{"pageNumber":"1246","pageRowStart":"31125","pageSize":"25","recordCount":184938,"records":[{"id":70159642,"text":"70159642 - 2015 - Geomicrobial interactions with arsenic and antimony","interactions":[],"lastModifiedDate":"2017-04-24T09:25:38","indexId":"70159642","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geomicrobial interactions with arsenic and antimony","docAbstract":"Although arsenic and antimony are generally toxic to life, some microorganisms exist that can metabolize certain forms of these elements. Some can use arsenite or stibnite as potential or sole energy sources, whereas others can use aresenate and antimonite (as was discovered only recently) as terminal electron acceptors. Still other microbes can metabolize arsenic and antimony compounds to detoxify them. These reactions are important from a geomicrobial standpoint because they indicate that a number of microbes contribute to arsenic and antimony mobilization or immobilization in the environment and play a role in arsenic and antimony cycles. Recent reviews include five on prokaryotes and arsenic metabolism, a review with an arsenic perspective on biomining, and a series on environmental antimony, including one about antimony and its interaction with microbiota.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ehrlich’s Geomicrobiology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton","doi":"10.1201/b19121-16","usgsCitation":"Oremland, R.S., 2015, Geomicrobial interactions with arsenic and antimony, chap. of Ehrlich’s Geomicrobiology, p. 297-321, https://doi.org/10.1201/b19121-16.","productDescription":"25 p.","startPage":"297","endPage":"321","ipdsId":"IP-052226","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":340140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0ea3e4b006455f2d61e2","contributors":{"authors":[{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","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":579855,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188369,"text":"70188369 - 2015 - Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle","interactions":[],"lastModifiedDate":"2017-06-07T11:10:51","indexId":"70188369","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle","docAbstract":"I reexamine the lower crust and mantle relaxation following two large events in the Mojave Desert: the 1992 M7.3 Landers and 1999 M7.1 Hector Mine, California, earthquakes. Time series from continuous GPS sites out to 300 km from the ruptures are used to constrain models of postseismic relaxation. Crustal motions in the Mojave Desert region are elevated above background for several years following each event. To account for broadscale relaxation of the lower crust and mantle, the Burgers body model is employed, involving transient and steady state viscosities. Joint afterslip/postseismic relaxation modeling of the GPS time series up to one decade following the Hector Mine earthquake reveals a significant rheological contrast between a northwest trending “southwest domain” (that envelopes the San Andreas fault system and western Mojave Desert) and an adjacent “northeast domain” (that envelopes the Landers and Hector Mine rupture areas in the central Mojave Desert). The steady state viscosity of the northeast domain mantle asthenosphere is inferred to be ∼4 times greater than that of the southwest domain. This pattern is counter to that expected for regional heat flow, which is higher in the northeast domain, but it is explicable by means of a nonlinear rheology that includes dependence on both strain rate and water concentration. I infer that the southwest domain mantle has a relatively low steady state viscosity because of its high strain rate and water content. The relatively low mantle water content of the northeast domain is interpreted to result from the continual extraction of water through igneous and volcanic activity over the past ∼20 Myr.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JB011603","usgsCitation":"Pollitz, F., 2015, Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle: Journal of Geophysical Research B: Solid Earth, v. 120, no. 4, p. 2672-2696, https://doi.org/10.1002/2014JB011603.","productDescription":"25 p.","startPage":"2672","endPage":"2696","ipdsId":"IP-057101","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342212,"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 -115.5,\n 33.5\n ],\n [\n -117.25,\n 33.5\n ],\n [\n -117.25,\n 35\n ],\n [\n -115.5,\n 35\n ],\n [\n -115.5,\n 33.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-11","publicationStatus":"PW","scienceBaseUri":"593910b1e4b0764e6c5e889f","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697421,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187563,"text":"70187563 - 2015 - Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin","interactions":[],"lastModifiedDate":"2020-12-18T15:12:08.313004","indexId":"70187563","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5389,"text":"Journal of South Carolina Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin","docAbstract":"Managers of large river basins face conflicting demands for water resources such as wildlife habitat, water supply, wastewater assimilative capacity, flood control, hydroelectricity, and recreation. The Savannah River Basin, for example, has experienced three major droughts since 2000 that resulted in record low water levels in its reservoirs, impacting dependent economies for years. The Savannah River estuary contains two municipal water intakes and the ecologically sensitive freshwater tidal marshes of the Savannah National Wildlife Refuge. The Port of Savannah is the fourth busiest in the United States, and modifications to the harbor to expand ship traffic since the 1970s have caused saltwater to migrate upstream, reducing the freshwater marsh’s acreage more than 50 percent. A planned deepening of the harbor includes flow-alteration features to minimize further migration of salinity, whose effectiveness will only be known after all construction is completed.
One of the challenges of large basin management is the optimization of water use through ongoing regional economic development, droughts, and climate change. This paper describes a model of the Savannah River Basin designed to continuously optimize regulated flow to meet prioritized objectives set by resource managers and stakeholders. The model was developed from historical data using machine learning, making it more accurate and adaptable to changing conditions than traditional models. The model is coupled to an optimization routine that computes the daily flow needed to most efficiently meet the water-resource management objectives. The model and optimization routine are packaged in a decision support system that makes it easy for managers and stakeholders to use. Simulation results show that flow can be regulated to substantially reduce salinity intrusions in the Savannah National Wildlife Refuge, while conserving more water in the reservoirs. A method for using the model to assess the effectiveness of the flow-alteration features after the deepening also is demonstrated.
","language":"English","publisher":"Institute of Computational Ecology","publisherLocation":"Clemson, SC","doi":"10.34068/JSCWR.02.03","usgsCitation":"Roehl, E.A., and Conrads, P., 2015, Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin: Journal of South Carolina Water Resources, v. 2, no. 1, p. 16-23, https://doi.org/10.34068/JSCWR.02.03.","productDescription":"8 p.","startPage":"16","endPage":"23","ipdsId":"IP-066414","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":472019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.34068/jscwr.02.03","text":"Publisher Index Page"},{"id":381502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"Savannah River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.9088134765625,\n 31.975463762188678\n ],\n [\n -81.00769042968749,\n 32.16166284018013\n ],\n [\n -81.05712890625,\n 32.24532861404601\n ],\n [\n -81.0955810546875,\n 32.319633552035214\n ],\n [\n -81.1285400390625,\n 32.48196313217176\n ],\n [\n -81.112060546875,\n 32.59310597426537\n ],\n [\n -81.177978515625,\n 32.690243035492266\n ],\n [\n -81.298828125,\n 32.82421110161336\n ],\n [\n -81.34277343749999,\n 32.91648534731439\n ],\n [\n -81.353759765625,\n 33.01326987686983\n ],\n [\n -81.36474609375,\n 33.17893926058104\n ],\n [\n -81.463623046875,\n 33.330528249028085\n ],\n [\n -81.5625,\n 33.426856918285004\n ],\n [\n -81.595458984375,\n 33.500178528242294\n ],\n [\n -81.6448974609375,\n 33.55055114384406\n ],\n [\n -81.683349609375,\n 33.61461929233378\n ],\n [\n -81.6888427734375,\n 33.660353121928814\n ],\n [\n -81.771240234375,\n 33.67406853374198\n ],\n [\n -81.82617187499999,\n 33.701492795584365\n ],\n [\n -81.82617187499999,\n 33.77458136371689\n ],\n [\n -81.82617187499999,\n 33.81110228864701\n ],\n [\n -81.8865966796875,\n 33.90689555128866\n ],\n [\n -81.91955566406249,\n 33.97525348507592\n ],\n [\n -82.012939453125,\n 34.057210513510306\n ],\n [\n -82.0953369140625,\n 34.10725639663118\n ],\n [\n -82.2491455078125,\n 34.29353023058858\n ],\n [\n -82.2821044921875,\n 34.361576287484176\n ],\n [\n -82.3370361328125,\n 34.43409789359469\n ],\n [\n -82.386474609375,\n 34.52466147177172\n ],\n [\n -82.40295410156249,\n 34.6241677899049\n ],\n [\n -82.4249267578125,\n 34.728069689872285\n ],\n [\n -82.5018310546875,\n 34.79576153473033\n ],\n [\n -82.562255859375,\n 34.903952965590065\n ],\n [\n -82.6556396484375,\n 34.95799531086792\n ],\n [\n -82.7325439453125,\n 34.9895035675793\n ],\n [\n -82.7325439453125,\n 35.03899204678081\n ],\n [\n -82.760009765625,\n 35.07946034047981\n ],\n [\n -82.77099609375,\n 35.15584570226544\n ],\n [\n -82.869873046875,\n 35.16931803601131\n ],\n [\n -82.9522705078125,\n 35.16931803601131\n ],\n [\n -83.0511474609375,\n 35.137879119634185\n ],\n [\n -83.12255859375,\n 35.10193405724606\n ],\n [\n -83.1500244140625,\n 35.092945313732635\n ],\n [\n -83.22143554687499,\n 35.06147690849717\n ],\n [\n -83.27636718749999,\n 35.016500995886005\n ],\n [\n -83.309326171875,\n 34.994003757575776\n ],\n [\n -83.33129882812499,\n 34.96699890670367\n ],\n [\n -83.375244140625,\n 34.908457853981375\n ],\n [\n -83.46313476562499,\n 34.908457853981375\n ],\n [\n -83.51806640624999,\n 34.95799531086792\n ],\n [\n -83.51806640624999,\n 34.9805024453652\n ],\n [\n -83.6224365234375,\n 34.985003130171066\n ],\n [\n -83.6224365234375,\n 34.93548199355901\n ],\n [\n -83.6224365234375,\n 34.89494244739732\n ],\n [\n -83.60595703125,\n 34.82282272723702\n ],\n [\n -83.5894775390625,\n 34.79125047210742\n ],\n [\n -83.529052734375,\n 34.75966612466248\n ],\n [\n -83.4521484375,\n 34.732584206123626\n ],\n [\n -83.42468261718749,\n 34.66935854524543\n ],\n [\n -83.42468261718749,\n 34.62868797377059\n ],\n [\n -83.4686279296875,\n 34.54728700119802\n ],\n [\n -83.5345458984375,\n 34.492975402501536\n ],\n [\n -83.60595703125,\n 34.44315867450577\n ],\n [\n -83.66638183593749,\n 34.4069096565206\n ],\n [\n -83.638916015625,\n 34.347971491244955\n ],\n [\n -83.6004638671875,\n 34.288991865037524\n ],\n [\n -83.529052734375,\n 34.27083595165\n ],\n [\n -83.397216796875,\n 34.21180215769026\n ],\n [\n -83.34228515625,\n 34.15727269301868\n ],\n [\n -83.3258056640625,\n 34.093610452768715\n ],\n [\n -83.309326171875,\n 34.043556504127444\n ],\n [\n -83.265380859375,\n 33.988918483762156\n ],\n [\n -83.243408203125,\n 33.902336404480685\n ],\n [\n -83.16650390625,\n 33.86129311351553\n ],\n [\n -83.133544921875,\n 33.85673152928873\n ],\n [\n -83.14453125,\n 33.779147331286474\n ],\n [\n -83.1500244140625,\n 33.73804486328907\n ],\n [\n -83.0950927734375,\n 33.637489243170826\n ],\n [\n -82.9742431640625,\n 33.55970664841198\n ],\n [\n -82.9083251953125,\n 33.49101671911273\n ],\n [\n -82.7490234375,\n 33.47269019266663\n ],\n [\n -82.69958496093749,\n 33.4039312002347\n ],\n [\n -82.650146484375,\n 33.31216783738619\n ],\n [\n -82.6226806640625,\n 33.247875947924385\n ],\n [\n -82.4688720703125,\n 33.14675022877648\n ],\n [\n -82.3040771484375,\n 33.07773395720986\n ],\n [\n -82.100830078125,\n 33.063924198120645\n ],\n [\n -82.0404052734375,\n 32.99945000822837\n ],\n [\n -81.97448730468749,\n 32.967195229355916\n ],\n [\n -81.89208984375,\n 32.879587173066305\n ],\n [\n -81.7767333984375,\n 32.778037985363675\n ],\n [\n -81.7437744140625,\n 32.72721987021932\n ],\n [\n -81.661376953125,\n 32.63937487360669\n ],\n [\n -81.5185546875,\n 32.56996256044998\n ],\n [\n -81.474609375,\n 32.47732919639942\n ],\n [\n -81.485595703125,\n 32.44024912337551\n ],\n [\n -81.45263671875,\n 32.35212281198644\n ],\n [\n -81.3812255859375,\n 32.31499127724556\n ],\n [\n -81.36474609375,\n 32.24068253457369\n ],\n [\n -81.3372802734375,\n 32.16166284018013\n ],\n [\n -81.331787109375,\n 32.04998888314202\n ],\n [\n -81.2603759765625,\n 31.970803930433096\n ],\n [\n -81.1395263671875,\n 31.956823015897207\n ],\n [\n -80.9912109375,\n 31.956823015897207\n ],\n [\n -80.9088134765625,\n 31.93351676190369\n ],\n [\n -80.9088134765625,\n 31.975463762188678\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-01","publicationStatus":"PW","scienceBaseUri":"5916c9b5e4b044b359e4869e","contributors":{"authors":[{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":694943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":694574,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137985,"text":"70137985 - 2015 - Golden Eagle dietary responses in relation to habitat alteration and climate change in the Morley Nelson Snake River Birds of Prey NCA","interactions":[],"lastModifiedDate":"2021-02-05T16:25:52.670115","indexId":"70137985","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Golden Eagle dietary responses in relation to habitat alteration and climate change in the Morley Nelson Snake River Birds of Prey NCA","docAbstract":"No abstract available.
","language":"English","publisher":"2014 Interim Progress Report","usgsCitation":"Heath, J.A., and Kochert, M.N., 2015, Golden Eagle dietary responses in relation to habitat alteration and climate change in the Morley Nelson Snake River Birds of Prey NCA, 19 p.","productDescription":"19 p.","ipdsId":"IP-061851","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":342378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa833e4b0764e6c627958","contributors":{"authors":[{"text":"Heath, Julie A.","contributorId":192842,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":697861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","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":538390,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154779,"text":"70154779 - 2015 - The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18","interactions":[],"lastModifiedDate":"2018-07-31T13:15:02","indexId":"70154779","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18","docAbstract":"The northern tamarisk beetle (Diorhabda carinulata) was introduced to the Colorado Plateau within the Colorado River Basin in 2004, in an effort to control invasive/exotic tamarisk (Tamarix ramosissima) plants. Since release, there has been rapid beetle colonization and subsequent defoliation of tamarisk along the Colorado River corridor. We collected plant phenology and beetle abundance data from the Dolores and San Juan rivers, two major tributaries of the Colorado River, to document tamarisk defoliation and beetle movement patterns. We found D. carinulata population movement patterns to be highly influenced by the availability of food resources, with local beetle boom and bust events appearing common. Beetles were able to defoliate from 35-65 km of river corridor tamarisk habitat each year. Following intensive tamarisk defoliation of large riparian reaches, beetles displayed a pattern of temporary abandonment in the following year with recolonization of that habitat in the subsequent year. Larvae were found primarily in areas that had partial defoliation, while adults occurred throughout the river corridor but most often on the leading edge of defoliated habitats. Understanding this type of beetle behavior and movement patterns will be useful in the management of areas where D. carinulata has been established, and in areas where it has not yet colonized. This will also assist land managers to further understand how defoliation and the presence of D. carinulata influence tamarisk-dominated habitats within Colorado Plateau riparian ecosystems.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Colorado Plateau VI: Science and Management at the Landscape Scale","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of Arizona Press","publisherLocation":"Tucson, AZ","isbn":"978-0-8165-3159-2","usgsCitation":"Jamison, L., van Riper, C., and Bean, D., 2015, The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18, chap. of The Colorado Plateau VI: Science and Management at the Landscape Scale, p. 281-291.","productDescription":"11 p.","startPage":"281","endPage":"291","ipdsId":"IP-036267","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":340950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305555,"type":{"id":15,"text":"Index Page"},"url":"https://www.uapress.arizona.edu/Books/bid2511.htm"}],"country":"United States","otherGeospatial":"Dolores River, San Juan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.12857055664061,\n 39.02025064038437\n ],\n [\n -109.38674926757811,\n 38.810820900566135\n ],\n [\n -108.83193969726562,\n 38.348118547988065\n ],\n [\n -108.57376098632812,\n 38.568569091731305\n ],\n [\n -109.12857055664061,\n 39.02025064038437\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.37689208984374,\n 37.122001366241\n ],\n [\n -109.61196899414061,\n 37.122001366241\n ],\n [\n -109.61196899414061,\n 37.34941777989473\n ],\n [\n -110.37689208984374,\n 37.34941777989473\n ],\n [\n -110.37689208984374,\n 37.122001366241\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b5e4b0e541a03c1a66","contributors":{"authors":[{"text":"Jamison, Levi R.","contributorId":45163,"corporation":false,"usgs":true,"family":"Jamison","given":"Levi R.","affiliations":[],"preferred":false,"id":564122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":564120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, Dan W.","contributorId":58133,"corporation":false,"usgs":true,"family":"Bean","given":"Dan W.","affiliations":[],"preferred":false,"id":564121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154925,"text":"70154925 - 2015 - Measuring storm tide and high-water marks caused by Hurricane Sandy in New York: Chapter 2","interactions":[],"lastModifiedDate":"2017-05-08T14:41:50","indexId":"70154925","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Measuring storm tide and high-water marks caused by Hurricane Sandy in New York: Chapter 2","docAbstract":"In response to Hurricane Sandy, personnel from the U.S. Geological Survey (USGS) deployed a temporary network of storm-tide sensors from Virginia to Maine. During the storm, real-time water levels were available from tide gages and rapid-deployment gages (RDGs). After the storm, USGS scientists retrieved the storm-tide sensors and RDGs and surveyed high-water marks. These data demonstrate that the timing of peak storm surge relative to astronomical tide was extremely important in southeastern New York. For example, along the south shores of New York City and western Suffolk County, the peak storm surge of 6–9 ft generally coincided with the astronomical high tide, which resulted in substantial coastal flooding. In the Peconic Estuary and northern Nassau County, however, the peak storm surge of 9 ft and nearly 12 ft, respectively, nearly coincided with normal low tide, which helped spare these communities from more severe coastal flooding.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Learning from the Impacts of Superstorm Sandy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier Inc.","publisherLocation":"Amsterdam","doi":"10.1016/B978-0-12-801520-9.00002-X","usgsCitation":"Simonson, A.E., and Behrens, R., 2015, Measuring storm tide and high-water marks caused by Hurricane Sandy in New York: Chapter 2, chap. of Learning from the Impacts of Superstorm Sandy, p. 7-19, https://doi.org/10.1016/B978-0-12-801520-9.00002-X.","productDescription":"9 p.","startPage":"7","endPage":"19","ipdsId":"IP-055477","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":340949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-74.04086,40.700117],[-74.037998,40.698995],[-74.044451,40.688445],[-74.046359,40.689175],[-74.04086,40.700117]]],[[[-74.144428,40.53516],[-74.177986,40.519603],[-74.182157,40.520634],[-74.199923,40.511729],[-74.210474,40.509448],[-74.219787,40.502603],[-74.23324,40.501299],[-74.246688,40.496103],[-74.250188,40.496703],[-74.254588,40.502303],[-74.256088,40.507903],[-74.252702,40.513895],[-74.242888,40.520903],[-74.241732,40.531273],[-74.247808,40.543396],[-74.229002,40.555041],[-74.216997,40.554991],[-74.210887,40.560902],[-74.204054,40.589336],[-74.19682,40.597037],[-74.195407,40.601806],[-74.196096,40.616169],[-74.200994,40.616906],[-74.201812,40.619507],[-74.20058,40.631448],[-74.1894,40.642121],[-74.180191,40.645521],[-74.174085,40.645109],[-74.170187,40.642201],[-74.152973,40.638886],[-74.120186,40.642201],[-74.086485,40.648601],[-74.075884,40.648101],[-74.0697,40.641216],[-74.067598,40.623865],[-74.053125,40.603678],[-74.059184,40.593502],[-74.111471,40.546908],[-74.121672,40.542691],[-74.137241,40.530076],[-74.144428,40.53516]]],[[[-72.132225,41.104387],[-72.128352,41.108131],[-72.126704,41.115139],[-72.084207,41.101524],[-72.081167,41.09394],[-72.086975,41.058292],[-72.0972,41.054884],[-72.097136,41.075844],[-72.1064,41.088883],[-72.12056,41.093171],[-72.139233,41.092451],[-72.141921,41.094371],[-72.142929,41.097811],[-72.140737,41.100835],[-72.132225,41.104387]]],[[[-71.943563,41.286675],[-71.926802,41.290122],[-71.935259,41.280579],[-71.978926,41.265002],[-72.002461,41.252867],[-72.036846,41.249794],[-72.029438,41.26309],[-72.018926,41.274114],[-72.006872,41.27348],[-71.991117,41.281331],[-71.980061,41.280291],[-71.943563,41.286675]]],[[[-73.767176,40.886299],[-73.766276,40.881099],[-73.770876,40.879299],[-73.775276,40.882199],[-73.770576,40.888399],[-73.767176,40.886299]]],[[[-73.773361,40.859449],[-73.770552,40.86033],[-73.766333,40.857317],[-73.766032,40.844961],[-73.769648,40.84466],[-73.773038,40.848125],[-73.773361,40.859449]]],[[[-74.027392,44.995765],[-73.874597,45.001223],[-73.639718,45.003464],[-73.343124,45.01084],[-73.354633,44.987352],[-73.350218,44.976222],[-73.338734,44.965886],[-73.338979,44.917681],[-73.353657,44.907346],[-73.35808,44.901325],[-73.369103,44.86668],[-73.379822,44.857037],[-73.381359,44.845021],[-73.379452,44.83801],[-73.375345,44.836307],[-73.369647,44.829136],[-73.354945,44.8215],[-73.335443,44.804602],[-73.333154,44.788759],[-73.335713,44.782086],[-73.347072,44.772988],[-73.354361,44.755296],[-73.365561,44.741786],[-73.36556,44.700297],[-73.361323,44.695369],[-73.365297,44.687546],[-73.370142,44.684853],[-73.367209,44.678513],[-73.371089,44.67753],[-73.37272,44.668739],[-73.369669,44.663478],[-73.379074,44.656772],[-73.378014,44.653846],[-73.383157,44.645764],[-73.378561,44.641475],[-73.386783,44.636369],[-73.386497,44.626924],[-73.390231,44.618353],[-73.382932,44.612184],[-73.376849,44.599598],[-73.376806,44.595455],[-73.381848,44.589316],[-73.375666,44.582038],[-73.374389,44.575455],[-73.356788,44.557918],[-73.338751,44.548046],[-73.3393,44.544477],[-73.331595,44.535924],[-73.329458,44.529203],[-73.322026,44.525289],[-73.320836,44.513631],[-73.306707,44.500334],[-73.304418,44.485739],[-73.298939,44.471304],[-73.300114,44.454711],[-73.293613,44.440559],[-73.296031,44.428339],[-73.310491,44.402601],[-73.315016,44.388513],[-73.333575,44.372288],[-73.334939,44.364441],[-73.334637,44.356877],[-73.323997,44.333842],[-73.324229,44.310023],[-73.312299,44.280025],[-73.311025,44.27424],[-73.312852,44.265346],[-73.323596,44.243897],[-73.329322,44.244504],[-73.34323,44.238049],[-73.342312,44.234531],[-73.349889,44.230356],[-73.362013,44.208545],[-73.382252,44.197178],[-73.383987,44.193158],[-73.390583,44.190886],[-73.389658,44.181249],[-73.396892,44.173846],[-73.395399,44.166903],[-73.398728,44.162248],[-73.402381,44.145856],[-73.415761,44.132826],[-73.411316,44.112686],[-73.416319,44.099422],[-73.429239,44.079414],[-73.43774,44.045006],[-73.42312,44.032759],[-73.410776,44.026944],[-73.407739,44.021312],[-73.405977,44.011485],[-73.412613,43.97998],[-73.406823,43.967317],[-73.405525,43.948813],[-73.408589,43.932933],[-73.395878,43.903044],[-73.383491,43.890951],[-73.374051,43.875563],[-73.382046,43.855008],[-73.372462,43.846266],[-73.373688,43.84261],[-73.388389,43.832404],[-73.392492,43.820779],[-73.380804,43.810951],[-73.376361,43.798766],[-73.357547,43.785933],[-73.354758,43.776721],[-73.350593,43.771939],[-73.369725,43.744274],[-73.370612,43.725329],[-73.385883,43.711336],[-73.395517,43.696831],[-73.404739,43.690213],[-73.404126,43.681339],[-73.415513,43.65245],[-73.426463,43.642598],[-73.42791,43.634428],[-73.417668,43.621687],[-73.423708,43.612356],[-73.421616,43.603023],[-73.431229,43.588285],[-73.428636,43.583994],[-73.420378,43.581489],[-73.405629,43.571179],[-73.395767,43.568087],[-73.383369,43.57677],[-73.383446,43.596778],[-73.372469,43.604848],[-73.376036,43.612596],[-73.369933,43.619093],[-73.371889,43.624489],[-73.347621,43.622509],[-73.342181,43.62607],[-73.323893,43.627629],[-73.310606,43.624114],[-73.306234,43.628018],[-73.302076,43.624364],[-73.300285,43.610806],[-73.292232,43.60255],[-73.292801,43.593861],[-73.296924,43.587323],[-73.292364,43.585104],[-73.294621,43.57897],[-73.284912,43.579272],[-73.279726,43.574241],[-73.26938,43.571973],[-73.258631,43.564949],[-73.248641,43.553857],[-73.250132,43.543429],[-73.246585,43.541855],[-73.24139,43.532345],[-73.247698,43.523173],[-73.256493,43.259249],[-73.26978,43.035923],[-73.278673,42.83341],[-73.285388,42.834093],[-73.287063,42.82014],[-73.28375,42.813864],[-73.290944,42.80192],[-73.276421,42.746019],[-73.264957,42.74594],[-73.508142,42.086257],[-73.496879,42.049675],[-73.487314,42.049638],[-73.489615,42.000092],[-73.521041,41.619773],[-73.550961,41.295422],[-73.482709,41.21276],[-73.727775,41.100696],[-73.654671,41.011697],[-73.659372,40.999497],[-73.659671,40.987909],[-73.655972,40.979597],[-73.662072,40.966198],[-73.664472,40.967198],[-73.678073,40.962798],[-73.686473,40.945198],[-73.721739,40.932037],[-73.756776,40.912599],[-73.781338,40.885447],[-73.784803,40.878528],[-73.788786,40.858485],[-73.78806,40.854131],[-73.782174,40.847358],[-73.781206,40.838891],[-73.783867,40.836795],[-73.785399,40.838004],[-73.791044,40.846552],[-73.789512,40.85139],[-73.793785,40.855583],[-73.799543,40.848027],[-73.806914,40.849501],[-73.81281,40.846737],[-73.815205,40.831075],[-73.804518,40.818546],[-73.797332,40.815597],[-73.781369,40.794907],[-73.776032,40.795275],[-73.768431,40.800704],[-73.754032,40.820941],[-73.7544,40.826837],[-73.728275,40.8529],[-73.726675,40.8568],[-73.729575,40.8665],[-73.713674,40.870099],[-73.675573,40.856999],[-73.655872,40.863899],[-73.654372,40.878199],[-73.633771,40.898198],[-73.617571,40.897898],[-73.569969,40.915398],[-73.566169,40.915798],[-73.548068,40.908698],[-73.519267,40.914298],[-73.514999,40.912821],[-73.499941,40.918166],[-73.491765,40.942097],[-73.485365,40.946397],[-73.463708,40.937697],[-73.437509,40.934985],[-73.429863,40.929797],[-73.428836,40.921506],[-73.406074,40.920235],[-73.402963,40.925097],[-73.403462,40.942197],[-73.400862,40.953997],[-73.392862,40.955297],[-73.374462,40.937597],[-73.365961,40.931697],[-73.352761,40.926697],[-73.345561,40.925297],[-73.344161,40.927297],[-73.33136,40.929597],[-73.295061,40.924497],[-73.229285,40.905121],[-73.148994,40.928898],[-73.146242,40.935074],[-73.144673,40.955842],[-73.140785,40.966178],[-73.110368,40.971938],[-73.081582,40.973058],[-73.043701,40.962185],[-73.040445,40.964498],[-72.995931,40.966498],[-72.88825,40.962962],[-72.826057,40.969794],[-72.774104,40.965314],[-72.760031,40.975334],[-72.714425,40.985596],[-72.689341,40.989776],[-72.665018,40.987496],[-72.585327,40.997587],[-72.565406,41.009508],[-72.560974,41.015444],[-72.549853,41.019844],[-72.521548,41.037652],[-72.477306,41.052212],[-72.460778,41.067012],[-72.445242,41.086116],[-72.417945,41.087955],[-72.397,41.096307],[-72.356087,41.133635],[-72.322381,41.140664],[-72.291109,41.155874],[-72.278789,41.158722],[-72.2681,41.154146],[-72.245348,41.161217],[-72.238211,41.15949],[-72.237731,41.156434],[-72.253572,41.137138],[-72.265124,41.128482],[-72.300374,41.112274],[-72.300044,41.132059],[-72.306381,41.13784],[-72.318146,41.137134],[-72.32663,41.132162],[-72.335271,41.120274],[-72.335177,41.106917],[-72.317238,41.088659],[-72.297718,41.081042],[-72.280373,41.080402],[-72.276709,41.076722],[-72.283093,41.067874],[-72.273657,41.051533],[-72.260515,41.042065],[-72.229364,41.044355],[-72.201859,41.032275],[-72.190563,41.032579],[-72.183266,41.035619],[-72.174882,41.046147],[-72.162898,41.053187],[-72.153857,41.051859],[-72.137297,41.039684],[-72.135137,41.031284],[-72.137409,41.023908],[-72.116368,40.999796],[-72.10216,40.991509],[-72.095456,40.991349],[-72.083039,40.996453],[-72.076175,41.009093],[-72.061448,41.009442],[-72.057934,41.004789],[-72.051585,41.006437],[-72.049526,41.009697],[-72.051928,41.020506],[-72.047468,41.022565],[-72.035792,41.020759],[-72.015013,41.028348],[-71.99926,41.039669],[-71.96704,41.047772],[-71.961078,41.054277],[-71.959595,41.071237],[-71.93825,41.077413],[-71.899256,41.080837],[-71.889543,41.075701],[-71.869558,41.075046],[-71.86447,41.076918],[-71.857494,41.073558],[-71.856214,41.070598],[-71.87391,41.052278],[-71.903736,41.040166],[-71.935689,41.034182],[-72.029357,40.999909],[-72.114448,40.972085],[-72.39585,40.86666],[-72.469996,40.84274],[-72.753112,40.763571],[-72.768152,40.761587],[-72.863164,40.732962],[-73.054963,40.666371],[-73.20844,40.630884],[-73.262106,40.621476],[-73.306396,40.620756],[-73.319257,40.635795],[-73.351465,40.6305],[-73.391967,40.617501],[-73.450369,40.603501],[-73.562372,40.583703],[-73.610873,40.587703],[-73.646674,40.582804],[-73.754776,40.584404],[-73.753349,40.59056],[-73.774928,40.590759],[-73.834408,40.577201],[-73.878906,40.560888],[-73.934512,40.545175],[-73.932729,40.560266],[-73.935686,40.564914],[-73.95005,40.573363],[-73.991346,40.57035],[-74.002056,40.570623],[-74.012022,40.574528],[-74.012996,40.578169],[-74.001591,40.590684],[-74.003281,40.595754],[-74.010926,40.600789],[-74.032856,40.604421],[-74.03959,40.612934],[-74.042412,40.624847],[-74.038336,40.637074],[-74.032066,40.646479],[-74.018272,40.659019],[-74.020467,40.67877],[-74.024827,40.687007],[-74.01849,40.695457],[-74.0168,40.701794],[-74.019526,40.706985],[-74.024543,40.709436],[-74.013784,40.756601],[-73.963182,40.8269],[-73.953982,40.848],[-73.929006,40.889578],[-73.896479,40.981697],[-73.893979,40.997197],[-73.90501,40.997591],[-74.18239,41.121595],[-74.301994,41.172594],[-74.457584,41.248225],[-74.696398,41.357339],[-74.689767,41.361558],[-74.691129,41.367324],[-74.708458,41.378901],[-74.715979,41.392584],[-74.73364,41.396975],[-74.740963,41.40512],[-74.741086,41.411413],[-74.734731,41.422699],[-74.738455,41.430641],[-74.743821,41.430635],[-74.758587,41.423287],[-74.773239,41.426352],[-74.790417,41.42166],[-74.795396,41.42398],[-74.801225,41.4381],[-74.807582,41.442847],[-74.817995,41.440505],[-74.826031,41.431736],[-74.830671,41.430503],[-74.836915,41.431625],[-74.858578,41.444427],[-74.888691,41.438259],[-74.893913,41.43893],[-74.896399,41.442179],[-74.889075,41.451245],[-74.890358,41.455324],[-74.906887,41.461131],[-74.909181,41.472436],[-74.912517,41.475605],[-74.924092,41.477138],[-74.932585,41.482323],[-74.941798,41.483542],[-74.95826,41.476396],[-74.983341,41.480894],[-74.985595,41.485863],[-74.982168,41.498486],[-74.984372,41.506611],[-74.987645,41.508738],[-75.003151,41.508101],[-75.000911,41.519292],[-75.00385,41.524052],[-75.014919,41.531399],[-75.024206,41.534018],[-75.024798,41.539801],[-75.016144,41.544246],[-75.018524,41.551802],[-75.027343,41.563541],[-75.04049,41.569688],[-75.04676,41.583258],[-75.060012,41.590813],[-75.074613,41.605711],[-75.071667,41.609501],[-75.059725,41.610801],[-75.061675,41.615468],[-75.060098,41.617482],[-75.05385,41.618655],[-75.048385,41.615986],[-75.044224,41.617978],[-75.043562,41.62364],[-75.048658,41.633781],[-75.04992,41.662556],[-75.059332,41.67232],[-75.051285,41.679961],[-75.052736,41.688393],[-75.059829,41.699716],[-75.06883,41.708161],[-75.06663,41.712588],[-75.052226,41.711396],[-75.049862,41.713309],[-75.054818,41.735168],[-75.053431,41.752538],[-75.060759,41.764638],[-75.075942,41.771518],[-75.095451,41.768366],[-75.10099,41.769121],[-75.10464,41.774203],[-75.101463,41.787941],[-75.092876,41.796386],[-75.076889,41.798509],[-75.072168,41.808327],[-75.072172,41.813732],[-75.078063,41.815112],[-75.089484,41.811576],[-75.100024,41.818347],[-75.113334,41.822782],[-75.115147,41.827285],[-75.113369,41.840698],[-75.115598,41.844638],[-75.130983,41.845145],[-75.140241,41.852078],[-75.152898,41.848564],[-75.161541,41.849836],[-75.168733,41.859258],[-75.168053,41.867043],[-75.170565,41.871608],[-75.176633,41.872371],[-75.185254,41.85993],[-75.194382,41.867287],[-75.204002,41.869867],[-75.21497,41.867449],[-75.223734,41.857456],[-75.231612,41.859459],[-75.241134,41.867118],[-75.251197,41.86204],[-75.260527,41.8638],[-75.263815,41.870757],[-75.257564,41.877108],[-75.260623,41.883783],[-75.271292,41.88736],[-75.272778,41.897112],[-75.267773,41.901971],[-75.267562,41.907054],[-75.276552,41.922208],[-75.279094,41.938917],[-75.289383,41.942891],[-75.293713,41.954593],[-75.300409,41.953871],[-75.301233,41.9489],[-75.303966,41.948216],[-75.312817,41.950182],[-75.318168,41.954236],[-75.32004,41.960867],[-75.329318,41.968232],[-75.342204,41.972872],[-75.337602,41.9867],[-75.341125,41.992772],[-75.359579,41.999445],[-76.343722,41.998346],[-76.920784,42.001774],[-77.124693,41.999395],[-77.83203,41.998524],[-78.12473,42.000452],[-78.874759,41.997559],[-79.761374,41.999067],[-79.761951,42.26986],[-79.717825,42.284711],[-79.645358,42.315631],[-79.546262,42.363417],[-79.474794,42.404291],[-79.453533,42.411157],[-79.429119,42.42838],[-79.405458,42.453281],[-79.381943,42.466491],[-79.351989,42.48892],[-79.331483,42.489076],[-79.31774,42.499884],[-79.283364,42.511228],[-79.264624,42.523159],[-79.242889,42.531757],[-79.193232,42.545881],[-79.148723,42.553672],[-79.138569,42.564462],[-79.12963,42.589824],[-79.121921,42.594234],[-79.113713,42.605994],[-79.111361,42.613358],[-79.078761,42.640058],[-79.073261,42.639958],[-79.06376,42.644758],[-79.062261,42.668358],[-79.04886,42.689158],[-79.01886,42.701558],[-78.991159,42.705358],[-78.944158,42.731958],[-78.918157,42.737258],[-78.868556,42.770258],[-78.853455,42.783958],[-78.851355,42.791758],[-78.856456,42.800258],[-78.859356,42.800658],[-78.863656,42.813058],[-78.865656,42.826758],[-78.860445,42.83511],[-78.859456,42.841358],[-78.865592,42.852358],[-78.872227,42.853306],[-78.882557,42.867258],[-78.891655,42.884845],[-78.912458,42.886557],[-78.905758,42.899957],[-78.905659,42.923357],[-78.909159,42.933257],[-78.918859,42.946857],[-78.93236,42.955857],[-78.961761,42.957756],[-78.975062,42.968756],[-79.011563,42.985256],[-79.019964,42.994756],[-79.02092,43.014287],[-79.011764,43.028956],[-79.005164,43.047056],[-79.00545,43.057231],[-79.01053,43.064389],[-79.074467,43.077855],[-79.074678,43.083141],[-79.064754,43.093205],[-79.060281,43.105086],[-79.062518,43.120182],[-79.060206,43.124799],[-79.044066,43.138055],[-79.042366,43.143655],[-79.046567,43.162355],[-79.053067,43.173655],[-79.050744,43.197417],[-79.055868,43.238554],[-79.061388,43.251349],[-79.070469,43.262454],[-79.019848,43.273686],[-78.971866,43.281254],[-78.836261,43.318455],[-78.777759,43.327055],[-78.747158,43.334555],[-78.696856,43.341255],[-78.634346,43.357624],[-78.547395,43.369541],[-78.488857,43.374763],[-78.473099,43.370812],[-78.370221,43.376505],[-78.358711,43.373988],[-78.233609,43.36907],[-78.145195,43.37551],[-78.104509,43.375628],[-78.023609,43.366575],[-77.995591,43.365293],[-77.976438,43.369159],[-77.965238,43.368059],[-77.922736,43.35696],[-77.904836,43.35696],[-77.875335,43.34966],[-77.797381,43.339857],[-77.760231,43.341161],[-77.756931,43.337361],[-77.714129,43.323561],[-77.701429,43.308261],[-77.660359,43.282998],[-77.628315,43.271303],[-77.577223,43.243263],[-77.551022,43.235763],[-77.534184,43.234569],[-77.50092,43.250363],[-77.476642,43.254522],[-77.436831,43.265701],[-77.414516,43.269263],[-77.391015,43.276363],[-77.341092,43.280661],[-77.314619,43.28103],[-77.303979,43.27815],[-77.264177,43.277363],[-77.214058,43.284114],[-77.173088,43.281509],[-77.143416,43.287561],[-77.130429,43.285635],[-77.111866,43.287945],[-77.067295,43.280937],[-77.033875,43.271218],[-76.999691,43.271456],[-76.988445,43.2745],[-76.958402,43.270005],[-76.952174,43.270692],[-76.904288,43.291816],[-76.877397,43.292926],[-76.854976,43.298443],[-76.841675,43.305399],[-76.794708,43.309632],[-76.769025,43.318452],[-76.731039,43.343421],[-76.69836,43.344436],[-76.684856,43.352691],[-76.669624,43.366526],[-76.630774,43.413356],[-76.607093,43.423374],[-76.562826,43.448537],[-76.53181,43.460299],[-76.521999,43.468617],[-76.515882,43.471136],[-76.506858,43.469127],[-76.486962,43.47535],[-76.472498,43.492781],[-76.437473,43.509213],[-76.417581,43.521285],[-76.368849,43.525822],[-76.345492,43.513437],[-76.297103,43.51287],[-76.259858,43.524728],[-76.235834,43.529256],[-76.228701,43.532987],[-76.217958,43.545156],[-76.209853,43.560136],[-76.203473,43.574978],[-76.199138,43.600454],[-76.196596,43.649761],[-76.205436,43.718751],[-76.213205,43.753513],[-76.229268,43.804135],[-76.250135,43.825713],[-76.266977,43.838046],[-76.283307,43.843923],[-76.284481,43.850968],[-76.28272,43.858601],[-76.261584,43.873278],[-76.243384,43.877975],[-76.227485,43.875061],[-76.219313,43.86682],[-76.202257,43.864898],[-76.158249,43.887542],[-76.145506,43.888681],[-76.133267,43.892975],[-76.127285,43.897889],[-76.125023,43.912773],[-76.133697,43.940356],[-76.134296,43.954726],[-76.139086,43.962111],[-76.146072,43.964705],[-76.169802,43.962202],[-76.184874,43.971128],[-76.22805,43.982737],[-76.244439,43.975803],[-76.264294,43.978009],[-76.268706,43.980846],[-76.266733,43.995578],[-76.269672,44.001148],[-76.281928,44.009177],[-76.296755,44.013307],[-76.298962,44.017719],[-76.300222,44.022762],[-76.296986,44.045455],[-76.300532,44.057188],[-76.360306,44.070907],[-76.360798,44.087644],[-76.366972,44.100409],[-76.363835,44.111696],[-76.355679,44.133258],[-76.312647,44.199044],[-76.286547,44.203773],[-76.245487,44.203669],[-76.206777,44.214543],[-76.191328,44.221244],[-76.164265,44.239603],[-76.161833,44.280777],[-76.130884,44.296635],[-76.118136,44.29485],[-76.111931,44.298031],[-76.097351,44.299547],[-76.045228,44.331724],[-76.000998,44.347534],[-75.978281,44.34688],[-75.970185,44.342835],[-75.94954,44.349129],[-75.929465,44.359603],[-75.922247,44.36568],[-75.912985,44.368084],[-75.871496,44.394839],[-75.82083,44.432244],[-75.807778,44.471644],[-75.76623,44.515851],[-75.662381,44.591934],[-75.618364,44.619637],[-75.505903,44.705081],[-75.477642,44.720224],[-75.423943,44.756329],[-75.413885,44.76889],[-75.397007,44.773471],[-75.387371,44.78003],[-75.372347,44.78311],[-75.346527,44.805563],[-75.333744,44.806378],[-75.306487,44.826144],[-75.30763,44.836813],[-75.26825,44.855119],[-75.255517,44.857651],[-75.241303,44.866958],[-75.228635,44.8679],[-75.218548,44.87554],[-75.203012,44.877548],[-75.142958,44.900237],[-75.133977,44.911838],[-75.105162,44.921193],[-75.096659,44.927067],[-75.066245,44.930174],[-75.059966,44.93457],[-75.027125,44.946568],[-75.005155,44.958402],[-74.999655,44.965921],[-74.99927,44.971638],[-74.992756,44.977449],[-74.972463,44.983402],[-74.907956,44.983359],[-74.900733,44.992754],[-74.887837,45.000046],[-74.861927,45.002771],[-74.834669,45.014683],[-74.826578,45.01585],[-74.799434,45.009132],[-74.793148,45.004647],[-74.768749,45.003893],[-74.760215,44.994946],[-74.74464,44.990577],[-74.731301,44.990422],[-74.722574,44.998062],[-74.702018,45.003322],[-74.683973,44.99969],[-74.667338,45.001648],[-74.661478,44.999592],[-74.45753,44.997032],[-74.335184,44.991905],[-74.146814,44.9915],[-74.027392,44.995765]]]]},\"properties\":{\"name\":\"New York\",\"nation\":\"USA \"}}]}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b5e4b0e541a03c1a64","contributors":{"authors":[{"text":"Simonson, Amy E. asimonso@usgs.gov","contributorId":1060,"corporation":false,"usgs":true,"family":"Simonson","given":"Amy","email":"asimonso@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behrens, Riley rbehrens@usgs.gov","contributorId":5509,"corporation":false,"usgs":true,"family":"Behrens","given":"Riley","email":"rbehrens@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190121,"text":"70190121 - 2015 - Celestine-bearing geodes from Wayne and Emery counties, southeastern Utah: Genesis and mineralogy","interactions":[],"lastModifiedDate":"2017-08-12T08:38:54","indexId":"70190121","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3307,"text":"Rocks & Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Celestine-bearing geodes from Wayne and Emery counties, southeastern Utah: Genesis and mineralogy","docAbstract":"Geodes containing celestine with associated quartz, calcite, chlorite, and other minerals occur in the Jurassic Curtis Formation of Emery and Wayne counties off the east and south flanks of the San Rafael Swell in southeastern Utah. The two areas discussed in this article produce geodes to 25 cm wide containing bladed to tabular celestine crystals that are as much as 4.5 cm in length. An evaporative littoral system resulting in the formation of anhydrite nodules is proposed as the initial environment for this deposit. Subsequent silicification of the nodules and, in some cases, the formation of hollow spaces within the silicified nodules, provided a geode structure for the eventual crystallization of celestine and associated minerals.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00357529.2015.1034489","usgsCitation":"Kile, D.E., Dayvault, R.D., Hood, W.C., and Hatch, H.S., 2015, Celestine-bearing geodes from Wayne and Emery counties, southeastern Utah: Genesis and mineralogy: Rocks & Minerals, v. 90, no. 4, p. 314-337, https://doi.org/10.1080/00357529.2015.1034489.","productDescription":"24 p.","startPage":"314","endPage":"337","ipdsId":"IP-062037","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","county":"Emery County, Wayne County","volume":"90","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-17","publicationStatus":"PW","scienceBaseUri":"59901399e4b09fa1cb17892f","contributors":{"authors":[{"text":"Kile, Daniel E. dekile@usgs.gov","contributorId":1286,"corporation":false,"usgs":true,"family":"Kile","given":"Daniel","email":"dekile@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dayvault, Richard D.","contributorId":195593,"corporation":false,"usgs":false,"family":"Dayvault","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":707568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hood, William C.","contributorId":100946,"corporation":false,"usgs":true,"family":"Hood","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":707569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, H. Steven","contributorId":195595,"corporation":false,"usgs":false,"family":"Hatch","given":"H.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":707570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190041,"text":"70190041 - 2015 - Updating the USGS seismic hazard maps for Alaska","interactions":[],"lastModifiedDate":"2017-08-06T16:12:12","indexId":"70190041","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Updating the USGS seismic hazard maps for Alaska","docAbstract":"The U.S. Geological Survey makes probabilistic seismic hazard maps and engineering design maps for building codes, emergency planning, risk management, and many other applications. The methodology considers all known earthquake sources with their associated magnitude and rate distributions. Specific faults can be modeled if slip-rate or recurrence information is available. Otherwise, areal sources are developed from earthquake catalogs or GPS data. Sources are combined with ground-motion estimates to compute the hazard. The current maps for Alaska were developed in 2007, and included modeled sources for the Alaska-Aleutian megathrust, a few crustal faults, and areal seismicity sources. The megathrust was modeled as a segmented dipping plane with segmentation largely derived from the slip patches of past earthquakes. Some megathrust deformation is aseismic, so recurrence was estimated from seismic history rather than plate rates. Crustal faults included the Fairweather-Queen Charlotte system, the Denali–Totschunda system, the Castle Mountain fault, two faults on Kodiak Island, and the Transition fault, with recurrence estimated from geologic data. Areal seismicity sources were developed for Benioff-zone earthquakes and for crustal earthquakes not associated with modeled faults. We review the current state of knowledge in Alaska from a seismic-hazard perspective, in anticipation of future updates of the maps. Updated source models will consider revised seismicity catalogs, new information on crustal faults, new GPS data, and new thinking on megathrust recurrence, segmentation, and geometry. Revised ground-motion models will provide up-to-date shaking estimates for crustal earthquakes and subduction earthquakes in Alaska.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2014.10.006","usgsCitation":"Mueller, C., Briggs, R.W., Wesson, R.L., and Petersen, M.D., 2015, Updating the USGS seismic hazard maps for Alaska: Quaternary Science Reviews, v. 113, p. 39-47, https://doi.org/10.1016/j.quascirev.2014.10.006.","productDescription":"9 p.","startPage":"39","endPage":"47","ipdsId":"IP-060564","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59882a96e4b05ba66e9ffde0","contributors":{"authors":[{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":707285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":707288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189968,"text":"70189968 - 2015 - Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California","interactions":[],"lastModifiedDate":"2017-07-31T07:30:24","indexId":"70189968","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California","docAbstract":"Rapid onset natural disasters such as large landslides create a need for scientific information about the event, which is vital to ensuring public safety, restoring infrastructure, preventing additional damage, and resuming normal economic activity. At the same time, there is limited data available upon which to base reliable scientific responses. Monitoring movement and modeling runout are mechanisms for gaining vital data and reducing the uncertainty created about a rapid onset natural disaster. We examine the effectiveness of this approach during the 2006 Ferguson rock slide disaster, which severed California Highway 140. Even after construction of a bypass restoring normal access to the community of El Portal, CA and a major entrance to Yosemite National Park, significant scientific questions remained. The most important for the affected public and emergency service agencies was the likelihood that access would again be severed during the impending rainy season and the possibility of a landslide dam blocking flow in the Merced River. Real-time monitoring of the Ferguson rock slide yielded clear information on the continuing movement of the rock slide and its implications for emergency response actions. Similarly, simulation of runout deposits using a physically based model together with volumes and slope steepness information demonstrated the conditions necessary for a landslide dam-forming event and the possible consequences of such an event given the dimensions of potential rock slide deposits.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-014-1518-4","usgsCitation":"De Graff, J.V., Gallegos, A.J., Reid, M.E., Lahusen, R.G., and Denlinger, R.P., 2015, Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California: Natural Hazards, v. 76, no. 2, p. 769-789, https://doi.org/10.1007/s11069-014-1518-4.","productDescription":"21 p.","startPage":"769","endPage":"789","ipdsId":"IP-055872","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Merced Canyon","volume":"76","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-28","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789350","contributors":{"authors":[{"text":"De Graff, Jerome V.","contributorId":195393,"corporation":false,"usgs":false,"family":"De Graff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":706930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Alan J.","contributorId":49094,"corporation":false,"usgs":true,"family":"Gallegos","given":"Alan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":706931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lahusen, Richard G. rlahusen@usgs.gov","contributorId":535,"corporation":false,"usgs":true,"family":"Lahusen","given":"Richard","email":"rlahusen@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706929,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190012,"text":"70190012 - 2015 - Sedimentology of SPICE (Steptoean positive carbon isotope excursion): A high-resolution trace fossil and microfabric analysis of the middle to late Cambrian Alum Shale Formation, southern Sweden","interactions":[],"lastModifiedDate":"2017-08-03T07:07:18","indexId":"70190012","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sedimentology of SPICE (Steptoean positive carbon isotope excursion): A high-resolution trace fossil and microfabric analysis of the middle to late Cambrian Alum Shale Formation, southern Sweden","docAbstract":"The Cambrian Alum Shale Formation in the Andrarum-3 core from Scania, southern Sweden, consists of black siliciclastic mudstone with minor carbonate intercalations. Four facies comprise three siliciclastic mudstones and one fine-grained carbonate. The facies reflect deposition along a transect from deep ramp to basin on a Cambrian shelf. The three mudstone facies contain abundant clay clasts and laterally variable siltstone laminae. Bed-load transport processes seem to have dominated deposition on this deep shelf. These sedimentary rocks record mainly event deposition, and only relatively few, thin laminae probably resulted from suspension settling. The Alum Shale Formation deep shelf did not show a bioturbation gradient, but fecal strings are common and Planolites burrows are rare in all mudstone facies. Evidence for biotic colonization indicates that this mudstone environment was not persistently anoxic, but rather was most likely intermittently dysoxic. The Alum Shale Formation in the Andrarum-3 core shows an overall decrease of grain size, preserved energy indicators, and carbonate content upsection interpreted to reflect a deepening upward. The succession can also be divided into four small-scale fining-upward cycles that represent deepening, and four overlying coarsening-upward cycles that represent upward shallowing.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Paying Attention to Mudrocks: Priceless!","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2515(05)","usgsCitation":"Egenhoff, S., Fishman, N., Ahlberg, P., Maletz, J., Jackson, A., Kolte, K., Lowers, H.A., Mackie, J., Newby, W., and Petrowsky, M., 2015, Sedimentology of SPICE (Steptoean positive carbon isotope excursion): A high-resolution trace fossil and microfabric analysis of the middle to late Cambrian Alum Shale Formation, southern Sweden, chap. of Paying Attention to Mudrocks: Priceless!, v. 515, p. 87-102, https://doi.org/10.1130/2015.2515(05).","productDescription":"26 p.","startPage":"87","endPage":"102","ipdsId":"IP-045590","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":344544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Sweden","volume":"515","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5984364be4b0e2f5d46653da","contributors":{"authors":[{"text":"Egenhoff, Sven","contributorId":195466,"corporation":false,"usgs":false,"family":"Egenhoff","given":"Sven","affiliations":[],"preferred":false,"id":707156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fishman, Neil","contributorId":145906,"corporation":false,"usgs":false,"family":"Fishman","given":"Neil","affiliations":[{"id":16290,"text":"Hess Corporation, Houston, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":707157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahlberg, Per","contributorId":195467,"corporation":false,"usgs":false,"family":"Ahlberg","given":"Per","email":"","affiliations":[],"preferred":false,"id":707158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maletz, Jorg","contributorId":195468,"corporation":false,"usgs":false,"family":"Maletz","given":"Jorg","email":"","affiliations":[],"preferred":false,"id":707159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Allison","contributorId":195469,"corporation":false,"usgs":false,"family":"Jackson","given":"Allison","email":"","affiliations":[],"preferred":false,"id":707160,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolte, Ketki","contributorId":195470,"corporation":false,"usgs":false,"family":"Kolte","given":"Ketki","email":"","affiliations":[],"preferred":false,"id":707161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":707155,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mackie, James","contributorId":195471,"corporation":false,"usgs":false,"family":"Mackie","given":"James","email":"","affiliations":[],"preferred":false,"id":707162,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Newby, Warren","contributorId":195472,"corporation":false,"usgs":false,"family":"Newby","given":"Warren","email":"","affiliations":[],"preferred":false,"id":707163,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Petrowsky, Matthew","contributorId":195473,"corporation":false,"usgs":false,"family":"Petrowsky","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":707164,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70188317,"text":"70188317 - 2015 - The challenges of remote monitoring of wetlands","interactions":[],"lastModifiedDate":"2017-06-06T10:44:23","indexId":"70188317","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The challenges of remote monitoring of wetlands","docAbstract":"Wetlands are highly productive and support a wide variety of ecosystem goods and services. Various forms of global change impose compelling needs for timely and reliable information on the status of wetlands worldwide, but several characteristics of wetlands make them challenging to monitor remotely: they lack a single, unifying land-cover feature; they tend to be highly dynamic and their energy signatures are constantly changing; and steep environmental gradients in and around wetlands produce narrow ecotones that often are below the resolving capacity of remote sensors. These challenges and needs set the context for a special issue focused on wetland remote sensing. Contributed papers responded to one of three overarching questions aimed at improving remote, large-area monitoring of wetlands: (1) What approaches and data products are being developed specifically to support regional to global long-term monitoring of wetland landscapes? (2) What are the promising new technologies and sensor/multisensor approaches for more accurate and consistent detection of wetlands? (3) Are there studies that demonstrate how remote long-term monitoring of wetland landscapes can reveal changes that correspond with changes in land cover and land use and/or changes in climate?
","language":"English","publisher":"MDPI","doi":"10.3390/rs70810938","usgsCitation":"Gallant, A.L., 2015, The challenges of remote monitoring of wetlands: Remote Sensing, v. 7, no. 8, p. 10938-10950, https://doi.org/10.3390/rs70810938.","productDescription":"13 p.","startPage":"10938","endPage":"10950","ipdsId":"IP-068289","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70810938","text":"Publisher Index Page"},{"id":342136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"5937bf2ee4b0f6c2d0d9c76b","contributors":{"authors":[{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697190,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70154756,"text":"70154756 - 2015 - Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado","interactions":[],"lastModifiedDate":"2017-05-08T15:49:48","indexId":"70154756","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado","docAbstract":"The U.S. Bureau of Reclamation (USBR) and local stakeholder groups are evaluating reservoir-management strategies within Paonia Reservoir. This small reservoir fills to capacity each spring and requires approximately half of the snowmelt-runoff volume from its sediment-laden source waters, Muddy Creek. The U.S. Geological Survey is currently conducting high-resolution (15-minute data-recording interval) sediment monitoring to characterize incoming and outgoing sediment flux during reservoir operations at two sites on Muddy Creek. The high-resolution monitoring is being used to establish current rates of reservoir sedimentation, support USBR sediment transport and storage models, and assess the viability of water-storage recovery in Paonia Reservoir. These sites are equipped with in situ, single-frequency, side-looking acoustic Doppler current meters in conjunction with turbidity sensors to monitor sediment flux. This project serves as a demonstration of the capability of using surrogate techniques to predict suspended-sediment concentrations in small streams (less than 20 meters in width and 2 meters in depth). These two sites provide the ability to report near real-time suspended-sediment concentrations through the U.S. Geological Survey National Water Information System (NWIS) web interface and National Real-Time Water Quality websites (NRTWQ) to aid in reservoir operations and assessments.
","conferenceTitle":"10th Federal Interagency Sedimentation Conference / 5th Federal Interagency Hydrologic Modeling Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","usgsCitation":"Williams, C.A., Richards, R.J., and Collins, K.L., 2015, Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado, 10th Federal Interagency Sedimentation Conference / 5th Federal Interagency Hydrologic Modeling Conference, Reno, NV, April 19-23, 2015, 11 p.","productDescription":"11 p.","ipdsId":"IP-061300","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":340960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340958,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/openconf/modules/request.php?module=oc_program&action=summary.php&id=235"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.89373779296875,\n 38.515937313413474\n ],\n [\n -107.2430419921875,\n 38.515937313413474\n ],\n [\n -107.2430419921875,\n 39.31942523123949\n ],\n [\n -108.89373779296875,\n 39.31942523123949\n ],\n [\n -108.89373779296875,\n 38.515937313413474\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b5e4b0e541a03c1a68","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Kent L.","contributorId":51179,"corporation":false,"usgs":true,"family":"Collins","given":"Kent","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":563977,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186944,"text":"70186944 - 2015 - Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8","interactions":[],"lastModifiedDate":"2017-04-17T09:20:42","indexId":"70186944","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8","docAbstract":"Before 1985, Mexico lacked civil-protection agencies with a mission to prevent and respond to natural and human-caused disasters; thus, the government was unprepared for the sudden eruption of El Chichón Volcano in March–April 1982, which produced the deadliest volcanic disaster in the country’s recorded history (~2,000 fatalities). With the sobering lessons of El Chichón still fresh, scientists and governmental officials had a higher awareness of possible disastrous outcome when Tacaná Volcano began to exhibit unrest in late 1985. Seismic and geochemical studies were quickly initiated to monitor activity. At the same time, scientists worked actively with officials of the Federal and local agencies to develop the “Plan Operativo” (Operational Plan)—expressly designed to effectively communicate hazards information and reduce confusion and panic among the affected population. Even though the volcano-monitoring data obtained during the Tacaná crisis were limited, when used in conjunction with protocols of the Operational Plan, they proved useful in mitigating risk and easing public anxiety. While comprehensive monitoring is not yet available, both El Chichón and Tacaná volcanoes are currently monitored—seismically and geochemically—within the scientific and economic resources available. Numerous post-eruption studies have generated new insights into the volcanic systems that have been factored into subsequent volcano monitoring and hazards assessments. The State of Chiapas is now much better positioned to deal with any future unrest or eruptive activity at El Chichón or Tacaná, both of which at the moment are quiescent as of 2014. Perhaps more importantly, the protocols first tested in 1986 at Tacaná have served as the basis for the development of risk-management practices for hazards from other active and potentially active volcanoes in Mexico. These practices have been most notably employed since 1994 at Volcán Popocatépetl since a major eruption under unfavorable prevailing winds may constitute a substantial threat to densely populated metropolitan Mexico City. While the 1982 El Chichón disaster was a national tragedy, it greatly accelerated volcanic emergency preparedness and multidisciplinary scientific studies of eruptive processes and products, not only at El Chichón but also at other explosive volcanoes in Mexico and elsewhere in the world.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Active Volcanoes of Chiapas (Mexico): El Chichón and Tacaná","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/978-3-642-25890-9_8","usgsCitation":"De la Cruz-Reyna, S., and Tilling, R.I., 2015, Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8, chap. of Active Volcanoes of Chiapas (Mexico): El Chichón and Tacaná, p. 155-174, https://doi.org/10.1007/978-3-642-25890-9_8.","productDescription":"20 p.","startPage":"155","endPage":"174","ipdsId":"IP-037115","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":339780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Chiapas","otherGeospatial":"El Chichón Volcano, Tacaná Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5,\n 13\n ],\n [\n -86,\n 13\n ],\n [\n -86,\n 23\n ],\n [\n -105.5,\n 23\n ],\n [\n -105.5,\n 13\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-26","publicationStatus":"PW","scienceBaseUri":"58f5d442e4b0f2e20545e41d","contributors":{"authors":[{"text":"De la Cruz-Reyna, Servando","contributorId":67650,"corporation":false,"usgs":true,"family":"De la Cruz-Reyna","given":"Servando","email":"","affiliations":[],"preferred":false,"id":691187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tilling, Robert I. 0000-0003-4263-7221 rtilling@usgs.gov","orcid":"https://orcid.org/0000-0003-4263-7221","contributorId":2567,"corporation":false,"usgs":true,"family":"Tilling","given":"Robert","email":"rtilling@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":691102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189946,"text":"70189946 - 2015 - Baseline and premining geochemical characterization of mined sites","interactions":[],"lastModifiedDate":"2017-07-31T13:35:46","indexId":"70189946","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Baseline and premining geochemical characterization of mined sites","docAbstract":"A rational goal for environmental restoration of new, active, or inactive mine sites would be ‘natural background’ or the environmental conditions that existed before any mining activities or other related anthropogenic activities. In a strictly technical sense, there is no such thing as natural background (or entirely non-anthropogenic) existing today because there is no part of the planet earth that has not had at least some chemical disturbance from anthropogenic activities. Hence, the terms ‘baseline’ and ‘pre-mining’ are preferred to describe these conditions. Baseline conditions are those that existed at the time of the characterization which could be pre-mining, during mining, or post-mining. Protocols for geochemically characterizing pre-mining conditions are not well-documented for sites already mined but there are two approaches that seem most direct and least ambiguous. One is characterization of analog sites along with judicious application of geochemical modeling. The other is reactive-transport modeling (based on careful synoptic sampling with tracer-injection) and subtracting inputs from known mining and mineral processing. Several examples of acidic drainage are described from around the world documenting the range of water compositions produced from pyrite oxidation in the absence of mining. These analog sites provide insight to the processes forming mineralized waters in areas untouched by mining. Natural analog water-chemistry data is compared with the higher metal concentrations, metal fluxes, and weathering rates found in mined areas in the few places where comparisons are possible. The differences are generally 1–3 orders of magnitude higher for acid mine drainage.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.12.010","usgsCitation":"Nordstrom, D.K., 2015, Baseline and premining geochemical characterization of mined sites: Applied Geochemistry, v. 57, p. 17-34, https://doi.org/10.1016/j.apgeochem.2014.12.010.","productDescription":"18 p.","startPage":"17","endPage":"34","ipdsId":"IP-061799","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789358","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":706847,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189125,"text":"70189125 - 2015 - A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”","interactions":[],"lastModifiedDate":"2021-06-04T16:04:14.96278","indexId":"70189125","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”","docAbstract":"We appreciate the conversation put forward by Iversen et al. (2015) in their response to our article “Quantification of eDNA shedding rates from invasive bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix” in the 2015 environmental DNA special issue of Biological Conservation.
We agree with Iversen et al.'s concern about overly optimistic conclusions that could be drawn from the current eDNA literature. One hope for eDNA technology is that it can be used in estimating abundance or population density. Evidence suggests that eDNA measurements correlate with total biomass (Takahara et al., 2012) rather than abundance. We demonstrate a similar relationship between biomass and eDNA shedding rates. Nevertheless, without field testing of these methods and specific survey protocols, we cannot make strong conclusions regarding the technique's field applicability. In our manuscript, we attempted to point out areas in which more research is needed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2015.09.025","usgsCitation":"Klymus, K.E., Richter, C.A., Chapman, D., and Paukert, C.P., 2015, A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”: Biological Conservation, v. 192, p. 481-482, https://doi.org/10.1016/j.biocon.2015.09.025.","productDescription":"2 p.","startPage":"481","endPage":"482","ipdsId":"IP-068606","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":343228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576336e4b0d1f9f051b518","contributors":{"authors":[{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":703083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":703084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148141,"text":"sir20155074 - 2015 - Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington","interactions":[],"lastModifiedDate":"2016-02-17T12:18:48","indexId":"sir20155074","displayToPublicDate":"2015-06-15T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5074","title":"Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington","docAbstract":"Nutrients such as nitrogen and phosphorus are important for aquatic ecosystem health. Excessive amounts of nutrients, however, can make aquatic ecosystems harmful for biota because enhanced growth and decay cycles of aquatic algae can reduce dissolved oxygen in the water. In Puget Sound marine waters, low dissolved oxygen concentrations are observed in a number of marine nearshore areas, and nutrients have been identified as a major stressor to the local ecosystem. Delivery of nutrients from major rivers in the Puget Sound Basin to the marine environment can be large. Therefore, it is important to identify factors related to how nutrients are retained (attenuated) within streams and rivers in the Puget Sound Basin. Physical, chemical, and biological factors related to nutrient attenuation were identified through a review of related scientific literature.
\nNumerous empirical modeling approaches for estimating nutrient attenuation in streams and rivers also were compiled, and a subset of these models was applied to the Puget Sound Basin. In particular, models based on the physical characteristics of a river reach (RivR-N model) and on the physical and biological features of a river reach (vf model) were used and compared for the 17 major rivers draining to the Puget Sound. Data on the relative amount of instream attenuation (the fraction of nutrient input removed per kilometer of stream reach) showed some common and general themes. Firstly, headwater reaches throughout the Puget Sound Basin tend to be better than the main stems of the major rivers at attenuating nitrate and orthophosphorus (ortho-P). Secondly, rivers are more efficient at attenuating nitrate than ortho-P, probably because of the close relation between phosphorus and suspended sediment, which was not captured fully in the models. Thirdly, when comparing the RivR-N and vf models for nitrate, physical characteristics of the channel may be more effective predictors of relative nitrate attenuation for main stem reaches, whereas biological factors may be more effective predictors in headwater reaches. These results are explained in terms of four primary factors of attenuation: sinuosity, channel slope, specific discharge, and uptake velocity (vf) of the reach.
\nA simple scoring procedure based on these four factors showed that reaches where attenuation scores were high had higher relative attenuation of nutrients from the RivR-N and vf models. This attenuation \"scorecard\" can be used to quickly assess the potential for a given reach to attenuate nutrients. Seasonal relative attenuation at three case studies was greater in summer months (July through September) and much lower and almost constant from January through June. An analysis of relative attenuation across a range of nutrient concentrations showed that, at some point, relative instream attenuation is minimized. For nitrate, relative attenuation reached a minimum value greater than 3 milligrams of nitrogen per liter (mg N/L) during low flow and 1 mg N/L during high flow. For orthophosphate, minimum relative attenuation was observed at about 0.1 milligram of phosphorus per liter (mg P/L) for both low- and high-flow conditions. Generally, the temporal dynamics of nutrient attenuation are dependent on the travel time through a given reach, the proportion of flow in contact with the sediment, and the amount of biological activity. Improved understanding of nutrient attenuation in Puget Sound Basin will benefit from the compilation of more detailed data for specific discharge, channel slope, and channel sinuosity in Puget Sound streams and rivers. Additionally, field studies examining upstream-downstream changes in nutrient load and field-based measurements of vf are needed.
\nFrom a management perspective, preservation and improvement of instream nutrient attenuation should focus on increasing the travel time through a reach and contact time of water sediment (reactive) surfaces and lowering nutrient concentrations (and loads) to avoid saturation of instream attenuation and increase attenuation efficiency. These goals can be reached by maintaining and restoring channel-flood plain connectivity, maintaining and restoring healthy riparian zones along streams, managing point and nonpoint nutrient loads to streams and rivers, and restoring channel features that promote attenuation such as the addition of woody debris and maintaining pool-riffle morphologies. Many of these management approaches are already being undertaken during projects aimed to restore quality salmon habitat. Therefore, there is a dual benefit to these projects that also may lead to enhanced potential for nitrogen and phosphorus attenuation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155074","collaboration":"Prepared in cooperation with the Washington State Department of Ecology","usgsCitation":"Sheibley, R.W., Konrad, C.P., and Black, R.W., 2015, Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington (Version 1.0: Originally posted June 15, 2015; Version 1.1: February 2016): U.S. Geological Survey Scientific Investigations Report 2015-5074, vii, 67 p., https://doi.org/10.3133/sir20155074.","productDescription":"vii, 67 p.","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061211","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":301233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155074.PNG"},{"id":301231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5074/"},{"id":301232,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5074/pdf/sir20155074.pdf","text":"Report","size":"25.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5074 Report"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.87109375,\n 48.980216985374994\n ],\n [\n -122.58544921875,\n 48.58932584966972\n ],\n [\n -123.00292968749999,\n 48.38544219115486\n ],\n [\n -123.00292968749999,\n 48.10743118848039\n ],\n [\n -123.92578125,\n 48.21003212234042\n ],\n [\n -124.34326171874999,\n 48.3416461723746\n ],\n [\n -124.71679687499999,\n 48.45835188280866\n ],\n [\n -124.87060546874999,\n 48.1367666796927\n ],\n [\n -124.62890625,\n 47.76886840424207\n ],\n [\n -124.49707031249999,\n 47.487513008956554\n ],\n [\n -124.34326171874999,\n 47.15984001304432\n ],\n [\n -124.23339843749999,\n 46.89023157359399\n ],\n [\n -124.16748046874999,\n 46.63435070293566\n ],\n [\n -124.1455078125,\n 46.28622391806708\n ],\n [\n -119.2236328125,\n 46.27103747280261\n ],\n [\n -119.13574218749999,\n 48.980216985374994\n ],\n [\n -122.87109375,\n 48.980216985374994\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted June 15, 2015; Version 1.1: February 2016","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557fe91be4b023124e8ef92c","contributors":{"authors":[{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148563,"text":"ofr20141237 - 2015 - Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2014","interactions":[],"lastModifiedDate":"2015-10-27T18:40:25","indexId":"ofr20141237","displayToPublicDate":"2015-06-15T09:45:00","publicationYear":"2015","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":"2014-1237","title":"Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2014","docAbstract":"Significant Findings
\nAn analysis of total-dissolved-gas (TDG) and water-temperature data collected at eight fixed monitoring stations on the lower Columbia River in Oregon and Washington in water year 2014 indicated the following:
\n\n- All 81 TDG sensor laboratory checks that were performed after field deployment were within plus or minus (±) 0.5-percent saturation of a primary standard.
\n- After 3-4 weeks of deployment in the river, 68 of 75 TDG sensor field checks were within ±1.0-percent saturation of a secondary standard. Six of the field checks greater than ±1.0-percent saturation occurred at the John Day tailwater station, and three of these six checks resulted in periods of deleted data at the station.
\n- All 77 barometric pressure field checks were within ±1 millimeter of mercury of a primary standard, and all 74 water-temperature field checks were within ±0.2 degrees Celsius of a secondary standard.
\n- TDG data were considered complete if they were received in real time and were within 1-percent saturation of the expected value on the basis of calibration data, replicate quality-control measurements, and comparison to river conditions at adjacent stations. For the eight monitoring stations, data completeness ranged from 78.2 to 100 percent.
\n- All quality-assurance values exceed the criteria established by the U.S. Army Corps of Engineers TDG monitoring plan. Criteria for data completeness (95 percent) were met at six of the eight monitoring stations. Deleted data at the John Day tailwater station and missed transmissions at the Camas station resulted in data completeness below criteria.
\n
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141237","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Bragg, H., and Johnston, M.W., 2015, Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2014: U.S. Geological Survey Open-File Report 2014-1237, vi, 26 p., https://doi.org/10.3133/ofr20141237.","productDescription":"vi, 26 p.","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061155","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":301217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141237.jpg"},{"id":301216,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1237/pdf/ofr20141237.pdf","text":"Report","size":"4.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1237 Report"},{"id":301210,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1237/"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Lower Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.48657226562499,\n 45.61403741135093\n ],\n [\n -122.18994140624999,\n 45.644768217751924\n ],\n [\n -121.86035156249999,\n 45.740693395533064\n ],\n [\n -121.53625488281249,\n 45.75985868785574\n ],\n [\n -121.2176513671875,\n 45.729191061299936\n ],\n [\n -121.0638427734375,\n 45.68315803253308\n ],\n [\n -120.7452392578125,\n 45.77135470445036\n ],\n [\n -120.56945800781249,\n 45.786679041363726\n ],\n [\n -120.4046630859375,\n 45.706179285330855\n ],\n [\n -120.45959472656249,\n 45.644768217751924\n ],\n [\n -120.66284179687499,\n 45.66780526567164\n ],\n [\n -120.92651367187499,\n 45.598665689820656\n ],\n [\n -121.19567871093751,\n 45.54867850352087\n ],\n [\n -121.3275146484375,\n 45.65628792636447\n ],\n [\n -121.761474609375,\n 45.63324613981234\n ],\n [\n -122.1844482421875,\n 45.521743896993634\n ],\n [\n -122.76672363281249,\n 45.471688258104614\n ],\n [\n -122.89306640624999,\n 45.706179285330855\n ],\n [\n -122.93701171874999,\n 45.98169518512228\n ],\n [\n -122.9974365234375,\n 46.09609080214316\n ],\n [\n -123.1842041015625,\n 46.145588688591964\n ],\n [\n -123.1622314453125,\n 46.195042108660154\n ],\n [\n -122.92602539062501,\n 46.20264638061019\n ],\n [\n -122.794189453125,\n 46.06560846138691\n ],\n [\n -122.5909423828125,\n 45.775186183521036\n ],\n [\n -122.48657226562499,\n 45.61403741135093\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557fe91ee4b023124e8ef92e","contributors":{"authors":[{"text":"Bragg, Heather M. hmbragg@usgs.gov","contributorId":428,"corporation":false,"usgs":true,"family":"Bragg","given":"Heather M.","email":"hmbragg@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Matthew W. mattj@usgs.gov","contributorId":3066,"corporation":false,"usgs":true,"family":"Johnston","given":"Matthew","email":"mattj@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155905,"text":"70155905 - 2015 - Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2020-12-10T13:25:38.079996","indexId":"70155905","displayToPublicDate":"2015-06-15T01:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin","docAbstract":"\n
Study region
\n
The study region encompasses the Upper Colorado River Basin (UCRB), which provides water for 40 million people and is a vital part of the water supply in the western U.S.
\n
Study focus
\n
Groundwater and surface water can be considered a single water resource and thus it is important to understand groundwater contributions to streamflow, or baseflow, within a region. Previously, quantification of baseflow using chemical mass balance at large numbers of sites was not possible because of data limitations. A new method using regression-derived daily specific conductance values with conductivity mass balance hydrograph separation allows for baseflow estimation at sites across large regions. This method was applied to estimate baseflow discharge at 229 sites across the UCRB. Subsequently, climate, soil, topography, and land cover characteristics were statistically evaluated using principal component analysis (PCA) to determine their influence on baseflow discharge.
\n
New hydrological insights for the region
\n
Results suggest that approximately half of the streamflow in the UCRB is baseflow derived from groundwater discharge to streams. Higher baseflow yields typically occur in upper elevation areas of the UCRB. PCA identified precipitation, snow, sand content of soils, elevation, land surface slope, percent grasslands, and percent natural barren lands as being positively correlated with baseflow yield; whereas temperature, potential evapotranspiration, silt and clay content of soils, percent agriculture, and percent shrublands were negatively correlated with baseflow yield.
\n
Ecosystem services are at a crossroad. The natural capital needed to produce them is diminishing (Millennium Ecosystem Assessment, 2005). At the same time, the science relating to their identification, production, and valuation is advancing. Examples of ecosystem services applications are abundant in the literature. In addition, the concept of ecosystem services and its applications are attracting attention and are becoming more visible. The concept of ecosystem services, however, is still not routinely applied to many natural resource management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2015.04.001","usgsCitation":"Shapiro, C.D., Arthaud, G., Casey, F., and Hogan, D.M., 2015, Ecosystem services science, practice, and policy: Perspectives from ACES, A Community on Ecosystem Services: Ecological Economics, v. 115, p. 1-2, https://doi.org/10.1016/j.ecolecon.2015.04.001.","productDescription":"2 p.","startPage":"1","endPage":"2","ipdsId":"IP-064733","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":354222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeeb6de4b0da30c1bfc671","contributors":{"authors":[{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":735531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arthaud, Greg","contributorId":48269,"corporation":false,"usgs":true,"family":"Arthaud","given":"Greg","email":"","affiliations":[],"preferred":false,"id":735532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casey, Frank ccasey@usgs.gov","contributorId":4188,"corporation":false,"usgs":true,"family":"Casey","given":"Frank","email":"ccasey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":735533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":735534,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173551,"text":"70173551 - 2015 - Sampling techniques for burbot in a western non-wadeable river","interactions":[],"lastModifiedDate":"2016-06-13T16:22:40","indexId":"70173551","displayToPublicDate":"2015-06-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sampling techniques for burbot in a western non-wadeable river","docAbstract":"Burbot, Lota lota (L.), populations are declining throughout much of their native distribution. Although numerous aspects of burbot ecology are well understood, less is known about effective sampling techniques for burbot in lotic systems. Occupancy models were used to estimate the probability of detection (![\"inline](\"http://onlinelibrary.wiley.com/store/10.1111/fme.12118/asset/equation/fme12118-math-0001.png?v=1&t=ipeiwb9x&s=fe4ed3869fb301b5147702a271dc09f79f467a27\")
) for three gears (6.4- and 19-mm bar mesh hoop nets, night electric fishing), within the context of various habitat characteristics. During the summer, night electric fishing had the highest estimated detection probability for both juvenile (![\"inline](\"http://onlinelibrary.wiley.com/store/10.1111/fme.12118/asset/equation/fme12118-math-0002.png?v=1&t=ipeiwb9y&s=49f6470047433ac9183166678ea530148aa2871b\")
, 95% C.I.; 0.35, 0.26–0.46) and adult (0.30, 0.20–0.41) burbot. However, small-mesh hoop nets (6.4-mm bar mesh) had similar detection probabilities to night electric fishing for both juvenile (0.26, 0.17–0.36) and adult (0.27, 0.18–0.39) burbot during the summer. In autumn, a similar overlap between detection probabilities was observed for juvenile and adult burbot. Small-mesh hoop nets had the highest estimated probability of detection for both juvenile and adult burbot (0.46, 0.33–0.59), whereas night electric fishing had a detection probability of 0.39 (0.28–0.52) for juvenile and adult burbot. By using detection probabilities to compare gears, the most effective sampling technique can be identified, leading to increased species detections and more effective management of burbot.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/fme.12118","usgsCitation":"Klein, Z.B., Quist, M.C., Rhea, D., and Senecal, A., 2015, Sampling techniques for burbot in a western non-wadeable river: Fisheries Management and Ecology, v. 22, no. 3, p. 213-223, https://doi.org/10.1111/fme.12118.","productDescription":"11 p.","startPage":"213","endPage":"223","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-21","publicationStatus":"PW","scienceBaseUri":"575fd930e4b04f417c2baa73","contributors":{"authors":[{"text":"Klein, Z. B.","contributorId":171782,"corporation":false,"usgs":false,"family":"Klein","given":"Z.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhea, D.T.","contributorId":90930,"corporation":false,"usgs":true,"family":"Rhea","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":638624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senecal, A. C.","contributorId":171783,"corporation":false,"usgs":false,"family":"Senecal","given":"A. C.","affiliations":[],"preferred":false,"id":638625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70162583,"text":"70162583 - 2015 - Geologic and geomorphic controls on the occurrence of fens in the Oregon Cascades and implications for vulnerability and conservation","interactions":[],"lastModifiedDate":"2019-04-25T09:09:53","indexId":"70162583","displayToPublicDate":"2015-06-13T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Geologic and geomorphic controls on the occurrence of fens in the Oregon Cascades and implications for vulnerability and conservation","docAbstract":"Montane fens are biologically diverse peat-forming wetlands that develop at points of groundwater discharge. To protect these ecosystems, it is critical to understand their locations on the landscape and the hydrogeologic systems that support them. The upper Deschutes Basin has a groundwater flow system that supports baseflow in many rivers, but little is known about the wetland types and groundwater dependence of the thousands of wetlands within the watershed. In 292 randomly selected wetlands, we quantified landscape metrics thought useful for discriminating montane fens from non-peat-forming wetlands. We inspected these wetlands and classified 67 of them as fens. Of the landscape metrics, only geology reliably differentiated fens from other types of wetlands. Nearly all fens develop in low-permeability glacial till found at approximately 1400–1800 m in elevation, and are concentrated in areas mantled by pumice deposits that originated primarily from the eruption of Mt. Mazama approximately 7700 years BP. Stratigraphic and hydrologic factors indicate the fens are supplied by perched aquifers in glacial till, instead of the deeper regional aquifer system. Their hydrogeologic setting makes the fens highly vulnerable to expected changes to recharge associated with climate change, but not to groundwater pumping from the regional aquifer.
","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"McClean, VA","doi":"10.1007/s13157-015-0667-x","usgsCitation":"Aldous, A., Gannett, M.W., Keith, M., and O'Connor, J., 2015, Geologic and geomorphic controls on the occurrence of fens in the Oregon Cascades and implications for vulnerability and conservation: Wetlands, v. 35, no. 4, p. 757-767, https://doi.org/10.1007/s13157-015-0667-x.","productDescription":"11 p.","startPage":"757","endPage":"767","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057994","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":314922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.42663574218749,\n 44.33956524809713\n ],\n [\n -120.42663574218749,\n 44.64911632343077\n ],\n [\n -120.87158203125,\n 45.089035564831015\n ],\n [\n -121.4208984375,\n 45.02695045318546\n ],\n [\n -121.7340087890625,\n 44.92591837128869\n ],\n [\n -121.761474609375,\n 44.31205742666618\n ],\n [\n -121.81640624999999,\n 43.92559366355069\n ],\n [\n -121.89331054687499,\n 43.492782808225\n ],\n [\n -121.34948730468749,\n 43.30119623257966\n ],\n [\n -120.7452392578125,\n 43.50075243569041\n ],\n [\n -120.5419921875,\n 43.96119063892024\n ],\n [\n -120.42663574218749,\n 44.33956524809713\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-13","publicationStatus":"PW","scienceBaseUri":"56a9f844e4b012c193aa3eca","contributors":{"authors":[{"text":"Aldous, A.","contributorId":105517,"corporation":false,"usgs":true,"family":"Aldous","given":"A.","email":"","affiliations":[],"preferred":false,"id":589937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keith, Mackenzie K. mkeith@usgs.gov","contributorId":4140,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":589938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":589939,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148140,"text":"ofr20151077 - 2015 - Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003","interactions":[],"lastModifiedDate":"2015-06-12T13:42:06","indexId":"ofr20151077","displayToPublicDate":"2015-06-12T14:30:00","publicationYear":"2015","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":"2015-1077","title":"Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003","docAbstract":"Park management of the Whiskeytown National Recreation Area, in northwestern California, identified a critical need to determine if mercury (Hg) or other elements originating from abandoned mines within the Upper Clear Creek watershed were present at concentrations that might adversely affect aquatic biota living within the park. During 2002–03, the U.S. Geological Survey, in cooperation with the National Park Service, collected aquatic invertebrates, amphibians, and fish, and analyzed them for Hg, cadmium, zinc, copper, and other metals and trace elements. The data from the biota, in conjunction with data from concurrent community bioassessments, habitat analyses, water quality, and concentrations of metals and trace elements in water and sediment, were used to identify contamination “hot spots.”
\nIn 2002, we selected collection sites within the study area based on the presence of historical mines and results from sampling of bed sediment in 2001. In 2003, collection sites were selected based on sediment data as well as data on water and biota from this study in 2002. Eleven sites were sampled in both 2002 and 2003, 11 sites were sampled only in 2002, and 14 sites were sampled only in 2003.
\nComparisons of sites within the Upper Clear Creek watershed indicated that most of the more contaminated sites were outside of the park boundaries, especially at sites within the French Gulch, Cline Gulch, and Whiskey Creek watersheds. The site with the highest overall contamination within the park, based on both fish and invertebrate data, was WLCC, a site on Willow Creek impacted by acid mine drainage and listed as impaired under Section 303(d) of the Clean Water Act.
\nCompared with other recently evaluated mine-impacted watersheds in northern California, invertebrates, amphibians, and fish from sites within the Upper Clear Creek watershed tended to have significantly lower concentrations of Hg than at most other sites. For other metals and trace elements, Upper Clear Creek sites were only compared with the Deer Creek watershed, Nevada County, California. Copper from both Willow Creek sites (WLCC and WLTH) in the Clear Creek watershed was the only metal with concentrations in biota that were significantly higher than biota from Deer Creek
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151077","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hothem, R.L., May, J.T., Gibson, J.K., and Brussee, B.E., 2015, Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003: U.S. Geological Survey Open-File Report 2015-1077, Report: x, 64 p.; 6 Appendices, https://doi.org/10.3133/ofr20151077.","productDescription":"Report: x, 64 p.; 6 Appendices","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","ipdsId":"IP-062279","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":301207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151077.jpg"},{"id":301206,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix6.xlsx","text":"Appendix 6. Metals and trace elements in individual and composite samples of riffle sculpin, rainbow trout, and California roach","size":"87 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 6. Metals and trace elements in individual and composite samples of riffle sculpin, rainbow trout, and California roach"},{"id":301205,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix5.xlsx","text":"Appendix 5. Metals and trace elements in individual bullfrogs, Pacific chorus frogs, and foothill yellow-legged frogs","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 5. Metals and trace elements in individual bullfrogs, Pacific chorus frogs, and foothill yellow-legged frogs"},{"id":301199,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1077/"},{"id":301200,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1077/pdf/ofr20151077.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301201,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix1.xlsx","text":"Appendix 1. Metals and trace elements in invertebrate composites","size":"45 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1. Metals and trace elements in invertebrate composites"},{"id":301202,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix3.xlsx","text":"Appendix 3. Metals and trace elements in filtered and raw water samples","size":"52 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 3. Metals and trace elements in filtered and raw water samples"},{"id":301203,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix2.xlsx","text":"Appendix 2. Water-quality parameters","size":"79 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 2. Water-quality parameters"},{"id":301204,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix4.xlsx","text":"Appendix 4. Metals and trace elements in sediment samples","size":"115 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 4. Metals and trace elements in sediment samples"}],"country":"United States","state":"California","county":"Shasta County","otherGeospatial":"Whiskeytown National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.92053222656249,\n 40.45948689837198\n ],\n [\n -122.92053222656249,\n 41.072104440201606\n ],\n [\n -122.01141357421875,\n 41.072104440201606\n ],\n [\n -122.01141357421875,\n 40.45948689837198\n ],\n [\n -122.92053222656249,\n 40.45948689837198\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4a5e4b023124e8edde5","contributors":{"authors":[{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":547469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":547470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibson, Jennifer K.","contributorId":140892,"corporation":false,"usgs":false,"family":"Gibson","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":547471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":547472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148425,"text":"ds938 - 2015 - Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011","interactions":[],"lastModifiedDate":"2015-06-12T08:55:55","indexId":"ds938","displayToPublicDate":"2015-06-12T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"938","title":"Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011","docAbstract":"The water gun is a tool adapted from deep marine geophysical surveys that is being evaluated for use as an acoustic fish deterrent to control the movement of invasive marine species. The water gun creates a seismic signal by using a compressed air discharge to move a piston rapidly within the water, resulting in an implosion. This energy pulse may be able to modify fish behavior or destroy marine life, such as the Asian carp, at some distance. The effects of this energy pulse on structures in the Chicago Sanitary and Ship Canal (CSSC), such as canal walls, shore lines, and lock structures, are not known. The potential effects of the use of a water gun on structures was identified as a concern in the CSSC and was assessed relative to existing background sources during this study. During September 2011, two water guns with piston sizes of 80 and 343 cubic inches, respectively, were tested in the CSSC at varying pressures and distances from a canal wall consisting of dolomite and dolomite setblock. Seismic data were collected during these water gun firings using geophones on land, in boreholes, and at the canal wall interface. Data were collected at varying depths in the canal water using hydrophones. Seismic data were also collected during the occurrences of barge traffic, railroad traffic located near the electric fish barrier in Lemont, and coal-loading operations at a coal power plant near the electric fish barrier. In general, energy produced by barge and railroad sources was less than energy created by the water gun. Energy levels produced by coal-loading operations at least 200 feet from geophones were approximately four times lower than energy levels measured during water gun operations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds938","usgsCitation":"Morrow, W.S., Carpenter, P.J., and Adams, R.F., 2015, Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011: U.S. Geological Survey Data Series 938, Report: iv, 23 p.; Downloads Directory, https://doi.org/10.3133/ds938.","productDescription":"Report: iv, 23 p.; Downloads Directory","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-036766","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":301178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds938.jpg"},{"id":301175,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0938/"},{"id":301176,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0938/pdf/ds938.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301177,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0938/downloads","text":"Downloads Directory","linkHelpText":"Contains water gun and industrial background data files that were collected in September, October, and November 2011. Seismic data can be accessed through standard geophysical software capable of reading SEG-2 files. Software capable of reading SEG-2 format is also freely available and documented in U.S. Geological Survey (USGS) Open-File Report 03-141 (Ellefsen, 2003), available at http://pubs.usgs.gov/of/2003/ofr-03-141. Other open-source software, such as Geopsy (available at http://www.geopsy.org), are available to read SEG-2 formatted data."}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago Sanitary and Ship Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.07464599609375,\n 41.63545984052713\n ],\n [\n -88.07464599609375,\n 41.70521588311188\n ],\n [\n -87.97027587890624,\n 41.70521588311188\n ],\n [\n -87.97027587890624,\n 41.63545984052713\n ],\n [\n -88.07464599609375,\n 41.63545984052713\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4ace4b023124e8eddef","contributors":{"authors":[{"text":"Morrow, William S. 0000-0002-2250-3165 wsmorrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2250-3165","contributorId":1886,"corporation":false,"usgs":true,"family":"Morrow","given":"William","email":"wsmorrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Phillip J.","contributorId":141062,"corporation":false,"usgs":false,"family":"Carpenter","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":548196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Ryan F. 0000-0001-7299-329X rfadams@usgs.gov","orcid":"https://orcid.org/0000-0001-7299-329X","contributorId":5499,"corporation":false,"usgs":true,"family":"Adams","given":"Ryan","email":"rfadams@usgs.gov","middleInitial":"F.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70144268,"text":"sir20155025 - 2015 - Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","interactions":[],"lastModifiedDate":"2016-08-05T12:01:51","indexId":"sir20155025","displayToPublicDate":"2015-06-12T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5025","title":"Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","docAbstract":"In winter 2011–12 and summer 2012, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, Albuquerque District and the U.S. Fish and Wildlife Service New Mexico Fish and Wildlife Conservation Office in Albuquerque, New Mexico, evaluated the physical characteristics and fish assemblage composition of available mesohabitats over a range of streamflows at 15 sites on the Middle Rio Grande in New Mexico. The fish assemblage of the Middle Rio Grande includes several minnow species adapted to hydrologically variable but seasonably predictable rivers, including theHybognathus amarus (Rio Grande silvery minnow), a federally listed endangered species. Gaining a better understanding of habitat usage by the Rio Grande silvery minnow was the impetus for studying physical characteristics and fish assemblages in the Middle Rio Grande during different streamflow conditions. Data were collected at all 15 sites during winter 2011–12 (moderate streamflow), and a subset was collected at the 13 most downstream sites in summer 2012 (low streamflow). Sites were grouped into four river reaches separated by diversion dams listed in downstream order (names of the diversion dams are followed by short names of the sites nearest each dam in parentheses, listed in downstream order): (1) Cochiti (Peña Blanca), (2) Angostura (Bernalillo, La Orilla, Barelas, Los Padillas), (3) Isleta (Los Lunas I, Los Lunas II, Abeytas, La Joya, Rio Salado), and (4) San Acacia (Lemitar, Arroyo del Tajo, San Pedro, Bosque del Apache I, and Bosque del Apache II). Stream habitat was mapped in the field by using a geographic information system in conjunction with a Global Positioning System. Fish assemblage composition was determined during both streamflow regimes, and fish were collected by seining in each mesohabitat where physical characteristic data (depth, velocity, dominant substrate type and size, and percent embeddedness) and water-quality properties (temperature, dissolved oxygen, specific conductance, and pH; during summer 2012 only) were measured.
\nNineteen species of fish were collected among the 15 sites and four reaches over both sampling periods; 10 of these 19 species are introduced. Fish-species richness (total number of fish species collected at each site during each sampling event) among sites that were sampled during both sampling periods ranged from 6 at Rio Salado to 12 at La Orilla. Fish were most abundant at the Lemitar site (1,786 individuals) and least abundant at the San Pedro site (275 individuals). The native Cyprinella lutrensis (red shiner) was the most abundant species collected among all of the sites, accounting for about 42 percent of fish collected. Fish-species richness and catch per unit effort (CPUE) were higher (or equivalent) at all sites during summer 2012 compared to winter 2011–12.
\nThe relations between fish assemblage composition (that is, total abundance, which refers to the number of individuals of each species that were collected) and selected environmental variables (physical characteristic data collected at the mesohabitat scale [depth, velocity, and substrate particle size], and mesohabitat types) were explored by using canonical correspondence analysis. Environmental variables explained 8 percent (p=0.48) of the variability in the Middle Rio Grande fish assemblage during winter 2011–12, and Rio Grande silvery minnow were weakly associated with sand substrates, relatively moderate velocities (qualitative descriptors are derived from synthetic gradients extracted from CCAs), and relatively shallow depths. Environmental variables explained 14 percent (p < 0.01) of the variability in the Middle Rio Grande fish assemblage during summer 2012, when Rio Grande silvery minnow were associated with run mesohabitats, relatively high velocities, sand substrates, and relatively moderate depths.
\nThe mean fish-species richness was greater in summer 2012 than in winter 2011–12 for each mesohabitat type, and the overall fish-species richness across all mesohabitat types was 0.62 during winter 2011–12, compared to 1.49 during summer 2012. The highest mean CPUE during winter 2011–12 was in isolated pools (54.3 fish per 100 square meters [m2]), whereas the lowest was in flats (18.9 fish per 100 m2). Ranges in CPUE were higher in summer 2012 relative to winter 2011–12 in each mesohabitat type sampled. As in winter 2011–12, the highest mean CPUE during summer 2012 was in isolated pools (233 fish per 100 m2), whereas the lowest was in flats (29.6 fish per 100 m2). Overall mean CPUE per mesohabitat across all mesohabitat types was 29.1 fish per 100 m2 during winter 2011–12 compared to 85.3 fish per 100 m2 during summer 2012.
\nFour species of minnows (red shiner, Rio Grande silvery minnow, Pimephales promelas [fathead minnow], and Platygobio gracilis[flathead chub]) were selected to compare preferred mesohabitat characteristics because all are small-bodied minnows and because more than 200 individuals of each of these species were collected. Red shiner were collected across the largest range of depths in both winter 2011–12 (0.02–4.31 feet [ft]) and summer 2012 (0.05–3.4 ft), as well as the largest range of velocities (0.0–4.31 feet per second [ft/s]) during winter 2011–12 among the four minnow species of interest. Rio Grande silvery minnow occurred in the narrowest range of depths (0.30–2.1 ft) during summer 2012, as well as the narrowest range of velocities in both winter 2011–12 (0.0–3.18 ft/s) and summer 2012 (0.02–1.51 ft/s).
\nWater-quality properties were only collected during summer 2012, when low-streamflow conditions existed and water-quality properties were thought to be potentially most limiting to aquatic life. Area-weighted mean water temperatures tended to be higher at the sites that were sampled in August 2012 (25.57 degrees Celsius [°C]) compared to June 2012 (24.61 °C). The highest area-weighted mean water temperature at a given site (29.03 °C) was measured at the Lemitar site on August 7, 2012, coincident with the lowest measured discharge (4.13 cubic feet per second [ft3/s]). Area-weighted mean dissolved oxygen concentrations tended to be lower in August (7.46 milligrams per liter [mg/L]) compared to June (8.33 mg/L). The highest area-weighted mean dissolved oxygen concentration (9.13 mg/L) was measured at the Lemitar site on August 7, 2012, and the lowest area-weighted mean dissolved oxygen concentration (6.23 mg/L) was measured at the Los Padillas site on August 10, 2012. Area-weighted specific conductance in the sites upstream from La Joya did not exceed 400 microsiemens per centimeter (μS/cm) at 25 °C, whereas the area-weighted mean specific conductance at La Joya (837 μs/cm at 25 °C), Rio Salado (857 μs/cm at 25 °C), and Lemitar (1,300 μs/cm at 25 °C) were all well above the average of the area-weighted means for the 10 remaining sites (433 μs/cm at 25 °C). Lower area-weighted mean pH values were measured at the 3 sites in and near Albuquerque (La Orilla, Barelas, and Los Padillas—7.98, 8.08, and 7.81, respectively) compared to any of the 10 remaining sites, which had an overall mean pH of 8.44.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155025","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Albuquerque District, and the U.S. Fish and Wildlife Service","usgsCitation":"Braun, C.L., Pearson, D., Porter, M., and Moring, J.B., 2015, Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012: U.S. Geological Survey Scientific Investigations Report 2015-5025, Report: viii, 90 p.; Downloads Directory, https://doi.org/10.3133/sir20155025.","productDescription":"Report: viii, 90 p.; Downloads Directory","startPage":"90","numberOfPages":"102","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-056792","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":301190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155025.jpg"},{"id":301187,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5025/downloads/","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: geospatial database."},{"id":301160,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5025/"},{"id":301186,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5025/pdf/sir2015-5025.pdf","text":"Report","size":"6.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Transverse Mercator Zone 13 projection","datum":"North American Datum of 1983","country":"United States","state":"New Mexico","otherGeospatial":"Middle Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.32396697998047,\n 35.63051198300061\n ],\n [\n -106.31675720214844,\n 35.61683738705965\n ],\n [\n -106.35417938232422,\n 35.53278501016141\n ],\n [\n -106.39949798583984,\n 35.46598295825904\n ],\n [\n -106.4798355102539,\n 35.383451974194934\n ],\n [\n -106.55708312988281,\n 35.30672036715779\n ],\n [\n -106.5890121459961,\n 35.280379599547345\n ],\n [\n -106.58008575439452,\n 35.23776788438302\n ],\n [\n -106.60926818847656,\n 35.209721645221386\n ],\n [\n -106.6827392578125,\n 35.130859846051834\n ],\n [\n -106.68685913085938,\n 35.10024874332443\n ],\n [\n -106.65390014648438,\n 35.071312088842085\n ],\n [\n -106.65390014648438,\n 35.05332686137622\n ],\n [\n -106.66831970214844,\n 35.009190072031764\n ],\n [\n -106.67999267578125,\n 34.99794122085656\n ],\n [\n -106.66900634765625,\n 34.91239942857935\n ],\n [\n -106.71432495117188,\n 34.86903170200863\n ],\n [\n -106.70333862304688,\n 34.80985701468082\n ],\n [\n -106.74247741699219,\n 34.70436443445848\n ],\n [\n -106.73080444335938,\n 34.649025753526985\n ],\n [\n -106.7376708984375,\n 34.59760673724307\n ],\n [\n -106.7596435546875,\n 34.53597500508991\n ],\n [\n -106.78573608398438,\n 34.517306850896034\n ],\n [\n -106.79534912109375,\n 34.41370754457088\n ],\n [\n -106.85371398925781,\n 34.34173522170086\n ],\n [\n -106.83242797851562,\n 34.28275121215075\n ],\n [\n -106.85989379882811,\n 34.25154099726973\n ],\n [\n -106.89010620117188,\n 34.24302711044684\n ],\n [\n -106.87294006347656,\n 34.14136162745489\n ],\n [\n -106.86264038085938,\n 34.075981185564046\n ],\n [\n -106.84616088867188,\n 33.95161924203359\n ],\n [\n -106.842041015625,\n 33.81908916394128\n ],\n [\n -106.89353942871094,\n 33.731763584299635\n ],\n [\n -106.91551208496094,\n 33.74660950260304\n ],\n [\n -106.85920715332031,\n 33.83563103307716\n ],\n [\n -106.86195373535156,\n 33.949625692375044\n ],\n [\n -106.89971923828124,\n 34.12317388304314\n ],\n [\n -106.90864562988281,\n 34.19987684946339\n ],\n [\n -106.90521240234375,\n 34.261189027714515\n ],\n [\n -106.85646057128906,\n 34.28615526208525\n ],\n [\n -106.87156677246094,\n 34.342869123388596\n ],\n [\n -106.81526184082031,\n 34.41767272412844\n ],\n [\n -106.81320190429686,\n 34.47712785074854\n ],\n [\n -106.75689697265625,\n 34.64394177616416\n ],\n [\n -106.7596435546875,\n 34.70944470408129\n ],\n [\n -106.72874450683594,\n 34.81323957119389\n ],\n [\n -106.72805786132811,\n 34.87748175566141\n ],\n [\n -106.68685913085938,\n 34.92253403714306\n ],\n [\n -106.70059204101562,\n 35.003565839769195\n ],\n [\n -106.66900634765625,\n 35.06316302357556\n ],\n [\n -106.70402526855467,\n 35.10024874332443\n ],\n [\n -106.69715881347655,\n 35.137317600016935\n ],\n [\n -106.64566040039062,\n 35.2080385626545\n ],\n [\n -106.60171508789062,\n 35.23440284749622\n ],\n [\n -106.60240173339842,\n 35.28430323585091\n ],\n [\n -106.52069091796875,\n 35.384011790948705\n ],\n [\n -106.4849853515625,\n 35.39912537474419\n ],\n [\n -106.41494750976562,\n 35.49421989176051\n ],\n [\n -106.37924194335938,\n 35.537255129717714\n ],\n [\n -106.36756896972656,\n 35.58752680772205\n ],\n [\n -106.34078979492188,\n 35.619349222857494\n ],\n [\n -106.32396697998047,\n 35.63051198300061\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4abe4b023124e8edded","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Daniel K. dpearson@usgs.gov","contributorId":1525,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","email":"dpearson@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":548602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Michael D.","contributorId":139912,"corporation":false,"usgs":false,"family":"Porter","given":"Michael D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":548604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moring, J. Bruce","contributorId":139911,"corporation":false,"usgs":false,"family":"Moring","given":"J.","email":"","middleInitial":"Bruce","affiliations":[{"id":13311,"text":"Plateau Land and Wildlife Mgmt.","active":true,"usgs":false}],"preferred":false,"id":548603,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148417,"text":"ofr20151111 - 2015 - First steps of integrated spatial modeling of titanium, zirconium, and rare earth element resources within the Coastal Plain sediments of the southeastern United States","interactions":[],"lastModifiedDate":"2015-06-12T09:37:02","indexId":"ofr20151111","displayToPublicDate":"2015-06-12T08:45:00","publicationYear":"2015","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":"2015-1111","title":"First steps of integrated spatial modeling of titanium, zirconium, and rare earth element resources within the Coastal Plain sediments of the southeastern United States","docAbstract":"The Coastal Plain of the southeastern United States has extensive, unconsolidated sedimentary deposits that are enriched in heavy minerals containing titanium, zirconium, and rare earth element resources. Areas favorable for exploration and development of these resources are being identified by geochemical data, which are supplemented with geological, geophysical, hydrological, and geographical data. The first steps of this analysis have been completed. The concentrations of lanthanum, yttrium, and titanium tend to decrease as distance from the Piedmont (which is the likely source of these resources) increases and are moderately correlated with airborne measurements of equivalent thorium concentration. The concentrations of lanthanum, yttrium, and titanium are relatively high in those watersheds that adjoin the Piedmont, south of the Cape Fear Arch. Although this relation suggests that the concentrations are related to the watersheds, it may be simply an independent regional trend. The concentration of zirconium is unrelated to the distance from the Piedmont, the equivalent thorium concentration, and the watershed. These findings establish a foundation for more sophisticated analyses using integrated spatial modeling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151111","usgsCitation":"Ellefsen, K.J., Van Gosen, B.S., Fey, D.L., Budahn, J.R., Smith, S.M., and Shah, A.K., 2015, First steps of integrated spatial modeling of titanium, zirconium, and rare earth element resources within the Coastal Plain sediments of the southeastern United States: U.S. Geological Survey Open-File Report 2015-1111, vi, 40 p., https://doi.org/10.3133/ofr20151111.","productDescription":"vi, 40 p.","startPage":"40","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063270","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":301183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151111.jpg"},{"id":301159,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1111/"},{"id":301174,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1111/pdf/ofr2015-1111.pdf","text":"Report","size":"3.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"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 -81.1669921875,\n 25.12539261151203\n ],\n [\n -80.244140625,\n 25.18505888358067\n ],\n [\n -80.00244140625,\n 26.843677401113002\n ],\n [\n -81.474609375,\n 30.41078179084589\n ],\n [\n -80.9912109375,\n 31.914867503276223\n ],\n [\n -79.189453125,\n 33.22949814144951\n ],\n [\n -78.92578124999999,\n 33.706062655101206\n ],\n [\n -78.20068359374999,\n 33.779147331286474\n ],\n [\n -76.37695312499999,\n 34.867904962568716\n ],\n [\n -75.43212890625,\n 35.29943548054545\n ],\n [\n -75.9814453125,\n 36.721273880045004\n ],\n [\n -75.76171875,\n 37.474858084971046\n ],\n [\n -74.970703125,\n 38.272688535980976\n ],\n [\n -74.90478515625,\n 38.976492485539424\n ],\n [\n -74.42138671875,\n 39.30029918615029\n ],\n [\n -73.89404296875,\n 40.29628651711716\n ],\n [\n -74.267578125,\n 40.53050177574321\n ],\n [\n -74.8828125,\n 40.27952566881291\n ],\n [\n -77.255859375,\n 39.04478604850143\n ],\n [\n -78.64013671875,\n 36.54494944148322\n ],\n [\n -80.7275390625,\n 34.831841149828655\n ],\n [\n -82.353515625,\n 33.8339199536547\n ],\n [\n -85.14404296875,\n 32.76880048488168\n ],\n [\n -87.56103515625,\n 35.02999636902566\n ],\n [\n -88.2861328125,\n 37.43997405227057\n ],\n [\n -89.1650390625,\n 37.125286284966805\n ],\n [\n -89.82421875,\n 35.8356283888737\n ],\n [\n -90.10986328125,\n 35.10193405724606\n ],\n [\n -90.52734374999999,\n 34.687427949314845\n ],\n [\n -90.54931640625,\n 34.470335121217495\n ],\n [\n -91.01074218749999,\n 34.016241889667015\n ],\n [\n -91.1865234375,\n 33.46810795527896\n ],\n [\n -90.98876953125,\n 32.32427558887655\n ],\n [\n -91.318359375,\n 31.80289258670676\n ],\n [\n -91.5380859375,\n 31.409912194070973\n ],\n [\n -91.60400390625,\n 31.034108344903512\n ],\n [\n -90.52734374999999,\n 31.015278981711266\n ],\n [\n -90,\n 29.973970240516614\n ],\n [\n -89.36279296875,\n 30.35391637229704\n ],\n [\n -88.06640625,\n 30.29701788337205\n ],\n [\n -85.95703125,\n 30.29701788337205\n ],\n [\n -85.18798828125,\n 29.66896252599253\n ],\n [\n -84.72656249999999,\n 29.76437737516313\n ],\n [\n -84.111328125,\n 30.06909396443887\n ],\n [\n -83.60595703125,\n 29.859701442126756\n ],\n [\n -83.29833984375,\n 29.34387539941801\n ],\n [\n -82.79296874999999,\n 29.075375179558346\n ],\n [\n -82.59521484375,\n 28.497660832963472\n ],\n [\n -82.85888671875,\n 28.07198030177986\n ],\n [\n -82.72705078125,\n 27.566721430409707\n ],\n [\n -82.24365234375,\n 26.78484736105119\n ],\n [\n -82.08984375,\n 26.62781822639305\n ],\n [\n -81.71630859375,\n 26.05678288577881\n ],\n [\n -81.54052734375,\n 25.878994400196202\n ],\n [\n -81.27685546875,\n 25.62171595984575\n ],\n [\n -81.1669921875,\n 25.12539261151203\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4a9e4b023124e8edde9","contributors":{"authors":[{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":548595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":548596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":548597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Steven M. 0000-0003-3591-5377 smsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-3591-5377","contributorId":1460,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"smsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":548600,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}