Since 2001, irrigators in the upper Klamath Basin have increasingly turned to groundwater to compensate for reductions in surface-water allocation caused by shifts from irrigation use to instream flows for Endangered Species Act listed fishes. The largest increase in groundwater pumping has been in and around the Bureau of Reclamation’s Klamath Irrigation Project, which includes the Tule Lake subbasin in the southern part of the upper Klamath Basin. Agricultural drains on the Klamath Project are an important source of water for downstream irrigators and for the Tule Lake and Lower Klamath Lake National Wildlife Refuges. U.S. Geological Survey regional groundwater-flow model simulations and records of irrigation-return flow pumped from the Tule Lake subbasin into the adjacent Lower Klamath Lake subbasin have indicated that water-level declines from pumping may be causing decreased flow of shallow groundwater to agricultural drains.
\nTo better define the effect of increased pumping on drain flow and on the water balance of the groundwater system, the annual water volume pumped from drains in three subareas of the Tule Lake subbasin was estimated and a fine-grid, local groundwater model of the Tule Lake subbasin was constructed. Results of the agricultural-drain flow analysis indicate that groundwater discharge to drains has decreased such that flows in 2012 were approximately 32,400 acre-ft less than the 1997–2000 average flow. This decrease was concentrated in the northern and southeastern parts of the subbasin, which corresponds with the areas of greatest groundwater pumping. Model simulation results of the Tule Lake subbasin groundwater model indicate that increased supplemental pumping is the dominant stress to the groundwater system in the subbasin. Simulated supplemental pumping and decreased recharge from irrigation between 2000 and 2010 totaled 323,573 acre-ft, 234,800 acre-ft (73 percent) of which was from supplemental pumping. The response of the groundwater system to this change in stress included about 180,500 acre-ft (56 percent) of decreased groundwater discharge to drains and a 126,000 acre-ft (39 percent) reduction in aquifer storage. The remaining 5 percent came from reduced groundwater flow to other model boundaries, including the Lost River, the Tule Lake sumps, and interbasin flow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155087","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the U.S. Fish and Wildlife Service","usgsCitation":"Pischel, E.M., and Gannett, M.W., 2015, Effects of groundwater pumping on agricultural drains in the Tule Lake subbasin, Oregon and California: U.S. Geological Survey Scientific Investigations Report 2015–5087, 44 p.,\nhttps://dx.doi.org/10.3133/sir20155087.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055376","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":305972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5087/coverthb.jpg"},{"id":305973,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5087/sir20155087.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5087"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Tule Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.58020019531249,\n 41.80817277478235\n ],\n [\n -121.58020019531249,\n 42.04317376494972\n ],\n [\n -121.3604736328125,\n 42.04317376494972\n ],\n [\n -121.3604736328125,\n 41.80817277478235\n ],\n [\n -121.58020019531249,\n 41.80817277478235\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
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Groundwater is available in many parts of the world, but the quality of the water may limit its use. Contaminants can limit the use of groundwater through concerns associated with human health, aquatic health, economic costs, or even societal perception. Given this broad range of concerns, this chapter focuses on examples of how water quality issues influence integrated groundwater management. One example evaluates the importance of a naturally occurring contaminant Arsenic (As) for drinking water supply, one explores issues resulting from agricultural activities on the land surface and factors that influence related groundwater management, and the last examines unique issues that result from human-introduced viral pathogens for groundwater-derived drinking water vulnerability. The examples underscore how integrated groundwater management lies at the intersections of environmental characterization, engineering constraints, societal needs, and human perception of acceptable water quality. As such, water quality factors can be a key driver for societal decision making.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated groundwater management: Concepts, approaches and challenges","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-23576-9_14","usgsCitation":"Warner, K., Barataud, F., Hunt, R.J., Benoit, M., Anglade, J., and Borchardt, M., 2015, Interactions of water quality and integrated groundwater management: Examples from the United States and Europe, chap. 14 of Integrated groundwater management: Concepts, approaches and challenges, p. 347-376, https://doi.org/10.1007/978-3-319-23576-9_14.","productDescription":"30 p.","startPage":"347","endPage":"376","ipdsId":"IP-059683","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":489227,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_14","text":"Publisher Index Page"},{"id":341665,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59269bb7e4b0b7ff9fb4896f","contributors":{"authors":[{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barataud, Fabienne","contributorId":138682,"corporation":false,"usgs":false,"family":"Barataud","given":"Fabienne","email":"","affiliations":[{"id":12489,"text":"DIM Agrosciences, Ecologie des Territoires, Alimentation (ASTREA), France","active":true,"usgs":false}],"preferred":false,"id":538331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benoit, Marc","contributorId":138683,"corporation":false,"usgs":false,"family":"Benoit","given":"Marc","email":"","affiliations":[{"id":12490,"text":"French National Institute for Agricultural Research","active":true,"usgs":false}],"preferred":false,"id":538332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anglade, Juliette","contributorId":138684,"corporation":false,"usgs":false,"family":"Anglade","given":"Juliette","email":"","affiliations":[{"id":12491,"text":"Pierre and Marie Curie University, France","active":true,"usgs":false}],"preferred":false,"id":538333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borchardt, Mark A.","contributorId":106255,"corporation":false,"usgs":true,"family":"Borchardt","given":"Mark A.","affiliations":[],"preferred":false,"id":538334,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159315,"text":"70159315 - 2015 - Final project memorandum: sea-level rise modeling handbook: resource guide for resource managers, engineers, and scientists","interactions":[],"lastModifiedDate":"2016-07-11T15:43:49","indexId":"70159315","displayToPublicDate":"2016-06-06T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Final project memorandum: sea-level rise modeling handbook: resource guide for resource managers, engineers, and scientists","docAbstract":"Coastal wetlands of the Southeastern United States are undergoing retreat and migration from increasing tidal inundation and saltwater intrusion attributed to climate variability and sea-level rise. Much of the literature describing potential sea-level rise projections and modeling predictions are found in peer-reviewed academic journals or government technical reports largely suited to reading by other Ph.D. scientists who are more familiar or engaged in the climate change debate. Various sea-level rise and coastal wetland models have been developed and applied of different designs and scales of spatial and temporal complexity for predicting habitat and environmental change that have not heretofore been synthesized to aid natural resource managers of their utility and limitations. Training sessions were conducted with Federal land managers with U.S. Fish and Wildlife Service, National Park Service, and NOAA National Estuarine Research Reserves as well as state partners and nongovernmental organizations across the northern Gulf Coast from Florida to Texas to educate and to evaluate user needs and understanding of concepts, data, and modeling tools for projecting sea-level rise and its impact on coastal habitats and wildlife. As a result, this handbook was constructed from these training and feedback sessions with coastal managers and biologists of published decision-support tools and simulation models for sea-level rise and climate change assessments. A simplified tabular context was developed listing the various kinds of decision-support tools and ecological models along with criteria to distinguish the source, scale, and quality of information input and geographic data sets, physical and biological constraints and relationships, datum characteristics of water and land elevation components, utility options for setting sea-level rise and climate change scenarios, and ease or difficulty of storing, displaying, or interpreting model output. The handbook is designed to be a primer to understanding sea-level rise and a practical synthesis of the current state of knowledge and modeling tools as a resource guide for DOl land management needs and facilitating Landscape Conservation Cooperative (LCC) research and conservation initiatives.
","language":"English","collaboration":"Southeast Climate Science Center","usgsCitation":"Doyle, T.W., 2015, Final project memorandum: sea-level rise modeling handbook: resource guide for resource managers, engineers, and scientists.","productDescription":"8 p.","startPage":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065874","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":310250,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencebase.gov/catalog/item/560c29c2e4b058f706e540f9","text":"Final Memo for A Handbook for Resource Managers to Understand and Utilize Sea-Level Rise and Coastal Wetland Models for Ecosystem Management under Future Conditions","size":"120.61 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Final Memo for A Handbook for Resource Managers to Understand and Utilize Sea-Level Rise and Coastal Wetland Models for Ecosystem Management under Future Conditions"},{"id":322358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5756909de4b023b96ec20aa0","contributors":{"authors":[{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":577988,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173621,"text":"70173621 - 2015 - Using hierarchical Bayesian multi-species mixture models to estimate tandem hoop-net based habitat associations and detection probabilities of fishes in reservoirs","interactions":[],"lastModifiedDate":"2022-11-01T17:11:12.497163","indexId":"70173621","displayToPublicDate":"2016-04-11T00:00:00","publicationYear":"2015","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":"Using hierarchical Bayesian multi-species mixture models to estimate tandem hoop-net based habitat associations and detection probabilities of fishes in reservoirs","docAbstract":"Species distribution models are useful tools to evaluate habitat relationships of fishes. We used hierarchical Bayesian multispecies mixture models to evaluate the relationships of both detection and abundance with habitat of reservoir fishes caught using tandem hoop nets. A total of 7,212 fish from 12 species were captured, and the majority of the catch was composed of Channel Catfish Ictalurus punctatus (46%), Bluegill Lepomis macrochirus(25%), and White Crappie Pomoxis annularis (14%). Detection estimates ranged from 8% to 69%, and modeling results suggested that fishes were primarily influenced by reservoir size and context, water clarity and temperature, and land-use types. Species were differentially abundant within and among habitat types, and some fishes were found to be more abundant in turbid, less impacted (e.g., by urbanization and agriculture) reservoirs with longer shoreline lengths; whereas, other species were found more often in clear, nutrient-rich impoundments that had generally shorter shoreline length and were surrounded by a higher percentage of agricultural land. Our results demonstrated that habitat and reservoir characteristics may differentially benefit species and assemblage structure. This study provides a useful framework for evaluating capture efficiency for not only hoop nets but other gear types used to sample fishes in reservoirs.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2016.1143395","usgsCitation":"Stewart, D., and Long, J.M., 2015, Using hierarchical Bayesian multi-species mixture models to estimate tandem hoop-net based habitat associations and detection probabilities of fishes in reservoirs: Transactions of the American Fisheries Society, v. 145, no. 3, p. 450-461, https://doi.org/10.1080/00028487.2016.1143395.","productDescription":"12 p.","startPage":"450","endPage":"461","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058011","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Lake Greenleaf, Lake Lone Chimney, Lake McMurtry, Lake Okemah, Lake Okmulgee, Lake Ponca,","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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We tested the efficacy of hydroxide stabilization as a ballast disinfection tool in replicated, sequential field trials on board the M/V Ranger III in waters of Lake Superior. Ballast water was introduced into each of four identical 1,320 L stainless steel tanks during a simulated ballasting operation. Two tanks were treated with NaOH to elevate the pH to 11.7 and the remaining two tanks were held as controls without pH alteration. After retention on board for 14–18 h, CO2-rich gas recovered from one of two diesel propulsion engines was sparged into tanks treated with NaOH for 2 h to force conversion of NaOH ultimately to sodium bicarbonate, thereby lowering pH to about 7.1. Prior to gas sparging, the engine exhaust was treated by a unique catalytic converter/wet scrubber process train to remove unwanted combustion byproducts and to provide cooling. The contents of each tank were then drained and filtered through 35-µm mesh plankton nets to collect all zooplankton. The composition and relative survival of zooplankton in each tank were evaluated by microscopy. Zooplankton populations were dominated by rotifers, but copepods and cladocerans were also observed. Hydroxide stabilization was 100% effective in killing all zooplankton present at the start of the tests. Our results suggest hydroxide stabilization has potential to be an effective and practical tool to disinfect ship ballast. Further, using CO2 released from the ship engine reduces emissions and the neutralized by product, sodium bicarbonate, can have beneficial impacts on the aquatic environment.
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Southern Resident killer whales (Orcinus orca) comprise an endangered population that is frequently observed by a large whale watching fleet in the inland waters of Washington state and British Columbia. One of the factors identified as a risk to recovery for the population is the effect of vessels and associated noise. An examination of the effects of vessels and associated noise on whale behavior utilized novel equipment to address limitations of previous studies. Digital acoustic recording tags (DTAGs) measured the noise levels the tagged whales received while laser positioning systems allowed collection of geo-referenced data for tagged whales and all vessels within 1000 m of the tagged whale. The objective of the current study was to compare vessel data and DTAG recordings to relate vessel traffic to the ambient noise received by tagged whales. Two analyses were conducted, one including all recording intervals, and one that excluded intervals when only the research vessel was present. For all data, significant predictors of noise levels were length (inverse relationship), number of propellers, and vessel speed, but only 15% of the variation in noise was explained by this model. When research-vessel-only intervals were excluded, vessel speed was the only significant predictor of noise levels, and explained 42% of the variation. Simple linear regressions (ignoring covariates) found that average vessel speed and number of propellers were the only significant correlates with noise levels. We conclude that vessel speed is the most important predictor of noise levels received by whales in this study. Thus, measures that reduce vessel speed in the vicinity of killer whales would reduce noise exposure in this population.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0140119","usgsCitation":"Houghton, J., Holt, M.M., Giles, D.A., Hanson, M.B., Emmons, C.K., Hogan, J.T., Branch, T., and VanBlaricom, G.R., 2015, The relationship between vessel traffic and noise levels received by killer whales (Orcinus orca): PLoS ONE, v. 10, no. 12, p. 1-20, https://doi.org/10.1371/journal.pone.0140119.","productDescription":"20 p.","startPage":"1","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065949","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0140119","text":"Publisher Index Page"},{"id":323889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Vancouver, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.67265319824217,\n 48.76343113791796\n ],\n [\n -122.92602539062501,\n 48.772935170565056\n ],\n [\n -123.25149536132811,\n 48.69232017824781\n ],\n [\n -123.21098327636719,\n 48.569337856144415\n ],\n [\n -123.14987182617188,\n 48.45653041501911\n ],\n [\n -123.09219360351561,\n 48.41826449418743\n ],\n [\n -123.16635131835938,\n 48.35442390123028\n ],\n [\n -122.79968261718749,\n 48.28502057399577\n ],\n [\n -122.70217895507811,\n 48.37449671682332\n ],\n [\n -122.74063110351562,\n 48.4765629664158\n ],\n [\n -122.684326171875,\n 48.521152504948994\n ],\n [\n -122.64862060546875,\n 48.596592251456705\n ],\n [\n -122.62527465820311,\n 48.63563125791999\n ],\n [\n -122.56484985351561,\n 48.634723716904\n ],\n [\n -122.67265319824217,\n 48.76343113791796\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"57651f3be4b07657d19c793d","contributors":{"authors":[{"text":"Houghton, Juliana","contributorId":172082,"corporation":false,"usgs":false,"family":"Houghton","given":"Juliana","email":"","affiliations":[],"preferred":false,"id":639560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holt, Marla M.","contributorId":172083,"corporation":false,"usgs":false,"family":"Holt","given":"Marla","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giles, Deborah A.","contributorId":172084,"corporation":false,"usgs":false,"family":"Giles","given":"Deborah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, M. Bradley","contributorId":172085,"corporation":false,"usgs":false,"family":"Hanson","given":"M.","email":"","middleInitial":"Bradley","affiliations":[],"preferred":false,"id":639563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emmons, Candice K.","contributorId":172086,"corporation":false,"usgs":false,"family":"Emmons","given":"Candice","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":639564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hogan, Jeffrey T.","contributorId":172087,"corporation":false,"usgs":false,"family":"Hogan","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":639565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Branch, Trevor A.","contributorId":172088,"corporation":false,"usgs":false,"family":"Branch","given":"Trevor A.","affiliations":[],"preferred":false,"id":639566,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"VanBlaricom, Glenn R. glennvb@usgs.gov","contributorId":3540,"corporation":false,"usgs":true,"family":"VanBlaricom","given":"Glenn","email":"glennvb@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637195,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70168745,"text":"70168745 - 2015 - Effectiveness of backpack electrofishing for removal of non-native fishes from a small warm-water stream","interactions":[],"lastModifiedDate":"2016-03-02T11:27:18","indexId":"70168745","displayToPublicDate":"2016-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2530,"text":"Journal of the Arizona-Nevada Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of backpack electrofishing for removal of non-native fishes from a small warm-water stream","docAbstract":"Electrofishing is commonly used when renovating small streams to remove nuisance fishes but the likelihood of complete eradication of unwanted species, particularly warm-water fishes, is unknown. In October of 2008, we electrofished Bonita Creek, a small stream with base flows (<0.56 m3/s) in southern Arizona, and then treated the stream with rotenone to kill all of the remaining fish and quantify the effectiveness of single and multiple-pass electro fishing. Six, 100-m transects were electro fished on three consecutive days followed by a single treatment with rotenone. Fish caught using electrofishing were identified, counted and removed from each transect daily and then compared to numbers of dead fish collected during the subsequent rotenone application. Electrofishing effectiveness was highly variable among transects. Single-pass electrofishing caught an average of 23% (95% CI=5 to 40%) of the fish present, and three-pass electrofishing on consecutive days caught on average 55% (95% CI=28 to 83%) of the fish in each transect. Native Arizona fishes were more susceptible to electrofishing (77 % captured) than non-native species (54% captured), though native fish were rare. Transects in Bonita Creek averaged 3.6±1.5 m wide and 0.25±0.20 m deep (max depth 1.2 m). Bonita Creek is a small first-order stream which exhibits ideal conditions for backpack electrofishing, yet we captured a relatively small percentage of the fish present. This suggests that complete removal of non-native warm-water fishes using backpack electrofishing is not likely to be successful, especially in larger more complex streams.
","language":"English","publisher":"The Arizona-Nevada Academy of Science","doi":"10.2181/036.046.0202","usgsCitation":"Ward, D.L., O’neill, M.W., and Ka’apu-Lyons, C., 2015, Effectiveness of backpack electrofishing for removal of non-native fishes from a small warm-water stream: Journal of the Arizona-Nevada Academy of Science, v. 46, no. 2, p. 37-41, https://doi.org/10.2181/036.046.0202.","productDescription":"5 p.","startPage":"37","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059255","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56d81cc6e4b015c306f62bf4","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":621624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’neill, Matthew W.","contributorId":167289,"corporation":false,"usgs":false,"family":"O’neill","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":621755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ka’apu-Lyons, Cassie","contributorId":167290,"corporation":false,"usgs":false,"family":"Ka’apu-Lyons","given":"Cassie","email":"","affiliations":[{"id":17202,"text":"University of Hawaii, Manoa","active":true,"usgs":false}],"preferred":false,"id":621756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173496,"text":"70173496 - 2015 - Predictive modelling of habitat use by marine predators with respect to the abundance and depth distribution of pelagic prey","interactions":[],"lastModifiedDate":"2016-06-17T11:32:27","indexId":"70173496","displayToPublicDate":"2016-02-24T14:30:00","publicationYear":"2015","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":"Predictive modelling of habitat use by marine predators with respect to the abundance and depth distribution of pelagic prey","docAbstract":"Digital flood-inundation maps for a 2.6-mile reach of the Schoharie Creek at Prattsville, New York, were created by the U.S. Geological Survey (USGS) in cooperation with the New York State Department of Environmental Conservation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Schoharie Creek at Prattsville (station number 01350000). Near-real-time stages at this streamgage may be obtained online from the USGS National Water Information System (http://waterdata.usgs.gov/) or the National Weather Service Advanced Hydrologic Prediction Service (http://water.weather.gov/ahps/), which also forecasts flood hydrographs at this site. National Weather Service-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas and depths of flood inundation.
\nFlood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the stage-discharge relation (rating 82.0) at the Schoharie Creek at Prattsville streamgage (station 01350000) and high-water marks from the flood of August 28, 2011. The hydraulic model was then used to compute 17 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to greater than the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model, derived from light detection and ranging (lidar) data having a 0.61-foot vertical root-mean squared error and 6.6-foot horizontal resolution, in order to delineate the area flooded at each water level.
\nThese flood-inundation maps, along with near-real-time stage data from USGS streamgages and forecasted stage data from the National Weather Service, can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155190","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Nystrom, E.A., 2016, Flood-inundation maps for the Schoharie Creek at Prattsville, New York, 2014: U.S. Geological Survey Scientific Investigations Report 2015–5190, 12 p., 17 sheets, https://dx.doi.org/10.3133/sir20155190.","productDescription":"Report: vii, 15 p.; 17 Sheets: 17.00 x 22.00 inches or smaller; Application Sites; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067775","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":316401,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sir/2015/5190/downloads/sir20155190_sheet10-prattsville-stage18.pdf","text":"Sheet10—stage of 18.0 feet","size":"6.11 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U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
Information requests:
(518) 285-5602
Or visit our Web site at:
http://ny.water.usgs.gov
In Arctic ecosystems, freshwater fish migrate seasonally between productive shallow water habitats that freeze in winter and deep overwinter refuge in rivers and lakes. How these movements relate to seasonal hydrology is not well understood. We used passive integrated transponder tags and stream wide antennae to track 1035 Arctic grayling in Crea Creek, a seasonally flowing beaded stream on the Arctic Coastal Plain, Alaska. Migration of juvenile and adult fish into Crea Creek peaked in June immediately after ice break-up in the stream. Fish that entered the stream during periods of high flow and cold stream temperature traveled farther upstream than those entering during periods of lower flow and warmer temperature. We used generalized linear models to relate migration of adult and juvenile fish out of Crea Creek to hydrology. Most adults migrated in late June – early July, and there was best support (Akaike weight = 0.46; w i ) for a model indicating that the rate of migration increased with decreasing discharge. Juvenile migration occurred in two peaks; the early peak consisted of larger juveniles and coincided with adult migration, while the later peak occurred shortly before freeze-up in September and included smaller juveniles. A model that included discharge, minimum stream temperature, year, season, and mean size of potential migrants was most strongly supported (w i = 0.86). Juvenile migration rate increased sharply as daily minimum stream temperature decreased, suggesting fish respond to impending freeze-up. We found fish movements to be intimately tied to the strong seasonality of discharge and temperature, and demonstrate the importance of small stream connectivity for migratory Arctic grayling during the entire open-water period. The ongoing and anticipated effects of climate change and petroleum development on Arctic hydrology (e.g. reduced stream connectivity, earlier peak flows, increased evapotranspiration) have important implications for Arctic freshwater ecosystems.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-015-0453-x","usgsCitation":"Heim, K.C., Wipfli, M.S., Whitman, M.S., Arp, C.D., Adams, J., and Falke, J.A., 2015, Seasonal cues of Arctic grayling movement in a small Arctic stream: the importance of surface water connectivity: Environmental Biology of Fishes, v. 99, no. 1, p. 49-65, https://doi.org/10.1007/s10641-015-0453-x.","productDescription":"17 p.","startPage":"49","endPage":"65","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060031","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":318109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"99","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-26","publicationStatus":"PW","scienceBaseUri":"56c599ace4b0946c6521edf6","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":138832,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":620695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":620696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":620697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Jeff","contributorId":167002,"corporation":false,"usgs":false,"family":"Adams","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":620698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":620699,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173494,"text":"70173494 - 2015 - Distribution, abundance, and habitat associations of a large bivalve (Panopea generosa) in a eutrophic, fjord estuary","interactions":[],"lastModifiedDate":"2016-06-17T12:01:14","indexId":"70173494","displayToPublicDate":"2016-02-15T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Distribution, abundance, and habitat associations of a large bivalve (Panopea generosa) in a eutrophic, fjord estuary","docAbstract":"Marine bivalves are important ecosystem constituents and frequently support valuable fisheries. In many nearshore areas, human disturbance—including declining habitat and water quality—can affect the distribution and abundance of bivalve populations, and complicate ecosystem and fishery management assessments. Infaunal bivalves, in particular, are frequently cryptic and difficult to detect; thus, assessing potential impacts on their populations requires suitable, scalable methods for estimating abundance and distribution. In this study, population size of a common benthic bivalve (the geoduck Panopea generosa) is estimated with a Bayesian habitat-based model fit to scuba and tethered camera data in Hood Canal, a fjord basin in Washington state. Densities declined more than two orders of magnitude along a north—south gradient, concomitant with patterns of deepwater dissolved oxygen, and intensity and duration of seasonal hypoxia. Across the basin, geoducks were most abundant in loose, unconsolidated, sand substrate. The current study demonstrates the utility of using scuba, tethered video, and habitat models to estimate the abundance and distribution of a large infaunal bivalve at a regional (385-km2) scale.
","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.034.0117","usgsCitation":"Mcdonald, P.S., Essington, T.E., Davis, J.P., Galloway, A.W., Stevick, B.C., Jensen, G.C., VanBlaricom, G.R., and Armstrong, D., 2015, Distribution, abundance, and habitat associations of a large bivalve (Panopea generosa) in a eutrophic, fjord estuary: Journal of Shellfish Research, v. 34, no. 1, p. 137-145, https://doi.org/10.2983/035.034.0117.","productDescription":"8 p.","startPage":"137","endPage":"145","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063458","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Hood Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.84362792968749,\n 47.44480754169439\n ],\n [\n -122.838134765625,\n 47.428087261714275\n ],\n [\n -122.93426513671875,\n 47.37696459572701\n ],\n [\n -123.02627563476562,\n 47.349989032003215\n ],\n [\n -123.07159423828125,\n 47.344406158662096\n ],\n [\n -123.101806640625,\n 47.352780247239586\n ],\n [\n -123.10867309570311,\n 47.333238640473475\n ],\n [\n -123.14163208007811,\n 47.336961408985005\n ],\n [\n -123.167724609375,\n 47.352780247239586\n ],\n [\n -123.15948486328126,\n 47.38998234483188\n ],\n [\n -123.12240600585938,\n 47.4596655525415\n ],\n [\n -123.06335449218749,\n 47.53111102290634\n ],\n [\n -123.00155639648436,\n 47.61264397257417\n ],\n [\n -122.96585083007812,\n 47.640410285382224\n ],\n [\n -122.93014526367188,\n 47.65891296651944\n ],\n [\n -122.89993286132812,\n 47.706065135695745\n ],\n [\n -122.88894653320311,\n 47.743017409121826\n ],\n [\n -122.87933349609376,\n 47.81684332352077\n ],\n [\n -122.87109375,\n 47.82975208084834\n ],\n [\n -122.81204223632811,\n 47.86293128876346\n ],\n [\n -122.78045654296874,\n 47.83528342275264\n ],\n [\n -122.7777099609375,\n 47.81684332352077\n ],\n [\n -122.80929565429688,\n 47.70514099299205\n ],\n [\n -122.78320312499999,\n 47.68850362252604\n ],\n [\n -122.7777099609375,\n 47.75502125407674\n ],\n [\n -122.75161743164061,\n 47.79470655664555\n ],\n [\n -122.73239135742188,\n 47.82237604116143\n ],\n [\n -122.69119262695311,\n 47.850952356425296\n ],\n [\n -122.68981933593749,\n 47.869380336792005\n ],\n [\n -122.60879516601561,\n 47.8527954492302\n ],\n [\n -122.67608642578126,\n 47.79562911029222\n ],\n [\n -122.71728515624999,\n 47.74486433470359\n ],\n [\n -122.73788452148436,\n 47.71715357016648\n ],\n [\n -122.74200439453125,\n 47.68203210030427\n ],\n [\n -122.75161743164061,\n 47.66168780332917\n ],\n [\n -122.84225463867186,\n 47.635783590864854\n ],\n [\n -122.838134765625,\n 47.65058757118734\n ],\n [\n -122.85873413085936,\n 47.64318610543658\n ],\n [\n -122.91366577148438,\n 47.613569753973955\n ],\n [\n -122.93701171874999,\n 47.581157652951454\n ],\n [\n -122.95486450195311,\n 47.57930492644292\n ],\n [\n -122.96585083007812,\n 47.57467282332527\n ],\n [\n -122.991943359375,\n 47.53945544742392\n ],\n [\n -123.02490234375,\n 47.49864785970502\n ],\n [\n -123.06060791015624,\n 47.45037978769006\n ],\n [\n -123.10455322265625,\n 47.40299687942135\n ],\n [\n -123.09494018554686,\n 47.38440370312246\n ],\n [\n -123.04412841796875,\n 47.37603463349758\n ],\n [\n -123.00292968749999,\n 47.386263315961884\n ],\n [\n -122.97134399414061,\n 47.409502941311075\n ],\n [\n -122.85873413085936,\n 47.44294999517949\n ],\n [\n -122.84362792968749,\n 47.44480754169439\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57651f32e4b07657d19c788d","contributors":{"authors":[{"text":"Mcdonald, P. 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During the time spanned by our data, the surface waters of the lake (0–5 m) warmed at rates of 0.2–0.9 °C per decade, depending on season. The temperature of the deep waters (50-m bottom) displayed a rising trend in a meromictic basin of the lake and a sawtooth pattern in the other basin, which is holomictic. Long-term variation in surfacewater temperature correlated to global warming and multidecadal variation in two climatic oscillations, the Atlantic Multidecadal Oscillation (AMO) and the East Atlantic Pattern (EA).However, we did not detect an influence of the EA on the lake's temperature (as separate from the effect of global warming). Moreover, the effect of the AMO, estimated to a maximum of +1 °C, was not sufficient to explain the observed temperature increase (+2–3 °C in summer). Based on regional climate projections, we predicted that the lake will continue to warm at least until the end of the 21st century. Our results strongly suggest that the warming of Lake Lugano is tied to globalclimate change. To sustain current ecosystem conditions in Lake Lugano, we suggest that manage- ment plans that curtail eutrophication and (or) mitigation of global warming be pursued.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.08.004","usgsCitation":"Lepori, F., and Roberts, J., 2015, Past and future warming of a deep European lake (Lake Lugano): What are the climatic drivers?: Journal of Great Lakes Research, v. 41, no. 4, p. 973-981, https://doi.org/10.1016/j.jglr.2015.08.004.","productDescription":"9 p.","startPage":"973","endPage":"981","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062114","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":317993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy, Switzerland","otherGeospatial":"Lake Lugano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 9.128265380859375,\n 46.02462129598765\n ],\n [\n 9.093246459960938,\n 46.003162403888766\n ],\n [\n 9.043121337890625,\n 46.01079318614809\n ],\n [\n 8.979263305664062,\n 45.98217232489232\n ],\n [\n 8.9703369140625,\n 45.94303320745295\n ],\n [\n 8.98681640625,\n 45.91294412737392\n ],\n [\n 8.977890014648438,\n 45.90099949265736\n ],\n [\n 8.968276977539062,\n 45.90386643939614\n ],\n [\n 8.966217041015625,\n 45.92536382097966\n ],\n [\n 8.949050903320312,\n 45.933482886823676\n ],\n [\n 8.90167236328125,\n 45.9000438108451\n ],\n [\n 8.892059326171875,\n 45.90338862522072\n ],\n [\n 8.883819580078125,\n 45.933960441921585\n ],\n [\n 8.887252807617188,\n 45.952581883190994\n ],\n [\n 8.854293823242188,\n 45.96212891405598\n ],\n [\n 8.86390686035156,\n 45.97549199391509\n ],\n [\n 8.881072998046875,\n 45.96976535445165\n ],\n [\n 8.89068603515625,\n 45.994099482736694\n ],\n [\n 8.916091918945312,\n 45.99553056897413\n ],\n [\n 8.902359008789062,\n 45.97024259702345\n ],\n [\n 8.90716552734375,\n 45.952104488469985\n ],\n [\n 8.90167236328125,\n 45.9353930825417\n ],\n [\n 8.913345336914062,\n 45.924408558629004\n ],\n [\n 8.942184448242188,\n 45.95783295371863\n ],\n [\n 8.951797485351562,\n 45.9874205909687\n ],\n [\n 8.944931030273438,\n 45.9950535443403\n ],\n [\n 8.953170776367188,\n 46.00602407059352\n ],\n [\n 8.977890014648438,\n 46.003162403888766\n ],\n [\n 9.043807983398438,\n 46.02795859751178\n ],\n [\n 9.08843994140625,\n 46.026528350100904\n ],\n [\n 9.1131591796875,\n 46.03987588680908\n ],\n [\n 9.128265380859375,\n 46.02462129598765\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bf022ee4b06458514b3105","contributors":{"authors":[{"text":"Lepori, Fabio","contributorId":166767,"corporation":false,"usgs":false,"family":"Lepori","given":"Fabio","email":"","affiliations":[{"id":24502,"text":"Institute of Earth Sciences, University of Applied Sciences and Arts of Southern Switzerland","active":true,"usgs":false}],"preferred":false,"id":620051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":620050,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70168370,"text":"70168370 - 2015 - Influence of habitat and intrinsic characteristics on survival of neonatal pronghorn","interactions":[],"lastModifiedDate":"2016-02-15T12:37:52","indexId":"70168370","displayToPublicDate":"2016-02-10T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Influence of habitat and intrinsic characteristics on survival of neonatal pronghorn","docAbstract":"Increased understanding of the influence of habitat (e.g., composition, patch size) and intrinsic (e.g., age, birth mass) factors on survival of neonatal pronghorn (Antilocapra americana) is a prerequisite to successful management programs, particularly as they relate to population dynamics and the role of population models in adaptive species management. Nevertheless, few studies have presented empirical data quantifying the influence of habitat variables on survival of neonatal pronghorn. During 2002–2005, we captured and radiocollared 116 neonates across two sites in western South Dakota. We documented 31 deaths during our study, of which coyote (Canis latrans) predation (n = 15) was the leading cause of mortality. We used known fate analysis in Program MARK to investigate the influence of intrinsic and habitat variables on neonatal survival. We generated a priori models that we grouped into habitat and intrinsic effects. The highest-ranking model indicated that neonate mortality was best explained by site, percent grassland, and open water habitat; 90-day survival (0.80; 90% CI = 0.71–0.88) declined 23% when grassland and water increased from 80.1 to 92.3% and 0.36 to 0.40%, respectively, across 50% natal home ranges. Further, our results indicated that grassland patch size and shrub density were important predictors of neonate survival; neonate survival declined 17% when shrub density declined from 5.0 to 2.5 patches per 100 ha. Excluding the site covariates, intrinsic factors (i.e., sex, age, birth mass, year, parturition date) were not important predictors of survival of neonatal pronghorns. Further, neonatal survival may depend on available land cover and interspersion of habitats. We have demonstrated that maintaining minimum and maximum thresholds for habitat factors (e.g., percentages of grassland and open water patches, density of shrub patches) throughout natal home ranges will in turn, ensure relatively high (>0.50) neonatal survival rates, especially as they relate to coyote predation. Thus, landscape level variables (particularly percentages of open water, grassland habitats, and shrub density) should be incorporated into the development or implementation of pronghorn management plans across sagebrush steppe communities of the western Dakotas, and potentially elsewhere within the geographic range of pronghorn.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0144026","usgsCitation":"Jacques, C.N., Jenks, J., Grovenburg, T.W., and Klaver, R.W., 2015, Influence of habitat and intrinsic characteristics on survival of neonatal pronghorn: PLoS ONE, v. 10, no. 12, e0144026; 17 p., https://doi.org/10.1371/journal.pone.0144026.","productDescription":"e0144026; 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067993","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0144026","text":"Publisher Index Page"},{"id":317924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Fall River County, Harding County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.029541015625,\n 45.205263456162385\n ],\n [\n -104.029541015625,\n 45.94351068030587\n ],\n [\n -102.89794921875,\n 45.94351068030587\n ],\n [\n -102.89794921875,\n 45.205263456162385\n ],\n [\n -104.029541015625,\n 45.205263456162385\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.04052734375,\n 43.00866413845207\n ],\n [\n -104.04052734375,\n 43.49676775343911\n ],\n [\n -102.9473876953125,\n 43.49676775343911\n ],\n [\n -102.9473876953125,\n 43.00866413845207\n ],\n [\n -104.04052734375,\n 43.00866413845207\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"56bc5f34e4b08d617f66001d","contributors":{"authors":[{"text":"Jacques, Christopher N.","contributorId":15521,"corporation":false,"usgs":true,"family":"Jacques","given":"Christopher","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":619813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":619814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grovenburg, Troy W.","contributorId":57712,"corporation":false,"usgs":true,"family":"Grovenburg","given":"Troy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":619815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":619812,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160003,"text":"sir20155177 - 2015 - Transport and deposition of asbestos-rich sediment in the Sumas River, Whatcom County, Washington","interactions":[],"lastModifiedDate":"2016-06-23T15:03:46","indexId":"sir20155177","displayToPublicDate":"2016-02-08T01:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5177","title":"Transport and deposition of asbestos-rich sediment in the Sumas River, Whatcom County, Washington","docAbstract":"Heavy sediment loads in the Sumas River of Whatcom County, Washington, increase seasonal turbidity and cause locally acute sedimentation. Most sediment in the Sumas River is derived from a deep-seated landslide of serpentinite that is located on Sumas Mountain and drained by Swift Creek, a tributary to the Sumas River. This mafic sediment contains high amounts of naturally occurring asbestiform chrysotile. A known human-health hazard, asbestiform chrysotile comprises 0.25–37 percent, by mass, of the total suspended sediment sampled from the Sumas River as part of this study, which included part of water year 2011 and all of water years 2012 and 2013. The suspended-sediment load in the Sumas River at South Pass Road, 0.6 kilometers (km) downstream of the confluence with Swift Creek, was 22,000 tonnes (t) in water year 2012 and 49,000 t in water year 2013. The suspended‑sediment load at Telegraph Road, 18.8 km downstream of the Swift Creek confluence, was 22,000 t in water year 2012 and 27,000 t in water year 2013. Although hydrologic conditions during the study were wetter than normal overall, the 2-year flood peak was only modestly exceeded in water years 2011 and 2013; runoff‑driven geomorphic disturbance to the watershed, which might have involved mass wasting from the landslide, seemed unexceptional. In water year 2012, flood peaks were modest, and the annual streamflow was normal. The fact that suspended-sediment loads in water year 2012 were equivalent at sites 0.6 and 18.8 km downstream of the sediment source indicates that the conservation of suspended‑sediment load can occur under normal hydrologic conditions. The substantial decrease in suspended-sediment load in the downstream direction in water year 2013 was attributed to either sedimentation in the intervening river reach, transfer to bedload as an alternate mode of sediment transport, or both.
The sediment in the Sumas River is distinct from sediment in most other river systems because of the large percentage of asbestiform chrysotile in suspension. The suspended sediment carried by the Sumas River consists of three major components: (1) a relatively dense, largely non-flocculated material that settles rapidly out of suspension; (2) a lighter component containing relatively high proportions of flocculated material, much of it composed of asbestiform chrysotile; and (3) individual chrysotile fibers that are too small to flocculate or settle out, and remain in suspension as wash load (these fibers are on the order of microns in length and tenths of microns in diameter). Whereas the bulk density of the first (heaviest) component of suspended sediment was between 1.5 and 1.6 grams per cubic centimeter (g/cm3), the bulk density of the flocculated material was an order of magnitude lower (0.16 g/cm3), even after 24 hours of settling. Soon after immersion in water, the fresh chrysotile fibers derived from the Swift Creek landslide seem to flocculate readily into large bundles, or floccules, that exhibit settling velocities characteristic of coarse silts and fine sands (30 and 250 micrometers). In quiescent water within this river system, the floccules settle out quickly, but still leave between 2.4 and 19.5 million chrysotile fibers per liter in the clear overlying water. Consistent with the results from previous laboratory research, the amounts of asbestiform chrysotile in the water column in Swift Creek, as well as in the Sumas River close to and downstream of its confluence with Swift Creek, were determined to be directly correlated with pH. This observation offers a possible alternative to either turbidity or suspended‑sediment concentration as a surrogate for the concentration of fresh asbestiform chrysotile in suspension.
Continued movement and associated erosion of the landslide through mass wasting and runoff will maintain large sediment loads in Swift Creek and in the Sumas River for the foreseeable future. Given the present channel morphology of the river system, aggradation (that is, sediment accumulation) in Swift Creek and the Sumas River are also likely to continue.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155177","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Curran, C.A., Anderson, S.W., Barbash, J.E., Magirl, C.S., Cox, S.E., Norton, K.K., Gendaszek, A.S., Spanjer, A.R., and Foreman, J.R., 2016, Transport and deposition of asbestos-rich sediment in the Sumas River, Whatcom County, Washington: U.S. Geological Survey Scientific Investigations Report 2015–5177, 51 p., https://dx.doi.org/10.3133/sir20155177.","productDescription":"Report: viii, 51 p.; Appendixes A-H","startPage":"1","endPage":"51","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066836","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":316682,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177.pdf","text":"Report","size":"3.1 MB","description":"SIR 2015-5177 PDF"},{"id":316683,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177_appendixa.xlsx","text":"Appendix A","size":"25 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix A"},{"id":316684,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177_appendixb.xlsx","text":"Appendix B","size":"51 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix B"},{"id":316685,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177_appendixc.xlsx","text":"Appendix C","size":"6.5 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix C"},{"id":316686,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177_appendixd.xlsx","text":"Appendix D","size":"15 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix D"},{"id":316687,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177_appendixe.xlsx","text":"Appendix E","size":"13 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix E"},{"id":316688,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177_appendixf.xlsx","text":"Appendix F","size":"234 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix F"},{"id":316689,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177_appendixg.xlsx","text":"Appendix G","size":"29 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix G"},{"id":316690,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5177/sir20155177_appendixh.xlsx","text":"Appendix H","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix H"},{"id":316511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5177/coverthb.jpg"}],"country":"United States","state":"Washington","county":"Whatcom County","otherGeospatial":"Sumas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.35267639160156,\n 49.00139345263396\n ],\n [\n -122.36160278320311,\n 48.99733908118444\n ],\n [\n -122.37876892089842,\n 48.98562459864604\n ],\n [\n -122.37670898437499,\n 48.97751295870069\n ],\n [\n -122.3650360107422,\n 48.972555195463336\n ],\n [\n -122.36709594726562,\n 48.94820993324199\n ],\n [\n -122.35748291015625,\n 48.91347483782297\n ],\n [\n -122.33070373535155,\n 48.90354608612109\n ],\n [\n -122.32315063476562,\n 48.87826399706969\n ],\n [\n -122.310791015625,\n 48.86381134898791\n ],\n [\n -122.28675842285158,\n 48.84212454876025\n ],\n [\n -122.25997924804688,\n 48.83941303819501\n ],\n [\n -122.20985412597656,\n 48.871038194878636\n ],\n [\n -122.18788146972655,\n 48.907608086640366\n ],\n [\n -122.17758178710939,\n 48.950013693526294\n ],\n [\n -122.17758178710939,\n 48.98787759766659\n ],\n [\n -122.17689514160158,\n 49.002294379248696\n ],\n [\n -122.35267639160156,\n 49.00139345263396\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
Crocodylus acutus (American Crocodile) is the most widely distributed New World crocodilian species with its range extending from Peru in the south to the southern tip of peninsular Florida in the north. Crocodylus acutus occupies primarily coastal brackish water habitat, however it also occurs in freshwater to hypersaline habitats (Thorbjarnarson 2010. In Crocodiles. Status Survey and Conservation Action Plan. [Third Edition], American Crocodile Crocodylus acutus, pp. 46–53 S.C. Manolis and C. Stevenson. Crocodile Specialist Group, Darwin). There is limited literature on long distance movements of juvenile crocodilians worldwide and no literature on juvenile crocodiles in Florida. However, adult C. acutus in Florida have been documented to make seasonal movements of 5–15 km from preferred foraging habitat to nesting beaches (Mazzotti 1983. The Ecology of Crocodylus acutus in Florida. PhD Dissertation. The Pennsylvania State University, University Park, Pennsylvania. 161pp), and one adult was documented making a 35 km trip from her nest site to preferred foraging habitat (Cherkiss et. al. 2006. Herpetol. Rev. 38:72–73). Rodda (1984. Herpetologica 40:444–451) reported on juvenile C. acutus movement in Gatun Lake, Panama, and found that juveniles stayed within 1 km of their nest site for the first month. Movements of juvenile Crocodylus porosus (Saltwater Crocodile) in a river system in Northern Australia showed a maximum movement of 38.9 km from a known nest site, with the majority of the crocodiles staying within 15.6 km downstream to 6.8 km upstream (Webb and Messel 1978. Aust. Wildlife Res. 5:263–283). Juvenile movement of Crocodylus niloticus (Nile Crocodile) in Lake Ngezi, Zimbabwe showed crocodiles restricted their movements from 1.0 km up to 4.5 km through the wet and dry seasons (Hutton 1989. Am. Zool. 29:1033–1049). Long distance movements of alligators were recorded for sizes ranging from 28 cm to 361 cm in a coastal refuge in Louisiana, where the distance traveled ranged from 0.3 km to 90.2 km. The data showed that the smaller alligators moved greater distance than larger ones (Lance et al. 2011. Southeast Nat. 10:389–398). An ongoing 30 year mark and recapture study for Crocodylus acutus in Florida allowed us to look at long distance movement (>30 km) of juveniles (30km). Initial and most recent captures as a juvenile were used to analyze distances moved (Fig. 1). These distances were measured linearly between capture locations. Maximum linear distances of 76.3 km and 69.6 km were recorded for animals 4838 and 6662. All crocodiles moved from nesting habitat through potentially optimal nursery habitat prior to reaching their recapture locations. These juvenile long distance movements could be due to larger crocodiles facilitating their dispersal from the nest location (Lance et al. 2011. op. cit.). These data (Table 1.) support that there is exchange of individuals among the nesting colonies and our ongoing efforts to monitor this threatened species allow us to make observations of how juvenile crocodiles are moving throughout the landscape in an ecosystem currently undergoing restoration.
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Long distance juvenile movement: Herpetological Review, v. 46, no. 4, p. 623-624.","productDescription":"2 p.","startPage":"623","endPage":"624","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060401","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":316426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56b081a8e4b010e2af2a1158","contributors":{"authors":[{"text":"Crespo, Rafael","contributorId":152647,"corporation":false,"usgs":false,"family":"Crespo","given":"Rafael","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":590044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, Jeffrey S.","contributorId":138880,"corporation":false,"usgs":false,"family":"Beauchamp","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":12559,"text":"University of Florida, FLEC","active":true,"usgs":false}],"preferred":false,"id":590045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank","contributorId":32609,"corporation":false,"usgs":true,"family":"Mazzotti","given":"Frank","affiliations":[],"preferred":false,"id":590046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":590043,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176848,"text":"70176848 - 2015 - Validation of streamflow measurements made with M9 and RiverRay acoustic Doppler current profilers","interactions":[],"lastModifiedDate":"2016-10-11T10:36:57","indexId":"70176848","displayToPublicDate":"2016-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Validation of streamflow measurements made with M9 and RiverRay acoustic Doppler current profilers","docAbstract":"The U.S. Geological Survey (USGS) Office of Surface Water (OSW) previously validated the use of Teledyne RD Instruments (TRDI) Rio Grande (in 2007), StreamPro (in 2006), and Broadband (in 1996) acoustic Doppler current profilers (ADCPs) for streamflow (discharge) measurements made by the USGS. Two new ADCPs, the SonTek M9 and the TRDI RiverRay, were first used in the USGS Water Mission Area programs in 2009. Since 2009, the OSW and USGS Water Science Centers (WSCs) have been conducting field measurements as part of their stream-gaging program using these ADCPs. The purpose of this paper is to document the results of USGS OSW analyses for validation of M9 and RiverRay ADCP streamflow measurements. The OSW required each participating WSC to make comparison measurements over the range of operating conditions in which the instruments were used until sufficient measurements were available. The performance of these ADCPs was evaluated for validation and to identify any present and potential problems. Statistical analyses of streamflow measurements indicate that measurements made with the SonTek M9 ADCP using firmware 2.00–3.00 or the TRDI RiverRay ADCP using firmware 44.12–44.15 are unbiased, and therefore, can continue to be used to make streamflow measurements in the USGS stream-gaging program. However, for the M9 ADCP, there are some important issues to be considered in making future measurements. Possible future work may include additional validation of streamflow measurements made with these instruments from other locations in the United States and measurement validation using updated firmware and software.","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HY.1943-7900.0001087","usgsCitation":"Boldt, J., and Oberg, K.A., 2015, Validation of streamflow measurements made with M9 and RiverRay acoustic Doppler current profilers: Journal of Hydraulic Engineering, v. 142, no. 2, p. 1-16, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001087.","productDescription":"Article 04015054; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-065124","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":329415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679ee4b0824b2d143715","contributors":{"authors":[{"text":"Boldt, Justin A. jboldt@usgs.gov","contributorId":4375,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin A.","email":"jboldt@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":650504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":650505,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70168328,"text":"70168328 - 2015 - Population ecology of the gulf ribbed mussel across a salinity gradient: recruitment, growth and density","interactions":[],"lastModifiedDate":"2016-02-10T11:43:16","indexId":"70168328","displayToPublicDate":"2016-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Population ecology of the gulf ribbed mussel across a salinity gradient: recruitment, growth and density","docAbstract":"Benthic intertidal bivalves play an essential role in estuarine ecosystems by contributing to habitat provision, water filtration, and promoting productivity. As such, changes that impact population distributions and persistence of local bivalve populations may have large ecosystem level consequences. Recruitment, growth, mortality, population size structure and density of the gulf coast ribbed mussel, Geukensia granosissima, were examined across a salinity gradient in southeastern Louisiana. Data were collected along 100-m transects at interior and edge marsh plots located at duplicate sites in upper (salinity ~4 psu), central (salinity ~8 psu) and lower (salinity ~15 psu) Barataria Bay, Louisiana, U.S.A. Growth, mortality and recruitment were measured in established plots from April through November 2012. Mussel densities were greatest within the middle bay (salinity ~8) regardless of flooding regime, but strongly associated with highest stem densities of Juncus roemerianus vegetation. Mussel recruitment, growth, size and survival were significantly higher at mid and high salinity marsh edge sites as compared to all interior marsh and low salinity sites. The observed patterns of density, growth and mortality in Barataria Bay may reflect detrital food resource availability, host vegetation community distribution along the salinity gradient, salinity tolerance of the mussel, and reduced predation at higher salinity edge sites.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES14-00499.1","usgsCitation":"Honig, A., Supan, J., and LaPeyre, M.K., 2015, Population ecology of the gulf ribbed mussel across a salinity gradient: recruitment, growth and density: Ecosphere, v. 6, no. 11, p. 1-13, https://doi.org/10.1890/ES14-00499.1.","productDescription":"13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060979","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471505,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00499.1","text":"Publisher Index Page"},{"id":317911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Bay","volume":"6","issue":"11","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-16","publicationStatus":"PW","scienceBaseUri":"56bc6d46e4b08d617f666296","contributors":{"authors":[{"text":"Honig, Aaron","contributorId":146622,"corporation":false,"usgs":false,"family":"Honig","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":619757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Supan, John","contributorId":146623,"corporation":false,"usgs":false,"family":"Supan","given":"John","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":619758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":619700,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168331,"text":"70168331 - 2015 - First satellite tracks of the Endangered black-capped petrel","interactions":[],"lastModifiedDate":"2016-02-10T11:05:23","indexId":"70168331","displayToPublicDate":"2016-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"First satellite tracks of the Endangered black-capped petrel","docAbstract":"The black-capped petrel Pterodroma hasitata is an endangered seabird with fewer than 2000 breeding pairs restricted to a few breeding sites in Haiti and the Dominican Republic. To date, use areas at sea have been determined entirely from vessel-based surveys and opportunistic sightings and, as such, spatial and temporal gaps in our understanding of the species’ marine range are likely. To enhance our understanding of marine use areas, we deployed satellite tags on 3 black-capped petrels breeding on Hispaniola, representing the first tracking study for this species and one of the first published tracking studies for any breeding seabird in the Caribbean. During chick rearing, petrels primarily used marine habitats in the southern Caribbean Sea (ca. 18.0° to 11.5°N, 70.0° to 75.5°W) between the breeding site and the coasts of Venezuela and Colombia. Maximum distance from the breeding sites ranged from ca. 500 to 1500 km during the chick-rearing period. During the post-breeding period, each bird dispersed north and used waters west of the Gulf Stream offshore of the mid- and southern Atlantic coasts of the USA as well as Gulf Stream waters and deeper pelagic waters east of the Gulf Stream. Maximum distance from the breeding sites ranged from ca. 2000 to 2200 km among birds during the nonbreeding period. Petrels used waters located within 14 different exclusive economic zones, suggesting that international collaboration will benefit the development of management strategies for this species.
","language":"English","publisher":"Inter-Res","doi":"10.3354/esr00697","usgsCitation":"Jodice, P.G., Ronconi, R.A., Rupp, E., Wallace, G.E., and Satgé, Y., 2015, First satellite tracks of the Endangered black-capped petrel: Endangered Species Research, v. 29, no. 1, p. 23-33, https://doi.org/10.3354/esr00697.","productDescription":"11 p.","startPage":"23","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064990","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00697","text":"Publisher Index Page"},{"id":317906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Caribbean Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.5087890625,\n 37.77071473849609\n ],\n [\n -75.56396484375,\n 35.28150065789119\n ],\n [\n -80.947265625,\n 32.13840869677251\n ],\n [\n -81.49658203125,\n 30.524413269923986\n ],\n [\n -80.31005859375,\n 25.284437746983055\n ],\n [\n -80.771484375,\n 17.035777250427195\n ],\n [\n -71.4990234375,\n 12.404388944669792\n ],\n [\n -63.94042968749999,\n 10.768555807732437\n ],\n [\n -60.8203125,\n 38.75408327579141\n ],\n [\n -76.5087890625,\n 37.77071473849609\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bc6d41e4b08d617f66627b","contributors":{"authors":[{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":619703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ronconi, Robert A.","contributorId":166692,"corporation":false,"usgs":false,"family":"Ronconi","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":619739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rupp, Ernst","contributorId":166693,"corporation":false,"usgs":false,"family":"Rupp","given":"Ernst","email":"","affiliations":[],"preferred":false,"id":619740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, George E.","contributorId":166695,"corporation":false,"usgs":false,"family":"Wallace","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":619741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Satgé, Yvan","contributorId":166696,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan","affiliations":[],"preferred":false,"id":619742,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70162267,"text":"70162267 - 2015 - Invasion of American bullfrogs along the Yellowstone River","interactions":[],"lastModifiedDate":"2016-01-22T09:05:57","indexId":"70162267","displayToPublicDate":"2016-01-20T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Invasion of American bullfrogs along the Yellowstone River","docAbstract":"The American bullfrog (Lithobates catesbeianus) is a globally distributed invasive species that was introduced to the Yellowstone River floodplain of Montana. Knowledge about floodplain habitat features that allow for bullfrog persistence and spread will help identify effective control strategies. We used field surveys in 2010, 2012 and 2013 to describe bullfrog spread in the Yellowstone River floodplain and the habitat features that are associated with bullfrog occupancy and colonization. Bullfrogs in our study area expanded from ~ 60 km in 2010 to 106 km in 2013, and are spreading to up- and downstream habitats. The number of breeding sites (i.e., presence of bullfrog eggs or larvae) increased from 12 sites in 2010 to 45 sites in 2013. We found that bullfrogs were associated with deeper waters, emergent vegetation and public-access sites, which are habitat features that characterize permanent waters and describe human-mediated introductions. Control strategies that reduce the hydroperiod of breeding sites may help to limit bullfrog persistence and spread, while an increase in public outreach and education may help prevent further bullfrog introductions at public-access sites.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/ai.2015.10.1.07","usgsCitation":"Sepulveda, A.J., Layhee, M.J., Stagliano, D., Chaffin, J., Begley, A., and Maxell, B.A., 2015, Invasion of American bullfrogs along the Yellowstone River: Aquatic Invasions, v. 10, no. 1, p. 69-77, https://doi.org/10.3391/ai.2015.10.1.07.","productDescription":"9 p.","startPage":"69","endPage":"77","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-01","ipdsId":"IP-054064","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471507,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2015.10.1.07","text":"Publisher Index Page"},{"id":314532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.86627197265625,\n 45.58713413436409\n ],\n [\n -108.86627197265625,\n 46.34692761055676\n ],\n [\n -107.09747314453125,\n 46.34692761055676\n ],\n [\n -107.09747314453125,\n 45.58713413436409\n ],\n [\n -108.86627197265625,\n 45.58713413436409\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a0afade4b0961cf280dbf2","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stagliano, Dave","contributorId":152359,"corporation":false,"usgs":false,"family":"Stagliano","given":"Dave","affiliations":[{"id":18912,"text":"Montana Natural Heritage Program, P.O. Box 201800, 1515 East Sixth Ave., Helena, MT 59620","active":true,"usgs":false}],"preferred":false,"id":589040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaffin, Jake","contributorId":152360,"corporation":false,"usgs":false,"family":"Chaffin","given":"Jake","email":"","affiliations":[{"id":18913,"text":"Bureau of Land Management Montana/Dakotas State Office, 5001 Southgate Dr., Billings, MT 59101","active":true,"usgs":false}],"preferred":false,"id":589041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Begley, Allison","contributorId":152361,"corporation":false,"usgs":false,"family":"Begley","given":"Allison","email":"","affiliations":[{"id":18914,"text":"Montana Fish, Wildlife and Parks, P.O. Box 200701, Helena, MT 59620","active":true,"usgs":false}],"preferred":false,"id":589042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maxell, Bryce A.","contributorId":100113,"corporation":false,"usgs":true,"family":"Maxell","given":"Bryce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":589043,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70162214,"text":"70162214 - 2015 - Invaded invaders: Infection of invasive Brown Treesnakes on Guam by an exotic larval cestode with a life cycle comprised of non-native hosts","interactions":[],"lastModifiedDate":"2016-01-19T08:28:57","indexId":"70162214","displayToPublicDate":"2016-01-19T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Invaded invaders: Infection of invasive Brown Treesnakes on Guam by an exotic larval cestode with a life cycle comprised of non-native hosts","docAbstract":"Multiple host introductions to the same non-native environment have the potential to complete life cycles of parasites incidentally transported with them. Our goal was to identify a recently detected parasitic flatworm in the invasive Brown Treesnake (Boiga irregularis) on the remote Pacific island of Guam. We considered possible factors influencing parasite transmission, and tested for correlations between infection status and potential indicators of host fitness. We used genetic data from the parasite and information about the native ranges of other possible non-native hosts to hypothesize how it arrived on Guam and how its life cycle may be currently supported.
\nWe identified the parasite by comparing larval morphology and mtDNA sequences with other Pseudophyllid tapeworms. We assessed probability of infection in individual snakes using logistic regression and examined different factors influencing presence of parasites in hosts.
\nWe identified the parasite as the pseudophyllid cestode Spirometra erinaceieuropaei, with all sampled worms from multiple snakes sharing a single mtDNA haplotype. Infection appears to be limited to the only freshwater watershed on the island, where infection prevalence was high (77.5%). Larger snakes had a higher probability of being infected, consistent with the chronic nature of such infections. While infection status was positively correlated with body condition, infected snakes tended to have lower intra-peritoneal fat body mass, potentially indicating a negative effect on energy stores.
\nWe discovered that B. irregularis inhabiting a small area of forested habitat in a freshwater watershed on Guam are often infected by a novel parasite of Asian origin. While further work is needed, this species of Spirometra, itself a non-native species, likely depends on a suite of recently introduced hosts from different parts of the world to complete the life cycle. This baseline study provides little evidence of any effects on host fitness, but additional data are needed to more thoroughly explore the consequences of infection in this invasive snake population.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0143718","usgsCitation":"Holldorf, E., Siers, S.R., Richmond, J.Q., Klug, P.E., and Reed, R., 2015, Invaded invaders: Infection of invasive Brown Treesnakes on Guam by an exotic larval cestode with a life cycle comprised of non-native hosts: PLoS ONE, v. 10, no. 12, e0143718: 16 p., https://doi.org/10.1371/journal.pone.0143718.","productDescription":"e0143718: 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063527","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0143718","text":"Publisher Index Page"},{"id":314453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 144.60411071777344,\n 13.233261466546951\n ],\n [\n 144.60411071777344,\n 13.655328309840225\n ],\n [\n 144.97283935546872,\n 13.655328309840225\n ],\n [\n 144.97283935546872,\n 13.233261466546951\n ],\n [\n 144.60411071777344,\n 13.233261466546951\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-23","publicationStatus":"PW","scienceBaseUri":"569f5e32e4b0961cf27fd169","contributors":{"authors":[{"text":"Holldorf, Elden T","contributorId":152311,"corporation":false,"usgs":false,"family":"Holldorf","given":"Elden T","affiliations":[{"id":12728,"text":"Cherokee Services Group","active":true,"usgs":false}],"preferred":false,"id":588885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siers, Shane R.","contributorId":152305,"corporation":false,"usgs":false,"family":"Siers","given":"Shane","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":588886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":588887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klug, Page E. pklug@usgs.gov","contributorId":5545,"corporation":false,"usgs":true,"family":"Klug","given":"Page","email":"pklug@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":588888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":588884,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70162084,"text":"70162084 - 2015 - Long-term changes in nitrate conditions over the 20th century in two Midwestern Corn Belt streams","interactions":[],"lastModifiedDate":"2016-06-01T15:39:43","indexId":"70162084","displayToPublicDate":"2016-01-13T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Long-term changes in nitrate conditions over the 20th century in two Midwestern Corn Belt streams","docAbstract":"Long-term changes in nitrate concentration and flux between the middle of the 20th century and the first decade of the 21st century were estimated for the Des Moines River and the Middle Illinois River, two Midwestern Corn Belt streams, using a novel weighted regression approach that is able to detect subtle changes in solute transport behavior over time. The results show that the largest changes in flow-normalized concentration and flux occurred between 1960 and 1980 in both streams, with smaller or negligible changes between 1980 and 2004. Contrasting patterns were observed between (1) nitrate export linked to non-point sources, explicitly runoff of synthetic fertilizer or other surface sources and (2) nitrate export presumably associated with point sources such as urban wastewater or confined livestock feeding facilities, with each of these modes of transport important under different domains of streamflow. Surface runoff was estimated to be consistently most important under high-flow conditions during the spring in both rivers. Nitrate export may also have been considerable in the Des Moines River even under some conditions during the winter when flows are generally lower, suggesting the influence of point sources during this time. Similar results were shown for the Middle Illinois River, which is subject to significant influence of wastewater from the Chicago area, where elevated nitrate concentrations were associated with at the lowest flows during the winter and fall. By modeling concentration directly, this study highlights the complex relationship between concentration and streamflow that has evolved in these two basins over the last 50 years. This approach provides insights about changing conditions that only become observable when stationarity in the relationship between concentration and streamflow is not assumed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2015.03.062","usgsCitation":"Kelly, V.J., Stets, E., and Crawford, C.G., 2015, Long-term changes in nitrate conditions over the 20th century in two Midwestern Corn Belt streams: Journal of Hydrology, v. 525, p. 559-571, https://doi.org/10.1016/j.jhydrol.2015.03.062.","productDescription":"13 p.","startPage":"559","endPage":"571","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059752","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":471511,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2015.03.062","text":"Publisher Index Page"},{"id":314258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa","city":"Keosaque, Peoria","otherGeospatial":"Des Moines River, Middle Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.01221466064453,\n 40.70380607385548\n ],\n [\n -92.01221466064453,\n 40.76676160346336\n ],\n [\n -91.9071578979492,\n 40.76676160346336\n ],\n [\n -91.9071578979492,\n 40.70380607385548\n ],\n [\n -92.01221466064453,\n 40.70380607385548\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.72396850585936,\n 40.602484146302096\n ],\n [\n -89.72396850585936,\n 40.76182096906601\n ],\n [\n -89.44656372070312,\n 40.76182096906601\n ],\n [\n -89.44656372070312,\n 40.602484146302096\n ],\n [\n -89.72396850585936,\n 40.602484146302096\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"525","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56977530e4b039675d00a6c0","contributors":{"authors":[{"text":"Kelly, Valerie J. vjkelly@usgs.gov","contributorId":4161,"corporation":false,"usgs":true,"family":"Kelly","given":"Valerie","email":"vjkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":588484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stets, Edward G. estets@usgs.gov","contributorId":3593,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[],"preferred":false,"id":588485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":588486,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70161998,"text":"70161998 - 2015 - Efficient wetland surface water detection and monitoring via Landsat: Comparison with in situ data from the Everglades Depth Estimation Network","interactions":[],"lastModifiedDate":"2019-12-12T10:54:01","indexId":"70161998","displayToPublicDate":"2016-01-11T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Efficient wetland surface water detection and monitoring via Landsat: Comparison with in situ data from the Everglades Depth Estimation Network","docAbstract":"The U.S. Geological Survey is developing new Landsat science products. One, named Dynamic Surface Water Extent (DSWE), is focused on the representation of ground surface inundation as detected in cloud-/shadow-/snow-free pixels for scenes collected over the U.S. and its territories. Characterization of DSWE uncertainty to facilitate its appropriate use in science and resource management is a primary objective. A unique evaluation dataset developed from data made publicly available through the Everglades Depth Estimation Network (EDEN) was used to evaluate one candidate DSWE algorithm that is relatively simple, requires no scene-based calibration data, and is intended to detect inundation in the presence of marshland vegetation. A conceptual model of expected algorithm performance in vegetated wetland environments was postulated, tested and revised. Agreement scores were calculated at the level of scenes and vegetation communities, vegetation index classes, water depths, and individual EDEN gage sites for a variety of temporal aggregations. Landsat Archive cloud cover attribution errors were documented. Cloud cover had some effect on model performance. Error rates increased with vegetation cover. Relatively low error rates for locations of little/no vegetation were unexpectedly dominated by omission errors due to variable substrates and mixed pixel effects. Examined discrepancies between satellite and in situ modeled inundation demonstrated the utility of such comparisons for EDEN database improvement. Importantly, there seems no trend or bias in candidate algorithm performance as a function of time or general hydrologic conditions, an important finding for long-term monitoring. The developed database and knowledge gained from this analysis will be used for improved evaluation of candidate DSWE algorithms as well as other measurements made on Everglades surface inundation, surface water heights and vegetation using radar, lidar and hyperspectral instruments. Although no other sites have such an extensive in situ network or long-term records, the broader applicability of this and other candidate DSWE algorithms is being evaluated in other wetlands using this work as a guide. Continued interaction among DSWE producers and potential users will help determine whether the measured accuracies are adequate for practical utility in resource management.
","language":"English","publisher":"MDPI","doi":"10.3390/rs70912503","usgsCitation":"Jones, J., 2015, Efficient wetland surface water detection and monitoring via Landsat: Comparison with in situ data from the Everglades Depth Estimation Network: Remote Sensing, v. 9, no. 7, p. 12503-12538, https://doi.org/10.3390/rs70912503.","productDescription":"36 p.","startPage":"12503","endPage":"12538","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066317","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471512,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70912503","text":"Publisher Index Page"},{"id":314188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.331787109375,\n 24.831610355586918\n ],\n [\n -80.31280517578125,\n 24.831610355586918\n ],\n [\n -80.31280517578125,\n 26.561506704037942\n ],\n [\n -81.331787109375,\n 26.561506704037942\n ],\n [\n -81.331787109375,\n 24.831610355586918\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-23","publicationStatus":"PW","scienceBaseUri":"5694d22de4b039675d005dc0","contributors":{"authors":[{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":588290,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159803,"text":"sir20155167 - 2015 - Streamflow characteristics and trends at selected streamgages in southwest and south-central Kansas","interactions":[],"lastModifiedDate":"2016-01-11T08:59:47","indexId":"sir20155167","displayToPublicDate":"2016-01-11T07:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5167","title":"Streamflow characteristics and trends at selected streamgages in southwest and south-central Kansas","docAbstract":"Historical data for nine selected streamgages in southwest and south-central Kansas were used in an assessment of streamflow characteristics and trends. This information is required by the U.S. Fish and Wildlife Service and the Kansas Department of Wildlife, Parks and Tourism to assist with the effective management of Etheostoma cragini (Arkansas darter) habitats and populations in the State. Changing streamflow conditions, such as a reduction or elimination of streamflow, may adversely affect the Arkansas darter. Priority basins for the Arkansas darter represented by the selected streamgages include the Cimarron River, Rattlesnake Creek, the North Fork Ninnescah River, the South Fork Ninnescah River, the Medicine Lodge River, and the Chikaskia River.
\nStreamflow conditions were assessed using annual streamflow characteristics computed for the period of record for each of the selected streamgages. Specific streamflow characteristics computed were mean discharge, mean base flow, 90th-percentile flow, 10th-percentile flow, minimum 7-day mean flow, minimum 28-day mean flow, number of days of flow less than 1 cubic foot per second, and number of zero-flow days.
\nTwo of the priority basins had statistically significant decreases in annual mean discharge during the period of record. In the Cimarron River Basin, there was a pronounced multidecadal decrease in the magnitude and variability of annual mean discharge. Concurrently, the percentage of the annual mean discharge that was contributed by base flow increased. In the Rattlesnake Creek Basin, there was a pre-1985 decrease in annual mean discharge. Typically, in these two basins, significant decreases were indicated for mean base flow, 90th-percentile flow, 10th-percentile flow, minimum 7-day mean flow, and minimum 28-day mean flow. No significant trend in annual mean discharge was indicated for the North Fork Ninnescah, South Fork Ninnescah, Medicine Lodge, and Chikaskia River Basins. For the Medicine Lodge and Chikaskia River Basins as well as the downstream part of the South Fork Ninnescah River Basin, a significant increase in mean base flow and 10th-percentile flow was indicated. Also, for the latter two basins, a significant increase was indicated for minimum 7-day mean flow.
\nFactors investigated to explain long-term trends in annual mean discharge, or lack thereof, included precipitation and groundwater withdrawals. Annual precipitation in the study area varied substantially from 1951 to 2013 with no pronounced long-term trend. Thus, a precipitation-related explanation for the significant decrease in annual mean discharge in the Cimarron River and Rattlesnake Creek Basins was not supported. Because the most pronounced decreases in annual mean discharge were in the basin with the largest groundwater-level declines (that is, the Cimarron River Basin), both in terms of magnitude and areal extent, it is likely that groundwater withdrawals were a primary, if not dominant, causative factor.
\nThe occurrence of extremely low-flow (less than 1 cubic foot per second) and zero-flow days varied by basin and year. Typically, such days occurred in the summer and autumn for all basins.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155167","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Kansas Department of Wildlife, Parks and Tourism","usgsCitation":"Juracek, K.E., 2015, Streamflow characteristics and trends at selected streamgages in southwest and south-central Kansas: U.S. Geological Survey Scientific Investigations Report 2015–5167, 20 p., https://dx.doi.org/10.3133/sir20155167.","productDescription":"vi, 20 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065381","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":312557,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5167/sir20155167.pdf","text":"Report","size":"3.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5167"},{"id":312556,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5167/coverthb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.0465087890625,\n 37.00255267215955\n ],\n [\n -102.0465087890625,\n 38.69408504756833\n ],\n [\n -96.9488525390625,\n 38.69408504756833\n ],\n [\n -96.9488525390625,\n 37.00255267215955\n ],\n [\n -102.0465087890625,\n 37.00255267215955\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
http://ks.water.usgs.gov
The U.S. Geological Survey, in cooperation with the Bureau of Reclamation, National Park Service, and Argonne National Laboratory, completed a decision analysis to use in the evaluation of alternatives in the Environmental Impact Statement concerning the long-term management of water releases from Glen Canyon Dam and associated management activities. Two primary decision analysis methods, multicriteria decision analysis and the expected value of information, were used to evaluate the alternative strategies against the resource goals and to evaluate the influence of uncertainty.
\nA total of 18 performance metrics associated with 8 out of 12 resource goals (fundamental objectives) were developed by the Bureau of Reclamation and National Park Service in partnership with subject-matter teams composed of Federal, State, tribal, and private experts. A total of 19 long-term strategies associated with 7 alternatives were developed by the Bureau of Reclamation, National Park Service, Argonne National Laboratory, U.S. Geological Survey, and Cooperating Agencies. The 19 long-term strategies were evaluated against the 18 performance metrics using a series of coupled simulation models, taking into account the effects of several important sources of uncertainty. A total of 27 Federal, State, tribal, and nongovernmental agencies were invited by the Assistant Secretary of Interior to participate in a swing-weighting exercise to understand the range of perspectives about how to place relative value on the resource goals and performance metrics; 14 of the 27 chose to participate. The results of the swing-weighting exercise were combined with the evaluation of the alternatives to complete a multicriteria decision analysis. The effects of uncertainty on the ranking of long-term strategies were evaluated through calculation of the value of information.
\nThe alternatives and their long-term strategies differed across performance metrics, producing unavoidable tradeoffs; thus, there was no long-term strategy that was dominated by another across all performance metrics. When the performance of each alternative was weighted across performance metrics, three alternatives (B, D, and G) were top-ranked depending on the set of weights proposed: Alternative B was favored by those stakeholders that placed a high value on hydropower; Alternative G was favored by those stakeholders that placed a high value on the restoration of natural processes, like beachbuilding and natural vegetation; and Alternative D was favored by the remaining stakeholders. Surprisingly, these rankings were not sensitive to the critical uncertainties that were evaluated; that is, the choice of a preferred long-term strategy was sensitive to the value-based judgment about how to place relative weight on the resource goals but was not sensitive to the uncertainties in the system dynamics that were evaluated in this analysis. The one area of uncertainty that did slightly affect the ranking of alternatives was the long-term pattern of hydrological input; because of this sensitivity, some attention to the possible effects of climate change is warranted.
\nThe results of the decision analysis are meant to serve as only one of many sources of information that can be used to evaluate the alternatives proposed in the Environmental Impact Statement. These results only focus on those resource goals for which quantitative performance metrics could be formulated and evaluated; there are other important aspects of the resource goals that also need to be considered. Not all the stakeholders who were invited to participate in the decision analysis chose to do so; thus, the Bureau of Reclamation, National Park Service, and U.S. Department of Interior may want to consider other input.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155176","collaboration":"Prepared in cooperation with the Bureau of Reclamation, National Park Service, and Argonne National Laboratory","usgsCitation":"Runge, M.C., LaGory, K.E., Russell, Kendra, Balsom, J.R., Butler, R.A., Coggins, L.G., Jr., Grantz, K.A., Hayse, John, Hlohowskyj, Ihor, Korman, Josh, May, J.E., O’Rourke, D.J., Poch, L.A., Prairie, J.R., VanKuiken, J.C., Van Lonkhuyzen, R.A., Varyu, D.R., Verhaaren, B.T., Vesekla, T.D., Williams, N.T., Wuthrich, K.K., Yackulic, C.B., Billerbeck, R.P., and Knowles, G.W., 2015, Decision analysis to support development of the Glen Canyon Dam Long-Term Experimental and Management Plan: U.S. Geological Survey Scientific Investigations Report 2015–5176, 64 p., https://dx.doi.org/10.3133/sir20155176.","productDescription":"xi, 64 p.","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070238","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":312032,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5176/sir20155176.pdf","text":"Report","size":"2.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5176"},{"id":312031,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5176/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.70825195312501,\n 35.074964853989556\n ],\n [\n -114.70825195312501,\n 37.00255267215955\n ],\n [\n -111.258544921875,\n 37.00255267215955\n ],\n [\n -111.258544921875,\n 35.074964853989556\n ],\n [\n -114.70825195312501,\n 35.074964853989556\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
An understanding of historic and current water quality is needed to manage and improve aquatic communities within the Blackwater River watershed, WV. The Blackwater River, which historically offered an excellent Salvelinus fontinalis (Brook Trout) fishery, has been affected by logging, coal mining, use of off-road vehicles, and land development. Using information-theoretic methods, we examined trends in water quality at 12 sites in the watershed for the 14 years of 1980–1993. Except for Beaver Creek, downward trends in acidity and upward trends in alkalinity, conductivity, and hardness were consistent with decreases in hydrogen ion concentration. Water-quality trends for Beaver Creek were inconsistent with the other sites and reflect ongoing coal-mining influences. Dissolved oxygen trended downward, possibly due to natural conditions, but remained above thresholds that would be detrimental to aquatic life. Water quality changed only slightly within the watershed from 1980–1993, possibly reflecting few changes in development and land uses during this time. These data serve as a baseline for future water-quality studies and may help to inform management planning.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.014.sp711","usgsCitation":"Smith, J., Welsh, S., Anderson, J.T., and Fortney, R.H., 2015, Water quality trends in the Blackwater River watershed, West Virginia: Southeastern Naturalist, v. 14, no. sp7, p. 103-111, https://doi.org/10.1656/058.014.sp711.","productDescription":"9 p.","startPage":"103","endPage":"111","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053509","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":313997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Blackwater River Watershed","volume":"14","issue":"sp7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568f8c3ce4b0e7a44bc5ec9c","contributors":{"authors":[{"text":"Smith, Jessica","contributorId":152104,"corporation":false,"usgs":false,"family":"Smith","given":"Jessica","email":"","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":587949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":587831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":587950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fortney, Ronald H.","contributorId":37576,"corporation":false,"usgs":false,"family":"Fortney","given":"Ronald","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":587951,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}