{"pageNumber":"918","pageRowStart":"22925","pageSize":"25","recordCount":165549,"records":[{"id":70190728,"text":"70190728 - 2017 - Assessing condition of macroinvertebrate communities and bed sediment toxicity in the Rochester Embayment Area of Concern, New York, USA","interactions":[],"lastModifiedDate":"2019-12-21T08:34:03","indexId":"70190728","displayToPublicDate":"2017-09-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessing condition of macroinvertebrate communities and bed sediment toxicity in the Rochester Embayment Area of Concern, New York, USA","docAbstract":"The United States and Canada agreed to restore the chemical, physical, and biological integrity of the Great Lakes ecosystem under the first Great Lakes Water Quality Agreement in 1972. The lowest reach of the Genesee River and the Rochester Embayment on Lake Ontario between Bogus Point and Nine Mile Point, including Braddock Bay, were designated as an Area of Concern (AOC) due to effects of contaminated sediments and physical disturbance on several beneficial uses. Following sediment remedial efforts and with conditions improving in the AOC, the present study was conducted to reevaluate the status of the benthic macroinvertebrate (benthos) beneficial use impairment (BUI). Benthic macroinvertebrate community assessments and 10-day Chironomus dilutus bioassays were used to test the hypotheses that sediments within the AOC were no more toxic than sediments from surrounding reference areas. The study was separated into three discrete systems (Genesee River, Lake Ontario, and Braddock Bay) and non-parametric analyses determined that a multimetric index of benthic macroinvertebrate community integrity was significantly higher at AOC sites compared to reference sites on the Genesee River and in Braddock Bay while AOC and reference sites on Lake Ontario did not differ significantly. Survival and growth of C. dilutus were also similar between AOC and reference sites for each system with the exception of significantly higher growth at reference sites on Lake Ontario. Results generally indicated that the condition of benthos and toxicity of sediment of the Rochester Embayment AOC are similar to or better than that in the surrounding area.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.02.002","usgsCitation":"Duffy, B., George, S.D., Baldigo, B.P., and Smith, A.J., 2017, Assessing condition of macroinvertebrate communities and bed sediment toxicity in the Rochester Embayment Area of Concern, New York, USA: Journal of Great Lakes Research, v. 43, no. 5, p. 890-898, https://doi.org/10.1016/j.jglr.2017.02.002.","productDescription":"9 p.","startPage":"890","endPage":"898","ipdsId":"IP-062674","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":345683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.31054687499999,\n              43.05684777584547\n            ],\n            [\n              -76.695556640625,\n              43.05684777584547\n            ],\n            [\n              -76.695556640625,\n              43.440954591707445\n            ],\n            [\n              -78.31054687499999,\n              43.440954591707445\n            ],\n            [\n              -78.31054687499999,\n              43.05684777584547\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ba43b7e4b091459a5629a5","contributors":{"authors":[{"text":"Duffy, Brian","contributorId":192175,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","affiliations":[],"preferred":false,"id":710267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Alexander J.","contributorId":168509,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander","email":"","middleInitial":"J.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":710268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190715,"text":"70190715 - 2017 - A digital reference collection for aquatic macroinvertebrates of North America","interactions":[],"lastModifiedDate":"2017-11-29T16:32:26","indexId":"70190715","displayToPublicDate":"2017-09-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A digital reference collection for aquatic macroinvertebrates of North America","docAbstract":"<p><span>Aquatic invertebrates are a key component of freshwater ecosystems, and understanding aquatic invertebrate taxonomy is a cornerstone of freshwater science. Physical reference collections of expertly identified voucher specimens are the ‘gold-standard’ used to confirm specimen identifications. However, most biologists lack access to such collections, which themselves tend to be highly regionalized and somewhat limited in terms of taxonomic scope. The North American Aquatic Macroinvertebrate Digital Reference Collection (NAAMDRC;&nbsp;</span><a class=\"extLink\" href=\"https://sciencebase.usgs.gov/naamdrc\" data-mce-href=\"https://sciencebase.usgs.gov/naamdrc\">https://sciencebase.usgs.gov/naamdrc</a><span>) was developed by the US Geological Survey (USGS) to overcome these limitations of physical collections. NAAMDRC provides users with public-domain, high-quality digital photographs to help verify specimen identifications.</span></p>","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/694539","usgsCitation":"Walters, D., Ford, M.A., and Zuellig, R.E., 2017, A digital reference collection for aquatic macroinvertebrates of North America: Freshwater Science, v. 36, no. 4, p. 693-697, https://doi.org/10.1086/694539.","productDescription":"5 p.","startPage":"693","endPage":"697","ipdsId":"IP-085163","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":345685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ba43b8e4b091459a5629a9","contributors":{"authors":[{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":710257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, Morgan A","contributorId":196406,"corporation":false,"usgs":false,"family":"Ford","given":"Morgan","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":710258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710259,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190713,"text":"70190713 - 2017 - Atoll groundwater movement and its response to climatic and sea-level fluctuations","interactions":[],"lastModifiedDate":"2021-01-07T19:07:32.490613","indexId":"70190713","displayToPublicDate":"2017-09-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Atoll groundwater movement and its response to climatic and sea-level fluctuations","docAbstract":"Groundwater resources of low-lying atoll islands are threatened due to short-term and long-term changes in rainfall, wave climate, and sea level. A better understanding of how these forcings affect the limited groundwater resources was explored on Roi-Namur in the Republic of the Marshall Islands. As part of a 16-month study, a rarely recorded island-overwash event occurred and the island’s aquifer’s response was measured. The findings suggest that small-scale overwash events cause an increase in salinity of the freshwater lens that returns to pre-overwash conditions within one month. The overwash event is addressed in the context of climate-related local sea-level change, which suggests that overwash events and associated degradations in freshwater resources are likely to increase in severity in the future due to projected rises in sea level. Other forcings, such as severe rainfall events, were shown to have caused a sudden freshening of the aquifer, with salinity levels retuning to pre-rainfall levels within three months. Tidal forcing of the freshwater lens was observed in electrical resistivity profiles, high-resolution conductivity, groundwater-level well measurements and through submarine groundwater discharge calculations. Depth-specific geochemical pore water measurements further assessed and confirmed the distinct boundaries between fresh and saline water masses in the aquifer. The identification of the freshwater lens’ saline boundaries is essential for a quantitative evaluation of the aquifers freshwater resources and help understand how these resources may be impacted by climate change and anthropogenic activities.","language":"English","publisher":"MDPI","doi":"10.3390/w9090650","usgsCitation":"Oberle, F.K., Swarzenski, P.W., and Storlazzi, C.D., 2017, Atoll groundwater movement and its response to climatic and sea-level fluctuations: Water, v. 9, no. 9, e650; 18 p., https://doi.org/10.3390/w9090650.","productDescription":"e650; 18 p.","ipdsId":"IP-088831","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w9090650","text":"Publisher Index Page"},{"id":345687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Marshall Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              167.23388671875,\n              5.101887070062334\n            ],\n            [\n              172.935791015625,\n              5.101887070062334\n            ],\n            [\n              172.935791015625,\n              9.199715262283302\n            ],\n            [\n              167.23388671875,\n              9.199715262283302\n            ],\n            [\n              167.23388671875,\n              5.101887070062334\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-30","publicationStatus":"PW","scienceBaseUri":"59ba43b8e4b091459a5629ad","contributors":{"authors":[{"text":"Oberle, Ferdinand K. J. 0000-0001-8871-3619 foberle@usgs.gov","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":195642,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","email":"foberle@usgs.gov","middleInitial":"K. J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":710254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":189823,"corporation":false,"usgs":false,"family":"Swarzenski","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":710256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":710255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190760,"text":"70190760 - 2017 - Fine-resolution repeat topographic surveying of dryland landscapes using UAS-based structure-from-motion photogrammetry: Assessing accuracy and precision against traditional ground-based erosion measurements","interactions":[],"lastModifiedDate":"2020-10-03T15:59:14.452055","indexId":"70190760","displayToPublicDate":"2017-09-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Fine-resolution repeat topographic surveying of dryland landscapes using UAS-based structure-from-motion photogrammetry: Assessing accuracy and precision against traditional ground-based erosion measurements","title":"Fine-resolution repeat topographic surveying of dryland landscapes using UAS-based structure-from-motion photogrammetry: Assessing accuracy and precision against traditional ground-based erosion measurements","docAbstract":"<p><span>Structure-from-motion (SfM) photogrammetry from unmanned aerial system (UAS) imagery is an emerging tool for repeat topographic surveying of dryland erosion. These methods are particularly appealing due to the ability to cover large landscapes compared to field methods and at reduced costs and finer spatial resolution compared to airborne laser scanning. Accuracy and precision of high-resolution digital terrain models (DTMs) derived from UAS imagery have been explored in many studies, typically by comparing image coordinates to surveyed check points or LiDAR datasets. In addition to traditional check points, this study compared 5 cm resolution DTMs derived from fixed-wing UAS imagery with a traditional ground-based method of measuring soil surface change called erosion bridges. We assessed accuracy by comparing the elevation values between DTMs and erosion bridges along thirty topographic transects each 6.1 m long. Comparisons occurred at two points in time (June 2014, February 2015) which enabled us to assess vertical accuracy with 3314 data points and vertical precision (i.e., repeatability) with 1657 data points. We found strong vertical agreement (accuracy) between the methods (RMSE 2.9 and 3.2 cm in June 2014 and February 2015, respectively) and high vertical precision for the DTMs (RMSE 2.8 cm). Our results from comparing SfM-generated DTMs to check points, and strong agreement with erosion bridge measurements suggests repeat UAS imagery and SfM processing could replace erosion bridges for a more synoptic landscape assessment of shifting soil surfaces for some studies. However, while collecting the UAS imagery and generating the SfM DTMs for this study was faster than collecting erosion bridge measurements, technical challenges related to the need for ground control networks and image processing requirements must be addressed before this technique could be applied effectively to large landscapes.</span></p>","language":"English","publisher":"MPDI AG (Multidisciplinary Digital Publishing Institute)","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs9050437","usgsCitation":"Gillian, J.K., Karl, J.W., Elaksher, A., and Duniway, M.C., 2017, Fine-resolution repeat topographic surveying of dryland landscapes using UAS-based structure-from-motion photogrammetry: Assessing accuracy and precision against traditional ground-based erosion measurements: Remote Sensing, v. 9, no. 5, 437, 24 p., https://doi.org/10.3390/rs9050437.","productDescription":"437, 24 p.","numberOfPages":"24","ipdsId":"IP-086200","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9050437","text":"Publisher Index Page"},{"id":345713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"59ba43b5e4b091459a56299a","contributors":{"authors":[{"text":"Gillian, Jeffrey K.","contributorId":196437,"corporation":false,"usgs":false,"family":"Gillian","given":"Jeffrey","email":"","middleInitial":"K.","affiliations":[{"id":7045,"text":"USDA-ARS Jornada Experimental Range ","active":true,"usgs":false}],"preferred":false,"id":710348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karl, Jason W.","contributorId":191703,"corporation":false,"usgs":false,"family":"Karl","given":"Jason","email":"","middleInitial":"W.","affiliations":[{"id":7045,"text":"USDA-ARS Jornada Experimental Range ","active":true,"usgs":false}],"preferred":false,"id":710349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elaksher, Ahmed","contributorId":196438,"corporation":false,"usgs":false,"family":"Elaksher","given":"Ahmed","email":"","affiliations":[{"id":34578,"text":"Civil Engineering Department, College of Engineering, California Polytechnical State University","active":true,"usgs":false}],"preferred":false,"id":710350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":710347,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190709,"text":"70190709 - 2017 - Neotectonics of interior Alaska and the late Quaternary slip rate along the Denali fault system","interactions":[],"lastModifiedDate":"2023-11-06T17:00:22.889375","indexId":"70190709","displayToPublicDate":"2017-09-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Neotectonics of interior Alaska and the late Quaternary slip rate along the Denali fault system","docAbstract":"<p><span>The neotectonics of southern Alaska (USA) are characterized by a several hundred kilometers–wide zone of dextral transpressional that spans the Alaska Range. The Denali fault system is the largest active strike-slip fault system in interior Alaska, and it produced a M</span><sub>w</sub><span><span>&nbsp;</span>7.9 earthquake in 2002. To evaluate the late Quaternary slip rate on the Denali fault system, we collected samples for cosmogenic surface exposure dating from surfaces offset by the fault system. This study includes data from 107 samples at 19 sites, including 7 sites we previously reported, as well as an estimated slip rate at another site. We utilize the interpreted surface ages to provide estimated slip rates. These new slip rate data confirm that the highest late Quaternary slip rate is ∼13 mm/yr on the central Denali fault near its intersection with the eastern Denali and the Totschunda faults, with decreasing slip rate both to the east and west. The slip rate decreases westward along the central and western parts of the Denali fault system to 5 mm/yr over a length of ∼575&nbsp;km. An additional site on the eastern Denali fault near Kluane Lake, Yukon, implies a slip rate of ∼2 mm/yr, based on geological considerations. The Totschunda fault has a maximum slip rate of ∼9 mm/yr. The Denali fault system is transpressional and there are active thrust faults on both the north and south sides of it. We explore four geometric models for southern Alaska tectonics to explain the slip rates along the Denali fault system and the active fault geometries: rotation, indentation, extrusion, and a combination of the three. We conclude that all three end-member models have strengths and shortcomings, and a combination of rotation, indentation, and extrusion best explains the slip rate observations.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01447.1","usgsCitation":"Haeussler, P.J., Matmon, A., Schwartz, D.P., and Seitz, G.G., 2017, Neotectonics of interior Alaska and the late Quaternary slip rate along the Denali fault system: Geosphere, v. 13, no. 5, p. 1-19, https://doi.org/10.1130/GES01447.1.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-090357","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":469528,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01447.1","text":"Publisher Index Page"},{"id":345684,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155,\n              62\n            ],\n            [\n              -135,\n              62\n            ],\n            [\n              -135,\n              64\n            ],\n            [\n              -155,\n              64\n            ],\n            [\n              -155,\n              62\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"59ba43b8e4b091459a5629af","contributors":{"authors":[{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":710250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matmon, Ari","contributorId":196405,"corporation":false,"usgs":false,"family":"Matmon","given":"Ari","email":"","affiliations":[],"preferred":false,"id":710251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, David P. 0000-0001-5193-9200 dschwartz@usgs.gov","orcid":"https://orcid.org/0000-0001-5193-9200","contributorId":1940,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","email":"dschwartz@usgs.gov","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":710252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seitz, Gordon G.","contributorId":139062,"corporation":false,"usgs":false,"family":"Seitz","given":"Gordon","email":"","middleInitial":"G.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":710253,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190750,"text":"70190750 - 2017 - Deep-sea coral research and technology program: Alaska deep-sea coral and sponge initiative final report","interactions":[],"lastModifiedDate":"2017-09-13T15:45:52","indexId":"70190750","displayToPublicDate":"2017-09-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":269,"text":"NOAA Technical Memorandum","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NMFS-OHC-2","title":"Deep-sea coral research and technology program: Alaska deep-sea coral and sponge initiative final report","docAbstract":"<p>Deep-sea coral and sponge ecosystems are widespread throughout most of Alaska’s marine waters. In some places, such as the central and western Aleutian Islands, deep-sea coral and sponge resources can be extremely diverse and may rank among the most abundant deep-sea coral and sponge communities in the world. Many different species of fishes and invertebrates are associated with deep-sea coral and sponge communities in Alaska. Because of their biology, these benthic invertebrates are potentially impacted by climate change and ocean acidification. Deepsea coral and sponge ecosystems are also vulnerable to the effects of commercial fishing activities. Because of the size and scope of Alaska’s continental shelf and slope, the vast majority of the area has not been visually surveyed for deep-sea corals and sponges. NOAA’s Deep Sea Coral Research and Technology Program (DSCRTP) sponsored a field research program in the Alaska region between 2012–2015, referred to hereafter as the Alaska Initiative. The priorities for Alaska were derived from ongoing data needs and objectives identified by the DSCRTP, the North Pacific Fishery Management Council (NPFMC), and Essential Fish Habitat-Environmental Impact Statement (EFH-EIS) process.</p><p>This report presents the results of 15 projects conducted using DSCRTP funds from 2012-2015. Three of the projects conducted as part of the Alaska deep-sea coral and sponge initiative included dedicated at-sea cruises and fieldwork spread across multiple years. These projects were the eastern Gulf of Alaska Primnoa pacifica study, the Aleutian Islands mapping study, and the Gulf of Alaska fish productivity study. In all, there were nine separate research cruises carried out with a total of 109 at-sea days conducting research. The remaining projects either used data and samples collected by the three major fieldwork projects or were piggy-backed onto existing research programs at the Alaska Fisheries Science Center (AFSC).</p>","language":"English","publisher":"National Oceanic and Atmospheric Administration","usgsCitation":"Rooper, C., Stone, R.P., Etnoyer, P., Conrath, C., Reynolds, J., Greene, H.G., Williams, B., Salgado, E., Morrison, C.L., Waller, R.G., and Demopoulos, A.W., 2017, Deep-sea coral research and technology program: Alaska deep-sea coral and sponge initiative final report: NOAA Technical Memorandum NMFS-OHC-2, x, 65 p.","productDescription":"x, 65 p.","numberOfPages":"80","ipdsId":"IP-090361","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":345710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345701,"type":{"id":11,"text":"Document"},"url":"https://spo.nmfs.noaa.gov/sites/default/files/TM-OHC-2-FINAL.pdf"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ba43b6e4b091459a56299f","contributors":{"authors":[{"text":"Rooper, Chris","contributorId":196431,"corporation":false,"usgs":false,"family":"Rooper","given":"Chris","affiliations":[],"preferred":false,"id":710321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Robert P.","contributorId":190569,"corporation":false,"usgs":false,"family":"Stone","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":710322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Etnoyer, Peter","contributorId":196432,"corporation":false,"usgs":false,"family":"Etnoyer","given":"Peter","affiliations":[],"preferred":false,"id":710323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrath, Christina","contributorId":196433,"corporation":false,"usgs":false,"family":"Conrath","given":"Christina","email":"","affiliations":[],"preferred":false,"id":710324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reynolds, Jennifer","contributorId":196434,"corporation":false,"usgs":false,"family":"Reynolds","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":710325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greene, H. Gary","contributorId":139063,"corporation":false,"usgs":false,"family":"Greene","given":"H.","email":"","middleInitial":"Gary","affiliations":[{"id":12639,"text":"Moss Landing Marine Labs","active":true,"usgs":false}],"preferred":false,"id":710326,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Branwen","contributorId":152572,"corporation":false,"usgs":false,"family":"Williams","given":"Branwen","email":"","affiliations":[],"preferred":false,"id":710327,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Salgado, Enrique","contributorId":196435,"corporation":false,"usgs":false,"family":"Salgado","given":"Enrique","email":"","affiliations":[],"preferred":false,"id":710328,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":710320,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Waller, Rhian G.","contributorId":195852,"corporation":false,"usgs":false,"family":"Waller","given":"Rhian","email":"","middleInitial":"G.","affiliations":[{"id":16143,"text":"University of Hawaii at Manoa, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":710329,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":196216,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":710330,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70188026,"text":"sir20175047 - 2017 - Loads and yields of deicing compounds and total phosphorus in the Cambridge drinking-water source area, Massachusetts, water years 2009–15","interactions":[],"lastModifiedDate":"2022-11-02T14:10:12.709223","indexId":"sir20175047","displayToPublicDate":"2017-09-12T12:00:00","publicationYear":"2017","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":"2017-5047","title":"Loads and yields of deicing compounds and total phosphorus in the Cambridge drinking-water source area, Massachusetts, water years 2009–15","docAbstract":"<p>The source water area for the drinking-water supply of the city of Cambridge, Massachusetts, encompasses major transportation corridors, as well as large areas of light industrial, commercial, and residential land use. Because of the large amount of roadway in the drinking-water source area, the Cambridge water supply is affected by the usage of deicing compounds and by other constituents that are flushed from such impervious areas. The U.S. Geological Survey (USGS) has monitored surface-water quality in the Cambridge Reservoir and Stony Brook Reservoir Basins, which compose the drinking-water source area, since 1997 (water year 1998) through continuous monitoring and the collection of stream-flow samples.</p><p>In a study conducted by the USGS, in cooperation with the City of Cambridge Water Department, concentrations and loads of calcium (Ca), chloride (Cl), magnesium (Mg), sodium (Na), and sulfate (SO<sub>4</sub>) were estimated from continuous records of specific conductance and streamflow for streams and tributaries at 10 continuous water-quality monitoring stations. These data were used to characterize current (2015) water-quality conditions, estimate loads and yields, and describe trends in Cl and Na in the tributaries and main-stem streams in the Cambridge Reservoir and Stony Brook Reservoir Basins. These data also were used to describe how stream-water quality is related to various basin characteristics and provide information to guide future management of the drinking-water source area.</p><p>Water samples from 2009–15 were analyzed for physical properties and concentrations of Ca, Cl, Mg, Na, potassium (K), SO<sub>4</sub>, and total phosphorus (TP). Values of physical properties and constituent concentrations varied widely, particularly in composite samples of stormflow from tributaries that have high percentages of constructed impervious areas. Median concentrations of Ca, Cl, Mg, Na, and K in samples collected from the tributaries in the Cambridge Reservoir Basin (27.2, 273, 4.7, 154.5, and 2.8 milligrams per liter (mg/L), respectively) were higher than those for the Stony Brook Reservoir Basin (22.2, 128, 4.3, 77.1, and 2.5, respectively). Differences between tributary samples for concentrations of Cl and Na were related to the percentage of developed land and constructed impervious area in the drinking-water source area. Median concentrations of SO<sub>4</sub> in samples collected from the tributaries in the Cambridge Reservoir Basin (10.7 mg/L) were lower than those for the Stony Brook Reservoir Basin (18.0 mg/L).</p><p>Concentrations of dissolved Cl and Na in samples and those concentrations estimated from continuous records of specific conductance (particularly during base flow) often were greater than the U.S. Environmental Protection Agency (EPA) secondary drinking-water standard for Cl (250 mg/L), the chronic aquatic-life guideline for Cl (230 mg/L), and the Massachusetts Department of Environmental Protection drinking-water guideline for Na (20 mg/L). Concentrations of TP (range from 0.008 to 0.69 mg/L in all subbasins) in tributary samples did not differ substantially between the Cambridge Reservoir and Stony Brook Reservoir Basins. About one-half of the concentrations of TP in samples collected during water years 2013–15 exceeded the EPA proposed reference concentration of 0.024 mg/L.</p><p>For most tributaries, about 70 percent of the annual loads of Ca, Cl, Mg, Na, and SO<sub>4 </sub>were associated with base flow. Concentrations of major ions were negatively correlated with streamflow, indicating that these constituents were diluted during stormflow and tend to increase during the summer when streamflow is low. In contrast, between 57 and 92 percent of the annual load for TP was transported during stormflows.</p><p>Mean annual yields of Ca, Cl, Mg, Na, and SO<sub>4</sub> in the drinking-water source area were 13, 75, 2.6, 40, and 6.9 metric tons per square kilometer, respectively, for water years 2009–15. The mean annual yield of TP in the drinking-water source area for water years 2013–15 was 0.012 metric tons per square kilometer. Yields for major ions and TP were highest in tributary subbasins adjacent to Interstate 95.</p><p>Temporal trends in mean annual concentrations for Cl and Na were not significant for water years 1998‒2015 (period of record by the USGS) for the outlet of the Cambridge Reservoir and for the main stem of Stony Brook downstream from the reservoir. Median values of base-flow concentrations of TP at three stations were higher for samples collected during base-flow conditions during water years 2005–7 than for samples collected during water years 2013–15. However, the results were not significant for statistical tests between concentrations in samples collected during storms for the same periods, indicating that the quality of stormwater remains similar.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175047","collaboration":"Prepared in cooperation with Cambridge [Massachusetts] Water Department","productDescription":"x, 52 p.","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-078822","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":345074,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5047/sir20175047.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5047"},{"id":345073,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5047/coverthb.jpg"}],"country":"United States","state":"Massachusetts","city":"Cambridge","otherGeospatial":"Cambridge Reservoir and Stony Brook Reservoir basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.3167,\n              42.433\n            ],\n            [\n              -71.3167,\n              42.333\n            ],\n            [\n              -71.133,\n              42.333\n            ],\n            [\n              -71.133,\n              42.433\n            ],\n            [\n              -71.3167,\n              42.433\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"dc_nweng@usgs.gov\" data-mce-href=\"dc_nweng@usgs.gov\">Director</a>, <a href=\"https://newengland.water.usgs.gov\" data-mce-href=\"https://newengland.water.usgs.gov\">New England Water Science Center</a><br> U.S. Geological Survey<br> 10 Bearfoot Road <br> Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Collection Methods and Results of Quality-Assurance Sampling</li><li>Data Analysis Methods</li><li>Water-Quality Conditions</li><li>Constituent Loads and Yields</li><li>Chloride and Sodium Trends</li><li>Comparison of Total Phosphorus Concentrations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2017-09-12","noUsgsAuthors":false,"publicationDate":"2017-09-12","publicationStatus":"PW","scienceBaseUri":"59b8f218e4b08b1644e0aea8","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":696225,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190676,"text":"70190676 - 2017 - Stress hormones predict a host superspreader phenotype in the West Nile virus system","interactions":[],"lastModifiedDate":"2017-09-12T12:21:23","indexId":"70190676","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Stress hormones predict a host superspreader phenotype in the West Nile virus system","docAbstract":"<p><span>Glucocorticoid stress hormones, such as corticosterone (CORT), have profound effects on the behaviour and physiology of organisms, and thus have the potential to alter host competence and the contributions of individuals to population- and community-level pathogen dynamics. For example, CORT could alter the rate of contacts among hosts, pathogens and vectors through its widespread effects on host metabolism and activity levels. CORT could also affect the intensity and duration of pathogen shedding and risk of host mortality during infection. We experimentally manipulated songbird CORT, asking how CORT affected behavioural and physiological responses to a standardized West Nile virus (WNV) challenge. Although all birds became infected after exposure to the virus, only birds with elevated CORT had viral loads at or above the infectious threshold. Moreover, though the rate of mortality was faster in birds with elevated CORT compared with controls, most hosts with elevated CORT survived past the day of peak infectiousness. CORT concentrations just prior to inoculation with WNV and anti-inflammatory cytokine concentrations following viral exposure were predictive of individual duration of infectiousness and the ability to maintain physical performance during infection (i.e. tolerance), revealing putative biomarkers of competence. Collectively, our results suggest that glucocorticoid stress hormones could directly and indirectly mediate the spread of pathogens.</span></p>","language":"English","publisher":"Royal Publishing Society","doi":"10.1098/rspb.2017.1090","usgsCitation":"Gervasi, S., Burgan, S., Hofmeister, E.K., Unnasch, T.R., and Martin, L.B., 2017, Stress hormones predict a host superspreader phenotype in the West Nile virus system: Proceedings of the Royal Society B, v. 284, no. 1859, https://doi.org/10.1098/rspb.2017.1090.","ipdsId":"IP-080938","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2017.1090","text":"Publisher Index Page"},{"id":345648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1859","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-19","publicationStatus":"PW","scienceBaseUri":"59b8f219e4b08b1644e0aeb3","contributors":{"authors":[{"text":"Gervasi, Stephanie","contributorId":196352,"corporation":false,"usgs":false,"family":"Gervasi","given":"Stephanie","affiliations":[],"preferred":false,"id":710133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgan, Sarah","contributorId":196353,"corporation":false,"usgs":false,"family":"Burgan","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":710134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":710132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Unnasch, Thomas R.","contributorId":196354,"corporation":false,"usgs":false,"family":"Unnasch","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":710135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Lynn B.","contributorId":196355,"corporation":false,"usgs":false,"family":"Martin","given":"Lynn","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":710136,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190665,"text":"70190665 - 2017 - A hydrologic drying bias in water-resource impact analyses of anthropogenic climate change","interactions":[],"lastModifiedDate":"2017-09-12T08:59:58","indexId":"70190665","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A hydrologic drying bias in water-resource impact analyses of anthropogenic climate change","docAbstract":"<p>For water-resource planning, sensitivity of freshwater availability to anthropogenic climate change (ACC) often is analyzed with “offline” hydrologic models that use precipitation and potential evapotranspiration (<i>E</i><sub>p</sub>) as inputs. Because E<sub>p</sub> is not a climate-model output, an intermediary model of <i>E</i><sub>p</sub> must be introduced to connect the climate model to the hydrologic model. Several <i>E</i><sub>p</sub> methods are used. The suitability of each can be assessed by noting a credible <i>E</i><sub>p</sub> method for offline analyses should be able to reproduce climate models’ ACC-driven changes in actual evapotranspiration in regions and seasons of negligible water stress (<i>E</i><sub>w</sub>). We quantified this ability for seven commonly used <i>E</i><sub>p</sub> methods and for a simple proportionality with available energy (“energy-only” method). With the exception of the energy-only method, all methods tend to overestimate substantially the increase in <i>E</i><sub>p</sub> associated with ACC. In an offline hydrologic model, the <i>E</i><sub>p</sub>-change biases produce excessive increases in actual evapotranspiration (<i>E</i>), whether the system experiences water stress or not, and thence strong negative biases in runoff change, as compared to hydrologic fluxes in the driving climate models. The runoff biases are comparable in magnitude to the ACC-induced runoff changes themselves. These results suggest future hydrologic drying (wetting) trends likely are being systematically and substantially overestimated (underestimated) in many water-resource impact analyses.</p>","language":"English","publisher":"American Water Resources Asssociation","doi":"10.1111/1752-1688.12538","usgsCitation":"Milly, P., and Dunne, K.A., 2017, A hydrologic drying bias in water-resource impact analyses of anthropogenic climate change: Journal of the American Water Resources Association, v. 53, no. 4, p. 822-838, https://doi.org/10.1111/1752-1688.12538.","productDescription":"17 p.","startPage":"822","endPage":"838","ipdsId":"IP-084657","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":345630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"59b8f21be4b08b1644e0aec3","contributors":{"authors":[{"text":"Milly, Paul 0000-0003-4389-3130 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3130","contributorId":196325,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","affiliations":[],"preferred":true,"id":710069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, Krista A. kadunne@usgs.gov","contributorId":3936,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":710070,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190675,"text":"70190675 - 2017 - An examination of the effect of aerosolized permanone insecticide on zebra finch susceptibility to West Nile virus","interactions":[],"lastModifiedDate":"2023-06-23T14:49:35.374771","indexId":"70190675","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"An examination of the effect of aerosolized permanone insecticide on zebra finch susceptibility to West Nile virus","docAbstract":"<p><span>West Nile virus is primarily maintained cryptically primarily in avian (Passerine) populations where it is transmitted by&nbsp;</span><i>Culex spp</i><span>. mosquitoes. Mosquito control measures currently include physical activities to reduce mosquito breeding sites, the application of mosquito larvicides, or aerosolized insecticides to kill adults (adulticides) when arboviral diseases such as West Nile virus (WNV) or Zika virus are detected in mosquito populations. Organochlorine, organohosphorus, carbamate and pyrethroid insecticides are often used. Previous work suggests an effect of pyrethroids on the immune system in a variety of vertebrates. We examined the effects of exposure to aerosolized Permanone</span><sup>®</sup><span><span>&nbsp;</span>30:30 insecticide (permethrin and piperonyl butoxide in soy oil vehicle) at ∼10</span><sup>3</sup><span>−10</span><sup>6</sup><span>x potential environmental concentrations on the response of captive zebra finches (Taeniopygia guttata) to experimental challenge with WNV. Compared to vehicle control birds, WNV outcome was unchanged (65% of birds produced a viremia) in the ‘low’ exposure (9.52 mg/m</span><sup>3</sup><span>±3.13 SD permethrin) group, but reduced in the ‘high’ exposure (mean 376.5 mg/m</span><sup>3</sup><span>±27.9 SD permethrin) group (30% were viremic) (</span><i>p</i><span><span>&nbsp;</span>&lt; 0.05). After clearing WNV infection, birds treated with Permanone regained less body mass than vehicle treated birds (</span><i>p</i><span><span>&nbsp;</span>&lt; 0.001). Our study suggests that exposure to aerosolized Permanone insecticide at levels exceeding typical application rates has the potential to not change or mildly enhance a bird's resistance to WNV.</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3918","usgsCitation":"Jankowski, M.D., Murray, E.M., and Hofmeister, E.K., 2017, An examination of the effect of aerosolized permanone insecticide on zebra finch susceptibility to West Nile virus: Environmental Toxicology and Chemistry, v. 36, no. 12, p. 3376-3386, https://doi.org/10.1002/etc.3918.","productDescription":"11 p.","startPage":"3376","endPage":"3386","ipdsId":"IP-085679","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":345649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418366,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TM78KV","text":"USGS data release","description":"USGS data release","linkHelpText":"An examination of the effect of aerosolized Permanone insecticide on zebra finch susceptibility to West Nile virus: Data"}],"volume":"36","issue":"12","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-19","publicationStatus":"PW","scienceBaseUri":"59b8f21ae4b08b1644e0aeb7","contributors":{"authors":[{"text":"Jankowski, Mark","contributorId":149535,"corporation":false,"usgs":false,"family":"Jankowski","given":"Mark","affiliations":[{"id":17765,"text":"Present address: Minnesota Pollution Control Agency, 520 Lafayette Road N., St. Paul, MN 55155","active":true,"usgs":false}],"preferred":false,"id":710130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, E. Moore","contributorId":196351,"corporation":false,"usgs":false,"family":"Murray","given":"E.","email":"","middleInitial":"Moore","affiliations":[],"preferred":false,"id":710131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":710129,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190673,"text":"70190673 - 2017 - Selection of the InSight landing site","interactions":[],"lastModifiedDate":"2017-10-16T14:21:17","indexId":"70190673","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Selection of the InSight landing site","docAbstract":"<p><span>The selection of the Discovery Program InSight landing site took over four years from initial identification of possible areas that met engineering constraints, to downselection via targeted data from orbiters (especially Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) and High-Resolution Imaging Science Experiment (HiRISE) images), to selection and certification via sophisticated entry, descent and landing (EDL) simulations. Constraints on elevation (</span><span id=\"IEq1\" class=\"InlineEquation\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mo>&amp;#x2264;</mo></mrow><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mo>&amp;#x2212;</mo></mrow><mn>2.5</mn><mtext>&amp;#xA0;</mtext><mstyle displaystyle=&quot;false&quot; scriptlevel=&quot;0&quot;><mtext>km</mtext></mstyle></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"texatom\"><span id=\"MathJax-Span-4\" class=\"mrow\"><span id=\"MathJax-Span-5\" class=\"mo\">≤</span></span></span><span id=\"MathJax-Span-6\" class=\"texatom\"><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"mo\">−</span></span></span><span id=\"MathJax-Span-9\" class=\"mn\">2.5</span><span id=\"MathJax-Span-10\" class=\"mtext\">&nbsp;</span><span id=\"MathJax-Span-11\" class=\"mstyle\"><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mtext\">km</span></span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">≤−2.5&nbsp;km</span></span></span><span><span>&nbsp;</span>for sufficient atmosphere to slow the lander), latitude (initially 15°S–5°N and later 3°N–5°N for solar power and thermal management of the spacecraft), ellipse size (130&nbsp;km by 27&nbsp;km from ballistic entry and descent), and a load bearing surface without thick deposits of dust, severely limited acceptable areas to western Elysium Planitia. Within this area, 16 prospective ellipses were identified, which lie ∼600&nbsp;km north of the Mars Science Laboratory (MSL) rover. Mapping of terrains in rapidly acquired CTX images identified especially benign smooth terrain and led to the downselection to four northern ellipses. Acquisition of nearly continuous HiRISE, additional Thermal Emission Imaging System (THEMIS), and High Resolution Stereo Camera (HRSC) images, along with radar data confirmed that ellipse E9 met all landing site constraints: with slopes &lt;15° at 84&nbsp;m and 2&nbsp;m length scales for radar tracking and touchdown stability, low rock abundance (&lt;10&nbsp;%) to avoid impact and spacecraft tip over, instrument deployment constraints, which included identical slope and rock abundance constraints, a radar reflective and load bearing surface, and a fragmented regolith ∼5&nbsp;m thick for full penetration of the heat flow probe. Unlike other Mars landers, science objectives did not directly influence landing site selection.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11214-016-0321-9","usgsCitation":"Golombek, M., Kipp, D., Warner, N., Daubar, I., Fergason, R.L., Kirk, R.L., Beyer, R., Huertas, A., Piqueux, S., Putzig, N., Campbell, B., Morgan, G.A., Charalambous, C., Pike, W.T., Gwinner, K., Calef, F., Kass, D., Mischna, M.A., Ashley, J., Bloom, C., Wigton, N., Hare, T., Schwartz, C., Gengl, H., Redmond, L., Trautman, M., Sweeney, J., Grima, C., Smith, I.B., Sklyanskiy, E., Lisano, M., Benardini, J., Smrekar, S., Lognonne, P., and Banerdt, W.B., 2017, Selection of the InSight landing site: Space Science Reviews, v. 211, no. 1-4, p. 5-95, https://doi.org/10.1007/s11214-016-0321-9.","productDescription":"91 p.","startPage":"5","endPage":"95","ipdsId":"IP-076544","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":345640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2016-12-14","publicationStatus":"PW","scienceBaseUri":"59b8f21ae4b08b1644e0aebb","contributors":{"authors":[{"text":"Golombek, M.","contributorId":72506,"corporation":false,"usgs":true,"family":"Golombek","given":"M.","affiliations":[],"preferred":false,"id":710094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kipp, D.","contributorId":55724,"corporation":false,"usgs":true,"family":"Kipp","given":"D.","email":"","affiliations":[],"preferred":false,"id":710095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, N.","contributorId":196333,"corporation":false,"usgs":false,"family":"Warner","given":"N.","affiliations":[],"preferred":false,"id":710096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daubar, Ingrid J.","contributorId":34431,"corporation":false,"usgs":true,"family":"Daubar","given":"Ingrid J.","affiliations":[],"preferred":false,"id":710097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fergason, Robin L. 0000-0002-2044-1714 rfergason@usgs.gov","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":2753,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"rfergason@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":710098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":710099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beyer, R.","contributorId":196334,"corporation":false,"usgs":false,"family":"Beyer","given":"R.","affiliations":[],"preferred":false,"id":710100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huertas, A.","contributorId":91777,"corporation":false,"usgs":true,"family":"Huertas","given":"A.","email":"","affiliations":[],"preferred":false,"id":710101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Piqueux, Sylvain","contributorId":56986,"corporation":false,"usgs":false,"family":"Piqueux","given":"Sylvain","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":710102,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Putzig, N.E.","contributorId":72507,"corporation":false,"usgs":true,"family":"Putzig","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":710103,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Campbell, B.A.","contributorId":53077,"corporation":false,"usgs":true,"family":"Campbell","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":710104,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morgan, G. A.","contributorId":196335,"corporation":false,"usgs":false,"family":"Morgan","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":710105,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Charalambous, C.","contributorId":196336,"corporation":false,"usgs":false,"family":"Charalambous","given":"C.","email":"","affiliations":[],"preferred":false,"id":710106,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pike, W. T.","contributorId":196337,"corporation":false,"usgs":false,"family":"Pike","given":"W.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":710107,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Gwinner, K.","contributorId":83737,"corporation":false,"usgs":true,"family":"Gwinner","given":"K.","affiliations":[],"preferred":false,"id":710108,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Calef, F.","contributorId":45616,"corporation":false,"usgs":true,"family":"Calef","given":"F.","affiliations":[],"preferred":false,"id":710109,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kass, D.","contributorId":196338,"corporation":false,"usgs":false,"family":"Kass","given":"D.","email":"","affiliations":[],"preferred":false,"id":710110,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Mischna, M. A.","contributorId":172664,"corporation":false,"usgs":false,"family":"Mischna","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":27074,"text":"Caltech JPL","active":true,"usgs":false}],"preferred":false,"id":710111,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ashley, J.","contributorId":196339,"corporation":false,"usgs":false,"family":"Ashley","given":"J.","email":"","affiliations":[],"preferred":false,"id":710112,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bloom, C.","contributorId":196340,"corporation":false,"usgs":false,"family":"Bloom","given":"C.","email":"","affiliations":[],"preferred":false,"id":710113,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wigton, N.","contributorId":196341,"corporation":false,"usgs":false,"family":"Wigton","given":"N.","email":"","affiliations":[],"preferred":false,"id":710114,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Hare, T.","contributorId":34503,"corporation":false,"usgs":true,"family":"Hare","given":"T.","email":"","affiliations":[],"preferred":false,"id":710115,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Schwartz, C.","contributorId":19756,"corporation":false,"usgs":true,"family":"Schwartz","given":"C.","affiliations":[],"preferred":false,"id":710116,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Gengl, H.","contributorId":196342,"corporation":false,"usgs":false,"family":"Gengl","given":"H.","email":"","affiliations":[],"preferred":false,"id":710117,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Redmond, L.","contributorId":196343,"corporation":false,"usgs":false,"family":"Redmond","given":"L.","email":"","affiliations":[],"preferred":false,"id":710118,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Trautman, M.","contributorId":44059,"corporation":false,"usgs":true,"family":"Trautman","given":"M.","email":"","affiliations":[],"preferred":false,"id":710119,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Sweeney, J.","contributorId":196344,"corporation":false,"usgs":false,"family":"Sweeney","given":"J.","email":"","affiliations":[],"preferred":false,"id":710120,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Grima, C.","contributorId":196345,"corporation":false,"usgs":false,"family":"Grima","given":"C.","email":"","affiliations":[],"preferred":false,"id":710121,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Smith, I. B.","contributorId":196346,"corporation":false,"usgs":false,"family":"Smith","given":"I.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":710122,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Sklyanskiy, E.","contributorId":196347,"corporation":false,"usgs":false,"family":"Sklyanskiy","given":"E.","email":"","affiliations":[],"preferred":false,"id":710123,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Lisano, M.","contributorId":196348,"corporation":false,"usgs":false,"family":"Lisano","given":"M.","email":"","affiliations":[],"preferred":false,"id":710124,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Benardini, J.","contributorId":196349,"corporation":false,"usgs":false,"family":"Benardini","given":"J.","email":"","affiliations":[],"preferred":false,"id":710125,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Smrekar, S.E.","contributorId":43090,"corporation":false,"usgs":true,"family":"Smrekar","given":"S.E.","affiliations":[],"preferred":false,"id":710126,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Lognonne, P.","contributorId":62098,"corporation":false,"usgs":true,"family":"Lognonne","given":"P.","affiliations":[],"preferred":false,"id":710127,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Banerdt, W. B.","contributorId":196350,"corporation":false,"usgs":false,"family":"Banerdt","given":"W.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":710128,"contributorType":{"id":1,"text":"Authors"},"rank":35}]}}
,{"id":70190634,"text":"70190634 - 2017 - Behavior of a wave-driven buoyant surface jet on a coral reef","interactions":[],"lastModifiedDate":"2017-09-12T09:41:31","indexId":"70190634","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Behavior of a wave-driven buoyant surface jet on a coral reef","docAbstract":"<p>A wave-driven surface buoyant jet exiting a coral reef was studied in order to quantify the amount of water re-entrained over the reef crest. Both moored observations and Lagrangian drifters were used to study the fate of the buoyant jet. To investigate in detail the effects of buoyancy and along-shore flow variations, we developed an idealized numerical model of the system. Consistent with previous work, the ratio of along-shore velocity to jet-velocity and the jet internal Froude number were found to be important determinants of the fate of the jet. In the absence of buoyancy, the entrainment of fluid at the reef crest, creates a significant amount of retention, keeping 60% of water in the reef system. However, when the jet is lighter than the ambient ocean-water, the net effect of buoyancy is to enhance the separation of the jet from shore, leading to a greater export of reef water. Matching observations, our modeling predicts that buoyancy limits retention to 30% of the jet flow for conditions existing on the Moorea reef. Overall, the combination of observations and modeling we present here shows that reef-ocean temperature gradients can play an important role in reef-ocean exchanges.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JC011729","usgsCitation":"Herdman, L.M., Hench, J.L., Fringer, O., and Monismith, S.G., 2017, Behavior of a wave-driven buoyant surface jet on a coral reef: Journal of Geophysical Research C: Oceans, v. 122, no. 5, p. 4088-4109, https://doi.org/10.1002/2016JC011729.","productDescription":"22 p.","startPage":"4088","endPage":"4109","ipdsId":"IP-079726","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moorea Reef","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.0400390625,\n              -18.17716879354469\n            ],\n            [\n              -148.5791015625,\n              -18.17716879354469\n            ],\n            [\n              -148.5791015625,\n              -16.983248530690656\n            ],\n            [\n              -151.0400390625,\n              -16.983248530690656\n            ],\n            [\n              -151.0400390625,\n              -18.17716879354469\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-16","publicationStatus":"PW","scienceBaseUri":"59b8f21ce4b08b1644e0aecd","contributors":{"authors":[{"text":"Herdman, Liv M. 0000-0002-5444-6441 lherdman@usgs.gov","orcid":"https://orcid.org/0000-0002-5444-6441","contributorId":149964,"corporation":false,"usgs":true,"family":"Herdman","given":"Liv","email":"lherdman@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":710053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hench, James L.","contributorId":196320,"corporation":false,"usgs":false,"family":"Hench","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":710054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fringer, Oliver","contributorId":196321,"corporation":false,"usgs":false,"family":"Fringer","given":"Oliver","affiliations":[],"preferred":false,"id":710055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monismith, Stephen G.","contributorId":196322,"corporation":false,"usgs":false,"family":"Monismith","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":710056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190664,"text":"70190664 - 2017 - USA National Phenology Network’s volunteer-contributed observations yield predictive models of phenological transitions","interactions":[],"lastModifiedDate":"2017-09-12T09:40:43","indexId":"70190664","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"USA National Phenology Network’s volunteer-contributed observations yield predictive models of phenological transitions","docAbstract":"In support of science and society, the USA National Phenology Network (USA-NPN) maintains a rapidly growing, continental-scale, species-rich dataset of plant and animal phenology observations that with over 10 million records is the largest such database in the United States. Contributed voluntarily by professional and citizen scientists, these opportunistically collected observations are characterized by spatial clustering, inconsistent spatial and temporal sampling, and short temporal depth. We explore the potential for developing models of phenophase transitions suitable for use at the continental scale, which could be applied to a wide range of resource management contexts. \nWe constructed predictive models of the onset of breaking leaf buds, leaves, open flowers, and ripe fruits – phenophases that are the most abundant in the database and also relevant to management applications – for all species with available data, regardless of plant growth habit, location, geographic extent, or temporal depth of the observations. We implemented a very basic model formulation - thermal time models with a fixed start date. \nSufficient data were available to construct 107 individual species × phenophase models. Of these, fifteen models (14%) met our criteria for model fit and error and were suitable for use across the majority of the species’ geographic ranges. These findings indicate that the USA-NPN dataset holds promise for further and more refined modeling efforts. Further, the candidate models that emerged could be used to produce real-time and short-term forecast maps of the timing of such transitions to directly support natural resource management.","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0182919","usgsCitation":"Crimmins, T.M., Crimmins, M.A., Gerst, K.L., Rosemartin, A.H., and Weltzin, J., 2017, USA National Phenology Network’s volunteer-contributed observations yield predictive models of phenological transitions: PLoS ONE, v. 12, no. 8, p. 1-17, https://doi.org/10.1371/journal.pone.0182919.","productDescription":"e0182919; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-086357","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":469529,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0182919","text":"Publisher Index 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A.","contributorId":178238,"corporation":false,"usgs":false,"family":"Crimmins","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":710066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerst, Katherine L.","contributorId":196324,"corporation":false,"usgs":false,"family":"Gerst","given":"Katherine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":710067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosemartin, Alyssa H.","contributorId":178239,"corporation":false,"usgs":false,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":710068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":true,"id":710064,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190583,"text":"ds1066 - 2017 - Yolo Bypass Juvenile Salmon Utilization Study 2016—Summary of acoustically tagged juvenile salmon and study fish release, Sacramento River, California","interactions":[],"lastModifiedDate":"2019-11-07T12:20:50","indexId":"ds1066","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","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":"1066","title":"Yolo Bypass Juvenile Salmon Utilization Study 2016—Summary of acoustically tagged juvenile salmon and study fish release, Sacramento River, California","docAbstract":"<p>The Yolo Bypass is a flood control bypass in Sacramento Valley, California. Flood plain habitats may be used for juvenile salmon rearing, however, the potential value of such habitats can be difficult to evaluate because of the intermittent nature of inundation events. The Yolo Bypass Juvenile Salmon Utilization Study (YBUS) used acoustic telemetry to evaluate the movements and survival of juvenile salmon adjacent to and within the Yolo Bypass during the winter of 2016. This report presents numbers, size data, and release data (times, dates, and locations) for the 1,197 acoustically tagged juvenile salmon released for the YBUS from February 21 to March 18, 2016. Detailed descriptions of the surgical implantation of transmitters are also presented. These data are presented to support the collaborative, interagency analysis and reporting of the study findings.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1066","collaboration":"Prepared in cooperation with the California Department of Water Resources","usgsCitation":"Liedtke, T.L., and Hurst, W.R., 2017, Yolo Bypass Juvenile Salmon Utilization Study 2016—Summary of acoustically tagged juvenile salmon and study fish release, Sacramento River, California: U.S. Geological Survey Data Series 1066, 49 p., https://doi.org/10.3133/ds1066.","productDescription":"Report: iv, 49 p.; 1 Table","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-089968","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":345667,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/1066/ds1066_table5.csv","text":"Table 5","size":"84 KB","linkFileType":{"id":7,"text":"csv"},"description":"DS 1066 Table 5"},{"id":345665,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1066/coverthb.jpg"},{"id":345666,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1066/ds1066.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1066"}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.827392578125,\n              38.662458581979436\n            ],\n            [\n              -121.5644073486328,\n              38.662458581979436\n            ],\n            [\n              -121.5644073486328,\n              38.921489637879205\n            ],\n            [\n              -121.827392578125,\n              38.921489637879205\n            ],\n            [\n              -121.827392578125,\n              38.662458581979436\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Fish Releases<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-09-12","noUsgsAuthors":false,"publicationDate":"2017-09-12","publicationStatus":"PW","scienceBaseUri":"59b8f21de4b08b1644e0aed1","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurst, William R.","contributorId":178942,"corporation":false,"usgs":true,"family":"Hurst","given":"William R.","affiliations":[],"preferred":false,"id":709901,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190696,"text":"70190696 - 2017 - Temporal variation in survival and recovery rates of lesser scaup: A response","interactions":[],"lastModifiedDate":"2017-11-27T13:04:14","indexId":"70190696","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation in survival and recovery rates of lesser scaup: A response","docAbstract":"<p><span>We recently analyzed long-term (1951–2011) continental band-recovery data from lesser scaup (</span><i>Aythya affinis</i><span>) and demonstrated that harvest rates declined through time, but annual survival rates exhibited no such trends; moreover, annual harvest and survival rates were uncorrelated for all age-sex classes. We therefore concluded that declining fecundity was most likely responsible for recent population declines, rather than changes in harvest or survival. Lindberg et al. (</span><a class=\"link__reference js-link__reference\" title=\"Link to bibliographic citation\" rel=\"references:#jwmg21315-bib-0020\" href=\"http://onlinelibrary.wiley.com/doi/10.1002/jwmg.21315/abstract#jwmg21315-bib-0020\" data-mce-href=\"http://onlinelibrary.wiley.com/doi/10.1002/jwmg.21315/abstract#jwmg21315-bib-0020\">2017</a><span>) critiqued our conclusions, arguing that we did little more than fail to reject a null hypothesis of compensatory mortality, postulated ecologically unrealistic changes in fecundity, and failed to give sufficient consideration to additive harvest mortality. Herein, we re-summarize our original evidence indicating that harvest has been compensatory, or at most weakly additive, and demonstrate that our analysis had sufficient power to detect strongly additive mortality if it occurred. We further demonstrate that our conclusions were not confounded by population size, band loss, or individual heterogeneity, as suggested by Lindberg et al. (</span><a class=\"link__reference js-link__reference\" title=\"Link to bibliographic citation\" rel=\"references:#jwmg21315-bib-0020\" href=\"http://onlinelibrary.wiley.com/doi/10.1002/jwmg.21315/abstract#jwmg21315-bib-0020\" data-mce-href=\"http://onlinelibrary.wiley.com/doi/10.1002/jwmg.21315/abstract#jwmg21315-bib-0020\">2017</a><span>), and we provide additional support for our conjecture that low fecundity played a major role in declining scaup populations during 1983–2006. We therefore reiterate our original management recommendations: given low harvest rates and lack of demonstrable effect on scaup survival, harvest regulations could return to more liberal frameworks, and waterfowl biologists should work together to continue banding lesser scaup and use these data to explore alternative hypotheses to identify the true ecological causes of population change, given that it is unlikely to be excessive harvest.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21315","usgsCitation":"Arnold, T.W., Afton, A.D., Anteau, M.J., Koons, D.N., and Nicolai, C.A., 2017, Temporal variation in survival and recovery rates of lesser scaup: A response: Journal of Wildlife Management, v. 81, no. 7, p. 1142-1148, https://doi.org/10.1002/jwmg.21315.","productDescription":"7 p.","startPage":"1142","endPage":"1148","ipdsId":"IP-086063","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":345670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-28","publicationStatus":"PW","scienceBaseUri":"59b8f218e4b08b1644e0aeac","contributors":{"authors":[{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":710191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":710192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":710190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":710193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nicolai, Chris A.","contributorId":196372,"corporation":false,"usgs":false,"family":"Nicolai","given":"Chris","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":710194,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190693,"text":"70190693 - 2017 - Effects of tow transit on the efficacy of the Chicago Sanitary and Ship Canal Electric Dispersal Barrier System","interactions":[],"lastModifiedDate":"2017-11-29T16:33:05","indexId":"70190693","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of tow transit on the efficacy of the Chicago Sanitary and Ship Canal Electric Dispersal Barrier System","docAbstract":"<p><span>In 2016, the U.S. Fish and Wildlife Service, U.S. Geological Survey, and U.S. Army Corps of Engineers undertook a field study in the Chicago Sanitary and Ship Canal near Romeoville, Illinois to determine the influence of tow transit on the efficacy of the Electric Dispersal Barrier System (EDBS) in preventing the passage of juvenile fish (total length&nbsp;&lt;&nbsp;100&nbsp;millimeters (mm)). Dual-frequency identification sonar data showed that large schools of juvenile fish (mean school size of 120 fish; n&nbsp;=&nbsp;19) moved&nbsp;</span><i>upstream</i><span><span>&nbsp;</span>and crossed the electric field of an array in the EDBS concurrent with downstream-bound (downbound) loaded tows in 89.5% of trials. Smaller schools of juvenile fish (mean school size of 98 fish; n&nbsp;=&nbsp;15) moved<span>&nbsp;</span></span><i>downstream</i><span><span>&nbsp;</span>and crossed the electric field of an array in the EDBS concurrent with upstream-bound (upbound) loaded tows in 73.3% of trials. Observed fish passages through the EDBS were always opposite to the direction of tow movement, and not associated with propeller wash. These schools were not observed to breach the EDBS in the absence of a tow and showed no signs of incapacitation in the barrier during tow passage. Loaded tows transiting the EDBS create a return current of water flowing between the tow and the canal wall that typically travels opposite the direction of tow movement, and cause a decrease in the voltage gradient of the barrier of up to 88%. Return currents and decreases in voltage gradients induced by tow passage likely contributed to the observed fish passage through the EDBS. The efficacy of the EDBS in preventing the passage of small, wild fish is compromised while tows are moving across the barrier system. In particular, downbound tows moving through the EDBS create a pathway for the upstream movement of small fish, and therefore may increase the risk of transfer of invasive fishes from the Mississippi River Basin to the Great Lakes Basin.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.08.013","usgsCitation":"Davis, J.J., LeRoy, J., Shanks, M.R., Jackson, P.R., Engel, F.L., Murphy, E.A., Baxter, C.L., McInerney, M.K., and Barkowski, N.A., 2017, Effects of tow transit on the efficacy of the Chicago Sanitary and Ship Canal Electric Dispersal Barrier System: Journal of Great Lakes Research, v. 43, no. 6, p. 1119-1131, https://doi.org/10.1016/j.jglr.2017.08.013.","productDescription":"13 p.","startPage":"1119","endPage":"1131","ipdsId":"IP-086419","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":469530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.08.013","text":"Publisher Index Page"},{"id":345662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Romeoville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.06166410446166,\n              41.64078396644512\n            ],\n            [\n              -88.05765151977539,\n              41.64078396644512\n            ],\n            [\n              -88.05765151977539,\n              41.648192108560146\n            ],\n            [\n              -88.06166410446166,\n              41.648192108560146\n            ],\n            [\n              -88.06166410446166,\n              41.64078396644512\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59b8f219e4b08b1644e0aeaf","contributors":{"authors":[{"text":"Davis, Jeremiah J.","contributorId":150963,"corporation":false,"usgs":false,"family":"Davis","given":"Jeremiah","email":"","middleInitial":"J.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":710181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeRoy, Jessica Z. jleroy@usgs.gov","contributorId":174538,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica Z.","email":"jleroy@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":710178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanks, Matthew R.","contributorId":196367,"corporation":false,"usgs":false,"family":"Shanks","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":710182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Patrick Ryan","contributorId":34043,"corporation":false,"usgs":true,"family":"Jackson","given":"Patrick","email":"","middleInitial":"Ryan","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":710179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engel, Frank L. 0000-0002-4253-2625 fengel@usgs.gov","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":5463,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","email":"fengel@usgs.gov","middleInitial":"L.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Elizabeth A. 0000-0002-8939-7678 emurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-8939-7678","contributorId":196368,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth","email":"emurphy@usgs.gov","middleInitial":"A.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710183,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baxter, Carey L.","contributorId":196369,"corporation":false,"usgs":false,"family":"Baxter","given":"Carey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":710184,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McInerney, Michael K.","contributorId":196370,"corporation":false,"usgs":false,"family":"McInerney","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":710185,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barkowski, Nicholas A.","contributorId":196371,"corporation":false,"usgs":false,"family":"Barkowski","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":710186,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70190433,"text":"ofr20171113 - 2017 - Risk assessment for the reintroduction of anadromous salmonids upstream of Chief Joseph and Grand Coulee Dams, Northeastern Washington","interactions":[],"lastModifiedDate":"2019-12-27T11:45:30","indexId":"ofr20171113","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2017","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":"2017-1113","title":"Risk assessment for the reintroduction of anadromous salmonids upstream of Chief Joseph and Grand Coulee Dams, Northeastern Washington","docAbstract":"<p><span>The Upper Columbia United Tribes (UCUT; Spokane, Colville, Kootenai, Coeur d’Alene, and Kalispel Tribes) and Washington Department of Fish and Wildlife want to reintroduce anadromous salmonids to their historical range to restore ecosystem function and lost cultural and spiritual relationships in the upper Columbia River, northeastern Washington. The UCUT contracted with the U.S. Geological Survey to assess risks to resident taxa (existing fish populations in the reintroduction area upstream of Chief Joseph and Grand Coulee Dams) and reintroduced salmon associated with reintroduction. We developed a risk assessment framework for reintroduction of anadromous salmonids upstream of Chief Joseph and Grand Coulee Dams. To accomplish this goal, we applied strategies identified in previous risk assessment frameworks for reintroduction. The risk assessment is an initial step towards an anadromous reintroduction strategy. An initial list of potential donor sources for reintroduction species was developed from previous published sources for Chinook Salmon (</span><i><span>Oncorhynchus tshawytscha</span></i><span>) donors in the Transboundary Reach of the Columbia River, British Columbia; an ecological risk assessment of upper Columbia River hatchery programs on non-target taxa of concern; and a review of existing hatchery programs</span></p><p><span>During two workshops, we further identified and ranked potential donor sources of anadromous Redband Trout (steelhead; </span><i><span>O. mykiss</span></i><span>), Chinook Salmon, Sockeye Salmon (</span><i><span>O. nerka</span></i><span>), and Coho Salmon (</span><i><span>O. kisutch</span></i><span>). We also identified resident fish populations of interest and their primary habitat, location, status, and pathogen concerns to determine the potential risks of reintroduction. Species were deemed of interest based on resource management and potential interactions (that is, genetics, competition, and predation) with introduced species. We developed tables of potential donors by species and characterized potential sources (hatchery and natural origins), populations (individual runs), broodstock management and history, and potential constraints (that is, Endangered Species Act [ESA] listing, Evolutionarily Significant Unit concerns, pathogens, and availability). During the workshops, a group of regional fisheries and topic experts subjectively ranked the relative risks of pathogens, genetic effects, predation, and competition to resident fish and reintroduced salmonids. We assessed the pathogen risk of each potential donor for introducing new pathogens and the increased burden to existing pathogens for resident species upstream of the dams. We considered genetic risks to resident and downstream conspecifics and ecological impacts, including competition for food and space, predator-prey interactions, and ecosystem benefits/impacts. Each reintroduced species donor source was ranked based on abundance/viability (demographic risk to source and feasibility of collection), ancestral/genetic similarity (evolutionary similarity to historical populations), local adaptation (geographic proximity/similarity of source conditions to reintroduction conditions), and life history compatibility (including migration; spawn timing; and relative usage of reservoir, main-stem, or tributary habitats) with environmental conditions in the reintroduction area. We synthesized this information by species for all potential donors, in which an overall score and ranking system was established for decision support in donor selection for reintroduction into the upper Columbia River. We also provided information outside the ranking process by:</span></p><ol><li>Identifying predator-prey interactions and competition for food and space among species,</li><li>Developing a decision support framework for donor selection, and</li><li>Providing decision support for reintroduction strategies.</li></ol>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171113","collaboration":"Prepared in cooperation with the Upper Columbia United Tribes","usgsCitation":"Hardiman, J.M., Breyta, R.B., Haskell, C.A., Ostberg, C.O., Hatten, J.R., and Connolly, P.J., 2017, Risk assessment for the reintroduction of anadromous salmonids upstream of Chief Joseph and Grand Coulee Dams, northeastern Washington: U.S. Geological Survey Open-File Report 2017 -1113, 87 p., https://doi.org/10.3133/ofr20171113.","productDescription":"vi, 87 p.","numberOfPages":"98","onlineOnly":"Y","ipdsId":"IP-087066","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":345623,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1113/coverthb.jpg"},{"id":345624,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1113/ofr20171113.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1113"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River Basin, Colville Reservation, Spokane Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.33300781249999,\n              47.15236927446393\n            ],\n            [\n              -117.158203125,\n              47.15236927446393\n            ],\n            [\n              -117.158203125,\n              48.86471476180277\n            ],\n            [\n              -121.33300781249999,\n              48.86471476180277\n            ],\n            [\n              -121.33300781249999,\n              47.15236927446393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Geographic Area of Interest<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Glossary<br></li><li>Appendixes A–C<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-09-12","noUsgsAuthors":false,"publicationDate":"2017-09-12","publicationStatus":"PW","scienceBaseUri":"59b8f21de4b08b1644e0aed5","contributors":{"authors":[{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, Rachel B.","contributorId":196366,"corporation":false,"usgs":true,"family":"Breyta","given":"Rachel B.","affiliations":[],"preferred":false,"id":709130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haskell, Craig A. 0000-0002-3604-1758 chaskell@usgs.gov","orcid":"https://orcid.org/0000-0002-3604-1758","contributorId":3458,"corporation":false,"usgs":true,"family":"Haskell","given":"Craig","email":"chaskell@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709133,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":709131,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190617,"text":"70190617 - 2017 - Long-term trends in midwestern milkweed abundances and their relevance to monarch butterfly declines","interactions":[],"lastModifiedDate":"2017-09-11T15:20:44","indexId":"70190617","displayToPublicDate":"2017-09-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in midwestern milkweed abundances and their relevance to monarch butterfly declines","docAbstract":"<p><span>Declines in monarch butterfly populations have prompted investigation into the sensitivity of their milkweed host plants to land-use change. Documented declines in milkweed abundance in croplands have spurred efforts to promote milkweeds in other habitats. Nevertheless, our current understanding of milkweed populations is poor. We used a long-term plant survey from Illinois to evaluate whether trends in milkweed abundance have caused monarch decline and to highlight the habitat-management practices that promote milkweeds. Milkweed abundance in natural areas has not declined precipitously, although when croplands are considered, changes in agricultural weed management have led to a 68% loss of milkweed available for monarchs across the region. Midsuccessional plant communities with few invasive species provide optimal milkweed habitat. The augmentation of natural areas and the management of existing grasslands, such as less frequent mowing and woody- and exotic-species control, may replace some of the milkweed that has been lost from croplands.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/biosci/biw186","collaboration":"Illinois Natural History Survey","usgsCitation":"Zaya, D.N., Pearse, I.S., and Spyreas, G., 2017, Long-term trends in midwestern milkweed abundances and their relevance to monarch butterfly declines: BioScience, v. 67, no. 4, p. 343-356, https://doi.org/10.1093/biosci/biw186.","productDescription":"14 p.","startPage":"343","endPage":"356","ipdsId":"IP-081255","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biw186","text":"Publisher Index 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,{"id":70190614,"text":"70190614 - 2017 - QFASAR: Quantitative fatty acid signature analysis with R","interactions":[],"lastModifiedDate":"2018-04-21T13:28:12","indexId":"70190614","displayToPublicDate":"2017-09-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"QFASAR: Quantitative fatty acid signature analysis with R","docAbstract":"<ol id=\"mee312740-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Knowledge of predator diets provides essential insights into their ecology, yet diet estimation is challenging and remains an active area of research.</li><li>Quantitative fatty acid signature analysis (QFASA) is a popular method of estimating diet composition that continues to be investigated and extended. However, software to implement QFASA has only recently become publicly available.</li><li>I summarize a new R package,<span>&nbsp;</span><span class=\"smallCaps\">qfasar</span>, for diet estimation using QFASA methods. The package also provides functionality to evaluate and potentially improve the performance of a library of prey signature data, compute goodness-of-fit diagnostics, and support simulation-based research. Several procedures in the package have not previously been published.</li><li><span class=\"smallCaps\">qfasar</span><span>&nbsp;</span>makes traditional and recently published QFASA diet estimation methods accessible to ecologists for the first time. Use of the package is illustrated with signature data from Chukchi Sea polar bears and potential prey species.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12740","usgsCitation":"Bromaghin, J.F., 2017, QFASAR: Quantitative fatty acid signature analysis with R: Methods in Ecology and Evolution, v. 8, no. 9, p. 1158-1162, https://doi.org/10.1111/2041-210X.12740.","productDescription":"5 p.","startPage":"1158","endPage":"1162","ipdsId":"IP-080241","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469531,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12740","text":"Publisher Index Page"},{"id":438216,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71G0JC9","text":"USGS data release","linkHelpText":"qfasar: Quantitative Fatty Acid Signature Analysis in R"},{"id":345619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-18","publicationStatus":"PW","scienceBaseUri":"59b76eb3e4b08b1644ddfaba","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":710019,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190506,"text":"ofr20171109 - 2017 - Bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries in Ithaca, New York, 2016","interactions":[],"lastModifiedDate":"2017-09-08T16:46:32","indexId":"ofr20171109","displayToPublicDate":"2017-09-08T17:30:00","publicationYear":"2017","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":"2017-1109","title":"Bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries in Ithaca, New York, 2016","docAbstract":"<p>From July 14 to July 20, 2016, the U.S. Geological Survey, in cooperation with the City of Ithaca, New York, and the New York State Department of State, surveyed the bathymetry of the Cayuga Inlet flood-control channel and the mouths of selected tributaries to Cayuga Inlet and Cayuga Lake in Ithaca, N.Y. The flood-control channel, built by the U.S. Army Corps of Engineers between 1965 and 1970, was designed to convey flood flows from the Cayuga Inlet watershed through the City of Ithaca and minimize possible flood damages. Since that time, the channel has infrequently been maintained by dredging, and sediment accumulation and resultant shoaling have greatly decreased the conveyance of the channel and its navigational capability.</p><p>U.S. Geological Survey personnel collected bathymetric data by using an acoustic Doppler current profiler. The survey produced a dense dataset of water depths that were converted to bottom elevations. These elevations were then used to generate a geographic information system bathymetric surface. The bathymetric data and resultant bathymetric surface show the current condition of the channel and provide the information that governmental agencies charged with maintaining the Cayuga Inlet for flood-control and navigational purposes need to make informed decisions regarding future maintenance measures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171109","collaboration":"Prepared in cooperation with the  City of Ithaca, New York, and the New York State Department of State","usgsCitation":"Wernly, J.F., Nystrom, E.A., and Coon, W.F., 2017, Bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries in Ithaca, New York, 2016: U.S. Geological Survey Open-File Report 2017–1109, 9 p., https://doi.org/10.3133/ofr20171109.","productDescription":"Report: v, 9 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-080379","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":438218,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K935NQ","text":"USGS data release","linkHelpText":"Geospatial dataset of bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries in Ithaca, New York, 2016"},{"id":345569,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1109/coverthb.jpg"},{"id":345570,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1109/ofr20171109.pdf","text":"Report","size":"1.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1109"},{"id":345572,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7K935NQ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial dataset of bathymetric survey of the Cayuga Inlet flood-control channel and selected tributaries, Ithaca, N.Y., 2016"}],"country":"United States","state":"New York","city":"Ithaca","otherGeospatial":"Cayuga Inlet Flood-Control Channel ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.52423858642578,\n              42.42586409208738\n            ],\n            [\n              -76.48801803588867,\n              42.42586409208738\n            ],\n            [\n              -76.48801803588867,\n              42.46437270371863\n            ],\n            [\n              -76.52423858642578,\n              42.46437270371863\n            ],\n            [\n              -76.52423858642578,\n              42.42586409208738\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://ny.water.usgs.gov\" data-mce-href=\"https://ny.water.usgs.gov\">New York Water Science Center</a><br> U.S. Geological Survey <br> 30 Brown Road <br> Ithaca, NY 14850</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Bathymetric Survey</li><li>Creation of Bathymetric Surface</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2017-09-08","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"59b3ac2de4b08b1644d8f193","contributors":{"authors":[{"text":"Wernly, John F. 0000-0001-9445-1205 jwernly@usgs.gov","orcid":"https://orcid.org/0000-0001-9445-1205","contributorId":196159,"corporation":false,"usgs":true,"family":"Wernly","given":"John","email":"jwernly@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":709494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188989,"text":"sir20175060 - 2017 - Three-dimensional hydrogeologic framework model of the Rio Grande transboundary region of New Mexico and Texas, USA, and northern Chihuahua, Mexico","interactions":[],"lastModifiedDate":"2017-09-08T16:13:55","indexId":"sir20175060","displayToPublicDate":"2017-09-08T15:00:00","publicationYear":"2017","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":"2017-5060","title":"Three-dimensional hydrogeologic framework model of the Rio Grande transboundary region of New Mexico and Texas, USA, and northern Chihuahua, Mexico","docAbstract":"<p>As part of a U.S. Geological Survey study in cooperation with the Bureau of Reclamation, a digital three-dimensional hydrogeologic framework model was constructed for the Rio Grande transboundary region of New Mexico and Texas, USA, and northern Chihuahua, Mexico. This model was constructed to define the aquifer system geometry and subsurface lithologic characteristics and distribution for use in a regional numerical hydrologic model. The model includes five hydrostratigraphic units: river channel alluvium, three informal subdivisions of Santa Fe Group basin fill, and an undivided pre-Santa Fe Group bedrock unit. Model input data were compiled from published cross sections, well data, structure contour maps, selected geophysical data, and contiguous compilations of surficial geology and structural features in the study area. These data were used to construct faulted surfaces that represent the upper and lower subsurface hydrostratigraphic unit boundaries. The digital three-dimensional hydrogeologic framework model is constructed through combining faults, the elevation of the tops of each hydrostratigraphic unit, and boundary lines depicting the subsurface extent of each hydrostratigraphic unit. The framework also compiles a digital representation of the distribution of sedimentary facies within each hydrostratigraphic unit. The digital three-dimensional hydrogeologic model reproduces with reasonable accuracy the previously published subsurface hydrogeologic conceptualization of the aquifer system and represents the large-scale geometry of the subsurface aquifers. The model is at a scale and resolution appropriate for use as the foundation for a numerical hydrologic model of the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175060","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Sweetkind, D.S., 2017, Three-dimensional hydrogeologic framework model of the Rio Grande transboundary region of New Mexico and Texas, USA, and northern Chihuahua, Mexico: U.S. Geological Survey Scientific Investigations Report 2017-5060, 49 p., https://doi.org/10.3133/sir20175060.","productDescription":"Report: vii, 49 p.; Appendixes 1-2; Data Release","numberOfPages":"61","onlineOnly":"Y","ipdsId":"IP-074910","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":345355,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JM27T6","text":"USGS Data Release","description":"USGS data release","linkHelpText":"Data release of Three-Dimensional Hydrogeologic Framework Model of the Rio Grande Transboundary Region of New Mexico and Texas, USA and Northern Chihuahua, Mexico"},{"id":345356,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2017/5060/sir20175060_appendix1.mp4","text":"Appendix 1. Animation—Solid Model Reveal","size":"126 MB, mp4","description":"SIR 2017–5060 Appendix 1"},{"id":345357,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2017/5060/sir20175060_appendix2.mp4","text":"Appendix 2. Animation—Cross Section Panels","size":"85.7 MB, mp4","description":"SIR 2017–5060 Appendix 2"},{"id":345354,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5060/sir20175060.pdf","text":"Report","size":"13.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5060"},{"id":345353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5060/coverthb.jpg"}],"country":"Mexico, United States","state":"Chihuahua, New Mexico, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.81158447265624,\n              31.5\n            ],\n            [\n              -106.14990234375,\n              31.5\n            ],\n            [\n              -106.14990234375,\n              33\n            ],\n            [\n              -107.81158447265624,\n              33\n            ],\n            [\n              -107.81158447265624,\n              31.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://www.usgs.gov/centers/gecsc/\" data-mce-href=\"http://www.usgs.gov/centers/gecsc/\">Director, Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-980<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Stratigraphic and Structural Setting</li><li>Hydrostratigraphic Units For 3D Hydrogeologic Framework Model</li><li>Data Sources</li><li>Modeling Methodology</li><li>Elevation, Thickness, Unit Extent, and Facies Patterns of Hydrostratigraphic Units</li><li>Visualization of the 3D Hydrogeologic Framework Model</li><li>Model Evaluation, Use, and Limitations</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Animation—Solid Model Reveal</li><li>Appendix 2. Animation—Cross Section Panels</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-09-08","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"59b3ac2ee4b08b1644d8f19b","contributors":{"authors":[{"text":"Sweetkind, Donald S. dsweetkind@usgs.gov","contributorId":735,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","email":"dsweetkind@usgs.gov","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":false,"id":702292,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190235,"text":"cir1436 - 2017 - U.S. Geological Survey sage-grouse and sagebrush ecosystem research annual report for 2017","interactions":[],"lastModifiedDate":"2017-09-08T16:07:13","indexId":"cir1436","displayToPublicDate":"2017-09-08T12:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1436","title":"U.S. Geological Survey sage-grouse and sagebrush ecosystem research annual report for 2017","docAbstract":"<p>The sagebrush (<i>Artemisia</i> spp.) ecosystem extends across a large portion of the Western United States, and the greater sage-grouse (<i>Centrocercus urophasianus</i>) is one of the iconic species of this ecosystem. Greater sage-grouse populations occur in 11 States and are dependent on relatively large expanses of sagebrush-dominated habitat. Sage-grouse populations have been experiencing long-term declines owing to multiple stressors, including interactions among fire, exotic plant invasions, and human land uses, which have resulted in significant loss, fragmentation, and degradation of landscapes once dominated by sagebrush. In addition to the sage-grouse, over 350 species of plants and animals are dependent on the sagebrush ecosystem.</p><p>Increasing knowledge about how these species and the sagebrush ecosystem respond to these stressors and to management actions can inform and improve strategies to maintain existing areas of intact sagebrush and restore degraded landscapes. The U.S. Geological Survey (USGS) has a broad research program focused on providing the science needed to inform these strate-gies and to help land and resource managers at the Federal, State, Tribal, and local levels as they work towards sustainable sage-grouse populations and restored landscapes for the broad range of uses critical to stakeholders in the Western United States.</p><p>USGS science has provided a foundation for major land and resource management decisions including those that precluded the need to list the greater sage-grouse under the Endangered Species Act. The USGS is continuing to build on that foundation to inform science-based decisions to help support local economies and the continued conservation, management, and restoration of the sagebrush ecosystem.</p><p>This report contains descriptions of USGS sage-grouse and sagebrush ecosystem research projects that are ongoing or were active during 2017 and is organized into five thematic areas: Fire, Invasive Species, Restoration, Sagebrush and Sage-Grouse, and Climate and Weather.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1436","isbn":"978-1-4113-4168-5","usgsCitation":"Hanser, S.E., ed., 2017, U.S. Geological Survey sage-grouse and sagebrush ecosystem research annual report for 2017: U.S. Geological Survey Circular 1436, 54 p., https://doi.org/10.3133/cir1436.","productDescription":"iv, 54 p.","numberOfPages":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-088857","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":345426,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1436/circ1436.pdf","text":"Report","size":"12.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1436"},{"id":345425,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1436/coverthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/science/mission-areas/ecosystems/sage-grouse-sagebrush-steppe\" data-mce-href=\"https://www.usgs.gov/science/mission-areas/ecosystems/sage-grouse-sagebrush-steppe\">Sage-Grouse and Sagebrush Ecosystem Program</a><br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> Mail Stop 301<br> Reston, VA 20192</p>","tableOfContents":"<ul><li>Research To support the Management of Sage-Grouse and the Sagebrush Ecosystem</li><li>Structure of the U.S. Geological Survey Sage-Grouse and Sagebrush Ecosystem Research Program</li><li>List of Projects</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-09-08","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"59b3ac2fe4b08b1644d8f19f","contributors":{"editors":[{"text":"Hanser, Steven E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":127554,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":709464,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":70190402,"text":"cir1435 - 2017 - U.S. Geological Survey—Energy and wildlife research annual report for 2017","interactions":[],"lastModifiedDate":"2017-09-08T16:04:53","indexId":"cir1435","displayToPublicDate":"2017-09-08T01:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1435","title":"U.S. Geological Survey—Energy and wildlife research annual report for 2017","docAbstract":"<h1>Introduction</h1><p>Terrestrial and aquatic ecosystems provide valuable services to humans and are a source of clean water, energy, raw materials, and productive soils. The Nation’s food supply is more secure because of wildlife. For example, native pollinators enhance agricultural crops, and insect-eating bats provide pest control services worth billions of dollars to farmers annually. Fish and wildlife are also vital to a vibrant outdoor recreation and tourism industry. Recreational activities, such as hunting, shooting, boating, and angling, generated \\$1.1 billion in excise taxes paid to State wildlife agencies in 2017. National parks, wildlife refuges, and monuments accounted for $35 billion in economic output and 318,000 jobs nationwide in 2016. Additional economic benefits are generated from the use and enjoyment of wildlife in State-owned lands and waters.</p><p>Although the United States is rich in natural resources, human activity continues to place new pressures on fish and wildlife and the habitats they rely on. The United States became the world’s top producer of petroleum and natural gas products in 2012, surpassing Russia’s natural gas production levels in 2009 and Saudi Arabia’s petroleum production in 2013. The U.S. Energy Information Administration projects that the demand for liquid fuel, natural gas, and renewable energy will show strong growth in the next 20 years. Wind energy has demonstrated consistent growth since 2007 with now more than 53,000 wind turbines contributing to power grids in 41 States, Guam, and Puerto Rico. Solar energy has seen rapid growth since 2013 and made up nearly one-third of the total electricity generation additions in 2016. Yet as our Nation works to advance energy security and sustain wildlife, some conflicts have surfaced. Impacts of an expanding energy infrastructure include fragmentation and loss of habitat as well as mortality of birds, bats, fish, and other animals from interactions with energy generation facilities. Because energy development can often occur in wildlife habitats, ecological science can help guide project siting and operational decisions to areas that present the lowest risk to wildlife and energy developers.</p><p>To address these challenges and make the most of new opportunities, the U.S. Geological Survey is producing innovative science to develop workable solutions that can help sustain wildlife and the habitat they rely upon, while allowing informed development.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1435","isbn":"978-1-4113-4169-2","usgsCitation":"Khalil, Mona, ed., 2017, U.S. Geological Survey—Energy and wildlife research annual report for 2017: U.S. Geological Survey Circular 1435, 91 p., https://doi.org/10.3133/cir1435.","productDescription":"iv, 91 p.","numberOfPages":"100","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-088712","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":345415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1435/coverthb2.jpg"},{"id":345416,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1435/circ1435.pdf","text":"Report","size":"23.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1435"}],"contact":"<p><a href=\"https://www2.usgs.gov/ecosystems/energy_wildlife\" data-mce-href=\"https://www2.usgs.gov/ecosystems/energy_wildlife\">Energy and Wildlife Program</a><br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> Mail Stop 301<br> Reston, VA 20192</p>","tableOfContents":"<ul><li>Science to Understand Risks, Measure Impacts, and Inform Solutions</li><li>Partners</li><li>USGS Mission</li><li>Energy and Widlife Science Strategy</li><li>Updates to the Annual Report</li><li>List of Projects</li><li>Energy Icons</li><li>Study Locations</li><li>Project Descriptions</li><li>References Cited</li><li>List of Species</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-09-08","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"59b3ac2fe4b08b1644d8f1a4","contributors":{"editors":[{"text":"Khalil, Mona 0000-0002-6046-1293 mkhalil@usgs.gov","orcid":"https://orcid.org/0000-0002-6046-1293","contributorId":174228,"corporation":false,"usgs":true,"family":"Khalil","given":"Mona","email":"mkhalil@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":709415,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":70190588,"text":"70190588 - 2017 - Evaluation of the U.S. Geological Survey Landsat burned area essential climate variable across the conterminous U.S. using commercial high-resolution imagery","interactions":[],"lastModifiedDate":"2017-09-08T11:45:34","indexId":"70190588","displayToPublicDate":"2017-09-08T00:00:00","publicationYear":"2017","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":"Evaluation of the U.S. Geological Survey Landsat burned area essential climate variable across the conterminous U.S. using commercial high-resolution imagery","docAbstract":"<p><span>The U.S. Geological Survey has produced the Landsat Burned Area Essential Climate Variable (BAECV) product for the conterminous United States (CONUS), which provides wall-to-wall annual maps of burned area at 30 m resolution (1984–2015). Validation is a critical component in the generation of such remotely sensed products. Previous efforts to validate the BAECV relied on a reference dataset derived from Landsat, which was effective in evaluating the product across its timespan but did not allow for consideration of inaccuracies imposed by the Landsat sensor itself. In this effort, the BAECV was validated using 286 high-resolution images, collected from GeoEye-1, QuickBird-2, Worldview-2 and RapidEye satellites. A disproportionate sampling strategy was utilized to ensure enough burned area pixels were collected. Errors of omission and commission for burned area averaged 22 ± 4% and 48 ± 3%, respectively, across CONUS. Errors were lowest across the western U.S. The elevated error of commission relative to omission was largely driven by patterns in the Great Plains which saw low errors of omission (13 ± 13%) but high errors of commission (70 ± 5%) and potentially a region-growing function included in the BAECV algorithm. While the BAECV reliably detected agricultural fires in the Great Plains, it frequently mapped tilled areas or areas with low vegetation as burned. Landscape metrics were calculated for individual fire events to assess the influence of image resolution (2 m, 30 m and 500 m) on mapping fire heterogeneity. As the spatial detail of imagery increased, fire events were mapped in a patchier manner with greater patch and edge densities, and shape complexity, which can influence estimates of total greenhouse gas emissions and rates of vegetation recovery. The increasing number of satellites collecting high-resolution imagery and rapid improvements in the frequency with which imagery is being collected means greater opportunities to utilize these sources of imagery for Landsat product validation.&nbsp;</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs9070743","usgsCitation":"Vanderhoof, M.K., Brunner, N.M., Beal, Y.G., and Hawbaker, T., 2017, Evaluation of the U.S. Geological Survey Landsat burned area essential climate variable across the conterminous U.S. using commercial high-resolution imagery: Remote Sensing, v. 9, no. 7, p. 1-24, https://doi.org/10.3390/rs9070743.","productDescription":"Article 743; 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-085973","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":461411,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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nbrunner@usgs.gov","orcid":"https://orcid.org/0000-0001-9657-2860","contributorId":5323,"corporation":false,"usgs":true,"family":"Brunner","given":"Nicole","email":"nbrunner@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":709914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beal, Yen-Ju G. 0000-0002-5538-5687 ygbeal@usgs.gov","orcid":"https://orcid.org/0000-0002-5538-5687","contributorId":5328,"corporation":false,"usgs":true,"family":"Beal","given":"Yen-Ju","email":"ygbeal@usgs.gov","middleInitial":"G.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":709915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 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,{"id":70190587,"text":"70190587 - 2017 - Validation of the USGS Landsat Burned Area Essential Climate Variable (BAECV) across the conterminous United States","interactions":[],"lastModifiedDate":"2017-09-08T11:49:44","indexId":"70190587","displayToPublicDate":"2017-09-08T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Validation of the USGS Landsat Burned Area Essential Climate Variable (BAECV) across the conterminous United States","docAbstract":"<p><span>The Landsat Burned Area Essential Climate Variable (BAECV), developed by the U.S. Geological Survey (USGS), capitalizes on the long temporal availability of Landsat imagery to identify burned areas across the conterminous United States (CONUS) (1984–2015). Adequate validation of such products is critical for their proper usage and interpretation. Validation of coarse-resolution products often relies on independent data derived from moderate-resolution sensors (e.g., Landsat). Validation of Landsat products, in turn, is challenging because there is no corresponding source of high-resolution, multispectral imagery that has been systematically collected in space and time over the entire temporal extent of the Landsat archive. Because of this, comparison between high-resolution images and Landsat science products can help increase user's confidence in the Landsat science products, but may not, alone, be adequate. In this paper, we demonstrate an approach to systematically validate the Landsat-derived BAECV product. Burned area extent was mapped for Landsat image pairs using a manually trained semi-automated algorithm that was manually edited across 28 path/rows and five different years (1988, 1993, 1998, 2003, 2008). Three datasets were independently developed by three analysts and the datasets were integrated on a pixel by pixel basis in which at least one to all three analysts were required to agree a pixel was burned. We found that errors within our Landsat reference dataset could be minimized by using the rendition of the dataset in which pixels were mapped as burned if at least two of the three analysts agreed. BAECV errors of omission and commission for the detection of burned pixels averaged 42% and 33%, respectively for CONUS across all five validation years. Errors of omission and commission were lowest across the western CONUS, for example in the shrub and scrublands of the Arid West (31% and 24%, respectively), and highest in the grasslands and agricultural lands of the Great Plains in central CONUS (62% and 57%, respectively). The BAECV product detected most (&gt;</span><span>&nbsp;</span><span>65%) fire events &gt;</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>ha across the western CONUS (Arid and Mountain West ecoregions). Our approach and results demonstrate that a thorough validation of Landsat science products can be completed with independent Landsat-derived reference data, but could be strengthened by the use of complementary sources of high-resolution data.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2017.06.025","usgsCitation":"Vanderhoof, M.K., Fairaux, N., Beal, Y.G., and Hawbaker, T., 2017, Validation of the USGS Landsat Burned Area Essential Climate Variable (BAECV) across the conterminous United States: Remote Sensing of Environment, v. 198, p. 393-406, https://doi.org/10.1016/j.rse.2017.06.025.","productDescription":"14 p.","startPage":"393","endPage":"406","ipdsId":"IP-079461","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":438220,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T151VX","text":"USGS data release","linkHelpText":"Data Release for the validation of the USGS Landsat Burned Area Product across the conterminous U.S."},{"id":345579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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