differences were particularly accentuated during the 2012 drought and 2013 flood, which resulted in anomalously high NO3– concentrations consistent with a large flush of stored NO3– from soil. The comparison between measured loads and modeled loads (LOADEST, Composite Method, WRTDS) showed underestimates of only 3.5% across the entire study period, but much larger differences at shorter time steps. Absolute differences in loads were typically greatest in the spring and early summer critical to Gulf hypoxia formation, with the largest differences (underestimates) for all models during the flood period of 2013. In additional to improving the accuracy and precision of monthly loads, high frequency NO3– measurements offer additional benefits not available with regression-based or other load estimation techniques.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es504029c","usgsCitation":"Pellerin, B.A., Bergamaschi, B., Gilliom, R.J., Crawford, C.G., Saraceno, J.F., Frederick, C.P., Downing, B.D., and Murphy, J., 2014, Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation: Environmental Science & Technology, v. 48, no. 21, p. 12612-12619, https://doi.org/10.1021/es504029c.","productDescription":"8 p.","startPage":"12612","endPage":"12619","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055261","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es504029c","text":"Publisher Index Page"},{"id":298741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Baton Rouge","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.23458862304688,\n 30.40485985382934\n ],\n [\n -91.23458862304688,\n 30.526779182105784\n ],\n [\n -91.15631103515625,\n 30.526779182105784\n ],\n [\n -91.15631103515625,\n 30.40485985382934\n ],\n [\n -91.23458862304688,\n 30.40485985382934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"21","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"550bf332e4b02e76d759cdf1","chorus":{"doi":"10.1021/es504029c","url":"http://dx.doi.org/10.1021/es504029c","publisher":"American Chemical Society (ACS)","authors":"Pellerin Brian A., Bergamaschi Brian A., Gilliom Robert J., Crawford Charles G., Saraceno JohnFranco, Frederick C. Paul, Downing Bryan D., Murphy Jennifer C.","journalName":"Environmental Science & Technology","publicationDate":"11/4/2014","auditedOn":"3/4/2016","publiclyAccessibleDate":"11/4/2014"},"contributors":{"authors":[{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":542690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saraceno, John Franco 0000-0003-0064-1820 saraceno@usgs.gov","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":2328,"corporation":false,"usgs":true,"family":"Saraceno","given":"John","email":"saraceno@usgs.gov","middleInitial":"Franco","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frederick, C. Paul 0000-0003-1762-519X pfreder@usgs.gov","orcid":"https://orcid.org/0000-0003-1762-519X","contributorId":4755,"corporation":false,"usgs":true,"family":"Frederick","given":"C.","email":"pfreder@usgs.gov","middleInitial":"Paul","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":139729,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer C.","email":"jmurphy@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542695,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70144529,"text":"70144529 - 2014 - Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","interactions":[],"lastModifiedDate":"2018-10-11T16:40:04","indexId":"70144529","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","title":"Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","docAbstract":"The fitness of female Pacific salmon (Oncorhynchus spp.) with respect to breeding behavior can be partitioned into at least four fitness components: survival to reproduction, competition for breeding sites, success of egg incubation, and suitability of the local environment near breeding sites for early rearing of juveniles. We evaluated the relative influences of habitat features linked to these fitness components with respect to selection of breeding sites by coho salmon (Oncorhynchus kisutch). We also evaluated associations between breeding site selection and additions of large wood, as the latter were introduced into the study system as a means of restoring habitat conditions to benefit coho salmon. We used a model selection approach to organize specific habitat features into groupings reflecting fitness components and influences of large wood. Results of this work suggest that female coho salmon likely select breeding sites based on a wide range of habitat features linked to all four hypothesized fitness components. More specifically, model parameter estimates indicated that breeding site selection was most strongly influenced by proximity to pool-tail crests and deeper water (mean and maximum depths). Linkages between large wood and breeding site selection were less clear. Overall, our findings suggest that breeding site selection by coho salmon is influenced by a suite of fitness components in addition to the egg incubation environment, which has been the emphasis of much work in the past.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0020","usgsCitation":"Clark, S.M., Dunham, J., McEnroe, J.R., and Lightcap, S.W., 2014, Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 10, p. 1498-1507, https://doi.org/10.1139/cjfas-2014-0020.","productDescription":"10 p.","startPage":"1498","endPage":"1507","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057024","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":299201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Douglas County","otherGeospatial":"Little Wolf Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.904052734375,\n 43.09697190802465\n ],\n [\n -122.904052734375,\n 44.000717834282774\n ],\n [\n -121.431884765625,\n 44.000717834282774\n ],\n [\n -121.431884765625,\n 43.09697190802465\n ],\n [\n -122.904052734375,\n 43.09697190802465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"71","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bc529e4b0323842783a3c","contributors":{"authors":[{"text":"Clark, Steven M.","contributorId":7989,"corporation":false,"usgs":false,"family":"Clark","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":543679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEnroe, Jeffery R.","contributorId":139990,"corporation":false,"usgs":false,"family":"McEnroe","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lightcap, Scott W.","contributorId":139991,"corporation":false,"usgs":false,"family":"Lightcap","given":"Scott","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173643,"text":"70173643 - 2014 - Environmental correlates of temporary emigration for female Weddell seals and consequences for recruitment","interactions":[],"lastModifiedDate":"2016-06-08T11:20:14","indexId":"70173643","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental correlates of temporary emigration for female Weddell seals and consequences for recruitment","docAbstract":"In colonial-breeding species, prebreeders often emigrate temporarily from natal reproductive colonies then subsequently return for one or more years before producing young. Variation in attendance–nonattendance patterns can have implications for subsequent recruitment. We used open robust-design multistate models and 28 years of encounter data for prebreeding female Weddell seals (Leptonychotes weddellii [Lesson]) to evaluate hypotheses about (1) the relationships of temporary emigration (TE) probabilities to environmental and population size covariates and (2) motivations for attendance and consequences of nonattendance for subsequent probability of recruitment to the breeding population. TE probabilities were density dependent (βˆBPOP = 0.66, ![\"inline](\"http://onlinelibrary.wiley.com/store/10.1890/13-1966.1/asset/equation/i0012-9658-95-9-2526-ilm01.gif?v=1&s=2a9ab6dac445552991f2f4a9441b409090f165f7\")
= 0.17; estimated effects [β] and standard errors of population size in the previous year) and increased when the fast-ice edge was distant from the breeding colonies (βˆDIST = 0.75, ![\"inline](\"http://onlinelibrary.wiley.com/store/10.1890/13-1966.1/asset/equation/i0012-9658-95-9-2526-ilm12.gif?v=1&s=d4aa956a876d41552ba6f997f88fdf3391a96696\")
= 0.04; estimated effects and standard errors of distance to the sea-ice edge in the current year on TE probability in the current year) and were strongly age and state dependent. These results suggest that trade-offs between potential benefits and costs of colony attendance vary annually and might influence motivation to attend colonies. Recruitment probabilities were greatest for seals that consistently attended colonies in two or more years (e.g., ![\"inline](\"http://onlinelibrary.wiley.com/store/10.1890/13-1966.1/asset/equation/i0012-9658-95-9-2526-ilm23.gif?v=1&s=3f4f80c53b0304e30a72796fab1d8ea0a748983f\")
= 0.56, SD = 0.17) and lowest for seals that never or inconsistently attended prior to recruitment (e.g., ![\"inline](\"http://onlinelibrary.wiley.com/store/10.1890/13-1966.1/asset/equation/i0012-9658-95-9-2526-ilm34.gif?v=1&s=9c729740a01e0d4e8c0ab5ae46b2cfda63e493d2\")
= 0.32, SD = 0.15), where ![\"inline](\"http://onlinelibrary.wiley.com/store/10.1890/13-1966.1/asset/equation/i0012-9658-95-9-2526-ilm45.gif?v=1&s=f2f42c3b6d0abfdd49313f9355edc5456612cd5a\")
denotes the mean recruitment probability (over all years) for 10-year-old seals for the specified prebreeder state. In colonial-breeding seabirds, repeated colony attendance increases subsequent probability of recruitment to the adult breeding population; our results suggest similar implications for a marine mammal and are consistent with the hypothesis that prebreeders were motivated to attend reproductive colonies to gain reproductive skills or perhaps to optimally synchronize estrus through close association with mature breeding females.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1966.1","usgsCitation":"Stauffer, G.E., Rotella, J.J., Garrott, R.A., and Kendall, W., 2014, Environmental correlates of temporary emigration for female Weddell seals and consequences for recruitment: Ecology, v. 95, no. 9, p. 2526-2536, https://doi.org/10.1890/13-1966.1.","productDescription":"11 p.","startPage":"2526","endPage":"2536","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054170","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472735,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/8736","text":"External Repository"},{"id":323263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575941dde4b04f417c256824","contributors":{"authors":[{"text":"Stauffer, Glenn E.","contributorId":171536,"corporation":false,"usgs":false,"family":"Stauffer","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":637881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":637882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrott, Robert A.","contributorId":171537,"corporation":false,"usgs":false,"family":"Garrott","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70150430,"text":"70150430 - 2014 - Spatial patterns of lacustrine fish assemblages in a catchment of the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2015-08-12T14:35:48","indexId":"70150430","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of lacustrine fish assemblages in a catchment of the Mississippi Alluvial Valley","docAbstract":"\n- In the alluvial valley of the lower Mississippi River, floodplain lakes form isolated aquatic fragments that retain differing degrees of connectivity to neighbouring rivers. Within these floodplain lakes it was hypothesized that fish species composition, relative abundance, and biodiversity metrics would be shaped largely by aquatic connectivity within a catchment.
\n- Fish assemblages in 13 floodplain lakes (five on-channel; eight off-channel) were assessed with electrofishing in 2006–2012 in the Bear Creek catchment, Mississippi, USA. Bear Creek spans approximately 80 km before draining into the Yazoo River, a tributary of the Mississippi River.
\n- Fish assemblages in on-channel and off-channel lakes were different, and fish assemblages in on-channel lakes were as a group more homogeneous than off-channel lakes. Moreover, a longitudinal gradient in fish assemblages occurred in on-channel lakes. The observed patterns in fish assemblages are linked largely to differing intensities in connectivity among lakes within the catchment. Lakes with irregular connections have greater individuality, whereas lakes with continuous or chronic connection are more similar. The wide variation in connectivity could be a key to the distinctive biodiversity of catchments and the focus of fish conservation programmes.
\n- Off-channel floodplain lakes are among the first landscape elements to vanish as a consequence of agricultural development. These habitats tend to accumulate sediments at fast rates and are converted to agricultural land as soon as suitable drainage can be attained. Considering that off-channel lakes with limited connectivity contribute greatly to the heterogeneity of fish assemblages, such losses pose great concerns to conservation of biodiversity.
\n
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.2468","usgsCitation":"Andrews, C.S., Miranda, L.E., Goetz, D.B., and Kroger, R., 2014, Spatial patterns of lacustrine fish assemblages in a catchment of the Mississippi Alluvial Valley: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 24, no. 5, p. 634-644, https://doi.org/10.1002/aqc.2468.","productDescription":"11 p.","startPage":"634","endPage":"644","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049896","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Bear Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.5712890625,\n 32.798818855292\n ],\n [\n -90.5712890625,\n 33.708347493688414\n ],\n [\n -89.75555419921874,\n 33.708347493688414\n ],\n [\n -89.75555419921874,\n 32.798818855292\n ],\n [\n -90.5712890625,\n 32.798818855292\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-11","publicationStatus":"PW","scienceBaseUri":"55cc6e29e4b08400b1fe0fd9","chorus":{"doi":"10.1002/aqc.2468","url":"http://dx.doi.org/10.1002/aqc.2468","publisher":"Wiley-Blackwell","authors":"Andrews Caroline S., Miranda L. E., Goetz Daniel B., Kröger Robert","journalName":"Aquatic Conservation: Marine and Freshwater Ecosystems","publicationDate":"6/11/2014","auditedOn":"11/11/2014"},"contributors":{"authors":[{"text":"Andrews, Caroline S.","contributorId":143700,"corporation":false,"usgs":false,"family":"Andrews","given":"Caroline","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":556873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goetz, Daniel B.","contributorId":143784,"corporation":false,"usgs":false,"family":"Goetz","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":567920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroger, Robert","contributorId":143701,"corporation":false,"usgs":false,"family":"Kroger","given":"Robert","email":"","affiliations":[],"preferred":false,"id":567921,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189179,"text":"70189179 - 2014 - A computer program for uncertainty analysis integrating regression and Bayesian methods","interactions":[],"lastModifiedDate":"2018-09-14T16:01:30","indexId":"70189179","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A computer program for uncertainty analysis integrating regression and Bayesian methods","docAbstract":"This work develops a new functionality in UCODE_2014 to evaluate Bayesian credible intervals using the Markov Chain Monte Carlo (MCMC) method. The MCMC capability in UCODE_2014 is based on the FORTRAN version of the differential evolution adaptive Metropolis (DREAM) algorithm of Vrugt et al. (2009), which estimates the posterior probability density function of model parameters in high-dimensional and multimodal sampling problems. The UCODE MCMC capability provides eleven prior probability distributions and three ways to initialize the sampling process. It evaluates parametric and predictive uncertainties and it has parallel computing capability based on multiple chains to accelerate the sampling process. This paper tests and demonstrates the MCMC capability using a 10-dimensional multimodal mathematical function, a 100-dimensional Gaussian function, and a groundwater reactive transport model. The use of the MCMC capability is made straightforward and flexible by adopting the JUPITER API protocol. With the new MCMC capability, UCODE_2014 can be used to calculate three types of uncertainty intervals, which all can account for prior information: (1) linear confidence intervals which require linearity and Gaussian error assumptions and typically 10s–100s of highly parallelizable model runs after optimization, (2) nonlinear confidence intervals which require a smooth objective function surface and Gaussian observation error assumptions and typically 100s–1,000s of partially parallelizable model runs after optimization, and (3) MCMC Bayesian credible intervals which require few assumptions and commonly 10,000s–100,000s or more partially parallelizable model runs. Ready access allows users to select methods best suited to their work, and to compare methods in many circumstances.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2014.06.002","usgsCitation":"Lu, D., Ye, M., Hill, M.C., Poeter, E.P., and Curtis, G., 2014, A computer program for uncertainty analysis integrating regression and Bayesian methods: Environmental Modelling and Software, v. 60, p. 45-56, https://doi.org/10.1016/j.envsoft.2014.06.002.","productDescription":"12 p.","startPage":"45","endPage":"56","ipdsId":"IP-057730","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c42e4b0d1f9f057e35e","contributors":{"authors":[{"text":"Lu, Dan","contributorId":194172,"corporation":false,"usgs":false,"family":"Lu","given":"Dan","email":"","affiliations":[],"preferred":false,"id":703376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ye, Ming","contributorId":70276,"corporation":false,"usgs":true,"family":"Ye","given":"Ming","affiliations":[],"preferred":false,"id":703377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poeter, Eileen P.","contributorId":78805,"corporation":false,"usgs":true,"family":"Poeter","given":"Eileen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":703378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curtis, Gary gpcurtis@usgs.gov","contributorId":194175,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","affiliations":[],"preferred":true,"id":703379,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187367,"text":"70187367 - 2014 - Survival of Atlantic salmon Salmo salar smolts through a hydropower complex","interactions":[],"lastModifiedDate":"2017-05-01T10:05:26","indexId":"70187367","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Survival of Atlantic salmon Salmo salar smolts through a hydropower complex","docAbstract":"This study evaluated Atlantic salmon Salmo salar smolt survival through the lower Penobscot River, Maine, U.S.A., and characterized relative differences in proportional use and survival through the main-stem of the river and an alternative migration route, the Stillwater Branch. The work was conducted prior to removal of two main-stem dams and operational changes in hydropower facilities in the Stillwater Branch. Survival and proportional use of migration routes in the lower Penobscot were estimated from multistate (MS) models based on 6 years of acoustic telemetry data from 1669 smolts and 2 years of radio-telemetry data from 190 fish. A small proportion (0·12, 95% c.i. = 0·06–0·25) of smolts used the Stillwater Branch, and mean survival through the two operational dams in this part of the river was relatively high (1·00 and 0·97). Survival at Milford Dam, the dam that will remain in the main-stem of the Penobscot River, was relatively low (0·91), whereas survival through two dams that were removed was relatively high (0·99 and 0·98). Smolt survival could decrease in the Stillwater Branch with the addition of two new powerhouses while continuing to meet fish passage standards. The effects of removing two dams in the main-stem are expected to be negligible for smolt survival based on high survival observed from 2005 to 2012 at those locations. Survival through Milford Dam was been well below current regulatory standards, and thus improvement of passage at this location offers the best opportunity for improving overall smolt survival in the lower river.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.12483","usgsCitation":"Stich, D., Bailey, M., and Zydlewski, J.D., 2014, Survival of Atlantic salmon Salmo salar smolts through a hydropower complex: Journal of Fish Biology, v. 85, no. 4, p. 1074-1096, https://doi.org/10.1111/jfb.12483.","productDescription":"23 p.","startPage":"1074","endPage":"1096","ipdsId":"IP-052398","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.9337158203125,\n 44.56894765233198\n ],\n [\n -68.51898193359375,\n 44.56894765233198\n ],\n [\n -68.51898193359375,\n 45.236217535866025\n ],\n [\n -68.9337158203125,\n 45.236217535866025\n ],\n [\n -68.9337158203125,\n 44.56894765233198\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-06","publicationStatus":"PW","scienceBaseUri":"5908492ee4b0fc4e448ffd72","contributors":{"authors":[{"text":"Stich, D.S.","contributorId":169719,"corporation":false,"usgs":false,"family":"Stich","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":693626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, M.M.","contributorId":7494,"corporation":false,"usgs":true,"family":"Bailey","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":693627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693616,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}