Large Electric Dispersal Barriers were constructed in the Chicago Sanitary and Ship Canal (CSSC) to prevent the transfer of invasive fish species between the Mississippi River Basin and the Great Lakes Basin while simultaneously allowing the passage of commercial barge traffic. We investigated the potential for entrainment, retention, and transport of freely swimming fish within large gaps (> 50 m3) created at junction points between barges. Modified mark and capture trials were employed to assess fish entrainment, retention, and transport by barge tows. A multi-beam sonar system enabled estimation of fish abundance within barge junction gaps. Barges were also instrumented with acoustic Doppler velocity meters to map the velocity distribution in the water surrounding the barge and in the gap formed at the junction of two barges. Results indicate that the water inside the gap can move upstream with a barge tow at speeds near the barge tow travel speed. Water within 1 m to the side of the barge junction gaps was observed to move upstream with the barge tow. Observed transverse and vertical water velocities suggest pathways by which fish may potentially be entrained into barge junction gaps. Results of mark and capture trials provide direct evidence that small fish can become entrained by barges, retained within junction gaps, and transported over distances of at least 15.5 km. Fish entrained within the barge junction gap were retained in that space as the barge tow transited through locks and the Electric Dispersal Barriers, which would be expected to impede fish movement upstream.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.05.005","usgsCitation":"Davis, J.J., Jackson, P.R., Engel, F.L., LeRoy, J., Neeley, R.N., Finney, S.T., and Murphy, E.A., 2016, Entrainment, retention, and transport of freely swimming fish in junction gaps between commercial barges operating on the Illinois Waterway: Journal of Great Lakes Research, v. 42, no. 4, p. 837-848, https://doi.org/10.1016/j.jglr.2016.05.005.","productDescription":"12 p.","startPage":"837","endPage":"848","ipdsId":"IP-071305","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":328467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.15498352050781,\n 41.492120839687786\n ],\n [\n -88.15498352050781,\n 41.66419207101119\n ],\n [\n -87.97096252441406,\n 41.66419207101119\n ],\n [\n -87.97096252441406,\n 41.492120839687786\n ],\n [\n -88.15498352050781,\n 41.492120839687786\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f4b","contributors":{"authors":[{"text":"Davis, Jeremiah J.","contributorId":150963,"corporation":false,"usgs":false,"family":"Davis","given":"Jeremiah","email":"","middleInitial":"J.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":648528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":173931,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engel, Frank L. 0000-0002-4253-2625 fengel@usgs.gov","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":5463,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","email":"fengel@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeRoy, Jessica Z. jleroy@usgs.gov","contributorId":174538,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica Z.","email":"jleroy@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neeley, Rebecca N.","contributorId":174535,"corporation":false,"usgs":false,"family":"Neeley","given":"Rebecca","email":"","middleInitial":"N.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648531,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finney, Samuel T.","contributorId":174536,"corporation":false,"usgs":false,"family":"Finney","given":"Samuel","email":"","middleInitial":"T.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648532,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Elizabeth A. emurphy@usgs.gov","contributorId":174537,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth","email":"emurphy@usgs.gov","middleInitial":"A.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648533,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176268,"text":"ofr20161147 - 2016 - U.S. Geological Survey—Energy and Wildlife Research Annual Report for 2016","interactions":[],"lastModifiedDate":"2016-09-12T09:58:51","indexId":"ofr20161147","displayToPublicDate":"2016-09-09T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1147","title":"U.S. Geological Survey—Energy and Wildlife Research Annual Report for 2016","docAbstract":"Recent growth and development of renewable energy and unconventional oil and gas extraction are rapidly diversifying the energy supply of the United States. Yet, as our Nation works to advance energy security and conserve wildlife, some conflicts have surfaced. To address these challenges, the U.S. Geological Survey (USGS) is conducting innovative research and developing workable solutions to reduce the impacts of energy production on wildlife. USGS scientists collaborate on many studies with scientists from other Federal, State, and local government agencies; Tribal nations; academic research institutions; and nongovernmental and private organizations.
The mix of fuels used for electricity generation is evolving. Solar, natural gas, and wind energy made up most electricity generation additions in 2015 and 2016. The United States now leads the world in natural gas production, with new record highs for each year from 2011 through 2015. More than 48,000 wind turbines now contribute to power grids in most States, providing about 5 percent of U.S. end-use electricity demand in an average year. The number of utility-scale solar-energy projects is growing rapidly with solar energy projected to contribute to the largest electricity generation addition in 2016.
A substantial number of large energy projects have been constructed on undeveloped public lands, and more are anticipated at an increasing rate, creating new stress to wildlife. Direct impacts include collisions with wind turbines and structures at solar facilities and loss of habitat which may negatively affect sensitive species. Recent estimates suggest 250,000 to 500,000 birds die each year at wind turbine facilities. Bat fatality rates at wind turbine facilities are less certain, but may average several hundred thousand per year throughout North America. Because new projects may be located in or near sensitive wildlife habitats, ecological science plays a key role in helping to guide project siting and operational decisions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161147","usgsCitation":"Khalil, Mona, ed., 2016, U.S. Geological Survey—Energy and Wildlife Research Annual Report for 2016: U.S. Geological Survey Open-File ReportEnergy and Wildlife Program
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 301
Reston, VA 20192
mkhalil@usgs.gov
https://www.usgs.gov/ecosystems/
energy_wildlife
Waterbird die-offs caused by Clostridium botulinum neurotoxin type E (BoNT/E) have occurred sporadically in the Great Lakes since the late 1960s, with a recent pulse starting in the late 1990s. In recent die-offs, round gobies (Neogobius melanostomus) have been implicated as vectors for the transfer of BoNT/E to fish-eating birds due to the round goby invasion history and their importance as prey. Dreissenid mussels (Dreissena spp.) are also potentially involved in BoNT/E transmission to birds and round gobies. We examined gut contents of waterbirds collected in Lake Michigan during die-offs in 2010–2012, and the gut contents of culled, presumably BoNT/E-free double-crested cormorants (Phalacrocorax auritus). Round gobies were found in 86% of the BoNT/E-positive individuals, 84% of the BoNT/E-negative birds, and 94% of the BoNT/E-free cormorants examined. Double-crested cormorants, ring-billed gulls (Larus delewarensis), and common loons (Gavia immer) consumed larger-sized round gobies than horned and red-necked grebes (Podiceps auritus and Podiceps grisegena), white-winged scoters (Melanitta deglandi), and long-tailed ducks (Clangula hymealis). Other common prey included dreissenid mussels, terrestrial insects, and alewives (Alosa pseudoharengus). Our data emphasize the importance of round gobies and mussels in diets of Lake Michigan waterbirds and suggest they may play a role in the transfer of BoNT/E to waterbirds; however, round gobies and mussels were found in BoNT/E-positive, -negative, and -free individuals, suggesting that other factors, such as alternative trophic pathways for toxin transfer, bird migratory timing and feeding locations, prey behavior, and individual physiological differences across birds may affect the likelihood that a bird will succumb to BoNT/E intoxication.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.07.027","usgsCitation":"Essian, D.A., Chipault, J.G., Lafrancois, B., and Leonard, J.B., 2016, Gut content analysis of Lake Michigan waterbirds in years with avian botulism type E mortality, 2010–2012: Journal of Great Lakes Research, v. 42, no. 5, p. 1118-1128, https://doi.org/10.1016/j.jglr.2016.07.027.","productDescription":"11 p.","startPage":"1118","endPage":"1128","ipdsId":"IP-070688","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470575,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.07.027","text":"Publisher Index Page"},{"id":328431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f51","contributors":{"authors":[{"text":"Essian, David A.","contributorId":174521,"corporation":false,"usgs":false,"family":"Essian","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24575,"text":"Northern Michigan University, Marquette, MI","active":true,"usgs":false}],"preferred":false,"id":648482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipault, Jennifer G. 0000-0002-1368-622X jchipault@usgs.gov","orcid":"https://orcid.org/0000-0002-1368-622X","contributorId":4765,"corporation":false,"usgs":true,"family":"Chipault","given":"Jennifer","email":"jchipault@usgs.gov","middleInitial":"G.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":648481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafrancois, Brenda M.","contributorId":174522,"corporation":false,"usgs":false,"family":"Lafrancois","given":"Brenda M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":648483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leonard, Jill B.K.","contributorId":64141,"corporation":false,"usgs":true,"family":"Leonard","given":"Jill","email":"","middleInitial":"B.K.","affiliations":[],"preferred":false,"id":648484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176206,"text":"fs20163067 - 2016 - Renewable energy and wildlife conservation","interactions":[],"lastModifiedDate":"2016-09-12T09:27:06","indexId":"fs20163067","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3067","title":"Renewable energy and wildlife conservation","docAbstract":"The renewable energy sector is rapidly expanding and diversifying the power supply of the country. Yet, as our Nation works to advance renewable energy and to conserve wildlife, some conflicts arise. To address these challenges, the U.S. Geological Survey (USGS) is conducting innovative research and developing workable solutions to reduce impacts of renewable energy production on wildlife.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163067","usgsCitation":"Khalil, Mona, 2016, Renewable energy and wildlife conservation: U.S. Geological Survey Fact Sheet 2016-3067, 4 p., https://dx.doi.org/10.3133/fs20163067.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-078364","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":328450,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3067/coverthb.jpg"},{"id":328451,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3067/fs20163067.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3067"}],"contact":"USGS Energy and Wildlife Program
https://www2.usgs.gov/ecosystems/
energy_wildlife
Climate change poses major challenges for conservation and management because it alters the area, quality, and spatial distribution of habitat for natural populations. To assess species’ vulnerability to climate change and target ongoing conservation investments, researchers and managers often consider the effects of projected changes in climate and land use on future habitat availability and quality and the uncertainty associated with these projections. Here, we draw on tools from hydrology and climate science to project the impact of climate change on the density of wetlands in the Prairie Pothole Region of the USA, a critical area for breeding waterfowl and other wetland-dependent species. We evaluate the potential for a trade-off in the value of conservation investments under current and future climatic conditions and consider the joint effects of climate and land use. We use an integrated set of hydrological and climatological projections that provide physically based measures of water balance under historical and projected future climatic conditions. In addition, we use historical projections derived from ten general circulation models (GCMs) as a baseline from which to assess climate change impacts, rather than historical climate data. This method isolates the impact of greenhouse gas emissions and ensures that modeling errors are incorporated into the baseline rather than attributed to climate change. Our work shows that, on average, densities of wetlands (here defined as wetland basins holding water) are projected to decline across the U.S. Prairie Pothole Region, but that GCMs differ in both the magnitude and the direction of projected impacts. However, we found little evidence for a shift in the locations expected to provide the highest wetland densities under current vs. projected climatic conditions. This result was robust to the inclusion of projected changes in land use under climate change. We suggest that targeting conservation towards wetland complexes containing both small and relatively large wetland basins, which is an ongoing conservation strategy, may also act to hedge against uncertainty in the effects of climate change.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/15-0750.1","usgsCitation":"Sofaer, H., Skagen, S., Barsugli, J.J., Rashford, B.S., Reese, G., Hoeting, J.A., Wood, A.W., and Noon, B.R., 2016, Projected wetland densities under climate change: Habitat loss but little geographic shift in conservation strategy: Ecological Applications, v. 26, no. 6, p. 1677-1692, https://doi.org/10.1890/15-0750.1.","startPage":"1677","endPage":"1692","numberOfPages":"16","ipdsId":"IP-068693","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470579,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/15-0750.1","text":"Publisher Index Page"},{"id":438551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VX0DMQ","text":"USGS data release","linkHelpText":"Data used to estimate and project the effects of climate and 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environmental DNA (eDNA). Not only does eDNA hold potential for detecting the presence of species, but may also allow for quantitative comparisons like relative abundance of species across time or space. We examined the relationships among bigheaded carp movement, hydrography, spawning and eDNA on the Wabash River, IN, USA. We found positive relationships between eDNA and movement and eDNA and hydrography. We did not find a relationship between eDNA and spawning activity in the form of drifting eggs. Our first finding demonstrates how eDNA may be used to monitor species abundance, whereas our second finding illustrates the need for additional research into eDNA methodologies. Current applications of eDNA are widespread, but the relatively new technology requires further refinement.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.12533","usgsCitation":"Erickson, R.A., Rees, C.B., Coulter, A.A., Merkes, C.M., McCalla, S.G., Touzinsky, K.F., Walleser, L.R., Goforth, R.R., and Amberg, J., 2016, Detecting the movement and spawning activity of bigheaded carps with environmental DNA: Molecular Ecology Resources, v. 16, no. 4, p. 957-965, https://doi.org/10.1111/1755-0998.12533.","productDescription":"9 p.","startPage":"957","endPage":"965","ipdsId":"IP-067507","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.12533","text":"Publisher Index Page"},{"id":328470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-09","publicationStatus":"PW","scienceBaseUri":"57d3cf22e4b0571647d15f49","chorus":{"doi":"10.1111/1755-0998.12533","url":"http://dx.doi.org/10.1111/1755-0998.12533","publisher":"Wiley-Blackwell","authors":"Erickson Richard A., Rees Christopher B., Coulter Alison A., Merkes Christopher M., McCalla Sunnie G., Touzinsky Katherine F., Walleser Liza, Goforth Reuben R., Amberg Jon J.","journalName":"Molecular Ecology Resources","publicationDate":"5/9/2016"},"contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":648511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rees, Christopher B. crees@usgs.gov","contributorId":5500,"corporation":false,"usgs":true,"family":"Rees","given":"Christopher","email":"crees@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":648512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coulter, Alison A.","contributorId":90992,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false},{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":648513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":648514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCalla, S. Grace 0000-0003-4292-8694 smccalla@usgs.gov","orcid":"https://orcid.org/0000-0003-4292-8694","contributorId":168436,"corporation":false,"usgs":true,"family":"McCalla","given":"S.","email":"smccalla@usgs.gov","middleInitial":"Grace","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":648515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Touzinsky, Katherine F","contributorId":168437,"corporation":false,"usgs":false,"family":"Touzinsky","given":"Katherine","email":"","middleInitial":"F","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":648516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walleser, Liza R. lwalleser@usgs.gov","contributorId":4329,"corporation":false,"usgs":true,"family":"Walleser","given":"Liza","email":"lwalleser@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":648517,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goforth, Reuben R.","contributorId":96169,"corporation":false,"usgs":true,"family":"Goforth","given":"Reuben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648518,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":648519,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70176348,"text":"70176348 - 2016 - Predation by Northern Pikeminnow and tiger muskellunge on juvenile salmonids in a high–head reservoir: Implications for anadromous fish reintroductions","interactions":[],"lastModifiedDate":"2016-09-09T09:50:31","indexId":"70176348","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","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":"Predation by Northern Pikeminnow and tiger muskellunge on juvenile salmonids in a high–head reservoir: Implications for anadromous fish reintroductions","docAbstract":"The feasibility of reintroducing anadromous salmonids into reservoirs above high-head dams is affected by the suitability of the reservoir habitat for rearing and the interactions of the resident fish with introduced fish. We evaluated the predation risk to anadromous salmonids considered for reintroduction in Merwin Reservoir on the North Fork Lewis River in Washington State for two reservoir use-scenarios: year-round rearing and smolt migration. We characterized the role of the primary predators, Northern Pikeminnow Ptychocheilus oregonensis and tiger muskellunge (Northern Pike Esox lucius × Muskellunge E. masquinongy), by using stable isotopes and stomach content analysis, quantified seasonal, per capita predation using bioenergetics modeling, and evaluated the size and age structures of the populations. We then combined these inputs to estimate predation rates of size-structured population units. Northern Pikeminnow of FL ≥ 300 mm were highly cannibalistic and exhibited modest, seasonal, per capita predation on salmonids, but they were disproportionately much less abundant than smaller, less piscivorous, conspecifics. The annual predation on kokanee Oncorhynchus nerka (in biomass) by a size-structured unit of 1,000 Northern Pikeminnow having a FL ≥ 300 mm was analogous to 16,000–40,000 age-0 spring Chinook Salmon O. tshawytscha rearing year-round, or 400–1,000 age-1 smolts migrating April–June. The per capita consumption of salmonids by Northern Pikeminnow having a FL ≥ 200 mm was relatively low, due in large part to spatial segregation during the summer and the skewed size distribution of the predator population. Tiger muskellunge fed heavily on Northern Pikeminnow, other nonsalmonids, and minimally on salmonids. In addition to cannibalism within the Northern Pikeminnow population, predation by tiger muskellunge likely contributed to the low recruitment of larger (more piscivorous) Northern Pikeminnow, thereby decreasing the risk of predation to salmonids. This study highlights the importance of evaluating trophic interactions within reservoirs slated for reintroduction with anadromous salmonids, as they can be functional migration corridors and may offer profitable juvenile-rearing habitats despite hosting abundant predator populations.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2015.1131746","usgsCitation":"Sorel, M.H., Hansen, A., Connelly, K.A., Wilson, A.C., Lowery, E.D., and Beauchamp, D.A., 2016, Predation by Northern Pikeminnow and tiger muskellunge on juvenile salmonids in a high–head reservoir: Implications for anadromous fish reintroductions: Transactions of the American Fisheries Society, v. 145, no. 3, p. 521-536, https://doi.org/10.1080/00028487.2015.1131746.","startPage":"521","endPage":"536","numberOfPages":"16","ipdsId":"IP-070089","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":328430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Merwin Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.57789611816405,\n 45.921542672881465\n ],\n [\n -122.57789611816405,\n 46.02938880791639\n ],\n [\n -122.32452392578125,\n 46.02938880791639\n ],\n [\n -122.32452392578125,\n 45.921542672881465\n ],\n [\n -122.57789611816405,\n 45.921542672881465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-19","publicationStatus":"PW","scienceBaseUri":"57d3cf24e4b0571647d15f5d","contributors":{"authors":[{"text":"Sorel, Mark H.","contributorId":171739,"corporation":false,"usgs":false,"family":"Sorel","given":"Mark","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":648485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Adam G.","contributorId":103947,"corporation":false,"usgs":true,"family":"Hansen","given":"Adam G.","affiliations":[],"preferred":false,"id":648486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connelly, Kristin A.","contributorId":174523,"corporation":false,"usgs":false,"family":"Connelly","given":"Kristin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":648487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Andrew C.","contributorId":174524,"corporation":false,"usgs":false,"family":"Wilson","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":648488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowery, Erin D.","contributorId":174525,"corporation":false,"usgs":false,"family":"Lowery","given":"Erin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":648489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":648457,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176349,"text":"70176349 - 2016 - Growth of juvenile steelhead Oncorhynchus mykiss under size-selective pressure limited by seasonal bioenergetic and environmental constraints","interactions":[],"lastModifiedDate":"2016-09-09T10:02:47","indexId":"70176349","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","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":"Growth of juvenile steelhead Oncorhynchus mykiss under size-selective pressure limited by seasonal bioenergetic and environmental constraints","docAbstract":"Increased freshwater growth of juvenile steelhead Oncorhynchus mykiss improved survival to smolt and adult stages, thus prompting an examination of factors affecting growth during critical periods that influenced survival through subsequent life stages. For three tributaries with contrasting thermal regimes, a bioenergetics model was used to evaluate how feeding rate and energy density of prey influenced seasonal growth and stage-specific survival of juvenile O. mykiss. Sensitivity analysis examined target levels for feeding rate and energy density of prey during the growing season that improved survival to the smolt and adult stages in each tributary. Simulated daily growth was greatest during warmer months (1 July to 30 September), whereas substantial body mass was lost during cooler months (1 December to 31 March). Incremental increases in annual feeding rate or energy density of prey during summer broadened the temperature range at which faster growth occurred and increased the growth of the average juvenile to match those that survived to smolt and adult stages. Survival to later life stages could be improved by increasing feeding rate or energy density of the diet during summer months, when warmer water temperatures accommodated increased growth potential. Higher growth during the summer period in each tributary could improve resiliency during subsequent colder periods that lead to metabolic stress and weight loss. As growth and corresponding survival rates in fresh water are altered by shifting abiotic regimes, it will be increasingly important for fisheries managers to better understand the mechanisms affecting growth limitations in rearing habitats and what measures might maintain or improve growth conditions and survival.
","language":"English","publisher":"Fisheries Society of the British Isles","publisherLocation":"London","doi":"10.1111/jfb.13078","usgsCitation":"Thompson, J.N., and Beauchamp, D.A., 2016, Growth of juvenile steelhead Oncorhynchus mykiss under size-selective pressure limited by seasonal bioenergetic and environmental constraints: Journal of Fish Biology, v. 89, no. 3, p. 1720-1739, https://doi.org/10.1111/jfb.13078.","startPage":"1720","endPage":"1739","numberOfPages":"20","ipdsId":"IP-078951","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":328432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Skagit River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.8,\n 47.9\n ],\n [\n -122.8,\n 49\n ],\n [\n -120.7,\n 49\n ],\n [\n -120.7,\n 47.9\n ],\n [\n -122.8,\n 47.9\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-10","publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f4f","contributors":{"authors":[{"text":"Thompson, Jamie N.","contributorId":174511,"corporation":false,"usgs":false,"family":"Thompson","given":"Jamie","email":"","middleInitial":"N.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":648459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":648458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176350,"text":"70176350 - 2016 - Marine phosphorites as potential resources for heavy rare earth elements and yttrium","interactions":[],"lastModifiedDate":"2016-09-09T10:12:01","indexId":"70176350","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Marine phosphorites as potential resources for heavy rare earth elements and yttrium","docAbstract":"Marine phosphorites are known to concentrate rare earth elements and yttrium (REY) during early diagenetic formation. Much of the REY data available are decades old and incomplete, and there has not been a systematic study of REY distributions in marine phosphorite deposits that formed over a range of oceanic environments. Consequently, we initiated this study to determine if marine phosphorite deposits found in the global ocean host REY concentrations of high enough grade to be of economic interest. This paper addresses continental-margin (CM) and open-ocean seamount phosphorites. All 75 samples analyzed are composed predominantly of carbonate fluorapatite and minor detrital and authigenic minerals. CM phosphorites have low total REY contents (mean 161 ppm) and high heavy REY (HREY) complements (mean 49%), while seamount phosphorites have 4–6 times higher individual REY contents (except for Ce, which is subequal; mean ΣREY 727 ppm), and very high HREY complements (mean 60%). The predominant causes of higher concentrations and larger HREY complements in seamount phosphorites compared to CM phosphorites are age, changes in seawater REY concentrations over time, water depth of formation, changes in pH and complexing ligands, and differences in organic carbon content in the depositional environments. Potential ore deposits with high HREY complements, like the marine phosphorites analyzed here, could help supply the HREY needed for high-tech and green-tech applications without creating an oversupply of the LREY.
","language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Swizerland","doi":"10.3390/min6030088","usgsCitation":"Hein, J.R., Koschinsky, A., Mikesell, M., Mizell, K., Glenn, C.R., and Wood, R., 2016, Marine phosphorites as potential resources for heavy rare earth elements and yttrium: Minerals, v. 6, no. 3, Article 88: 22 p., https://doi.org/10.3390/min6030088.","productDescription":"Article 88: 22 p.","numberOfPages":"22","ipdsId":"IP-076789","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min6030088","text":"Publisher Index Page"},{"id":328428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-29","publicationStatus":"PW","scienceBaseUri":"57d3cf24e4b0571647d15f57","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koschinsky, Andrea","contributorId":83813,"corporation":false,"usgs":true,"family":"Koschinsky","given":"Andrea","affiliations":[],"preferred":false,"id":648461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mikesell, Mariah 0000-0001-9145-2237 mmikesell@usgs.gov","orcid":"https://orcid.org/0000-0001-9145-2237","contributorId":174512,"corporation":false,"usgs":true,"family":"Mikesell","given":"Mariah","email":"mmikesell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glenn, Craig R.","contributorId":10850,"corporation":false,"usgs":true,"family":"Glenn","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Ray","contributorId":174513,"corporation":false,"usgs":false,"family":"Wood","given":"Ray","email":"","affiliations":[{"id":27462,"text":"Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":648465,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176356,"text":"70176356 - 2016 - Genetic analysis shows that morphology alone cannot distinguish asian carp eggs from those of other cyprinid species","interactions":[],"lastModifiedDate":"2016-12-16T11:45:55","indexId":"70176356","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analysis shows that morphology alone cannot distinguish asian carp eggs from those of other cyprinid species","docAbstract":"Fish eggs and embryos (hereafter collectively referred to as “eggs”) were collected in the upper Mississippi River main stem (~300 km upstream of previously reported spawning by invasive Asian carp) during summer 2013. Based on previously published morphological characteristics, the eggs were identified as belonging to Asian carp. A subsample of the eggs was subsequently analyzed by using molecular methods to determine species identity. Genetic identification using the cytochrome-c oxidase 1 gene was attempted for a total of 41 eggs. Due to the preservation technique used (formalin) and the resulting DNA degradation, sequences were recovered from only 17 individual eggs. In all 17 cases, cyprinids other than Asian carp (usually Notropis sp.) were identified as the most likely species. In previously published reports, a key characteristic that distinguished Asian carp eggs from those of other cyprinids was size: Asian carp eggs exhibited diameters ranging from 4.0 to 6.0 mm and were thought to be much larger than the otherwise similar eggs of native species. Eggs from endemic cyprinids were believed to rarely reach 3.0 mm and had not been observed to exceed 3.3 mm. However, many of the eggs that were genetically identified as originating from native cyprinids were as large as 4.0 mm in diameter (at early developmental stages) and were therefore large enough to over- lap with the lower end of the size range observed for Asian carp eggs. Researchers studying the egg stages of Asian carp and other cyprinids should plan on preserving subsets of eggs for genetic analysis to confirm morphological identifications.","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1185057","usgsCitation":"Larson, J.H., McCalla, S.G., Chapman, D., Rees, C.B., Knights, B.C., Vallazza, J.M., George, A.E., Richardson, W.B., and Amberg, J., 2016, Genetic analysis shows that morphology alone cannot distinguish asian carp eggs from those of other cyprinid species: North American Journal of Fisheries Management, v. 36, no. 5, p. 1053-1058, https://doi.org/10.1080/02755947.2016.1185057.","productDescription":"5 p. 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A CE-QUAL-W2 flow and water-quality model of Link River was developed to provide a connection between an existing model of the upper Klamath River and any existing or future models of Upper Klamath Lake. Water-quality sampling at six locations in Link River was done during 2013–15 to support model development and to provide a better understanding of instream biogeochemical processes. The short reach and high velocities in Link River resulted in fast travel times and limited water-quality transformations, except for dissolved oxygen. Reaeration through the reach, especially at the falls in Link River, was particularly important in moderating dissolved oxygen concentrations that at times entered the reach at Link River Dam with marked supersaturation or subsaturation. This reaeration resulted in concentrations closer to saturation downstream at the mouth of Link River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161146","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Sullivan, A.B., and Rounds, S.A., 2016, Modeling water quality, temperature, and flow in Link River, south-central Oregon: U.S. Geological Survey Open-File Report 2016–1146, 31 p., https://dx.doi.org/10.3133/ofr20161146.","productDescription":"vi, 31 p.","numberOfPages":"41","onlineOnly":"Y","ipdsId":"IP-075012","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":328478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1146/coverthb.jpg"},{"id":328479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1146/ofr20161146.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1146"}],"country":"United States","state":"Oregon","otherGeospatial":"Link River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.80619239807129,\n 42.21510581314013\n ],\n [\n -121.80619239807129,\n 42.23576221780897\n ],\n [\n -121.7815589904785,\n 42.23576221780897\n ],\n [\n -121.7815589904785,\n 42.21510581314013\n ],\n [\n -121.80619239807129,\n 42.21510581314013\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov
Two new analytical methods have been developed by the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) that allow the determination of 37 heat purgeable volatile organic compounds (VOCs) (USGS Method O-4437-16 [NWQL Laboratory Schedule (LS) 4437]) and 49 ambient purgeable VOCs (USGS Method O-4436-16 [NWQL LS 4436]) in unfiltered water. This report documents the procedures and initial performance of both methods. The compounds chosen for inclusion in the methods were determined as having high priority by the USGS National Water-Quality Assessment (NAWQA) Program. Both methods use a purge-and-trap technique with gas chromatography/mass spectrometry. The compounds are extracted from the sample by bubbling helium through a 25-milliliter sample. For the polar and less volatile compounds, the sample is heated at 60 degrees Celsius, whereas the less polar and more volatile compounds are purged using a separate analytical procedure at ambient temperature. The compounds are trapped on a sorbent trap, desorbed into a gas chromatograph/mass spectrometer for separation, and then identified and quantified. Sample preservation is recommended for both methods by adding a 1:1 solution of hydrochloric acid (HCl [1:1]) to water samples to adjust the pH to 2. Analysis within 14 days from sampling is recommended.
The heat purgeable method (USGS Method O-4437-16) operates with the mass spectrometer in the simultaneous full scan/selected ion monitoring mode. This method supersedes USGS Method O-4024-03 (NWQL LS 4024). Method detection limits (MDLs) for fumigant compounds 1,2-dibromoethane, 1,2-dichloropropane, 1,2,3-trichloropropane, chloropicrin, and 1,2-dibromo-3-chloropropane range from 0.002 to 0.010 microgram per liter (µg/L). The MDLs for all remaining heat purgeable VOCs range from 0.006 µg/L for tert-butyl methyl ether to 3 µg/L for alpha-terpineol. Calculated holding times indicate that 36 of the 37 heat purgeable VOCs are stable for a minimum of 14 days preserved with HCl (1:1) to pH 2, and many are stable longer. Acrolein was retained in the method validation and initial method implementation and subsequently deleted because of instability and inconsistent performance. 2-Chloromethyl oxirane, methyl oxirane, and oxirane were tested using this method, but the compounds degraded quickly with the HCl (1:1) used for microbial preservation.
The ambient purgeable method, USGS Method O-4436-16, operates with the mass spectrometer in the full scan mode. This method is a modification of USGS Method O-4127-96 (NWQL LS 2020). Several compounds were retained from Method O-4127-96 and will continue to be determined in Method O-4436-16. Eleven high priority compounds were added. MDLs for the high priority compounds range from 0.007 µg/L for 2,2-dichloro-1,1,1-trifluoroethane to 0.04 µg/L for 1,2,3,4-tetrahydronaphthalene and 1,3-butadiene. Historical MDLs for the compounds retained from Method O-4127-96 range from 0.009 µg/L for trans-1,2-dichloroethene to 0.1 µg/L for bromomethane. The calculated holding times for the compounds indicate the majority of the compounds are stable for a minimum of 14 days, or longer, at pH 2 with HCl (1:1) preservation. Four semivolatile compounds, 1,2-dimethylnaphthalene, 1,6-dimethylnaphthalene, 2,6-di-tert-butyl phenol, and 2-chloronapthalene, were tested and deleted from the method due to poor performance. Benzyl chloride was tested and deleted due to instability.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: Methods of the National Water Quality Laboratory in Book 5: Laboratory Analysis","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5B12","usgsCitation":"Rose, D.L., Sandstrom, M.W., and Murtagh, L.K., 2016, Determination of heat purgeable and ambient purgeable volatile organic compounds in water by gas chromatography/mass spectrometry: U.S. Geological Survey Techniques and Methods, book 5, chap. B12, 61 p., https://dx.doi.org/10.3133/tm5B12.","productDescription":"Report: xi, 61 p.; Tables; Appendix Tables","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-050850","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":328047,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12_appendix_tables.xlsx","text":"Appendix Tables","size":"48.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"TM 5-B12 Appendix Tables"},{"id":328046,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12_tables.xlsx","text":"Tables","size":"436 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"TM 5-B12 Tables"},{"id":328045,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/05/b12/tm5b12.pdf","text":"Report","size":"5.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 5-B12"},{"id":328039,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/05/b12/coverthb.jpg"}],"publicComments":"This report in Chapter 12 of Section B: Methods of the National Water Quality Laboratory in Book 5: Laboratory Analysis.","contact":"Chief, USGS National Water Quality Laboratory
Box 25585, Mail Stop 407
Denver, CO 80225-0585
The Wolf Point quadrangle encompasses approximately 16,084 km2 (6,210 mi2). The northern boundary is the Montana/Saskatchewan (U.S.-Canada) boundary. The quadrangle is in the Northern Plains physiographic province and it includes the Peerless Plateau and Flaxville Plain. The primary river is the Missouri River.
The map units are surficial deposits and materials, not landforms. Deposits that comprise some constructional landforms (for example, ground-moraine deposits, end-moraine deposits, and stagnation-moraine deposits, all composed of till) are distinguished for purposes of reconstruction of glacial history. Surficial deposits and materials are assigned to 23 map units on the basis of genesis, age, lithology or composition, texture or particle size, and other physical, chemical, and engineering characteristics. It is not a map of soils that are recognized in pedology or agronomy. Rather, it is a generalized map of soils recognized in engineering geology, or of substrata or parent materials in which pedologic or agronomic soils are formed. Glaciotectonic (ice-thrust) structures and deposits are mapped separately, represented by a symbol. The surficial deposits are glacial, ice-contact, glaciofluvial, alluvial, lacustrine, eolian, colluvial, and mass-movement deposits.
Till of late Wisconsin age is represented by three map units. Till of Illinoian age also is mapped. Till deposited during pre-Illinoian glaciations is not mapped, but is widespread in the subsurface. Linear ice-molded landforms (primarily drumlins), shown by symbol, indicate directions of ice flow during late Wisconsin and Illinoian glaciations. The Quaternary geologic map of the Wolf Point quadrangle, northeastern Montana and North Dakota, was prepared to provide a database for compilation of a Quaternary geologic map of the Regina 4° × 6° quadrangle, United States and Canada, at scale 1:1,000,000, for the U.S. Geological Survey Quaternary Geologic Atlas of the United States map series. This map was compiled from data from many sources, at several different map scales. That information was generalized and simplified, and then transferred to a base map at 1:250,000 scale to serve as the base for final reduction to 1:1,000,000, the nominal reading scale of maps in the Quaternary Geologic Atlas of the United States map series. This map is the generalized and simplified 1:250,000 scale compilation. Letter symbols for the map units are those used for the same units in the Quaternary Geologic Atlas of the United States map series. The map summarizes new, and selected published and unpublished, geologic information for public use and for use by Federal, State, and local governmental agencies for land use planning, including assessment of natural resources, natural hazards, recreation potential, and land use management. It also is a base from which a variety of maps relating to earth surface processes and Quaternary geologic history can be derived.
Center Director, USGS Geosciences and Environmental Change Science Center
Box 25046, Mail Stop 980
Denver, CO 80225
Global climate change is a major threat to biodiversity. Large-scale analyses have generally focused on the impacts of climate change on the geographic ranges of species and on phenology, the timing of ecological phenomena. We used long-term monitoring of the abundance of breeding birds across Europe and the United States to produce, for both regions, composite population indices for two groups of species: those for which climate suitability has been either improving or declining since 1980. The ratio of these composite indices, the climate impact indicator (CII), reflects the divergent fates of species favored or disadvantaged by climate change. The trend in CII is positive and similar in the two regions. On both continents, interspecific and spatial variation in population abundance trends are well predicted by climate suitability trends.
","language":"English","publisher":"AAAS","publisherLocation":"New York, NY","doi":"10.1126/science.aac4858","usgsCitation":"Stephens, P.A., Mason, L.R., Green, R.E., Gregory, R., Sauer, J., Alison, J., Aunins, A., Brotons, L., Butchart, S.H., Campedelli, T., Chodkiewicz, T., Chylarecki, P., Crowe, O., Elts, J., Escandell, V., Foppen, R.P., Heldbjerg, H., Herrando, S., Husby, M., Jiguet, F., Lehikoinen, A., Lindstrom, A., Noble, D.G., Paquet, J., Reif, J., Sattler, T., Szep, T., Teufelbauer, N., Trautmann, S., Van Strien, A., van Turnhout, C., Vorisek, P., and Willis, S.G., 2016, Consistent response of bird populations to climate change on two continents: Science, v. 352, no. 6281, p. 84-87, https://doi.org/10.1126/science.aac4858.","productDescription":"4 p.","startPage":"84","endPage":"87","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":531,"text":"Patuxent Wildlife Research 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Aleksi","contributorId":174483,"corporation":false,"usgs":false,"family":"Lehikoinen","given":"Aleksi","email":"","affiliations":[],"preferred":false,"id":648371,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Lindstrom, Ake","contributorId":174484,"corporation":false,"usgs":false,"family":"Lindstrom","given":"Ake","email":"","affiliations":[],"preferred":false,"id":648372,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Noble, David G.","contributorId":174485,"corporation":false,"usgs":false,"family":"Noble","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":648373,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Paquet, Jean-Yves","contributorId":174486,"corporation":false,"usgs":false,"family":"Paquet","given":"Jean-Yves","email":"","affiliations":[],"preferred":false,"id":648374,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Reif, Jiri","contributorId":174487,"corporation":false,"usgs":false,"family":"Reif","given":"Jiri","email":"","affiliations":[],"preferred":false,"id":648375,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Sattler, Thomas","contributorId":174488,"corporation":false,"usgs":false,"family":"Sattler","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":648376,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Szep, Tibor","contributorId":174489,"corporation":false,"usgs":false,"family":"Szep","given":"Tibor","email":"","affiliations":[],"preferred":false,"id":648377,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Teufelbauer, Norbert","contributorId":174490,"corporation":false,"usgs":false,"family":"Teufelbauer","given":"Norbert","email":"","affiliations":[],"preferred":false,"id":648378,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Trautmann, Sven","contributorId":174491,"corporation":false,"usgs":false,"family":"Trautmann","given":"Sven","email":"","affiliations":[],"preferred":false,"id":648379,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Van Strien, Arco","contributorId":83271,"corporation":false,"usgs":true,"family":"Van Strien","given":"Arco","email":"","affiliations":[],"preferred":false,"id":648380,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"van Turnhout, Chris","contributorId":174492,"corporation":false,"usgs":false,"family":"van Turnhout","given":"Chris","email":"","affiliations":[],"preferred":false,"id":648381,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Vorisek, Petr","contributorId":174493,"corporation":false,"usgs":false,"family":"Vorisek","given":"Petr","email":"","affiliations":[],"preferred":false,"id":648382,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Willis, Stephen G.","contributorId":174494,"corporation":false,"usgs":false,"family":"Willis","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":648383,"contributorType":{"id":1,"text":"Authors"},"rank":33}]}} ,{"id":70176336,"text":"70176336 - 2016 - Piscivorous fish exhibit temperature-influenced binge feeding during an annual prey pulse","interactions":[],"lastModifiedDate":"2016-09-08T12:25:11","indexId":"70176336","displayToPublicDate":"2016-09-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Piscivorous fish exhibit temperature-influenced binge feeding during an annual prey pulse","docAbstract":"Sand Hollow Reservoir in Washington County, Utah, was completed in March 2002 and is operated primarily for managed aquifer recharge by the Washington County Water Conservancy District. From 2002 through 2014, diversions of about 216,000 acre-feet from the Virgin River to Sand Hollow Reservoir have allowed the reservoir to remain nearly full since 2006. Groundwater levels in monitoring wells near the reservoir rose through 2006 and have fluctuated more recently because of variations in reservoir stage and nearby pumping from production wells. Between 2004 and 2014, about 29,000 acre-feet of groundwater was withdrawn by these wells for municipal supply. In addition, about 31,000 acre-feet of shallow seepage was captured by French drains adjacent to the North and West Dams and used for municipal supply, irrigation, or returned to the reservoir. From 2002 through 2014, about 127,000 acre-feet of water seeped beneath the reservoir to recharge the underlying Navajo Sandstone aquifer.
Water quality continued to be monitored at various wells in Sand Hollow during 2013–14 to evaluate the timing and location of reservoir recharge as it moved through the aquifer. Changing geochemical conditions at monitoring wells WD 4 and WD 12 indicate rising groundwater levels and mobilization of vadose-zone salts, which could be a precursor to the arrival of reservoir recharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161078","collaboration":"Prepared in cooperation with the Washington County Water Conservancy District","usgsCitation":"Marston, T.M., and Heilweil, V.M., 2016, Assessment of managed aquifer recharge at Sand Hollow Reservoir, Washington County, Utah, updated to conditions through 2014: U.S. Geological Survey Open-File Report 2016–1078, 35 p., https://dx.doi.org/10.3133/ofr20161078.","productDescription":"vi, 35 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-065917","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":328183,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1078/coverthb.jpg"},{"id":328184,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1078/ofr20161078.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1078"}],"country":"United States","state":"Utah","county":"Washington County","otherGeospatial":"Sand Hollow Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.41289520263672,\n 37.09325224703316\n ],\n [\n -113.41289520263672,\n 37.15087639355426\n ],\n [\n -113.34148406982422,\n 37.15087639355426\n ],\n [\n -113.34148406982422,\n 37.09325224703316\n ],\n [\n -113.41289520263672,\n 37.09325224703316\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Utah Water Science Center
U.S. Geological Survey
2329 Orton Circle
Salt Lake City, Utah 84119
http://ut.water.usgs.gov/
Small marine snails and abalone have been identified as high- and low-risk prey items, respectively, for exposure of threatened southern sea otters to Toxoplasma gondii, a zoonotic parasite that can cause fatal encephalitis in animals and humans. While recent work has characterized snails as paratenic hosts for T. gondii, the ability of abalone to vector the parasite has not been evaluated. To further elucidate why abalone predation may be protective against T. gondii exposure, this study aimed to determine whether: (1) abalone are physiologically capable of acquiring T. gondii; and (2) abalone and snails differ in their ability to concentrate and retain the parasite. Abalone were exposed to T. gondii surrogate microspheres for 24 h, and fecal samples were examined for 2 weeks following exposure. Concentration of surrogates was 2–3 orders of magnitude greater in abalone feces than in the spiked seawater, and excretion of surrogates continued for 14 days post-exposure. These results indicate that, physiologically, abalone and snails can equally vector T. gondii as paratenic hosts. Reduced risk of T. gondii infection in abalone-specializing otters may therefore result from abalone's high nutritional value, which implies otters must consume fewer animals to meet their caloric needs.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0031182016001359","usgsCitation":"Schott, K.C., Krusor, C., Tinker, M.T., Moore, J.G., Conrad, P., and Shapiro, K., 2016, Concentration and retention of Toxoplasma gondii surrogates from seawater by red abalone (Haliotis rufescens): Parasitology, v. 143, no. 13, p. 1703-1712, https://doi.org/10.1017/S0031182016001359.","productDescription":"10 p.","startPage":"1703","endPage":"1712","ipdsId":"IP-076337","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"13","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"57d27d9de4b0571647d0d8f3","contributors":{"authors":[{"text":"Schott, Kristen C","contributorId":174467,"corporation":false,"usgs":false,"family":"Schott","given":"Kristen","email":"","middleInitial":"C","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":648312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krusor, Colin","contributorId":147097,"corporation":false,"usgs":false,"family":"Krusor","given":"Colin","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":648311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":648313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, James G. 0000-0002-7543-2401 jmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-7543-2401","contributorId":2892,"corporation":false,"usgs":true,"family":"Moore","given":"James","email":"jmoore@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":648315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrad, Patricia A.","contributorId":88289,"corporation":false,"usgs":true,"family":"Conrad","given":"Patricia A.","affiliations":[],"preferred":false,"id":648316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shapiro, Karen","contributorId":147100,"corporation":false,"usgs":false,"family":"Shapiro","given":"Karen","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":648317,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176333,"text":"70176333 - 2016 - Uncertainty in tsunami sediment transport modeling","interactions":[],"lastModifiedDate":"2016-09-14T14:34:28","indexId":"70176333","displayToPublicDate":"2016-09-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5206,"text":"Journal of Disaster Research","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty in tsunami sediment transport modeling","docAbstract":"Erosion and deposition from tsunamis record information about tsunami hydrodynamics and size that can be interpreted to improve tsunami hazard assessment. We explore sources and methods for quantifying uncertainty in tsunami sediment transport modeling. Uncertainty varies with tsunami, study site, available input data, sediment grain size, and model. Although uncertainty has the potential to be large, published case studies indicate that both forward and inverse tsunami sediment transport models perform well enough to be useful for deciphering tsunami characteristics, including size, from deposits. New techniques for quantifying uncertainty, such as Ensemble Kalman Filtering inversion, and more rigorous reporting of uncertainties will advance the science of tsunami sediment transport modeling. Uncertainty may be decreased with additional laboratory studies that increase our understanding of the semi-empirical parameters and physics of tsunami sediment transport, standardized benchmark tests to assess model performance, and development of hybrid modeling approaches to exploit the strengths of forward and inverse models.","language":"English","publisher":"Fuji Technology Press, Ltd.","publisherLocation":"Tokyo, Japan","doi":"10.20965/jdr.2016.p0647","usgsCitation":"Jaffe, B.E., Goto, K., Sugawara, D., Gelfenbaum, G.R., and La Selle, S., 2016, Uncertainty in tsunami sediment transport modeling: Journal of Disaster Research, v. 11, no. 4, p. 647-661, https://doi.org/10.20965/jdr.2016.p0647.","productDescription":"15 p.","startPage":"647","endPage":"661","numberOfPages":"15","ipdsId":"IP-075827","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470582,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.20965/jdr.2016.p0647","text":"Publisher Index Page"},{"id":328364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-01","publicationStatus":"PW","scienceBaseUri":"57d27d9fe4b0571647d0d904","contributors":{"authors":[{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goto, Kazuhisa","contributorId":174495,"corporation":false,"usgs":false,"family":"Goto","given":"Kazuhisa","email":"","affiliations":[{"id":27458,"text":"International Research Institute of Disaster Research, Tohoku University, Sendai, Japan","active":true,"usgs":false}],"preferred":false,"id":648385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sugawara, Daisuke","contributorId":174496,"corporation":false,"usgs":false,"family":"Sugawara","given":"Daisuke","email":"","affiliations":[{"id":27459,"text":"Museaum of Natural and Environmental History, Shizouka, Japan","active":true,"usgs":false}],"preferred":false,"id":648386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":648387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Selle, SeanPaul M. slaselle@usgs.gov","contributorId":5317,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul M.","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176294,"text":"70176294 - 2016 - Contemporary deposition and long-term accumulation of sediment and nutrients by tidal freshwater forested wetlands impacted by sea level rise","interactions":[],"lastModifiedDate":"2016-09-07T15:41:36","indexId":"70176294","displayToPublicDate":"2016-09-07T16:40:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Contemporary deposition and long-term accumulation of sediment and nutrients by tidal freshwater forested wetlands impacted by sea level rise","docAbstract":"Contemporary deposition (artificial marker horizon, 3.5 years) and long-term accumulation rates (210Pb profiles, ~150 years) of sediment and associated carbon (C), nitrogen (N), and phosphorus (P) were measured in wetlands along the tidal Savannah and Waccamaw rivers in the southeastern USA. Four sites along each river spanned an upstream-to-downstream salinification gradient, from upriver tidal freshwater forested wetland (TFFW), through moderately and highly salt-impacted forested wetlands, to oligohaline marsh downriver. Contemporary deposition rates (sediment, C, N, and P) were greatest in oligohaline marsh and lowest in TFFW along both rivers. Greater rates of deposition in oligohaline and salt-stressed forested wetlands were associated with a shift to greater clay and metal content that is likely associated with a change from low availability of watershed-derived sediment to TFFW and to greater availability of a coastal sediment source to oligohaline wetlands. Long-term accumulation rates along the Waccamaw River had the opposite spatial pattern compared to contemporary deposition, with greater rates in TFFW that declined to oligohaline marsh. Long-term sediment and elemental mass accumulation rates also were 3–9× lower than contemporary deposition rates. In comparison to other studies, sediment and associated nutrient accumulation in TFFW are lower than downriver/estuarine freshwater, oligohaline, and salt marshes, suggesting a reduced capacity for surface sedimentation (short-term) as well as shallow soil processes (long-term sedimentation) to offset sea level rise in TFFW. Nonetheless, their potentially large spatial extent suggests that TFFW have a large impact on the transport and fate of sediment and nutrients in tidal rivers and estuaries.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-016-0066-4","usgsCitation":"Noe, G.E., Hupp, C.R., Bernhardt, C.E., and Krauss, K.W., 2016, Contemporary deposition and long-term accumulation of sediment and nutrients by tidal freshwater forested wetlands impacted by sea level rise: Estuaries and Coasts, v. 39, no. 4, p. 1006-1019, https://doi.org/10.1007/s12237-016-0066-4.","productDescription":"14 p.","startPage":"1006","endPage":"1019","ipdsId":"IP-068994","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":328338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-12","publicationStatus":"PW","scienceBaseUri":"57d12c1de4b0571647cec207","chorus":{"doi":"10.1007/s12237-016-0066-4","url":"http://dx.doi.org/10.1007/s12237-016-0066-4","publisher":"Springer Nature","authors":"Noe Gregory B., Hupp Cliff R., Bernhardt Christopher E., Krauss Ken W.","journalName":"Estuaries and Coasts","publicationDate":"1/12/2016","auditedOn":"7/29/2016","publiclyAccessibleDate":"1/12/2016"},"contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":648237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":648238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":648239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":648240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176291,"text":"70176291 - 2016 - Richness, biomass, and nutrient content of a wetland macrophyte community affect soil nitrogen cycling in a diversity-ecosystem functioning experiment","interactions":[],"lastModifiedDate":"2016-09-07T15:44:17","indexId":"70176291","displayToPublicDate":"2016-09-07T16:40:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Richness, biomass, and nutrient content of a wetland macrophyte community affect soil nitrogen cycling in a diversity-ecosystem functioning experiment","docAbstract":"The development of soil nitrogen (N) cycling in created wetlands promotes the maturation of multiple biogeochemical cycles necessary for ecosystem functioning. This development proceeds from gradual changes in soil physicochemical properties and influential characteristics of the plant community, such as competitive behavior, phenology, productivity, and nutrient composition. In the context of a 2-year diversity experiment in freshwater mesocosms (0, 1, 2, 3, or 4 richness levels), we assessed the direct and indirect impacts of three plant community characteristics – species richness, total biomass, and tissue N concentration – on three processes in the soil N cycle – soil net ammonification, net nitrification, and denitrification potentials. Species richness had a positive effect on net ammonification potential (NAP) through higher redox potentials and likely faster microbial respiration. All NAP rates were negative, however, due to immobilization and high rates of ammonium removal. Net nitrification was inhibited at higher species richness without mediation from the measured soil properties. Higher species richness also inhibited denitrification potential through increased redox potential and decreased nitrification. Both lower biomass and/or higher tissue ratios of carbon to nitrogen, characteristics indicative of the two annual plants, were shown to have stimulatory effects on all three soil N processes. The two mediating physicochemical links between the young macrophyte community and microbial N processes were soil redox potential and temperature. Our results suggest that early-successional annual plant communities play an important role in the development of ecosystem N multifunctionality in newly created wetland soils.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.06.057","usgsCitation":"Korol, A.R., Ahn, C., and Noe, G.E., 2016, Richness, biomass, and nutrient content of a wetland macrophyte community affect soil nitrogen cycling in a diversity-ecosystem functioning experiment: Ecological Engineering, v. 95, p. 252-265, https://doi.org/10.1016/j.ecoleng.2016.06.057.","productDescription":"14 p.","startPage":"252","endPage":"265","ipdsId":"IP-075989","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":328340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d12c22e4b0571647cec248","contributors":{"authors":[{"text":"Korol, Alicia R.","contributorId":174405,"corporation":false,"usgs":false,"family":"Korol","given":"Alicia","email":"","middleInitial":"R.","affiliations":[{"id":27449,"text":"Department of Environmental Science and Policy, George Mason University, 4400 University Drive, Fairfax, VA, 22030","active":true,"usgs":false}],"preferred":false,"id":648211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahn, Changwoo","contributorId":38047,"corporation":false,"usgs":true,"family":"Ahn","given":"Changwoo","affiliations":[],"preferred":false,"id":648212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":648210,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176299,"text":"70176299 - 2016 - Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains","interactions":[],"lastModifiedDate":"2016-09-16T16:19:51","indexId":"70176299","displayToPublicDate":"2016-09-07T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains","docAbstract":"Human reliance on insect pollination services continues to increase even as pollinator populations exhibit global declines. Increased commodity crop prices and federal subsidies for biofuel crops, such as corn and soybeans, have contributed to rapid land-use change in the US Northern Great Plains (NGP), changes that may jeopardize habitat for honey bees in a part of the country that supports >40% of the US colony stock. We investigated changes in biofuel crop production and grassland land covers surrounding ∼18,000 registered commercial apiaries in North and South Dakota from 2006 to 2014. We then developed habitat selection models to identify remotely sensed land-cover and land-use features that influence apiary site selection by Dakota beekeepers. Our study demonstrates a continual increase in biofuel crops, totaling 1.2 Mha, around registered apiary locations in North and South Dakota. Such crops were avoided by commercial beekeepers when selecting apiary sites in this region. Furthermore, our analysis reveals how grasslands that beekeepers target when selecting commercial apiary locations are becoming less common in eastern North and South Dakota, changes that may have lasting impact on pollinator conservation efforts. Our study highlights how land-use change in the NGP is altering the landscape in ways that are seemingly less conducive to beekeeping. Our models can be used to guide future conservation efforts highlighted in the US national pollinator health strategy by identifying areas that support high densities of commercial apiaries and that have exhibited significant land-use changes.
","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1603481113","usgsCitation":"Otto, C., Roth, C.L., Carlson, B., and Smart, M., 2016, Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains: Proceedings of the National Academy of Sciences, v. 113, no. 7, p. 10430-10435, https://doi.org/10.1073/pnas.1603481113.","productDescription":"6 p.","startPage":"10430","endPage":"10435","ipdsId":"IP-073722","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1603481113","text":"Publisher Index Page"},{"id":328335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South 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Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Benjamin bcarlson@usgs.gov","contributorId":174423,"corporation":false,"usgs":true,"family":"Carlson","given":"Benjamin","email":"bcarlson@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smart, Matthew 0000-0003-0711-3035 msmart@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-3035","contributorId":174424,"corporation":false,"usgs":true,"family":"Smart","given":"Matthew","email":"msmart@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176263,"text":"70176263 - 2016 - Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau","interactions":[],"lastModifiedDate":"2016-12-16T12:35:31","indexId":"70176263","displayToPublicDate":"2016-09-07T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau","docAbstract":"There is increased understanding of the role of bryophytes in supporting invertebrate biomass and for their influence on nutrient cycling and carbon balance in aquatic systems, but the structural and functional role of bryophytes growing in seasonally inundated habitats is substantially less studied. We conducted a study on the Middle Oconee River, near Athens, GA, to assess invertebrate abundance and organic-matter retention in seasonally inundated patches of the liverwort Porella pinnata, a species that tends to be submerged only when water levels in rivers are substantially above base flow. Aquatic invertebrate utilization of these seasonally inundated habitats has rarely been investigated. Macroinvertebrate biomass, insect density, and organic-matter content were significantly greater in patches of P. pinnata than on adjacent bare rock. Bryophyte biomass explained additional variation in organic matter, insect biomass, and density. The most abundant insects in P. pinnata patches were Dipterans and Plecopterans. Our results suggest an important structural role of seasonally inundated bryophyte habitats in riverine ecosystems.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.015.0303","usgsCitation":"Wood, J., Pattillo, M., and Freeman, M., 2016, Organic-matter retention and macroinvertebrate utilization of seasonally inundated bryophytes in a mid-order Piedmont River: Southeastern Naturalist, v. 15, no. 3, p. 403-414, https://doi.org/10.1656/058.015.0303.","productDescription":"12 p.","startPage":"403","endPage":"414","ipdsId":"IP-074380","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","city":"Athens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.57368469238281,\n 33.88580745357739\n ],\n [\n -83.57368469238281,\n 34.05436610955984\n ],\n [\n -83.37352752685547,\n 34.05436610955984\n ],\n [\n -83.37352752685547,\n 33.88580745357739\n ],\n [\n -83.57368469238281,\n 33.88580745357739\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d12c21e4b0571647cec240","contributors":{"authors":[{"text":"Wood, James","contributorId":174400,"corporation":false,"usgs":false,"family":"Wood","given":"James","affiliations":[],"preferred":false,"id":648204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pattillo, Meryom","contributorId":174401,"corporation":false,"usgs":false,"family":"Pattillo","given":"Meryom","email":"","affiliations":[],"preferred":false,"id":648205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648102,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176264,"text":"70176264 - 2016 - Detecting failure of climate predictions","interactions":[],"lastModifiedDate":"2016-09-07T10:55:50","indexId":"70176264","displayToPublicDate":"2016-09-07T11:55:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Detecting failure of climate predictions","docAbstract":"The practical consequences of climate change challenge society to formulate responses that are more suited to achieving long-term objectives, even if those responses have to be made in the face of uncertainty1, 2. Such a decision-analytic focus uses the products of climate science as probabilistic predictions about the effects of management policies3. Here we present methods to detect when climate predictions are failing to capture the system dynamics. For a single model, we measure goodness of fit based on the empirical distribution function, and define failure when the distribution of observed values significantly diverges from the modelled distribution. For a set of models, the same statistic can be used to provide relative weights for the individual models, and we define failure when there is no linear weighting of the ensemble models that produces a satisfactory match to the observations. Early detection of failure of a set of predictions is important for improving model predictions and the decisions based on them. We show that these methods would have detected a range shift in northern pintail 20 years before it was actually discovered, and are increasingly giving more weight to those climate models that forecast a September ice-free Arctic by 2055.
","language":"English","publisher":"Nature","doi":"10.1038/nclimate3041","usgsCitation":"Runge, M.C., Stroeve, J.C., Barrett, A.P., and McDonald-Madden, E., 2016, Detecting failure of climate predictions: Nature Climate Change, v. 6, p. 861-864, https://doi.org/10.1038/nclimate3041.","productDescription":"4 p.","startPage":"861","endPage":"864","ipdsId":"IP-064694","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470584,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://discovery.ucl.ac.uk/id/eprint/1522583/","text":"External Repository"},{"id":328306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-30","publicationStatus":"PW","scienceBaseUri":"57d12c1de4b0571647cec20b","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stroeve, Julienne C.","contributorId":174371,"corporation":false,"usgs":false,"family":"Stroeve","given":"Julienne","email":"","middleInitial":"C.","affiliations":[{"id":27440,"text":"National Snow and Ice Data Center","active":true,"usgs":false}],"preferred":false,"id":648127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Andrew P.","contributorId":174372,"corporation":false,"usgs":false,"family":"Barrett","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":27440,"text":"National Snow and Ice Data Center","active":true,"usgs":false}],"preferred":false,"id":648128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald-Madden, Eve","contributorId":139968,"corporation":false,"usgs":false,"family":"McDonald-Madden","given":"Eve","email":"","affiliations":[{"id":13337,"text":"CSIRO Ecosystem Services, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":648129,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176265,"text":"70176265 - 2016 - Estimating indices of range shifts in birds using dynamic models when detection is imperfect","interactions":[],"lastModifiedDate":"2016-09-07T10:54:03","indexId":"70176265","displayToPublicDate":"2016-09-07T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating indices of range shifts in birds using dynamic models when detection is imperfect","docAbstract":"There is intense interest in basic and applied ecology about the effect of global change on current and future species distributions. Projections based on widely used static modeling methods implicitly assume that species are in equilibrium with the environment and that detection during surveys is perfect. We used multiseason correlated detection occupancy models, which avoid these assumptions, to relate climate data to distributional shifts of Louisiana Waterthrush in the North American Breeding Bird Survey (BBS) data. We summarized these shifts with indices of range size and position and compared them to the same indices obtained using more basic modeling approaches. Detection rates during point counts in BBS surveys were low, and models that ignored imperfect detection severely underestimated the proportion of area occupied and slightly overestimated mean latitude. Static models indicated Louisiana Waterthrush distribution was most closely associated with moderate temperatures, while dynamic occupancy models indicated that initial occupancy was associated with diurnal temperature ranges and colonization of sites was associated with moderate precipitation. Overall, the proportion of area occupied and mean latitude changed little during the 1997–2013 study period. Near-term forecasts of species distribution generated by dynamic models were more similar to subsequently observed distributions than forecasts from static models. Occupancy models incorporating a finite mixture model on detection – a new extension to correlated detection occupancy models – were better supported and may reduce bias associated with detection heterogeneity. We argue that replacing phenomenological static models with more mechanistic dynamic models can improve projections of future species distributions. In turn, better projections can improve biodiversity forecasts, management decisions, and understanding of global change biology.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13283","usgsCitation":"Clement, M.J., Hines, J., Nichols, J., Pardieck, K.L., and Ziolkowski, D., 2016, Estimating indices of range shifts in birds using dynamic models when detection is imperfect: Global Change Biology, v. 22, no. 10, p. 3273-3285, https://doi.org/10.1111/gcb.13283.","productDescription":"13 p.","startPage":"3273","endPage":"3285","ipdsId":"IP-069235","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-12","publicationStatus":"PW","scienceBaseUri":"57d12c1fe4b0571647cec225","contributors":{"authors":[{"text":"Clement, Matthew J. mclement@usgs.gov","contributorId":5278,"corporation":false,"usgs":true,"family":"Clement","given":"Matthew","email":"mclement@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ziolkowski, David J. Jr. 0000-0002-2500-4417 dziolkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-2500-4417","contributorId":4103,"corporation":false,"usgs":true,"family":"Ziolkowski","given":"David J.","suffix":"Jr.","email":"dziolkowski@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648134,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}