Digital flood-inundation maps for a 12.5-mile reach of the Big Papillion Creek from 0.6 mile upstream from the State Street Bridge to the 72nd Street Bridge in Omaha, Nebraska, were created by the U.S. Geological Survey (USGS) in cooperation with the Papio-Missouri River Natural Resources District. 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 on the Big Papillion Creek at Fort Street at Omaha, Nebraska (station 06610732). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.
\nFlood profiles were computed for the 12.5-mile reach by means of a one-dimensional step-backwater model. The model was calibrated by using the current (2015) stage-discharge relation at streamgages for the Big Papillion Creek at Fort Street at Omaha, Nebraska, and the Big Papillion Creek at Q Street at Omaha, Nebraska. The hydraulic model was then used to compute 15 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum for the Big Papillion Creek at Fort Street and ranging from 18 ft (or near bankfull) to 32 ft, which exceeds the “major flood stage” as defined by the National Weather Service. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging data having a 1.18-ft vertical accuracy and 3.28-ft horizontal resolution) to delineate the area flooded at each flood stage (water level).
\nThe availability of these flood-inundation maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the National Weather Service, will 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/sir20155152","collaboration":"Prepared in cooperation with the Papio-Missouri River Natural Resources District","usgsCitation":"Strauch, K.R., Dietsch, B.J., and Anderson, K.J., 2016, Flood-inundation maps for a 12.5-mile reach of Big Papillion Creek at Omaha, Nebraska: U.S. Geological Survey Scientific Investigations Report 2015–5152, 11 p., https://dx.doi.org/10.3133/sir20155152.","productDescription":"Report: v, 11 p.; Datasets; Metadata","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066029","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":314625,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sir/2015/5152/sir20155152_dataset_river_areas_GRIDS.zip","text":"River area GRIDS","size":"52.9 MB","description":"SIR 2015–5152 River area GRIDS"},{"id":314626,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sir/2015/5152/sir20155152_dataset_river_areas_shapefiles.zip","text":"River area shapefiles","size":"2.2 MB","description":"SIR 2015–5152 River area shapefiles"},{"id":314628,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5152/sir20155152_metadata_BigPapio_at_Fort_FIM_GRID.txt","text":"GRID metadata","size":"20.0 kb","description":"SIR 2015–5152 GRID metadata"},{"id":314629,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5152/sir20155152_metadata_BigPapio_at_Fort_FIM_shapefile.txt","text":"Shapefile metadata","size":"20.0 kb","description":"SIR 2015–5152 Shapefile metadata"},{"id":314466,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5152/sir20155152.pdf","text":"Report","size":"2.11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015–5152"},{"id":314622,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sir/2015/5152/sir20155152_dataset_levee_areas_GRIDS.zip","text":"Levee area GRIDS","size":"1.6 MB","description":"SIR 2015–5152 Levee area GRIDS"},{"id":314623,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sir/2015/5152/sir20155152_dataset_levee_areas_shapefiles.zip","text":"Levee area shapefiles","size":"144 kb","description":"SIR 2015–5152 Levee area shapefiles"},{"id":314465,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5152/coverthb.jpg"}],"country":"United States","state":"Nebraska","city":"Omaha","otherGeospatial":"Big Papillion Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.16676330566406,\n 41.23702755320388\n ],\n [\n -96.16676330566406,\n 41.35052580597025\n ],\n [\n -96.01020812988281,\n 41.35052580597025\n ],\n [\n -96.01020812988281,\n 41.23702755320388\n ],\n [\n -96.16676330566406,\n 41.23702755320388\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Non-native fish introductions are a major threat to biodiversity and fisheries, and occur through numerous pathways that vary regionally in importance. A key strategy for managing invasions is to focus prevention efforts on pathways posing the greatest risk of future introductions. We identified high-risk pathways for fish establishment in the Mid-Atlantic region of the United States based on estimates of probability of establishment and records of previous introductions, which were considered in the context of emerging socioeconomic trends. We used estimates of propagule pressure, species’ environmental tolerance, and size of species pool to assess the risk of establishment by pathway. Pathways varied considerably in historic importance and species composition, with the majority of species introduced intentionally via stocking (primarily for sport, forage, or biocontrol) or bait release. Bait release, private stocking, illegal introductions intended to establish reproducing populations (e.g., of sport fish), aquaculture, and the sale of live organisms all create risks for future invasions in the Mid-Atlantic region. Of these pathways, bait release probably poses the greatest risk of introductions for the Mid-Atlantic region because propagule pressure is moderate, most released species are tolerant of local environmental conditions, and the pool of species available for transplantation is large. Our findings differ considerably from studies in other regions (e.g., bait release is a dominant pathway in the Mid-Atlantic region, whereas illegal introduction of sport fish is dominant in the western US and aquarium releases are dominant in Florida), demonstrating the need for regional-scale assessments of, and management strategies for, introduction pathways.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Management of Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"REABIC : Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2016.7.3.02","usgsCitation":"Lapointe, N.W., Fuller, P., Neilson, M.E., Murphy, B., and Angermeier, P.L., 2016, Pathways of fish invasions in the Mid-Atlantic region of the United States: Management of Biological Invasions, v. 7, no. 3, p. 212-220, https://doi.org/10.3391/mbi.2016.7.3.02.","productDescription":"13 p.","startPage":"212","endPage":"220","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032121","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471133,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2016.7.3.02","text":"Publisher Index Page"},{"id":319091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New York, North Carolina, Pennsylvania, Virginia","otherGeospatial":"Chesapeake Bay subregion, Mid-Atlantic region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.4208984375,\n 34.75966612466248\n ],\n [\n -77.16796875,\n 34.786739162702524\n ],\n [\n -77.574462890625,\n 34.82282272723702\n ],\n [\n -78.057861328125,\n 34.912962495216966\n ],\n [\n -78.57421875,\n 35.02099970111467\n ],\n [\n -78.79394531249999,\n 35.31736632923788\n ],\n [\n -78.9697265625,\n 35.60371874069731\n ],\n [\n -79.024658203125,\n 35.96022296929667\n ],\n [\n -79.727783203125,\n 36.12900165569652\n ],\n [\n -80.079345703125,\n 36.09349937380574\n ],\n [\n -80.650634765625,\n 36.155617833818525\n ],\n [\n -80.782470703125,\n 36.421282443649496\n ],\n [\n -80.771484375,\n 36.721273880045004\n ],\n [\n -80.7275390625,\n 36.83566824724438\n ],\n [\n -80.88134765625,\n 36.949891786813296\n ],\n [\n -81.002197265625,\n 37.15156050223665\n ],\n [\n -80.804443359375,\n 37.396346133189255\n ],\n [\n -80.39794921875,\n 37.483576550426996\n ],\n [\n -80.233154296875,\n 37.60552821745789\n ],\n [\n -80.277099609375,\n 37.727280276860036\n ],\n [\n -80.2001953125,\n 37.86618078529668\n ],\n [\n -79.87060546875,\n 38.16911413556086\n ],\n [\n -79.749755859375,\n 38.33303882235456\n ],\n [\n -79.683837890625,\n 38.565347844885466\n ],\n [\n -79.530029296875,\n 38.8225909761771\n ],\n [\n -79.365234375,\n 39.07890809706475\n ],\n [\n -79.453125,\n 39.198205348894795\n ],\n [\n -79.29931640625,\n 39.487084981687495\n ],\n [\n -79.002685546875,\n 39.740986355883564\n ],\n [\n -78.782958984375,\n 40.17047886718109\n ],\n [\n -78.695068359375,\n 40.27952566881291\n ],\n [\n -78.892822265625,\n 40.43858586704331\n ],\n [\n -78.9697265625,\n 40.6306300839918\n ],\n [\n -78.936767578125,\n 40.82212357516945\n ],\n [\n -78.760986328125,\n 41.17038447781618\n ],\n [\n -78.68408203124999,\n 41.36856413680967\n ],\n [\n -78.475341796875,\n 41.60722821271717\n ],\n [\n -78.046875,\n 41.80407814427237\n ],\n [\n -77.860107421875,\n 42.04113400940809\n ],\n [\n -77.9150390625,\n 42.25291778330197\n ],\n [\n -77.6513671875,\n 42.45588764197166\n ],\n [\n -77.442626953125,\n 42.47209690919285\n ],\n [\n -77.135009765625,\n 42.261049162113856\n ],\n [\n -76.607666015625,\n 42.342305278572816\n ],\n [\n -76.212158203125,\n 42.54498667313236\n ],\n [\n -76.102294921875,\n 42.78733853172001\n ],\n [\n -75.992431640625,\n 43.02071359427862\n ],\n [\n -75.47607421875,\n 43.11702412135048\n ],\n [\n -74.520263671875,\n 43.07691312608711\n ],\n [\n -74.322509765625,\n 42.706659563510385\n ],\n [\n -74.212646484375,\n 42.439674178149424\n ],\n [\n -74.498291015625,\n 42.374778361114195\n ],\n [\n -75.11352539062499,\n 42.12267315117259\n ],\n [\n -75.34423828125,\n 41.95949009892465\n ],\n [\n -75.289306640625,\n 41.73852846935917\n ],\n [\n -75.245361328125,\n 41.44272637767212\n ],\n [\n -75.245361328125,\n 41.3108238809182\n ],\n [\n -75.531005859375,\n 41.062786068733026\n ],\n [\n -75.640869140625,\n 40.896905775860006\n ],\n [\n -75.82763671875,\n 40.51379915504413\n ],\n [\n -75.91552734375,\n 40.212440718286466\n ],\n [\n -75.794677734375,\n 39.884450178234395\n ],\n [\n -75.772705078125,\n 39.68182601089365\n ],\n [\n -75.56396484375,\n 39.08743603215884\n ],\n [\n -75.35522460937499,\n 38.71123253895224\n ],\n [\n -75.21240234375,\n 38.38472766885085\n ],\n [\n -75.552978515625,\n 37.93553306183642\n ],\n [\n -75.794677734375,\n 37.52715361723378\n ],\n [\n -75.970458984375,\n 37.13404537126446\n ],\n [\n -76.036376953125,\n 37.309014074275915\n ],\n [\n -75.904541015625,\n 37.61423141542417\n ],\n [\n -75.9375,\n 37.83148014503288\n ],\n [\n -76.058349609375,\n 38.108627664321276\n ],\n [\n -76.102294921875,\n 38.26406296833964\n ],\n [\n -76.300048828125,\n 38.436379603\n ],\n [\n -76.3330078125,\n 38.676933444637925\n ],\n [\n -76.343994140625,\n 38.93377552819722\n ],\n [\n -76.22314453125,\n 39.198205348894795\n ],\n [\n -76.014404296875,\n 39.436192999314095\n ],\n [\n -76.04736328125,\n 39.52099229357195\n ],\n [\n -76.1572265625,\n 39.36827914916014\n ],\n [\n -76.4208984375,\n 39.095962936305504\n ],\n [\n -76.5087890625,\n 38.762650338334154\n ],\n [\n -76.39892578125,\n 38.37611542403604\n ],\n [\n -76.32202148437499,\n 38.09998264736481\n ],\n [\n -76.2451171875,\n 37.883524980871336\n ],\n [\n -76.2890625,\n 37.63163475580643\n ],\n [\n -76.2451171875,\n 37.43997405227057\n ],\n [\n -76.256103515625,\n 37.28279464911045\n ],\n [\n -76.37695312499999,\n 37.35269280367274\n ],\n [\n -76.32202148437499,\n 37.18657859524883\n ],\n [\n -76.2451171875,\n 37.055177106660814\n ],\n [\n -76.2451171875,\n 36.958671131530316\n ],\n [\n -75.904541015625,\n 36.914764288955936\n ],\n [\n -75.76171875,\n 36.2176871222506\n ],\n [\n -75.465087890625,\n 35.67514743608467\n ],\n [\n -75.5419921875,\n 35.209721645221386\n ],\n [\n -76.08032226562499,\n 35.0120020431607\n ],\n [\n -76.4208984375,\n 34.75966612466248\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f10d1de4b0f59b85dd6841","contributors":{"authors":[{"text":"Lapointe, Nicolas W. R.","contributorId":166959,"corporation":false,"usgs":false,"family":"Lapointe","given":"Nicolas","email":"","middleInitial":"W. R.","affiliations":[],"preferred":false,"id":623095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Pam 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":167676,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam","email":"pfuller@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":623092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neilson, Matthew E. 0000-0002-5139-5677 mneilson@usgs.gov","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":167677,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","email":"mneilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":623094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Brian R.","contributorId":71433,"corporation":false,"usgs":true,"family":"Murphy","given":"Brian R.","affiliations":[],"preferred":false,"id":623096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":623093,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70170288,"text":"70170288 - 2016 - Quasi-extinction risk and population targets for the Eastern, migratory population of monarch butterflies (Danaus plexippus)","interactions":[],"lastModifiedDate":"2017-02-13T14:20:40","indexId":"70170288","displayToPublicDate":"2016-03-21T01:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Quasi-extinction risk and population targets for the Eastern, migratory population of monarch butterflies (Danaus plexippus)","docAbstract":"The Eastern, migratory population of monarch butterflies (Danaus plexippus), an iconic North American insect, has declined by ~80% over the last decade. The monarch’s multi-generational migration between overwintering grounds in central Mexico and the summer breeding grounds in the northern U.S. and southern Canada is celebrated in all three countries and creates shared management responsibilities across North America. Here we present a novel Bayesian multivariate auto-regressive state-space model to assess quasi-extinction risk and aid in the establishment of a target population size for monarch conservation planning. We find that, given a range of plausible quasi-extinction thresholds, the population has a substantial probability of quasi-extinction, from 11–57% over 20 years, although uncertainty in these estimates is large. Exceptionally high population stochasticity, declining numbers, and a small current population size act in concert to drive this risk. An approximately 5-fold increase of the monarch population size (relative to the winter of 2014–15) is necessary to halve the current risk of quasi-extinction across all thresholds considered. Conserving the monarch migration thus requires active management to reverse population declines, and the establishment of an ambitious target population size goal to buffer against future environmentally driven variability.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep23265","usgsCitation":"Semmens, B.X., Semmens, D.J., Thogmartin, W.E., Wiederholt, R., Lopez-Hoffman, L., Diffendorfer, J., Pleasants, J., Oberhauser, K.S., and Taylor, O.R., 2016, Quasi-extinction risk and population targets for the Eastern, migratory population of monarch butterflies (Danaus plexippus): Scientific Reports, v. 6, Article number 23265; 7 p., https://doi.org/10.1038/srep23265.","productDescription":"Article number 23265; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066835","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":471134,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep23265","text":"Publisher Index Page"},{"id":320161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-21","publicationStatus":"PW","scienceBaseUri":"571756e6e4b0ef3b7caa62a9","contributors":{"authors":[{"text":"Semmens, Brice X.","contributorId":149775,"corporation":false,"usgs":false,"family":"Semmens","given":"Brice","email":"","middleInitial":"X.","affiliations":[{"id":17820,"text":"Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":626766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":626765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":626767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiederholt, Ruscena","contributorId":149125,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":626768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":626769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":626770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pleasants, John M.","contributorId":168616,"corporation":false,"usgs":false,"family":"Pleasants","given":"John M.","affiliations":[{"id":25341,"text":"Department of Ecology, Evolution, and Organismal Biology, Iowa State University","active":true,"usgs":false}],"preferred":false,"id":626771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oberhauser, Karen S.","contributorId":27737,"corporation":false,"usgs":true,"family":"Oberhauser","given":"Karen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":626772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Taylor, Orley R.","contributorId":168617,"corporation":false,"usgs":false,"family":"Taylor","given":"Orley","email":"","middleInitial":"R.","affiliations":[{"id":25342,"text":"Department of Ecology and Evolutionary Biology, University of Kansas","active":true,"usgs":false}],"preferred":false,"id":626773,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70170076,"text":"70170076 - 2016 - Identifying the origin of waterbird carcasses in Lake Michigan using a neural network source tracking model","interactions":[],"lastModifiedDate":"2016-12-16T11:32:48","indexId":"70170076","displayToPublicDate":"2016-03-19T13:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Identifying the origin of waterbird carcasses in Lake Michigan using a neural network source tracking model","docAbstract":"Avian botulism type E is responsible for extensive waterbird mortality on the Great Lakes, yet the actual site of toxin exposure remains unclear. Beached carcasses are often used to describe the spatial aspects of botulism mortality outbreaks, but lack specificity of offshore toxin source locations. We detail methodology for developing a neural network model used for predicting waterbird carcass motions in response to wind, wave, and current forcing, in lieu of a complex analytical relationship. This empirically trained model uses current velocity, wind velocity, significant wave height, and wave peak period in Lake Michigan simulated by the Great Lakes Coastal Forecasting System. A detailed procedure is further developed to use the model for back-tracing waterbird carcasses found on beaches in various parts of Lake Michigan, which was validated using drift data for radiomarked common loon (Gavia immer) carcasses deployed at a variety of locations in northern Lake Michigan during September and October of 2013. The back-tracing model was further used on 22 non-radiomarked common loon carcasses found along the shoreline of northern Lake Michigan in October and November of 2012. The model-estimated origins of those cases pointed to some common source locations offshore that coincide with concentrations of common loons observed during aerial surveys. The neural network source tracking model provides a promising approach for identifying locations of botulinum neurotoxin type E intoxication and, in turn, contributes to developing an understanding of the dynamics of toxin production and possible trophic transfer pathways.
","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2016.02.014","usgsCitation":"Kenow, K.P., Ge, Z., Fara, L.J., Houdek, S.C., and Lubinski, B.R., 2016, Identifying the origin of waterbird carcasses in Lake Michigan using a neural network source tracking model: Journal of Great Lakes Research, v. 42, no. 3, p. 637-648, https://doi.org/10.1016/j.jglr.2016.02.014.","productDescription":"12 p.","startPage":"637","endPage":"648","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067361","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":471136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.02.014","text":"Publisher Index Page"},{"id":319840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.737548828125,\n 45.82879925192134\n ],\n [\n -84.74853515625,\n 45.775186183521036\n ],\n [\n -84.891357421875,\n 45.72152152227954\n ],\n [\n -85.01220703125,\n 45.60635207711834\n ],\n [\n -85.067138671875,\n 45.537136680398596\n ],\n [\n -85.0341796875,\n 45.460130637921004\n ],\n [\n -84.78149414062499,\n 45.43700828867389\n ],\n [\n -85.01220703125,\n 45.336701909968106\n ],\n [\n -85.1220703125,\n 45.36758436884978\n ],\n [\n -85.23193359375,\n 45.31352900692261\n ],\n [\n -85.352783203125,\n 45.251688256117646\n ],\n [\n -85.352783203125,\n 45.18978009667531\n ],\n [\n -85.25390625,\n 45.042478050891546\n ],\n [\n -85.25390625,\n 44.933696389694674\n ],\n [\n -85.26489257812499,\n 44.86365630540611\n ],\n [\n -85.3857421875,\n 44.793530904744074\n ],\n [\n -85.49560546875,\n 44.73892994307368\n ],\n [\n -85.60546875,\n 44.77793589631623\n ],\n [\n -85.63842773437499,\n 44.88701247981298\n ],\n [\n -85.60546875,\n 44.99588261816546\n ],\n [\n -85.616455078125,\n 45.1433047394883\n ],\n [\n -85.75927734375,\n 44.98034238084973\n ],\n [\n -85.814208984375,\n 44.902577996288876\n ],\n [\n -85.902099609375,\n 44.902577996288876\n ],\n [\n -85.98999023437499,\n 44.84808025602074\n ],\n [\n -86.077880859375,\n 44.73892994307368\n ],\n [\n -86.19873046875,\n 44.68427737181225\n ],\n [\n -86.187744140625,\n 44.6061127451739\n ],\n [\n -86.187744140625,\n 44.449467536006935\n ],\n [\n -86.275634765625,\n 44.26093725039923\n ],\n [\n -86.36352539062499,\n 44.11125397357153\n ],\n [\n -86.46240234375,\n 44.04811573082351\n ],\n [\n -86.41845703124999,\n 43.929549935614595\n ],\n [\n -86.37451171875,\n 43.8028187190472\n ],\n [\n -86.47338867187499,\n 43.644025847699496\n ],\n [\n -86.407470703125,\n 43.44494295526125\n ],\n [\n -86.2646484375,\n 43.15710884095329\n ],\n [\n -86.165771484375,\n 42.85985981506279\n ],\n [\n -86.209716796875,\n 42.5611728553181\n ],\n [\n -86.275634765625,\n 42.309815415686664\n ],\n [\n -86.4404296875,\n 42.12267315117259\n ],\n [\n -86.572265625,\n 41.86137915587359\n ],\n [\n -86.8798828125,\n 41.68932225997044\n ],\n [\n -87.099609375,\n 41.64007838467894\n ],\n [\n -87.275390625,\n 41.599013054830216\n ],\n [\n -87.440185546875,\n 41.64007838467894\n ],\n [\n -87.5830078125,\n 41.77131167976407\n ],\n [\n -87.703857421875,\n 42.01665183556825\n ],\n [\n -87.791748046875,\n 42.17154633452751\n ],\n [\n -87.8466796875,\n 42.285437007491545\n ],\n [\n -87.81372070312499,\n 42.382894009614056\n ],\n [\n -87.835693359375,\n 42.553080288955826\n ],\n [\n -87.802734375,\n 42.74701217318067\n ],\n [\n -87.879638671875,\n 42.867912483915305\n ],\n [\n -87.890625,\n 43.03677585761058\n ],\n [\n -87.923583984375,\n 43.22118973298753\n ],\n [\n -87.9345703125,\n 43.31718491566708\n ],\n [\n -87.835693359375,\n 43.48481212891603\n ],\n [\n -87.791748046875,\n 43.58039085560786\n ],\n [\n -87.703857421875,\n 43.691707903073805\n ],\n [\n -87.78076171875,\n 43.84245116699036\n ],\n [\n -87.659912109375,\n 44.11914151643737\n ],\n [\n -87.550048828125,\n 44.18220395771566\n ],\n [\n -87.56103515625,\n 44.276671273775186\n ],\n [\n -87.5390625,\n 44.402391829093915\n ],\n [\n -87.506103515625,\n 44.56699093657141\n ],\n [\n -87.418212890625,\n 44.72332018895825\n ],\n [\n -87.286376953125,\n 44.81691551782855\n ],\n [\n -87.176513671875,\n 45.02695045318546\n ],\n [\n -87.07763671875,\n 45.213003555993964\n ],\n [\n -87.242431640625,\n 45.058001435398296\n ],\n [\n -87.34130859375,\n 44.902577996288876\n ],\n [\n -87.451171875,\n 44.84029065139799\n ],\n [\n -87.56103515625,\n 44.80132682904856\n ],\n [\n -87.6708984375,\n 44.715513732021336\n ],\n [\n -87.7587890625,\n 44.6061127451739\n ],\n [\n -87.91259765625,\n 44.49650533109348\n ],\n [\n -88.08837890625,\n 44.55916341529184\n ],\n [\n -88.033447265625,\n 44.692088041727814\n ],\n [\n -87.8466796875,\n 44.88701247981298\n ],\n [\n -87.86865234374999,\n 44.94924926661153\n ],\n [\n -87.64892578125,\n 44.98811302615805\n ],\n [\n -87.593994140625,\n 45.1510532655634\n ],\n [\n -87.4072265625,\n 45.36758436884978\n ],\n [\n -87.308349609375,\n 45.49094569262732\n ],\n [\n -87.12158203125,\n 45.69850658738848\n ],\n [\n -87.022705078125,\n 45.85176048817254\n ],\n [\n -86.956787109375,\n 45.92822950933618\n ],\n [\n -86.978759765625,\n 45.84410779560204\n ],\n [\n -86.923828125,\n 45.72152152227954\n ],\n [\n -86.824951171875,\n 45.79816953017265\n ],\n [\n -86.8359375,\n 45.882360730184025\n ],\n [\n -86.693115234375,\n 45.85941212790755\n ],\n [\n -86.539306640625,\n 45.935870621190546\n ],\n [\n -86.517333984375,\n 45.897654534346884\n ],\n [\n -86.63818359375,\n 45.706179285330855\n ],\n [\n -86.46240234375,\n 45.79816953017265\n ],\n [\n -86.3525390625,\n 45.867062714815475\n ],\n [\n -86.341552734375,\n 45.9511496866914\n ],\n [\n -86.0888671875,\n 45.98932892799953\n ],\n [\n -85.9130859375,\n 45.95878764035642\n ],\n [\n -85.836181640625,\n 46.01985337287634\n ],\n [\n -85.682373046875,\n 45.98169518512228\n ],\n [\n -85.53955078125,\n 46.126556302418514\n ],\n [\n -85.440673828125,\n 46.11894150610708\n ],\n [\n -85.23193359375,\n 46.10370875598026\n ],\n [\n -85.0341796875,\n 46.01985337287634\n ],\n [\n -84.83642578125,\n 45.9511496866914\n ],\n [\n -84.737548828125,\n 45.82879925192134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57248643e4b0b13d3915958b","contributors":{"authors":[{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":626034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ge, Zhongfu","contributorId":139463,"corporation":false,"usgs":false,"family":"Ge","given":"Zhongfu","email":"","affiliations":[{"id":12773,"text":"American Bureau of Shipping, Corporate Marine Technology","active":true,"usgs":false}],"preferred":false,"id":626035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fara, Luke J. 0000-0002-1143-4395 lfara@usgs.gov","orcid":"https://orcid.org/0000-0002-1143-4395","contributorId":5248,"corporation":false,"usgs":true,"family":"Fara","given":"Luke","email":"lfara@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":626036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houdek, Steven C. 0000-0001-9452-6596 shoudek@usgs.gov","orcid":"https://orcid.org/0000-0001-9452-6596","contributorId":4423,"corporation":false,"usgs":true,"family":"Houdek","given":"Steven","email":"shoudek@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":626037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubinski, Brian R.","contributorId":177523,"corporation":false,"usgs":false,"family":"Lubinski","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":626038,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178254,"text":"70178254 - 2016 - A Unified Cropland Layer at 250-m for global agriculture monitoring","interactions":[],"lastModifiedDate":"2016-11-09T15:52:09","indexId":"70178254","displayToPublicDate":"2016-03-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5226,"text":"Data","active":true,"publicationSubtype":{"id":10}},"title":"A Unified Cropland Layer at 250-m for global agriculture monitoring","docAbstract":"Accurate and timely information on the global cropland extent is critical for food security monitoring, water management and earth system modeling. Principally, it allows for analyzing satellite image time-series to assess the crop conditions and permits isolation of the agricultural component to focus on food security and impacts of various climatic scenarios. However, despite its critical importance, accurate information on the spatial extent, cropland mapping with remote sensing imagery remains a major challenge. Following an exhaustive identification and collection of existing land cover maps, a multi-criteria analysis was designed at the country level to evaluate the fitness of a cropland map with regards to four dimensions: its timeliness, its legend, its resolution adequacy and its confidence level. As a result, a Unified Cropland Layer that combines the fittest products into a 250 m global cropland map was assembled. With an evaluated accuracy ranging from 82% to 95%, the Unified Cropland Layer successfully improved the accuracy compared to single global products.
","language":"English","publisher":"MDPI","doi":"10.3390/data1010003","usgsCitation":"Waldner, F., Fritz, S., Di Gregorio, A., Plotnikov, D., Bartalev, S., Kussul, N., Gong, P., Thenkabail, P.S., Hazeu, G., Klein, I., Low, F., Miettinen, J., Dadhwal, V.K., Lamarche, C., Bontemps, S., and Defourny, P., 2016, A Unified Cropland Layer at 250-m for global agriculture monitoring: Data, v. 1, no. 3, 1010003: 13 p., https://doi.org/10.3390/data1010003.","productDescription":"1010003: 13 p.","ipdsId":"IP-072621","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471137,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/data1010003","text":"Publisher Index Page"},{"id":330907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-19","publicationStatus":"PW","scienceBaseUri":"582443f6e4b09065cdf3052e","contributors":{"authors":[{"text":"Waldner, Francois","contributorId":176747,"corporation":false,"usgs":false,"family":"Waldner","given":"Francois","email":"","affiliations":[],"preferred":false,"id":653410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritz, Steffen","contributorId":149670,"corporation":false,"usgs":false,"family":"Fritz","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":653411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Di Gregorio, Antonio","contributorId":176748,"corporation":false,"usgs":false,"family":"Di Gregorio","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":653412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plotnikov, Dmitry","contributorId":176749,"corporation":false,"usgs":false,"family":"Plotnikov","given":"Dmitry","email":"","affiliations":[],"preferred":false,"id":653413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartalev, Sergey","contributorId":176750,"corporation":false,"usgs":false,"family":"Bartalev","given":"Sergey","email":"","affiliations":[],"preferred":false,"id":653414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kussul, Nataliia","contributorId":176751,"corporation":false,"usgs":false,"family":"Kussul","given":"Nataliia","email":"","affiliations":[],"preferred":false,"id":653415,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gong, Peng","contributorId":102393,"corporation":false,"usgs":true,"family":"Gong","given":"Peng","affiliations":[],"preferred":false,"id":653416,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":653417,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hazeu, Gerard","contributorId":176757,"corporation":false,"usgs":false,"family":"Hazeu","given":"Gerard","email":"","affiliations":[],"preferred":false,"id":653418,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Klein, Igor","contributorId":176758,"corporation":false,"usgs":false,"family":"Klein","given":"Igor","email":"","affiliations":[],"preferred":false,"id":653419,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Low, Fabian","contributorId":176759,"corporation":false,"usgs":false,"family":"Low","given":"Fabian","email":"","affiliations":[],"preferred":false,"id":653420,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Miettinen, Jukka","contributorId":176760,"corporation":false,"usgs":false,"family":"Miettinen","given":"Jukka","email":"","affiliations":[],"preferred":false,"id":653421,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dadhwal, Vinay Kumar","contributorId":176761,"corporation":false,"usgs":false,"family":"Dadhwal","given":"Vinay","email":"","middleInitial":"Kumar","affiliations":[],"preferred":false,"id":653422,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lamarche, Celine","contributorId":176762,"corporation":false,"usgs":false,"family":"Lamarche","given":"Celine","email":"","affiliations":[],"preferred":false,"id":653423,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bontemps, Sophie","contributorId":176764,"corporation":false,"usgs":false,"family":"Bontemps","given":"Sophie","email":"","affiliations":[],"preferred":false,"id":653424,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Defourny, Pierre","contributorId":146809,"corporation":false,"usgs":false,"family":"Defourny","given":"Pierre","email":"","affiliations":[],"preferred":false,"id":653425,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70160629,"text":"70160629 - 2016 - Evaluating the sources of water to wells: Three techniques for metamodeling of a groundwater flow model","interactions":[],"lastModifiedDate":"2016-03-18T16:11:26","indexId":"70160629","displayToPublicDate":"2016-03-18T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the sources of water to wells: Three techniques for metamodeling of a groundwater flow model","docAbstract":"For decision support, the insights and predictive power of numerical process models can be hampered by insufficient expertise and computational resources required to evaluate system response to new stresses. An alternative is to emulate the process model with a statistical “metamodel.” Built on a dataset of collocated numerical model input and output, a groundwater flow model was emulated using a Bayesian Network, an Artificial neural network, and a Gradient Boosted Regression Tree. The response of interest was surface water depletion expressed as the source of water-to-wells. The results have application for managing allocation of groundwater. Each technique was tuned using cross validation and further evaluated using a held-out dataset. A numerical MODFLOW-USG model of the Lake Michigan Basin, USA, was used for the evaluation. The performance and interpretability of each technique was compared pointing to advantages of each technique. The metamodel can extend to unmodeled areas.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling & Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Oxford","doi":"10.1016/j.envsoft.2015.11.023","usgsCitation":"Fienen, M., Nolan, B.T., and Feinstein, D.T., 2016, Evaluating the sources of water to wells: Three techniques for metamodeling of a groundwater flow model: Environmental Modelling and Software, v. 77, p. 95-107, https://doi.org/10.1016/j.envsoft.2015.11.023.","productDescription":"13 p.","startPage":"95","endPage":"107","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066378","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":319030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Michigan, Ohio, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.210205078125,\n 46.354510837365254\n ],\n [\n -84.232177734375,\n 45.98169518512228\n ],\n [\n -84.3310546875,\n 45.94351068030587\n ],\n [\n -84.605712890625,\n 46.00459325574482\n ],\n [\n -84.67163085937499,\n 45.82879925192134\n ],\n [\n -84.847412109375,\n 45.85941212790755\n ],\n [\n -84.979248046875,\n 45.97406038956237\n ],\n [\n -85.308837890625,\n 46.06560846138691\n ],\n [\n -85.49560546875,\n 46.06560846138691\n ],\n [\n -85.770263671875,\n 45.92822950933618\n ],\n [\n -85.93505859374999,\n 45.92822950933618\n ],\n [\n -86.11083984375,\n 45.95878764035642\n ],\n [\n -86.2646484375,\n 45.836454050187726\n ],\n [\n -86.60522460937499,\n 45.706179285330855\n ],\n [\n -86.68212890625,\n 45.57560020947799\n ],\n [\n -86.72607421875,\n 45.805828539928356\n ],\n [\n -86.98974609375,\n 45.68315803253308\n ],\n [\n -87.022705078125,\n 45.79050946752472\n ],\n [\n -87.25341796875,\n 45.521743896993634\n ],\n [\n -87.506103515625,\n 45.213003555993964\n ],\n [\n -87.64892578125,\n 44.99588261816546\n ],\n [\n -87.82470703125,\n 44.95702412512118\n ],\n [\n -87.857666015625,\n 44.77793589631623\n ],\n [\n -88.00048828124999,\n 44.61393394730626\n ],\n [\n -87.95654296875,\n 44.55133484083592\n ],\n [\n -87.6708984375,\n 44.731125592643274\n ],\n [\n -87.528076171875,\n 44.879228141635274\n ],\n [\n -87.308349609375,\n 45.11230010229608\n ],\n [\n -87.132568359375,\n 45.259422036351694\n ],\n [\n -86.84692382812499,\n 45.44471679159555\n ],\n [\n -87.03369140625,\n 45.1510532655634\n ],\n [\n -87.2314453125,\n 44.84029065139799\n ],\n [\n -87.47314453125,\n 44.4808302785626\n ],\n [\n -87.5390625,\n 44.308126684886126\n ],\n [\n -87.506103515625,\n 44.213709909702054\n ],\n [\n -87.6708984375,\n 44.06390660801779\n ],\n [\n -87.73681640625,\n 43.874138181474734\n ],\n [\n -87.69287109375,\n 43.74728909225906\n ],\n [\n -87.7587890625,\n 43.58039085560786\n ],\n [\n -87.81372070312499,\n 43.42898792344157\n ],\n [\n -87.901611328125,\n 43.213183300738876\n ],\n [\n -87.8466796875,\n 42.98053954751642\n ],\n [\n -87.769775390625,\n 42.779275360241904\n ],\n [\n -87.802734375,\n 42.58544425738491\n ],\n [\n -87.81372070312499,\n 42.342305278572816\n ],\n [\n -87.78076171875,\n 42.17968819665961\n ],\n [\n -87.637939453125,\n 42.05745022024682\n ],\n [\n -87.593994140625,\n 41.78769700539063\n ],\n [\n -87.36328125,\n 41.63186741069748\n ],\n [\n -87.0556640625,\n 41.64828831259535\n ],\n [\n -86.60522460937499,\n 41.88592102814744\n ],\n [\n -86.517333984375,\n 42.13082130188811\n ],\n [\n -86.36352539062499,\n 42.3016903282445\n ],\n [\n -86.23168945312499,\n 42.62587560259137\n ],\n [\n -86.23168945312499,\n 42.94033923363183\n ],\n [\n -86.28662109375,\n 43.1811470593997\n ],\n [\n -86.495361328125,\n 43.48481212891603\n ],\n [\n -86.539306640625,\n 43.6599240747891\n ],\n [\n -86.4404296875,\n 43.8028187190472\n ],\n [\n -86.495361328125,\n 44.07969327425713\n ],\n [\n -86.341552734375,\n 44.276671273775186\n ],\n [\n -86.220703125,\n 44.465151013519616\n ],\n [\n -86.2646484375,\n 44.66865287227321\n ],\n [\n -86.099853515625,\n 44.793530904744074\n ],\n [\n -85.9130859375,\n 44.98034238084973\n ],\n [\n -85.62744140625,\n 45.22848059584359\n ],\n [\n -85.53955078125,\n 45.11230010229608\n ],\n [\n -85.528564453125,\n 44.81691551782855\n ],\n [\n -85.418701171875,\n 45.02695045318546\n ],\n [\n -85.418701171875,\n 45.27488643704894\n ],\n [\n -85.111083984375,\n 45.40616374516014\n ],\n [\n -84.96826171874999,\n 45.42158812329091\n ],\n [\n -85.10009765625,\n 45.51404592560424\n ],\n [\n -85.05615234375,\n 45.66780526567164\n ],\n [\n -84.79248046875,\n 45.767522962149904\n ],\n [\n -84.52880859375,\n 45.706179285330855\n ],\n [\n -84.26513671875,\n 45.65244828675087\n ],\n [\n -84.1552734375,\n 45.49094569262732\n ],\n [\n -84.144287109375,\n 43.08493742707592\n ],\n [\n -83.95751953125,\n 43.03677585761058\n ],\n [\n -83.748779296875,\n 42.93229601903058\n ],\n [\n -83.7158203125,\n 42.5611728553181\n ],\n [\n -83.69384765625,\n 42.342305278572816\n ],\n [\n -83.75976562499999,\n 42.24478535602799\n ],\n [\n -84.012451171875,\n 42.114523952464246\n ],\n [\n -84.122314453125,\n 42.09822241118974\n ],\n [\n -84.111328125,\n 41.236511201246216\n ],\n [\n -88.857421875,\n 41.261291493919856\n ],\n [\n -88.824462890625,\n 43.54058479482877\n ],\n [\n -89.033203125,\n 43.476840397778915\n ],\n [\n -89.56054687499999,\n 43.51668853502909\n ],\n [\n -89.89013671875,\n 43.6599240747891\n ],\n [\n -89.967041015625,\n 43.77902662160831\n ],\n [\n -89.75830078125,\n 43.97700467496408\n ],\n [\n -89.49462890625,\n 44.190082025040525\n ],\n [\n -89.49462890625,\n 44.36313311380771\n ],\n [\n -89.571533203125,\n 44.55133484083592\n ],\n [\n -89.56054687499999,\n 44.77013681219717\n ],\n [\n -89.49462890625,\n 45.01141864227728\n ],\n [\n -89.31884765624999,\n 45.24395342262324\n ],\n [\n -89.044189453125,\n 45.321254361171476\n ],\n [\n -89.20898437499999,\n 45.43700828867389\n ],\n [\n -89.219970703125,\n 45.66012730272194\n ],\n [\n -89.02221679687499,\n 45.78284835197676\n ],\n [\n -88.96728515624999,\n 45.935870621190546\n ],\n [\n -88.78051757812499,\n 46.01222384063238\n ],\n [\n -88.8134765625,\n 46.263442671779885\n ],\n [\n -88.604736328125,\n 46.32417161725694\n ],\n [\n -88.253173828125,\n 46.33175800051563\n ],\n [\n -88.1982421875,\n 46.521075663842836\n ],\n [\n -88.00048828124999,\n 46.64189395892874\n ],\n [\n -87.593994140625,\n 46.430285240839964\n ],\n [\n -86.36352539062499,\n 46.392411189814645\n ],\n [\n -86.30859375,\n 46.49839225859763\n ],\n [\n -86.099853515625,\n 46.604167162931844\n ],\n [\n -85.71533203125,\n 46.5739667965278\n ],\n [\n -85.60546875,\n 46.37725420510028\n ],\n [\n -84.210205078125,\n 46.354510837365254\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ed18a1e4b0f59b85da9eaa","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":583409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":583410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feinstein, Daniel T. 0000-0003-1151-2530 dtfeinst@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":1907,"corporation":false,"usgs":true,"family":"Feinstein","given":"Daniel","email":"dtfeinst@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583411,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70169087,"text":"70169087 - 2016 - Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood","interactions":[],"lastModifiedDate":"2017-04-06T17:10:58","indexId":"70169087","displayToPublicDate":"2016-03-17T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood","docAbstract":"Sea-level rise (SLR) poses a range of threats to natural and built environments1, 2, making assessments of SLR-induced hazards essential for informed decision making3. We develop a probabilistic model that evaluates the likelihood that an area will inundate (flood) or dynamically respond (adapt) to SLR. The broad-area applicability of the approach is demonstrated by producing 30 × 30 m resolution predictions for more than 38,000 km2 of diverse coastal landscape in the northeastern United States. Probabilistic SLR projections, coastal elevation and vertical land movement are used to estimate likely future inundation levels. Then, conditioned on future inundation levels and the current land-cover type, we evaluate the likelihood of dynamic response versus inundation. We find that nearly 70% of this coastal landscape has some capacity to respond dynamically to SLR, and we show that inundation models over-predict land likely to submerge. This approach is well suited to guiding coastal resource management decisions that weigh future SLR impacts and uncertainty against ecological targets and economic constraints.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/NCLIMATE2957","usgsCitation":"Lentz, E.E., Thieler, E.R., Plant, N.G., Stippa, S., Horton, R., and Gesch, D.B., 2016, Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood: Nature Climate Change, v. 6, p. 696-700, https://doi.org/10.1038/NCLIMATE2957.","productDescription":"5 p.","startPage":"696","endPage":"700","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062287","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471141,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8260","text":"External Repository"},{"id":318931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-14","publicationStatus":"PW","scienceBaseUri":"56ebc71ce4b0f59b85d99418","contributors":{"authors":[{"text":"Lentz, Erika E. elentz@usgs.gov","contributorId":167611,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":622852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":622853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":622854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stippa, Sawyer R. sstippa@usgs.gov","contributorId":139266,"corporation":false,"usgs":true,"family":"Stippa","given":"Sawyer R.","email":"sstippa@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":622855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Radley M.","contributorId":100407,"corporation":false,"usgs":true,"family":"Horton","given":"Radley M.","affiliations":[],"preferred":false,"id":622856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":622857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70169086,"text":"70169086 - 2016 - Detecting grizzly bear use of ungulate carcasses using global positioning system telemetry and activity data","interactions":[],"lastModifiedDate":"2016-06-24T11:09:17","indexId":"70169086","displayToPublicDate":"2016-03-17T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Detecting grizzly bear use of ungulate carcasses using global positioning system telemetry and activity data","docAbstract":"Global positioning system (GPS) wildlife collars have revolutionized wildlife research. Studies of predation by free-ranging carnivores have particularly benefited from the application of location clustering algorithms to determine when and where predation events occur. These studies have changed our understanding of large carnivore behavior, but the gains have concentrated on obligate carnivores. Facultative carnivores, such as grizzly/brown bears (Ursus arctos), exhibit a variety of behaviors that can lead to the formation of GPS clusters. We combined clustering techniques with field site investigations of grizzly bear GPS locations (n = 732 site investigations; 2004–2011) to produce 174 GPS clusters where documented behavior was partitioned into five classes (large-biomass carcass, small-biomass carcass, old carcass, non-carcass activity, and resting). We used multinomial logistic regression to predict the probability of clusters belonging to each class. Two cross-validation methods—leaving out individual clusters, or leaving out individual bears—showed that correct prediction of bear visitation to large-biomass carcasses was 78–88%, whereas the false-positive rate was 18–24%. As a case study, we applied our predictive model to a GPS data set of 266 bear-years in the Greater Yellowstone Ecosystem (2002–2011) and examined trends in carcass visitation during fall hyperphagia (September–October). We identified 1997 spatial GPS clusters, of which 347 were predicted to be large-biomass carcasses. We used the clustered data to develop a carcass visitation index, which varied annually, but more than doubled during the study period. Our study demonstrates the effectiveness and utility of identifying GPS clusters associated with carcass visitation by a facultative carnivore.
","language":"English","publisher":"Springer","doi":"10.1007/s00442-016-3594-5","usgsCitation":"Ebinger, M.R., Haroldson, M.A., van Manen, F.T., Costello, C., Bjornlie, D., Thompson, D.J., Gunther, K.A., Fortin, J., Teisberg, J.E., Pils, S.R., White, P.J., Cain, S.L., and Cross, P.C., 2016, Detecting grizzly bear use of ungulate carcasses using global positioning system telemetry and activity data: Oecologia, v. 181, no. 3, p. 695-708, https://doi.org/10.1007/s00442-016-3594-5.","productDescription":"14 p.","startPage":"695","endPage":"708","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065281","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":318930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.895751953125,\n 42.49640294093708\n ],\n [\n -111.895751953125,\n 45.767522962149904\n ],\n [\n -108.5888671875,\n 45.767522962149904\n ],\n [\n -108.5888671875,\n 42.49640294093708\n ],\n [\n -111.895751953125,\n 42.49640294093708\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"181","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-14","publicationStatus":"PW","scienceBaseUri":"56ebc71ae4b0f59b85d9940b","chorus":{"doi":"10.1007/s00442-016-3594-5","url":"http://dx.doi.org/10.1007/s00442-016-3594-5","publisher":"Springer Nature","authors":"Ebinger Michael R., Haroldson Mark A., van Manen Frank T., Costello Cecily M., Bjornlie Daniel D., Thompson Daniel J., Gunther Kerry A., Fortin Jennifer K., Teisberg Justin E., Pils Shannon R., White P. J., Cain Steven L., Cross Paul C.","journalName":"Oecologia","publicationDate":"3/14/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"3/14/2016"},"contributors":{"authors":[{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":622840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":622839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":622841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costello, Cecily M.","contributorId":145510,"corporation":false,"usgs":false,"family":"Costello","given":"Cecily M.","affiliations":[{"id":5117,"text":"University of Montana, College of Forestry and Conservation, University Hall, Room 309, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":622842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bjornlie, Daniel D.","contributorId":145512,"corporation":false,"usgs":false,"family":"Bjornlie","given":"Daniel D.","affiliations":[{"id":16140,"text":"Wyoming Game & Fish Department, Large Carnivore Section, Lander, Wyoming 82520, USA","active":true,"usgs":false}],"preferred":false,"id":622843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Daniel J.","contributorId":149795,"corporation":false,"usgs":false,"family":"Thompson","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":5116,"text":"Large Carnivore Section, Wyoming Game & Fish Department, 260 Buena Vista, Lander, WY 82520, USA","active":true,"usgs":false}],"preferred":false,"id":622844,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":622845,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fortin, Jennifer K.","contributorId":99030,"corporation":false,"usgs":true,"family":"Fortin","given":"Jennifer K.","affiliations":[],"preferred":false,"id":622846,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Teisberg, Justin E.","contributorId":124582,"corporation":false,"usgs":false,"family":"Teisberg","given":"Justin","email":"","middleInitial":"E.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":622847,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pils, Shannon R","contributorId":167609,"corporation":false,"usgs":false,"family":"Pils","given":"Shannon","email":"","middleInitial":"R","affiliations":[{"id":24778,"text":"US Forest Service, Shoshone National Forest, Wapiti Ranger District, 203A Yellowstone Avenue, Cody, WY 82414,USA","active":true,"usgs":false}],"preferred":false,"id":622848,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"White, P J","contributorId":167610,"corporation":false,"usgs":false,"family":"White","given":"P","email":"","middleInitial":"J","affiliations":[{"id":24779,"text":"National Park Service, Yellowstone Center for Resources, P.O. Box 168, Yellowstone National Park, WY 82190, USA","active":true,"usgs":false}],"preferred":false,"id":622849,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cain, Steven L.","contributorId":145511,"corporation":false,"usgs":false,"family":"Cain","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":16139,"text":"National Park Service, Grand Teton National Park, Moose, Wyoming 83012, USA","active":true,"usgs":false}],"preferred":false,"id":622850,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":622851,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70169116,"text":"70169116 - 2016 - Exploring climate niches of ponderosa pine (Pinus ponderosa Douglas ex Lawson) haplotypes in the western United States: Implications for evolutionary history and conservation","interactions":[],"lastModifiedDate":"2017-11-22T17:32:53","indexId":"70169116","displayToPublicDate":"2016-03-17T09:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exploring climate niches of ponderosa pine (Pinus ponderosa Douglas ex Lawson) haplotypes in the western United States: Implications for evolutionary history and conservation","title":"Exploring climate niches of ponderosa pine (Pinus ponderosa Douglas ex Lawson) haplotypes in the western United States: Implications for evolutionary history and conservation","docAbstract":"Ponderosa pine (Pinus ponderosa Douglas ex Lawson) occupies montane environments throughout western North America, where it is both an ecologically and economically important tree species. A recent study using mitochondrial DNA analysis demonstrated substantial genetic variation among ponderosa pine populations in the western U.S., identifying 10 haplotypes with unique evolutionary lineages that generally correspond spatially with distributions of the Pacific (P. p. var. ponderosa) and Rocky Mountain (P. p. var. scopulorum) varieties. To elucidate the role of climate in shaping the phylogeographic history of ponderosa pine, we used nonparametric multiplicative regression to develop predictive climate niche models for two varieties and 10 haplotypes and to hindcast potential distribution of the varieties during the last glacial maximum (LGM), ~22,000 yr BP. Our climate niche models performed well for the varieties, but haplotype models were constrained in some cases by small datasets and unmeasured microclimate influences. The models suggest strong relationships between genetic lineages and climate. Particularly evident was the role of seasonal precipitation balance in most models, with winter- and summer-dominated precipitation regimes strongly associated with P. p. vars. ponderosa and scopulorum, respectively. Indeed, where present-day climate niches overlap between the varieties, introgression of two haplotypes also occurs along a steep clinal divide in western Montana. Reconstructed climate niches for the LGM suggest potentially suitable climate existed for the Pacific variety in the California Floristic province, the Great Basin, and Arizona highlands, while suitable climate for the Rocky Mountain variety may have existed across the southwestern interior highlands. These findings underscore potentially unique phylogeographic origins of modern ponderosa pine evolutionary lineages, including potential adaptations to Pleistocene climates associated with discrete temporary glacial refugia. Our predictive climate niche models may inform strategies for further genetic research (e.g., sampling design) and conservation that promotes haplotype compatibility with projected changes in future climate.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0151811","usgsCitation":"Shinneman, D.J., Means, R.E., Potter, K.M., and Hipkins, V.D., 2016, Exploring climate niches of ponderosa pine (Pinus ponderosa Douglas ex Lawson) haplotypes in the western United States: Implications for evolutionary history and conservation: PLoS ONE, v. 11, no. 3, https://doi.org/10.1371/journal.pone.0151811.","productDescription":"24 p.","startPage":"e0151811","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062671","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471144,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0151811","text":"Publisher Index Page"},{"id":319044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.26855468749999,\n 32.76880048488168\n ],\n [\n -115.400390625,\n 34.415973384481866\n ],\n [\n -116.4111328125,\n 35.137879119634185\n ],\n [\n -116.6748046875,\n 36.527294814546245\n ],\n [\n -116.806640625,\n 37.64903402157866\n ],\n [\n -117.94921874999999,\n 38.788345355085625\n ],\n [\n -118.69628906249999,\n 39.63953756436671\n ],\n [\n -118.91601562499999,\n 41.11246878918086\n ],\n [\n -118.95996093749999,\n 41.80407814427237\n ],\n [\n -119.44335937499999,\n 42.61779143282346\n ],\n [\n -119.66308593749999,\n 43.32517767999296\n ],\n [\n -118.3447265625,\n 43.35713822211053\n ],\n [\n -117.333984375,\n 43.8028187190472\n ],\n [\n -116.93847656250001,\n 44.05601169578525\n ],\n [\n -116.1474609375,\n 43.54854811091288\n ],\n [\n -115.57617187499999,\n 43.03677585761058\n ],\n [\n -114.7412109375,\n 43.26120612479979\n ],\n [\n -114.12597656249999,\n 43.866218006556394\n ],\n [\n -113.64257812499999,\n 44.5278427984555\n ],\n [\n -113.51074218749999,\n 45.182036837015886\n ],\n [\n -112.67578124999999,\n 45.82879925192134\n ],\n [\n -112.587890625,\n 46.22545288226939\n ],\n [\n -111.9287109375,\n 46.34692761055676\n ],\n [\n -110.56640625,\n 45.9511496866914\n ],\n [\n -109.951171875,\n 45.398449976304086\n ],\n [\n -109.6875,\n 44.62175409623324\n ],\n [\n -108.7646484375,\n 44.465151013519616\n ],\n [\n -107.8857421875,\n 43.77109381775651\n ],\n [\n -108.017578125,\n 42.87596410238254\n ],\n [\n -108.2373046875,\n 42.42345651793833\n ],\n [\n -108.5009765625,\n 41.57436130598913\n ],\n [\n -108.544921875,\n 41.37680856570233\n ],\n [\n -110.91796875,\n 41.244772343082104\n ],\n [\n -112.7197265625,\n 40.212440718286466\n ],\n [\n -114.12597656249999,\n 39.842286020743394\n ],\n [\n -114.697265625,\n 39.26628442213066\n ],\n [\n -115.09277343749999,\n 38.34165619279593\n ],\n [\n -114.873046875,\n 37.09023980307208\n ],\n [\n -113.90625,\n 35.31736632923788\n ],\n [\n -112.5,\n 33.97980872872457\n ],\n [\n -111.57714843749999,\n 33.61461929233378\n ],\n [\n -111.005859375,\n 31.952162238024975\n ],\n [\n -111.005859375,\n 31.27855085894653\n ],\n [\n -108.2373046875,\n 31.353636941500987\n ],\n [\n -108.1494140625,\n 31.728167146023935\n ],\n [\n -106.74316406249999,\n 31.80289258670676\n ],\n [\n -105.64453124999999,\n 31.203404950917395\n ],\n [\n -104.765625,\n 30.524413269923986\n ],\n [\n -104.4580078125,\n 29.726222319395504\n ],\n [\n -103.4033203125,\n 28.9600886880068\n ],\n [\n -102.83203125,\n 29.19053283229458\n ],\n [\n -103.1396484375,\n 30.44867367928756\n ],\n [\n -103.623046875,\n 31.80289258670676\n ],\n [\n -103.9306640625,\n 32.02670629333614\n ],\n [\n -103.974609375,\n 32.879587173066305\n ],\n [\n -104.58984375,\n 34.56085936708384\n ],\n [\n -103.6669921875,\n 35.746512259918504\n ],\n [\n -102.5244140625,\n 37.020098201368114\n ],\n [\n -102.919921875,\n 38.134556577054134\n ],\n [\n -103.22753906249999,\n 39.198205348894795\n ],\n [\n -103.5791015625,\n 39.90973623453719\n ],\n [\n -102.6123046875,\n 40.74725696280421\n ],\n [\n -101.7333984375,\n 41.37680856570233\n ],\n [\n -98.96484375,\n 41.244772343082104\n ],\n [\n -97.42675781249999,\n 41.541477666790286\n ],\n [\n -97.3828125,\n 42.16340342422401\n ],\n [\n -98.4375,\n 42.84375132629021\n ],\n [\n -98.8330078125,\n 43.58039085560786\n ],\n [\n -100.1513671875,\n 43.89789239125797\n ],\n [\n -101.42578124999999,\n 44.308126684886126\n ],\n [\n -101.6455078125,\n 45.213003555993964\n ],\n [\n -101.77734374999999,\n 46.13417004624326\n ],\n [\n -101.9970703125,\n 47.040182144806664\n ],\n [\n -102.568359375,\n 47.45780853075031\n ],\n [\n -103.4912109375,\n 47.724544549099676\n ],\n [\n -105.205078125,\n 47.81315451752768\n ],\n [\n -106.69921875,\n 48.019324184801185\n ],\n [\n -107.40234375,\n 47.78363463526376\n ],\n [\n -108.10546875,\n 47.45780853075031\n ],\n [\n -109.951171875,\n 47.57652571374621\n ],\n [\n -111.005859375,\n 48.1367666796927\n ],\n [\n -111.4013671875,\n 49.009050809382046\n ],\n [\n -123.1787109375,\n 48.980216985374994\n ],\n [\n -122.958984375,\n 48.777912755501845\n ],\n [\n -123.26660156249999,\n 48.69096039092549\n ],\n [\n -123.134765625,\n 48.42920055556841\n ],\n [\n -123.57421875,\n 48.19538740833338\n ],\n [\n -124.67285156250001,\n 48.42920055556841\n ],\n [\n -124.67285156250001,\n 47.98992166741417\n ],\n [\n -124.3212890625,\n 47.249406957888446\n ],\n [\n -123.96972656249999,\n 46.13417004624326\n ],\n [\n -124.18945312500001,\n 44.74673324024678\n ],\n [\n -124.45312499999999,\n 43.42100882994726\n ],\n [\n -124.49707031249999,\n 42.90816007196054\n ],\n [\n -124.3212890625,\n 42.261049162113856\n ],\n [\n -124.23339843749999,\n 41.409775832009565\n ],\n [\n -124.49707031249999,\n 40.41349604970198\n ],\n [\n -123.96972656249999,\n 39.87601941962116\n ],\n [\n -123.8818359375,\n 38.95940879245423\n ],\n [\n -123.134765625,\n 38.238180119798635\n ],\n [\n -123.00292968749999,\n 37.64903402157866\n ],\n [\n -121.86035156249999,\n 36.87962060502676\n ],\n [\n -121.9921875,\n 36.421282443649496\n ],\n [\n -120.84960937499999,\n 35.28150065789119\n ],\n [\n -120.673828125,\n 34.34343606848294\n ],\n [\n -120.05859375,\n 34.30714385628804\n ],\n [\n -118.65234374999999,\n 34.052659421375964\n ],\n [\n -117.7734375,\n 33.54139466898275\n ],\n [\n -117.24609374999999,\n 32.58384932565662\n ],\n [\n -115.26855468749999,\n 32.76880048488168\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-17","publicationStatus":"PW","scienceBaseUri":"56f11b4de4b0f59b85ddc3c9","contributors":{"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":623045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Means, Robert E.","contributorId":105215,"corporation":false,"usgs":true,"family":"Means","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":623046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Potter, Kevin M.","contributorId":167660,"corporation":false,"usgs":false,"family":"Potter","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":24794,"text":"Department of Forestry and Environmental Resources, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":623047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hipkins, Valerie D.","contributorId":167661,"corporation":false,"usgs":false,"family":"Hipkins","given":"Valerie","email":"","middleInitial":"D.","affiliations":[{"id":24795,"text":"National Forest Genetics Laboratory, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":623048,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176236,"text":"70176236 - 2016 - Hydrologic indicators of hot spots and hot moments of mercury methylation potential along river corridors","interactions":[],"lastModifiedDate":"2018-08-07T12:45:36","indexId":"70176236","displayToPublicDate":"2016-03-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic indicators of hot spots and hot moments of mercury methylation potential along river corridors","docAbstract":"The biogeochemical cycling of metals and other contaminants in river-floodplain corridors is controlled by microbial activity responding to dynamic redox conditions. Riverine flooding thus has the potential to affect speciation of redox-sensitive metals such as mercury (Hg). Therefore, inundation history over a period of decades potentially holds information on past production of bioavailable Hg. We investigate this within a Northern California river system with a legacy of landscape-scale 19th century hydraulic gold mining. We combine hydraulic modeling, Hg measurements in sediment and biota, and first-order calculations of mercury transformation to assess the potential role of river floodplains in producing monomethylmercury (MMHg), a neurotoxin which accumulates in local and migratory food webs. We identify frequently inundated floodplain areas, as well as floodplain areas inundated for long periods. We quantify the probability of MMHg production potential (MPP) associated with hydrology in each sector of the river system as a function of the spatial patterns of overbank inundation and drainage, which affect long-term redox history of contaminated sediments. Our findings identify river floodplains as periodic, temporary, yet potentially important, loci of biogeochemical transformation in which contaminants may undergo change during limited periods of the hydrologic record. We suggest that inundation is an important driver of MPP in river corridors and that the entire flow history must be analyzed retrospectively in terms of inundation magnitude and frequency in order to accurately assess biogeochemical risks, rather than merely highlighting the largest floods or low-flow periods. MMHg bioaccumulation within the aquatic food web in this system may pose a major risk to humans and waterfowl that eat migratory salmonids, which are being encouraged to come up these rivers to spawn. There is a long-term pattern of MPP under the current flow regime that is likely to be accentuated by increasingly common large floods with extended duration.
","language":"English","publisher":"ScienceDirect","doi":"10.1016/j.scitotenv.2016.03.005","usgsCitation":"Singer, M.B., Harrison, L.R., Donovan, P.M., Blum, J.D., and Marvin-DiPasquale, M.C., 2016, Hydrologic indicators of hot spots and hot moments of mercury methylation potential along river corridors: Science of the Total Environment, v. 568, p. 697-711, https://doi.org/10.1016/j.scitotenv.2016.03.005.","productDescription":"15 p.","startPage":"697","endPage":"711","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071066","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":471145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.03.005","text":"Publisher Index Page"},{"id":328234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Bear River, Feather River, Sacramento River, Yuba River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.01965332031249,\n 38.13887716726548\n ],\n [\n -122.01965332031249,\n 39.317300373271024\n ],\n [\n -121.2451171875,\n 39.317300373271024\n ],\n [\n -121.2451171875,\n 38.13887716726548\n ],\n [\n -122.01965332031249,\n 38.13887716726548\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"568","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cd45abe4b0f2f0cec4cb4e","contributors":{"authors":[{"text":"Singer, Michael B.","contributorId":168369,"corporation":false,"usgs":false,"family":"Singer","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":25268,"text":"University of St Andrews, UK","active":true,"usgs":false}],"preferred":false,"id":647993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":647994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Patrick M.","contributorId":168368,"corporation":false,"usgs":false,"family":"Donovan","given":"Patrick","email":"","middleInitial":"M.","affiliations":[{"id":25267,"text":"Univ. of Michigan","active":true,"usgs":false}],"preferred":false,"id":647995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blum, Joel D.","contributorId":83657,"corporation":false,"usgs":true,"family":"Blum","given":"Joel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":647996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":647992,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70168374,"text":"sir20165024 - 2016 - Estimating flood magnitude and frequency at gaged and ungaged sites on streams in Alaska and conterminous basins in Canada, based on data through water year 2012","interactions":[],"lastModifiedDate":"2022-09-15T18:41:32.475293","indexId":"sir20165024","displayToPublicDate":"2016-03-16T14:00:00","publicationYear":"2016","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":"2016-5024","title":"Estimating flood magnitude and frequency at gaged and ungaged sites on streams in Alaska and conterminous basins in Canada, based on data through water year 2012","docAbstract":"Estimates of the magnitude and frequency of floods are needed across Alaska for engineering design of transportation and water-conveyance structures, flood-insurance studies, flood-plain management, and other water-resource purposes. This report updates methods for estimating flood magnitude and frequency in Alaska and conterminous basins in Canada. Annual peak-flow data through water year 2012 were compiled from 387 streamgages on unregulated streams with at least 10 years of record. Flood-frequency estimates were computed for each streamgage using the Expected Moments Algorithm to fit a Pearson Type III distribution to the logarithms of annual peak flows. A multiple Grubbs-Beck test was used to identify potentially influential low floods in the time series of peak flows for censoring in the flood frequency analysis.
For two new regional skew areas, flood-frequency estimates using station skew were computed for stations with at least 25 years of record for use in a Bayesian least-squares regression analysis to determine a regional skew value. The consideration of basin characteristics as explanatory variables for regional skew resulted in improvements in precision too small to warrant the additional model complexity, and a constant model was adopted. Regional Skew Area 1 in eastern-central Alaska had a regional skew of 0.54 and an average variance of prediction of 0.45, corresponding to an effective record length of 22 years. Regional Skew Area 2, encompassing coastal areas bordering the Gulf of Alaska, had a regional skew of 0.18 and an average variance of prediction of 0.12, corresponding to an effective record length of 59 years. Station flood-frequency estimates for study sites in regional skew areas were then recomputed using a weighted skew incorporating the station skew and regional skew. In a new regional skew exclusion area outside the regional skew areas, the density of long-record streamgages was too sparse for regional analysis and station skew was used for all estimates. Final station flood frequency estimates for all study streamgages are presented for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities.
Regional multiple-regression analysis was used to produce equations for estimating flood frequency statistics from explanatory basin characteristics. Basin characteristics, including physical and climatic variables, were updated for all study streamgages using a geographical information system and geospatial source data. Screening for similar-sized nested basins eliminated hydrologically redundant sites, and screening for eligibility for analysis of explanatory variables eliminated regulated peaks, outburst peaks, and sites with indeterminate basin characteristics. An ordinary least‑squares regression used flood-frequency statistics and basin characteristics for 341 streamgages (284 in Alaska and 57 in Canada) to determine the most suitable combination of basin characteristics for a flood-frequency regression model and to explore regional grouping of streamgages for explaining variability in flood-frequency statistics across the study area. The most suitable model for explaining flood frequency used drainage area and mean annual precipitation as explanatory variables for the entire study area as a region. Final regression equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probability discharge in Alaska and conterminous basins in Canada were developed using a generalized least-squares regression. The average standard error of prediction for the regression equations for the various annual exceedance probabilities ranged from 69 to 82 percent, and the pseudo-coefficient of determination (pseudo-R2) ranged from 85 to 91 percent.
The regional regression equations from this study were incorporated into the U.S. Geological Survey StreamStats program for a limited area of the State—the Cook Inlet Basin. StreamStats is a national web-based geographic information system application that facilitates retrieval of streamflow statistics and associated information. StreamStats retrieves published data for gaged sites and, for user-selected ungaged sites, delineates drainage areas from topographic and hydrographic data, computes basin characteristics, and computes flood frequency estimates using the regional regression equations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165024","collaboration":"Prepared in cooperation with the Alaska Department of Transportation and Public Facilities, Alaska Department of Natural Resources, and U.S. Army Corps of Engineers","usgsCitation":"Curran, J.H., Barth, N.A., Veilleux, A.G., and Ourso, R.T., 2016, Estimating flood magnitude and frequency at gaged and ungaged sites on streams in Alaska and conterminous basins in Canada, based on data through water year 2012: U.S. Geological Survey Scientific Investigations Report 2016–5024, 47 p., https://dx.doi.org/10.3133/sir20165024.","productDescription":"Report: vi, 47 p.; 3 Tables; 1 Appendix; Companion File; Database","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-10-01","ipdsId":"IP-068358","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":438636,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P143KNEJ","text":"USGS data release","linkHelpText":"Selected Basin Boundaries for USGS Streamgages in Alaska Through 2014"},{"id":438635,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WANH3M","text":"USGS data release","linkHelpText":"Flood Frequency Data and 2022 Observed Flood Probability for Two Streamgages in the Delta River Basin, Alaska, 1963-2022"},{"id":438634,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IZB7HH","text":"USGS data release","linkHelpText":"Flood Frequency Data Collection, Alaska and Conterminous Basins in Canada"},{"id":438633,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YGWNDR","text":"USGS data release","linkHelpText":"Flood Frequency Data for a Streamgage in the Hulahula River Basin, Alaska, 2011-2021"},{"id":438632,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JEL0UU","text":"USGS data release","linkHelpText":"Flood Frequency Data and 2020 Observed Flood Probability for Selected Streamgages in the Fortymile River Basin, Alaska, 1911-2020"},{"id":318921,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5024/sir20165024_table09.xlsx","text":"Table 9","size":"78 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":318920,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5024/sir20165024_appendixa.xlsx","text":"Appendix A","size":"99 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":318919,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5024/sir20165024_table04.xlsx","text":"Table 4","size":"88 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":318918,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5024/sir20165024_table01.xlsx","text":"Table 1","size":"68 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":318917,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2016/5024/sir20165024_Applications-of-Methods-Tool-version-1.2.xlsx","text":"Application of Methods Tool version 1.2","size":"48 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":318922,"rank":8,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5024/coverthb.jpg"},{"id":318915,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5024/sir20165024.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5024 Report PDF"},{"id":318916,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sir/2016/5024/sir20165024_geodatabase_BasinChar.gdb.zip","text":"Geodatabase of basin characteristics","size":"106 KB","linkFileType":{"id":6,"text":"zip"}}],"country":"Canada, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.517578125,\n 54.316523240258284\n ],\n [\n -127.79296875,\n 55.727110085045986\n ],\n [\n -126.826171875,\n 57.657157596582984\n ],\n [\n -127.705078125,\n 59.489726035537075\n ],\n [\n -131.396484375,\n 60.54377524118842\n ],\n [\n -132.802734375,\n 61.98026726504402\n ],\n [\n -131.044921875,\n 63.194018438087845\n ],\n [\n -130.693359375,\n 64.35893097894458\n ],\n [\n -131.396484375,\n 65.18303007291382\n ],\n [\n -134.033203125,\n 65.5129625532949\n ],\n [\n -136.23046875,\n 65.87472467098549\n ],\n [\n -137.8125,\n 66.40795547978848\n ],\n [\n -136.23046875,\n 67.16995497083367\n ],\n [\n -136.845703125,\n 68.00757101804004\n ],\n [\n -138.8671875,\n 68.942606818121\n ],\n [\n -141.15234374999997,\n 69.16255790810501\n ],\n [\n -141.328125,\n 69.7181066990676\n ],\n [\n -143.525390625,\n 70.1403642720717\n ],\n [\n -144.755859375,\n 70.08056215839737\n ],\n [\n -148.53515625,\n 70.4367988185464\n ],\n [\n -151.69921875,\n 70.46620742226558\n ],\n [\n -152.841796875,\n 70.9883492241249\n ],\n [\n -155.478515625,\n 71.27259471233448\n ],\n [\n -157.58789062499997,\n 71.30079291637452\n ],\n [\n -158.994140625,\n 70.8734913192635\n ],\n [\n -161.630859375,\n 70.34831755984781\n ],\n [\n -162.68554687499997,\n 69.93030017617484\n ],\n [\n -163.65234374999997,\n 69.16255790810501\n ],\n [\n -166.11328125,\n 68.87935761076949\n ],\n [\n -166.728515625,\n 68.49604022839505\n ],\n [\n -165.146484375,\n 67.80924450600008\n ],\n [\n -163.037109375,\n 66.687783861162\n ],\n [\n -161.455078125,\n 66.33750501996518\n ],\n [\n -163.4765625,\n 66.16051056018838\n ],\n [\n -163.916015625,\n 66.86108230224612\n ],\n [\n -166.55273437499997,\n 66.08936427047088\n ],\n [\n -168.310546875,\n 65.58572002329473\n ],\n [\n -166.81640625,\n 65.18303007291382\n ],\n [\n -166.376953125,\n 64.35893097894458\n ],\n [\n -164.35546875,\n 64.35893097894458\n ],\n [\n -161.982421875,\n 64.47279382008166\n ],\n [\n -161.279296875,\n 64.66151739623564\n ],\n [\n -160.6640625,\n 63.82128765261384\n ],\n [\n -163.388671875,\n 63.27318217465046\n ],\n [\n -164.794921875,\n 63.31268278043484\n ],\n [\n -166.11328125,\n 61.81466389468391\n ],\n [\n -165.322265625,\n 60.673178565817715\n ],\n [\n -164.267578125,\n 59.84481485969105\n ],\n [\n -161.806640625,\n 59.130863097255904\n ],\n [\n -161.806640625,\n 58.44773280389084\n ],\n [\n -159.345703125,\n 58.81374171570782\n ],\n [\n -157.236328125,\n 58.722598828043374\n ],\n [\n -159.08203125,\n 57.18390185831188\n ],\n [\n -161.806640625,\n 56.022948079627454\n ],\n [\n -164.443359375,\n 55.27911529201561\n ],\n [\n -164.70703125,\n 54.265224078605655\n ],\n [\n -160.400390625,\n 54.826007999094955\n ],\n [\n -156.4453125,\n 55.677584411089505\n ],\n [\n -152.75390624999997,\n 57.136239319177434\n ],\n [\n -151.083984375,\n 58.309488840677645\n ],\n [\n -149.4140625,\n 59.84481485969105\n ],\n [\n -146.513671875,\n 60.28340847828243\n ],\n [\n -144.31640625,\n 59.84481485969105\n ],\n [\n -141.50390625,\n 60.10867046303597\n ],\n [\n -138.603515625,\n 58.99531118795094\n ],\n [\n -135.791015625,\n 56.992882804633986\n ],\n [\n -133.330078125,\n 54.87660665410869\n ],\n [\n -131.66015625,\n 54.11094294272432\n ],\n [\n -130.517578125,\n 54.316523240258284\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508-4560
http://alaska.usgs.gov
Long-term fish sampling data from the San Francisco Estuary were combined with detailed three dimensional hydrodynamic modeling to investigate the relationship between historical fish catch and hydrodynamic complexity. Delta Smelt catch data at 45 stations from the Fall Midwater Trawl (FMWT) survey in the vicinity of Suisun Bay were used to develop a quantitative catch-based station index. This index was used to rank stations based on historical Delta Smelt catch. The correlations between historical Delta Smelt catch and 35 quantitative metrics of environmental complexity were evaluated at each station. Eight metrics of environmental conditions were derived from FMWT data and 27 metrics were derived from model predictions at each FMWT station. To relate the station index to conceptual models of Delta Smelt habitat, the metrics were used to predict the station ranking based on the quantified environmental conditions. Salinity, current speed, and turbidity metrics were used to predict the relative ranking of each station for Delta Smelt catch. Including a measure of the current speed at each station improved predictions of the historical ranking for Delta Smelt catch relative to similar predictions made using only salinity and turbidity. Current speed was also found to be a better predictor of historical Delta Smelt catch than water depth. The quantitative approach developed using the FMWT data was validated using the Delta Smelt catch data from the San Francisco Bay Study. Complexity metrics in Suisun Bay were-evaluated during 2010 and 2011. This analysis indicated that a key to historical Delta Smelt catch is the overlap of low salinity, low maximum velocity, and low Secchi depth regions. This overlap occurred in Suisun Bay during 2011, and may have contributed to higher Delta Smelt abundance in 2011 than in 2010 when the favorable ranges of the metrics did not overlap in Suisun Bay.
","language":"English","publisher":"University of California at Davis John Muir Institute of the Environment and the Delta Stewardship Council","doi":"10.15447/sfews.2016v14iss1art3","usgsCitation":"Bever, A.J., MacWilliams, M.L., Herbold, B., Brown, L.R., and Feyrer, F.V., 2016, Linking hydrodynamic complexity to delta smelt (Hypomesus transpacificus) distribution in the San Francisco Estuary, USA: San Francisco Estuary and Watershed Science, v. 14, no. 1, p. 1-27, https://doi.org/10.15447/sfews.2016v14iss1art3.","productDescription":"27 p.","startPage":"1","endPage":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063936","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":471146,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss1art3","text":"Publisher Index Page"},{"id":325464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.6845703125,\n 38.1734326790354\n ],\n [\n -121.6680908203125,\n 38.14103736644331\n ],\n [\n -121.64611816406249,\n 38.089174937729794\n ],\n [\n -121.66259765625001,\n 38.035112420612975\n ],\n [\n -121.67495727539061,\n 37.99724489645483\n ],\n [\n -121.75048828124999,\n 38.00049145082287\n ],\n [\n -121.86447143554686,\n 38.01888587738773\n ],\n [\n -121.96197509765625,\n 38.034030762875844\n ],\n [\n -122.05535888671875,\n 38.037275688165614\n ],\n [\n -122.09793090820311,\n 38.031867399480674\n ],\n [\n -122.14187622070311,\n 38.024295124443995\n ],\n [\n -122.19680786132812,\n 38.034030762875844\n ],\n [\n -122.21054077148438,\n 38.04700960141592\n ],\n [\n -122.22702026367188,\n 38.06647354576796\n ],\n [\n -122.2119140625,\n 38.0729603768343\n ],\n [\n -122.14462280273436,\n 38.052416771864834\n ],\n [\n -122.12265014648438,\n 38.064311140919\n ],\n [\n -122.08694458007812,\n 38.09782123329514\n ],\n [\n -122.07046508789062,\n 38.129155479572624\n ],\n [\n -122.05261230468751,\n 38.23386541556983\n ],\n [\n -122.02926635742188,\n 38.25004423627535\n ],\n [\n -122.00042724609374,\n 38.23170796744926\n ],\n [\n -121.99630737304688,\n 38.182068998322094\n ],\n [\n -121.97708129882812,\n 38.155077102180655\n ],\n [\n -121.87408447265625,\n 38.134556577054134\n ],\n [\n -121.761474609375,\n 38.1334763895322\n ],\n [\n -121.6845703125,\n 38.1734326790354\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-23","publicationStatus":"PW","scienceBaseUri":"5790a183e4b030378fb4743b","contributors":{"authors":[{"text":"Bever, Aaron J.","contributorId":173009,"corporation":false,"usgs":false,"family":"Bever","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":27140,"text":"Delta Modeling Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":642984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacWilliams, Michael L.","contributorId":173010,"corporation":false,"usgs":false,"family":"MacWilliams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":27140,"text":"Delta Modeling Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":642985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herbold, Bruce","contributorId":51223,"corporation":false,"usgs":false,"family":"Herbold","given":"Bruce","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":642986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":5901,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169061,"text":"70169061 - 2016 - Threshold responses of Blackside Dace (Chrosomus cumberlandensis) and Kentucky Arrow Darter (Etheostoma spilotum) to stream conductivity","interactions":[],"lastModifiedDate":"2016-03-16T10:08:20","indexId":"70169061","displayToPublicDate":"2016-03-16T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Threshold responses of Blackside Dace (Chrosomus cumberlandensis) and Kentucky Arrow Darter (Etheostoma spilotum) to stream conductivity","docAbstract":"Chrosomus cumberlandensis (Blackside Dace [BSD]) and Etheostoma spilotum (Kentucky Arrow Darter [KAD]) are fish species of conservation concern due to their fragmented distributions, their low population sizes, and threats from anthropogenic stressors in the southeastern United States. We evaluated the relationship between fish abundance and stream conductivity, an index of environmental quality and potential physiological stressor. We modeled occurrence and abundance of KAD in the upper Kentucky River basin (208 samples) and BSD in the upper Cumberland River basin (294 samples) for sites sampled between 2003 and 2013. Segmented regression indicated a conductivity change-point for BSD abundance at 343 μS/cm (95% CI: 123–563 μS/cm) and for KAD abundance at 261 μS/cm (95% CI: 151–370 μS/cm). In both cases, abundances were negligible above estimated conductivity change-points. Post-hoc randomizations accounted for variance in estimated change points due to unequal sample sizes across the conductivity gradients. Boosted regression-tree analysis indicated stronger effects of conductivity than other natural and anthropogenic factors known to influence stream fishes. Boosted regression trees further indicated threshold responses of BSD and KAD occurrence to conductivity gradients in support of segmented regression results. We suggest that the observed conductivity relationship may indicate energetic limitations for insectivorous fishes due to changes in benthic macroinvertebrate community composition.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.015.0104","usgsCitation":"Hitt, N.P., Floyd, M., Compton, M., and McDonald, K., 2016, Threshold responses of Blackside Dace (Chrosomus cumberlandensis) and Kentucky Arrow Darter (Etheostoma spilotum) to stream conductivity: Southeastern Naturalist, v. 15, no. 1, p. 41-60, https://doi.org/10.1656/058.015.0104.","productDescription":"20 p.","startPage":"41","endPage":"60","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067031","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":318899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ea759de4b0f59b85d897a4","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":622729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Floyd, Michael","contributorId":167568,"corporation":false,"usgs":false,"family":"Floyd","given":"Michael","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":622730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Compton, Michael","contributorId":167569,"corporation":false,"usgs":false,"family":"Compton","given":"Michael","email":"","affiliations":[{"id":24755,"text":"Kentucky State Nature Preserves Commission","active":true,"usgs":false}],"preferred":false,"id":622731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald, Kenneth","contributorId":167570,"corporation":false,"usgs":false,"family":"McDonald","given":"Kenneth","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":622732,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70169064,"text":"70169064 - 2016 - Overestimation of marsh vulnerability to sea level rise","interactions":[],"lastModifiedDate":"2016-03-16T10:01:19","indexId":"70169064","displayToPublicDate":"2016-03-16T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Overestimation of marsh vulnerability to sea level rise","docAbstract":"Coastal marshes are considered to be among the most valuable and vulnerable ecosystems on Earth, where the imminent loss of ecosystem services is a feared consequence of sea level rise. However, we show with a meta-analysis that global measurements of marsh elevation change indicate that marshes are generally building at rates similar to or exceeding historical sea level rise, and that process-based models predict survival under a wide range of future sea level scenarios. We argue that marsh vulnerability tends to be overstated because assessment methods often fail to consider biophysical feedback processes known to accelerate soil building with sea level rise, and the potential for marshes to migrate inland.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nclimate2909","usgsCitation":"Kirwan, M., Temmerman, S., Skeehan, E.E., Guntenspergen, G.R., and Fagherazzi, S., 2016, Overestimation of marsh vulnerability to sea level rise: Nature Climate Change, v. 6, p. 253-260, https://doi.org/10.1038/nclimate2909.","productDescription":"8 p.","startPage":"253","endPage":"260","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064983","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471147,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10067/1324470151162165141","text":"External Repository"},{"id":318898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-24","publicationStatus":"PW","scienceBaseUri":"56ea759be4b0f59b85d8979b","contributors":{"authors":[{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":622803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Temmerman, Stijn","contributorId":71682,"corporation":false,"usgs":true,"family":"Temmerman","given":"Stijn","affiliations":[],"preferred":false,"id":622804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skeehan, Emily E.","contributorId":167594,"corporation":false,"usgs":false,"family":"Skeehan","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":622805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":622749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagherazzi, Sergio","contributorId":89282,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"Sergio","affiliations":[],"preferred":false,"id":622806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169068,"text":"70169068 - 2016 - Spatial and temporal patterns of cloud cover and fog inundation in coastal California: Ecological implications","interactions":[],"lastModifiedDate":"2016-06-24T11:08:13","indexId":"70169068","displayToPublicDate":"2016-03-16T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal patterns of cloud cover and fog inundation in coastal California: Ecological implications","docAbstract":"The presence of low-lying stratocumulus clouds and fog has been known to modify biophysical and ecological properties in coastal California where forests are frequently shaded by low-lying clouds or immersed in fog during otherwise warm and dry summer months. Summer fog and stratus can ameliorate summer drought stress and enhance soil water budgets, and often have different spatial and temporal patterns. Here we use remote sensing datasets to characterize the spatial and temporal patterns of cloud cover over California’s northern Channel Islands. We found marine stratus to be persistent from May through September across the years 2001-2012. Stratus clouds were both most frequent and had the greatest spatial extent in July. Clouds typically formed in the evening, and dissipated by the following early afternoon. We present a novel method to downscale satellite imagery using atmospheric observations and discriminate patterns of fog from those of stratus and help explain patterns of fog deposition previously studied on the islands. The outcomes of this study contribute significantly to our ability to quantify the occurrence of coastal fog at biologically meaningful spatial and temporal scales that can improve our understanding of cloud-ecosystem interactions, species distributions and coastal ecohydrology.
","language":"English","publisher":"American Meterorological Society","doi":"10.1175/EI-D-15-0033.1","usgsCitation":"Rastogi, B., Williams, A.P., Fischer, D.T., Iacobellis, S.F., McEachern, K., Carvalho, L., Jones, C.L., Baguskas, S.A., and Still, C.J., 2016, Spatial and temporal patterns of cloud cover and fog inundation in coastal California: Ecological implications: Earth Interactions, v. 20, Paper 15; 19 p., https://doi.org/10.1175/EI-D-15-0033.1.","productDescription":"Paper 15; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073097","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471148,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-15-0033.1","text":"Publisher Index Page"},{"id":318897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.45959472656249,\n 33.880677127838844\n ],\n [\n -120.45959472656249,\n 34.08564930273551\n ],\n [\n -119.32662963867188,\n 34.08564930273551\n ],\n [\n -119.32662963867188,\n 33.880677127838844\n ],\n [\n -120.45959472656249,\n 33.880677127838844\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"56ea759ce4b0f59b85d8979f","contributors":{"authors":[{"text":"Rastogi, Bharat","contributorId":167577,"corporation":false,"usgs":false,"family":"Rastogi","given":"Bharat","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, A. Park","contributorId":88456,"corporation":false,"usgs":true,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[],"preferred":false,"id":622756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, Douglas T.","contributorId":167578,"corporation":false,"usgs":false,"family":"Fischer","given":"Douglas","email":"","middleInitial":"T.","affiliations":[{"id":24759,"text":"Strategic Environmental Consulting; University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":622758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iacobellis, Sam F.","contributorId":11502,"corporation":false,"usgs":true,"family":"Iacobellis","given":"Sam","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":622757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":622754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carvalho, Leila","contributorId":167579,"corporation":false,"usgs":false,"family":"Carvalho","given":"Leila","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":622759,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Charles Leslie","contributorId":27790,"corporation":false,"usgs":true,"family":"Jones","given":"Charles","email":"","middleInitial":"Leslie","affiliations":[],"preferred":false,"id":622760,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baguskas, Sara A.","contributorId":167580,"corporation":false,"usgs":false,"family":"Baguskas","given":"Sara","email":"","middleInitial":"A.","affiliations":[{"id":24760,"text":"University of California, Santa Barbara and Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":622761,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Still, Christopher J.","contributorId":167581,"corporation":false,"usgs":false,"family":"Still","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":24761,"text":"University of California, Santa Barbara; Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622762,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70170130,"text":"70170130 - 2016 - Estimating abundance in the presence of species uncertainty","interactions":[],"lastModifiedDate":"2016-09-19T15:52:34","indexId":"70170130","displayToPublicDate":"2016-03-16T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance in the presence of species uncertainty","docAbstract":"1.N-mixture models have become a popular method for estimating abundance of free-ranging animals that are not marked or identified individually. These models have been used on count data for single species that can be identified with certainty. However, co-occurring species often look similar during one or more life stages, making it difficult to assign species for all recorded captures. This uncertainty creates problems for estimating species-specific abundance and it can often limit life stages to which we can make inference.
\n2.We present a new extension of N-mixture models that accounts for species uncertainty. In addition to estimating site-specific abundances and detection probabilities, this model allows estimating probability of correct assignment of species identity. We implement this hierarchical model in a Bayesian framework and provide all code for running the model in BUGS-language programs.
\n3.We present an application of the model on count data from two sympatric freshwater fishes, the brook stickleback (Culaea inconstans) and the ninespine stickleback (Pungitius pungitius), ad illustrate implementation of covariate effects (habitat characteristics). In addition, we used a simulation study to validate the model and illustrate potential sample size issues. We also compared, for both real and simulated data, estimates provided by our model to those obtained by a simple N-mixture model when captures of unknown species identification were discarded. In the latter case, abundance estimates appeared highly biased and very imprecise, while our new model provided unbiased estimates with higher precision.
\n4.This extension of the N-mixture model should be useful for a wide variety of studies and taxa, as species uncertainty is a common issue. It should notably help improve investigation of abundance and vital rate characteristics of organisms’ early life stages, which are sometimes more difficult to identify than adults.
\nWest Nile virus (WNV) spread to the US western plains states in 2003, when a significant mortality event attributed to WNV occurred in Greater Sage-grouse ( Centrocercus urophasianus ). The role of avian species inhabiting sagebrush in the amplification of WNV in arid and semiarid regions of the North America is unknown. We conducted an experimental WNV challenge study in Vesper Sparrows ( Pooecetes gramineus ), a species common to sagebrush and grassland habitats found throughout much of North America. We found Vesper Sparrows to be moderately susceptible to WNV, developing viremia considered sufficient to transmit WNV to feeding mosquitoes, but the majority of birds were capable of surviving infection and developing a humoral immune response to the WNV nonstructural 1 and envelope proteins. Despite clearance of viremia, after 6 mo, WNV was detected molecularly in three birds and cultured from one bird. Surviving Vesper Sparrows were resistant to reinfection 6 mo after the initial challenge. Vesper sparrows could play a role in the amplification of WNV in sagebrush habitat and other areas of their range, but rapid clearance of WNV may limit their importance as competent amplification hosts of WNV.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Lawrence, KS","doi":"10.7589/2015-06-148","usgsCitation":"Hofmeister, E.K., Dusek, R.J., Fassbinder-Orth, C., Owen, B., and Franson, J., 2016, Susceptibility and antibody response of Vesper Sparrows (Pooecetes gramineus) to West Nile virus: A potential amplification host in sagebrush-grassland habitat: Journal of Wildlife Diseases, v. 52, no. 2, 9 p., https://doi.org/10.7589/2015-06-148.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068995","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":318951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.075,\n 41.475\n ],\n [\n -118.075,\n 41.465\n ],\n [\n -118.065,\n 41.465\n ],\n [\n -118.065,\n 41.475\n ],\n [\n -118.075,\n 41.475\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ed26b6e4b0f59b85db0a33","contributors":{"authors":[{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":622930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":152316,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":622931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fassbinder-Orth, Carol","contributorId":167623,"corporation":false,"usgs":false,"family":"Fassbinder-Orth","given":"Carol","email":"","affiliations":[{"id":24786,"text":"Creighton University, Omaha, NE, 68178, USA","active":true,"usgs":false}],"preferred":false,"id":622932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Owen, Benjamin","contributorId":167624,"corporation":false,"usgs":false,"family":"Owen","given":"Benjamin","email":"","affiliations":[{"id":24786,"text":"Creighton University, Omaha, NE, 68178, USA","active":true,"usgs":false}],"preferred":false,"id":622933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Franson, J. Christian jfranson@usgs.gov","contributorId":149318,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","email":"jfranson@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":622934,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174957,"text":"70174957 - 2016 - The Pliocene Model Intercomparison Project (PlioMIP) Phase 2: Scientific objectives and experimental design","interactions":[],"lastModifiedDate":"2016-07-22T16:03:58","indexId":"70174957","displayToPublicDate":"2016-03-16T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"The Pliocene Model Intercomparison Project (PlioMIP) Phase 2: Scientific objectives and experimental design","docAbstract":"The Pliocene Model Intercomparison Project (PlioMIP) is a co-ordinated international climate modelling initiative to study and understand climate and environments of the Late Pliocene, as well as their potential relevance in the context of future climate change. PlioMIP examines the consistency of model predictions in simulating Pliocene climate and their ability to reproduce climate signals preserved by geological climate archives. Here we provide a description of the aim and objectives of the next phase of the model intercomparison project (PlioMIP Phase 2), and we present the experimental design and boundary conditions that will be utilized for climate model experiments in Phase 2.
\nFollowing on from PlioMIP Phase 1, Phase 2 will continue to be a mechanism for sampling structural uncertainty within climate models. However, Phase 1 demonstrated the requirement to better understand boundary condition uncertainties as well as uncertainty in the methodologies used for data–model comparison. Therefore, our strategy for Phase 2 is to utilize state-of-the-art boundary conditions that have emerged over the last 5 years. These include a new palaeogeographic reconstruction, detailing ocean bathymetry and land–ice surface topography. The ice surface topography is built upon the lessons learned from offline ice sheet modelling studies. Land surface cover has been enhanced by recent additions of Pliocene soils and lakes. Atmospheric reconstructions of palaeo-CO2 are emerging on orbital timescales, and these are also incorporated into PlioMIP Phase 2. New records of surface and sea surface temperature change are being produced that will be more temporally consistent with the boundary conditions and forcings used within models.
\nFinally we have designed a suite of prioritized experiments that tackle issues surrounding the basic understanding of the Pliocene and its relevance in the context of future climate change in a discrete way.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/cp-12-663-2016","usgsCitation":"Haywood, A.M., Dowsett, H.J., Dolan, A.M., Rowley, D., Abe-Ouchi, A., Otto-Bliesner, B., Chandler, M.A., Hunter, S.J., Lunt, D.J., Pound, M., and Salzmann, U., 2016, The Pliocene Model Intercomparison Project (PlioMIP) Phase 2: Scientific objectives and experimental design: Climate of the Past, v. 12, no. 3, p. 663-675, https://doi.org/10.5194/cp-12-663-2016.","productDescription":"13 p.","startPage":"663","endPage":"675","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060058","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471149,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-12-663-2016","text":"Publisher Index Page"},{"id":325565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-16","publicationStatus":"PW","scienceBaseUri":"5793444de4b0eb1ce79e8c1d","contributors":{"authors":[{"text":"Haywood, Alan M.","contributorId":86663,"corporation":false,"usgs":true,"family":"Haywood","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolan, Aisling M.","contributorId":30117,"corporation":false,"usgs":true,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowley, David","contributorId":173099,"corporation":false,"usgs":false,"family":"Rowley","given":"David","email":"","affiliations":[{"id":12621,"text":"University of Chicago and University of South Florida","active":true,"usgs":false}],"preferred":false,"id":643342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abe-Ouchi, Ayako","contributorId":94942,"corporation":false,"usgs":true,"family":"Abe-Ouchi","given":"Ayako","email":"","affiliations":[],"preferred":false,"id":643343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Otto-Bliesner, Bette","contributorId":58171,"corporation":false,"usgs":true,"family":"Otto-Bliesner","given":"Bette","affiliations":[],"preferred":false,"id":643344,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chandler, Mark A.","contributorId":101768,"corporation":false,"usgs":true,"family":"Chandler","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":643345,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hunter, Stephen J.","contributorId":55711,"corporation":false,"usgs":true,"family":"Hunter","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":643346,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lunt, Daniel J.","contributorId":101168,"corporation":false,"usgs":true,"family":"Lunt","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":643347,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pound, Matthew","contributorId":173100,"corporation":false,"usgs":false,"family":"Pound","given":"Matthew","email":"","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":643357,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Salzmann, Ulrich","contributorId":173101,"corporation":false,"usgs":false,"family":"Salzmann","given":"Ulrich","email":"","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":643358,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70162692,"text":"ofr20161013 - 2016 - Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River—Annual report 2014","interactions":[],"lastModifiedDate":"2016-03-17T09:14:13","indexId":"ofr20161013","displayToPublicDate":"2016-03-16T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1013","title":"Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River—Annual report 2014","docAbstract":"The Comprehensive Sturgeon Research Project is a multiyear, multiagency collaborative research framework developed to provide information to support pallid sturgeon recovery and Missouri River management decisions. The project strategy integrates field and laboratory studies of sturgeon reproductive ecology, early life history, habitat requirements, and physiology. The project scope of work is developed annually with collaborating research partners and in cooperation with the U.S. Army Corps of Engineers, Missouri River Recovery Program–Integrated Science Program. The project research consists of several interdependent and complementary tasks that involve multiple disciplines.
The project research tasks in the 2014 scope of work emphasized understanding of reproductive migrations and spawning of adult pallid sturgeon and hatch and drift of larvae. These tasks were addressed in three hydrologically and geomorphologically distinct parts of the Missouri River Basin: the Lower Missouri River downstream from Gavins Point Dam, the Upper Missouri River downstream from Fort Peck Dam and downstream reaches of the Milk River, and the Lower Yellowstone River. The project research is designed to inform management decisions related to channel re-engineering, flow modification, and pallid sturgeon population augmentation on the Missouri River and throughout the range of the species. Research and progress made through this project are reported to the U.S. Army Corps of Engineers annually. This annual report details the research effort and progress made by the Comprehensive Sturgeon Research Project during 2014.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161013","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Missouri River Recovery—Integrated Science Program","usgsCitation":"DeLonay, A.J., Chojnacki, K.A., Jacobson, R.B., Braaten, P.J., Buhl, K.J., Elliott, C.M., Erwin, S.O., Faulkner, J.D.A., Candrl, J.S., Fuller, D.B., Backes, K.M., Haddix, T.M., Rugg, M.L., Wesolek, C.J., Eder, B.L., and Mestl, G.E., 2016,\nEcological requirements for pallid sturgeon reproduction and recruitment in the Missouri River—Annual report 2014: U.S. Geological Survey Open-File Report 2016–1013, 131 p., https://dx.doi.org/10.3133/ofr20161013.","productDescription":"xv, 131 p.","numberOfPages":"152","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065464","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":318883,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1013/coverthb.jpg"},{"id":318884,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1013/ofr20161013.pdf","text":"Report","size":"24.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1013"}],"country":"United States","state":"Missouri, Montana, Nebraska","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.57812499999999,\n 47.956823800497475\n ],\n [\n -107.57812499999999,\n 48.629278127969414\n ],\n [\n -104.029541015625,\n 48.629278127969414\n ],\n [\n -104.029541015625,\n 47.956823800497475\n ],\n [\n -107.57812499999999,\n 47.956823800497475\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.84423828125,\n 41.054501963290505\n ],\n [\n -97.84423828125,\n 42.956422511073335\n ],\n [\n -95.78979492187499,\n 42.956422511073335\n ],\n [\n -95.78979492187499,\n 41.054501963290505\n ],\n [\n -97.84423828125,\n 41.054501963290505\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.08441162109374,\n 38.52668162061619\n ],\n [\n -93.08441162109374,\n 39.3024245604149\n ],\n [\n -91.67816162109375,\n 39.3024245604149\n ],\n [\n -91.67816162109375,\n 38.52668162061619\n ],\n [\n -93.08441162109374,\n 38.52668162061619\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201
To address concerns about the effects of water-resource management practices and rising sea level on saltwater intrusion, the U.S. Geological Survey in cooperation with the Broward County Environmental Planning and Community Resilience Division, initiated a study to examine causes of saltwater intrusion and predict the effects of future alterations to the hydrologic system on salinity distribution in eastern Broward County, Florida. A three-dimensional, variable-density solute-transport model was calibrated to conditions from 1970 to 2012, the period for which data are most complete and reliable, and was used to simulate historical conditions from 1950 to 2012. These types of models are typically difficult to calibrate by matching to observed groundwater salinities because of spatial variability in aquifer properties that are unknown, and natural and anthropogenic processes that are complex and unknown; therefore, the primary goal was to reproduce major trends and locally generalized distributions of salinity in the Biscayne aquifer. The methods used in this study are relatively new, and results will provide transferable techniques for protecting groundwater resources and maximizing groundwater availability in coastal areas. The model was used to (1) evaluate the sensitivity of the salinity distribution in groundwater to sea-level rise and groundwater pumping, and (2) simulate the potential effects of increases in pumping, variable rates of sea-level rise, movement of a salinity control structure, and use of drainage recharge wells on the future distribution of salinity in the aquifer.
\nResults from the simulation of historical conditions indicate that the model generally represents the observed greater westward extent of elevated salinity in the central part of the intruded area relative to the northern and southernmost parts of the intruded area. Results of sensitivity testing indicate that the extent of elevated salinity is most sensitive to pumping in areas where the source of saltwater is largely offshore, from the Atlantic Ocean, and is most sensitive to sea-level rise in areas where the source of salinity is downward leakage of brackish water from canals.
\nSimulations of future scenarios indicate that increases in pumping near the existing interface may cause the interface to advance and decreases in pumping may cause it to retreat. Climatic effects, such as periods of prolonged drought or high precipitation, may augment or counteract long-term effects of changes in pumping on aquifer salinity at well fields. With increasing rates of sea-level rise, the freshwater-saltwater interface advances progressively inland, and flow-averaged salinities at well fields near the existing interface increase commensurately. Hypothetical southeastward (downstream) re-positioning of the existing G–54 salinity-control structure may prevent the interface from moving northwestward along and near the North New River canal, but beneficial effects are localized. Implementation of freshwater recharge wells in the city of Hallandale Beach may also have only a localized freshening effect in the aquifer and little appreciable effect on the freshwater-saltwater interface or on concentrations of salinity at well fields.
\nModel accuracy and use are limited by uncertainty in the physical properties and boundary conditions of the system, uncertainty in historical and future conditions, and generalizations made in the mathematical relationships used to describe the physical processes of groundwater flow and transport. Because of these limitations, model results should be considered in relative rather than absolute terms. Nonetheless, model results do provide useful information on the relative scale of response of the system to changes in pumping distribution, sea-level rise, and mitigation activities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165022","collaboration":"Prepared in cooperation with the Broward County Environmental Planning and Community Resilience Division","usgsCitation":"Hughes, J.D., Sifuentes, D.F., and White, J.T., 2016, Potential effects of alterations to the hydrologic system on the distribution of salinity in the Biscayne aquifer in Broward County, Florida: U.S. Geological Survey Scientific Investigations Report 2016–5022, 114 p., https://dx.doi.org/10.3133/sir20165022.","productDescription":"Report: x, 114 p.; Data Release","numberOfPages":"128","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056536","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":318757,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://dx.doi.org/10.5066/F7PV6HFR","text":"Data Release","linkFileType":{"id":5,"text":"html"}},{"id":318721,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5022/coverthb.jpg"},{"id":318722,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5022/sir20165022.pdf","text":"Report","size":"18.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5022"}],"country":"United States","state":"Florida","county":"Broward County","otherGeospatial":"Biscayne Aquifer","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-80.2044,26.3278],[-80.1665,26.3278],[-80.1018,26.3281],[-80.0993,26.3276],[-80.099,26.3229],[-80.0965,26.3229],[-80.0944,26.3255],[-80.0909,26.3254],[-80.088,26.3207],[-80.0825,26.3209],[-80.0746,26.321],[-80.0746,26.319],[-80.0749,26.319],[-80.0749,26.316],[-80.0751,26.316],[-80.0751,26.3149],[-80.0748,26.3149],[-80.0749,26.314],[-80.0754,26.3118],[-80.0757,26.3118],[-80.0754,26.3107],[-80.0751,26.3107],[-80.0751,26.3096],[-80.0754,26.3096],[-80.0754,26.3088],[-80.0757,26.3088],[-80.0757,26.3082],[-80.0754,26.3082],[-80.0754,26.3062],[-80.0757,26.3062],[-80.076,26.3051],[-80.0762,26.3051],[-80.0762,26.3032],[-80.0765,26.3032],[-80.0765,26.3021],[-80.0768,26.3021],[-80.0765,26.3001],[-80.0768,26.3001],[-80.0768,26.2993],[-80.0765,26.2993],[-80.0765,26.2987],[-80.0768,26.2987],[-80.0768,26.2979],[-80.0771,26.2979],[-80.0771,26.2974],[-80.0774,26.2974],[-80.0774,26.296],[-80.0771,26.296],[-80.0771,26.2926],[-80.0774,26.2926],[-80.0774,26.2915],[-80.0776,26.2915],[-80.0776,26.289],[-80.0779,26.289],[-80.0779,26.2874],[-80.0782,26.2874],[-80.0782,26.2835],[-80.0785,26.2835],[-80.0785,26.2826],[-80.0788,26.2826],[-80.0788,26.2807],[-80.0785,26.2807],[-80.0785,26.2799],[-80.0788,26.2799],[-80.0788,26.2774],[-80.079,26.2774],[-80.079,26.2765],[-80.0788,26.2765],[-80.0788,26.2754],[-80.079,26.2754],[-80.079,26.2726],[-80.0793,26.2726],[-80.0793,26.2707],[-80.0796,26.2707],[-80.0796,26.2693],[-80.0793,26.2693],[-80.0793,26.2679],[-80.0796,26.2679],[-80.0796,26.2643],[-80.0799,26.2643],[-80.0799,26.2638],[-80.0796,26.2638],[-80.0799,26.2629],[-80.0796,26.2629],[-80.0796,26.2615],[-80.0799,26.2615],[-80.0799,26.2601],[-80.0801,26.2601],[-80.0801,26.2582],[-80.0799,26.2582],[-80.0799,26.2576],[-80.0802,26.2577],[-80.0813,26.2574],[-80.0813,26.2576],[-80.0832,26.256],[-80.0835,26.256],[-80.0835,26.2549],[-80.0837,26.2549],[-80.0837,26.2543],[-80.084,26.2543],[-80.084,26.2529],[-80.0843,26.2529],[-80.0843,26.2524],[-80.084,26.2524],[-80.084,26.2515],[-80.0837,26.2515],[-80.0846,26.2493],[-80.0849,26.2493],[-80.0849,26.2485],[-80.0851,26.2485],[-80.0851,26.2465],[-80.0854,26.2465],[-80.0857,26.2457],[-80.086,26.2457],[-80.0857,26.244],[-80.086,26.244],[-80.0863,26.2429],[-80.0865,26.2429],[-80.0868,26.2424],[-80.0868,26.2404],[-80.0871,26.2404],[-80.0871,26.2396],[-80.0874,26.2396],[-80.0876,26.2376],[-80.0879,26.2376],[-80.0879,26.2368],[-80.0882,26.2368],[-80.0882,26.236],[-80.0879,26.236],[-80.0879,26.2346],[-80.0882,26.2346],[-80.0888,26.2299],[-80.089,26.2299],[-80.089,26.2271],[-80.0893,26.2271],[-80.0893,26.2262],[-80.089,26.2262],[-80.089,26.2243],[-80.0893,26.2243],[-80.0893,26.2237],[-80.089,26.2237],[-80.089,26.2232],[-80.0888,26.2232],[-80.0888,26.2218],[-80.089,26.2218],[-80.089,26.2213],[-80.0893,26.2213],[-80.0896,26.2201],[-80.0899,26.2201],[-80.0899,26.2193],[-80.0904,26.2193],[-80.0904,26.2176],[-80.0901,26.2176],[-80.0901,26.2162],[-80.0904,26.2162],[-80.0904,26.2138],[-80.0907,26.2138],[-80.0907,26.2132],[-80.091,26.2132],[-80.091,26.2124],[-80.0912,26.2124],[-80.0912,26.2115],[-80.0915,26.2115],[-80.0915,26.2104],[-80.0918,26.2104],[-80.0918,26.209],[-80.0921,26.209],[-80.0921,26.2074],[-80.0924,26.2074],[-80.0924,26.2054],[-80.0926,26.2054],[-80.0926,26.2032],[-80.0929,26.2032],[-80.0929,26.2015],[-80.0932,26.2015],[-80.0932,26.2004],[-80.0935,26.2004],[-80.0935,26.1982],[-80.0937,26.1982],[-80.0937,26.1965],[-80.0935,26.1965],[-80.0935,26.1954],[-80.0937,26.1954],[-80.0937,26.1949],[-80.094,26.1949],[-80.094,26.1943],[-80.0943,26.1943],[-80.0943,26.1935],[-80.0946,26.1935],[-80.0949,26.1921],[-80.0946,26.1921],[-80.0946,26.1899],[-80.0943,26.1899],[-80.0943,26.1885],[-80.0946,26.1885],[-80.0946,26.1871],[-80.0949,26.1871],[-80.0949,26.1863],[-80.0951,26.1863],[-80.0951,26.1846],[-80.0954,26.1846],[-80.0954,26.184],[-80.0957,26.184],[-80.0957,26.1829],[-80.0954,26.1829],[-80.0954,26.1824],[-80.0951,26.1824],[-80.0951,26.1815],[-80.0954,26.1815],[-80.0954,26.181],[-80.0951,26.181],[-80.0951,26.1804],[-80.0954,26.1804],[-80.0954,26.1796],[-80.0957,26.1796],[-80.096,26.1785],[-80.0963,26.1785],[-80.0963,26.1768],[-80.096,26.1768],[-80.0963,26.176],[-80.0965,26.176],[-80.0965,26.174],[-80.0963,26.174],[-80.0963,26.1718],[-80.0965,26.1718],[-80.0971,26.1688],[-80.0974,26.1688],[-80.0979,26.1685],[-80.0979,26.1665],[-80.0976,26.1665],[-80.0976,26.1657],[-80.0979,26.1657],[-80.0979,26.164],[-80.0982,26.164],[-80.0982,26.1632],[-80.0985,26.1632],[-80.0985,26.1624],[-80.0987,26.1624],[-80.0987,26.1615],[-80.0985,26.1615],[-80.0985,26.1604],[-80.0987,26.1604],[-80.0987,26.1596],[-80.0985,26.1596],[-80.099,26.1576],[-80.0993,26.1576],[-80.0993,26.1565],[-80.0996,26.1565],[-80.0993,26.1557],[-80.0996,26.1557],[-80.0993,26.1549],[-80.0996,26.1549],[-80.0996,26.1543],[-80.0999,26.1543],[-80.1001,26.1521],[-80.1004,26.1521],[-80.1004,26.1513],[-80.1007,26.1513],[-80.1007,26.1493],[-80.101,26.1493],[-80.101,26.1457],[-80.1012,26.1457],[-80.1012,26.1451],[-80.1015,26.1451],[-80.1015,26.1443],[-80.1018,26.1443],[-80.1018,26.1429],[-80.1021,26.1429],[-80.1021,26.1396],[-80.1024,26.1396],[-80.1024,26.1388],[-80.1021,26.1388],[-80.1021,26.1376],[-80.1024,26.1376],[-80.1024,26.1365],[-80.1026,26.1365],[-80.1026,26.1321],[-80.1029,26.1321],[-80.1029,26.1315],[-80.1032,26.1315],[-80.1032,26.1307],[-80.1029,26.1307],[-80.1029,26.1276],[-80.1032,26.1276],[-80.1032,26.1265],[-80.1029,26.1265],[-80.1029,26.1257],[-80.1026,26.1257],[-80.1029,26.1249],[-80.1032,26.1249],[-80.1032,26.1238],[-80.1035,26.1238],[-80.1035,26.1218],[-80.1038,26.1218],[-80.1038,26.1207],[-80.104,26.1207],[-80.104,26.1193],[-80.1038,26.1193],[-80.1038,26.1179],[-80.104,26.1179],[-80.104,26.1165],[-80.1043,26.1165],[-80.1043,26.1151],[-80.104,26.1151],[-80.104,26.1146],[-80.1043,26.1146],[-80.1043,26.111],[-80.1046,26.111],[-80.1046,26.1104],[-80.1049,26.1104],[-80.1049,26.1085],[-80.1046,26.1085],[-80.1046,26.1063],[-80.1049,26.1063],[-80.1049,26.1057],[-80.1046,26.1057],[-80.1046,26.104],[-80.1049,26.104],[-80.1049,26.1021],[-80.1051,26.1021],[-80.1051,26.101],[-80.105,26.101],[-80.1046,26.1001],[-80.1054,26.0996],[-80.1054,26.0994],[-80.106,26.0976],[-80.1049,26.0954],[-80.1066,26.0954],[-80.1071,26.0951],[-80.1076,26.0951],[-80.1085,26.0946],[-80.1085,26.0943],[-80.1104,26.0943],[-80.1104,26.0946],[-80.1124,26.0946],[-80.1124,26.0949],[-80.1132,26.0946],[-80.1132,26.0949],[-80.1146,26.0946],[-80.1146,26.0943],[-80.1151,26.0943],[-80.1151,26.0946],[-80.116,26.0943],[-80.116,26.094],[-80.1162,26.096],[-80.1165,26.096],[-80.1165,26.0968],[-80.1168,26.0968],[-80.1168,26.0974],[-80.1171,26.0974],[-80.1171,26.0979],[-80.1174,26.0979],[-80.1174,26.0987],[-80.1176,26.0987],[-80.1176,26.0993],[-80.1179,26.0993],[-80.1188,26.0999],[-80.1188,26.099],[-80.1196,26.099],[-80.1196,26.0987],[-80.1199,26.0976],[-80.1196,26.0976],[-80.1193,26.0968],[-80.1196,26.0968],[-80.1196,26.0954],[-80.1193,26.0954],[-80.1193,26.0946],[-80.1196,26.0946],[-80.1196,26.0935],[-80.1199,26.0935],[-80.1199,26.0921],[-80.1196,26.0921],[-80.1193,26.0912],[-80.119,26.0912],[-80.1174,26.091],[-80.1174,26.0904],[-80.1171,26.0904],[-80.1157,26.0899],[-80.1157,26.0896],[-80.1151,26.0896],[-80.1151,26.0893],[-80.1146,26.0893],[-80.1146,26.089],[-80.1143,26.0885],[-80.114,26.0885],[-80.1141,26.0879],[-80.1137,26.0879],[-80.1137,26.0876],[-80.1141,26.0876],[-80.114,26.0871],[-80.1137,26.0871],[-80.1135,26.0863],[-80.1137,26.0863],[-80.1137,26.0854],[-80.1135,26.0854],[-80.1137,26.0829],[-80.1143,26.0829],[-80.1143,26.0821],[-80.1146,26.0821],[-80.1146,26.081],[-80.1137,26.081],[-80.1137,26.0807],[-80.1132,26.0807],[-80.1132,26.0821],[-80.1129,26.0821],[-80.1126,26.0835],[-80.1124,26.0835],[-80.1124,26.0876],[-80.1121,26.0876],[-80.1121,26.0882],[-80.1124,26.0882],[-80.1129,26.0885],[-80.1129,26.0893],[-80.1126,26.0893],[-80.1126,26.0901],[-80.1124,26.0901],[-80.1121,26.091],[-80.1121,26.0921],[-80.1118,26.0921],[-80.1101,26.0924],[-80.1101,26.0926],[-80.1079,26.0926],[-80.1079,26.0924],[-80.1076,26.0918],[-80.1079,26.0918],[-80.1079,26.091],[-80.1082,26.091],[-80.1082,26.0904],[-80.1085,26.0904],[-80.1085,26.0899],[-80.1087,26.0899],[-80.1087,26.0893],[-80.109,26.0893],[-80.109,26.0885],[-80.1087,26.0885],[-80.109,26.0874],[-80.1093,26.0874],[-80.1093,26.0843],[-80.109,26.0843],[-80.1087,26.0832],[-80.1093,26.0832],[-80.1093,26.0829],[-80.1099,26.0829],[-80.1099,26.0824],[-80.1096,26.0824],[-80.1093,26.0801],[-80.109,26.0801],[-80.109,26.079],[-80.1087,26.079],[-80.109,26.0782],[-80.1093,26.0782],[-80.1093,26.0776],[-80.1096,26.0776],[-80.1093,26.0763],[-80.109,26.0763],[-80.1093,26.0754],[-80.1096,26.0754],[-80.1096,26.0746],[-80.1099,26.0746],[-80.1099,26.0735],[-80.1101,26.0735],[-80.1101,26.0726],[-80.1104,26.0726],[-80.1104,26.0713],[-80.1101,26.0713],[-80.1104,26.0693],[-80.1107,26.0693],[-80.1107,26.0671],[-80.111,26.0671],[-80.1113,26.0662],[-80.111,26.0662],[-80.111,26.0649],[-80.1113,26.0649],[-80.1113,26.064],[-80.111,26.064],[-80.111,26.0624],[-80.1113,26.0624],[-80.1113,26.0604],[-80.1115,26.0604],[-80.1115,26.0585],[-80.1113,26.0585],[-80.1113,26.0576],[-80.1115,26.0576],[-80.1115,26.0568],[-80.1118,26.0568],[-80.1115,26.0551],[-80.1113,26.0551],[-80.1115,26.0543],[-80.1118,26.0543],[-80.1118,26.0532],[-80.1115,26.0532],[-80.1115,26.0524],[-80.1113,26.0524],[-80.1115,26.0504],[-80.1118,26.0504],[-80.1121,26.0474],[-80.1124,26.0474],[-80.1124,26.0468],[-80.1126,26.0468],[-80.1126,26.0457],[-80.1129,26.0457],[-80.1129,26.0415],[-80.1132,26.0415],[-80.1132,26.0374],[-80.1135,26.0374],[-80.1135,26.0365],[-80.1137,26.0365],[-80.1137,26.0324],[-80.114,26.0324],[-80.114,26.0299],[-80.1143,26.0299],[-80.114,26.0271],[-80.1143,26.0271],[-80.1143,26.0226],[-80.1146,26.0226],[-80.1146,26.0215],[-80.1149,26.0215],[-80.1146,26.0165],[-80.1149,26.0165],[-80.1149,26.0135],[-80.1151,26.0135],[-80.1151,26.0099],[-80.1154,26.0099],[-80.1154,26.009],[-80.1151,26.009],[-80.1151,26.0074],[-80.1154,26.0074],[-80.1154,26.0057],[-80.1157,26.0057],[-80.1157,26.0007],[-80.116,26.0007],[-80.116,25.9993],[-80.116,25.9982],[-80.1157,25.9982],[-80.1157,25.9971],[-80.1154,25.9971],[-80.1154,25.9957],[-80.116,25.9957],[-80.116,25.9954],[-80.1162,25.9949],[-80.1165,25.9949],[-80.1171,25.9937],[-80.1168,25.9937],[-80.1165,25.9915],[-80.1171,25.9915],[-80.1171,25.991],[-80.1162,25.991],[-80.1162,25.9907],[-80.1171,25.9899],[-80.1171,25.9885],[-80.1174,25.9885],[-80.1174,25.986],[-80.1179,25.986],[-80.1179,25.9857],[-80.1182,25.9846],[-80.1179,25.9846],[-80.1179,25.984],[-80.1176,25.984],[-80.1176,25.9824],[-80.1179,25.9824],[-80.1179,25.9782],[-80.1182,25.9782],[-80.1182,25.9768],[-80.1185,25.9768],[-80.1182,25.9749],[-80.1188,25.9749],[-80.1655,25.9736],[-80.2059,25.9728],[-80.253,25.9717],[-80.2953,25.9709],[-80.2956,25.9645],[-80.2955,25.9567],[-80.3759,25.9576],[-80.4997,25.9563],[-80.5001,25.9573],[-80.5147,25.9573],[-80.6802,25.9573],[-80.6801,25.9646],[-80.6798,25.9789],[-80.7392,25.9791],[-80.7769,25.9793],[-80.8261,25.9795],[-80.8357,25.9793],[-80.873,25.9795],[-80.8738,26.0047],[-80.8753,26.0551],[-80.8755,26.0674],[-80.8759,26.1073],[-80.8769,26.1239],[-80.8796,26.1727],[-80.88,26.2593],[-80.8801,26.2593],[-80.8812,26.3272],[-80.8814,26.3342],[-80.7835,26.3344],[-80.3748,26.3348],[-80.2293,26.3352],[-80.2044,26.3278]]],[[[-79.7226,26.2313],[-79.7226,26.2304],[-79.7229,26.2304],[-79.7229,26.2299],[-79.7232,26.2299],[-79.7232,26.2296],[-79.7237,26.2296],[-79.7237,26.2282],[-79.7243,26.2282],[-79.7243,26.2279],[-79.7251,26.2279],[-79.7251,26.2288],[-79.7257,26.2288],[-79.7257,26.2285],[-79.7262,26.2285],[-79.7262,26.2282],[-79.7265,26.2282],[-79.7265,26.2279],[-79.7268,26.2279],[-79.7268,26.2276],[-79.7282,26.2276],[-79.7282,26.2279],[-79.7285,26.2279],[-79.7285,26.2285],[-79.7282,26.2285],[-79.7282,26.229],[-79.7276,26.229],[-79.7276,26.2288],[-79.7271,26.2288],[-79.7271,26.229],[-79.7265,26.229],[-79.7265,26.2293],[-79.7249,26.2293],[-79.7249,26.2296],[-79.7246,26.2296],[-79.7246,26.2307],[-79.7249,26.2307],[-79.7249,26.2313],[-79.7226,26.2313]]],[[[-80.1015,26.0943],[-80.1015,26.094],[-80.1012,26.094],[-80.1012,26.0938],[-80.1004,26.0938],[-80.1004,26.0935],[-80.1007,26.0935],[-80.1007,26.0932],[-80.1015,26.0932],[-80.1015,26.0929],[-80.1018,26.0929],[-80.1018,26.0926],[-80.1021,26.0926],[-80.1021,26.0924],[-80.1035,26.0924],[-80.1035,26.0929],[-80.1038,26.0929],[-80.1038,26.0932],[-80.1035,26.0932],[-80.1035,26.0938],[-80.1029,26.0938],[-80.1029,26.094],[-80.1024,26.094],[-80.1024,26.0943],[-80.1015,26.0943]]],[[[-79.9999,25.9999],[-80.0001,25.9999],[-80.0001,26.0001],[-79.9999,26.0001],[-79.9999,25.9999]]]]},\"properties\":{\"name\":\"Broward\",\"state\":\"FL\"}}]}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
http://fl.water.usgs.gov/
The U.S. Geological Survey (USGS) collected data and simulated groundwater flow to increase understanding of the hydrology and the effects of drainage alterations on the water table in the vicinity of Great Marsh, near Beverly Shores and Town of Pines, Indiana. Prior land-management practices have modified drainage and caused changes in the distribution of open water, streams and ditches, and groundwater abundance and flow paths.
\nCollected hydrologic data indicate that the majority of water entering Great Marsh flows from the southern dune ridge beneath Town of Pines, Indiana. Groundwater flow is intercepted by Brown Ditch in the eastern portion of the study area and Derby Ditch in the western portion of the study area. A smaller amount of groundwater from the northern dune ridge beneath Beverly Shores also contributed water to Great Marsh. Continuous groundwater-level data collected indicate that the predominant north-south groundwater-flow gradients vary during the course of the year due to increased levels of precipitation or during periods of drainage obstructions. Continuous surface-water discharge and surface-water elevation were measured at three USGS streamgages, one each on Brown, Kintzele and Derby Ditches. The monthly mean discharge statistics indicate that during the period of record— June 2012 to September 2013—streamflow in Kintzele Ditch was lowest during July 2012 and highest during April 2013. In Derby Ditch, streamflow also was lowest during July 2012 and highest during April 2013.
\nPeriods of relatively high and low groundwater levels during August 1982, March 2013, and April 2014 were examined and simulated by using MODFLOW and companion software. Results from the simulation of conditions during March 2013 include that nearly 100 percent of all water entering the area simulating Town of Pines is from recharge. Of all the water simulated to enter the eastern and western portions of Great Marsh, nearly 20 and 18 percent, respectively, flows from Town of Pines to the western and eastern portions of Great Marsh. The dune ridges beneath Town of Pines and to a lesser extent beneath Beverly Shores are a major source of recharge to the surficial aquifer and Great Marsh.
\nResults from the simulation of the conditions of April 2014 include that, despite increases in the amount of water entering Great Marsh due to a beaver-dam-modified hydrologic condition, there is still virtually zero simulated groundwater flow from Great Marsh to Town of Pines. The volume of water simulated to be entering the zone representing Beverly Shores decreased by 0.43 cubic foot per second from the results of the March 2013 simulation. This simulated difference in water budgets can be attributed to increased simulated recharge in Great Marsh and Town of Pines. Effects of the inclusion of the beaver dam included the increase of the simulated water table and simulated inundated area upstream of the beaver dam due to the effects of ponding surface water.
\nResults from the simulation scenario that includes six proposed pool-riffle control structures in Brown Ditch under the hydrologic conditions of March 2013 indicate areas inundated by water are larger, including areas just to the north of the entrance of Brown Ditch into Great Marsh, and areas north of the confluence of Brown and Kintzele Ditches.
\nResults from the scenario simulating the increase of the Lake Michigan water level to the historical high of May 31, 1998, showed inundated areas of Great Marsh south of Beverly Shores enlarged on both sides of Lakeshore County Road with the greatest enlargement simulated to be southeast of the intersection of Lakeshore County Road and Beverly Drive. For the scenario simulating the decrease of the Lake Michigan water level to the historical low of December 23, 2007, results show little change from the original March 2013 inundated area.
\nThe results of this study can be used by water-resource managers to understand how surrounding ditches affect water levels in Great Marsh and other inland wetlands and residential areas. The groundwater model developed can be applied to answer questions about how alterations to the drainage system in the area affects water levels in the public and residential areas surrounding Great Marsh. The modeling methods developed in this study provide a template for other studies of groundwater flow and groundwater/surface-water interactions within the shallow surficial aquifer in northern Indiana, and in similar hydrologic settings that include surficial sand aquifers in coastal areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155141","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Lampe, D.C., 2015, Hydrologic data and groundwater-flow simulations in the Brown Ditch Watershed, Indiana Dunes National Lakeshore, near Beverly Shores and Town of Pines, Indiana: U.S. Geological Survey Scientific Investigations Report 2015– 5141, 97 p., https://dx.doi.org/10.3133/sir20155141.","productDescription":"xi, 97 p.","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055857","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":318807,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5141/coverthb.jpg"},{"id":318808,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5141/sir20155141.pdf","text":"Report","size":"34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5141"}],"country":"United States","state":"Indiana","otherGeospatial":"Brown Ditch Watershed, Indiana Dunes National Lakeshore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.1,\n 41.65\n ],\n [\n -87.1,\n 41.73\n ],\n [\n -86.9,\n 41.73\n ],\n [\n -86.9,\n 41.65\n ],\n [\n -87.1,\n 41.65\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd
Indianapolis, IN 46278
Phone: (317) 290-3333
http://in.water.usgs.gov/
This study examines the evolution of several model-based and satellite-derived drought metrics sensitive to soil moisture and vegetation conditions during the extreme flash drought event that impacted major agricultural areas across the central U.S. during 2012. Standardized anomalies from the remote sensing based Evaporative Stress Index (ESI) and Vegetation Drought Response Index (VegDRI) and soil moisture anomalies from the North American Land Data Assimilation System (NLDAS) are compared to the United States Drought Monitor (USDM), surface meteorological conditions, and crop and soil moisture data compiled by the National Agricultural Statistics Service (NASS).
Overall, the results show that rapid decreases in the ESI and NLDAS anomalies often preceded drought intensification in the USDM by up to 6 wk depending on the region. Decreases in the ESI tended to occur up to several weeks before deteriorations were observed in the crop condition datasets. The NLDAS soil moisture anomalies were similar to those depicted in the NASS soil moisture datasets; however, some differences were noted in how each model responded to the changing drought conditions. The VegDRI anomalies tracked the evolution of the USDM drought depiction in regions with slow drought development, but lagged the USDM and other drought indicators when conditions were changing rapidly. Comparison to the crop condition datasets revealed that soybean conditions were most similar to ESI anomalies computed over short time periods (2–4 wk), whereas corn conditions were more closely related to longer-range (8–12 wk) ESI anomalies. Crop yield departures were consistent with the drought severity depicted by the ESI and to a lesser extent by the NLDAS and VegDRI datasets.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2015.12.065","usgsCitation":"Otkin, J.A., Anderson, M.C., Hain, C., Svoboda, M., Johnson, D., Mueller, R., Tadesse, T., Wardlow, B.D., and Brown, J.F., 2016, Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought: Agricultural and Forest Meteorology, v. 218-219, p. 230-242, https://doi.org/10.1016/j.agrformet.2015.12.065.","productDescription":"13 p.","startPage":"230","endPage":"242","ipdsId":"IP-071141","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2015.12.065","text":"Publisher Index Page"},{"id":342143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.867044,36.550754],[-75.536428,35.780118],[-75.723662,36.003139],[-75.85147,36.415785],[-76.019261,36.503506],[-75.793974,36.07171],[-75.922344,36.244122],[-75.904999,36.164188],[-76.184702,36.298166],[-76.064224,36.143775],[-76.447812,36.192514],[-76.298733,36.1012],[-76.514335,36.00564],[-76.676484,36.043612],[-76.693253,36.278357],[-76.7521,36.147328],[-76.667547,35.933509],[-76.024162,35.970891],[-76.04015,35.65131],[-75.947293,35.959835],[-75.80935,35.959308],[-75.71294,35.69849],[-75.775328,35.579335],[-75.895045,35.573152],[-76.149655,35.326411],[-76.485762,35.371375],[-76.586349,35.508957],[-76.471207,35.55742],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.467776,35.276951],[-76.60042,35.067867],[-76.801426,34.964369],[-76.982904,35.060607],[-76.762931,34.920374],[-76.463468,35.076411],[-76.395625,34.975179],[-76.288354,35.005726],[-76.524712,34.681964],[-76.604796,34.787482],[-76.673619,34.71491],[-76.523303,34.652271],[-76.038648,35.065045],[-76.535946,34.588577],[-76.726969,34.69669],[-77.169701,34.622023],[-77.740136,34.272546],[-77.970606,33.844517],[-78.276147,33.912364],[-78.772737,33.768511],[-79.084588,33.483669],[-79.18787,33.173712],[-79.359961,33.006672],[-79.55756,33.021269],[-79.576006,32.906235],[-79.999374,32.611851],[-80.472068,32.496964],[-80.455192,32.326458],[-80.858735,32.099581],[-80.862814,31.969346],[-81.203572,31.719448],[-81.133493,31.623348],[-81.260076,31.54828],[-81.177254,31.517074],[-81.288403,31.211065],[-81.493651,30.977528],[-81.403409,30.957914],[-81.447087,30.503679],[-81.163581,29.55529],[-80.525094,28.459454],[-80.606874,28.336484],[-80.566432,28.09563],[-80.031362,26.796339],[-80.127987,25.772245],[-80.154972,25.66549],[-80.197674,25.74437],[-80.296719,25.622195],[-80.31036,25.3731],[-80.418872,25.235532],[-81.079859,25.118797],[-81.352731,25.822015],[-81.527665,25.901531],[-81.68954,25.85271],[-81.868983,26.378648],[-82.105672,26.48393],[-82.181565,26.681712],[-82.093023,26.665614],[-82.063126,26.950214],[-82.175241,26.916867],[-82.147068,26.789803],[-82.259867,26.717398],[-82.745748,27.538834],[-82.65072,27.523115],[-82.393383,27.837519],[-82.478063,27.92768],[-82.47244,27.822559],[-82.553946,27.848462],[-82.553918,27.966998],[-82.678606,27.993715],[-82.720395,27.937199],[-82.566819,27.858002],[-82.733076,27.612972],[-82.846526,27.854301],[-82.654138,28.590837],[-82.804736,29.146624],[-83.053207,29.130839],[-83.686423,29.923735],[-84.000716,30.096209],[-84.256439,30.103791],[-84.358923,30.058224],[-84.349066,29.896812],[-85.344768,29.654793],[-85.413575,29.85294],[-85.353885,29.684765],[-85.302591,29.808094],[-85.405052,29.938487],[-86.2987,30.363049],[-86.750906,30.391881],[-88.028401,30.221132],[-87.755263,30.277292],[-88.008396,30.684956],[-88.136173,30.320729],[-88.841328,30.409598],[-89.291444,30.303296],[-89.335942,30.374016],[-89.461275,30.174745],[-89.857558,30.004439],[-89.660568,29.862909],[-89.481926,30.079128],[-89.372375,30.054729],[-89.433411,29.991205],[-89.368019,29.911491],[-89.218071,29.97275],[-89.322289,29.887333],[-89.236298,29.877081],[-89.383789,29.838928],[-89.271034,29.756355],[-89.651237,29.749479],[-89.485367,29.624357],[-89.688141,29.615055],[-89.700501,29.515967],[-89.508551,29.386168],[-89.189354,29.345061],[-89.000674,29.180091],[-89.41148,28.925011],[-89.354798,29.072543],[-89.482844,29.215053],[-89.850305,29.311768],[-89.849642,29.477996],[-90.01251,29.462775],[-90.009678,29.294785],[-90.096038,29.240673],[-89.949925,29.263154],[-90.174273,29.105301],[-90.348768,29.057817],[-90.234235,29.110268],[-90.271251,29.204639],[-90.332796,29.276956],[-90.472489,29.192688],[-90.510555,29.290925],[-90.803699,29.063709],[-90.637495,29.066608],[-90.839345,29.039167],[-90.961278,29.180817],[-91.278792,29.247776],[-91.33275,29.305816],[-91.221166,29.436421],[-91.531021,29.531543],[-91.553537,29.632766],[-91.648941,29.633635],[-91.632829,29.742576],[-91.88075,29.710839],[-91.889118,29.836023],[-92.149349,29.697052],[-91.712002,29.56474],[-91.782387,29.482882],[-92.046316,29.584362],[-92.61627,29.578729],[-93.267456,29.778113],[-94.056506,29.671163],[-94.778691,29.361483],[-94.495025,29.525031],[-94.779674,29.530533],[-94.735271,29.785433],[-94.893107,29.661336],[-94.965963,29.70033],[-95.018253,29.554885],[-94.909898,29.49691],[-94.893994,29.30817],[-95.16525,29.113566],[-94.72253,29.331446],[-95.38239,28.866348],[-96.378616,28.383909],[-95.978526,28.650594],[-96.228909,28.580873],[-96.222802,28.698431],[-96.487943,28.569677],[-96.648758,28.709627],[-96.403973,28.44245],[-96.672677,28.335579],[-96.775985,28.405809],[-96.800413,28.224128],[-96.934765,28.123873],[-97.037008,28.185528],[-97.214039,28.087494],[-97.022806,28.107588],[-97.186709,27.825453],[-97.379042,27.837867],[-97.253955,27.696696],[-97.401942,27.335574],[-97.532223,27.278577],[-97.501688,27.366618],[-97.639094,27.253131],[-97.42408,27.264073],[-97.563266,26.842188],[-97.295072,26.108342],[-97.216954,25.993838],[-97.152009,26.062108],[-97.145567,25.971132],[-97.422636,25.840378],[-97.649176,26.021499],[-98.197046,26.056153],[-98.807348,26.369421],[-99.085126,26.398782],[-99.268613,26.843213],[-99.446524,27.023008],[-99.512219,27.568094],[-99.841708,27.766464],[-99.931812,27.980967],[-100.293468,28.278475],[-100.333814,28.499252],[-100.797671,29.246943],[-101.254895,29.520342],[-101.415402,29.756561],[-102.315389,29.87992],[-102.386678,29.76688],[-102.670971,29.741954],[-102.866846,29.225015],[-103.115328,28.98527],[-103.28119,28.982138],[-104.507568,29.639624],[-104.924796,30.604832],[-106.207837,31.468188],[-106.451541,31.764808],[-108.208394,31.783599],[-108.208573,31.333395],[-111.074825,31.332239],[-114.813613,32.494277],[-114.719633,32.718763],[-117.124862,32.534156],[-117.469794,33.296417],[-118.132698,33.753217],[-118.411211,33.741985],[-118.519514,34.027509],[-119.130169,34.100102],[-119.559459,34.413395],[-120.471376,34.447846],[-120.637805,34.56622],[-120.644311,35.139616],[-120.856047,35.206487],[-120.884757,35.430196],[-121.284973,35.674109],[-121.503112,36.000299],[-121.888491,36.30281],[-121.978592,36.580488],[-121.814462,36.682858],[-121.862266,36.931552],[-122.105976,36.955951],[-122.405073,37.195791],[-122.514483,37.780829],[-122.398139,37.80563],[-122.378545,37.605592],[-122.111344,37.50758],[-122.430087,37.963115],[-122.273006,38.07438],[-122.489974,38.112014],[-122.438268,37.880974],[-122.505383,37.822128],[-122.882114,38.025273],[-123.024066,37.994878],[-122.977082,38.267902],[-123.725367,38.917438],[-123.851714,39.832041],[-124.363414,40.260974],[-124.408601,40.443201],[-124.137066,40.925732],[-124.063076,41.439579],[-124.147412,41.717955],[-124.255994,41.783014],[-124.214213,42.005939],[-124.410982,42.250547],[-124.401177,42.627192],[-124.552441,42.840568],[-124.233534,43.55713],[-124.067569,44.428582],[-123.927891,46.009564],[-124.024305,46.229256],[-123.854801,46.157342],[-123.547636,46.265595],[-124.080671,46.267239],[-124.068655,46.634879],[-124.026032,46.462978],[-123.943667,46.477197],[-123.960642,46.636364],[-123.84621,46.716795],[-124.092176,46.741624],[-124.138225,46.905534],[-123.86018,46.948556],[-124.122057,47.04165],[-124.180111,46.926357],[-124.425195,47.738434],[-124.672427,47.964414],[-124.733174,48.163393],[-124.65894,48.331057],[-124.731828,48.381157],[-123.981032,48.164761],[-123.332699,48.11297],[-123.133445,48.177276],[-122.877641,48.047025],[-122.833173,48.134406],[-122.760448,48.14324],[-122.766648,48.04429],[-122.68724,48.101662],[-122.718082,47.987739],[-122.610341,47.887343],[-122.811929,47.679861],[-122.820178,47.835904],[-123.15598,47.355745],[-122.549072,47.919072],[-122.470333,47.757109],[-122.554454,47.745704],[-122.479089,47.583654],[-122.547521,47.285344],[-122.611464,47.2181],[-122.697378,47.283969],[-122.632463,47.376394],[-122.725738,47.33047],[-122.641802,47.205013],[-122.711997,47.127681],[-122.832799,47.243412],[-122.803688,47.355071],[-122.863732,47.270221],[-122.858735,47.167955],[-122.67813,47.103866],[-122.547747,47.316403],[-122.4442,47.266723],[-122.324833,47.348521],[-122.421139,47.57602],[-122.339513,47.599113],[-122.429841,47.658919],[-122.224979,48.016626],[-122.395499,48.228551],[-122.479008,48.175703],[-122.358375,48.056133],[-122.512031,48.133931],[-122.530996,48.249821],[-122.371693,48.287839],[-122.712322,48.464143],[-122.471832,48.470724],[-122.534719,48.574246],[-122.425271,48.599522],[-122.535803,48.776128],[-122.673472,48.733082],[-122.821631,48.941369],[-122.75802,49.002357],[-95.153711,48.998903],[-95.15335,49.383079],[-94.957465,49.370186],[-94.816222,49.320987],[-94.645083,48.744143],[-93.840754,48.628548],[-93.794454,48.516021],[-92.954876,48.631493],[-92.634931,48.542873],[-92.712562,48.463013],[-92.456325,48.414204],[-92.369174,48.220268],[-92.26228,48.354933],[-92.055228,48.359213],[-91.567254,48.043719],[-90.88548,48.245784],[-90.751608,48.090968],[-89.489226,48.014528],[-90.86827,47.5569],[-92.094089,46.787839],[-91.961889,46.682539],[-90.855874,46.962232],[-90.750952,46.890293],[-90.951476,46.597033],[-90.73726,46.692267],[-90.436512,46.561748],[-88.972802,47.002096],[-88.418841,47.371058],[-87.929672,47.478743],[-87.710471,47.4062],[-87.957058,47.38726],[-88.227552,47.199938],[-88.443901,46.972251],[-88.462349,46.786711],[-88.142807,46.966302],[-88.175197,46.90458],[-87.681561,46.842392],[-87.352448,46.501324],[-87.008724,46.532723],[-86.850111,46.434114],[-86.698139,46.438624],[-86.678182,46.561039],[-86.586168,46.463324],[-86.161681,46.669475],[-84.989497,46.772403],[-85.015211,46.479712],[-84.551496,46.418522],[-84.128925,46.530119],[-84.097766,46.256512],[-84.251424,46.175888],[-83.873147,45.993426],[-83.765277,46.018363],[-83.815826,46.108529],[-83.581315,46.089613],[-83.510623,45.929324],[-84.376429,45.931962],[-84.656567,46.052654],[-84.746985,45.835597],[-85.01399,46.010774],[-85.499422,46.09692],[-85.697203,45.960158],[-86.278007,45.942057],[-86.616893,45.606796],[-86.718191,45.67732],[-86.541464,45.890234],[-86.78208,45.860195],[-86.964275,45.672761],[-87.031435,45.837238],[-87.600796,45.146842],[-87.630298,44.976865],[-87.837647,44.933091],[-88.005518,44.539216],[-87.756048,44.649117],[-87.609784,44.838514],[-87.384821,44.865532],[-87.238426,45.166492],[-86.970355,45.278455],[-87.467089,44.553557],[-87.512903,44.192808],[-87.735436,43.882219],[-87.702685,43.687596],[-87.911787,43.250406],[-87.766675,42.784896],[-87.828569,42.269922],[-87.42344,41.642835],[-87.066033,41.661845],[-86.616978,41.896625],[-86.297168,42.358207],[-86.208654,42.69209],[-86.254646,43.083409],[-86.540916,43.633158],[-86.43114,43.815569],[-86.514704,44.057672],[-86.26871,44.345324],[-86.254996,44.691935],[-85.551072,45.210742],[-85.652355,44.849092],[-85.593833,44.768651],[-85.475204,44.991053],[-85.576566,44.760208],[-85.3958,44.931018],[-85.371593,45.270834],[-84.91585,45.393115],[-85.115479,45.539406],[-84.942636,45.714292],[-85.014509,45.760329],[-84.726192,45.786905],[-84.215268,45.634767],[-84.095905,45.497298],[-83.488826,45.355872],[-83.265896,45.026844],[-83.454168,45.03188],[-83.274747,44.714893],[-83.332533,44.340464],[-83.53771,44.248171],[-83.58409,44.056748],[-83.877047,43.959351],[-83.909479,43.672622],[-83.666052,43.591292],[-83.26153,43.973525],[-82.967439,44.066138],[-82.746255,43.996037],[-82.643166,43.852468],[-82.412965,42.977041],[-82.518782,42.613888],[-82.686417,42.518597],[-82.630851,42.673341],[-82.813518,42.640833],[-82.894013,42.389437],[-83.096521,42.290138],[-83.133511,42.088143],[-83.455626,41.727445],[-82.934369,41.514353],[-82.834101,41.587587],[-82.499099,41.381541],[-82.011966,41.515639],[-81.738755,41.48855],[-81.288892,41.758945],[-80.329976,42.036168],[-79.148723,42.553672],[-78.851355,42.791758],[-79.074467,43.077855],[-79.070469,43.262454],[-78.370221,43.376505],[-77.760231,43.341161],[-77.551022,43.235763],[-76.958402,43.270005],[-76.235834,43.529256],[-76.28272,43.858601],[-76.125023,43.912773],[-76.360306,44.070907],[-76.312647,44.199044],[-74.992756,44.977449],[-71.502487,45.013367],[-71.443882,45.235462],[-71.296509,45.29919],[-71.13943,45.242958],[-71.01081,45.34725],[-70.857042,45.22916],[-70.795009,45.428145],[-70.634661,45.383608],[-70.688214,45.563981],[-70.259117,45.890755],[-70.292736,46.191599],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.043947,47.427634],[-69.050334,47.256621],[-68.902425,47.178839],[-68.329879,47.36023],[-67.955669,47.199542],[-67.789461,47.062544],[-67.750422,45.917898],[-67.817892,45.693705],[-67.429716,45.583773],[-67.489464,45.282653],[-67.345585,45.126392],[-67.157919,45.161004],[-66.950569,44.814539],[-67.293403,44.599265],[-67.308538,44.707454],[-67.405492,44.594236],[-67.551133,44.621938],[-67.568159,44.531117],[-67.839896,44.558771],[-67.855108,44.419434],[-68.049334,44.33073],[-68.117746,44.475038],[-68.261708,44.484062],[-68.173608,44.328397],[-68.317588,44.225101],[-68.430946,44.298624],[-68.3791,44.430049],[-68.565161,44.39907],[-68.525302,44.227554],[-68.827197,44.31216],[-68.783679,44.473879],[-68.927452,44.448039],[-69.100863,44.104529],[-69.031878,44.079036],[-69.214205,43.935583],[-69.398455,43.971804],[-69.838689,43.70514],[-69.884066,43.778035],[-70.041351,43.738053],[-70.009869,43.859315],[-70.190014,43.771866],[-70.196911,43.565146],[-70.361214,43.52919],[-70.810069,42.909549],[-70.778671,42.693622],[-70.594014,42.63503],[-70.871382,42.546404],[-71.01568,42.326019],[-70.722269,42.207959],[-70.63848,42.081579],[-70.710034,41.999544],[-70.552941,41.929641],[-70.471552,41.761563],[-70.024734,41.787364],[-70.095595,42.032832],[-70.245385,42.063733],[-70.058531,42.040363],[-69.935952,41.809422],[-69.998071,41.54365],[-70.007011,41.671579],[-70.351634,41.634687],[-70.948431,41.409193],[-70.658659,41.543385],[-70.623652,41.707398],[-70.718739,41.73574],[-71.19302,41.457931],[-71.240709,41.619225],[-71.24071,41.474872],[-71.337695,41.448902],[-71.19564,41.67509],[-71.350057,41.727835],[-71.449318,41.687401],[-71.483295,41.371722],[-72.916827,41.282033],[-73.643478,41.002171],[-73.781369,40.794907],[-73.485365,40.946397],[-72.585327,40.997587],[-72.278789,41.158722],[-72.317238,41.088659],[-72.10216,40.991509],[-71.856214,41.070598],[-73.23914,40.6251],[-73.934512,40.545175],[-74.024543,40.709436],[-74.186027,40.646076],[-74.261889,40.464706],[-73.978282,40.440208],[-74.096906,39.76303],[-74.864458,38.94041],[-74.971995,38.94037],[-74.887167,39.158825],[-75.136548,39.179425],[-75.536431,39.460559],[-75.509342,39.685313],[-75.587147,39.651012],[-75.402035,39.066885],[-75.089473,38.797198],[-75.048939,38.451263],[-75.195382,38.093582],[-75.514921,37.799149],[-75.906734,37.114193],[-76.018645,37.31782],[-75.663095,37.961195],[-75.892686,37.916848],[-75.812913,38.058932],[-75.843862,38.144599],[-75.958786,38.135572],[-75.848473,38.20934],[-75.970514,38.233668],[-75.973876,38.36585],[-76.032044,38.216684],[-76.258189,38.318373],[-76.33636,38.492235],[-76.147158,38.63684],[-76.238685,38.735434],[-76.347998,38.686234],[-76.271575,38.851771],[-76.19343,38.821787],[-76.203638,38.928382],[-76.376031,38.848777],[-76.311766,39.035257],[-76.164004,38.99953],[-76.145174,39.092824],[-76.231765,39.018518],[-76.274741,39.164961],[-76.170588,39.331954],[-76.002408,39.367501],[-75.970337,39.557637],[-76.096072,39.536912],[-76.060988,39.447775],[-76.281374,39.304531],[-76.341443,39.354217],[-76.425281,39.205708],[-76.535885,39.211008],[-76.394358,39.01216],[-76.557535,38.744687],[-76.321499,38.03805],[-76.920778,38.291529],[-77.016371,38.445572],[-77.250172,38.382781],[-77.263599,38.512344],[-77.12634,38.6177],[-77.246704,38.635217],[-77.279633,38.339444],[-77.043526,38.400548],[-76.962311,38.214075],[-76.613939,38.148587],[-76.236725,37.889174],[-76.339892,37.655966],[-76.28037,37.613715],[-76.36232,37.610368],[-76.784618,37.869569],[-76.542666,37.616857],[-76.300144,37.561734],[-76.360474,37.51924],[-76.265056,37.481365],[-76.275552,37.309964],[-76.415167,37.402133],[-76.349489,37.273963],[-76.50364,37.233856],[-76.292344,37.126615],[-76.304272,37.001378],[-76.428869,36.969947],[-76.649869,37.220914],[-76.802511,37.198308],[-76.685614,37.198851],[-76.662558,37.045748],[-76.469914,36.882898],[-76.297663,36.968147],[-75.996252,36.922047],[-75.867044,36.550754]],[[-77.038598,38.791513],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.038598,38.791513]]],[[[-88.124658,30.28364],[-88.075856,30.246139],[-88.313323,30.230024],[-88.124658,30.28364]]],[[[-120.248484,33.999329],[-120.043259,34.035806],[-119.97026,33.944359],[-120.121817,33.895712],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.52064,34.034262],[-119.758141,33.959212],[-119.923337,34.069361],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.605534,33.030999],[-118.353504,32.821962],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.305084,33.310323],[-118.465368,33.326056],[-118.60403,33.47654],[-118.500212,33.449592]]],[[[-81.582923,24.658732],[-81.425483,24.752989],[-81.298028,24.656774],[-81.81289,24.546468],[-81.582923,24.658732]]],[[[-84.777208,29.707398],[-84.696726,29.76993],[-85.097082,29.625215],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.077237,29.670862],[-85.222546,29.678039],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.166042,26.489679],[-82.013913,26.452058],[-82.177017,26.471558],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.659395,24.897433],[-80.174544,25.518406],[-80.250581,25.34193]]],[[[-88.865067,29.752714],[-88.944435,29.658806],[-88.8312,29.878839],[-88.881454,30.053202],[-88.865067,29.752714]]],[[[-70.59628,41.471905],[-70.451084,41.348161],[-70.838777,41.347209],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.049053,41.391702],[-69.960181,41.264546],[-70.275526,41.310464],[-70.092142,41.297741]]],[[[-68.453236,44.189998],[-68.384903,44.154955],[-68.502096,44.152388],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.605906,44.230772],[-68.675056,44.137131],[-68.680773,44.279242]]],[[[-68.785601,44.053503],[-68.944597,44.11284],[-68.825067,44.186338],[-68.785601,44.053503]]],[[[-68.942826,44.281073],[-68.868444,44.38144],[-68.95189,44.218719],[-68.942826,44.281073]]],[[[-88.684434,48.115785],[-88.418244,48.18037],[-88.968903,47.901675],[-88.899698,47.902445],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-84.612845,45.834528],[-84.35602,45.771895],[-84.484128,45.73071],[-84.612845,45.834528]]],[[[-85.566441,45.760222],[-85.487026,45.621211],[-85.561634,45.572213],[-85.630016,45.598166],[-85.566441,45.760222]]],[[[-88.710719,30.250799],[-88.562067,30.227476],[-88.771991,30.245523],[-88.710719,30.250799]]],[[[-75.753765,35.199612],[-75.529393,35.288272],[-75.533512,35.773577],[-75.458659,35.596597],[-75.52592,35.233839],[-76.013145,35.061855],[-75.753765,35.199612]]],[[[-74.144428,40.53516],[-74.254588,40.502303],[-74.1894,40.642121],[-74.075884,40.648101],[-74.144428,40.53516]]],[[[-97.240849,26.411504],[-97.387459,26.820789],[-97.361796,27.359988],[-96.879424,28.131402],[-96.403206,28.371475],[-96.966996,27.950531],[-97.30447,27.407734],[-97.370731,26.909706],[-97.154271,26.066841],[-97.240849,26.411504]]],[[[-122.519535,48.288314],[-122.668385,48.223967],[-122.54512,48.05255],[-122.376259,48.034457],[-122.380497,47.904023],[-122.770045,48.224395],[-122.664659,48.401508],[-122.519535,48.288314]]],[[[-122.474684,47.511068],[-122.373628,47.388718],[-122.51885,47.33332],[-122.474684,47.511068]]],[[[-122.800217,48.60169],[-122.803521,48.428748],[-122.874135,48.418196],[-123.203026,48.596178],[-122.987296,48.561895],[-123.048652,48.621002],[-122.894599,48.71503],[-122.743049,48.661991],[-122.800217,48.60169]]],[[[-90.572383,46.958835],[-90.508157,46.956836],[-90.654796,46.919249],[-90.572383,46.958835]]],[[[-90.757147,47.03372],[-90.544875,47.017383],[-90.671581,46.948973],[-90.757147,47.03372]]],[[[-86.880572,45.331467],[-86.943041,45.41525],[-86.810055,45.422619],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}\n","volume":"218-219","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf2ee4b0f6c2d0d9c762","contributors":{"authors":[{"text":"Otkin, Jason A.","contributorId":192635,"corporation":false,"usgs":false,"family":"Otkin","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":697203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":697204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hain, Christopher","contributorId":191966,"corporation":false,"usgs":false,"family":"Hain","given":"Christopher","email":"","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":697205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svoboda, Mark","contributorId":192357,"corporation":false,"usgs":false,"family":"Svoboda","given":"Mark","email":"","affiliations":[],"preferred":false,"id":697206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, David","contributorId":43629,"corporation":false,"usgs":true,"family":"Johnson","given":"David","email":"","affiliations":[],"preferred":false,"id":697207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mueller, Richard","contributorId":192637,"corporation":false,"usgs":false,"family":"Mueller","given":"Richard","email":"","affiliations":[],"preferred":false,"id":697208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tadesse, Tsegaye 0000-0002-4102-1137","orcid":"https://orcid.org/0000-0002-4102-1137","contributorId":147617,"corporation":false,"usgs":false,"family":"Tadesse","given":"Tsegaye","email":"","affiliations":[],"preferred":false,"id":697209,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697210,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697191,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70169059,"text":"70169059 - 2016 - Complementary approaches to diagnosing marine diseases: a union of the modern and the classic","interactions":[],"lastModifiedDate":"2016-03-14T15:20:05","indexId":"70169059","displayToPublicDate":"2016-03-14T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Complementary approaches to diagnosing marine diseases: a union of the modern and the classic","docAbstract":"Linking marine epizootics to a specific aetiology is notoriously difficult. Recent diagnostic successes show that marine disease diagnosis requires both modern, cutting-edge technology (e.g. metagenomics, quantitative real-time PCR) and more classic methods (e.g. transect surveys, histopathology and cell culture). Here, we discuss how this combination of traditional and modern approaches is necessary for rapid and accurate identification of marine diseases, and emphasize how sole reliance on any one technology or technique may lead disease investigations astray. We present diagnostic approaches at different scales, from the macro (environment, community, population and organismal scales) to the micro (tissue, organ, cell and genomic scales). We use disease case studies from a broad range of taxa to illustrate diagnostic successes from combining traditional and modern diagnostic methods. Finally, we recognize the need for increased capacity of centralized databases, networks, data repositories and contingency plans for diagnosis and management of marine disease.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2015.0207","usgsCitation":"Burge, C.A., Friedman, C., Getchell, R.G., House, M., Lafferty, K.D., Mydlarz, L.D., Prager, K.C., Sutherland, K.P., Renault, T., Kiryu, I., and Vega-Thurber, R., 2016, Complementary approaches to diagnosing marine diseases: a union of the modern and the classic: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 371, p. 1-11, https://doi.org/10.1098/rstb.2015.0207.","productDescription":"Article 20150207; 11 p.","startPage":"1","endPage":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071582","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471153,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2015.0207","text":"Publisher Index Page"},{"id":318858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-05","publicationStatus":"PW","scienceBaseUri":"56e7d299e4b0f59b85d64006","contributors":{"authors":[{"text":"Burge, Colleen A.","contributorId":34814,"corporation":false,"usgs":true,"family":"Burge","given":"Colleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":622715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Carolyn S.","contributorId":13890,"corporation":false,"usgs":true,"family":"Friedman","given":"Carolyn S.","affiliations":[],"preferred":false,"id":622716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Getchell, Rodman G.","contributorId":32416,"corporation":false,"usgs":true,"family":"Getchell","given":"Rodman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":622717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"House, Marcia","contributorId":167561,"corporation":false,"usgs":false,"family":"House","given":"Marcia","email":"","affiliations":[{"id":7059,"text":"Northwest Indian Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":622718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":622714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mydlarz, Laura D.","contributorId":167562,"corporation":false,"usgs":false,"family":"Mydlarz","given":"Laura","email":"","middleInitial":"D.","affiliations":[{"id":24751,"text":"University of Texas Arlington","active":true,"usgs":false}],"preferred":false,"id":622719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prager, Katherine C.","contributorId":8366,"corporation":false,"usgs":true,"family":"Prager","given":"Katherine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":622720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sutherland, Kathryn P.","contributorId":167563,"corporation":false,"usgs":false,"family":"Sutherland","given":"Kathryn","email":"","middleInitial":"P.","affiliations":[{"id":24752,"text":"Rollins College","active":true,"usgs":false}],"preferred":false,"id":622721,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Renault, Tristan","contributorId":167564,"corporation":false,"usgs":false,"family":"Renault","given":"Tristan","email":"","affiliations":[{"id":24753,"text":"Ifremer, De´partement Ressources Biologiques et Environnement, rue de l’Ile d’Yeu","active":true,"usgs":false}],"preferred":false,"id":622722,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kiryu, Ikunari","contributorId":167565,"corporation":false,"usgs":false,"family":"Kiryu","given":"Ikunari","email":"","affiliations":[{"id":24754,"text":"National Research Institute of Aquaculture, Fisheries Research Agency","active":true,"usgs":false}],"preferred":false,"id":622723,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vega-Thurber, Rebecca","contributorId":167566,"corporation":false,"usgs":false,"family":"Vega-Thurber","given":"Rebecca","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622724,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70169058,"text":"70169058 - 2016 - What a drag: Quantifying the global impact of chronic bottom trawling on continental shelf sediment","interactions":[],"lastModifiedDate":"2021-01-07T18:48:40.164069","indexId":"70169058","displayToPublicDate":"2016-03-14T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"What a drag: Quantifying the global impact of chronic bottom trawling on continental shelf sediment","docAbstract":"Continental shelves worldwide are subject to intense bottom trawling that causes sediment to be resuspended. The widely used traditional concepts of modern sedimentary transport systems on the shelf rely only on estimates for naturally driven sediment resuspension such as through storm waves, bottom currents, and gravity-driven flows but they overlook a critical anthropogenic factor. The strong influence of bottom trawling on a source-to-sink sediment budget is explored on the NW Iberian shelf. Use of Automated Information System vessel tracking data provides for a high-resolution vessel track reconstruction and the accurate calculation of the spatial distribution of bottom trawling intensity and associated resuspended sediment load. The mean bottom trawling-induced resuspended sediment mass for the NW Iberian shelf is 13.50 Mt yr− 1, which leads to a six-fold increase in off-shelf sediment transport when compared to natural resuspension mechanisms. The source-to-sink budget analysis provides evidence that bottom trawling causes a rapid erosion of the fine sediment on human time scales. Combining global soft sediment distribution data of the shelves with worldwide bottom trawling intensity estimates we show that the bottom trawling-induced resuspended sediment mass amounts to approximately the same mass of all sediment entering the shelves through rivers. Spatial delineations between natural and anthropogenic sediment resuspension areas are presented to aid in marine management questions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jmarsys.2015.12.007","usgsCitation":"Oberle, F.K., Storlazzi, C.D., and Hanebuth, T.J., 2016, What a drag: Quantifying the global impact of chronic bottom trawling on continental shelf sediment: Journal of Marine Systems, v. 159, p. 109-119, https://doi.org/10.1016/j.jmarsys.2015.12.007.","productDescription":"11 p.","startPage":"109","endPage":"119","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063932","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":318859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"159","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e7d29be4b0f59b85d6401a","contributors":{"authors":[{"text":"Oberle, Ferdinand K. J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":167559,"corporation":false,"usgs":false,"family":"Oberle","given":"Ferdinand","email":"","middleInitial":"K. J.","affiliations":[{"id":24749,"text":"University of Bremen","active":true,"usgs":false}],"preferred":false,"id":622712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":622711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanebuth, Till J.J.","contributorId":167560,"corporation":false,"usgs":false,"family":"Hanebuth","given":"Till","email":"","middleInitial":"J.J.","affiliations":[{"id":24750,"text":"Coastal Carolina University","active":true,"usgs":false}],"preferred":false,"id":622713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}