Conservation of endangered species increasingly envisages complex strategies that integrate captive and wild management actions. Management decisions in this context must be made in the face of uncertainty, often with limited capacity to collect information. Adaptive management (AM) combines management and monitoring, with the aim of updating knowledge and improving decision-making over time. We provide a guide for managers who may realize the potential of AM, but are unsure where to start. The urgent need for iterative management decisions, the existence of uncertainty, and the opportunity for learning offered by often highly-controlled captive environments create favorable conditions for AM. However, experiments and monitoring may be complicated by small sample sizes, and the ability to control the system, including stochasticity and observability, may be limited toward the wild end of the spectrum. We illustrate the key steps to implementing AM in threatened species management using four case studies, including the management of captive programs for cheetah (Acinonyx jubatus) and whooping cranes (Grus americana), of a translocation protocol for Arizona cliffroses Purshia subintegra and of ongoing supplementary feeding of reintroduced hihi (Notiomystis cincta) populations. For each case study, we explain (1) how to clarify whether the decision can be improved by learning (i.e. it is iterative and complicated by uncertainty) and what the management objectives are; (2) how to articulate uncertainty via alternative, testable hypotheses such as competing models or parameter distributions; (3) how to formally define how additional information can be collected and incorporated in future management decisions.
","language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2016.04.026","usgsCitation":"Canessa, S., Guillera-Arroita, G., Lahoz-Monfort, J.J., Southwell, D.M., Armstrong, D., Chades, I., Lacy, R., and Converse, S.J., 2016, Adaptive management for improving species conservation across the captive-wild spectrum: Biological Conservation, v. 199, p. 123-131, https://doi.org/10.1016/j.biocon.2016.04.026.","productDescription":"9 p.","startPage":"123","endPage":"131","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073244","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488512,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000379559600017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c","text":"External Repository"},{"id":326093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"199","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a4591be4b0c4d7d8467438","contributors":{"authors":[{"text":"Canessa, Stefano","contributorId":149295,"corporation":false,"usgs":false,"family":"Canessa","given":"Stefano","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":644700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guillera-Arroita, Gurutzeta","contributorId":149296,"corporation":false,"usgs":false,"family":"Guillera-Arroita","given":"Gurutzeta","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":644701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lahoz-Monfort, Jose J.","contributorId":139965,"corporation":false,"usgs":false,"family":"Lahoz-Monfort","given":"Jose","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":644702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Southwell, Darren M","contributorId":149297,"corporation":false,"usgs":false,"family":"Southwell","given":"Darren","email":"","middleInitial":"M","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":644703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Doug P.","contributorId":24675,"corporation":false,"usgs":true,"family":"Armstrong","given":"Doug P.","affiliations":[],"preferred":false,"id":644704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chades, Iadine","contributorId":149298,"corporation":false,"usgs":false,"family":"Chades","given":"Iadine","email":"","affiliations":[{"id":12494,"text":"CSIRO Land and Water, Australia","active":true,"usgs":false}],"preferred":false,"id":644705,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lacy, Robert C","contributorId":149299,"corporation":false,"usgs":false,"family":"Lacy","given":"Robert C","affiliations":[{"id":12658,"text":"Chicago Zoological Society","active":true,"usgs":false}],"preferred":false,"id":644706,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":644699,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70175339,"text":"70175339 - 2016 - A method for examining the geospatial distribution of CO2 storage resources applied to the Pre-Punta Gorda Composite and Dollar Bay reservoirs of the South Florida Basin, U.S.A","interactions":[],"lastModifiedDate":"2016-08-05T12:29:58","indexId":"70175339","displayToPublicDate":"2016-08-04T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"A method for examining the geospatial distribution of CO2 storage resources applied to the Pre-Punta Gorda Composite and Dollar Bay reservoirs of the South Florida Basin, U.S.A","docAbstract":"This paper demonstrates geospatial modification of the USGS methodology for assessing geologic CO2 storage resources, and was applied to the Pre-Punta Gorda Composite and Dollar Bay reservoirs of the South Florida Basin. The study provides detailed evaluation of porous intervals within these reservoirs and utilizes GIS to evaluate the potential spatial distribution of reservoir parameters and volume of CO2 that can be stored. This study also shows that incorporating spatial variation of parameters using detailed and robust datasets may improve estimates of storage resources when compared to applying uniform values across the study area derived from small datasets, like many assessment methodologies. Geospatially derived estimates of storage resources presented here (Pre-Punta Gorda Composite = 105,570 MtCO2; Dollar Bay = 24,760 MtCO2) were greater than previous assessments, which was largely attributed to the fact that detailed evaluation of these reservoirs resulted in higher estimates of porosity and net-porous thickness, and areas of high porosity and thick net-porous intervals were incorporated into the model, likely increasing the calculated volume of storage space available for CO2 sequestration. The geospatial method for evaluating CO2 storage resources also provides the ability to identify areas that potentially contain higher volumes of storage resources, as well as areas that might be less favorable.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2016.06.010","usgsCitation":"Roberts-Ashby, T., and Ashby, B.N., 2016, A method for examining the geospatial distribution of CO2 storage resources applied to the Pre-Punta Gorda Composite and Dollar Bay reservoirs of the South Florida Basin, U.S.A: Marine and Petroleum Geology, v. 77, p. 141-159, https://doi.org/10.1016/j.marpetgeo.2016.06.010.","productDescription":"18 p.","startPage":"141","endPage":"159","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073465","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2016.06.010","text":"Publisher Index Page"},{"id":326136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"South Florida Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.94677734375,\n 28.17855984939698\n ],\n [\n -80.419921875,\n 28.430052892335723\n ],\n [\n -79.70581054687499,\n 26.990618722964737\n ],\n [\n -79.617919921875,\n 25.21488107113259\n ],\n [\n -82.4853515625,\n 24.156778233303413\n ],\n [\n -82.99072265625,\n 24.87646991083154\n ],\n [\n -82.803955078125,\n 25.96792222903405\n ],\n [\n -82.94677734375,\n 28.17855984939698\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8b0e4b0ebae89b7881b","contributors":{"authors":[{"text":"Roberts-Ashby, Tina 0000-0003-2940-1740 troberts-ashby@usgs.gov","orcid":"https://orcid.org/0000-0003-2940-1740","contributorId":173458,"corporation":false,"usgs":true,"family":"Roberts-Ashby","given":"Tina","email":"troberts-ashby@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":644776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashby, Brandon N.","contributorId":173459,"corporation":false,"usgs":false,"family":"Ashby","given":"Brandon","email":"","middleInitial":"N.","affiliations":[{"id":27233,"text":"Washington Gas / WGL Holdings, Inc., Springfield, VA 22151","active":true,"usgs":false}],"preferred":false,"id":644777,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174887,"text":"sir20165103 - 2016 - Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi","interactions":[],"lastModifiedDate":"2016-09-06T09:04:14","indexId":"sir20165103","displayToPublicDate":"2016-08-03T19:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5103","title":"Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi","docAbstract":"Statistical models were developed to estimate natural streamflow under low-flow conditions for streams with existing streamflow data at measurement sites on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi. Streamflow statistics used to describe the low-flow characteristics are flow-duration discharges that are equaled or exceeded between 50 and 95 percent of the time during the 30-year base period 1984–2013. Record-augmentation techniques were applied to develop statistical models relating concurrent streamflow data at the measurement sites and long-term data from nearby continuous-record streamflow-gaging stations that were in operation during the base period and were selected as index stations. Existing data and subsequent low-flow analyses of the available data help to identify streams in under-represented geographic areas and hydrogeologic settings where additional data collection is suggested.
Low-flow duration discharges were estimated for 107 measurement sites (including long-term and short-term continuous-record streamflow-gaging stations, and partial-record stations) and 27 index stations. The adequacy of statistical models was evaluated with correlation coefficients and modified Nash-Sutcliff coefficients of efficiency, and a majority of the low-flow duration-discharge estimates are satisfactory based on these regression statistics.
Molokaʻi and Hawaiʻi have the fewest number of measurement sites (that are not located on ephemeral stream reaches) at which flow-duration discharges were estimated, which can be partially explained by the limited number of index stations available on these islands that could be used for record augmentation. At measurement sites on some tributary streams, low-flow duration discharges could not be estimated because no adequate correlations could be developed with the index stations. These measurement sites are located on streams where duration-discharge estimates are available at long-term stations at other locations on the main stream channel to provide at least some definition of low-flow characteristics on that stream. In terms of general natural streamflow data availability, data are scarce in the leeward areas for all five islands as many leeward streams are dry or have minimal flow. Other under-represented areas include central Oʻahu, central Maui, and southeastern Maui.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165103","collaboration":"Prepared in cooperation with the State of Hawaiʻi Commission on Water Resource Management, State of Hawaiʻi Department of Hawaiian Home Lands, and Office of Hawaiian Affairs","usgsCitation":"Cheng, C.L., 2016, Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2016-5103, 36 p., https://dx.doi.org/10.3133/sir20165103.","productDescription":"Report: v, 36 p.; Appendixes 1-2","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065440","costCenters":[{"id":525,"text":"Pacific Islands Water Science 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U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
http://hi.water.usgs.gov/
Understanding groundwater-budget components, particularly groundwater recharge, is important to sustainably manage both groundwater and surface water supplies in the Colorado River basin now and in the future. This study quantifies projected changes in upper Colorado River basin (UCRB) groundwater recharge from recent historical (1950–2015) through future (2016–2099) time periods, using a distributed-parameter groundwater recharge model with downscaled climate data from 97 Coupled Model Intercomparison Project Phase 5 climate projections. Simulated future groundwater recharge in the UCRB is generally expected to be greater than the historical average in most decades. Increases in groundwater recharge in the UCRB are a consequence of projected increases in precipitation, offsetting reductions in recharge that would result from projected increased temperatures.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL069714","usgsCitation":"Tillman, F.D., Gangopadhyay, S., and Pruitt, T., 2016, Changes in groundwater recharge under projected climate in the upper Colorado River basin: Geophysical Research Letters, v. 43, no. 13, p. 6968-6974, https://doi.org/10.1002/2016GL069714.","productDescription":"7 p.","startPage":"6968","endPage":"6974","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075002","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":326086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.95068359374999,\n 36.527294814546245\n ],\n [\n -111.95068359374999,\n 42.032974332441405\n ],\n [\n -106.3916015625,\n 42.032974332441405\n ],\n [\n -106.3916015625,\n 36.527294814546245\n ],\n [\n -111.95068359374999,\n 36.527294814546245\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-08","publicationStatus":"PW","scienceBaseUri":"57a307a7e4b006cb455561ad","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":644666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":644667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175281,"text":"70175281 - 2016 - First detection of bat white-nose syndrome in western North America","interactions":[],"lastModifiedDate":"2018-04-02T10:06:05","indexId":"70175281","displayToPublicDate":"2016-08-03T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5160,"text":"mSphere","active":true,"publicationSubtype":{"id":10}},"title":"First detection of bat white-nose syndrome in western North America","docAbstract":"White-nose syndrome (WNS) is an emerging fungal disease of bats caused by Pseudogymnoascus destructans. Since it was first detected near Albany, NY, in 2006, the fungus has spread across eastern North America, killing unprecedented numbers of hibernating bats. The devastating impacts of WNS on Nearctic bat species are attributed to the likely introduction of P. destructans from Eurasia to naive host populations in eastern North America. Since 2006, the disease has spread in a gradual wavelike pattern consistent with introduction of the pathogen at a single location. Here, we describe the first detection of P. destructans in western North America in a little brown bat (Myotis lucifugus) from near Seattle, WA, far from the previously recognized geographic distribution of the fungus. Whole-genome sequencing and phylogenetic analyses indicated that the isolate of P. destructans from Washington grouped with other isolates of a presumed clonal lineage from the eastern United States. Thus, the occurrence of P. destructans in Washington does not likely represent a novel introduction of the fungus from Eurasia, and the lack of intensive surveillance in the western United States makes it difficult to interpret whether the occurrence of P. destructans in the Pacific Northwest is disjunct from that in eastern North America. Although there is uncertainty surrounding the impacts of WNS in the Pacific Northwest, the presence of the pathogen in western North America could have major consequences for bat conservation.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mSphere.00148-16","usgsCitation":"Lorch, J.M., Palmer, J.M., Lindner, D.L., Ballmann, A., George, K., Griffin, K.M., Knowles, S., Huckabee, J.R., Haman, K.H., Anderson, C.D., Becker, P.A., Buchanan, J.B., Foster, J., and Blehert, D.S., 2016, First detection of bat white-nose syndrome in western North America: mSphere, v. 1, no. 4, e00148-16; 5 p., https://doi.org/10.1128/mSphere.00148-16.","productDescription":"e00148-16; 5 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076372","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470685,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msphere.00148-16","text":"Publisher Index 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Panama","interactions":[],"lastModifiedDate":"2016-09-02T14:45:49","indexId":"70176243","displayToPublicDate":"2016-08-03T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Formation of the Isthmus of Panama","docAbstract":"The formation of the Isthmus of Panama stands as one of the greatest natural events of the Cenozoic, driving profound biotic transformations on land and in the oceans. Some recent studies suggest that the Isthmus formed many millions of years earlier than the widely recognized age of approximately 3 million years ago (Ma), a result that if true would revolutionize our understanding of environmental, ecological, and evolutionary change across the Americas. To bring clarity to the question of when the Isthmus of Panama formed, we provide an exhaustive review and reanalysis of geological, paleontological, and molecular records. These independent lines of evidence converge upon a cohesive narrative of gradually emerging land and constricting seaways, with formation of the Isthmus of Panama sensu stricto around 2.8 Ma. The evidence used to support an older isthmus is inconclusive, and we caution against the uncritical acceptance of an isthmus before the Pliocene.
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In deep-sea fishes, the prevalence of parasitism remains poorly understood. Knowledge of ectoparasitism, in particular, is limited because collection methods often cause dislodgment of ectoparasites from their hosts. High-definition video collected during 43 remotely operated vehicle surveys (2013–2014) provided the opportunity to examine ectoparasitism on fishes across habitats (open slope, canyon, seamount, cold seep) and depths (494–4689 m) off the northeastern U.S., while providing high-resolution images and valuable observations of fish behavior. Only 9% (n = 125 individuals) of all observed fishes (25 species) were confirmed with ectoparasites, but higher percentages (∼33%) were observed for some of the most abundant fish species (e.g., Antimora rostrata). Ectoparasites included two copepod families (Lernaeopodidae, Sphyriidae) that infected four host species, two isopod families (Cymothoidae, Aegidae) that infected three host species, and one isopod family (Gnathiidae) that infected 19 host species. Hyperparasitism was also observed. As host diversity declined with depth, ectoparasite diversity declined; only gnathiids were observed at depths down to 3260 m. Thus, gnathiids appear to be the most successful group to infect a diversity of fishes across a broad depth range in the deep sea. For three dominant fishes (A. rostrata, Nezumia bairdii, Synaphobranchus spp.), the abundance and intensity of ectoparasitism peaked in different depths and habitats depending on the host species examined. Notably, gnathiid infections were most intense on A. rostrata, particularly in submarine canyons, suggesting that these habitats may increase ectoparasite infections. Although ectoparasitism is often overlooked in deep-sea benthic communities, our results demonstrate that it occurs widely across a variety of habitats, depths, and locations and is a significant component of deep-sea biodiversity.
","language":"English","publisher":"Elsevier Ltd.","doi":"10.1016/j.ijppaw.2016.07.004","usgsCitation":"Quattrini, A., and Demopoulos, A.W., 2016, Ectoparasitism on deep-sea fishes in the western North Atlantic: In situ observations from ROV surveys: International Journal for Parasitology: Parasites and Wildlife, v. 5, no. 3, https://doi.org/10.1016/j.ijppaw.2016.07.004.","productDescription":"12 p.","startPage":"217","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075420","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2016.07.004","text":"Publisher Index Page"},{"id":326067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New England Seamount Chain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75,\n 37\n ],\n [\n -75,\n 42\n ],\n [\n -62,\n 42\n ],\n [\n -62,\n 37\n ],\n [\n -75,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a307a7e4b006cb455561af","contributors":{"authors":[{"text":"Quattrini, Andrea aquattrini@usgs.gov","contributorId":149599,"corporation":false,"usgs":true,"family":"Quattrini","given":"Andrea","email":"aquattrini@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":644608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"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},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":644607,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173919,"text":"ofr20161100 - 2016 - Preliminary results from exploratory sampling of wells for the California oil, gas, and groundwater program, 2014–15","interactions":[],"lastModifiedDate":"2017-02-07T15:35:55","indexId":"ofr20161100","displayToPublicDate":"2016-08-03T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1100","title":"Preliminary results from exploratory sampling of wells for the California oil, gas, and groundwater program, 2014–15","docAbstract":"In 2014 and 2015, the U.S. Geological Survey (USGS) sampled water wells in the Los Angeles Basin and southern San Joaquin Valley, California, and oil wells in the San Joaquin Valley for analysis of multiple chemical, isotopic, and groundwater-age tracers. The purpose of this reconnaissance sampling was to evaluate the utility of tracers for assessing the effects of oil and gas production activities on groundwater quality in California. The study was done in cooperation with the California State Water Resources Control Board. Results of the study are intended to help design a regional groundwater-monitoring program to be implemented as part of California Senate Bill 4 (SB 4 statutes of 2013). The regional monitoring program plans to assess the effects of oil and gas production activities on groundwater quality and to provide a regional context for local monitoring of the groundwater-quality effects from well-stimulation treatments, which are techniques used to improve oil and gas production by increasing their rate of flow to the well. California SB 4 mandates that this local monitoring is to be done by oil-well operators in accordance with monitoring criteria established by the State Water Board.
\nThis report evaluates the utility of the chemical, isotopic, and groundwater-age tracers for assessing sources of salinity, methane, and petroleum hydrocarbons in groundwater overlying or near several California oil fields. Tracers of dissolved organic carbon in
oil-field-formation water are also discussed. Tracer data for samples collected from 51 water wells and 4 oil wells are examined.
Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
http://ca.water.usgs.gov
In the 21st century, accelerated sea-level rise and continued coastal development are expected to greatly alter coastal landscapes across the globe. Historically, many coastal ecosystems have responded to sea-level fluctuations via horizontal and vertical movement on the landscape. However, anthropogenic activities, including urbanization and the construction of flood-prevention infrastructure, can produce barriers that impede ecosystem migration. Here we show where tidal saline wetlands have the potential to migrate landward along the northern Gulf of Mexico coast, one of the most sea-level rise sensitive and wetland-rich regions of the world. Our findings can be used to identify migration corridors and develop sea-level rise adaptation strategies to help ensure the continued availability of wetland-associated ecosystem goods and services.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1282","usgsCitation":"Enwright, N.M., Griffith, K.T., and Osland, M.J., 2016, Barriers to and opportunities for landward migration of coastal wetlands with sea-level rise: Frontiers in Ecology and the Environment, v. 14, no. 6, p. 307-316, https://doi.org/10.1002/fee.1282.","productDescription":"10 p.","startPage":"307","endPage":"316","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070167","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":326034,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n 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0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":644554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Kereen T. ktgriffith@usgs.gov","contributorId":149328,"corporation":false,"usgs":false,"family":"Griffith","given":"Kereen","email":"ktgriffith@usgs.gov","middleInitial":"T.","affiliations":[{"id":17706,"text":"Griffith Consulting Services at U.S. Geological Survey, National Wetlands Research Center","active":true,"usgs":false}],"preferred":false,"id":644555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":644556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175367,"text":"70175367 - 2016 - Mihi Breccia: A stack of lacustrine sediments and subaqueous pyroclastic flows within the Taupo Volcanic Zone, New Zealand","interactions":[],"lastModifiedDate":"2016-12-16T12:09:43","indexId":"70175367","displayToPublicDate":"2016-08-03T09:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Mihi Breccia: A stack of lacustrine sediments and subaqueous pyroclastic flows within the Taupo Volcanic Zone, New Zealand","docAbstract":"The Taupo Volcanic Zone (TVZ), New Zealand, encompasses a wide variety of arc-related strata, although most of its small-volume (non-caldera-forming) eruptions are poorly-exposed and extensively hydrothermally altered. The Mihi Breccia is a stratigraphic sequence consisting of interbedded rhyolitic pyroclastic flows and lacustrine sediments with eruption ages of 281 ± 18 to at least 239 ± 6 ka (uncertainties at 2σ). In contrast to other small-volume rhyolitic eruptions within the TVZ, Mihi Breccia is relatively well-exposed within the Paeroa fault block, and contains minimal hydrothermal alteration. Pyroclastic flow characteristics and textures including: 1) breadcrusted juvenile clasts, 2) lack of welding, 3) abundant ash-rich matrix, 4) lack of fiamme and eutaxitic textures, 5) lack of thermal oxidation colors, 6) lack of cooling joints, 7) exclusive lacustrine sediment lithic clasts, and 8) interbedding with lacustrine sediments, all indicating that Mihi Breccia strata originated in a paleo-lake system. This ephemeral paleo-lake system is inferred to have lasted for > 50 kyr (based on Mihi Breccia age constraints), and referred to as Huka Lake. Mihi Breccia pyroclastic flow juvenile clast geochemistry and petrography correspond with similar-aged (264 ± 8, 263 ± 10, and 247 ± 4 ka) intra-caldera rhyolite domes filling the Reporoa caldera (source of the 281 ± 81 Kaingaroa Formation ignimbrite). These exposed intra-caldera rhyolite domes (as well as geophysically inferred subsurface domes) are proposed to be source vents for the Mihi Breccia pyroclastic flows. Soft-sediment deformation associated with Mihi Breccia strata indicate either seismic shock, rapid sediment loading during pyroclastic flow emplacement, or both. Thus, the Mihi Breccia reflects a prolonged series of subaqueous rhyolite dome building and associated pyroclastic flows, accompanied by seismic activity, emplaced into a large paleo-lake system within the TVZ.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jvolgeores.2016.08.004","usgsCitation":"Downs, D.T., 2016, Mihi Breccia: A stack of lacustrine sediments and subaqueous pyroclastic flows within the Taupo Volcanic Zone, New Zealand: Journal of Volcanology and Geothermal Research, v. 327, no. 15, p. 180-191, https://doi.org/10.1016/j.jvolgeores.2016.08.004.","productDescription":"12 p.","startPage":"180","endPage":"191","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071528","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":326190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taupo Volcanic Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 175.66666,\n -37.95\n ],\n [\n 175.66666,\n -39\n ],\n [\n 176.66666,\n -39\n ],\n [\n 176.66666,\n -37.95\n ],\n [\n 175.66666,\n -37.95\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"327","issue":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad69e4b05e859bdfba75","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":644940,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193677,"text":"70193677 - 2016 - Relationships of three species of bats impacted by white-nose syndrome to forest condition and management","interactions":[],"lastModifiedDate":"2017-12-21T10:15:59","indexId":"70193677","displayToPublicDate":"2016-08-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"SRS–214","title":"Relationships of three species of bats impacted by white-nose syndrome to forest condition and management","docAbstract":"Forest management activities can have substantial effects on forest structure and community composition and response of wildlife therein. Bats can be highly influenced by these structural changes, and understanding how forest management affects day-roost and foraging ecology of bats is currently a paramount conservation issue. With populations of many cave-hibernating bat species in eastern North America declining as a result of white-nose syndrome (WNS), it is increasingly critical to understand relationships among bats and forest-management activities. Herein, we provide a comprehensive literature review and synthesis of: (1) responses of northern long-eared (Myotis septentrionalis) and tri-colored (Perimyotis subflavus) bats—two species affected by WNS that use forests during summer—to forest management, and (2) an update to a previous review on the ecology of the endangered Indiana bat (Myotis sodalis).
","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","usgsCitation":"Silvis, A., Perry, R.W., and Ford, W., 2016, Relationships of three species of bats impacted by white-nose syndrome to forest condition and management: General Technical Report SRS–214, iv, 48 p.","productDescription":"iv, 48 p.","ipdsId":"IP-073333","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350136,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/52250"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd04e4b06e28e9c2466f","contributors":{"authors":[{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":725269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Roger W.","contributorId":201436,"corporation":false,"usgs":false,"family":"Perry","given":"Roger","email":"","middleInitial":"W.","affiliations":[{"id":25513,"text":"USDA Forest Service Southern Research Station","active":true,"usgs":false}],"preferred":false,"id":725270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719863,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175164,"text":"ds1007 - 2016 - Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface","interactions":[],"lastModifiedDate":"2017-09-18T11:08:10","indexId":"ds1007","displayToPublicDate":"2016-08-02T15:15:00","publicationYear":"2016","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":"1007","title":"Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface","docAbstract":"Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1007","usgsCitation":"Nelson, T.R., Miselis, J.L., Hapke, C.J., Wilson, K.E., Henderson, R.E., Brenner, O.T., Reynolds, B.J., and Hansen, M.E., 2016, Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface: U.S. Geological Survey Data Series 1007, https://dx.doi.org/10.3133/ds1007.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071019","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":325903,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1007"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.35,\n 40.875\n ],\n [\n -73.35,\n 40.6\n ],\n [\n -72.7,\n 40.6\n ],\n [\n -72.7,\n 40.875\n ],\n [\n -73.35,\n 40.875\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov
Originally reported from California, the cutthroat trout virus (CTV) has now been isolated from eight species of salmonids in North America. Early work focused on the replication and physical characteristics of the small, round virus, but not until 20 years later was it determined to be most closely related to viruses causing hepatitis E in humans or infecting avian and mammalian hosts. The genome of CTV consists of 7269 nucleotides of positive-sense, single-stranded RNA with a genome organization similar to other members of the family Hepeviridae, although the amino acid sequence identity appears low enough to support creation of a novel genus. While CTV has not been associated with acute disease in fish, the virus was able to form persistently infected cell cultures that may aid research in treatment of hepatitis E-like viruses affecting humans or other animals. Interestingly, trout exposed to CTV were protected for about a month against subsequent exposure to Infectious hematopoietic necrosis virus. Replicating agents suspected to be CTV can be confirmed by polymerase chain reaction (PCR) and sequencing.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aquaculture virology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-801573-5.00024-3","usgsCitation":"Batts, W.N., 2016, Hepeviruses of fish, chap. 24 of Aquaculture virology, p. 365-369, https://doi.org/10.1016/B978-0-12-801573-5.00024-3.","productDescription":"5 p.","startPage":"365","endPage":"369","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065265","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a064a6e4b060ce18fae6f5","contributors":{"editors":[{"text":"Kibenge, Frederick S. B.","contributorId":173300,"corporation":false,"usgs":false,"family":"Kibenge","given":"Frederick","email":"","middleInitial":"S. B.","affiliations":[],"preferred":false,"id":644168,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Godoy, Marcos","contributorId":173301,"corporation":false,"usgs":false,"family":"Godoy","given":"Marcos","email":"","affiliations":[],"preferred":false,"id":644169,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643963,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70175113,"text":"70175113 - 2016 - Paramyxoviruses of fish","interactions":[],"lastModifiedDate":"2020-08-25T17:23:13.455167","indexId":"70175113","displayToPublicDate":"2016-08-01T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"Paramyxoviruses of fish","docAbstract":"The first fish paramyxovirus was isolated from normal adult Chinook salmon returning to a coastal hatchery in Oregon in the fall of 1982. Subsequently, the virus was isolated from other stocks of adult Chinook salmon and one stock of adult coho salmon in California, Oregon, Washington and Alaska, leading to its designation as the Pacific salmon paramyxovirus (PSPV). The slow-growing virus can be isolated from tissues and ovarian fluids of healthy adult fish returning to spawn and apparently causes no clinical signs of disease or mortality. In 1995, a different and widely disseminated paramyxovirus was isolated from farmed Atlantic salmon in Norway and was designated as Atlantic salmon paramyxovirus (ASPV). Although this virus caused no disease or mortality when injected into juvenile Atlantic salmon, ASPV has been associated with proliferative gill inflammation in sea-reared yearling fish; however, additional infectious agents may be involved in the etiology of the condition. Sequence analysis of PSPV and ASPV isolates using the polymerase gene established their placement in the family Paramyxoviridaeand has shown the two viruses to be closely related but sufficiently different from each other and from other known paramyxoviruses to possibly represent new genera within the family. The viruses can be diagnosed by isolation in cell culture with final confirmation by molecular methods. Other paramyxovirus-like agents have been observed or isolated from rainbow trout in Germany, from seabream in Japan associated with epithelial necrosis, from turbot in Spain associated with erythrocytic inclusion bodies and buccal/opercular hemorrhaging and from koi and common carp associated with gill necrosis in the European Union.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aquaculture virology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-801573-5.00017-6","usgsCitation":"Meyers, T.R., and Batts, W.N., 2016, Paramyxoviruses of fish, chap. 17 of Aquaculture virology, p. 259-265, https://doi.org/10.1016/B978-0-12-801573-5.00017-6.","productDescription":"7 p.","startPage":"259","endPage":"265","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070453","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a064b9e4b060ce18fae706","contributors":{"editors":[{"text":"Kibenge, Frederick S. B.","contributorId":173300,"corporation":false,"usgs":false,"family":"Kibenge","given":"Frederick","email":"","middleInitial":"S. B.","affiliations":[],"preferred":false,"id":644170,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Godoy, Marcos","contributorId":173301,"corporation":false,"usgs":false,"family":"Godoy","given":"Marcos","email":"","affiliations":[],"preferred":false,"id":644171,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Meyers, Theodore R.","contributorId":173262,"corporation":false,"usgs":false,"family":"Meyers","given":"Theodore","email":"","middleInitial":"R.","affiliations":[{"id":27204,"text":"Alaska Department of Fish and Game, Juneau, Alaska","active":true,"usgs":false}],"preferred":false,"id":643962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643961,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175135,"text":"70175135 - 2016 - Comment on \"No evidence of displacement due to wind turbines in breeding grassland songbirds\"","interactions":[],"lastModifiedDate":"2016-08-01T14:30:37","indexId":"70175135","displayToPublicDate":"2016-08-01T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Comment on \"No evidence of displacement due to wind turbines in breeding grassland songbirds\"","docAbstract":"A recent article published in The Condor: Ornithological Applications by Hale et al. (2014) is entitled, “No evidence of displacement due to wind turbines in breeding grassland songbirds.” The conclusion stated in that title, unfortunately, is based on inappropriate statistical analysis of data collected by the authors. In fact, their data provide evidence of potential displacement by wind turbines in 2 of the 3 species considered.
","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-15-84.1","usgsCitation":"Johnson, D.H., 2016, Comment on \"No evidence of displacement due to wind turbines in breeding grassland songbirds\": The Condor, v. 118, no. 3, p. 674-675, https://doi.org/10.1650/CONDOR-15-84.1.","productDescription":"2 p.","startPage":"674","endPage":"675","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065596","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-15-84.1","text":"Publisher Index Page"},{"id":325880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a064a5e4b060ce18fae6f0","contributors":{"authors":[{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":644052,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70175141,"text":"70175141 - 2016 - North American sturgeon otolith morphology","interactions":[],"lastModifiedDate":"2016-08-01T14:20:07","indexId":"70175141","displayToPublicDate":"2016-08-01T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"North American sturgeon otolith morphology","docAbstract":"Accurate expedient species identification of deceased sturgeon (Acipenseridae) when external physical characteristic analysis is inconclusive has become a high priority due to the endangered or threatened status of sturgeon species around the world. Examination of otoliths has provided useful information to aid in population management, age and size-class analysis, understanding predator–prey interactions, and archeological research in other fish species. The relationship between otolith characteristics and sturgeon species has remained unknown. Therefore, we analyzed the shape of otoliths from the eight species of sturgeon found in North America to test the utility of otolith characteristic morphology in species identification. There were distinct differences in the size and shape of the otoliths between species of sturgeon with little shape variation among individuals of the same species. The relationship between otolith length axes was linear, and most of the variability was explained by a Log (axis + 1) transformation of the x and y axes (r2 = 0.8983) using the equation y = 0.73x + 0.0612. Images of otoliths from all eight North American species are presented to assist in the identification process.
","language":"English","publisher":"American Society of Ichthyologists and Herpetologists","doi":"10.1643/CI-14-076","usgsCitation":"Chalupnicki, M.A., and Dittman, D.E., 2016, North American sturgeon otolith morphology: Copeia, v. 104, no. 1, p. 260-266, https://doi.org/10.1643/CI-14-076.","productDescription":"7 p.","startPage":"260","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053727","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a064b7e4b060ce18fae702","contributors":{"authors":[{"text":"Chalupnicki, Marc A. mchalupnicki@usgs.gov","contributorId":3236,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":644083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175140,"text":"70175140 - 2016 - Diel diet of fantail darter in a tributary to Lake Ontario, New York, USA","interactions":[],"lastModifiedDate":"2016-11-03T16:27:49","indexId":"70175140","displayToPublicDate":"2016-08-01T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Diel diet of fantail darter in a tributary to Lake Ontario, New York, USA","docAbstract":"The stratigraphy of the layered deposits of the polar regions of Mars is theorized to contain a record of recent climate change linked to insolation changes driven by variations in the planet's orbital and rotational parameters. In order to confidently link stratigraphic signals to insolation periodicities, a description of the stratigraphy is required based on quantities that directly relate to intrinsic properties of the layers. We use stereo Digital Terrain Models (DTMs) from the High Resolution Imaging Science Experiment (HiRISE) to derive a characteristic of North Polar Layered Deposits (NPLD) strata that can be correlated over large distances: the topographic protrusion of layers exposed in troughs, which is a proxy for the layers’ resistance to erosion. Using a combination of image analysis and a signal-matching algorithm to correlate continuous depth-protrusion signals taken from DTMs at different locations, we construct a stratigraphic column that describes the upper ~500 m of at least 7% of the area of the NPLD, and find accumulation rates that vary by factors of up to two. We find that, when coupled with observations of exposed layers in orbital images, the topographic expression of the strata is consistently continuous through large distances in the top 300 – 500 m of the NPLD, suggesting it is better related to intrinsic layer properties than brightness alone.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Hoboken, NJ","doi":"10.1002/2015JE004992","usgsCitation":"Becerra, P., Byrne, S., Sori, M.M., Sutton, S., and Herkenhoff, K.E., 2016, Stratigraphy of the north polar layered deposits of Mars from high-resolution topography: Journal of Geophysical Research E: Planets, v. 121, no. 8, p. 1445-1471, https://doi.org/10.1002/2015JE004992.","productDescription":"27 p.","startPage":"1445","endPage":"1471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070689","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015je004992","text":"Publisher Index Page"},{"id":325939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"121","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"57a1c433e4b006cb45552c4a","contributors":{"authors":[{"text":"Becerra, Patricio","contributorId":173341,"corporation":false,"usgs":false,"family":"Becerra","given":"Patricio","email":"","affiliations":[],"preferred":false,"id":644322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":644323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sori, Michael M.","contributorId":173342,"corporation":false,"usgs":false,"family":"Sori","given":"Michael","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":644324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, Sarah","contributorId":173271,"corporation":false,"usgs":false,"family":"Sutton","given":"Sarah","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":644325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":644326,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171250,"text":"ofr20161069 - 2016 - Analysis of seafloor change at Breton Island, Gosier Shoals, and surrounding waters, 1869–2014, Breton National Wildlife Refuge, Louisiana","interactions":[],"lastModifiedDate":"2016-08-05T16:03:06","indexId":"ofr20161069","displayToPublicDate":"2016-08-01T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1069","title":"Analysis of seafloor change at Breton Island, Gosier Shoals, and surrounding waters, 1869–2014, Breton National Wildlife Refuge, Louisiana","docAbstract":"Characterizing bathymetric change in coastal environments is an important component in understanding shoreline evolution, especially along barrier island platforms. Bathymetric change is a function of the regional sediment budget, long-term wave and current patterns, and episodic impact from high-energy events such as storms. Human modifications may also cause changes in seafloor elevation. This study, conducted by the U.S. Geological Survey in collaboration with the U.S. Fish and Wildlife Service, evaluates bathymetric and volumetric change and sediment characteristics around Breton Island and Gosier Shoals located offshore of the Mississippi River Delta in Louisiana. This area has been affected by significant storm events such as Hurricane Katrina in 2005. Sedimentation patterns at Breton Island and offshore have also been modified by the excavation of a shipping channel north of the island. Four time periods are considered that encompass these episodes and include long-term change and short-term storm recovery: 1869–2014, 1869–1920, 1920–2014, and 2007–2014. Finally, sediment characteristics are reported in the context of seafloor elevation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161069","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Flocks, J.G., and Terrano, J.F., 2016, Analysis of seafloor change at Breton Island, Gosier Shoals, and surrounding waters, 1869–2014, Breton National Wildlife Refuge, Louisiana: U.S. Geological Survey Open-File Report 2016–1069, 27 p., https://dx.doi.org/10.3133/ofr20161069.","productDescription":"Report: vi, 27 p.; Data Releases","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073884","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":324961,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/ds1005","text":"Data Series 1005","description":"OFR 2016-1069","linkHelpText":"Archive of Bathymetry and Backscatter Data Collected in 2014 Nearshore Breton and Gosier Islands, Breton National Wildlife Refuge, Louisiana"},{"id":324963,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7XS5SGM","text":"USGS data release - A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for Breton Island, Louisiana: 1869–2014","description":"OFR 2016-1069"},{"id":324960,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.3133/ofr20161039","text":"Open-File Report 2016–1039","description":"OFR 2016-1069","linkHelpText":"Analysis of shoreline and geomorphic change for Breton Island, Louisiana, from 1869 to 2014"},{"id":324962,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F70G3H6G","text":"USGS data release - Topobathymetric Lidar Survey of Breton and Gosier Islands, Louisiana, January 16 and 18, 2014","description":"OFR 2016-1069"},{"id":324958,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1069/coverthb.jpg"},{"id":324959,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1069/ofr20161069.pdf","text":"Report","size":"7.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1069"}],"country":"United States","state":"Louisana","otherGeospatial":"Breton Island, Breton National Wildlife Refuge, Gosier Shoals","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.07234191894531,\n 29.471883455244765\n ],\n [\n -88.98994445800781,\n 29.538216607905866\n ],\n [\n -89.07096862792969,\n 29.614057949691468\n ],\n [\n -89.31060791015624,\n 29.44438130948883\n ],\n [\n -89.22477722167967,\n 29.361231724636678\n ],\n [\n -89.19525146484375,\n 29.38576493113888\n ],\n [\n -89.14581298828125,\n 29.387559811639232\n ],\n [\n -89.10804748535155,\n 29.352254684201622\n ],\n [\n -89.0826416015625,\n 29.369011186354562\n ],\n [\n -89.07920837402344,\n 29.39952487234379\n ],\n [\n -89.05654907226562,\n 29.4186660412453\n ],\n [\n -89.05517578125,\n 29.44916482692468\n ],\n [\n -89.07234191894531,\n 29.471883455244765\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502–8000
http://coastal.er.usgs.gov
The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On September 18–19, 2015, the USGS conducted an oblique aerial photographic survey from Navarre Beach, Florida, to Breton Island, Louisiana, aboard a Maule MT57 (aircraft) at an altitude of 500 feet (ft) and approximately 1,200 ft offshore. This mission was conducted to collect baseline data for assessing incremental changes in the beach and nearshore area since the last survey, flown in September 2014. The data can be used in the assessment of future coastal change.
\nThe photographs provided in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photograph: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photographs and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
\nIn addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then the thumbnail or the link below the thumbnail. The KML file was created using the photographic navigation files. This KML file can be found in the kml folder.
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(727) 502–8000
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As part of the Barrier Island Monitoring Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off Breton and Gosier Islands, Louisiana, in July and August of 2014. To assist the United States Fish and Wildlife Service (USFWS) with restoration planning efforts, the USGS was tasked with answering fundamental questions about the physical environment of the southern Chandeleur Islands, including the geology, morphology, and oceanography. Baseline data needed to answer these questions were either insufficient or missing. The USGS conducted a comprehensive geologic investigation in the summer of 2014, collecting geophysical and sedimentological data.
Breton Island, located at the southern end of the Chandeleur Island chain in southeastern Louisiana, was recognized as a natural, globally significant nesting sanctuary for several bird species and was established as the Breton National Wildlife Refuge (NWR) in 1904. The areal extent of Breton Island has diminished 90 percent since 1920. Land loss is attributed to ongoing relative sea-level rise, diminished sediment supply, and storm impacts. The bird population on Breton Island has also declined over the years, most notably after Hurricane George in 1998 and after Hurricane Katrina in 2015; the latter completely submerged the island. Despite decreasing habitable acreage, migratory seabirds continue to return and nest on Breton Island. To prevent the island from being submerged in the future, and to protect, stabilize, and provide more nesting and foraging areas for the bird population, the USFWS proposed a restoration effort to rebuild Breton Island to its pre-Katrina footprint.
This data series serves as an archive of processed interferometric swath and single-beam bathymetry data, and side-scan sonar data, collected in the nearshore of Breton and Gosier Islands, NWR, Louisiana. The data were collected during two USGS cruises (USGS Field Activity Numbers 2014-314-FA and 2014-317-FA) in July and August 2014. Geographic information system data products include a 100-meter-cell-size interpolated bathymetry grid, trackline maps, and point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.
NOTE: These data are scientific in nature and are not to be used for navigation. Any use of trade names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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Climate change is a major challenge for managers of protected areas world-wide, and managers need information about future climate conditions within protected areas. Prior studies of climate change effects in protected areas have largely focused on average climatic conditions. However, extreme weather may have stronger effects on wildlife populations and habitats than changes in averages. Our goal was to quantify future changes in the frequency of extreme heat, drought, and false springs, during the avian breeding season, in 415 National Wildlife Refuges in the conterminous United States. We analyzed spatially detailed data on extreme weather frequencies during the historical period (1950–2005) and under different scenarios of future climate change by mid- and late-21st century. We found that all wildlife refuges will likely experience substantial changes in the frequencies of extreme weather, but the types of projected changes differed among refuges. Extreme heat is projected to increase dramatically in all wildlife refuges, whereas changes in droughts and false springs are projected to increase or decrease on a regional basis. Half of all wildlife refuges are projected to see increases in frequency (> 20% higher than the current rate) in at least two types of weather extremes by mid-century. Wildlife refuges in the Southwest and Pacific Southwest are projected to exhibit the fastest rates of change, and may deserve extra attention. Climate change adaptation strategies in protected areas, such as the U.S. wildlife refuges, may need to seriously consider future changes in extreme weather, including the considerable spatial variation of these changes.
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The interface is named after the International River Interface Cooperative (iRIC), the group that constructed the interface and many of the current solvers included in iRIC. The interface is entirely free to any user and currently houses thirteen models ranging from simple one-dimensional models through three-dimensional large-eddy simulation models. Solvers are only loosely coupled to the interface so it is straightforward to modify existing solvers or to introduce other solvers into the system. Six of the most widely-used solvers are described in detail including example calculations to serve as an aid for users choosing what approach might be most appropriate for their own applications. The example calculations range from practical computations of bed evolution in natural rivers to highly detailed predictions of the development of small-scale bedforms on an initially flat bed. The remaining solvers are also briefly described. 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We sought to statistically evaluate changes in a base flow regime because of urbanization with LID, specifically changes in base flow magnitude, seasonality, and rate of change. We used a case study watershed in Clarksburg, Maryland, in which streamflow was monitored during whole-watershed urbanization from forest and agricultural to suburban residential development using LID. The 1.11-km2 watershed contains 73 infiltration-focused stormwater facilities, including bioretention facilities, dry wells, and dry swales. We examined annual and monthly flow during and after urbanization (2004–2014) and compared alterations to nearby forested and urban control watersheds. We show that total streamflow and base flow increased in the LID watershed during urbanization as compared with control watersheds. The LID watershed had more gradual storm recessions after urbanization and attenuated seasonality in base flow. These flow regime changes may be because of a reduction in evapotranspiration because of the overall decrease in vegetative cover with urbanization and the increase in point sources of recharge. Precipitation that may once have infiltrated soil, been stored in soil moisture to be eventually transpired in a forested landscape, may now be recharged and become base flow. The transfer of evapotranspiration to base flow is an unintended consequence to the water balance of LID.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10808","usgsCitation":"Bhaskar, A., Hogan, D.M., and Archfield, S.A., 2016, Urban base flow with low impact development: Hydrological Processes, v. 30, no. 18, p. 3156-3171, https://doi.org/10.1002/hyp.10808.","productDescription":"16 p.","startPage":"3156","endPage":"3171","ipdsId":"IP-069104","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.10808","text":"Publisher Index Page"},{"id":352262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-26","publicationStatus":"PW","scienceBaseUri":"5afee9ade4b0da30c1bfc57e","contributors":{"authors":[{"text":"Bhaskar, Aditi abhaskar@usgs.gov","contributorId":146249,"corporation":false,"usgs":true,"family":"Bhaskar","given":"Aditi","email":"abhaskar@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":730226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":730227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":730228,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}