The Millicoma Dace Rhinichthys cataractae is a form of Longnose Dace endemic to the Coos River drainage in southwestern Oregon. Sparse species records in the Oregon State University Ichthyology Collection and database and infrequent recent encounters prompted surveys to assess the current status and distribution of the species. In 2014, we surveyed locations that had historically supported Millicoma Dace using backpack electrofishing to describe their current distribution and abundance at these locations. In 2015, we extended these surveys further upstream in the South Coos River basin, outside of the documented historical range. We used an N-mixture model to estimate abundance and capture probability for Millicoma Dace at each sampling location. We evaluated the effects of habitat covariates on both capture probability and abundance at each sample site. We found Millicoma Dace were widespread throughout their historical range and in the South Coos River sites outside of their documented historical range. We only found Millicoma Dace associated with native fishes; we did not collect any nonnative fish during our surveys. We collected Millicoma Dace exclusively from swift-water habitats, which were relatively uncommon in the basin, and found them typically associated with cobble or boulder substrates. Millicoma Dace were most abundant in the South Fork Coos and West Fork Millicoma River subbasins. We estimated capture probabilities for Millicoma Dace ranging from 9% when substrate was dominated by bedrock to 28% when substrate was dominated by cobble or gravel. Abundance estimates ranged from 1 to 560 dace per sampling location with a total estimated abundance (sum of site estimates) of over 3200 dace for the sites we sampled.
","language":"English","publisher":"Society for Northwestern Vertebrate Biology","doi":"10.1898/NWN16-15.1","usgsCitation":"Scheerer, P.D., Peterson, J., and Clements, S., 2017, Distribution and abundance of Millicoma Dace in the Coos River Basin, Oregon: Northwestern Naturalist, v. 98, no. 1, p. 39-47, https://doi.org/10.1898/NWN16-15.1.","productDescription":"9 p.","startPage":"39","endPage":"47","ipdsId":"IP-078974","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Coos River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.46411132812499,\n 43.00866413845207\n ],\n [\n -122.90954589843749,\n 43.00866413845207\n ],\n [\n -122.90954589843749,\n 43.95328204198018\n ],\n [\n -124.46411132812499,\n 43.95328204198018\n ],\n [\n -124.46411132812499,\n 43.00866413845207\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b9e4b0dc0b45b45381","contributors":{"authors":[{"text":"Scheerer, Paul D.","contributorId":171713,"corporation":false,"usgs":false,"family":"Scheerer","given":"Paul","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Shaun","contributorId":171685,"corporation":false,"usgs":false,"family":"Clements","given":"Shaun","email":"","affiliations":[],"preferred":false,"id":721121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192786,"text":"70192786 - 2017 - Tropical river suspended sediment and solute dynamics in storms during an extreme drought","interactions":[],"lastModifiedDate":"2017-11-29T13:48:39","indexId":"70192786","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Tropical river suspended sediment and solute dynamics in storms during an extreme drought","docAbstract":"Droughts, which can strongly affect both hydrologic and biogeochemical systems, are projected to become more prevalent in the tropics in the future. We assessed the effects of an extreme drought during 2015 on stream water composition in the Luquillo Mountains of Puerto Rico. We demonstrated that drought base flow in the months leading up to the study was sourced from trade-wind orographic rainfall, suggesting a resistance to the effects of an otherwise extreme drought. In two catchments (Mameyes and Icacos), we sampled a series of four rewetting events that partially alleviated the drought. We collected and analyzed dissolved constituents (major cations and anions, organic carbon, and nitrogen) and suspended sediment (inorganic and organic matter (particulate organic carbon and particulate nitrogen)). The rivers appeared to be resistant to extreme drought, recovering quickly upon rewetting, as (1) the concentration-discharge (C-Q) relationships deviated little from the long-term patterns; (2) “new water” dominated streamflow during the latter events; (3) suspended sediment sources had accumulated in the channel during the drought flushed out during the initial events; and (4) the severity of the drought, as measured by the US drought monitor, was reduced dramatically after the rewetting events. Through this interdisciplinary study, we were able to investigate the impact of extreme drought through rewetting events on the river biogeochemistry.
","language":"English","publisher":"AGU","doi":"10.1002/2016WR019737","usgsCitation":"Clark, K.E., Shanley, J.B., Scholl, M.A., Perdrial, N., Perdrial, J.N., Plante, A.F., and McDowell, W.H., 2017, Tropical river suspended sediment and solute dynamics in storms during an extreme drought: Water Resources Research, v. 53, no. 5, p. 3695-3712, https://doi.org/10.1002/2016WR019737.","productDescription":"18 p.","startPage":"3695","endPage":"3712","ipdsId":"IP-081947","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":349547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.83,\n 18.25\n ],\n [\n -65.72,\n 18.25\n ],\n [\n -65.72,\n 18.35\n ],\n [\n -65.83,\n 18.35\n ],\n [\n -65.83,\n 18.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d5","contributors":{"authors":[{"text":"Clark, Kathryn E.","contributorId":198717,"corporation":false,"usgs":false,"family":"Clark","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":716937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perdrial, Nicolas","contributorId":198718,"corporation":false,"usgs":false,"family":"Perdrial","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":716933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perdrial, Julia N.","contributorId":177340,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":716934,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plante, Alain F.","contributorId":198719,"corporation":false,"usgs":false,"family":"Plante","given":"Alain","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":716935,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDowell, William H.","contributorId":198684,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":716936,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193426,"text":"70193426 - 2017 - Spatial variation in polycyclic aromatic hydrocarbon exposure in Barrow's goldeneye (Bucephala islandica) in coastal British Columbia","interactions":[],"lastModifiedDate":"2017-11-01T13:15:52","indexId":"70193426","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial variation in polycyclic aromatic hydrocarbon exposure in Barrow's goldeneye (Bucephala islandica) in coastal British Columbia","title":"Spatial variation in polycyclic aromatic hydrocarbon exposure in Barrow's goldeneye (Bucephala islandica) in coastal British Columbia","docAbstract":"Barrow's goldeneyes are sea ducks that winter throughout coastal British Columbia (BC). Their diet consists primarily of intertidal blue mussels, which can accumulate PAHs; accordingly, goldeneyes may be susceptible to exposure through contaminated prey. In 2014/15, we examined total PAH concentrations in mussels from undeveloped and developed coastal areas of BC. At those same sites, we used EROD to measure hepatic CYP1A induction in goldeneyes. We found higher mussel PAH concentrations at developed coastal sites. Regionally, goldeneyes from southern BC, which has relatively higher coastal development, had higher EROD activity compared to birds from northern BC. Our results suggest goldeneyes wintering in coastal BC were exposed to PAHs through diet, with higher exposure among birds wintering in coastal areas with greater anthropogenic influence. These results suggest the mussel-goldeneye system is suitable as a natural, multi-trophic-level indicator of contemporary hydrocarbon contamination occurrence and exposure useful for establishing oil spill recovery endpoints.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.02.010","usgsCitation":"Willie, M., Esler, D., Boyd, W.S., Molloy, P., and Ydenberg, R.C., 2017, Spatial variation in polycyclic aromatic hydrocarbon exposure in Barrow's goldeneye (Bucephala islandica) in coastal British Columbia: Marine Pollution Bulletin, v. 118, no. 1-2, p. 167-179, https://doi.org/10.1016/j.marpolbul.2017.02.010.","productDescription":"14 p.","startPage":"167","endPage":"179","ipdsId":"IP-078959","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":348014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","volume":"118","issue":"1-2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd23e4b0531197b13c9a","contributors":{"authors":[{"text":"Willie, Megan","contributorId":199404,"corporation":false,"usgs":false,"family":"Willie","given":"Megan","email":"","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":719002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":719001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyd, W. Sean","contributorId":199405,"corporation":false,"usgs":false,"family":"Boyd","given":"W.","email":"","middleInitial":"Sean","affiliations":[{"id":35539,"text":"Science and Technology Branch, Environment and Climate Change Canada, Delta, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":719003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Molloy, Philip","contributorId":199406,"corporation":false,"usgs":false,"family":"Molloy","given":"Philip","email":"","affiliations":[{"id":35540,"text":"Stantec Consulting, Ltd., Sidney, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":719004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ydenberg, Ronald C.","contributorId":199407,"corporation":false,"usgs":false,"family":"Ydenberg","given":"Ronald","email":"","middleInitial":"C.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":719005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193094,"text":"70193094 - 2017 - PRISM Software: Processing and Review Interface for Strong‐Motion Data","interactions":[],"lastModifiedDate":"2017-10-31T10:51:32","indexId":"70193094","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"PRISM Software: Processing and Review Interface for Strong‐Motion Data","docAbstract":"A continually increasing number of high‐quality digital strong‐motion records from stations of the National Strong Motion Project (NSMP) of the U.S. Geological Survey, as well as data from regional seismic networks within the United States, calls for automated processing of strong‐motion records with human review limited to selected significant or flagged records. The NSMP has developed the Processing and Review Interface for Strong Motion data (PRISM) software to meet this need. In combination with the Advanced National Seismic System Quake Monitoring System (AQMS), PRISM automates the processing of strong‐motion records. When used without AQMS, PRISM provides batch‐processing capabilities. The PRISM software is platform independent (coded in Java), open source, and does not depend on any closed‐source or proprietary software. The software consists of two major components: a record processing engine composed of modules for each processing step, and a review tool, which is a graphical user interface for manual review, edit, and processing. To facilitate use by non‐NSMP earthquake engineers and scientists, PRISM (both its processing engine and review tool) is easy to install and run as a stand‐alone system on common operating systems such as Linux, OS X, and Windows. PRISM was designed to be flexible and extensible to accommodate implementation of new processing techniques. All the computing features have been thoroughly tested.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160200","usgsCitation":"Jones, J.M., Kalkan, E., Stephens, C.D., and Ng, P., 2017, PRISM Software: Processing and Review Interface for Strong‐Motion Data: Seismological Research Letters, v. 88, no. 3, p. 851-866, https://doi.org/10.1785/0220160200.","productDescription":"16 p.","startPage":"851","endPage":"866","ipdsId":"IP-066608","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59f98bb7e4b0531197af9fee","contributors":{"authors":[{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Christopher D. 0000-0003-0858-3709 cdstephens@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-3709","contributorId":2788,"corporation":false,"usgs":true,"family":"Stephens","given":"Christopher","email":"cdstephens@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ng, Peter 0000-0001-8509-5544 png@usgs.gov","orcid":"https://orcid.org/0000-0001-8509-5544","contributorId":3317,"corporation":false,"usgs":true,"family":"Ng","given":"Peter","email":"png@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717966,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192161,"text":"70192161 - 2017 - Cascadia subduction tremor muted by crustal faults","interactions":[],"lastModifiedDate":"2017-10-23T13:50:31","indexId":"70192161","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Cascadia subduction tremor muted by crustal faults","docAbstract":"Deep, episodic slow slip on the Cascadia subduction megathrust of western North America is accompanied by low-frequency tremor in a zone of high fluid pressure between 30 and 40 km depth. Tremor density (tremor epicenters per square kilometer) varies along strike, and lower tremor density statistically correlates with upper plate faults that accommodate northward motion and rotation of forearc blocks. Upper plate earthquakes occur to 35 km depth beneath the faults. We suggest that the faults extend to the overpressured megathrust, where they provide fracture pathways for fluid escape into the upper plate. This locally reduces megathrust fluid pressure and tremor occurrence beneath the faults. Damping of tremor and related slow slip caused by fluid escape could affect fault properties of the megathrust, possibly influencing the behavior of great earthquakes.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38835.1","usgsCitation":"Wells, R.E., Blakely, R.J., Wech, A.G., McCrory, P.A., and Michael, A., 2017, Cascadia subduction tremor muted by crustal faults: Geology, v. 45, no. 6, p. 515-518, https://doi.org/10.1130/G38835.1.","productDescription":"4 p.","startPage":"515","endPage":"518","ipdsId":"IP-067422","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g38835.1","text":"Publisher Index Page"},{"id":347129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127,\n 40\n ],\n [\n -121,\n 40\n ],\n [\n -121,\n 50\n ],\n [\n -127,\n 50\n ],\n [\n -127,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988fa6","contributors":{"authors":[{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":149772,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","email":"rwells@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":714487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":714488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCrory, Patricia A. 0000-0003-2471-0018 pmccrory@usgs.gov","orcid":"https://orcid.org/0000-0003-2471-0018","contributorId":2728,"corporation":false,"usgs":true,"family":"McCrory","given":"Patricia","email":"pmccrory@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michael, Andrew","contributorId":97760,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","affiliations":[],"preferred":false,"id":714877,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195117,"text":"70195117 - 2017 - Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System","interactions":[],"lastModifiedDate":"2021-10-26T15:52:22.76388","indexId":"70195117","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5621,"text":"Journal of Operational Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System","docAbstract":"This paper outlines strategies that would advance coastal ocean modelling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the US Integrated Ocean Observing System (IOOS®) and the Global Ocean Observing System (GOOS). The views presented are the consensus of a group of US-based researchers with a cross-section of coastal oceanography and ocean modelling expertise and community representation drawn from Regional and US Federal partners in IOOS. Priorities for research and development are suggested that would enhance the value of IOOS observations through model-based synthesis, deliver better model-based information products, and assist the design, evaluation, and operation of the observing system itself. The proposed priorities are: model coupling, data assimilation, nearshore processes, cyberinfrastructure and model skill assessment, modelling for observing system design, evaluation and operation, ensemble prediction, and fast predictors. Approaches are suggested to accomplish substantial progress in a 3–8-year timeframe. In addition, the group proposes steps to promote collaboration between research and operations groups in Regional Associations, US Federal Agencies, and the international ocean research community in general that would foster coordination on scientific and technical issues, and strengthen federal–academic partnerships benefiting IOOS stakeholders and end users.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1755876X.2017.1322026","usgsCitation":"Wilkin, J.L., Rosenfeld, L., Allen, A., Baltes, R., Baptista, A., He, R., Hogan, P., Kurapov, A., Mehra, A., Quintrell, J., Schwab, D., Signell, R.P., and Smith, J., 2017, Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System: Journal of Operational Oceanography, v. 10, no. 2, p. 115-126, https://doi.org/10.1080/1755876X.2017.1322026.","productDescription":"12 p.","startPage":"115","endPage":"126","ipdsId":"IP-086129","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1755876x.2017.1322026","text":"Publisher Index Page"},{"id":351300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-20","publicationStatus":"PW","scienceBaseUri":"5a7c1e7ce4b00f54eb229351","contributors":{"authors":[{"text":"Wilkin, John L. 0000-0002-5444-9466","orcid":"https://orcid.org/0000-0002-5444-9466","contributorId":28872,"corporation":false,"usgs":true,"family":"Wilkin","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":727018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenfeld, Leslie 0000-0002-0768-819X","orcid":"https://orcid.org/0000-0002-0768-819X","contributorId":140915,"corporation":false,"usgs":false,"family":"Rosenfeld","given":"Leslie","email":"","affiliations":[{"id":13614,"text":"Naval Postgraduate School, Monterey, CA","active":true,"usgs":false}],"preferred":false,"id":727019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Arthur 0000-0002-6061-9396","orcid":"https://orcid.org/0000-0002-6061-9396","contributorId":70870,"corporation":false,"usgs":true,"family":"Allen","given":"Arthur","email":"","affiliations":[],"preferred":false,"id":727020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baltes, Rebecca 0000-0003-3121-1495","orcid":"https://orcid.org/0000-0003-3121-1495","contributorId":201818,"corporation":false,"usgs":false,"family":"Baltes","given":"Rebecca","email":"","affiliations":[{"id":36259,"text":"U.S. IOOS Program Office","active":true,"usgs":false}],"preferred":false,"id":727021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baptista, Antonio 0000-0002-7641-5937","orcid":"https://orcid.org/0000-0002-7641-5937","contributorId":202188,"corporation":false,"usgs":false,"family":"Baptista","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":727022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"He, Ruoying","contributorId":68029,"corporation":false,"usgs":true,"family":"He","given":"Ruoying","affiliations":[],"preferred":false,"id":727773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hogan, Patrick 0000-0001-5931-3675","orcid":"https://orcid.org/0000-0001-5931-3675","contributorId":201819,"corporation":false,"usgs":false,"family":"Hogan","given":"Patrick","email":"","affiliations":[{"id":36260,"text":"U.S. Naval Research Laboratory and GCOOS","active":true,"usgs":false}],"preferred":false,"id":727024,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kurapov, Alexander","contributorId":201820,"corporation":false,"usgs":false,"family":"Kurapov","given":"Alexander","email":"","affiliations":[{"id":36261,"text":"Oregon State University and NANOOS","active":true,"usgs":false}],"preferred":false,"id":727025,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mehra, Avichal","contributorId":201821,"corporation":false,"usgs":false,"family":"Mehra","given":"Avichal","email":"","affiliations":[{"id":36262,"text":"NOAA National Centers for Environmental Prediction","active":true,"usgs":false}],"preferred":false,"id":727026,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Quintrell, Josie","contributorId":201822,"corporation":false,"usgs":false,"family":"Quintrell","given":"Josie","email":"","affiliations":[{"id":36263,"text":"IOOS Association","active":true,"usgs":false}],"preferred":false,"id":727027,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schwab, David","contributorId":202190,"corporation":false,"usgs":false,"family":"Schwab","given":"David","affiliations":[],"preferred":false,"id":727028,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727017,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Jane","contributorId":202191,"corporation":false,"usgs":false,"family":"Smith","given":"Jane","affiliations":[],"preferred":false,"id":727029,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70191301,"text":"70191301 - 2017 - Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest","interactions":[],"lastModifiedDate":"2017-10-03T16:38:30","indexId":"70191301","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest","docAbstract":"Across the western United States, the three primary drivers of tree mortality and carbon balance are bark beetles, timber harvest, and wildfire. While these agents of forest change frequently overlap, uncertainty remains regarding their interactions and influence on specific subsequent fire effects such as change in canopy cover. Acquisition of pre- and post-fire Light Detection and Ranging (LiDAR) data on the 2012 Pole Creek Fire in central Oregon provided an opportunity to isolate and quantify fire effects coincident with specific agents of change. This study characterizes the influence of pre-fire mountain pine beetle (MPB; Dendroctonus ponderosae) and timber harvest disturbances on LiDAR-estimated change in canopy cover. Observed canopy loss from fire was greater (higher severity) in areas experiencing pre-fire MPB (Δ 18.8%CC) than fire-only (Δ 11.1%CC). Additionally, increasing MPB intensity was directly related to greater canopy loss. Canopy loss was lower for all areas of pre-fire timber harvest (Δ 3.9%CC) than for fire-only, but among harvested areas, the greatest change was observed in the oldest treatments and the most intensive treatments [i.e., stand clearcut (Δ 5.0%CC) and combination of shelterwood establishment cuts and shelterwood removal cuts (Δ 7.7%CC)]. These results highlight the importance of accounting for and understanding the impact of pre-fire agents of change such as MPB and timber harvest on subsequent fire effects in land management planning. This work also demonstrates the utility of multi-temporal LiDAR as a tool for quantifying these landscape-scale interactions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.02.015","usgsCitation":"McCarley, T.R., Kolden, C.A., Vaillant, N.M., Hudak, A.T., Smith, A., and Kreitler, J.R., 2017, Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest: Forest Ecology and Management, v. 391, p. 164-175, https://doi.org/10.1016/j.foreco.2017.02.015.","productDescription":"12 p.","startPage":"164","endPage":"175","ipdsId":"IP-079599","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469889,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.02.015","text":"Publisher Index Page"},{"id":346372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Pole Creek Fire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.85073852539064,\n 44.04614157509527\n ],\n [\n -121.50329589843749,\n 44.04614157509527\n ],\n [\n -121.50329589843749,\n 44.29043508918884\n ],\n [\n -121.85073852539064,\n 44.29043508918884\n ],\n [\n -121.85073852539064,\n 44.04614157509527\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"391","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a8e4b05fe04cc4e0f7","contributors":{"authors":[{"text":"McCarley, T. Ryan","contributorId":196908,"corporation":false,"usgs":false,"family":"McCarley","given":"T.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":711891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolden, Crystal A.","contributorId":196909,"corporation":false,"usgs":false,"family":"Kolden","given":"Crystal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaillant, Nicole M.","contributorId":196237,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudak, Andrew T.","contributorId":196022,"corporation":false,"usgs":false,"family":"Hudak","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":711894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Alistair","contributorId":196910,"corporation":false,"usgs":false,"family":"Smith","given":"Alistair","email":"","affiliations":[],"preferred":false,"id":711895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":711890,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193697,"text":"70193697 - 2017 - Microbial formation of labile organic carbon in Antarctic glacial environments","interactions":[],"lastModifiedDate":"2017-11-20T12:17:44","indexId":"70193697","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Microbial formation of labile organic carbon in Antarctic glacial environments","docAbstract":"Roughly six petagrams of organic carbon are stored within ice worldwide. This organic carbon is thought to be of old age and highly bioavailable. Along with storage of ancient and new atmospherically deposited organic carbon, microorganisms may contribute substantially to the glacial organic carbon pool. Models of glacial microbial carbon cycling vary from net respiration to net carbon fixation. Supraglacial streams have not been considered in models although they are amongst the largest ecosystems on most glaciers and are inhabited by diverse microbial communities. Here we investigate the biogeochemical sequence of organic carbon production and uptake in an Antarctic supraglacial stream in the McMurdo Dry Valleys using nanometre-scale secondary ion mass spectrometry, fluorescence spectroscopy, stable isotope analysis and incubation experiments. We find that heterotrophic production relies on highly labile organic carbon freshly derived from photosynthetic bacteria rather than legacy organic carbon. Exudates from primary production were utilized by heterotrophs within 24 h, and supported bacterial growth demands. The tight coupling of microbially released organic carbon and rapid uptake by heterotrophs suggests a dynamic local carbon cycle. Moreover, as temperatures increase there is the potential for positive feedback between glacial melt and microbial transformations of organic carbon.
","language":"English","publisher":"Nature","doi":"10.1038/ngeo2925","usgsCitation":"Smith, H., Foster, R., McKnight, D., Lisle, J.T., Littmann, S., Kuypers, M., and Foreman, C., 2017, Microbial formation of labile organic carbon in Antarctic glacial environments: Nature Geoscience, v. 10, p. 356-359, https://doi.org/10.1038/ngeo2925.","productDescription":"4 p.","startPage":"356","endPage":"359","ipdsId":"IP-084212","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469882,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/13063","text":"External Repository"},{"id":349135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"McMurdo Dry Valleys","volume":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-03","publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236ce","contributors":{"authors":[{"text":"Smith, H.J.","contributorId":199755,"corporation":false,"usgs":false,"family":"Smith","given":"H.J.","email":"","affiliations":[],"preferred":false,"id":719951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, R.","contributorId":199756,"corporation":false,"usgs":false,"family":"Foster","given":"R.","email":"","affiliations":[],"preferred":false,"id":719952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKnight, D.M.","contributorId":189736,"corporation":false,"usgs":false,"family":"McKnight","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":719953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":719950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Littmann, S.","contributorId":199757,"corporation":false,"usgs":false,"family":"Littmann","given":"S.","email":"","affiliations":[],"preferred":false,"id":719954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuypers, M.M.M.","contributorId":199758,"corporation":false,"usgs":false,"family":"Kuypers","given":"M.M.M.","affiliations":[],"preferred":false,"id":719955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foreman, C.M.","contributorId":199759,"corporation":false,"usgs":false,"family":"Foreman","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":719956,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193454,"text":"70193454 - 2017 - Creating multithemed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method","interactions":[],"lastModifiedDate":"2017-11-10T15:02:08","indexId":"70193454","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Creating multithemed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method","docAbstract":"Understanding broad-scale ecological patterns and processes often involves accounting for regional-scale heterogeneity. A common way to do so is to include ecological regions in sampling schemes and empirical models. However, most existing ecological regions were developed for specific purposes, using a limited set of geospatial features and irreproducible methods. Our study purpose was to: (1) describe a method that takes advantage of recent computational advances and increased availability of regional and global data sets to create customizable and reproducible ecological regions, (2) make this algorithm available for use and modification by others studying different ecosystems, variables of interest, study extents, and macroscale ecology research questions, and (3) demonstrate the power of this approach for the research question—How well do these regions capture regional-scale variation in lake water quality? To achieve our purpose we: (1) used a spatially constrained spectral clustering algorithm that balances geospatial homogeneity and region contiguity to create ecological regions using multiple terrestrial, climatic, and freshwater geospatial data for 17 northeastern U.S. states (~1,800,000 km2); (2) identified which of the 52 geospatial features were most influential in creating the resulting 100 regions; and (3) tested the ability of these ecological regions to capture regional variation in water nutrients and clarity for ~6,000 lakes. We found that: (1) a combination of terrestrial, climatic, and freshwater geospatial features influenced region creation, suggesting that the oft-ignored freshwater landscape provides novel information on landscape variability not captured by traditionally used climate and terrestrial metrics; and (2) the delineated regions captured macroscale heterogeneity in ecosystem properties not included in region delineation—approximately 40% of the variation in total phosphorus and water clarity among lakes was at the regional scale. Our results demonstrate the usefulness of this method for creating customizable and reproducible regions for research and management applications.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2884","usgsCitation":"Cheruvelil, K.S., Yuan, S., Webster, K.E., Tan, P., Lapierre, J., Collins, S.M., Fergus, C.E., Scott, C.E., Norton Henry, E., Soranno, P.A., Filstrup, C.T., and Wagner, T., 2017, Creating multithemed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method: Ecology and Evolution, v. 7, no. 9, p. 3046-3058, https://doi.org/10.1002/ece3.2884.","productDescription":"13 p.","startPage":"3046","endPage":"3058","ipdsId":"IP-078752","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2884","text":"Publisher Index Page"},{"id":348589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.734375,\n 35.96022296929667\n ],\n [\n -66.62109375,\n 35.96022296929667\n ],\n [\n -66.62109375,\n 49.03786794532644\n ],\n [\n -97.734375,\n 49.03786794532644\n ],\n [\n -97.734375,\n 35.96022296929667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-26","publicationStatus":"PW","scienceBaseUri":"5a06c8cee4b09af898c8612a","contributors":{"authors":[{"text":"Cheruvelil, Kendra Spence","contributorId":150607,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"Spence","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yuan, Shuai","contributorId":172187,"corporation":false,"usgs":false,"family":"Yuan","given":"Shuai","affiliations":[],"preferred":false,"id":721617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tan, Pang-Ning","contributorId":172193,"corporation":false,"usgs":false,"family":"Tan","given":"Pang-Ning","affiliations":[],"preferred":false,"id":721619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lapierre, Jean-Francois","contributorId":172182,"corporation":false,"usgs":false,"family":"Lapierre","given":"Jean-Francois","email":"","affiliations":[],"preferred":false,"id":721620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Sarah M.","contributorId":172181,"corporation":false,"usgs":false,"family":"Collins","given":"Sarah","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fergus, C. Emi","contributorId":150608,"corporation":false,"usgs":false,"family":"Fergus","given":"C.","email":"","middleInitial":"Emi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721622,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scott, Caren E.","contributorId":172184,"corporation":false,"usgs":false,"family":"Scott","given":"Caren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721623,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Norton Henry, Emily","contributorId":200254,"corporation":false,"usgs":false,"family":"Norton Henry","given":"Emily","email":"","affiliations":[],"preferred":false,"id":721624,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721625,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Filstrup, Christopher T.","contributorId":169032,"corporation":false,"usgs":false,"family":"Filstrup","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":721626,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719125,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70193115,"text":"70193115 - 2017 - Experimental evaluation of four ground-motion scaling methods for dynamic response-history analysis of nonlinear structures","interactions":[],"lastModifiedDate":"2017-10-31T10:24:59","indexId":"70193115","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1101,"text":"Bulletin of Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Experimental evaluation of four ground-motion scaling methods for dynamic response-history analysis of nonlinear structures","docAbstract":"This paper experimentally evaluates four methods to scale earthquake ground-motions within an ensemble of records to minimize the statistical dispersion and maximize the accuracy in the dynamic peak roof drift demand and peak inter-story drift demand estimates from response-history analyses of nonlinear building structures. The scaling methods that are investigated are based on: (1) ASCE/SEI 7–10 guidelines; (2) spectral acceleration at the fundamental (first mode) period of the structure, Sa(T1); (3) maximum incremental velocity, MIV; and (4) modal pushover analysis. A total of 720 shake-table tests of four small-scale nonlinear building frame specimens with different static and dynamic characteristics are conducted. The peak displacement demands from full suites of 36 near-fault ground-motion records as well as from smaller “unbiased” and “biased” design subsets (bins) of ground-motions are included. Out of the four scaling methods, ground-motions scaled to the median MIV of the ensemble resulted in the smallest dispersion in the peak roof and inter-story drift demands. Scaling based on MIValso provided the most accurate median demands as compared with the “benchmark” demands for structures with greater nonlinearity; however, this accuracy was reduced for structures exhibiting reduced nonlinearity. The modal pushover-based scaling (MPS) procedure was the only method to conservatively overestimate the median drift demands.
","language":"English","publisher":"Springer","doi":"10.1007/s10518-016-0052-z","usgsCitation":"O’Donnell, A.P., Kurama, Y.C., Kalkan, E., and Taflanidis, A.A., 2017, Experimental evaluation of four ground-motion scaling methods for dynamic response-history analysis of nonlinear structures: Bulletin of Earthquake Engineering, v. 15, no. 5, p. 1899-1924, https://doi.org/10.1007/s10518-016-0052-z.","productDescription":"26 p.","startPage":"1899","endPage":"1924","ipdsId":"IP-069003","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-02","publicationStatus":"PW","scienceBaseUri":"59f98bb6e4b0531197af9fea","contributors":{"authors":[{"text":"O’Donnell, Andrew P.","contributorId":199049,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":718026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurama, Yahya C.","contributorId":199050,"corporation":false,"usgs":false,"family":"Kurama","given":"Yahya","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":718027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":718025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taflanidis, Alexandros A.","contributorId":199051,"corporation":false,"usgs":false,"family":"Taflanidis","given":"Alexandros","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718028,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193706,"text":"70193706 - 2017 - Using variance structure to quantify responses to perturbation in fish catches","interactions":[],"lastModifiedDate":"2017-11-04T20:18:50","indexId":"70193706","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Using variance structure to quantify responses to perturbation in fish catches","docAbstract":"We present a case study evaluation of gill-net catches of Walleye Sander vitreus to assess potential effects of large-scale changes in Oneida Lake, New York, including the disruption of trophic interactions by double-crested cormorants Phalacrocorax auritus and invasive dreissenid mussels. We used the empirical long-term gill-net time series and a negative binomial linear mixed model to partition the variability in catches into spatial and coherent temporal variance components, hypothesizing that variance partitioning can help quantify spatiotemporal variability and determine whether variance structure differs before and after large-scale perturbations. We found that the mean catch and the total variability of catches decreased following perturbation but that not all sampling locations responded in a consistent manner. There was also evidence of some spatial homogenization concurrent with a restructuring of the relative productivity of individual sites. Specifically, offshore sites generally became more productive following the estimated break point in the gill-net time series. These results provide support for the idea that variance structure is responsive to large-scale perturbations; therefore, variance components have potential utility as statistical indicators of response to a changing environment more broadly. The modeling approach described herein is flexible and would be transferable to other systems and metrics. For example, variance partitioning could be used to examine responses to alternative management regimes, to compare variability across physiographic regions, and to describe differences among climate zones. Understanding how individual variance components respond to perturbation may yield finer-scale insights into ecological shifts than focusing on patterns in the mean responses or total variability alone.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1301992","usgsCitation":"Vidal, T.E., Irwin, B.J., Wagner, T., Rudstam, L.G., Jackson, J.R., and Bence, J., 2017, Using variance structure to quantify responses to perturbation in fish catches: Transactions of the American Fisheries Society, v. 146, no. 4, p. 584-593, https://doi.org/10.1080/00028487.2017.1301992.","productDescription":"10 p.","startPage":"584","endPage":"593","ipdsId":"IP-068926","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-25","publicationStatus":"PW","scienceBaseUri":"59fedfb3e4b0531197b573c0","contributors":{"authors":[{"text":"Vidal, Tiffany E.","contributorId":169096,"corporation":false,"usgs":false,"family":"Vidal","given":"Tiffany","email":"","middleInitial":"E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":720353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":720356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, James R.","contributorId":55709,"corporation":false,"usgs":false,"family":"Jackson","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":720357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":720358,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191259,"text":"70191259 - 2017 - Undiscovered porphyry copper resources in the Urals—A probabilistic mineral resource assessment","interactions":[],"lastModifiedDate":"2017-10-02T13:30:35","indexId":"70191259","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Undiscovered porphyry copper resources in the Urals—A probabilistic mineral resource assessment","docAbstract":"A probabilistic mineral resource assessment of metal resources in undiscovered porphyry copper deposits of the Ural Mountains in Russia and Kazakhstan was done using a quantitative form of mineral resource assessment. Permissive tracts were delineated on the basis of mapped and inferred subsurface distributions of igneous rocks assigned to tectonic zones that include magmatic arcs where the occurrence of porphyry copper deposits within 1 km of the Earth's surface are possible. These permissive tracts outline four north-south trending volcano-plutonic belts in major structural zones of the Urals. From west to east, these include permissive lithologies for porphyry copper deposits associated with Paleozoic subduction-related island-arc complexes preserved in the Tagil and Magnitogorsk arcs, Paleozoic island-arc fragments and associated tonalite-granodiorite intrusions in the East Uralian zone, and Carboniferous continental-margin arcs developed on the Kazakh craton in the Transuralian zone. The tracts range from about 50,000 to 130,000 km2 in area. The Urals host 8 known porphyry copper deposits with total identified resources of about 6.4 million metric tons of copper, at least 20 additional porphyry copper prospect areas, and numerous copper-bearing skarns and copper occurrences.
Probabilistic estimates predict a mean of 22 undiscovered porphyry copper deposits within the four permissive tracts delineated in the Urals. Combining estimates with established grade and tonnage models predicts a mean of 82 million metric tons of undiscovered copper. Application of an economic filter suggests that about half of that amount could be economically recoverable based on assumed depth distributions, availability of infrastructure, recovery rates, current metals prices, and investment environment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.09.007","usgsCitation":"Hammarstrom, J.M., Mihalasky, M.J., Ludington, S., Phillips, J., Berger, B.R., Denning, P., Dicken, C., Mars, J.C., Zientek, M.L., Herrington, R.J., and Seltmann, R., 2017, Undiscovered porphyry copper resources in the Urals—A probabilistic mineral resource assessment: Ore Geology Reviews, v. 85, p. 181-203, https://doi.org/10.1016/j.oregeorev.2016.09.007.","productDescription":"23 p.","startPage":"181","endPage":"203","ipdsId":"IP-068679","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":461619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2016.09.007","text":"Publisher Index Page"},{"id":346315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Kazakhstan, Russia","otherGeospatial":"Urals","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 56,\n 50\n ],\n [\n 68,\n 50\n ],\n [\n 68,\n 70\n ],\n [\n 56,\n 70\n ],\n [\n 56,\n 50\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d35026e4b05fe04cc34d54","contributors":{"authors":[{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":711714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":false,"id":711715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludington, Stephen 0000-0002-6265-4996 slud@usgs.gov","orcid":"https://orcid.org/0000-0002-6265-4996","contributorId":172672,"corporation":false,"usgs":true,"family":"Ludington","given":"Stephen","email":"slud@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":711716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Jeffrey 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":127453,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":711717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":711718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denning, Paul pdenning@usgs.gov","contributorId":168842,"corporation":false,"usgs":true,"family":"Denning","given":"Paul","email":"pdenning@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dicken, Connie cdicken@usgs.gov","contributorId":172878,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mars, John C. 0000-0002-0421-1388 jmars@usgs.gov","orcid":"https://orcid.org/0000-0002-0421-1388","contributorId":178265,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"C.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711721,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":711722,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herrington, Richard J.","contributorId":70688,"corporation":false,"usgs":true,"family":"Herrington","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711723,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Seltmann, Reimar","contributorId":73450,"corporation":false,"usgs":true,"family":"Seltmann","given":"Reimar","email":"","affiliations":[],"preferred":false,"id":711724,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70188091,"text":"70188091 - 2017 - Stable isotope analyses of oxygen (18O:17O:16O) and chlorine (37Cl:35Cl) in perchlorate: reference materials, calibrations, methods, and interferences","interactions":[],"lastModifiedDate":"2017-05-31T12:36:37","indexId":"70188091","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Stable isotope analyses of oxygen (18O:17O:16O) and chlorine (37Cl:35Cl) in perchlorate: reference materials, calibrations, methods, and interferences","title":"Stable isotope analyses of oxygen (18O:17O:16O) and chlorine (37Cl:35Cl) in perchlorate: reference materials, calibrations, methods, and interferences","docAbstract":"Rationale
Perchlorate (ClO4−) is a common trace constituent of water, soils, and plants; it has both natural and synthetic sources and is subject to biodegradation. The stable isotope ratios of Cl and O provide three independent quantities for ClO4− source attribution and natural attenuation studies: δ37Cl, δ18O, and δ17O (or Δ17O or 17Δ) values. Documented reference materials, calibration schemes, methods, and interferences will improve the reliability of such studies.
Methods
Three large batches of KClO4 with contrasting isotopic compositions were synthesized and analyzed against VSMOW-SLAP, atmospheric O2, and international nitrate and chloride reference materials. Three analytical methods were tested for O isotopes: conversion of ClO4− to CO for continuous-flow IRMS (CO-CFIRMS), decomposition to O2 for dual-inlet IRMS (O2-DIIRMS), and decomposition to O2 with molecular-sieve trap (O2-DIIRMS+T). For Cl isotopes, KCl produced by thermal decomposition of KClO4 was reprecipitated as AgCl and converted into CH3Cl for DIIRMS.
Results
KClO4 isotopic reference materials (USGS37, USGS38, USGS39) represent a wide range of Cl and O isotopic compositions, including non-mass-dependent O isotopic variation. Isotopic fractionation and exchange can affect O isotope analyses of ClO4− depending on the decomposition method. Routine analyses can be adjusted for such effects by normalization, using reference materials prepared and analyzed as samples. Analytical errors caused by SO42−, NO3−, ReO42−, and C-bearing contaminants include isotope mixing and fractionation effects on CO and O2, plus direct interference from CO2 in the mass spectrometer. The results highlight the importance of effective purification of ClO4− from environmental samples.
Conclusions
KClO4 reference materials are available for testing methods and calibrating isotopic data for ClO4− and other substances with widely varying Cl or O isotopic compositions. Current ClO4−extraction, purification, and analysis techniques provide relative isotope-ratio measurements with uncertainties much smaller than the range of values in environmental ClO4−, permitting isotopic evaluation of environmental ClO4− sources and natural attenuation.
","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7751","usgsCitation":"Bohlke, J., Mroczkowski, S.J., Sturchio, N.C., Heraty, L.J., Richman, K.W., Sullivan, D.B., Griffith, K.N., Gu, B., and Hatzinger, P., 2017, Stable isotope analyses of oxygen (18O:17O:16O) and chlorine (37Cl:35Cl) in perchlorate: reference materials, calibrations, methods, and interferences: Rapid Communications in Mass Spectrometry, v. 31, no. 1, p. 85-110, https://doi.org/10.1002/rcm.7751.","productDescription":"26 p.","startPage":"85","endPage":"110","ipdsId":"IP-079870","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":341925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"592fd63de4b0e9bd0ea896e9","contributors":{"authors":[{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":696640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":696641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":696642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heraty, Linnea J.","contributorId":192520,"corporation":false,"usgs":false,"family":"Heraty","given":"Linnea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richman, Kent W.","contributorId":192519,"corporation":false,"usgs":false,"family":"Richman","given":"Kent","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":696644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Donald B.","contributorId":192517,"corporation":false,"usgs":false,"family":"Sullivan","given":"Donald","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":696645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Griffith, Kris N.","contributorId":192518,"corporation":false,"usgs":false,"family":"Griffith","given":"Kris","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":696646,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gu, Baohua","contributorId":15504,"corporation":false,"usgs":true,"family":"Gu","given":"Baohua","affiliations":[],"preferred":false,"id":696648,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hatzinger, Paul B.","contributorId":43204,"corporation":false,"usgs":true,"family":"Hatzinger","given":"Paul B.","affiliations":[],"preferred":false,"id":696647,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70187393,"text":"70187393 - 2017 - Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015","interactions":[],"lastModifiedDate":"2019-12-17T09:28:42","indexId":"70187393","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015","docAbstract":"Periodic assessments of population trends and changes in spatial distribution are valuable for managing marine birds and their breeding habitats, particularly when evaluating long-term response to threats such as oil spills, predation pressure, and changing ocean conditions. We evaluated recent trends in abundance and distribution of the Common Murre Uria aalge within Copalis, Quillayute Needles, and Flattery Rocks National Wildlife Refuges, which include all murre colonies in Washington except one, off-refuge, on Tatoosh Island. In 1996-2001 and 2010-2015, aerial photographic surveys were conducted during the incubation phase (mid-June through mid-July) each year. Using images from film (1996-2001) and digital (2010-2015) cameras that included all parts of each colony, we manually counted murres. We estimated population trend as annual percent change in whole-colony counts using an overdispersed Poisson regression model. Overall, numbers of murres counted at breeding colonies in Washington increased by 8.8% per year (95% CI 3.0%-14.9%) during 1996–2015. The overall statewide increase was driven by an increase at colonies in northern Washington of approximately 11% per year (95% CI 4.5%-17.8%). Despite an increasing trend, abundance remains lower than levels in the late 1970s, and the spatial distribution has changed. Colonies in southern Washington - where murres were historically the most abundant - are no longer active, or only minimally so, whereas colonies in the north - which were rarely active in the early 1970s - are now the largest. There was high variability in spatial distribution among years, a pattern that indicates a need for coordinated monitoring and movement studies throughout the California Current System to understand dispersal and colonization. Our results indicate that future management of refuge islands could protect both current and historic colony locations, given the patterns of colony dynamics and the uncertainty about long-term effects of a changing ocean ecosystem and predation pressure on the status of murres.
","language":"English","publisher":"Marine Ornithology","usgsCitation":"Thomas, S., and Lyons, J.E., 2017, Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015: Marine Ornithology: Journal of Seabird Research and Conservation, v. 45, no. 1, p. 95-102.","productDescription":"8 p.","startPage":"95","endPage":"102","ipdsId":"IP-079216","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340685,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1206"}],"country":"United States","state":"Washington","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-122.519535,48.288314],[-122.551793,48.281512],[-122.584086,48.297987],[-122.618466,48.294159],[-122.626757,48.288991],[-122.620748,48.282961],[-122.623779,48.269431],[-122.652639,48.265081],[-122.66921,48.240614],[-122.668385,48.223967],[-122.628352,48.222467],[-122.606406,48.208262],[-122.588138,48.18594],[-122.558205,48.119579],[-122.571853,48.102143],[-122.54512,48.05255],[-122.513994,48.059077],[-122.511081,48.075301],[-122.525422,48.096537],[-122.513276,48.097538],[-122.491104,48.094242],[-122.431266,48.045001],[-122.376259,48.034457],[-122.373263,48.000791],[-122.353611,47.981433],[-122.349597,47.958796],[-122.358812,47.93742],[-122.376837,47.923703],[-122.380497,47.904023],[-122.397349,47.912401],[-122.431035,47.914732],[-122.445519,47.930226],[-122.44076,47.951845],[-122.446682,47.963155],[-122.47266,47.988449],[-122.501257,47.987089],[-122.521219,47.972997],[-122.546824,47.967215],[-122.552053,47.973644],[-122.542924,47.996404],[-122.58178,48.010386],[-122.607342,48.030992],[-122.593621,48.0472],[-122.594922,48.056318],[-122.614028,48.072788],[-122.598301,48.110616],[-122.609568,48.15186],[-122.633167,48.163281],[-122.677337,48.154587],[-122.693084,48.181509],[-122.763042,48.215342],[-122.770045,48.224395],[-122.752563,48.260061],[-122.732022,48.279425],[-122.72259,48.304268],[-122.673731,48.354683],[-122.664928,48.374823],[-122.664659,48.401508],[-122.634991,48.404244],[-122.63582,48.395128],[-122.609715,48.411565],[-122.60198,48.409907],[-122.595351,48.3972],[-122.585038,48.395166],[-122.585162,48.353304],[-122.551334,48.342138],[-122.506568,48.310041],[-122.505828,48.297677],[-122.519535,48.288314]]],[[[-122.474684,47.511068],[-122.452399,47.503471],[-122.460027,47.48686],[-122.433385,47.46643],[-122.439415,47.458633],[-122.437656,47.407424],[-122.395054,47.399277],[-122.373628,47.388718],[-122.437809,47.365606],[-122.453997,47.343337],[-122.469702,47.344623],[-122.493122,47.330253],[-122.51885,47.33332],[-122.528128,47.345542],[-122.517797,47.368678],[-122.526733,47.398581],[-122.514703,47.414048],[-122.513328,47.449106],[-122.497862,47.475915],[-122.482739,47.483133],[-122.474684,47.511068]]],[[[-122.695907,48.737273],[-122.663259,48.697077],[-122.644901,48.691389],[-122.618225,48.670721],[-122.609576,48.645018],[-122.635299,48.651846],[-122.673538,48.680809],[-122.691795,48.711498],[-122.718833,48.716818],[-122.722262,48.731624],[-122.715709,48.748672],[-122.695907,48.737273]]],[[[-123.035393,49.002154],[-123.021459,48.977299],[-123.028091,48.973943],[-123.083834,48.976139],[-123.090546,49.001976],[-123.035393,49.002154]]],[[[-122.800217,48.60169],[-122.804869,48.595932],[-122.801096,48.585425],[-122.770349,48.558106],[-122.788503,48.530393],[-122.787347,48.523012],[-122.777467,48.517799],[-122.779124,48.508911],[-122.817912,48.483888],[-122.81973,48.458843],[-122.803521,48.428748],[-122.812208,48.422326],[-122.874135,48.418196],[-122.893646,48.422655],[-122.889016,48.435947],[-122.913888,48.443231],[-122.928004,48.439966],[-122.91646,48.453263],[-122.926901,48.460874],[-122.962009,48.451161],[-123.039156,48.460003],[-123.067675,48.479497],[-123.119451,48.492576],[-123.141478,48.505291],[-123.163234,48.529544],[-123.16147,48.547618],[-123.176266,48.562131],[-123.173061,48.579086],[-123.184941,48.58697],[-123.197754,48.586216],[-123.203026,48.596178],[-123.178425,48.622115],[-123.107362,48.622451],[-123.098462,48.612834],[-123.101552,48.59782],[-123.074611,48.591816],[-123.048403,48.569216],[-123.015046,48.560821],[-122.987296,48.561895],[-122.98611,48.569984],[-122.995026,48.578162],[-123.016647,48.580244],[-123.034101,48.591767],[-123.023433,48.599477],[-123.04653,48.61149],[-123.048652,48.621002],[-123.023495,48.634001],[-123.009924,48.655064],[-122.949116,48.693398],[-122.942367,48.706723],[-122.894599,48.71503],[-122.833124,48.698173],[-122.800267,48.67962],[-122.743049,48.661991],[-122.755031,48.649512],[-122.792147,48.633502],[-122.809622,48.619035],[-122.800217,48.60169]]],[[[-123.197953,48.68466],[-123.186076,48.684917],[-123.14799,48.668001],[-123.106165,48.633473],[-123.134956,48.63724],[-123.215917,48.669352],[-123.237148,48.683466],[-123.236567,48.68895],[-123.212892,48.689713],[-123.197953,48.68466]]],[[[-123.025486,48.717966],[-123.007511,48.718863],[-123.005086,48.694342],[-123.021215,48.681416],[-123.042337,48.675663],[-123.03636,48.69008],[-123.070427,48.699971],[-123.040179,48.717296],[-123.025486,48.717966]]],[[[-122.649405,48.588457],[-122.610841,48.561146],[-122.578856,48.54813],[-122.572967,48.529028],[-122.599948,48.536904],[-122.635738,48.526021],[-122.649256,48.528769],[-122.654342,48.537956],[-122.649405,48.588457]]],[[[-122.714512,48.60878],[-122.694672,48.596602],[-122.670638,48.568812],[-122.68944,48.543903],[-122.722407,48.540606],[-122.73048,48.565602],[-122.73944,48.573893],[-122.739898,48.583949],[-122.714512,48.60878]]],[[[-122.699266,48.621115],[-122.674173,48.629944],[-122.657016,48.609891],[-122.676796,48.610055],[-122.699266,48.621115]]],[[[-122.334524,48.018916],[-122.321721,48.019977],[-122.303455,48.005603],[-122.326115,48.010295],[-122.334524,48.018916]]],[[[-122.418268,47.320614],[-122.324833,47.348521],[-122.328434,47.400621],[-122.348035,47.415921],[-122.355135,47.441921],[-122.383136,47.450521],[-122.368036,47.459221],[-122.361336,47.481421],[-122.396538,47.51522],[-122.398338,47.55012],[-122.421139,47.57602],[-122.387139,47.59572],[-122.370167,47.583087],[-122.342937,47.59122],[-122.339513,47.599113],[-122.344937,47.60912],[-122.367819,47.624213],[-122.414645,47.639766],[-122.429841,47.658919],[-122.393248,47.701602],[-122.38044,47.709119],[-122.37314,47.729219],[-122.382641,47.749119],[-122.380241,47.758519],[-122.396422,47.777927],[-122.394944,47.803318],[-122.33595,47.852306],[-122.328546,47.897917],[-122.311927,47.923703],[-122.307048,47.949117],[-122.249007,47.959507],[-122.230046,47.970917],[-122.226346,47.976417],[-122.232391,47.987713],[-122.224979,48.016626],[-122.231761,48.029876],[-122.281087,48.049793],[-122.326119,48.092877],[-122.343241,48.097631],[-122.363842,48.12393],[-122.370253,48.164809],[-122.362044,48.187568],[-122.372492,48.193022],[-122.395499,48.228551],[-122.433767,48.23655],[-122.449605,48.232598],[-122.45371,48.228859],[-122.449513,48.214736],[-122.441731,48.211776],[-122.45493,48.196639],[-122.478535,48.188087],[-122.479008,48.175703],[-122.442383,48.130841],[-122.379481,48.087384],[-122.358375,48.056133],[-122.377114,48.057568],[-122.400692,48.085255],[-122.4675,48.130353],[-122.489986,48.120617],[-122.512031,48.133931],[-122.53722,48.183745],[-122.538916,48.209683],[-122.530996,48.249821],[-122.503786,48.257045],[-122.480925,48.251706],[-122.463962,48.270541],[-122.406516,48.25183],[-122.395328,48.257187],[-122.392058,48.269628],[-122.371693,48.287839],[-122.408718,48.326413],[-122.442678,48.337934],[-122.475529,48.359912],[-122.507437,48.364666],[-122.533452,48.383409],[-122.539449,48.39719],[-122.554536,48.40604],[-122.558403,48.426758],[-122.551221,48.439465],[-122.557298,48.444438],[-122.575254,48.443333],[-122.581607,48.429244],[-122.61448,48.41488],[-122.649839,48.408526],[-122.674158,48.424726],[-122.678928,48.439466],[-122.654844,48.454087],[-122.657753,48.47294],[-122.664623,48.478128],[-122.689121,48.476849],[-122.700603,48.457632],[-122.712322,48.464143],[-122.712981,48.47879],[-122.701644,48.497622],[-122.684521,48.509123],[-122.671386,48.50398],[-122.606961,48.522152],[-122.599951,48.520946],[-122.598469,48.512169],[-122.568071,48.50821],[-122.537355,48.466749],[-122.500721,48.460887],[-122.471832,48.470724],[-122.46967,48.474975],[-122.483501,48.49243],[-122.485288,48.528106],[-122.498463,48.556206],[-122.504428,48.564775],[-122.531978,48.568644],[-122.534719,48.574246],[-122.495904,48.575927],[-122.478431,48.559303],[-122.44456,48.570115],[-122.425271,48.599522],[-122.448702,48.622624],[-122.46425,48.625717],[-122.500308,48.656163],[-122.519172,48.713095],[-122.495301,48.737328],[-122.490401,48.751128],[-122.510902,48.757728],[-122.535803,48.776128],[-122.567498,48.779185],[-122.596844,48.771492],[-122.637146,48.735708],[-122.626287,48.72093],[-122.612562,48.714932],[-122.605733,48.701066],[-122.615169,48.693839],[-122.630422,48.696625],[-122.673472,48.733082],[-122.647443,48.773998],[-122.646777,48.785011],[-122.693683,48.804475],[-122.699303,48.789063],[-122.709815,48.786205],[-122.709169,48.817829],[-122.717073,48.84719],[-122.793175,48.892927],[-122.751289,48.911239],[-122.746596,48.930731],[-122.766096,48.941955],[-122.787539,48.931702],[-122.821631,48.941369],[-122.817226,48.95597],[-122.774276,48.991038],[-122.756318,48.996881],[-122.75802,49.002357],[-121.751252,48.997399],[-117.032351,48.999188],[-117.042623,47.761223],[-117.039813,46.425425],[-117.034696,46.418318],[-117.046915,46.379577],[-117.062785,46.365287],[-117.062748,46.353624],[-117.055983,46.345531],[-117.023844,46.335976],[-117.020663,46.314793],[-116.986688,46.296662],[-116.991134,46.276342],[-116.966742,46.256923],[-116.955264,46.23088],[-116.965841,46.203417],[-116.92187,46.167808],[-116.950276,46.123464],[-116.955263,46.102237],[-116.976957,46.09667],[-116.982479,46.089389],[-116.978938,46.080007],[-116.957372,46.075449],[-116.942656,46.061],[-116.91718,45.996575],[-118.987129,45.999855],[-119.027056,45.969134],[-119.12612,45.932859],[-119.19553,45.92787],[-119.25715,45.939926],[-119.322509,45.933183],[-119.364396,45.921605],[-119.450256,45.917354],[-119.487829,45.906307],[-119.524632,45.908605],[-119.571584,45.925456],[-119.600549,45.919581],[-119.623393,45.905639],[-119.669877,45.856867],[-119.772927,45.845578],[-119.802655,45.84753],[-119.907461,45.828135],[-119.965744,45.824365],[-120.07015,45.785152],[-120.141352,45.773152],[-120.170453,45.761951],[-120.210754,45.725951],[-120.282156,45.72125],[-120.40396,45.699249],[-120.482362,45.694449],[-120.505863,45.700048],[-120.559465,45.738348],[-120.591166,45.746547],[-120.634968,45.745847],[-120.68937,45.715847],[-120.855674,45.671545],[-120.895575,45.642945],[-120.913476,45.640045],[-120.943977,45.656445],[-120.983478,45.648344],[-121.06437,45.652549],[-121.084933,45.647893],[-121.120064,45.623134],[-121.117052,45.618117],[-121.145534,45.607886],[-121.183841,45.606441],[-121.196556,45.616689],[-121.200367,45.649829],[-121.215779,45.671238],[-121.33777,45.704949],[-121.372574,45.703111],[-121.401739,45.692887],[-121.423592,45.69399],[-121.462849,45.701367],[-121.499153,45.720846],[-121.533106,45.726541],[-121.631167,45.704657],[-121.668362,45.705082],[-121.707358,45.694809],[-121.735104,45.694039],[-121.811304,45.706761],[-121.867167,45.693277],[-121.901855,45.670716],[-121.900858,45.662009],[-121.908267,45.654399],[-121.935149,45.644169],[-121.955734,45.643559],[-121.963547,45.632784],[-121.983038,45.622812],[-122.044374,45.609516],[-122.101675,45.583516],[-122.183695,45.577696],[-122.2017,45.564141],[-122.266701,45.543841],[-122.331502,45.548241],[-122.352802,45.569441],[-122.380302,45.575941],[-122.438674,45.563585],[-122.548149,45.596768],[-122.675008,45.618039],[-122.76381,45.657138],[-122.774511,45.680437],[-122.760108,45.734413],[-122.761451,45.759163],[-122.769532,45.780583],[-122.795605,45.81],[-122.785026,45.867699],[-122.81151,45.912725],[-122.806193,45.932416],[-122.813998,45.960984],[-122.837638,45.98082],[-122.856158,46.014469],[-122.878092,46.031281],[-122.884478,46.06028],[-122.904119,46.083734],[-122.962681,46.104817],[-123.004233,46.133823],[-123.041297,46.146351],[-123.115904,46.185268],[-123.166414,46.188973],[-123.280166,46.144843],[-123.371433,46.146372],[-123.430847,46.181827],[-123.427629,46.229348],[-123.474844,46.267831],[-123.501245,46.271004],[-123.547659,46.259109],[-123.547636,46.265595],[-123.613544,46.259988],[-123.669501,46.266832],[-123.679125,46.272502],[-123.680574,46.296025],[-123.700764,46.305278],[-123.724273,46.301161],[-123.727913,46.289661],[-123.741478,46.290274],[-123.766682,46.273499],[-123.806139,46.283588],[-123.875525,46.239787],[-123.919581,46.251217],[-123.954353,46.277001],[-123.974509,46.303063],[-124.001264,46.31326],[-124.020551,46.315737],[-124.029924,46.308312],[-124.044018,46.275925],[-124.060961,46.278761],[-124.080671,46.267239],[-124.064624,46.326899],[-124.057425,46.409315],[-124.057024,46.493338],[-124.068655,46.634879],[-124.062715,46.642582],[-124.048444,46.645827],[-124.035874,46.630822],[-124.052708,46.622796],[-124.050842,46.617421],[-124.023566,46.582559],[-124.031737,46.496375],[-124.026032,46.462978],[-123.990615,46.463019],[-123.99268,46.488617],[-123.983688,46.498542],[-123.968044,46.473497],[-123.943667,46.477197],[-123.921192,46.507731],[-123.896703,46.522665],[-123.894254,46.537028],[-123.920247,46.567343],[-123.928861,46.588875],[-123.955556,46.60357],[-123.960642,46.636364],[-123.921913,46.650262],[-123.923269,46.672708],[-123.851356,46.70256],[-123.84621,46.716795],[-123.87668,46.730657],[-123.898641,46.750205],[-123.916371,46.741322],[-123.91285,46.730647],[-123.916874,46.726739],[-123.948683,46.725369],[-123.968564,46.736106],[-123.974994,46.733391],[-123.979655,46.724658],[-123.966886,46.705184],[-123.994242,46.707929],[-124.003458,46.702337],[-124.063117,46.733664],[-124.092176,46.741624],[-124.108078,46.836388],[-124.138225,46.905534],[-124.110641,46.91252],[-124.093392,46.901168],[-124.089286,46.867716],[-124.073113,46.861493],[-124.055085,46.870429],[-124.046344,46.893972],[-124.01366,46.90363],[-123.985082,46.921916],[-123.957493,46.921261],[-123.86018,46.948556],[-123.898245,46.971927],[-123.939214,46.969739],[-123.959185,46.981759],[-124.012218,46.985176],[-124.019727,46.991189],[-124.005248,47.003915],[-124.017035,47.011717],[-124.026345,47.030187],[-124.065856,47.04114],[-124.122057,47.04165],[-124.141517,47.035142],[-124.151288,47.021112],[-124.138035,46.970959],[-124.124386,46.94387],[-124.180111,46.926357],[-124.169113,46.994508],[-124.182802,47.134041],[-124.236349,47.287287],[-124.25359,47.30248],[-124.271193,47.305025],[-124.299943,47.34836],[-124.319379,47.355559],[-124.336724,47.415996],[-124.355955,47.545698],[-124.382215,47.632302],[-124.412106,47.691199],[-124.425195,47.738434],[-124.453927,47.765334],[-124.47657,47.769671],[-124.489737,47.816988],[-124.539927,47.836967],[-124.562363,47.866216],[-124.625512,47.887963],[-124.645442,47.935338],[-124.672427,47.964414],[-124.67083,47.982366],[-124.682157,48.035987],[-124.696542,48.069274],[-124.695114,48.087096],[-124.687101,48.098657],[-124.733174,48.163393],[-124.731746,48.169997],[-124.704153,48.184422],[-124.696111,48.198599],[-124.690389,48.219745],[-124.705031,48.238774],[-124.684677,48.255228],[-124.676319,48.295143],[-124.665908,48.299324],[-124.65894,48.331057],[-124.670072,48.341341],[-124.696703,48.349748],[-124.727022,48.371101],[-124.731828,48.381157],[-124.716947,48.389776],[-124.653243,48.390691],[-124.631108,48.376522],[-124.599278,48.381035],[-124.395593,48.288772],[-124.361351,48.287582],[-124.272017,48.25441],[-124.250882,48.264773],[-124.238582,48.262471],[-124.101773,48.216883],[-124.107215,48.200082],[-124.050734,48.177747],[-123.981032,48.164761],[-123.880068,48.160621],[-123.858821,48.154273],[-123.778122,48.155466],[-123.728736,48.1628],[-123.71835,48.158713],[-123.702743,48.166783],[-123.651408,48.156952],[-123.628819,48.139279],[-123.590839,48.134949],[-123.551131,48.151382],[-123.507235,48.131807],[-123.440128,48.142014],[-123.441972,48.124259],[-123.424668,48.118065],[-123.332699,48.11297],[-123.288265,48.121036],[-123.239129,48.118217],[-123.21719,48.127203],[-123.1644,48.165894],[-123.133445,48.177276],[-123.143229,48.156633],[-123.116479,48.150208],[-123.085154,48.127137],[-123.06621,48.120469],[-123.038727,48.081138],[-122.979413,48.09594],[-122.929095,48.096244],[-122.917942,48.091535],[-122.927975,48.06665],[-122.918602,48.058238],[-122.877641,48.047025],[-122.849273,48.053808],[-122.857727,48.065774],[-122.878255,48.076072],[-122.882013,48.100779],[-122.876282,48.110877],[-122.833173,48.134406],[-122.760448,48.14324],[-122.748911,48.117026],[-122.778466,48.106135],[-122.801399,48.087561],[-122.766648,48.04429],[-122.74229,48.049324],[-122.739271,48.069153],[-122.747389,48.070795],[-122.733257,48.091232],[-122.698465,48.103102],[-122.68724,48.101662],[-122.69222,48.087081],[-122.682264,48.042723],[-122.668942,48.032026],[-122.669868,48.017217],[-122.686898,48.008305],[-122.70184,48.016106],[-122.723374,48.008095],[-122.718082,47.987739],[-122.701294,47.972979],[-122.6788,47.96793],[-122.676215,47.958743],[-122.68445,47.939593],[-122.657722,47.931156],[-122.651063,47.920985],[-122.655085,47.905058],[-122.646494,47.894771],[-122.610341,47.887343],[-122.631857,47.874815],[-122.63636,47.866186],[-122.69376,47.868002],[-122.681602,47.850405],[-122.683742,47.838773],[-122.748061,47.800546],[-122.758498,47.746036],[-122.781682,47.70392],[-122.811929,47.679861],[-122.832139,47.695511],[-122.790619,47.792597],[-122.812616,47.840029],[-122.820178,47.835904],[-122.815027,47.807493],[-122.845612,47.777474],[-122.880462,47.720643],[-122.896524,47.674838],[-122.97244,47.6149],[-123.106486,47.45817],[-123.15598,47.355745],[-123.140169,47.347496],[-123.111298,47.362619],[-123.120234,47.39149],[-122.967284,47.585685],[-122.917103,47.620743],[-122.856611,47.649615],[-122.804498,47.653363],[-122.754186,47.671612],[-122.740159,47.736228],[-122.722686,47.748827],[-122.714801,47.768176],[-122.690562,47.778372],[-122.682015,47.800882],[-122.623192,47.836199],[-122.608105,47.856728],[-122.573672,47.857582],[-122.573098,47.874081],[-122.588235,47.912923],[-122.620316,47.931553],[-122.617022,47.938987],[-122.603861,47.940478],[-122.592184,47.922519],[-122.549072,47.919072],[-122.527593,47.905882],[-122.513986,47.880807],[-122.506122,47.831745],[-122.482529,47.815511],[-122.485214,47.804128],[-122.495346,47.79704],[-122.495458,47.786692],[-122.471402,47.765965],[-122.470333,47.757109],[-122.471844,47.749819],[-122.488491,47.743605],[-122.554454,47.745704],[-122.543161,47.710941],[-122.53094,47.704814],[-122.511196,47.708715],[-122.504604,47.699136],[-122.518277,47.65132],[-122.493205,47.635122],[-122.500357,47.617816],[-122.49824,47.598242],[-122.493933,47.588963],[-122.479089,47.583654],[-122.518367,47.57408],[-122.543118,47.556326],[-122.546611,47.52355],[-122.52305,47.524],[-122.494882,47.510265],[-122.530514,47.469041],[-122.531889,47.428827],[-122.551136,47.394456],[-122.537044,47.375896],[-122.575985,47.32642],[-122.547521,47.285344],[-122.578211,47.254804],[-122.589454,47.227618],[-122.602541,47.217506],[-122.611464,47.2181],[-122.668571,47.270449],[-122.697378,47.283969],[-122.671256,47.343774],[-122.632463,47.376394],[-122.671486,47.366876],[-122.725738,47.33047],[-122.74525,47.297158],[-122.749621,47.276408],[-122.718124,47.250045],[-122.648941,47.214531],[-122.641802,47.205013],[-122.673925,47.174675],[-122.691771,47.141958],[-122.711997,47.127681],[-122.771619,47.167109],[-122.832799,47.243412],[-122.816633,47.276457],[-122.799025,47.289306],[-122.796646,47.341654],[-122.803688,47.355071],[-122.821868,47.363069],[-122.822344,47.319763],[-122.84586,47.298405],[-122.863732,47.270221],[-122.856171,47.233788],[-122.838298,47.208353],[-122.858735,47.167955],[-122.852046,47.164359],[-122.814238,47.179482],[-122.775056,47.123114],[-122.721437,47.103179],[-122.67813,47.103866],[-122.650634,47.132738],[-122.631987,47.140589],[-122.614855,47.169143],[-122.590829,47.178107],[-122.561957,47.244099],[-122.527586,47.291531],[-122.547747,47.316403],[-122.533338,47.31662],[-122.471652,47.277321],[-122.4442,47.266723],[-122.429605,47.269707],[-122.409199,47.288556],[-122.444635,47.300421],[-122.418268,47.320614]]]]},\"properties\":{\"name\":\"Washington\",\"nation\":\"USA \"}}]}","volume":"45","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5908491ee4b0fc4e448ffd3c","contributors":{"authors":[{"text":"Thomas, Susan M","contributorId":191668,"corporation":false,"usgs":false,"family":"Thomas","given":"Susan M","affiliations":[],"preferred":false,"id":693777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":693776,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192920,"text":"70192920 - 2017 - Disturbance of a rare seabird by ship-based tourism in a marine protected area","interactions":[],"lastModifiedDate":"2017-11-07T13:32:06","indexId":"70192920","displayToPublicDate":"2017-05-01T00:00:00","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":"Disturbance of a rare seabird by ship-based tourism in a marine protected area","docAbstract":"Managers of marine protected areas (MPAs) must often seek ways to allow for visitation while minimizing impacts to the resources they are intended to protect. Using shipboard observers, we quantified the “zone of disturbance” for Kittlitz’s and marbled murrelets (Brachyramphus brevirostris and B. marmoratus) exposed to large cruise ships traveling through Glacier Bay National Park, one of the largest MPAs in North America. In the upper reaches of Glacier Bay, where Kittlitz’s murrelets predominated, binary logistic regression models predicted that 61% of all murrelets within 850 m perpendicular distance of a cruise ship were disturbed (defined as flushing or diving), whereas in the lower reaches, where marbled murrelets predominated, this percentage increased to 72%. Using survival analysis, murrelets in both reaches were found to react at greater distances when ships approached indirectly, presumably because of the ship’s larger profile, suggesting murrelets responded to visual rather than audio cues. No management-relevant covariates (e.g., ship velocity, route distance from shore) were found to be important predictors of disturbance, as distance from ship to murrelet accounted for > 90% of the explained variation in murrelet response. Utilizing previously published murrelet density estimates from Glacier Bay, and applying an average empirical disturbance probability (68%) out to 850 m from a cruise ship’s typical route, we estimated that a minimum of 9.8–19.6% of all murrelets in Glacier Bay are disturbed per ship entry. Whether these disturbance levels are inconsistent with Park management objectives, which include conserving wildlife as well as providing opportunities for visitation, depends in large part on whether disturbance events caused by cruise ships have impacts on murrelet fitness, which remains uncertain.
On November 20, 2016 two novel strains of H5N6 highly pathogenic avian influenza virus (HPAIVs) were isolated from three whooper swans (Cygnus cygnus) at Gangjin Bay in South Jeolla province, South Korea. Identification of HPAIVs in wild birds is significant as there is a potential risk of transmission of these viruses to poultry and humans.
Phylogenetic analysis revealed that Gangjin H5N6 viruses classified into Asian H5 clade 2.3.4.4 lineage and were distinguishable from H5N8 and H5N1 HPAIVs previously isolated in Korea. With the exception of the polymerase acidic (PA) gene, the viruses were most closely related to A/duck/Guangdong/01.01SZSGXJK005-Y/2016 (H5N6) (98.90 ~ 99.74%). The PA genes of the two novel Gangjin H5N6 viruses were most closely related to AIV isolates previously characterized from Korea, A/hooded crane/Korea/1176/2016 (H1N1) (99.16%) and A/environment/Korea/W133/2006 (H7N7) (98.65%). The lack of more recent viruses to A/environment/Korea/W133/2006 (H7N7) indicates the need for analysis of recent wild bird AIVs isolated in Korea because they might provide further clues as to the origin of these novel reassortant H5N6 viruses.
Although research on the origins and epidemiology of these infections is ongoing, the most likely route of infection for the whooper swans was through direct or indirect contact with reassortant viruses shed by migratory wild birds in Korea. As H5N6 HPAIVs can potentially be transmitted to poultry and humans, continuous monitoring of AIVs among wild birds will help to mitigate this risk.
In reaching across traditional disciplinary boundaries, solid-Earth geophysicists and space physicists are forging new collaborations to map magnetic-storm hazards for electric-power grids. Future progress in evaluation storm time geoelectric hazards will come primarily through monitoring, surveys, and modeling of related data.
","language":"English","publisher":"AGU","doi":"10.1002/2017SW001622","usgsCitation":"Love, J.J., Bedrosian, P.A., and Schultz, A., 2017, Down to Earth with an electric hazard from space: Space Weather, v. 15, no. 5, p. 658-662, https://doi.org/10.1002/2017SW001622.","productDescription":"5 p.","startPage":"658","endPage":"662","ipdsId":"IP-086460","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017sw001622","text":"Publisher Index Page"},{"id":347337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f56","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Adam","contributorId":197380,"corporation":false,"usgs":false,"family":"Schultz","given":"Adam","affiliations":[],"preferred":false,"id":713372,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192035,"text":"70192035 - 2017 - Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake","interactions":[],"lastModifiedDate":"2017-10-24T14:13:06","indexId":"70192035","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake","docAbstract":"In November 2011, three Mw ≥ 4.8 earthquakes and thousands of aftershocks occurred along the structurally complex Wilzetta fault system near Prague, Oklahoma. Previous studies suggest that wastewater injection induced a Mw 4.8 foreshock, which subsequently triggered a Mw 5.7 mainshock. We examine source properties of aftershocks with a standard Brune-type spectral model and jointly solve for seismic moment (M0), corner frequency (f0), and kappa (κ) with an iterative Gauss-Newton global downhill optimization method. We examine 934 earthquakes with initial moment magnitudes (Mw) between 0.33 and 4.99 based on the pseudospectral acceleration and recover reasonable M0, f0, and κ for 87 earthquakes with Mw 1.83–3.51 determined by spectral fit. We use M0 and f0 to estimate the Brune-type stress drop, assuming a circular fault and shear-wave velocity at the hypocentral depth of the event. Our observations suggest that stress drops range between 0.005 and 4.8 MPa with a median of 0.2 MPa (0.03–26.4 MPa with a median of 1.1 MPa for Madariaga-type), which is significantly lower than typical eastern United States intraplate events (>10 MPa). We find that stress drops correlate weakly with hypocentral depth and magnitude. Additionally, we find the stress drops increase with time after the mainshock, although temporal variation in stress drop is difficult to separate from spatial heterogeneity and changing event locations. The overall low median stress drop suggests that the fault segments may have been primed to fail as a result of high pore fluid pressures, likely related to nearby wastewater injection.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013153","usgsCitation":"Sumy, D.F., Neighbors, C.J., Cochran, E.S., and Keranen, K.M., 2017, Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake: Journal of Geophysical Research B: Solid Earth, v. 122, no. 5, p. 3813-3834, https://doi.org/10.1002/2016JB013153.","productDescription":"22 p.","startPage":"3813","endPage":"3834","ipdsId":"IP-075342","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013153","text":"Publisher Index Page"},{"id":347249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.5,\n 34.5\n ],\n [\n -95.5,\n 34.5\n ],\n [\n -95.5,\n 36.5\n ],\n [\n -97.5,\n 36.5\n ],\n [\n -97.5,\n 34.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-21","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d9a","contributors":{"authors":[{"text":"Sumy, Danielle F.","contributorId":108025,"corporation":false,"usgs":true,"family":"Sumy","given":"Danielle","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":713942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neighbors, Corrie J.","contributorId":197629,"corporation":false,"usgs":false,"family":"Neighbors","given":"Corrie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keranen, Katie M.","contributorId":197630,"corporation":false,"usgs":false,"family":"Keranen","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196238,"text":"70196238 - 2017 - Historical biogeography sets the foundation for contemporary conservation of martens (genus Martes) in northwestern North America","interactions":[],"lastModifiedDate":"2018-03-28T11:31:36","indexId":"70196238","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Historical biogeography sets the foundation for contemporary conservation of martens (genus Martes) in northwestern North America","title":"Historical biogeography sets the foundation for contemporary conservation of martens (genus Martes) in northwestern North America","docAbstract":"Effective conservation of insular populations requires careful consideration of biogeography, including colonization histories and patterns of endemism. Across the Pacific Northwest of North America, Pacific martens (Martes caurina) and American pine martens (Martes americana) are parapatric sister species with distinctive postglacial histories. Using mitochondrial DNA and 12 nuclear microsatellite loci, we examine processes of island colonization and anthropogenic introductions across 25 populations of martens. Along the North Pacific Coast (NPC), M. caurina is now found on only 2 islands, whereas M. americana occurs on mainland Alaska and British Columbia and multiple associated islands. Island populations of M. caurina have a longer history of isolation reflected in divergent haplotypes, private microsatellite alleles, and relatively low within-population diversity. In contrast, insular M. americanahave lower among-population divergence and higher metrics of within-population diversity. On some NPC islands, introductions of M. americana may be related to decline of M. caurina. Long-term persistence of these species likely has been influenced by anthropogenic manipulations, including wildlife translocations and industrial-scale deforestation, yet, the distinctive histories of these martens have not been incorporated into natural resource policies.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyx047","usgsCitation":"Dawson, N.G., Colella, J.P., Small, M.P., Stone, K.D., Talbot, S.L., and Cook, J.A., 2017, Historical biogeography sets the foundation for contemporary conservation of martens (genus Martes) in northwestern North America: Journal of Mammalogy, v. 98, no. 3, p. 715-730, https://doi.org/10.1093/jmammal/gyx047.","productDescription":"16 p.","startPage":"715","endPage":"730","ipdsId":"IP-080701","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyx047","text":"Publisher Index Page"},{"id":352819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"5afee886e4b0da30c1bfc460","contributors":{"authors":[{"text":"Dawson, Natalie G.","contributorId":190333,"corporation":false,"usgs":false,"family":"Dawson","given":"Natalie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":731808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colella, Jocelyn P.","contributorId":190332,"corporation":false,"usgs":false,"family":"Colella","given":"Jocelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":731809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Small, Maurine P.","contributorId":203572,"corporation":false,"usgs":false,"family":"Small","given":"Maurine","email":"","middleInitial":"P.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":731810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Karen D.","contributorId":203573,"corporation":false,"usgs":false,"family":"Stone","given":"Karen","email":"","middleInitial":"D.","affiliations":[{"id":36659,"text":"Department of Biology, Southern Oregon University","active":true,"usgs":false}],"preferred":false,"id":731811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":731807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":731812,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189333,"text":"70189333 - 2017 - Geomorphology, denudation rates, and stream channel profiles reveal patterns of mountain building adjacent to the San Andreas fault in northern California, USA","interactions":[],"lastModifiedDate":"2017-07-11T13:22:49","indexId":"70189333","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphology, denudation rates, and stream channel profiles reveal patterns of mountain building adjacent to the San Andreas fault in northern California, USA","docAbstract":"Relative horizontal motion along strike-slip faults can build mountains when motion is oblique to the trend of the strike-slip boundary. The resulting contraction and uplift pose off-fault seismic hazards, which are often difficult to detect because of the poor vertical resolution of satellite geodesy and difficulty of locating offset datable landforms in active mountain ranges. Sparse geomorphic markers, topographic analyses, and measurement of denudation allow us to map spatiotemporal patterns of uplift along the northern San Andreas fault. Between Jenner and Mendocino, California, emergent marine terraces found southwest of the San Andreas fault record late Pleistocene uplift rates between 0.20 and 0.45 mm yr–1 along much of the coast. However, on the northeast side of the San Andreas fault, a zone of rapid uplift (0.6–1.0 mm yr–1) exists adjacent to the San Andreas fault, but rates decay northeastward as the coast becomes more distant from the San Andreas fault. A newly dated 4.5 Ma shallow-marine deposit located at ∼500 m above sea level (masl) adjacent to the San Andreas fault is warped down to just 150 masl 15 km northeast of the San Andreas fault, and it is exposed at just 60–110 masl to the west of the fault. Landscape denudation rates calculated from abundance of cosmogenic radionuclides in fluvial sediment northeast of, and adjacent to, the San Andreas fault are 0.16–0.29 mm yr–1, but they are only 0.03–0.07 mm yr–1 west of the fault. Basin-average channel steepness and the denudation rates can be used to infer the erosive properties of the underlying bedrock. Calibrated erosion rates can then be estimated across the entire landscape using the spatial distribution of channel steepness with these erosive properties. The lower-elevation areas of this landscape that show high channel steepness (and hence calibrated erosion rate) are distinct from higher-elevation areas with systematically lower channel steepness and denudation rates. These two areas do not appear to be coincident with lithologic contacts. Assuming that changes in rock uplift rates are manifest in channel steepness values as an upstream-propagating kinematic wave that separates high and low channel steepness values, the distance that this transition has migrated vertically provides an estimate of the timing of rock uplift rate increase. This analysis suggests that rock uplift rates along the coast changed from 0.3 to 0.75 mm yr–1 between 450 and 350 ka. This zone of recent, relatively rapid crustal deformation along the plate boundary may be a result of the impingement of relatively strong crust underlying the Gualala block into the thinner, weaker oceanic crust left at the western margin of the North American plate by the westward migration of the subduction zone prior to establishment of the current transform plate boundary. The warped Pliocene marine deposits and the presence of a topographic ridge support the patterns indicated by the channel steepness analyses, and further indicate that the zone of rapid uplift may herald elevated off-fault seismic hazard if this uplift is created by periodic stick-slip motion on contractional structures.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31551.1","usgsCitation":"DeLong, S.B., Hilley, G.E., Prentice, C.S., Crosby, C.J., and Yokelson, I.N., 2017, Geomorphology, denudation rates, and stream channel profiles reveal patterns of mountain building adjacent to the San Andreas fault in northern California, USA: GSA Bulletin, v. 129, no. 5-6, p. 732-749, https://doi.org/10.1130/B31551.1.","productDescription":"18 p.","startPage":"732","endPage":"749","ipdsId":"IP-069660","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":343577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas fault","volume":"129","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"5965b1efe4b0d1f9f05b37cc","contributors":{"authors":[{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":704204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilley, George E.","contributorId":85484,"corporation":false,"usgs":true,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":704205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":704206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crosby, Christopher J. 0000-0003-2522-4193","orcid":"https://orcid.org/0000-0003-2522-4193","contributorId":68415,"corporation":false,"usgs":true,"family":"Crosby","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yokelson, Intan N.","contributorId":194456,"corporation":false,"usgs":false,"family":"Yokelson","given":"Intan","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":704208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193423,"text":"70193423 - 2017 - Cessation of oil exposure in harlequin ducks after the Exxon Valdez oil spill: Cytochrome P4501A biomarker evidence","interactions":[],"lastModifiedDate":"2017-11-01T12:57:16","indexId":"70193423","displayToPublicDate":"2017-05-01T00:00:00","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}},"displayTitle":"Cessation of oil exposure in harlequin ducks after the Exxon Valdez oil spill: Cytochrome P4501A biomarker evidence","title":"Cessation of oil exposure in harlequin ducks after the Exxon Valdez oil spill: Cytochrome P4501A biomarker evidence","docAbstract":"The authors quantified hepatic hydrocarbon-inducible cytochrome P4501A (CYP1A) expression, as ethoxyresorufin-O-deethylase (EROD) activity, in wintering harlequin ducks (Histrionicus histrionicus) captured in Prince William Sound, Alaska (USA), during 2011, 2013, and 2014 (22–25 yr following the 1989 Exxon Valdez oil spill). Average EROD activity was compared between birds from areas oiled by the spill and those from nearby unoiled areas. The present study replicated studies conducted from 1998 to 2009 demonstrating that harlequin ducks using areas oiled in 1989 had elevated EROD activity, indicative of oil exposure, up to 2 decades post spill. In the present study, it was found that average EROD activity during March 2011 was significantly higher in wintering harlequin ducks captured in oiled areas relative to unoiled areas, which the authors interpret to indicate that harlequin ducks continued to be exposed to residual Exxon Valdez oil up to 22 yr after the original spill. However, the 2011 results also indicated reductions in exposure relative to previous years. Average EROD activity in birds from oiled areas was approximately 2 times that in birds from unoiled areas in 2011, compared with observations from 2005 to 2009, in which EROD activity was 3 to 5 times higher in oiled areas. It was also found that average EROD activity during March 2013 and March 2014 was not elevated in wintering harlequin ducks from oiled areas. The authors interpret these findings to indicate that exposure of harlequin ducks to residual Exxon Valdez oil abated within 24 yr after the original spill. The present study finalizes a timeline of exposure, extending over 2 decades, for a bird species thought to be particularly vulnerable to oil contamination in marine environments
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3659","usgsCitation":"Esler, D., Ballachey, B.E., Bowen, L., Miles, A.K., Dickson, R.D., and Henderson, J.D., 2017, Cessation of oil exposure in harlequin ducks after the Exxon Valdez oil spill: Cytochrome P4501A biomarker evidence: Environmental Toxicology and Chemistry, v. 36, no. 5, p. 1294-1300, https://doi.org/10.1002/etc.3659.","productDescription":"7 p.","startPage":"1294","endPage":"1300","ipdsId":"IP-076871","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438357,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KD1W1M","text":"USGS data release","linkHelpText":"Harlequin duck capture and EROD activity data from Prince William Sound, Alaska, 2011, 2013, 2014"},{"id":348006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","volume":"36","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"59fadd23e4b0531197b13c9f","contributors":{"authors":[{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":718988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":718990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":718991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickson, Rian D.","contributorId":138554,"corporation":false,"usgs":false,"family":"Dickson","given":"Rian","email":"","middleInitial":"D.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":718992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, John D.","contributorId":94632,"corporation":false,"usgs":false,"family":"Henderson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":718993,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192739,"text":"70192739 - 2017 - Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012","interactions":[],"lastModifiedDate":"2017-11-08T13:03:10","indexId":"70192739","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012","docAbstract":"Burn area and the frequency of extreme fire events have been increasing during recent decades in North America, and this trend is expected to continue over the 21st century. While many aspects of the North American carbon budget have been intensively studied, the net contribution of fire disturbance to the overall net carbon flux at the continental scale remains uncertain. Based on national scale, spatially explicit and long-term fire data, along with the improved model parameterization in a process-based ecosystem model, we simulated the impact of fire disturbance on both direct carbon emissions and net terrestrial ecosystem carbon balance in North America. Fire-caused direct carbon emissions were 106.55 ± 15.98 Tg C/yr during 1990–2012; however, the net ecosystem carbon balance associated with fire was −26.09 ± 5.22 Tg C/yr, indicating that most of the emitted carbon was resequestered by the terrestrial ecosystem. Direct carbon emissions showed an increase in Alaska and Canada during 1990–2012 as compared to prior periods due to more extreme fire events, resulting in a large carbon source from these two regions. Among biomes, the largest carbon source was found to be from the boreal forest, primarily due to large reductions in soil organic matter during, and with slower recovery after, fire events. The interactions between fire and environmental factors reduced the fire-caused ecosystem carbon source. Fire disturbance only caused a weak carbon source as compared to the best estimate terrestrial carbon sink in North America owing to the long-term legacy effects of historical burn area coupled with fast ecosystem recovery during 1990–2012.
","language":"English","publisher":"AGU","doi":"10.1002/2016GB005548","usgsCitation":"Chen, G., Hayes, D.J., and McGuire, A.D., 2017, Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012: Global Biogeochemical Cycles, v. 31, no. 5, p. 878-900, https://doi.org/10.1002/2016GB005548.","productDescription":"23 p.","startPage":"878","endPage":"900","ipdsId":"IP-084072","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469883,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gb005548","text":"Publisher Index Page"},{"id":348451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"31","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-27","publicationStatus":"PW","scienceBaseUri":"5a0425b9e4b0dc0b45b45388","contributors":{"authors":[{"text":"Chen, Guangsheng","contributorId":200153,"corporation":false,"usgs":false,"family":"Chen","given":"Guangsheng","email":"","affiliations":[],"preferred":false,"id":721156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716799,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187141,"text":"ofr20171029 - 2017 - Guidelines for preparation of State water-use estimates for 2015","interactions":[],"lastModifiedDate":"2017-05-02T08:59:14","indexId":"ofr20171029","displayToPublicDate":"2017-05-01T00:00:00","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":"2017-1029","title":"Guidelines for preparation of State water-use estimates for 2015","docAbstract":"The U.S. Geological Survey (USGS) has estimated the use of water in the United States at 5-year intervals since 1950. This report describes the water-use categories and data elements used for the national water-use compilation conducted as part of the USGS National Water-Use Science Project. The report identifies sources of water-use information, provides standard methods and techniques for estimating water use at the county level, and outlines steps for preparing documentation for the United States, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands.
As part of this USGS program to document water use on a national scale, estimates of water withdrawals for the categories of public supply, self-supplied domestic, industrial, irrigation, and thermoelectric power are prepared for each county in each State, District, or territory by using the guidelines in this report. County estimates of water withdrawals for aquaculture, livestock, and mining are prepared for each State by using a county-based national model, although water-use programs in each State or Water Science Center have the option of producing independent county estimates of water withdrawals for these categories. Estimates of water withdrawals and consumptive use for thermoelectric power will be aggregated to the county level for each State by the national project; additionally, irrigation consumptive use at the county level will also be provided, although study chiefs in each State have the option of producing independent county estimates of water withdrawals and consumptive use for these categories.
Estimates of deliveries of water from public supplies for domestic use by county also will be prepared for each State. As a result, total domestic water use can be determined for each State by combining self-supplied domestic withdrawals and public-supplied domestic deliveries. Fresh groundwater and surface-water estimates will be prepared for all categories of use, and saline groundwater and surface-water estimates by county will be prepared for the categories of public supply, industrial, mining, and thermoelectric power. Power production for thermoelectric power and irrigated acres by irrigation system type will be compiled. If data are available, reclaimed-wastewater use will be compiled for the public-supply, industrial, mining, thermoelectric-power, and irrigation categories.
Optional water-use categories are commercial, hydroelectric power, and wastewater treatment. Optional data elements are public-supply deliveries to commercial, industrial, and thermoelectric-power users; consumptive use (for categories other than thermoelectric power and irrigation); irrigation conveyance loss; and number of facilities. Aggregation of water-use data by stream basin (eight-digit hydrologic unit code) and principal aquifers also is optional.
Water-use data compiled by the States will be stored in the USGS Aggregate Water-Use Data System (AWUDS). This database is a comprehensive aggregated database designed to store mandatory and optional data elements. AWUDS contains several routines that can be used for quality assurance and quality control of the data, and AWUDS produces tables of water-use data from the previous compilations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171029","collaboration":"National Water-Use Science Project","usgsCitation":"Bradley, M.W., comp., 2017, Guidelines for preparation of State water-use estimates for 2015: U.S. Geological Survey Open-File Report 2017–1029, 54 p., https://doi.org/10.3133/ofr20171029.","productDescription":"viii, 54 p.","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-078880","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":340450,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1029/coverthb2.jpg"},{"id":340259,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1029/ofr20171029.pdf","text":"Report","size":"719 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1029"},{"id":340258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1029/coverthb.jpg"}],"contact":"Director, Lower Mississippi-Gulf Water Science Center—Tennessee
640 Grassmere Park
Suite 100
Nashville, TN 37211
P avement sealants are applied to the asphalt pavement of many parking lots, driveways, and even playgrounds in North America (Figure 1), where, when first applied, they render the pavement glossy black and looking like new. Sealant products used commercially in the central, eastern, and northern United States typically are coal-tarbased, whereas those used in the western United States typically are asphalt-based. Although the products look similar, they are chemically different. Coal-tarbased pavement sealants typically are 25-35 percent (by weight) coal tar or coal-tar pitch, materials that are known human carcinogens and that contain high concentrations of polycyclic aromatic hydrocarbons (PAHs) and related chemicals (unless otherwise noted, all Figure 1. Pavement sealant is commonly used to seal parking lots, playgrounds, and driveways throughout the United States. Sealants used in the central, northern, eastern, and southern United States typically contain coal tar or coal-tar pitch, both of which are known human carcinogens. Photos by the U.S. Geological Survey. data in this article are from Mahler et al. 2012 and references therein).
","language":"English","publisher":"North American Lake Management Society","usgsCitation":"Mahler, B., and Van Metre, P., 2017, Coal-tar-based pavement sealants—a potent source of PAHs: Lakeline, v. 37, no. 1, p. 13-18.","productDescription":"6 p.","startPage":"13","endPage":"18","ipdsId":"IP-082495","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":346679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346647,"type":{"id":15,"text":"Index Page"},"url":"https://www.nalms.org/lakeline-magazine/"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd331a9","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":712709,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}