{"pageNumber":"102","pageRowStart":"2525","pageSize":"25","recordCount":10450,"records":[{"id":70196280,"text":"70196280 - 2017 - Normalized difference vegetation index as an estimator for abundance and quality of avian herbivore forage in arctic Alaska","interactions":[],"lastModifiedDate":"2022-04-22T15:45:51.011946","indexId":"70196280","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Normalized difference vegetation index as an estimator for abundance and quality of avian herbivore forage in arctic Alaska","docAbstract":"<p><span>Tools that can monitor biomass and nutritional quality of forage plants are needed to understand how arctic herbivores may respond to the rapidly changing environment at high latitudes. The Normalized Difference Vegetation Index (NDVI) has been widely used to assess changes in abundance and distribution of terrestrial vegetative communities. However, the efficacy of NDVI to measure seasonal changes in biomass and nutritional quality of forage plants in the Arctic remains largely un-evaluated at landscape and fine-scale levels. We modeled the relationships between NDVI and seasonal changes in aboveground biomass and nitrogen concentration in halophytic graminoids, a key food source for arctic-nesting geese. The model was calibrated based on data collected at one site and validated using data from another site. Effects of spatial scale on model accuracy were determined by comparing model predictions between NDVI derived from moderate resolution (250 × 250 m pixels) satellite data and high resolution (20 cm diameter area) handheld spectrometer data. NDVI derived from the handheld spectrometer was a superior estimator (</span><span class=\"html-italic\">R</span><sup>2</sup><span>&nbsp;≥ 0.67) of seasonal changes in aboveground biomass compared to satellite-derived NDVI (</span><span class=\"html-italic\">R</span><sup>2</sup><span>&nbsp;≤ 0.40). The addition of temperature and precipitation variables to the model for biomass improved fit, but provided minor gains in predictive power beyond that of the NDVI-only model. This model, however, was only a moderately accurate estimator of biomass in an ecologically-similar halophytic graminoid wetland located 100 km away, indicating the necessity for site-specific validation. In contrast to assessments of biomass, satellite-derived NDVI was a better estimator for the timing of peak percent of nitrogen than NDVI derived from the handheld spectrometer. We confirmed that the date when NDVI reached 50% of its seasonal maximum was a reasonable approximation of the period of peak spring vegetative green-up and peak percent nitrogen. This study demonstrates the importance of matching the scale of NDVI measurements to the vegetation properties of biomass and nitrogen phenology.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs9121234","usgsCitation":"Hogrefe, K.R., Patil, V.P., Ruthrauff, D.R., Meixell, B.W., Budde, M.E., Hupp, J.W., and Ward, D.H., 2017, Normalized difference vegetation index as an estimator for abundance and quality of avian herbivore forage in arctic Alaska: Remote Sensing, v. 9, no. 12, 1234; 21 p., https://doi.org/10.3390/rs9121234.","productDescription":"1234; 21 p.","ipdsId":"IP-088696","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469282,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9121234","text":"Publisher Index Page"},{"id":438135,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M907KT","text":"USGS data release","linkHelpText":"Normalized Difference Vegetation Index, Biomass, and Nitrogen Content of Goose Forage, Northern Alaska, 2011-2018"},{"id":352986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150.79,\n              70.455\n            ],\n            [\n              -150.75,\n              70.455\n            ],\n            [\n              -150.75,\n              70.467\n            ],\n            [\n              -150.79,\n              70.467\n            ],\n            [\n              -150.79,\n              70.455\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-29","publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc316","contributors":{"authors":[{"text":"Hogrefe, Kyle R. khogrefe@usgs.gov","contributorId":4264,"corporation":false,"usgs":true,"family":"Hogrefe","given":"Kyle","email":"khogrefe@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":732075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","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":732076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Budde, Michael E. 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":3007,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":732078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196823,"text":"70196823 - 2017 - Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2018-05-03T13:40:46","indexId":"70196823","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes","docAbstract":"<p><span>Freshwater ecosystems provide many ecosystem services; however, they are often degraded as a result of human activity. To address ecosystem degradation in the Laurentian Great Lakes, Canada and the United States of America established the Great Lakes Water Quality Agreement (GLWQA). In 1987, 43 highly polluted and impacted areas were identified under the GLWQA as having one or more of 14 Beneficial Use Impairments (BUIs) to the physical and chemical habitat for fish, wildlife and humans, and were designated as Areas of Concern (AOC). Subnational jurisdictions combined with local stakeholders, with support from federal governments, developed plans to remediate and restore these sites. Biotelemetry (the tracking of animals using electronic tags) provides information on the spatial ecology of fish in the wild relevant to habitat management and stock assessment. Here, seven case studies are presented where biotelemetry data were directly incorporated within the AOC Remedial Action Plan (RAP) process. Specific applications include determining seasonal fish–habitat associations to inform habitat restoration plans, identifying the distribution of pollutant-indicator species to identify exposure risk to contamination sources, informing the development of fish passage facilities to enable fish to access fragmented upstream habitats, and assessing fish use of created or restored habitats. With growing capacity for fish biotelemetry research in the Great Lakes, we discuss the strengths and weaknesses of incorporating biotelemetry into AOC RAP processes to improve the science and practice of restoration and to facilitate the delisting of AOCs.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-017-0937-x","usgsCitation":"Brooks, J., Boston, C., Doka, S.E., Gorsky, D., Gustavson, K., Hondorp, D.W., Isermann, D.A., Midwood, J.D., Pratt, T., Rous, A.M., Withers, J.L., Krueger, C., and Cooke, S.J., 2017, Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes: Environmental Management, v. 60, no. 6, p. 1139-1154, https://doi.org/10.1007/s00267-017-0937-x.","productDescription":"16 p.","startPage":"1139","endPage":"1154","ipdsId":"IP-087436","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":353940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"60","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-22","publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc2fe","contributors":{"authors":[{"text":"Brooks, J.L.","contributorId":10759,"corporation":false,"usgs":true,"family":"Brooks","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":734637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boston, C.","contributorId":204672,"corporation":false,"usgs":false,"family":"Boston","given":"C.","email":"","affiliations":[],"preferred":false,"id":734638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doka, Susan E.","contributorId":173419,"corporation":false,"usgs":false,"family":"Doka","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":734640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustavson, K.","contributorId":204674,"corporation":false,"usgs":false,"family":"Gustavson","given":"K.","email":"","affiliations":[],"preferred":false,"id":734641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":734615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734614,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Midwood, Jonathan D.","contributorId":74659,"corporation":false,"usgs":true,"family":"Midwood","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pratt, T. C.","contributorId":203589,"corporation":false,"usgs":false,"family":"Pratt","given":"T. C.","affiliations":[{"id":34798,"text":"DFO Canada","active":true,"usgs":false}],"preferred":false,"id":734643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rous, Andrew M.","contributorId":203583,"corporation":false,"usgs":false,"family":"Rous","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36663,"text":"Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":734644,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Withers, J. L.","contributorId":204675,"corporation":false,"usgs":false,"family":"Withers","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734645,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krueger, C.C.","contributorId":97042,"corporation":false,"usgs":true,"family":"Krueger","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":734646,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cooke, S. J.","contributorId":55645,"corporation":false,"usgs":false,"family":"Cooke","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":734647,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70195081,"text":"70195081 - 2017 - Dynamic rupture modeling of the M7.2 2010 El Mayor-Cucapah earthquake: Comparison with a geodetic model","interactions":[],"lastModifiedDate":"2018-02-08T12:43:29","indexId":"70195081","displayToPublicDate":"2017-12-01T00:00:00","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":"Dynamic rupture modeling of the M7.2 2010 El Mayor-Cucapah earthquake: Comparison with a geodetic model","docAbstract":"<p><span>The 2010&nbsp;</span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>7.2 El Mayor-Cucapah earthquake is the largest event recorded in the broader Southern California-Baja California region in the last 18&nbsp;years. Here we try to analyze primary features of this type of event by using dynamic rupture simulations based on a multifault interface and later compare our results with space geodetic models. Our results show that starting from homogeneous prestress conditions, slip heterogeneity can be achieved as a result of variable dip angle along strike and the modulation imposed by step over segments. We also considered effects from a topographic free surface and find that although this does not produce significant first-order effects for this earthquake, even a low topographic dome such as the Cucapah range can affect the rupture front pattern and fault slip rate. Finally, we inverted available interferometric synthetic aperture radar data, using the same geometry as the dynamic rupture model, and retrieved the space geodetic slip distribution that serves to constrain the dynamic rupture models. The one to one comparison of the final fault slip pattern generated with dynamic rupture models and the space geodetic inversion show good agreement. Our results lead us to the following conclusion: in a possible multifault rupture scenario, and if we have first-order geometry constraints, dynamic rupture models can be very efficient in predicting large-scale slip heterogeneities that are important for the correct assessment of seismic hazard and the magnitude of future events. Our work contributes to understanding the complex nature of multifault systems.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014294","usgsCitation":"Kyriakopoulos, C., Oglesby, D.D., Funning, G.J., and Ryan, K., 2017, Dynamic rupture modeling of the M7.2 2010 El Mayor-Cucapah earthquake: Comparison with a geodetic model: Journal of Geophysical Research B: Solid Earth, v. 122, no. 12, p. 10263-10279, https://doi.org/10.1002/2017JB014294.","productDescription":"17 p.","startPage":"10263","endPage":"10279","ipdsId":"IP-085833","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jb014294","text":"Publisher Index Page"},{"id":351348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.5,\n              33\n            ],\n            [\n              -114.5,\n              33\n            ],\n            [\n              -114.5,\n              31.5\n            ],\n            [\n              -116.5,\n              31.5\n            ],\n            [\n              -116.5,\n              33\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-19","publicationStatus":"PW","scienceBaseUri":"5a7d7000e4b00f54eb2441db","contributors":{"authors":[{"text":"Kyriakopoulos, Christos","contributorId":201722,"corporation":false,"usgs":false,"family":"Kyriakopoulos","given":"Christos","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":726852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oglesby, David D.","contributorId":201723,"corporation":false,"usgs":false,"family":"Oglesby","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":726853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funning, Gareth J. 0000-0002-8247-0545","orcid":"https://orcid.org/0000-0002-8247-0545","contributorId":172418,"corporation":false,"usgs":false,"family":"Funning","given":"Gareth","email":"","middleInitial":"J.","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":726854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Kenneth 0000-0003-3933-3163 kryan@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-3163","contributorId":191921,"corporation":false,"usgs":true,"family":"Ryan","given":"Kenneth","email":"kryan@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196469,"text":"70196469 - 2017 - LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes","interactions":[],"lastModifiedDate":"2018-04-10T10:56:16","indexId":"70196469","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5091,"text":"GigaScience","active":true,"publicationSubtype":{"id":10}},"title":"LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes","docAbstract":"<p>Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states.</p><p>LAGOS-NE contains data for 51 101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 data modules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situ measurements of lake water quality for a subset of the lakes from the past 3 decades for approximately 2600–12 000 lakes depending on the variable. The database contains approximately 150 000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from 87 lake water quality data sets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest and most comprehensive databases of its type because it includes both in situ measurements and ecological context data. Because ecological context can be used to study a variety of other questions about lakes, streams, and wetlands, this database can also be used as the foundation for other studies of freshwaters at broad spatial and ecological scales.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gigascience/gix101","usgsCitation":"Soranno, P.A., Bacon, L.C., Beauchene, M., Bednar, K.E., Bissell, E.G., Boudreau, C.K., Boyer, M.G., Bremigan, M.T., Carpenter, S.R., Carr, J.W., Cheruvelil, K.S., Christel, S.T., Claucherty, M., Collins, S.M., Conroy, J.D., Downing, J.A., Dukett, J., Fergus, C.E., Filstrup, C.T., Funk, C., Gonzalez, M.J., Green, L.T., Gries, C., Halfman, J.D., Hamilton, S.K., Hanson, P.C., Henry, E.N., Herron, E.M., Hockings, C., Jackson, J.R., Jacobson-Hedin, K., Janus, L.L., Jones, W.W., Jones, J., Keson, C.M., King, K.B., Kishbaugh, S.A., Lapierre, J., Lathrop, B., Latimore, J.A., Lee, Y., Lottig, N.R., Lynch, J.A., Matthews, L.J., McDowell, W.H., Moore, K.E., Neff, B., Nelson, S.J., Oliver, S., Pace, M.L., Pierson, D.C., Poisson, A.C., Pollard, A.I., Post, D.M., Reyes, P.O., Rosenberry, D., Roy, K.M., Rudstam, L.G., Sarnelle, O., Schuldt, N.J., Scott, C.E., Skaff, N.K., Smith, N.J., Spinelli, N.R., Stachelek, J.J., Stanley, E.H., Stoddard, J.L., Stopyak, S.B., Stow, C.A., Tallant, J.M., Tan, P., Thorpe, A.P., Vanni, M.J., Wagner, T., Watkins, G., Weathers, K.C., Webster, K.E., White, J., Wilmes, M.K., and Yuan, S., 2017, LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes: GigaScience, v. 6, no. 12, p. 1-22, https://doi.org/10.1093/gigascience/gix101.","productDescription":"22 p.","startPage":"1","endPage":"22","ipdsId":"IP-088165","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70194511,"text":"70194511 - 2017 - Attaching transmitters to waterbirds using one versus two subcutaneous anchors: Retention and survival trade-offs","interactions":[],"lastModifiedDate":"2018-01-05T13:54:16","indexId":"70194511","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Attaching transmitters to waterbirds using one versus two subcutaneous anchors: Retention and survival trade-offs","docAbstract":"<p><span>A major challenge of wildlife telemetry is choosing an attachment technique that maximizes transmitter retention while minimizing negative side effects. For waterbirds, attachment of transmitters with subcutaneous anchors has been an effective and well-established technique, having been used on &gt;40 species. This method was recently modified to include a second subcutaneous anchor, presumably increasing transmitter retention beyond that of single-anchor attachments. This putative benefit may be offset, however, by increased health risks related to additional incisions and subcutaneous protrusions. To test this potential trade-off, we attached radiotransmitters to molting and wintering surf (</span><i>Melanitta perspicillata</i><span>) and white-winged scoters (</span><i>M. fusca</i><span>) during 2008 and 2009 in Washington State and southeast Alaska, USA, using single- (121 scoters) and double-anchor (128 scoters) attachment techniques. We estimated daily probabilities of survival and radio retention for each group, this being apparent retention for wintering scoters because we could not differentiate shed transmitters from flighted emigration. For scoters during the flightless remigial molt, we found that addition of a second anchor increased cumulative retention probability (±SE) over a 49-day period from 0.69 ± 0.11 for single-anchor to 0.88 ± 0.07 for double-anchor attachments, while having no effect on survival. However, during winter, scoters with double-anchor attachments experienced no improvement in apparent retention, while having significantly lower survival during their first 14 days following transmitter attachment; of 15 mortalities during this period, 11 had 2 subcutaneous anchors. From day 15 onward, winter survival rates were nearly identical for single- versus double-anchor attachments, indicating that adverse effects of subcutaneous anchors were mainly limited to the 14-day postattachment period. Overall, given that the survival cost of adding a second subcutaneous anchor was substantial for wintering scoters—decreasing 14-day survival by 12% for adults and 23% for juveniles—we recommend that researchers opt for single-anchor attachments under most circumstances, especially during winter when birds may be energetically challenged.<span>&nbsp;</span></span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.833","usgsCitation":"Lewis, T., Esler, D., Uher-Koch, B.D., Dickson, R.D., Anderson, E.M., Evenson, J.R., Hupp, J.W., and Flint, P.L., 2017, Attaching transmitters to waterbirds using one versus two subcutaneous anchors: Retention and survival trade-offs: Wildlife Society Bulletin, v. 41, no. 4, p. 691-700, https://doi.org/10.1002/wsb.833.","productDescription":"10 p.","startPage":"691","endPage":"700","ipdsId":"IP-084591","costCenters":[{"id":116,"text":"Alaska Science Center Biology 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,{"id":70195140,"text":"70195140 - 2017 - Quake warnings, seismic culture","interactions":[],"lastModifiedDate":"2018-02-07T15:09:49","indexId":"70195140","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Quake warnings, seismic culture","docAbstract":"<p><span>Since 1990, nearly one million people have died from the impacts of earthquakes. Reducing those impacts requires building a local seismic culture in which residents are aware of earthquake risks and value efforts to mitigate harm. Such efforts include earthquake early warning (EEW) systems that provide seconds to minutes notice of pending shaking. Recent events in Mexico provide an opportunity to assess performance and perception of an EEW system and highlight areas for further improvement. We have learned that EEW systems, even imperfect ones, can help people prepare for earthquakes and build local seismic culture, both beneficial in reducing earthquake-related losses.</span></p>","language":"English","publisher":"American Association for the Advancement of Science (AAAS)","doi":"10.1126/science.aar4640","usgsCitation":"Allen, R.M., Cochran, E.S., Huggins, T., Miles, S., and Otegui, D., 2017, Quake warnings, seismic culture: Science, v. 358, no. 6367, p. 1111-1111, https://doi.org/10.1126/science.aar4640.","productDescription":"1 p.","startPage":"1111","endPage":"1111","ipdsId":"IP-091994","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":351290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"358","issue":"6367","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e78e4b00f54eb22931d","contributors":{"authors":[{"text":"Allen, Richard M.","contributorId":139575,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":727119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":727118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huggins, Tom","contributorId":201866,"corporation":false,"usgs":false,"family":"Huggins","given":"Tom","email":"","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":727120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, Scott","contributorId":201867,"corporation":false,"usgs":false,"family":"Miles","given":"Scott","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":727121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otegui, Diego","contributorId":201868,"corporation":false,"usgs":false,"family":"Otegui","given":"Diego","email":"","affiliations":[{"id":36275,"text":"UD","active":true,"usgs":false}],"preferred":false,"id":727122,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195142,"text":"70195142 - 2017 - Earthquake Early Warning ShakeAlert System: Testing and certification platform","interactions":[],"lastModifiedDate":"2018-02-08T13:34:56","indexId":"70195142","displayToPublicDate":"2017-12-01T00:00:00","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":"Earthquake Early Warning ShakeAlert System: Testing and certification platform","docAbstract":"<p><span>Earthquake early warning systems provide warnings to end users of incoming moderate to strong ground shaking from earthquakes. An earthquake early warning system, ShakeAlert, is providing alerts to beta end users in the western United States, specifically California, Oregon, and Washington. An essential aspect of the earthquake early warning system is the development of a framework to test modifications to code to ensure functionality and assess performance. In 2016, a Testing and Certification Platform (TCP) was included in the development of the Production Prototype version of ShakeAlert. The purpose of the TCP is to evaluate the robustness of candidate code that is proposed for deployment on ShakeAlert Production Prototype servers. TCP consists of two main components: a real‐time&nbsp;</span><i>in situ</i><span><span>&nbsp;</span>test that replicates the real‐time production system and an offline playback system to replay test suites. The real‐time tests of system performance assess code optimization and stability. The offline tests comprise a stress test of candidate code to assess if the code is production ready. The test suite includes over 120 events including local, regional, and teleseismic historic earthquakes, recentering and calibration events, and other anomalous and potentially problematic signals. Two assessments of alert performance are conducted. First, point‐source assessments are undertaken to compare magnitude, epicentral location, and origin time with the Advanced National Seismic System Comprehensive Catalog, as well as to evaluate alert latency. Second, we describe assessment of the quality of ground‐motion predictions at end‐user sites by comparing predicted shaking intensities to ShakeMaps for historic events and implement a threshold‐based approach that assesses how often end users initiate the appropriate action, based on their ground‐shaking threshold. TCP has been developed to be a convenient streamlined procedure for objectively testing algorithms, and it has been designed with flexibility to accommodate significant changes in development of new or modified system code. It is expected that the TCP will continue to evolve along with the ShakeAlert system, and the framework we describe here provides one example of how earthquake early warning systems can be evaluated.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170138","usgsCitation":"Cochran, E.S., Kohler, M.D., Given, D.D., Guiwits, S., Andrews, J., Meier, M., Ahmad, M., Henson, I., Hartog, J.R., and Smith, D., 2017, Earthquake Early Warning ShakeAlert System: Testing and certification platform: Seismological Research Letters, v. 89, no. 1, p. 108-117, https://doi.org/10.1785/0220170138.","productDescription":"10 p.","startPage":"108","endPage":"117","ipdsId":"IP-087135","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469263,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20171208-083947727","text":"External 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doug@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-5121","contributorId":201870,"corporation":false,"usgs":true,"family":"Given","given":"Douglas","email":"doug@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":727139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guiwits, Stephen 0000-0002-6481-6231","orcid":"https://orcid.org/0000-0002-6481-6231","contributorId":201879,"corporation":false,"usgs":true,"family":"Guiwits","given":"Stephen","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":727145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Jennifer","contributorId":187764,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","affiliations":[],"preferred":false,"id":727140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meier, Men-Andrin","contributorId":201882,"corporation":false,"usgs":false,"family":"Meier","given":"Men-Andrin","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":727141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ahmad, Mohammad","contributorId":201883,"corporation":false,"usgs":false,"family":"Ahmad","given":"Mohammad","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":727142,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Henson, Ivan","contributorId":201884,"corporation":false,"usgs":false,"family":"Henson","given":"Ivan","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":727143,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hartog, J. Renate","contributorId":171724,"corporation":false,"usgs":false,"family":"Hartog","given":"J.","email":"","middleInitial":"Renate","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":727144,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Deborah 0000-0002-8317-7762","orcid":"https://orcid.org/0000-0002-8317-7762","contributorId":201885,"corporation":false,"usgs":true,"family":"Smith","given":"Deborah","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":727146,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70195149,"text":"70195149 - 2017 - Overview of avian toxicity studies for the Deepwater Horizon Natural Resource Damage Assessment","interactions":[],"lastModifiedDate":"2018-04-02T12:53:28","indexId":"70195149","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Overview of avian toxicity studies for the Deepwater Horizon Natural Resource Damage Assessment","docAbstract":"<p><span>The Oil Pollution Act of 1990 establishes liability for injuries to natural resources because of the release or threat of release of oil. Assessment of injury to natural resources resulting from an oil spill and development and implementation of a plan for the restoration, rehabilitation, replacement or acquisition of natural resources to compensate for those injuries is accomplished through the Natural Resource Damage Assessment (NRDA) process. The NRDA process began within a week of the Deepwater Horizon oil spill, which occurred on April 20, 2010. During the spill, more than 8500 dead and impaired birds representing at least 93 avian species were collected. In addition, there were more than 3500 birds observed to be visibly oiled. While information in the literature at the time helped to identify some of the effects of oil on birds, it was not sufficient to fully characterize the nature and extent of the injuries to the thousands of live oiled birds, or to quantify those injuries in terms of effects on bird viability. As a result, the US Fish and Wildlife Service proposed various assessment activities to inform NRDA injury determination and quantification analyses associated with the Deepwater Horizon oil spill, including avian toxicity studies. The goal of these studies was to evaluate the effects of oral exposure to 1–20</span><span>&nbsp;</span><span>ml of artificially weathered Mississippi Canyon 252 oil kg bw</span><sup>-1</sup><span><span>&nbsp;</span>day</span><sup>-1</sup><span><span>&nbsp;</span>from one to 28 days or one to five applications of oil to 20% of the bird's surface area. It was thought that these exposure levels would not result in immediate or short-term mortality but might result in physiological effects that ultimately could affect avian survival, reproduction and health. These studies included oral dosing studies, an external dosing study, metabolic and flight performance studies and field-based flight studies. Results of these studies indicated changes in hematologic endpoints including formation of Heinz bodies and changes in cell counts. There were also effects on multiple organ systems, cardiac function and oxidative status. External oiling affected flight patterns and time spent during flight tasks indicating that migration may be affected by short-term repeated exposure to oil. Feather damage also resulted in increased heat loss and energetic demands. The papers in this special issue indicate that the combined effects of oil toxicity and feather effects in avian species, even in the case of relatively light oiling, can significantly affect the overall health of birds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2017.05.014","usgsCitation":"Bursian, S.J., Alexander, C.R., Cacela, D., Cunningham, F.L., Dean, K.M., Dorr, B.S., Ellis, C.K., Godard-Codding, C.A., Guglielmo, C.G., Hanson-Dorr, K.C., Harr, K.E., Healy, K.A., Hooper, M.J., Horak, K.E., Isanhart, J.P., Kennedy, L.V., Link, J.E., Maggini, I., Moye, J.K., Perez, C.R., Pritsos, C.A., Shriner, S.A., Trust, K.A., and Tuttle, P.L., 2017, Overview of avian toxicity studies for the Deepwater Horizon Natural Resource Damage Assessment: Ecotoxicology and Environmental Safety, v. 146, p. 4-10, https://doi.org/10.1016/j.ecoenv.2017.05.014.","productDescription":"7 p.","startPage":"4","endPage":"10","ipdsId":"IP-078708","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":351360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6fffe4b00f54eb2441cc","contributors":{"authors":[{"text":"Bursian, Steven J.","contributorId":170027,"corporation":false,"usgs":false,"family":"Bursian","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":727164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, C. R.","contributorId":88855,"corporation":false,"usgs":false,"family":"Alexander","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cacela, Dave","contributorId":193135,"corporation":false,"usgs":false,"family":"Cacela","given":"Dave","email":"","affiliations":[{"id":36281,"text":"Abt Associates, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":727871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cunningham, Fred L.","contributorId":176522,"corporation":false,"usgs":false,"family":"Cunningham","given":"Fred","email":"","middleInitial":"L.","affiliations":[{"id":36282,"text":"USDA National Wildlife Research Center (NWRC) Mississippi Field Station, Starkville, MS","active":true,"usgs":false}],"preferred":false,"id":727166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dean, Karen M.","contributorId":201896,"corporation":false,"usgs":false,"family":"Dean","given":"Karen","email":"","middleInitial":"M.","affiliations":[{"id":36281,"text":"Abt Associates, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":727167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dorr, Brian S.","contributorId":138540,"corporation":false,"usgs":false,"family":"Dorr","given":"Brian","email":"","middleInitial":"S.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":727168,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ellis, Christine K.","contributorId":201898,"corporation":false,"usgs":false,"family":"Ellis","given":"Christine","email":"","middleInitial":"K.","affiliations":[{"id":36283,"text":"USDA NWRC, Denver, CO","active":true,"usgs":false}],"preferred":false,"id":727169,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godard-Codding, Celine A.J.","contributorId":202105,"corporation":false,"usgs":false,"family":"Godard-Codding","given":"Celine","email":"","middleInitial":"A.J.","affiliations":[{"id":36344,"text":"The Institute of Environmental and Human Health, Texas Tech University, Lubbock, TX","active":true,"usgs":false}],"preferred":false,"id":727872,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guglielmo, Christopher G.","contributorId":201899,"corporation":false,"usgs":false,"family":"Guglielmo","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":36284,"text":"Western Ontario University, London, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":727170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hanson-Dorr, Katie 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P.","contributorId":201904,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":36287,"text":"USDOI Office of Restoration and Damage Assessment, Denver, CO","active":true,"usgs":false}],"preferred":false,"id":727175,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kennedy, Lisa V.","contributorId":201905,"corporation":false,"usgs":false,"family":"Kennedy","given":"Lisa","email":"","middleInitial":"V.","affiliations":[{"id":36284,"text":"Western Ontario University, London, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":727176,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Link, Jane E.","contributorId":201906,"corporation":false,"usgs":false,"family":"Link","given":"Jane","email":"","middleInitial":"E.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":727177,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Maggini, Ivan","contributorId":201907,"corporation":false,"usgs":false,"family":"Maggini","given":"Ivan","email":"","affiliations":[{"id":36284,"text":"Western Ontario University, London, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":727178,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Moye, John K.","contributorId":201908,"corporation":false,"usgs":false,"family":"Moye","given":"John","email":"","middleInitial":"K.","affiliations":[{"id":36288,"text":"University of Nevada, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":727179,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Perez, Christina R.","contributorId":197750,"corporation":false,"usgs":false,"family":"Perez","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727180,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Pritsos, Chris A.","contributorId":201909,"corporation":false,"usgs":false,"family":"Pritsos","given":"Chris","email":"","middleInitial":"A.","affiliations":[{"id":36288,"text":"University of Nevada, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":727181,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Shriner, Susan A.","contributorId":168690,"corporation":false,"usgs":false,"family":"Shriner","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":13407,"text":"Colorado State Univ.","active":true,"usgs":false}],"preferred":false,"id":727182,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Trust, Kinberly A.","contributorId":201910,"corporation":false,"usgs":false,"family":"Trust","given":"Kinberly","email":"","middleInitial":"A.","affiliations":[{"id":36289,"text":"USFWS National Wildlife Refuge System Pacific Region, Portland OR","active":true,"usgs":false}],"preferred":false,"id":727183,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Tuttle, Peter L.","contributorId":201911,"corporation":false,"usgs":false,"family":"Tuttle","given":"Peter","email":"","middleInitial":"L.","affiliations":[{"id":36286,"text":"USFWS DWH NRDAR Field Office, Fairhope, AL","active":true,"usgs":false}],"preferred":false,"id":727184,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70197530,"text":"70197530 - 2017 - Ad hoc instrumentation methods in ecological studies produce highly biased temperature measurements","interactions":[],"lastModifiedDate":"2018-06-11T11:15:09","indexId":"70197530","displayToPublicDate":"2017-12-01T00:00:00","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":"Ad hoc instrumentation methods in ecological studies produce highly biased temperature measurements","docAbstract":"<p><span>In light of global climate change, ecological studies increasingly address effects of temperature on organisms and ecosystems. To measure air temperature at biologically relevant scales in the field, ecologists often use small, portable temperature sensors. Sensors must be shielded from solar radiation to provide accurate temperature measurements, but our review of 18&nbsp;years of ecological literature indicates that shielding practices vary across studies (when reported at all), and that ecologists often invent and construct ad hoc radiation shields without testing their efficacy. We performed two field experiments to examine the accuracy of temperature observations from three commonly used portable data loggers (HOBO Pro, HOBO Pendant, and iButton hygrochron) housed in manufactured Gill shields or ad hoc, custom‐fabricated shields constructed from everyday materials such as plastic cups. We installed this sensor array (five replicates of 11 sensor‐shield combinations) at weather stations located in open and forested sites. HOBO Pro sensors with Gill shields were the most accurate devices, with a mean absolute error of 0.2°C relative to weather stations at each site. Error in ad hoc shield treatments ranged from 0.8 to 3.0°C, with the largest errors at the open site. We then deployed one replicate of each sensor‐shield combination at five sites that varied in the amount of urban impervious surface cover, which presents a further shielding challenge. Bias in sensors paired with ad hoc shields increased by up to 0.7°C for every 10% increase in impervious surface. Our results indicate that, due to variable shielding practices, the ecological literature likely includes highly biased temperature data that cannot be compared directly across studies. If left unaddressed, these errors will hinder efforts to predict biological responses to climate change. We call for greater standardization in how temperature data are recorded in the field, handled in analyses, and reported in publications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3499","usgsCitation":"Terando, A.J., Youngsteadt, E., Meineke, E.K., and Prado, S.G., 2017, Ad hoc instrumentation methods in ecological studies produce highly biased temperature measurements: Ecology and Evolution, v. 7, no. 23, p. 9890-9904, https://doi.org/10.1002/ece3.3499.","productDescription":"15 p.","startPage":"9890","endPage":"9904","ipdsId":"IP-086574","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":469268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3499","text":"Publisher Index Page"},{"id":354883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"23","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"5b46e624e4b060350a15d25b","contributors":{"authors":[{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":737565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Youngsteadt, Elsa","contributorId":205500,"corporation":false,"usgs":false,"family":"Youngsteadt","given":"Elsa","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":737566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meineke, Emily K.","contributorId":205501,"corporation":false,"usgs":false,"family":"Meineke","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":37111,"text":"Harvard University Herbaria","active":true,"usgs":false}],"preferred":false,"id":737567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prado, Sara G.","contributorId":204504,"corporation":false,"usgs":false,"family":"Prado","given":"Sara","email":"","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":737568,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196741,"text":"70196741 - 2017 - Sampling bees in tropical forests and agroecosystems: A review","interactions":[],"lastModifiedDate":"2018-04-30T10:18:21","indexId":"70196741","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2356,"text":"Journal of Insect Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Sampling bees in tropical forests and agroecosystems: A review","docAbstract":"<p><span>Bees are the predominant pollinating taxa, providing a critical ecosystem service upon which many angiosperms rely for successful reproduction. Available data suggests that bee populations worldwide are declining, but scarce data in tropical regions precludes assessing their status and distribution, impact on ecological services, and response to management actions. Herein, we reviewed &gt;150 papers that used six common sampling methods (pan traps, baits, Malaise traps, sweep nets, timed observations and aspirators) to better understand their strengths and weaknesses, and help guide method selection to meet research objectives and development of multi-species monitoring approaches. Several studies evaluated the effectiveness of sweep nets, pan traps, and malaise traps, but only one evaluated timed observations, and none evaluated aspirators. Only five studies compared two or more of the remaining four sampling methods to each other. There was little consensus regarding which method would be most reliable for sampling multiple species. However, we recommend that if the objective of the study is to estimate abundance or species richness, malaise traps, pan traps and sweep nets are the most effective sampling protocols in open tropical systems; conversely, malaise traps, nets and baits may be the most effective in forests. Declining bee populations emphasize the critical need in method standardization and reporting precision. Moreover, we recommend reporting a catchability coefficient, a measure of the interaction between the resource (bee) abundance and catching effort. Melittologists could also consider existing methods, such as occupancy models, to quantify changes in distribution and abundance after modeling heterogeneity in trapping probability, and consider the possibility of developing monitoring frameworks that draw from multiple sources of data.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10841-017-0018-8","usgsCitation":"Prado, S.G., Ngo, H.T., Florez, J.A., and Collazo, J., 2017, Sampling bees in tropical forests and agroecosystems: A review: Journal of Insect Conservation, v. 21, no. 5-6, p. 753-770, https://doi.org/10.1007/s10841-017-0018-8.","productDescription":"18 p.","startPage":"753","endPage":"770","ipdsId":"IP-082870","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469286,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10841-017-0018-8","text":"Publisher Index Page"},{"id":353848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"5-6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-22","publicationStatus":"PW","scienceBaseUri":"5afee79de4b0da30c1bfc30c","contributors":{"authors":[{"text":"Prado, Sara G.","contributorId":204504,"corporation":false,"usgs":false,"family":"Prado","given":"Sara","email":"","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":734202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ngo, Hien T.","contributorId":204505,"corporation":false,"usgs":false,"family":"Ngo","given":"Hien","email":"","middleInitial":"T.","affiliations":[{"id":36950,"text":"United Nations, Bonn","active":true,"usgs":false}],"preferred":false,"id":734203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Florez, Jaime A.","contributorId":204506,"corporation":false,"usgs":false,"family":"Florez","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":734204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":734201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196101,"text":"70196101 - 2017 - Birds choose long-term partners years before breeding","interactions":[],"lastModifiedDate":"2018-03-20T09:06:01","indexId":"70196101","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":770,"text":"Animal Behaviour","active":true,"publicationSubtype":{"id":10}},"title":"Birds choose long-term partners years before breeding","docAbstract":"<p>Pair bonds can provide social benefits to long-term monogamous species alongside their benefits for reproduction. However, little is known about when these bonds form, in particular how long they are present before breeding. Previous studies of pair formation in long-term monogamous birds have been rather data-limited, but for many migratory birds they report pair formation on the wintering grounds. We provide the first systematic investigation of prebreeding association patterns of long-term monogamous pairs by examining entire life histories based on tracking data of migratory whooping cranes, Grus americana. We found that a substantial portion (62%) of breeding pairs started associating at least 12 months before first breeding, with 16 of 58 breeding pairs beginning to associate over 2 years before first breeding. For most pairs, these associations with future breeding partners also became unique and distinguishable from association patterns with nonpartner individuals 12 months before first breeding. In addition, 60% of pair associations began before at least one partner had reached nominal sexual maturity. Most pairs began associating in the late spring upon arrival at the summer grounds, while associations beginning at other times of the year were rare. Patterns in the associations of pairs prior to breeding can point to the potential benefits of prebreeding relationships, for instance providing support in competitive interactions or increasing partner familiarity.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.anbehav.2017.10.015","usgsCitation":"Teitelbaum, C., Converse, S.J., and Mueller, T., 2017, Birds choose long-term partners years before breeding: Animal Behaviour, v. 134, p. 147-154, https://doi.org/10.1016/j.anbehav.2017.10.015.","productDescription":"8 p.","startPage":"147","endPage":"154","ipdsId":"IP-085772","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":352649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc331","contributors":{"authors":[{"text":"Teitelbaum, Claire S.","contributorId":174360,"corporation":false,"usgs":false,"family":"Teitelbaum","given":"Claire S.","affiliations":[{"id":27439,"text":"Senckenberg Biodiversity and Climate Research Centre","active":true,"usgs":false}],"preferred":false,"id":731382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":731349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Thomas","contributorId":91393,"corporation":false,"usgs":true,"family":"Mueller","given":"Thomas","affiliations":[],"preferred":false,"id":731383,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194520,"text":"70194520 - 2017 - Miocene−Pleistocene deformation of the Saddle Mountains: Implications for seismic hazard in central Washington, USA","interactions":[],"lastModifiedDate":"2018-03-05T15:39:49","indexId":"70194520","displayToPublicDate":"2017-12-01T00:00:00","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":"Miocene−Pleistocene deformation of the Saddle Mountains: Implications for seismic hazard in central Washington, USA","docAbstract":"<p>The Yakima fold province, located in the backarc of the Cascadia subduction zone, is a region of active strain accumulation and deformation distributed across a series of fault-cored folds. The geodetic network in central Washington has been used to interpret large-scale N-S shortening and westward-increasing strain; however, geodetic data are unable to resolve shortening rates across individual structures in this low-strain-rate environment. Resolving fault geometries, slip rates, and timing of faulting in the Yakima fold province is critically important to seismic hazard assessment for nearby infrastructure and population centers.</p><p>The Saddle Mountains anticline is one of the most prominent Yakima folds. It is unique within the Yakima fold province in that the syntectonic strata of the Ringold Formation are preserved and provide a record of deformation and drainage reorganization. Here, we present new stratigraphic columns, U-Pb zircon tephra ages, U-series caliche ages, and geophysical modeling that constrain two line-balanced and retrodeformed cross sections. These new constraints indicate that the Saddle Mountains anticline has accommodated 1.0−1.3 km of N-S shortening since 10 Ma, that shortening increases westward along the anticline, and that the average slip rate has increased 6-fold since 6.8 Ma. Provenance analysis suggests that the source terrane for the Ringold Formation was similar to that of the modern Snake River Plain. Using new slip rates and structural constraints, we calculate the strain accumulation time, interpretable as a recurrence interval, for earthquakes on the Saddle Mountains fault and find that large-magnitude earthquakes could rupture along the Saddle Mountains fault every 2−11 k.y.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31783.1","usgsCitation":"Staisch, L.M., Kelsey, H., Sherrod, B.L., Moller, A., Paces, J.B., Blakely, R.J., and Styron, R., 2017, Miocene−Pleistocene deformation of the Saddle Mountains: Implications for seismic hazard in central Washington, USA: GSA Bulletin, v. 130, no. 3-4, p. 411-437, https://doi.org/10.1130/B31783.1.","productDescription":"27 p.","startPage":"411","endPage":"437","ipdsId":"IP-084555","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120,\n              46.5\n            ],\n            [\n              -119,\n              46.5\n            ],\n            [\n              -119,\n              47\n            ],\n            [\n              -120,\n              47\n            ],\n            [\n              -120,\n              46.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"130","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-10","publicationStatus":"PW","scienceBaseUri":"5a60faf7e4b06e28e9c22a29","contributors":{"authors":[{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":724269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, Harvey","contributorId":106978,"corporation":false,"usgs":true,"family":"Kelsey","given":"Harvey","affiliations":[],"preferred":false,"id":724270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":724271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moller, Andreas","contributorId":201081,"corporation":false,"usgs":false,"family":"Moller","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":724272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":724273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Styron, Richard","contributorId":201082,"corporation":false,"usgs":false,"family":"Styron","given":"Richard","email":"","affiliations":[],"preferred":false,"id":724275,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194439,"text":"70194439 - 2017 - Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States","interactions":[],"lastModifiedDate":"2017-11-28T11:46:05","indexId":"70194439","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States","docAbstract":"Drinking water treatment plants rely on purification of contaminated source waters to provide communities with potable water. One group of possible contaminants are enteric viruses. Measurement of viral quantities in environmental water systems are often performed using polymerase chain reaction (PCR) or quantitative PCR (qPCR). However, true values may be underestimated due to challenges involved in a multi-step viral concentration process and due to PCR inhibition. In this study, water samples were concentrated from 25 drinking water treatment plants (DWTPs) across the US to study the occurrence of enteric viruses in source water and removal after treatment. The five different types of viruses studied were adenovirus, norovirus GI, norovirus GII, enterovirus, and polyomavirus. Quantitative PCR was performed on all samples to determine presence or absence of these viruses in each sample. Ten DWTPs showed presence of one or more viruses in source water, with four DWTPs having treated drinking water testing positive. Furthermore, PCR inhibition was assessed for each sample using an exogenous amplification control, which indicated that all of the DWTP samples, including source and treated water samples, had some level of inhibition, confirming that inhibition plays an important role in PCR based assessments of environmental samples. PCR inhibition measurements, viral recovery, and other assessments were\nincorporated into a Bayesian model to more accurately determine viral load in both source and treated water. Results of the Bayesian model indicated that viruses are present in source water and treated water. By using a Bayesian framework that incorporates inhibition, as well as many other parameters that affect viral detection, this study offers an approach for more accurately estimating the occurrence of viral pathogens in environmental waters.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.10.267","usgsCitation":"Varughese, E.A., Brinkman, N., Anneken, E.M., Cashdollar, J.S., Fout, G., Furlong, E.T., Kolpin, D.W., Glassmeyer, S.T., and Keely, S.P., 2017, Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States: Science of the Total Environment, v. 619-620, p. 1330-1339, https://doi.org/10.1016/j.scitotenv.2017.10.267.","productDescription":"10 p.","startPage":"1330","endPage":"1339","ipdsId":"IP-089619","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":469298,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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,{"id":70192099,"text":"sir20175126 - 2017 - Macroinvertebrate communities evaluated prior to and following a channel restoration project in Silver Creek, Blaine County, Idaho, 2001-16","interactions":[],"lastModifiedDate":"2017-11-28T12:27:48","indexId":"sir20175126","displayToPublicDate":"2017-11-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5126","title":"Macroinvertebrate communities evaluated prior to and following a channel restoration project in Silver Creek, Blaine County, Idaho, 2001-16","docAbstract":"<p class=\"p1\">The U.S. Geological Survey, in cooperation with Blaine County and The Nature Conservancy, evaluated the status of macroinvertebrate communities prior to and following a channel restoration project in Silver Creek, Blaine County, Idaho. The objective of the evaluation was to determine whether 2014 remediation efforts to restore natural channel conditions in an impounded area of Silver Creek caused declines in local macroinvertebrate communities. Starting in 2001 and ending in 2016, macroinvertebrates were sampled every 3 years at two long-term trend sites and sampled seasonally (spring, summer, and autumn) in 2013, 2015, and 2016 at seven synoptic sites. Trend-site communities were collected from natural stream-bottom substrates to represent locally established macroinvertebrate assemblages. Synoptic site communities were sampled using artificial (multi-plate) substrates to represent recently colonized (4–6 weeks) assemblages. Statistical summaries of spatial and temporal patterns in macroinvertebrate taxonomic composition at both trend and synoptic sites were completed.</p><p class=\"p1\">The potential effect of the restoration project on resident macroinvertebrate populations was determined by comparing the following community assemblage metrics:</p><ol class=\"ol1\"><li class=\"li2\">Total taxonomic richness (taxa richness);</li><li class=\"li2\">Total macroinvertebrate abundance (total abundance);</li><li class=\"li2\">Ephemeroptera, Plecoptera, Trichoptera (EPT) richness;</li><li class=\"li2\">EPT abundance;</li><li class=\"li2\">Simpson’s diversity; and</li><li class=\"li3\">Simpson’s evenness for periods prior to and following restoration.</li></ol><p class=\"p5\">A significant decrease in one or more metric values in the period following stream channel restoration was the basis for determining impairment to the macroinvertebrate communities in Silver Creek.</p><p class=\"p5\">Comparison of pre-restoration (2001–13) and post‑restoration (2016) macroinvertebrate community composition at trend sites determined that no significant decreases occurred in any metric parameter for communities sampled in 2016. Taxa and EPT richness of colonized assemblages at synoptic sites increased significantly from pre-restoration in 2013 to post-restoration in 2015 and 2016. Similarly, total and EPT abundances at synoptic sites showed non-significant increases from 2013 to 2015 and 2016. Significant seasonal differences in macroinvertebrate assemblages were apparent at synoptic site locations and likely reflected typical life-history patterns of increased insect emergence and development in the late spring and early summer months. Taxa and EPT richness were each significantly higher in spring and summer than in autumn, and total abundances were significantly higher in spring than in summer and autumn. No significant differences in community diversity or evenness of colonized communities were noted at synoptic site locations between pre- and post-restoration years or among seasons. Select community-metric results from the trend- and synoptic<span class=\"s2\">‑</span>site sampling indicated that the Silver Creek restoration effort in 2014 did not result in a significant decline in resident macroinvertebrate communities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175126","collaboration":"Prepared in cooperation with Blaine County and The Nature Conservancy","usgsCitation":"MacCoy, D.E., and Short, T.M., Macroinvertebrate communities evaluated prior to and following a channel restoration project in Silver Creek, Blaine County, Idaho, 2001-16: U.S. Geological Survey Scientific Investigations Report 2017-5126, 25 p., https://doi.org/10.3133/sir20175126.","productDescription":"Report: vi, 25 p.; Appendixes A-B","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-046209","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":349296,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5126/coverthb.jpg"},{"id":349297,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5126/sir20175126.pdf","text":"Report","size":"11.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5126"},{"id":349299,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5126/sir20175126_appendixa.xlsx","text":"Appendix A","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5126 Appendix A"},{"id":349300,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5126/sir20175126_appendixb.xlsx","text":"Appendix B","size":"32 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5126 Appendix B"}],"country":"United States","state":"Idaho","county":"Blaine County","otherGeospatial":"Silver 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href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"http://id.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://id.water.usgs.gov\">Idaho Water Science Center</a><br> U.S. Geological Survey<br> 230 Collins Road Boise, Idaho 83702</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Hydrology, Water Quality, and Macroinvertebrates at Trend and Synoptic Sites<br></li><li>Hydrology, Water Quality, and Macroinvertebrate Evaluation<br></li><li>Summary and Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendixes A–B<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-11-22","noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5a60fb01e4b06e28e9c22afd","contributors":{"authors":[{"text":"MacCoy, Dorene E. 0000-0001-6810-4728 demaccoy@usgs.gov","orcid":"https://orcid.org/0000-0001-6810-4728","contributorId":948,"corporation":false,"usgs":true,"family":"MacCoy","given":"Dorene","email":"demaccoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Short, Terry M. 0000-0001-9941-4593 tmshort@usgs.gov","orcid":"https://orcid.org/0000-0001-9941-4593","contributorId":1718,"corporation":false,"usgs":true,"family":"Short","given":"Terry","email":"tmshort@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192132,"text":"ofr20171132 - 2017 - An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)","interactions":[],"lastModifiedDate":"2017-11-21T11:28:07","indexId":"ofr20171132","displayToPublicDate":"2017-11-20T00:00:00","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":"2017-1132","displayTitle":"An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (<i>Karenia brevis</i>)","title":"An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)","docAbstract":"<p class=\"Default\"><span>Red tides (blooms of the harmful alga <i>Karenia brevis</i>) are one of the major sources of mortality for the Florida manatee (<i>Trichechus manatus latirostris</i>), especially in southwest Florida. It has been hypothesized that the frequency and severity of red tides may increase in the future because of global climate change and other factors. To improve our ecological forecast for the effects of red tides on manatee population dynamics and long-term persistence, we conducted a formal expert judgment process to estimate probability distributions for the frequency and relative magnitude of red-tide-related manatee mortality (RTMM) events over a 100-year time horizon in three of the four regions recognized as manatee management units in Florida. This information was used to update a population viability analysis for the Florida manatee (the Core Biological Model). We convened a panel of 12 experts in manatee biology or red-tide ecology; the panel met to frame, conduct, and discuss the elicitation. Each expert provided a best estimate and plausible low and high values (bounding a confidence level of 80 percent) for each parameter in each of three regions (Northwest, Southwest, and Atlantic) of the subspecies’ range (excluding the Upper St. Johns River region) for two time periods (0−40 and 41−100 years from present). We fitted probability distributions for each parameter, time period, and expert by using these three elicited values. We aggregated the parameter estimates elicited from individual experts and fitted a parametric distribution to the aggregated results.</span></p><p class=\"Pa23\"><span>Across regions, the experts expected the future frequency of RTMM events to be higher than historical levels, which is consistent with the hypothesis that global climate change (among other factors) may increase the frequency of red-tide blooms. The experts articulated considerable uncertainty, however, about the future frequency of RTMM events. The historical frequency of moderate and intense RTMM (combined) in the Southwest region was 0.35 (80-percent confidence interval [CI]: 0.21−0.52), whereas the forecast probability was 0.48 (80-percent CI: 0.30−0.64) over a 40-year projected time horizon. Moderate and intense RTMM events are expected to continue to be most frequent in the Southwest region, to increase in mean frequency in the Northwest region (historical frequency of moderate and intense RTMM events [combined] in the Northwest region was 0, whereas the forecast probability was 0.12 [80-percent CI: 0.02−0.39] over a 40-year projected time horizon) and in the Atlantic region (historical frequency of moderate and intense RTMM events [combined] in the Atlantic region was 0.05 [80-percent CI: 0.005–0.18], whereas the forecast probability was 0.11 [80-percent CI: 0.03−0.25] over a 40-year projected time horizon), and to remain absent from the Upper St. Johns River region. </span></p><p class=\"Pa23\"><span>The impact of red-tide blooms on manatee mortality has been measured for the Southwest region but not for the Northwest and Atlantic regions, where such events have been rare. The expert panel predicted that the median magnitude of RTMM events in the Atlantic and Northwest regions will be much smaller than that in the Southwest; given the large uncertainties, however, they acknowledged the possibility that these events could be larger in their mortality impacts than in the Southwest region. </span></p><p>By its nature, forecasting requires expert judgment because it is impossible to have empirical evidence about the future. The large uncertainties in parameter estimates over a 100-year timeframe are to be expected and may also indicate that the training provided to panelists successfully minimized one common pitfall of expert judgment, that of overconfidence. This study has provided useful and needed inputs to the Florida manatee population viability analysis associated with an important and recurrent source of mortality from harmful algal blooms.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171132","collaboration":"Prepared in cooperation with the Florida Fish and Wildlife Conservation Commission","usgsCitation":"Martin, Julien, Runge, M.C., Flewelling, L.J., Deutsch, C.J., and Landsberg, J.H., 2017, An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (<i>Karenia brevis</i>): U.S. Geological Survey Open-File Report 2017–1132, 17 p., https://doi.org/10.3133/ofr20171132.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"28","ipdsId":"IP-084079","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":348904,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1132/ofr20171132.pdf","text":"Report","size":"725 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1132"},{"id":348905,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78P5XQG","text":"USGS data release","description":"USGS Data Release","linkHelpText":"An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (<i>Karenia brevis</i>)"},{"id":348903,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1132/coverthb.jpg"}],"contact":"<p><a href=\"mailto: dc_warc@usgs.gov\" data-mce-href=\"mailto: dc_warc@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc/\" data-mce-href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc/\">Wetland and Aquatic Research Center</a><br>U.S. Geological Survey<br>7920 NW 71St Street<br>Gainesville, FL 32653<br></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-11-20","noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5a60fb0de4b06e28e9c22b6e","contributors":{"authors":[{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":714349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":714351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flewelling, Leanne J.","contributorId":197802,"corporation":false,"usgs":false,"family":"Flewelling","given":"Leanne","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deutsch, Charles J.","contributorId":190249,"corporation":false,"usgs":false,"family":"Deutsch","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landsberg, Jan H.","contributorId":24325,"corporation":false,"usgs":true,"family":"Landsberg","given":"Jan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":722249,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194168,"text":"70194168 - 2017 - The Colour and Stereo Surface Imaging System (CaSSIS) for the ExoMars Trace Gas Orbiter","interactions":[],"lastModifiedDate":"2017-11-16T13:58:21","indexId":"70194168","displayToPublicDate":"2017-11-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The Colour and Stereo Surface Imaging System (CaSSIS) for the ExoMars Trace Gas Orbiter","docAbstract":"<p><span>The Colour and Stereo Surface Imaging System (CaSSIS) is the main imaging system onboard the European Space Agency’s ExoMars Trace Gas Orbiter (TGO) which was launched on 14 March 2016. CaSSIS is intended to acquire moderately high resolution (4.6 m/pixel) targeted images of Mars at a rate of 10–20 images per day from a roughly circular orbit 400 km above the surface. Each image can be acquired in up to four colours and stereo capability is foreseen by the use of a novel rotation mechanism. A&nbsp;typical product from one image acquisition will be a&nbsp;</span><span id=\"IEq1\" class=\"InlineEquation\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn>9.5</mn><mtext>&amp;#xA0;</mtext><mstyle displaystyle=&quot;false&quot; scriptlevel=&quot;0&quot;><mtext>km</mtext></mstyle><mo>&amp;#x00D7;</mo><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mo>&amp;#x223C;</mo></mrow><mn>45</mn><mtext>&amp;#xA0;</mtext><mstyle displaystyle=&quot;false&quot; scriptlevel=&quot;0&quot;><mtext>km</mtext></mstyle></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mn\">9.5</span><span id=\"MathJax-Span-4\" class=\"mtext\">&nbsp;</span><span id=\"MathJax-Span-5\" class=\"mstyle\"><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"mtext\">km</span></span></span><span id=\"MathJax-Span-8\" class=\"mo\">×</span><span id=\"MathJax-Span-9\" class=\"texatom\"><span id=\"MathJax-Span-10\" class=\"mrow\"><span id=\"MathJax-Span-11\" class=\"mo\">∼</span></span></span><span id=\"MathJax-Span-12\" class=\"mn\">45</span><span id=\"MathJax-Span-13\" class=\"mtext\">&nbsp;</span><span id=\"MathJax-Span-14\" class=\"mstyle\"><span id=\"MathJax-Span-15\" class=\"mrow\"><span id=\"MathJax-Span-16\" class=\"mtext\">km</span></span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">9.5&nbsp;km×∼45&nbsp;km</span></span></span><span><span>&nbsp;</span>swath in full colour and stereo in one over-flight of the target thereby reducing atmospheric influences inherent in stereo and colour products from previous high resolution imagers. This paper describes the instrument including several novel technical solutions required to achieve the scientific requirements.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11214-017-0421-1","usgsCitation":"Thomas, N., Cremonese, G., Ziethe, R., Gerber, M., Brandli, M., Bruno, G., Erismann, M., Gambicorti, L., Gerber, T., Ghose, K., Gruber, M., Gubler, P., Mischler, H., Jost, J., Piazza, D., Pommerol, A., Rieder, M., Roloff, V., Servonet, A., Trottmann, W., Uthaicharoenpong, T., Zimmermann, C., Vernani, D., Johnson, M., Pelo, E., Weigel, T., Viertl, J., De Roux, N., Lochmatter, P., Sutter, G., Casciello, A., Hausner, T., Ficai Veltroni, I., Da Deppo, V., Orleanski, P., Nowosielski, W., Zawistowski, T., Szalai, S., Sodor, B., Tulyakov, S., Troznai, G., Banaskiewicz, M., Bridges, J., Byrne, S., Debei, S., El-Maarry, M., Hauber, E., Hansen, C., Ivanov, A., Keszthelyil, L., Kirk, R.L., Kuzmin, R., Mangold, N., Marinangeli, L., Markiewicz, W.J., Massironi, M., McEwen, A.S., Okubo, C.H., Tornabene, L., Wajer, P., and Wray, J., 2017, The Colour and Stereo Surface Imaging System (CaSSIS) for the ExoMars Trace Gas Orbiter: Space Science Reviews, v. 212, no. 3-4, p. 1897-1944, https://doi.org/10.1007/s11214-017-0421-1.","productDescription":"48 p.","startPage":"1897","endPage":"1944","ipdsId":"IP-090517","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11214-017-0421-1","text":"Publisher Index Page"},{"id":349008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"212","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5a60fb0fe4b06e28e9c22b8a","contributors":{"authors":[{"text":"Thomas, 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,{"id":70194144,"text":"70194144 - 2017 - Persistent shoreline shape induced from offshore geologic framework: Effects of shoreface connected ridges","interactions":[],"lastModifiedDate":"2017-12-19T16:33:38","indexId":"70194144","displayToPublicDate":"2017-11-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Persistent shoreline shape induced from offshore geologic framework: Effects of shoreface connected ridges","docAbstract":"<p><span>Mechanisms relating offshore geologic framework to shoreline evolution are determined through geologic investigations, oceanographic deployments, and numerical modeling. Analysis of shoreline positions from the past 50 years along Fire Island, New York, a 50 km long barrier island, demonstrates a persistent undulating shape along the western half of the island. The shelf offshore of these persistent undulations is characterized with shoreface-connected sand ridges (SFCR) of a similar alongshore length scale, leading to a hypothesis that the ridges control the shoreline shape through the modification of flow. To evaluate this, a hydrodynamic model was configured to start with the US East Coast and scale down to resolve the Fire Island nearshore. The model was validated using observations along western Fire Island and buoy data, and used to compute waves, currents and sediment fluxes. To isolate the influence of the SFCR on the generation of the persistent shoreline shape, simulations were performed with a linearized nearshore bathymetry to remove alongshore transport gradients associated with shoreline shape. The model accurately predicts the scale and variation of the alongshore transport that would generate the persistent shoreline undulations. In one location, however, the ridge crest connects to the nearshore and leads to an offshore-directed transport that produces a difference in the shoreline shape. This qualitatively supports the hypothesized effect of cross-shore fluxes on coastal evolution. Alongshore flows in the nearshore during a representative storm are driven by wave breaking, vortex force, advection and pressure gradient, all of which are affected by the SFCR.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017JC012808","usgsCitation":"Safak, I., List, J.H., Warner, J., and Schwab, W.C., 2017, Persistent shoreline shape induced from offshore geologic framework: Effects of shoreface connected ridges: Journal of Geophysical Research C: Oceans, v. 122, no. 11, p. 8721-8738, https://doi.org/10.1002/2017JC012808.","productDescription":"18 p.","startPage":"8721","endPage":"8738","ipdsId":"IP-082366","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/1912/9472","text":"Publisher Index Page"},{"id":349010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.33099365234375,\n              40.588928169693745\n            ],\n            [\n              -72.35321044921875,\n              40.588928169693745\n            ],\n            [\n              -72.35321044921875,\n              40.865756786006806\n            ],\n            [\n              -73.33099365234375,\n              40.865756786006806\n            ],\n            [\n              -73.33099365234375,\n              40.588928169693745\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"11","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-15","publicationStatus":"PW","scienceBaseUri":"5a60fb0fe4b06e28e9c22b8e","contributors":{"authors":[{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722352,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194075,"text":"70194075 - 2017 - Grooming behaviors of black-tailed prairie dogs are influenced by flea parasitism, conspecifics, and proximity to refuge","interactions":[],"lastModifiedDate":"2017-11-15T10:54:56","indexId":"70194075","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1589,"text":"Ethology","active":true,"publicationSubtype":{"id":10}},"title":"Grooming behaviors of black-tailed prairie dogs are influenced by flea parasitism, conspecifics, and proximity to refuge","docAbstract":"<p>Grooming is a common animal behavior that aids in ectoparasite defense. Ectoparasites can stimulate grooming, and natural selection can also favor endogenous mechanisms that evoke periodic bouts of “programmed” grooming to dislodge or kill ectoparasites before they bite or feed. Moreover, grooming can function as a displacement or communication behavior. We compared the grooming behaviors of adult female black-tailed prairie dogs (<i>Cynomys ludovicianus</i>) on colonies with or without flea control via pulicide dust. Roughly 91% of the prairie dogs sampled on the non-dusted colony carried at least one flea, whereas we did not find fleas on two dusted colonies. During focal observations, prairie dogs on the non-dusted colony groomed at higher frequencies and for longer durations than prairie dogs on the dusted colonies, lending support to the hypothesis that fleas stimulated grooming. However, the reduced amount of time spent grooming on the dusted colonies suggested that approximately 25% of grooming might be attributed to factors other than direct stimulation from ectoparasites. Non-dusted colony prairie dogs rarely autogroomed when near each other. Dusted colony prairie dogs autogroomed for shorter durations when far from a burrow opening (refuge), suggesting a trade-off between self-grooming and antipredator defense. Allogrooming was detected only on the non-dusted colony and was limited to adult females grooming young pups. Grooming appears to serve an antiparasitic function in <i>C.&nbsp;ludovicianus</i>. Antiparasitic grooming might aid in defense against fleas that transmit the plague bacterium <i>Yersinia pestis</i>. Plague was introduced to North America ca. 1900 and now has a strong influence on most prairie dog populations, suggesting a magnified effect of grooming on prairie dog fitness.</p>","language":"English","publisher":"Wiley","doi":"10.1111/eth.12690","usgsCitation":"Eads, D.A., Biggins, D.E., and Eads, S.L., 2017, Grooming behaviors of black-tailed prairie dogs are influenced by flea parasitism, conspecifics, and proximity to refuge: Ethology, v. 123, no. 12, p. 924-932, https://doi.org/10.1111/eth.12690.","productDescription":"9 p.","startPage":"924","endPage":"932","ipdsId":"IP-089455","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":438152,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S75FH5","text":"USGS data release","linkHelpText":"Grooming behaviors of black-tailed prairie dogs in Phillips County, Montana, 2006"},{"id":348859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-13","publicationStatus":"PW","scienceBaseUri":"5a60fb12e4b06e28e9c22bd3","contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":722004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eads, Samantha L.","contributorId":200343,"corporation":false,"usgs":true,"family":"Eads","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":722006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193974,"text":"70193974 - 2017 - Benefits of the fire mitigation ecosystem service in the Great Dismal Swamp National Wildlife Refuge, Virginia, USA","interactions":[],"lastModifiedDate":"2017-11-14T11:35:53","indexId":"70193974","displayToPublicDate":"2017-11-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Benefits of the fire mitigation ecosystem service in the Great Dismal Swamp National Wildlife Refuge, Virginia, USA","docAbstract":"<p>&nbsp;The Great Dismal Swamp (GDS) National Wildlife Refuge delivers multiple ecosystem services, including air quality and human health via fire mitigation. Our analysis estimates benefits of this service through its potential to reduce catastrophic wildfire related impacts on the health of nearby human populations. We used a combination of high-frequency satellite data, ground sensors, and air quality indices to determine periods of public exposure to dense emissions from a wildfire within the GDS. We examined emergency department (ED) visitation in seven Virginia counties during these periods, applied measures of cumulative Relative Risk to derive the effects of wildfire smoke exposure on ED visitation rates, and estimated economic losses using regional Cost of Illness values established within the US Environmental Protection Agency BenMAP framework. Our results estimated the value of one avoided catastrophic wildfire in the refuge to be \\$3.69 million (2015 USD), or \\$306 per hectare of burn. Reducing the frequency or severity of extensive, deep burning peatland wildfire events has additional benefits not included in this estimate, including avoided costs related to fire suppression during a burn, carbon dioxide emissions, impacts to wildlife, and negative outcomes associated with recreation and regional tourism. We suggest the societal value of the public health benefits alone provides a significant incentive for refuge mangers to implement strategies that will reduce the severity of catastrophic wildfires.<br></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2017.08.018","usgsCitation":"Parthum, B.M., Pindilli, E., and Hogan, D.M., 2017, Benefits of the fire mitigation ecosystem service in the Great Dismal Swamp National Wildlife Refuge, Virginia, USA: Journal of Environmental Management, v. 203, no. Part 1, p. 375-382, https://doi.org/10.1016/j.jenvman.2017.08.018.","productDescription":"9 p.","startPage":"375","endPage":"382","ipdsId":"IP-084034","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":469323,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2017.08.018","text":"Publisher Index Page"},{"id":348697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Great Dismal Swamp National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.5802001953125,\n              36.43564677306352\n            ],\n            [\n              -76.3385009765625,\n              36.43564677306352\n            ],\n            [\n              -76.3385009765625,\n              36.76859225206268\n            ],\n            [\n              -76.5802001953125,\n              36.76859225206268\n            ],\n            [\n              -76.5802001953125,\n              36.43564677306352\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"203","issue":"Part 1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb14e4b06e28e9c22bee","contributors":{"authors":[{"text":"Parthum, Bryan M. 0000-0002-9996-2183 bparthum@usgs.gov","orcid":"https://orcid.org/0000-0002-9996-2183","contributorId":200286,"corporation":false,"usgs":true,"family":"Parthum","given":"Bryan","email":"bparthum@usgs.gov","middleInitial":"M.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":721776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":721775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":721777,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193923,"text":"70193923 - 2017 - Variation in annual clutch phenology of desert tortoises (Gopherus morafkai) in the Sonoran Desert of Arizona","interactions":[],"lastModifiedDate":"2017-12-11T13:11:20","indexId":"70193923","displayToPublicDate":"2017-11-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in annual clutch phenology of desert tortoises (<i>Gopherus morafkai</i>) in the Sonoran Desert of Arizona","title":"Variation in annual clutch phenology of desert tortoises (Gopherus morafkai) in the Sonoran Desert of Arizona","docAbstract":"<p>The phenology of egg production and oviposition in organisms affects survival and development of neonates and thus, both offspring and maternal fitness. In addition, in organisms with environmental sex determination, clutch phenology can affect hatchling sex ratios with attendant effects on population demography. The rapid rate of contemporary climate change might disrupt reproductive phenologies that evolved to match environmental conditions. To better understand the response of clutch phenology to annual and long-term changes in climate, we studied a population of Sonoran Desert Tortoises (<i>Gopherus morafkai</i>) in Arizona in 1993 and 1997–2005, specifically quantifying three phenophases, including (1) the estimated time of appearance of shelled eggs in females, (2) the estimated time that eggs were last visible in X-radiographs, and (3) the duration of the interval between the first two events. The mean date for appearance of shelled eggs was 6 June, and the mean date they were last visible was 26 June. After controlling for individual female effects, these dates were different among years. The total number of days that eggs were visible across all females within a year differed among years, but the mean duration of time that clutches were visible, after controlling for individual female effects, was similar among years. Three of 18 females exhibited interannual egg retention on 5 occasions from 52 clutches. Although <i>G. morafkai</i> ovulates only one clutch per year, they might oviposit up to two because of interannual egg retention. Most females produced shelled eggs through heat-unit accumulation achieving 8.3 degree days within a 14-d moving average. The ability to vary the timing of egg formation and oviposition might buffer <i>G. morafkai</i> from some of the effects of predicted increases in temperatures, but species-specific information on developmental temperatures and nesting behavior are needed to determine whether or not the species will be able to produce viable clutches of mixed sex ratios in a warmer climate.</p>","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/HERPETOLOGICA-D-17-00007.1","usgsCitation":"Lovich, J.E., Averill-Murray, R.C., Agha, M., Ennen, J., and Austin, M., 2017, Variation in annual clutch phenology of desert tortoises (Gopherus morafkai) in the Sonoran Desert of Arizona: Herpetologica, v. 73, no. 4, p. 313-322, https://doi.org/10.1655/HERPETOLOGICA-D-17-00007.1.","productDescription":"10 p.","startPage":"313","endPage":"322","ipdsId":"IP-081459","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":348583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","volume":"73","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c0e4b09af898c860b2","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":721478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Averill-Murray, Roy C.","contributorId":200226,"corporation":false,"usgs":false,"family":"Averill-Murray","given":"Roy","email":"","middleInitial":"C.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":721479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":721480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":721481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Austin, Meaghan","contributorId":200227,"corporation":false,"usgs":false,"family":"Austin","given":"Meaghan","email":"","affiliations":[{"id":35714,"text":"Trileaf Environmental Corporation, 2121 W. Chandler Blvd. Suite 203, Chandler, AZ 85224, USA","active":true,"usgs":false}],"preferred":false,"id":721482,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193809,"text":"70193809 - 2017 - Streamflow characteristics from modelled runoff time series: Importance of calibration criteria selection","interactions":[],"lastModifiedDate":"2017-11-09T11:57:32","indexId":"70193809","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow characteristics from modelled runoff time series: Importance of calibration criteria selection","docAbstract":"Ecologically relevant streamflow characteristics (SFCs) of ungauged catchments are often estimated from simulated runoff of hydrologic models that were originally calibrated on gauged catchments. However, SFC estimates of the gauged donor catchments and subsequently the ungauged catchments can be substantially uncertain when models are calibrated using traditional approaches based on optimization of statistical performance metrics (e.g., Nash–Sutcliffe model efficiency). An improved calibration strategy for gauged catchments is therefore crucial to help reduce the uncertainties of estimated SFCs for ungauged catchments. The aim of this study was to improve SFC estimates from modeled runoff time series in gauged catchments by explicitly including one or several SFCs in the calibration process. Different types of objective functions were defined consisting of the Nash–Sutcliffe model efficiency, single SFCs, or combinations thereof. We calibrated a bucket-type runoff model (HBV – Hydrologiska Byråns Vattenavdelning – model) for 25 catchments in the Tennessee River basin and evaluated the proposed calibration approach on 13 ecologically relevant SFCs representing major flow regime components and different flow conditions. While the model generally tended to underestimate the tested SFCs related to mean and high-flow conditions, SFCs related to low flow were generally overestimated. The highest estimation accuracies were achieved by a SFC-specific model calibration. Estimates of SFCs not included in the calibration process were of similar quality when comparing a multi-SFC calibration approach to a traditional model efficiency calibration. For practical applications, this implies that SFCs should preferably be estimated from targeted runoff model calibration, and modeled estimates need to be carefully interpreted.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-21-5443-2017","usgsCitation":"Poole, S., Vis, M., Knight, R., and Seibert, J., 2017, Streamflow characteristics from modelled runoff time series: Importance of calibration criteria selection: Hydrology and Earth System Sciences, v. 21, p. 5443-5457, https://doi.org/10.5194/hess-21-5443-2017.","productDescription":"15 p.","startPage":"5443","endPage":"5457","ipdsId":"IP-078840","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":469334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-21-5443-2017","text":"Publisher Index 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Marc","contributorId":174146,"corporation":false,"usgs":false,"family":"Vis","given":"Marc","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":720578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Rodney 0000-0001-9588-0167 rrknight@usgs.gov","orcid":"https://orcid.org/0000-0001-9588-0167","contributorId":152422,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seibert, Jan","contributorId":176322,"corporation":false,"usgs":false,"family":"Seibert","given":"Jan","email":"","affiliations":[],"preferred":false,"id":720579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220386,"text":"70220386 - 2017 - Predicting landscape effects of Mississippi River diversions on soil organic carbon sequestration","interactions":[],"lastModifiedDate":"2021-05-10T14:36:35.266187","indexId":"70220386","displayToPublicDate":"2017-11-06T09:29:26","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Predicting landscape effects of Mississippi River diversions on soil organic carbon sequestration","docAbstract":"<p><span>Large Mississippi River (MR) diversions (peak water flow &gt;1416&nbsp;m</span><sup>3</sup><span>/s and sediment loads &gt;165&nbsp;kg/s) have been proposed as part of a suite of coastal restoration projects and are expected to rehabilitate and rebuild wetlands to alleviate the significant historic wetland loss in coastal Louisiana. These coastal wetlands are undergoing increasing eustatic sea‐level rise, land subsidence, climate change, and anthropogenic disturbances. However, the effect of MR diversions on wetland soil organic carbon (SOC) sequestration in receiving basins remains unknown. The rate of SOC sequestration or carbon burial in wetlands is one of the variables used to assess the role of wetland soils in carbon cycling and also to construct wetland carbon budgets. In this study, we examined the effects of MR water and sediment diversions on landscape‐scale SOC sequestration rates that were estimated from vertical accretion for the next 50&nbsp;yr (2010–2060) under two environmental (moderate and less optimistic) scenarios. Our analyses were based on model simulations taken from the Wetland Morphology model developed for Louisiana's 2012 Coastal Master Plan. The master plan modeled a “future‐without‐action” scenario as well as eight individual MR diversion projects in two of the hydrologic basins (Barataria and Breton Sound). We examined the effects that discharge rates (peak flow) and locations of these individual diversion projects had on SOC sequestration rates. Modeling results indicate that large river diversions are capable of improving basin‐wide SOC sequestration capacity (162–222&nbsp;g&nbsp;C·m</span><sup>−2</sup><span>·yr</span><sup>−1</sup><span>) by up to 14% (30&nbsp;g&nbsp;C·m</span><sup>−2</sup><span>·yr</span><sup>−1</sup><span>) in Louisiana deltaic wetlands compared to the future‐without‐action scenario, especially under the less optimistic scenario. When large river diversions are placed in the upper receiving basin, SOC sequestration rates are 3.7–10.5% higher (6–24&nbsp;g&nbsp;C·m</span><sup>−2</sup><span>·yr</span><sup>−1</sup><span>) than when these structures are placed in the lower receiving basin. Modeling results also indicate that both diversion discharge and location have large effects on SOC sequestration in low‐salinity (freshwater and intermediate marshes) as compared to high‐salinity marshes (brackish and saline marshes).</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1984","usgsCitation":"Wang, H., Steyer, G.D., Couvillion, B., Beck, H.J., Rybczyk, J.M., Rivera-Monroy, V.H., Krauss, K.W., and Visser, J.M., 2017, Predicting landscape effects of Mississippi River diversions on soil organic carbon sequestration: Ecosphere, v. 8, no. 11, e01984, 15 p., https://doi.org/10.1002/ecs2.1984.","productDescription":"e01984, 15 p.","ipdsId":"IP-070521","costCenters":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469345,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1984","text":"Publisher Index Page"},{"id":438156,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72R3PWW","text":"USGS data release","linkHelpText":"Predicting landscape effects of Mississippi River diversions on soil organic carbon sequestration"},{"id":385545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin, Breton Sound Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.3128662109375,\n              29.480252193344267\n            ],\n            [\n              -89.00,\n              29.480252193344267\n            ],\n            [\n              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steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":815332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Couvillion, Brady 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":146832,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":815333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Holly J. 0000-0002-0567-9329 hbeck@usgs.gov","orcid":"https://orcid.org/0000-0002-0567-9329","contributorId":257931,"corporation":false,"usgs":true,"family":"Beck","given":"Holly","email":"hbeck@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":815334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rybczyk, John M","contributorId":257932,"corporation":false,"usgs":false,"family":"Rybczyk","given":"John","email":"","middleInitial":"M","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":815335,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rivera-Monroy, Victor H. 0000-0003-2804-4139","orcid":"https://orcid.org/0000-0003-2804-4139","contributorId":200322,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":815336,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":815337,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Visser, Jenneke M.","contributorId":178417,"corporation":false,"usgs":false,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":815338,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193674,"text":"70193674 - 2017 - Comparing measurement response and inverted results of electrical resistivity tomography instruments","interactions":[],"lastModifiedDate":"2017-11-06T11:19:36","indexId":"70193674","displayToPublicDate":"2017-11-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Comparing measurement response and inverted results of electrical resistivity tomography instruments","docAbstract":"In this investigation, we compare the results of electrical resistivity measurements made by six commercially available instruments on the same line of electrodes to determine if there are differences in the measured data or inverted results. These comparisons are important to determine whether measurements made between different instruments are consistent. We also degraded contact resistance on one quarter of the electrodes to study how each instrument responds to different electrical connection with the ground. We find that each instrument produced statistically similar apparent resistivity results, and that any conservative assessment of the final inverted resistivity models would result in a similar interpretation for each. We also note that inversions, as expected, are affected by measurement error weights. Increased measurement errors were most closely associated with degraded contact resistance in this set of experiments. In a separate test we recorded the full measured waveform for a single four-electrode array to show how poor electrode contact and instrument-specific recording settings can lead to systematic measurement errors. We find that it would be acceptable to use more than one instrument during an investigation with the expectation that the results would be comparable assuming contact resistance remained consistent.","language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.2113/JEEG22.3.249","usgsCitation":"Parsekian, A.D., Claes, N., Singha, K., Minsley, B.J., Carr, B., Voytek, E., Harmon, R., Kass, A., Carey, A., Thayer, D., and Flinchum, B., 2017, Comparing measurement response and inverted results of electrical resistivity tomography instruments: Journal of Environmental & Engineering Geophysics, v. 22, no. 3, p. 249-266, https://doi.org/10.2113/JEEG22.3.249.","productDescription":"18 p.","startPage":"249","endPage":"266","ipdsId":"IP-080728","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":348258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-18","publicationStatus":"PW","scienceBaseUri":"5a07e846e4b09af898c8cb2c","contributors":{"authors":[{"text":"Parsekian, Andrew D.","contributorId":23829,"corporation":false,"usgs":false,"family":"Parsekian","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":719851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Claes, Niels","contributorId":199728,"corporation":false,"usgs":false,"family":"Claes","given":"Niels","email":"","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":719852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":719853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carr, Bradley","contributorId":175482,"corporation":false,"usgs":false,"family":"Carr","given":"Bradley","email":"","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":719854,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Voytek, Emily","contributorId":199729,"corporation":false,"usgs":false,"family":"Voytek","given":"Emily","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":719855,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harmon, Ryan","contributorId":191252,"corporation":false,"usgs":false,"family":"Harmon","given":"Ryan","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":720662,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kass, Andy","contributorId":191248,"corporation":false,"usgs":true,"family":"Kass","given":"Andy","email":"","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":720663,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carey, Austin","contributorId":149257,"corporation":false,"usgs":false,"family":"Carey","given":"Austin","email":"","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":720664,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thayer, Drew","contributorId":190722,"corporation":false,"usgs":false,"family":"Thayer","given":"Drew","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":720665,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flinchum, Brady","contributorId":199732,"corporation":false,"usgs":false,"family":"Flinchum","given":"Brady","email":"","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":720666,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70194126,"text":"70194126 - 2017 - Assessing the potential of translocating vulnerable forest birds by searching for novel and enduring climatic ranges","interactions":[],"lastModifiedDate":"2018-01-04T08:24:43","indexId":"70194126","displayToPublicDate":"2017-11-06T00:00:00","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":"Assessing the potential of translocating vulnerable forest birds by searching for novel and enduring climatic ranges","docAbstract":"Hawaiian forest birds are imperiled, with fewer than half the original >40 species remaining extant. Recent studies document ongoing rapid population decline and pro- ject complete climate-based range losses for the critically endangered Kaua’i endemics ‘akeke’e (Loxops caeruleirostris) and ‘akikiki (Oreomystis bairdi) by end-of-century due to projected warming. Climate change facilitates the upward expansion of avian malaria into native high elevation forests where disease was historically absent. While intensi- fied conservation efforts attempt to safeguard these species and their habitats, the magnitude of potential loss and the urgency of this situation require all conservation options to be seriously considered. One option for Kaua’i endemics is translocation to islands with higher elevation habitats. We explored the feasibility of interisland translocation by projecting baseline and future climate-based ranges of ‘akeke’e and ‘akikiki across the Hawaiian archipelago. For islands where compatible climates for these spe- cies were projected to endure through end-of-century, an additional climatic niche overlap analysis compares the spatial overlap between Kaua’i endemics and current native species on prospective destination islands. Suitable climate-based ranges exist on Maui and Hawai’i for these Kaua’i endemics that offer climatically distinct areas compared to niche distributions of destination island endemics. While we recognize that any decision to translocate birds will include assessing numerous additional social, political, and biological factors, our focus on locations of enduring and ecologically compatible climate-based ranges represents the first step to evaluate this potential conservation option. Our approach considering baseline and future distributions of species with climatic niche overlap metrics to identify undesirable range overlap provides a method that can be utilized for other climate-vulnerable species with disjointed compatible environments beyond their native range.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3451","usgsCitation":"Fortini, L.B., Kaiser, L.R., Vorsino, A.E., Paxton, E., and Jacobi, J.D., 2017, Assessing the potential of translocating vulnerable forest birds by searching for novel and enduring climatic ranges: Ecology and Evolution, v. 7, no. 21, p. 9119-9130, https://doi.org/10.1002/ece3.3451.","productDescription":"12 p.","startPage":"9119","endPage":"9130","ipdsId":"IP-079990","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3451","text":"Publisher Index Page"},{"id":349006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","volume":"7","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5a60fb20e4b06e28e9c22cee","contributors":{"authors":[{"text":"Fortini, Lucas B. 0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":722261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaiser, Lauren R.","contributorId":200422,"corporation":false,"usgs":false,"family":"Kaiser","given":"Lauren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vorsino, Adam E.","contributorId":200423,"corporation":false,"usgs":false,"family":"Vorsino","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":722260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":722264,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193634,"text":"70193634 - 2017 - Examining the occupancy–density relationship for a low-density carnivore","interactions":[],"lastModifiedDate":"2017-11-29T16:09:23","indexId":"70193634","displayToPublicDate":"2017-11-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Examining the occupancy–density relationship for a low-density carnivore","docAbstract":"<ol id=\"jpe12883-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li><p>The challenges associated with monitoring low-density carnivores across large landscapes have limited the ability to implement and evaluate conservation and management strategies for such species. Non-invasive sampling techniques and advanced statistical approaches have&nbsp;alleviated some of these challenges and can even allow for spatially explicit estimates of density, one of the most valuable wildlife monitoring tools.</p></li><li><p>For some species, individual identification comes at no cost when unique attributes (e.g. pelage patterns) can be discerned with remote cameras, while other species require viable genetic material and expensive laboratory processing for individual assignment. Prohibitive costs may still force monitoring efforts to use species distribution or occupancy as a surrogate for density, which may not be appropriate under many conditions.</p></li><li><p>Here, we used a large-scale monitoring study of fisher<span>&nbsp;</span><i>Pekania pennanti</i><span>&nbsp;</span>to evaluate the effectiveness of occupancy as an approximation to density, particularly for informing harvest management decisions. We combined remote cameras with baited hair snares during 2013–2015 to sample across a 70&nbsp;096-km<sup>2</sup><span>&nbsp;</span>region of western New York, USA. We fit occupancy and Royle–Nichols models to species detection–non-detection data collected by cameras, and spatial capture–recapture (SCR) models to individual encounter data obtained by genotyped hair samples. Variation in the state variables within 15-km<sup>2</sup><span>&nbsp;</span>grid cells was modelled as a function of landscape attributes known to influence fisher distribution.</p></li><li><p>We found a close relationship between grid cell estimates of fisher state variables from the models using detection–non-detection data and those from the SCR model, likely due to informative spatial covariates across a large landscape extent and a grid cell resolution that worked well with the movement ecology of the species. Fisher occupancy and density were both positively associated with the proportion of coniferous-mixed forest and negatively associated with road density. As a result, spatially explicit management recommendations for fisher were similar across models, though relative variation was dampened for the detection–non-detection data.</p></li><li><p><i>Synthesis and applications</i>. Our work provides empirical evidence that models using detection–non-detection data can make similar inferences regarding relative spatial variation of the focal population to models using more expensive individual encounters when the selected spatial grain approximates or is marginally smaller than home range size. When occupancy alone is chosen as a cost-effective state variable for monitoring, simulation and sensitivity analyses should be used to understand how inferences from detection–non-detection data will be affected by aspects of study design and species ecology.</p></li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12883","usgsCitation":"Linden, D.W., Fuller, A.K., Royle, J., and Hare, M.P., 2017, Examining the occupancy–density relationship for a low-density carnivore: Journal of Applied Ecology, v. 54, no. 6, p. 2043-2052, https://doi.org/10.1111/1365-2664.12883.","productDescription":"10 p.","startPage":"2043","endPage":"2052","ipdsId":"IP-076765","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469348,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12883","text":"Publisher Index Page"},{"id":348255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-11","publicationStatus":"PW","scienceBaseUri":"5a07e847e4b09af898c8cb2e","contributors":{"authors":[{"text":"Linden, Daniel W.","contributorId":171466,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":720660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":719696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, Matthew P.","contributorId":171454,"corporation":false,"usgs":false,"family":"Hare","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":720661,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}