{"pageNumber":"654","pageRowStart":"16325","pageSize":"25","recordCount":165270,"records":[{"id":70207598,"text":"70207598 - 2019 - Using maintenance records from a long-term sensor monitoring network to evaluate the relationship between maintenance schedule and data quality","interactions":[],"lastModifiedDate":"2019-12-31T08:35:20","indexId":"70207598","displayToPublicDate":"2019-12-18T16:26:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Using maintenance records from a long-term sensor monitoring network to evaluate the relationship between maintenance schedule and data quality","docAbstract":"Sensor-based environmental monitoring networks are beginning to provide the large-scale, long-term data required to address important fundamental and applied questions in ecology. However, the data quality from deployed sensors can be difficult and costly to ensure. In this study, we use maintenance records from the 12-year history of Louisiana’s Coastwide Reference Monitoring System (CRMS) to assess the relationship between various dimensions of data quality and the frequency of field visits to the sensors. We use hierarchical Bayesian models to estimate the probability of missing data, the probability that a corrective offset of the sensor is required, and the magnitude of required offsets for water elevation and salinity data. We compared these estimates to predetermined risk thresholds to the help identify maintenance schedules that balanced the efficient use of labor resources without sacrificing data quality. We found that the relationship between data quality and increasing maintenance interval varied across metrics. Additionally, for most metrics, the maintenance interval when the metric’s credible interval and risk threshold intersected varied throughout the year and with wetland type. These results suggest that complex maintenance schedules, in which field visits vary in frequency throughout the year and with environmental context, are likely to provide the best tradeoff between labor cost and data quality. This analysis demonstrates that quantitative assessment of maintenance records can positively impact the sustainability of long-term data collection projects by helping identify new potential efficiencies in monitoring program management.","language":"English","publisher":"Springer","doi":"10.1007/s10661-019-7967-1","usgsCitation":"Schoolmaster, D.R., and Piazza, S., 2019, Using maintenance records from a long-term sensor monitoring network to evaluate the relationship between maintenance schedule and data quality: Environmental Monitoring and Assessment, v. 192, 54, 14 p., https://doi.org/10.1007/s10661-019-7967-1.","productDescription":"54, 14 p.","ipdsId":"IP-108219","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":370879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana 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Jr. 0000-0003-0910-4458","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":221551,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":778644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piazza, Sarai 0000-0001-6962-9008","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":221552,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":778645,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208715,"text":"70208715 - 2019 - Understanding tidal marsh trajectories: Evaluation of multiple indicators of marsh persistence","interactions":[],"lastModifiedDate":"2020-02-25T15:22:04","indexId":"70208715","displayToPublicDate":"2019-12-18T15:19:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Understanding tidal marsh trajectories: Evaluation of multiple indicators of marsh persistence","docAbstract":"Robust assessments of ecosystem stability are critical for informing conservation and management decisions. Tidal marsh ecosystems provide vital services, yet are globally threatened by anthropogenic alterations to physical and biological processes. A variety of monitoring and modeling approaches have been undertaken to determine which tidal marshes are likely to persist into the future. Here, we conduct the most robust comparison of marsh metrics to date, building on two foundational studies that had previously and independently developed metrics for marsh condition. We characterized pairs of marshes with contrasting trajectories (of marsh cover ) across six regions of the United States, using a combination of remote-sensing and field-based metrics. We also quantified decadal trends in marsh conversion to mudflat/open water at these twelve marshes. Our results suggest that metrics quantifying the distribution of vegetation across an elevational gradient represent the best indicators of marsh trajectories. The unvegetated to vegetated ratio and flood-ebb sediment differential also served as valuable indicators. No single metric universally predicted marsh trajectories, and therefore a more robust approach includes a suite of spatially integrated, landscape-scale metrics that are mostly obtainable from remote sensing. Data from surface elevation tables and marker horizons revealed that degrading marshes can have higher rates of vertical accretion and elevation gain than more intact counterparts, likely due to longer inundation times potentially combined with internal recycling of material. A high rate of elevation gain relative to local sea-level rise has been considered critical to marsh persistence, but our results suggest that it also may serve as a signature of degradation in marshes that have already begun to deteriorate. This investigation, with rigorous comparison and integration of metrics initially developed independently, tested at a broad geographic scale, provides a model for collaborative science to develop management tools for improving conservation outcomes.","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ab5a94","usgsCitation":"Wasson, K., Ganju, N., Defne, Z., Endris, C., Elsey-Quirk, T., Thorne, K., Freeman, C.M., Guntenspergen, G.R., Nowacki, D.J., and Raposa, K.B., 2019, Understanding tidal marsh trajectories: Evaluation of multiple indicators of marsh persistence: Environmental Research Letters, v. 14, no. 12, 124073, 13 p., https://doi.org/10.1088/1748-9326/ab5a94.","productDescription":"124073, 13 p.","ipdsId":"IP-113125","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Kerstin","contributorId":221786,"corporation":false,"usgs":false,"family":"Wasson","given":"Kerstin","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":783139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":783138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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This report presents economic principles and applications as they pertain to the U.S. Geological Survey’s U.S. Coal Resources and Reserves Assessment Project. This report compares commercial and governmental applications of economic principles and evaluation techniques. Common practices are described for evaluating the commercial investment potential of coal properties and calculating the government reserve potential of major U.S. coal basins. This report discusses economic principles that are applicable to typical mining feasibility studies as well as those categories and cost items that are often misused.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191082","usgsCitation":"Pierce, P.E., 2019, Economic analysis for U.S. Geological Survey coal basin assessments: U.S. Geological Survey Open-File Report 2019–1082, 33 p., https://doi.org/10.3133/ofr20191082.","productDescription":"v, 33 p.","onlineOnly":"Y","ipdsId":"IP-090621","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":370384,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1082/coverthb.jpg"},{"id":370385,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1082/ofr20191082.pdf","text":"Report","size":"1.16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1082"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.958984375,\n 49.38237278700955\n ],\n [\n -123.48632812499999,\n 48.40003249610685\n ],\n [\n -124.98046874999999,\n 48.40003249610685\n ],\n [\n -124.27734374999999,\n 46.31658418182218\n ],\n [\n -124.892578125,\n 43.77109381775651\n ],\n [\n -124.71679687499999,\n 41.04621681452063\n ],\n [\n -123.74999999999999,\n 38.54816542304656\n ],\n [\n -122.08007812499999,\n 34.813803317113155\n ],\n [\n -119.267578125,\n 33.797408767572485\n ],\n [\n -117.42187500000001,\n 32.47269502206151\n ],\n [\n -115.13671875,\n 32.62087018318113\n ],\n [\n -110.830078125,\n 31.27855085894653\n ],\n [\n -107.9296875,\n 31.353636941500987\n ],\n [\n -106.5234375,\n 31.728167146023935\n ],\n [\n -103.35937499999999,\n 28.536274512989916\n ],\n [\n -102.568359375,\n 29.458731185355344\n ],\n [\n -101.25,\n 29.38217507514529\n ],\n [\n -99.228515625,\n 26.509904531413927\n ],\n [\n -96.591796875,\n 25.48295117535531\n ],\n [\n -97.03125,\n 26.509904531413927\n ],\n [\n -95.80078125,\n 28.459033019728043\n ],\n [\n -93.955078125,\n 28.76765910569123\n ],\n [\n -90.703125,\n 29.075375179558346\n ],\n [\n -88.24218749999999,\n 29.22889003019423\n ],\n [\n -87.978515625,\n 29.99300228455108\n ],\n [\n -84.111328125,\n 29.38217507514529\n ],\n [\n -82.265625,\n 26.352497858154024\n ],\n [\n -80.947265625,\n 24.926294766395593\n ],\n [\n -80.15625,\n 25.958044673317843\n ],\n [\n -80.419921875,\n 28.38173504322308\n ],\n [\n -81.03515625,\n 30.977609093348686\n ],\n [\n -79.453125,\n 32.47269502206151\n ],\n [\n -76.2890625,\n 35.24561909420681\n ],\n [\n -75.234375,\n 37.50972584293751\n ],\n [\n -73.65234375,\n 40.245991504199026\n ],\n [\n -69.697265625,\n 41.57436130598913\n ],\n [\n -70.57617187499999,\n 43.197167282501276\n ],\n [\n -66.796875,\n 44.653024159812\n ],\n [\n -68.02734375,\n 47.338822694822\n ],\n [\n -69.60937499999999,\n 47.39834920035926\n ],\n [\n -70.927734375,\n 45.1510532655634\n ],\n [\n -74.619140625,\n 44.96479793033101\n ],\n [\n -79.541015625,\n 43.644025847699496\n ],\n [\n -79.27734374999999,\n 42.74701217318067\n ],\n [\n -82.880859375,\n 41.902277040963696\n ],\n [\n -82.265625,\n 44.402391829093915\n ],\n [\n -84.111328125,\n 46.619261036171515\n ],\n [\n -89.12109375,\n 48.22467264956519\n ],\n [\n -94.5703125,\n 49.38237278700955\n ],\n [\n -95.2734375,\n 49.439556958940855\n ],\n [\n -95.2734375,\n 49.03786794532644\n ],\n [\n -122.958984375,\n 49.38237278700955\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-12-18","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Pierce, Paul E. 0000-0001-9675-7320 ppierce@usgs.gov","orcid":"https://orcid.org/0000-0001-9675-7320","contributorId":3732,"corporation":false,"usgs":true,"family":"Pierce","given":"Paul","email":"ppierce@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":777790,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70207360,"text":"fs20193059 - 2019 - U.S. Geological Survey EDMAP Program—Training the next generation of geologic mappers","interactions":[{"subject":{"id":70207360,"text":"fs20193059 - 2019 - U.S. Geological Survey EDMAP Program—Training the next generation of geologic mappers","indexId":"fs20193059","publicationYear":"2019","noYear":false,"displayTitle":"U.S. Geological Survey EDMAP Program—Training the Next Generation of Geologic Mappers","title":"U.S. Geological Survey EDMAP Program—Training the next generation of geologic mappers"},"predicate":"SUPERSEDED_BY","object":{"id":70239417,"text":"fs20233002 - 2023 - The EDMAP Program: Training the next generation of geologic mappers","indexId":"fs20233002","publicationYear":"2023","noYear":false,"title":"The EDMAP Program: Training the next generation of geologic mappers"},"id":1}],"supersededBy":{"id":70239417,"text":"fs20233002 - 2023 - The EDMAP Program: Training the next generation of geologic mappers","indexId":"fs20233002","publicationYear":"2023","noYear":false,"title":"The EDMAP Program: Training the next generation of geologic mappers"},"lastModifiedDate":"2023-01-23T17:53:02.782765","indexId":"fs20193059","displayToPublicDate":"2019-12-18T13:50:35","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3059","displayTitle":"U.S. Geological Survey EDMAP Program—Training the Next Generation of Geologic Mappers","title":"U.S. Geological Survey EDMAP Program—Training the next generation of geologic mappers","docAbstract":"

Detailed geologic maps are the basis of nearly every Earth-science investigation and can be used for natural hazard mitigation, resource identification and exploration, infrastructure planning, and more. A component of the congressionally mandated National Cooperative Geologic Mapping Program, EDMAP is a partnership among the U.S. Geological Survey, the Association of American State Geologists, and participating colleges and universities that provides mentorship and training opportunities to geology students nationwide. Under the guidance of a faculty member, EDMAP supports upper level undergraduate and graduate students to gain meaningful experience working on 1-year geologic-mapping projects. Between 1996 and 2019, EDMAP funded research projects for more than 1,200 students at more than 160 universities. Every Federal dollar awarded through the EDMAP program is matched by the student’s university.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193059","usgsCitation":"Ackerman, A., and McPhee, D.K., 2019, U.S. Geological Survey EDMAP Program—Training the next generation of geologic mappers (ver. 1.1, July 2020): U.S. Geological Survey Fact Sheet 2019–3059, 4 p., https://doi.org/10.3133/fs20193059.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-098123","costCenters":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":370408,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3059/coverthb3.jpg"},{"id":370409,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3059/fs20193059_v1.1.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3059"},{"id":376389,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2019/3059/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: December 18, 2019; Version 1.1: July 14, 2020","contact":"

Director
National Cooperative Geologic Mapping Program
U.S. Geological Survey
12201 Sunrise Valley Drive Mail Stop 908
Reston, Virginia 20192

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-12-18","revisedDate":"2020-07-14","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Ackerman, Abby","contributorId":221317,"corporation":false,"usgs":false,"family":"Ackerman","given":"Abby","email":"","affiliations":[{"id":40350,"text":"American Geosciences Institute","active":true,"usgs":false}],"preferred":false,"id":777815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":777814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205635,"text":"sim3442 - 2019 - Sedimentation survey of Lago Guayabal, Villalba, Puerto Rico, December 2017","interactions":[],"lastModifiedDate":"2019-12-18T19:58:59","indexId":"sim3442","displayToPublicDate":"2019-12-18T12:55:46","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3442","displayTitle":"Sedimentation Survey of Lago Guayabal, Villalba, Puerto Rico, December 2017","title":"Sedimentation survey of Lago Guayabal, Villalba, Puerto Rico, December 2017","docAbstract":"

The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a sedimentation survey of Lago Guayabal in 2017 to determine reservoir infill sedimentation rates, generate a bathymetric map of the bottom elevations of the reservoir, and create a stage-volume relation. The original (1913) capacity of Lago Guayabal was 11.82 million cubic meters, and efforts to increase the storage capacity were made in 1950 by the installation of flashboards. The 2017 survey indicated that storage capacity of Lago Guayabal is 4.98 million cubic meters. The estimated full sediment infill of Lago Guayabal is expected in 77 years, based on the long-term sedimentation rate of 0.065 million cubic meters per year determined for the 1972–2017 period.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3442","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Gómez-Fragoso, J.M., and Rosario, M., 2019, Sedimentation survey of Lago Guayabal, Villalba, Puerto Rico, December 2017: U.S. Geological Survey Scientific Investigations Map 3442, 1 sheet, https://doi.org/10.3133/sim3442.","productDescription":"1 Plate: 29.00 x 32.00 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-099137","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":370191,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3442/sim3442.pdf","text":"Report","size":"7.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3442"},{"id":370190,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3442/coverthb.jpg"},{"id":370192,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/P9FD12Y5","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Sedimentation survey data for Lago Guayabal, December 2017"}],"otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.51569366455078,\n 18.082058622333665\n ],\n [\n -66.49080276489258,\n 18.082058622333665\n ],\n [\n -66.49080276489258,\n 18.104331760155084\n ],\n [\n -66.51569366455078,\n 18.104331760155084\n ],\n [\n -66.51569366455078,\n 18.082058622333665\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-12-18","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Gómez-Fragoso, Julieta M. 0000-0002-1080-2950","orcid":"https://orcid.org/0000-0002-1080-2950","contributorId":201641,"corporation":false,"usgs":true,"family":"Gómez-Fragoso","given":"Julieta M.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosario, Manuel mrosario@usgs.gov","contributorId":5624,"corporation":false,"usgs":true,"family":"Rosario","given":"Manuel","email":"mrosario@usgs.gov","affiliations":[],"preferred":true,"id":777264,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208434,"text":"70208434 - 2019 - The seasonal energetic landscape of an apex marine carnivore, the polar bear","interactions":[],"lastModifiedDate":"2020-02-10T06:16:28","indexId":"70208434","displayToPublicDate":"2019-12-18T12:25:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The seasonal energetic landscape of an apex marine carnivore, the polar bear","docAbstract":"Divergent movement strategies have enabled wildlife populations to adapt to environmental change. In recent decades, the Southern Beaufort Sea subpopulation of polar bears (Ursus maritimus) has developed a divergent movement strategy in response to diminishing sea ice where the majority of the subpopulation (73–85%) stays on the sea ice in summer and the remaining bears move to land. Although declines in sea ice are generally considered a challenge to energy balance in polar bears residing in some regions of the Arctic, little quantitative data exists concerning the seasonal energy expenditures of this apex marine carnivore. We used GPS satellite collars with tri-axial accelerometers and conductivity sensors to measure the location, behavior, and energy expenditure of five adult female polar bears in the southern Beaufort Sea across seasons of sea ice breakup and minimum extent. Using a Bayesian mixed-effects model, we found that energy expenditure was influenced by month, ocean depth, and habitat type (sea ice or land). Total energy expenditure from May to October ranged from 37.7 – 47.2 mJ kg-1 for individual bears. Bears that moved to land expended 7% more energy on average from May to October than bears that remained on the receding sea ice. In August, when bears were moving from the sea ice to land or moving north with the receding pack ice, bears that moved to land spent 7% more time swimming and expended 22% more energy. Meaning the immediate cost of moving to land exceeded the cost of remaining on the receding summer pack ice. These findings suggest a physiological reason why the majority of the Southern Beaufort Sea subpopulation continues to inhabit a diminishing summer ice platform. However, bears that moved to land spent 29% more time in preferred hunting habitats over the continental shelf than bears that remained on the sea ice. Bears on land also had access to subsistence-harvested bowhead whale carcasses. Hence, our findings indicate there may be a greater overall energetic benefit to move to land in this region, which suggests that the use of the diminishing summer sea ice may be functioning as an ecological trap.","language":"English","publisher":"Wiley","doi":"10.1002/ecy.2959","usgsCitation":"Pagano, A.M., Atwood, T.C., Durner, G.M., and Williams, T.M., 2019, The seasonal energetic landscape of an apex marine carnivore, the polar bear: Ecology, e02959, 37 p., https://doi.org/10.1002/ecy.2959.","productDescription":"e02959, 37 p.","ipdsId":"IP-108858","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":372170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southern Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.0205078125,\n 69.19379976461904\n ],\n [\n -141.240234375,\n 71.91088787611527\n ],\n [\n -152.4462890625,\n 72.3157853052617\n ],\n [\n -159.4775390625,\n 72.71190310803662\n ],\n [\n -160.8837890625,\n 71.85622888185527\n ],\n [\n -159.5654296875,\n 70.48089578887483\n ],\n [\n -141.0205078125,\n 69.19379976461904\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Terrie M.","contributorId":191735,"corporation":false,"usgs":false,"family":"Williams","given":"Terrie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206094,"text":"sir20195121 - 2019 - Simulated water-table and pond-level responses to proposed public water-supply withdrawals in the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts","interactions":[],"lastModifiedDate":"2019-12-19T13:54:34","indexId":"sir20195121","displayToPublicDate":"2019-12-18T11:45:00","publicationYear":"2019","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":"2019-5121","displayTitle":"Simulated Water-Table and Pond-Level Responses to Proposed Public Water-Supply Withdrawals in the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts","title":"Simulated water-table and pond-level responses to proposed public water-supply withdrawals in the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts","docAbstract":"

The glacial kettle ponds in the Hyannis Ponds Wildlife Management Area in Barnstable, Massachusetts, support a community of rare and endangered plants. The ponds are hydraulically connected to the unconfined aquifer that underlies Cape Cod. The plants are adapted to the rise and fall of water levels in the ponds as the water table fluctuates in response to seasonal and year-to-year natural changes in recharge. Pumping from wells for public water supply and recharge of wastewater at water pollution control facilities and septic systems also affect groundwater levels. The Hyannis Water System has proposed to install two additional wells in the Hyannis Ponds Wildlife Management Area and adjust rates of withdrawals and recharge of wastewater return flows for the municipal system that serves the village of Hyannis in the town of Barnstable. The proposal has raised concerns that pumping from the proposed wells could cause long-term average changes in pond levels that could adversely affect the critical pond-shore plant habitat.

An available three-dimensional steady-state groundwater-flow model was used to simulate the hydrologic effects of nine pumping and wastewater return-flow scenarios prepared by the Hyannis Water System. These effects were quantified by comparison of water levels simulated for the scenarios to water levels simulated for a reference condition based on 2015 withdrawal and wastewater return-flow rates. Maps of water-level responses were prepared to show the effects of pumping from a single well at different locations in the Hyannis Ponds Wildlife Management Area on the water levels of six ponds. Steady-state simulations of the nine scenarios indicated that the shapes of the simulated water-table contours near the wildlife management area changed only slightly at the regional scale, with the largest shifts near the wildlife management area and the Barnstable Water Pollution Control Facility. The simulated changes in pond levels at 10 ponds of interest for the nine scenarios relative to the simulated pond levels for the 2015 reference condition ranged from small increases (less than 0.1 foot) in one pond each in two scenarios to declines (drawdowns) of 1.03–1.11 feet at three ponds in one scenario. Water levels at the Barnstable Water Pollution Control Facility increased because part of the increase in total withdrawals from the Hyannis Water System wells was recharged as wastewater at the water pollution control facility.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195121","collaboration":"Prepared in cooperation with the Town of Barnstable","usgsCitation":"LeBlanc, D.R., McCobb, T.D., and Barbaro, J.R., 2019, Simulated water-table and pond-level responses to proposed public water-supply withdrawals in the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2019–5121, 32 p., https://doi.org/10.3133/sir20195121.","productDescription":"Report: vii, 32 p.; Data Release","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-109032","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":370347,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5121/sir20195121.pdf","text":"Report","size":"3.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5121"},{"id":370346,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5121/coverthb.jpg"},{"id":370348,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U5AKLC","text":"USGS data release","linkHelpText":"MODFLOW2005 groundwater-flow model used to simulate water-supply pumping scenarios near the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts"}],"country":"United States","state":"Massachusetts","city":"Barnstable","otherGeospatial":"Hyannis Ponds Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.28074264526367,\n 41.67297593102651\n ],\n [\n -70.26091575622559,\n 41.67297593102651\n ],\n [\n -70.26091575622559,\n 41.68771986229327\n ],\n [\n -70.28074264526367,\n 41.68771986229327\n ],\n [\n -70.28074264526367,\n 41.67297593102651\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-12-18","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"LeBlanc, Denis R. 0000-0002-4646-2628","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":219907,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":773558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCobb, Timothy D. 0000-0003-1533-847X","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":219908,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":219909,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773560,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208322,"text":"70208322 - 2019 - Use of subsistence-harvested whale carcasses by polar bears in the southern Beaufort Sea","interactions":[],"lastModifiedDate":"2020-02-04T11:35:19","indexId":"70208322","displayToPublicDate":"2019-12-18T11:33:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Use of subsistence-harvested whale carcasses by polar bears in the southern Beaufort Sea","docAbstract":"The availability of a food subsidy has the potential to influence the condition, behavior, fitness, and population dynamics of a species. Since the early 2000s, monitoring efforts along the coast of northern Alaska indicated a higher proportion of polar bears (Ursus maritimus) of the southern Beaufort Sea (SB) subpopulation come onshore and feed at subsistence-harvested bowhead whale (Balaena mysticetus) carcasses during the fall and early winter seasons. This increase in onshore usage by polar bears is a consequence of decreasing sea ice coverage. Concurrently, Indigenous communities annually hunt bowhead whale and deposit the unused remains at localized “bone piles” creating the potential for human-bear interactions. Our objective was to determine the annual number of polar bears feeding at the bone pile near Kaktovik, Alaska. Using a hair snag surrounding the bone pile, we collected hair samples to identify individual bears via microsatellite genotypes during 2011-2014. We used capture-mark-recapture data in the POPAN open-population model to estimate the number of bears visiting the bone pile. We estimated that 146 (SE = 21) bears (sexes combined) used the bone pile in 2012, which represents approximately 16% of the SB polar bear subpopulation. Our results indicated that numerous SB polar bears, males and females, visited the bone pile within a given year. Thus, it will be important to monitor the number of bears using the bone pile and subsequent human-bear interactions and conflicts along the northern coast of Alaska. This is particularly important if polar sea ice continues to recede, which will likely result in increasing numbers of polar bears using the bone pile as a food subsidy.","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic69449","usgsCitation":"Lillie, K.M., Gese, E.M., Atwood, T.C., and Conner, M.M., 2019, Use of subsistence-harvested whale carcasses by polar bears in the southern Beaufort Sea: Arctic, v. 72, no. 4, p. 337-484, https://doi.org/10.14430/arctic69449.","productDescription":"148 p.","startPage":"337","endPage":"484","ipdsId":"IP-099187","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":458930,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic69449","text":"Publisher Index Page"},{"id":437256,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78G8HX8","text":"USGS data release","linkHelpText":"Polar Bear Microsatellite Data Southern Beaufort Sea 2010-2013"},{"id":372009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Southern Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.455078125,\n 70.31873847853124\n ],\n [\n -140.9765625,\n 68.52823492039876\n ],\n [\n -140.888671875,\n 70.49557354093136\n ],\n [\n -158.466796875,\n 72.04683989379397\n ],\n [\n -161.455078125,\n 70.31873847853124\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lillie, Kate M","contributorId":222150,"corporation":false,"usgs":false,"family":"Lillie","given":"Kate","email":"","middleInitial":"M","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":781408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gese, Eric M","contributorId":222151,"corporation":false,"usgs":false,"family":"Gese","given":"Eric","email":"","middleInitial":"M","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":781409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, Mary M","contributorId":222152,"corporation":false,"usgs":false,"family":"Conner","given":"Mary","email":"","middleInitial":"M","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":781410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216113,"text":"70216113 - 2019 - Illuminating subduction zone rheological properties in the wake of a giant earthquake","interactions":[],"lastModifiedDate":"2021-04-14T14:01:07.982301","indexId":"70216113","displayToPublicDate":"2019-12-18T08:54:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Illuminating subduction zone rheological properties in the wake of a giant earthquake","docAbstract":"

Deformation associated with plate convergence at subduction zones is accommodated by a complex system involving fault slip and viscoelastic flow. These processes have proven difficult to disentangle. The 2010 Mw 8.8 Maule earthquake occurred close to the Chilean coast within a dense network of continuously recording Global Positioning System stations, which provide a comprehensive history of surface strain. We use these data to assemble a detailed picture of a structurally controlled megathrust fault frictional patchwork and the three-dimensional rheological and time-dependent viscosity structure of the lower crust and upper mantle, all of which control the relative importance of afterslip and viscoelastic relaxation during postseismic deformation. These results enhance our understanding of subduction dynamics including the interplay of localized and distributed deformation during the subduction zone earthquake cycle.

","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aax6720","usgsCitation":"Weiss, J., Qiu, Q., Barbot, S., Wright, T.J., Foster, J.H., Saunders, A., Brooks, B.A., Bevis, M., Kendrick, E., Ericksen, T., Avery, J., Smalley, R., Cimbaro, S.R., Lenzano, L.E., Baron, J., Báez, J., and Echalar, A., 2019, Illuminating subduction zone rheological properties in the wake of a giant earthquake: Science Advances, v. 5, no. 12, eaax6720, 12 p., https://doi.org/10.1126/sciadv.aax6720.","productDescription":"eaax6720, 12 p.","ipdsId":"IP-106773","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":458931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aax6720","text":"Publisher Index Page"},{"id":385090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weiss, Jonathan","contributorId":244549,"corporation":false,"usgs":false,"family":"Weiss","given":"Jonathan","affiliations":[{"id":48936,"text":"COMET, School of Earth and Environment, University of Leeds, UK","active":true,"usgs":false}],"preferred":false,"id":804155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qiu, Qiang","contributorId":244550,"corporation":false,"usgs":false,"family":"Qiu","given":"Qiang","email":"","affiliations":[{"id":48937,"text":"Earth Observatory of Singapore, Nanyang Technological University, Singapore","active":true,"usgs":false}],"preferred":false,"id":804156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbot, Sylvain","contributorId":244551,"corporation":false,"usgs":false,"family":"Barbot","given":"Sylvain","affiliations":[{"id":48938,"text":"Department of Earth Sciences, University of Southern California, Los Angeles, CA, USA","active":true,"usgs":false}],"preferred":false,"id":804157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Tim J.","contributorId":244552,"corporation":false,"usgs":false,"family":"Wright","given":"Tim","email":"","middleInitial":"J.","affiliations":[{"id":48936,"text":"COMET, School of Earth and Environment, University of Leeds, UK","active":true,"usgs":false}],"preferred":false,"id":804158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, James H.","contributorId":244553,"corporation":false,"usgs":false,"family":"Foster","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":48939,"text":"Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa, HI, USA","active":true,"usgs":false}],"preferred":false,"id":804159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saunders, Alexander","contributorId":244554,"corporation":false,"usgs":false,"family":"Saunders","given":"Alexander","email":"","affiliations":[{"id":48936,"text":"COMET, School of Earth and Environment, University of Leeds, UK","active":true,"usgs":false}],"preferred":false,"id":804160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":804161,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bevis, Michael","contributorId":244555,"corporation":false,"usgs":false,"family":"Bevis","given":"Michael","affiliations":[{"id":48940,"text":"School of Earth Sciences, Ohio State University, Columbus, OH, USA","active":true,"usgs":false}],"preferred":false,"id":804162,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kendrick, Eric","contributorId":244556,"corporation":false,"usgs":false,"family":"Kendrick","given":"Eric","email":"","affiliations":[{"id":48940,"text":"School of Earth Sciences, Ohio State University, Columbus, OH, USA","active":true,"usgs":false}],"preferred":false,"id":804163,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ericksen, Todd 0000-0001-9340-575X tericksen@usgs.gov","orcid":"https://orcid.org/0000-0001-9340-575X","contributorId":198145,"corporation":false,"usgs":true,"family":"Ericksen","given":"Todd","email":"tericksen@usgs.gov","affiliations":[],"preferred":true,"id":814239,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Avery, Jonathan","contributorId":244557,"corporation":false,"usgs":false,"family":"Avery","given":"Jonathan","email":"","affiliations":[{"id":48939,"text":"Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa, HI, USA","active":true,"usgs":false}],"preferred":false,"id":804164,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalley, Robert Jr.","contributorId":244558,"corporation":false,"usgs":false,"family":"Smalley","given":"Robert","suffix":"Jr.","email":"","affiliations":[{"id":48941,"text":"Center for Earthquake Research and Information, University of Memphis, Memphis, TN, USA","active":true,"usgs":false}],"preferred":false,"id":804165,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cimbaro, Sergio R.","contributorId":244559,"corporation":false,"usgs":false,"family":"Cimbaro","given":"Sergio","email":"","middleInitial":"R.","affiliations":[{"id":48942,"text":"Dirección de Geodesia, Instituto Geográfico Nacional, Buenos Aires, Argentina","active":true,"usgs":false}],"preferred":false,"id":804166,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lenzano, Luis E.","contributorId":244560,"corporation":false,"usgs":false,"family":"Lenzano","given":"Luis","email":"","middleInitial":"E.","affiliations":[{"id":48943,"text":"International Center for Earth Sciences, Universidad Nacional de Cuyo, Mendoza, Argentina","active":true,"usgs":false}],"preferred":false,"id":804167,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Baron, Jorge","contributorId":244561,"corporation":false,"usgs":false,"family":"Baron","given":"Jorge","email":"","affiliations":[{"id":48943,"text":"International Center for Earth Sciences, Universidad Nacional de Cuyo, Mendoza, Argentina","active":true,"usgs":false}],"preferred":false,"id":804168,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Báez, Juan Carlos","contributorId":244562,"corporation":false,"usgs":false,"family":"Báez","given":"Juan Carlos","affiliations":[{"id":48944,"text":"Centro Sismilógico Nacional, Universidad de Chile, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":804169,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Echalar, Arturo","contributorId":244563,"corporation":false,"usgs":false,"family":"Echalar","given":"Arturo","email":"","affiliations":[{"id":48945,"text":"Instituto Geográfico Militar, La Paz, Bolivia","active":true,"usgs":false}],"preferred":false,"id":804170,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70207535,"text":"70207535 - 2019 - Influence of turbulence and in-stream structures on the transport and survival of grass carp eggs and larvae at various developmental stages","interactions":[],"lastModifiedDate":"2019-12-23T07:41:05","indexId":"70207535","displayToPublicDate":"2019-12-18T07:38:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Influence of turbulence and in-stream structures on the transport and survival of grass carp eggs and larvae at various developmental stages","docAbstract":"Understanding the response of grass carp to flow and turbulence regimes during early life stages is fundamental to monitoring and controlling their spread. A comprehensive set of hydrodynamic experiments was conducted with live grass carp eggs and larvae, to better understand their drifting and swimming patterns with 3 different in-stream obstructions: (1) a gravel bump, (2) a single cylinder, and (3) submerged vegetation. The hydrodynamic behavior of eggs and larvae with each obstruction was continuously monitored for about 85 consecutive hours. Transient spatial distributions of the locations of eggs and larvae throughout the water column were generated for each flow scenario. Results show that the active swimming capabilities of larvae allow them to seek areas of low turbulence and low shear stresses, and that eggs are susceptible to damage by high levels of turbulence, which was further corroborated with tests in an oscillating grid-stirred turbulence tank. Our study seeks to better inform field collection of grass carp during early life stages, and to guide the design of alternative approaches to control the dispersal of this invasive species in North America.","language":"English","publisher":"Springer","doi":"10.1007/s00027-019-0689-1","usgsCitation":"Prada, A.F., George, A.E., Stahlschmidt, B.H., Jackson, P.R., Chapman, D., and Tinoco, R.O., 2019, Influence of turbulence and in-stream structures on the transport and survival of grass carp eggs and larvae at various developmental stages: Aquatic Sciences, v. 82, no. 1, 16, 16 p., https://doi.org/10.1007/s00027-019-0689-1.","productDescription":"16, 16 p.","ipdsId":"IP-108300","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":458934,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00027-019-0689-1","text":"Publisher Index Page"},{"id":437257,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P926SZLN","text":"USGS data release","linkHelpText":"Survival and hydrodynamic behavior of grass carp eggs and larvae in relation to turbulence and in-stream obstructions"},{"id":370628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Prada, Andres F.","contributorId":211778,"corporation":false,"usgs":false,"family":"Prada","given":"Andres","email":"","middleInitial":"F.","affiliations":[{"id":38317,"text":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":778365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":778364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":778366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":778368,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tinoco, Rafael O.","contributorId":211779,"corporation":false,"usgs":false,"family":"Tinoco","given":"Rafael","email":"","middleInitial":"O.","affiliations":[{"id":38317,"text":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":778369,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227290,"text":"70227290 - 2019 - Fossilized diatoms of siliceous hydrothermal deposits in Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2022-01-07T13:14:23.071853","indexId":"70227290","displayToPublicDate":"2019-12-18T07:07:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1388,"text":"Diatom Research","active":true,"publicationSubtype":{"id":10}},"title":"Fossilized diatoms of siliceous hydrothermal deposits in Yellowstone National Park, USA","docAbstract":"

The study of eukaryotic extremophiles is relatively novel, and, therefore, documentation of the structure and function of micro-organisms in continental hydrothermal systems globally is limited. In this study, we investigate fossil diatoms in siliceous hydrothermal deposits of the Upper Geyser and Yellowstone Lake hydrothermal basins in Yellowstone National Park, and utilize preserved diatom assemblages to infer local environmental conditions. Siliceous sinter from both the Upper Geyser Basin and Yellowstone Lake contains evidence of in-situ diatom growth within these environments. At Upper Geyser Basin, the assemblage consisted of species that could grow on moist siliceous sinter and was dominated by Rhopalodia gibberula. Diatom valves were found in various preservation states, ranging from nearly pristine to highly diagenetically altered. Diatoms collected from siliceous spires in Yellowstone Lake consisted largely of tychoplanktonic and benthic species that were almost certainly growing on the outside of the structure, with an assemblage indicative of relatively shallow, alkaline waters. What remains unclear without access to material for high-resolution dating is whether diatoms colonized the spires during hydrothermal activity or after activity ceased. Our results indicate that diatom frustules can, to some extent, survive alteration in low-temperature (<76°C) hydrothermal environments.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/0269249X.2019.1698466","usgsCitation":"Brown, S., Fritz, S., Morgan Morzel, L.A., and Shanks, W., 2019, Fossilized diatoms of siliceous hydrothermal deposits in Yellowstone National Park, USA: Diatom Research, v. 34, no. 4, p. 193-204, https://doi.org/10.1080/0269249X.2019.1698466.","productDescription":"12 p.","startPage":"193","endPage":"204","ipdsId":"IP-108931","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":394011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.09374999999999,\n 43.24520272203356\n ],\n [\n -108.599853515625,\n 43.24520272203356\n ],\n [\n -108.599853515625,\n 45.034714778688624\n ],\n [\n -111.09374999999999,\n 45.034714778688624\n ],\n [\n -111.09374999999999,\n 43.24520272203356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Sabrina","contributorId":270990,"corporation":false,"usgs":false,"family":"Brown","given":"Sabrina","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":830315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritz, Sherilyn","contributorId":270991,"corporation":false,"usgs":false,"family":"Fritz","given":"Sherilyn","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":830316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan Morzel, Lisa Ann 0000-0002-5460-8754","orcid":"https://orcid.org/0000-0002-5460-8754","contributorId":270992,"corporation":false,"usgs":true,"family":"Morgan Morzel","given":"Lisa","email":"","middleInitial":"Ann","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":830317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shanks, Wayne (Pat)","contributorId":240838,"corporation":false,"usgs":true,"family":"Shanks","given":"Wayne (Pat)","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":830318,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208582,"text":"70208582 - 2019 - Phosphorus runoff risk assessment in karstic regions of the U.S.","interactions":[],"lastModifiedDate":"2020-02-19T20:16:32","indexId":"70208582","displayToPublicDate":"2019-12-17T20:15:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5490,"text":"Agricultural & Environmental Letters","onlineIssn":"2471-9625","active":true,"publicationSubtype":{"id":10}},"title":"Phosphorus runoff risk assessment in karstic regions of the U.S.","docAbstract":"The Phosphorus (P) Index risk assessment tool has been widely adopted across the U.S. to identify and rank site vulnerability to P runoff as part of the Natural Resources Conservation Service (NRCS) nutrient management planning (NMP) process. However, limited success has been achieved in addressing the risk of P loss by subsurface flow pathways, despite its relative importance in certain areas of the U.S., particularly in those States dominated by karst terrain. Here we review how States with varying land areas classified as having karst features address the risk of P runoff during the NMP process. Indices adopted in Illinois and Indiana require setbacks (15 – 72 m widths) around surface karst features. The remaining States with karst, address the risk of P loss in NMP development rather than the application of a P Index. Given the spatially variable hydrogeologic properties of karst, technically rigorous field‐scale factors are unlikely to be developed in the near future.","language":"English","publisher":"Wiley","doi":"10.1002/ael2.20001","usgsCitation":"Sharpley, A.N., Hays, P.D., Daniels, M.B., and VanDevender, K.W., 2019, Phosphorus runoff risk assessment in karstic regions of the U.S.: Agricultural & Environmental Letters, v. 5, no. 1, e20001, 8 p., https://doi.org/10.1002/ael2.20001.","productDescription":"e20001, 8 p.","ipdsId":"IP-112871","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":458936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ael2.20001","text":"Publisher Index Page"},{"id":372432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharpley, Andrew N.","contributorId":189875,"corporation":false,"usgs":false,"family":"Sharpley","given":"Andrew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":782594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, Michael B. 0000-0002-6642-0812","orcid":"https://orcid.org/0000-0002-6642-0812","contributorId":222571,"corporation":false,"usgs":false,"family":"Daniels","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":782595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VanDevender, Karl W.","contributorId":222572,"corporation":false,"usgs":false,"family":"VanDevender","given":"Karl","email":"","middleInitial":"W.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":782596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206120,"text":"ofr20191096 - 2019 - User's guide for the national hydrography dataset plus (NHDPlus) high resolution","interactions":[{"subject":{"id":70206120,"text":"ofr20191096 - 2019 - User's guide for the national hydrography dataset plus (NHDPlus) high resolution","indexId":"ofr20191096","publicationYear":"2019","noYear":false,"displayTitle":"User’s Guide for the National Hydrography Dataset Plus (NHDPlus) High Resolution","title":"User's guide for the national hydrography dataset plus (NHDPlus) high resolution"},"predicate":"SUPERSEDED_BY","object":{"id":70271982,"text":"sir20255031 - 2025 - User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)","indexId":"sir20255031","publicationYear":"2025","noYear":false,"title":"User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)"},"id":1}],"supersededBy":{"id":70271982,"text":"sir20255031 - 2025 - User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)","indexId":"sir20255031","publicationYear":"2025","noYear":false,"title":"User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)"},"lastModifiedDate":"2025-09-30T17:34:15.087385","indexId":"ofr20191096","displayToPublicDate":"2019-12-17T13:55:00","publicationYear":"2019","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":"2019-1096","displayTitle":"User’s Guide for the National Hydrography Dataset Plus (NHDPlus) High Resolution","title":"User's guide for the national hydrography dataset plus (NHDPlus) high resolution","docAbstract":"

The National Hydrography Dataset Plus High Resolution (NHDPlus HR) is a scalable geospatial hydrography framework built from the High Resolution (1:24,000-scale or better) National Hydrography Dataset (NHD), nationally complete Watershed Boundary Dataset (WBD), and ⅓-arc-second (10-meter ground spacing) 3D Elevation Program (3DEP) digital elevation model (DEM) data. The NHDPlus HR brings modeling and assessment to a local neighborhood level while nesting seamlessly into the national context.

NHDPlus HR is modeled after the highly successful NHDPlus version 2 (NHDPlus V2). Like the NHDPlus V2, the NHDPlus HR includes data for a nationally seamless network of stream reaches, elevation-based catchment areas, flow surfaces, and value-added attributes that enhance stream-network navigation, analysis, and data display. Users will find that the NHDPlus HR, however, provides much greater detail. This User’s Guide is intended to provide necessary information and guidance in the use of NHDPlus HR data.

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Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

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2060","interactions":[],"lastModifiedDate":"2019-12-18T19:52:50","indexId":"sir20195107","displayToPublicDate":"2019-12-17T12:03:49","publicationYear":"2019","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":"2019-5107","displayTitle":"Determination of Study Reporting Limits for Pesticide Constituent Data for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project, 2004–2018—Part 1: National Water Quality Laboratory Schedules 2003, 2032, or 2033, and 2060","title":"Determination of study reporting limits for pesticide constituent data for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project, 2004–2018—Part 1: National Water Quality Schedules 2003, 2032, or 2033, and 2060","docAbstract":"

The California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) is a long-term cooperative project designed to assess the quality of groundwater resources used for public and domestic drinking water supplies in the State of California, to monitor and evaluate changes to that quality, to investigate the human and natural factors controlling water quality, and to improve the availability of comprehensive groundwater quality data and information. Between May 18, 2004, and May 3, 2018, the GAMA-PBP collected 3001 groundwater samples for analysis of pesticide constituents by the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL)(note that ‘pesticide constituents’ includes parent compounds and degradates). Of these samples, 2994 were analyzed for pesticide constituents on schedules 2003, 2032, or 2033 (65 to 84 constituents), and 840 were analyzed for pesticide constituents on schedule 2060 (58 constituents). The original dataset reported by the NWQL to the USGS National Water Information System (NWIS) database contained a total of 2,688 detections of 78 pesticide constituents and 253,825 non-detections. In this original dataset, 33 percent of the 3,001 samples analyzed had reported detections of one or more pesticide constituents.

This report describes the GAMA-PBP data-quality objectives for pesticide data, the procedures used to establish study reporting limits, and use of those reporting limits to censor the data from the NWQL so that the final data published by the GAMA-PBP meet these data-quality objectives. The final GAMA-PBP dataset for samples collected from May 2004 to May 2018, after censoring, had a total of 1,632 detections of 37 pesticide constituents. In the final GAMA-PBP dataset, 25 percent of the 3,001 samples analyzed had detections of one or more pesticide constituents.

The presence of pesticides in groundwater is commonly evaluated by calculating detection frequencies. Detection frequencies for pesticides are sensitive to detection limits and method performance for concentrations near those limits; therefore, the two primary data quality issues addressed in the GAMA-PBP data-quality objectives for pesticides are (1) establishing criteria for classifying data from the laboratory as detections or non-detections for the purpose of data reporting by the project and (2) accounting for changes in analytical methods or method performance over time. The GAMA-PBP addresses these issues by developing study reporting limits that are used as the boundary between detections and non-detections for the reporting of GAMA-PBP results. These reporting limits are defined from method detection limits (MDLs) provided by the NWQL, unless examination of results from laboratory set blanks (LSBs) and GAMA-PBP field blanks indicates that a higher concentration censoring limit is warranted. The GAMA-PBP selected the MDL as the primary choice for defining study reporting limits for consistency with U.S. Environmental Protection Agency (EPA) guidelines for reporting detections of pesticides and other organic constituents.

A five-step procedure is used to develop study reporting limits and censor the GAMA-PBP dataset accordingly. The effect of the censoring at each step is described to provide information about the relative effect of each step on the overall censoring of the dataset. Steps 1 and 2 can be implemented at the time the data are received, whereas steps 3−5 require information accumulated over an extended period.

As of 2019, the USGS NWIS database does not have the capability to store both the original value reported by the NWQL and the final value published by the GAMA-PBP that reflects application of the quality-control censoring described in this report. In the interim, while this capability is developed, the 1,031 results censored in steps 2−5 are blocked from public release in NWIS, and the GAMA-PBP has published the original and final values in a USGS data release accompanying this report. The entire GAMA-PBP final dataset for pesticide constituents on schedules 2003, 2032, or 2033, or on schedule 2060 is publicly available in that USGS data release, through the USGS GAMA-PBP public web portal, and through the California State Water Resources Control Board GAMA public groundwater information system.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195107","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Fram, M.S., and Stork, S.V., 2019, Determination of study reporting limits for pesticide constituent data for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project, 2004–2018—Part 1: National Water Quality Schedules 2003, 2032, or 2033, and 2060: U.S. Geological Survey Scientific Investigations Report 2019–5107, 129 p., https://doi.org/10.3133/sir20195107.","productDescription":"Report: viii, 129 p.; Dataset","numberOfPages":"129","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-101851","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":370195,"rank":3,"type":{"id":30,"text":"Data 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\"}}]}","contact":"

Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-12-17","noUsgsAuthors":false,"publicationDate":"2019-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stork, Sylvia V. 0000-0002-1994-5560 svstork@usgs.gov","orcid":"https://orcid.org/0000-0002-1994-5560","contributorId":5096,"corporation":false,"usgs":true,"family":"Stork","given":"Sylvia","email":"svstork@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":772851,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206598,"text":"pp1842Y - 2019 - The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii)","interactions":[{"subject":{"id":70206598,"text":"pp1842Y - 2019 - The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii)","indexId":"pp1842Y","publicationYear":"2019","noYear":false,"chapter":"Y","displayTitle":"The Effects of Management Practices on Grassland Birds—Thick-billed Longspur (Rhynchophanes mccownii)","title":"The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T21:26:07.204653","indexId":"pp1842Y","displayToPublicDate":"2019-12-17T10:27:12","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"Y","displayTitle":"The Effects of Management Practices on Grassland Birds—Thick-billed Longspur (Rhynchophanes mccownii)","title":"The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii)","docAbstract":"

The key to Thick-billed Longspur (Rhynchophanes mccownii) management is providing short, sparsely vegetated native grasslands of adequate size. Mixed-grass prairies can be made suitable for breeding Thick-billed Longspurs by implementing moderate-to-heavy or season-long grazing. Thick-billed Longspurs have been reported to use habitats with 5–42 centimeters (cm) average vegetation height, 3–7 cm visual obstruction reading, 15–67 percent grass cover, less than (<) 8 percent forb cover, <7 percent shrub cover, 2–60 percent bare ground, 10–63 percent litter cover, and <5 cm litter depth.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842Y","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Rabie, P.A., Wooten, T.L., and Euliss, B.R., 2019, The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii) (ver. 1.1, March 2022), chap. Y of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 10 p., https://doi.org/10.3133/pp1842Y.","productDescription":"iv, 10 p.","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-095144","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":370325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/y/coverthb2.jpg"},{"id":370326,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/y/pp1842y.pdf","text":"Report","size":"1.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–Y"},{"id":397826,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1842/y/versionhist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: December 17, 2019; Version 1.1: March 31, 2022","contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-12-17","revisedDate":"2022-03-31","noUsgsAuthors":false,"publicationDate":"2019-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":220515,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":220514,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":775099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":775100,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rabie, Paul A.","contributorId":210022,"corporation":false,"usgs":false,"family":"Rabie","given":"Paul A.","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":775101,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooten, Travis L.","contributorId":215633,"corporation":false,"usgs":false,"family":"Wooten","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":775102,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":775103,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70210921,"text":"70210921 - 2019 - Inactivation of viable surrogates for the select agents virulent Newcastle disease virus and highly pathogenic avian influenza virus using either commercial lysis buffer or heat","interactions":[],"lastModifiedDate":"2020-07-03T14:07:41.942112","indexId":"70210921","displayToPublicDate":"2019-12-17T09:05:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5970,"text":"Applied Biosafety","active":true,"publicationSubtype":{"id":10}},"title":"Inactivation of viable surrogates for the select agents virulent Newcastle disease virus and highly pathogenic avian influenza virus using either commercial lysis buffer or heat","docAbstract":"

Introduction:

Federal Select Agent Program regulations require laboratories to document a validated procedure for inactivating select agents prior to movement outside registered space. Avian influenza viruses and virulent Newcastle disease virus (vNDV) are cultured in chicken amnio-allantoic fluid (AAF), but the efficacy of commercial lysis buffers to inactivate viruses in protein-rich media has not been documented.

Objectives:

We assesses the efficacy of MagMAX™ lysis buffer for inactivating highly pathogenic avian influenza virus (HPAIV) and vNDV in chicken AAF and confirm the inactivation of avian influenza in serum using heat.

Methods:

Low pathogenic avian influenza virus (LPAIV) and avian paramyxovirus subtype-1 (APMV-1) were incubated with lysis buffer and tested for viability. Known viable LPAIV and APMV-1 RNA was extracted from AAF using MagMAX™-96 AI/ND Viral RNA Isolation kit, and the eluate was tested for remaining infectious agent. Finally, inactivation of LPAIV in serum was examined over 3 combinations of temperature and incubation time.

Results:

MagMAX™ lysis buffer inactivated both LPAIV and APMV-1 in AAF when incubated for 30 minutes at room temperature. The full extraction process eliminated viable virus from the final RNA eluate. LPAIV in serum heated to 70°C for 30 minutes was rendered noninfectious.

Conclusion:

The ability of a diagnostic laboratory to move samples from one space to another is critical to maintaining biosecurity as well as efficient laboratory workflow. Our study demonstrates a method to ensure the inactivation of viable avian influenza and avian paramyxoviruses in AAF, RNA eluate, and viable avian influenza virus in sera.

","language":"English","publisher":"Sage","doi":"10.1177/1535676019888920","usgsCitation":"Alger, K.E., Ip, S., Hall, J.S., Nashold, S., Richgels, K., and Smith, C.A., 2019, Inactivation of viable surrogates for the select agents virulent Newcastle disease virus and highly pathogenic avian influenza virus using either commercial lysis buffer or heat: Applied Biosafety, v. 24, no. 4, p. 189-199, https://doi.org/10.1177/1535676019888920.","productDescription":"11 p.","startPage":"189","endPage":"199","ipdsId":"IP-111927","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":458939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/1535676019888920","text":"Publisher Index Page"},{"id":376121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Alger, Katrina E. 0000-0001-7708-0203","orcid":"https://orcid.org/0000-0001-7708-0203","contributorId":228815,"corporation":false,"usgs":true,"family":"Alger","given":"Katrina","email":"","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nashold, Sean 0000-0002-8869-6633","orcid":"https://orcid.org/0000-0002-8869-6633","contributorId":214978,"corporation":false,"usgs":true,"family":"Nashold","given":"Sean","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792146,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Carrie Alison 0000-0002-2684-3407","orcid":"https://orcid.org/0000-0002-2684-3407","contributorId":228816,"corporation":false,"usgs":true,"family":"Smith","given":"Carrie","email":"","middleInitial":"Alison","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792147,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215093,"text":"70215093 - 2019 - Migrating bison engineer the green wave","interactions":[],"lastModifiedDate":"2020-10-08T13:43:07.595505","indexId":"70215093","displayToPublicDate":"2019-12-17T08:40:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Migrating bison engineer the green wave","docAbstract":"

Newly emerging plants provide the best forage for herbivores. To exploit this fleeting resource, migrating herbivores align their movements to surf the wave of spring green-up. With new technology to track migrating animals, the Green Wave Hypothesis has steadily gained empirical support across a diversity of migratory taxa. This hypothesis assumes the green wave is controlled by variation in climate, weather, and topography, and its progression dictates the timing, pace, and extent of migrations. However, aggregate grazers that are also capable of engineering grassland ecosystems make some of the world’s most impressive migrations, and it is unclear how the green wave determines their movements. Here we show that Yellowstone’s bison (Bison bison) do not choreograph their migratory movements to the wave of spring green-up. Instead, bison modify the green wave as they migrate and graze. While most bison surfed during early spring, they eventually slowed and let the green wave pass them by. However, small-scale experiments indicated that feedback from grazing sustained forage quality. Most importantly, a 6-fold decadal shift in bison density revealed that intense grazing caused grasslands to green up faster, more intensely, and for a longer duration. Our finding broadens our understanding of the ways in which animal movements underpin the foraging benefit of migration. The widely accepted Green Wave Hypothesis needs to be revised to include large aggregate grazers that not only move to find forage, but also engineer plant phenology through grazing, thereby shaping their own migratory movements.

","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1913783116","usgsCitation":"Geremia, C., Merkle, J., Eacker, D.R., Wallen, R.L., White, P.J., Hebblewhite, M., and Kauffman, M., 2019, Migrating bison engineer the green wave: Proceedings of the National Academy of Sciences of the United States of America, v. 116, no. 51, p. 25707-25713, https://doi.org/10.1073/pnas.1913783116.","productDescription":"7 p.","startPage":"25707","endPage":"25713","ipdsId":"IP-106984","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1913783116","text":"Publisher Index Page"},{"id":379227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.082763671875,\n 42.85985981506279\n ],\n [\n -108.83056640625,\n 42.85985981506279\n ],\n [\n -108.83056640625,\n 44.99588261816546\n ],\n [\n -111.082763671875,\n 44.99588261816546\n ],\n [\n -111.082763671875,\n 42.85985981506279\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"51","noUsgsAuthors":false,"publicationDate":"2019-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Geremia, Chris","contributorId":167003,"corporation":false,"usgs":false,"family":"Geremia","given":"Chris","email":"","affiliations":[],"preferred":false,"id":800813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":800814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eacker, Daniel R.","contributorId":189250,"corporation":false,"usgs":false,"family":"Eacker","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":800815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallen, Rick L.","contributorId":169529,"corporation":false,"usgs":false,"family":"Wallen","given":"Rick","email":"","middleInitial":"L.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":800816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, P. J.","contributorId":242797,"corporation":false,"usgs":false,"family":"White","given":"P.","email":"","middleInitial":"J.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":800817,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hebblewhite, Mark","contributorId":190188,"corporation":false,"usgs":false,"family":"Hebblewhite","given":"Mark","email":"","affiliations":[],"preferred":false,"id":800818,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":800819,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70212607,"text":"70212607 - 2019 - Simulating land cover change impacts on groundwater recharge under selected climate projections, Maui, Hawaiʻi","interactions":[],"lastModifiedDate":"2020-08-24T13:35:16.949522","indexId":"70212607","displayToPublicDate":"2019-12-17T08:30:15","publicationYear":"2019","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":"Simulating land cover change impacts on groundwater recharge under selected climate projections, Maui, Hawaiʻi","docAbstract":"
This project developed an integrated land cover/hydrological modeling framework using remote sensing and geographic information systems (GIS) data, stakeholder input, climate information and projections, and empirical data to estimate future groundwater recharge on the Island of Maui, Hawaiʻi, USA. End-of-century mean annual groundwater recharge was estimated under four future land cover scenarios: Future 1 (conservation-focused), Future 2 (status-quo), Future 3 (development-focused), and Future 4 (balanced conservation and development), and two downscaled climate projections: a coupled model intercomparison project (CMIP) phase 5 (CMIP5) representative concentration pathway (RCP) 8.5 “dry climate” future and a CMIP3 A1B “wet climate” future. Results were compared to recharge estimated using the 2017 baseline land cover to understand how changing land management and climate could influence groundwater recharge. Estimated recharge increased island-wide under all future land cover and climate combinations and was dominated by specific land cover transitions. For the dry future climate, recharge for land cover Futures 1 to 4 increased by 12%, 0.7%, 0.01%, and 11% relative to 2017 land cover conditions, respectively. Corresponding increases under the wet future climate were 10%, 0.9%, 0.6%, and 9.3%. Conversion from fallow/grassland to diversified agriculture increased irrigation, and therefore recharge. Above the cloud zone (610 m), conversion from grassland to native or alien forest led to increased fog interception, which increased recharge. The greatest changes to recharge occurred in Futures 1 and 4 in areas where irrigation increased, and where forest expanded within the cloud zone. Furthermore, new future urban expansion is currently slated for coastal areas that are already water-stressed and had low recharge projections. This study demonstrated that a spatially-explicit scenario planning process and modeling framework can communicate the possible consequences and tradeoffs of land cover change under a changing climate, and the outputs from this study serve as relevant tools for landscape-level management and interventions. 
","language":"English","publisher":"MDPI","doi":"10.3390/rs11243048","usgsCitation":"Brewington, L., Keener, V., and Mair, A., 2019, Simulating land cover change impacts on groundwater recharge under selected climate projections, Maui, Hawaiʻi: Remote Sensing, v. 11, no. 24, 3048, 23 p., https://doi.org/10.3390/rs11243048.","productDescription":"3048, 23 p.","ipdsId":"IP-114153","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":458944,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11243048","text":"Publisher Index Page"},{"id":437258,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P976IWWS","text":"USGS data release","linkHelpText":"Mean annual water-budget components for the Island of Maui, Hawaii, for a set of eight future climate and land-cover scenarios"},{"id":377781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.70074462890625,\n 20.53507732696281\n ],\n [\n -155.9454345703125,\n 20.53507732696281\n ],\n [\n -155.9454345703125,\n 21.099875492701216\n ],\n [\n -156.70074462890625,\n 21.099875492701216\n ],\n [\n -156.70074462890625,\n 20.53507732696281\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"24","noUsgsAuthors":false,"publicationDate":"2019-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewington, Laura","contributorId":239493,"corporation":false,"usgs":false,"family":"Brewington","given":"Laura","email":"","affiliations":[{"id":13398,"text":"East-West Center","active":true,"usgs":false}],"preferred":false,"id":797066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keener, Victoria","contributorId":212170,"corporation":false,"usgs":false,"family":"Keener","given":"Victoria","affiliations":[{"id":38447,"text":"East-West Center, Honolulu, Hawai`i","active":true,"usgs":false}],"preferred":false,"id":797067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mair, Alan 0000-0003-0302-6647 dmair@usgs.gov","orcid":"https://orcid.org/0000-0003-0302-6647","contributorId":4975,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","email":"dmair@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797068,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70207441,"text":"70207441 - 2019 - Ecological effects of establishing a 40-year oasis protection system in a Northwestern China Desert","interactions":[],"lastModifiedDate":"2019-12-19T13:19:31","indexId":"70207441","displayToPublicDate":"2019-12-16T13:17:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Ecological effects of establishing a 40-year oasis protection system in a Northwestern China Desert","docAbstract":"Aims: Desertification around oasis areas is a serious problem in semi-arid and arid regions, which is expected to continue into the future due to a rapidly increasing human population. Oasis protection systems are created to reverse desertification by recovering degraded soil and vegetation properties and improving ecosystem services. Most research has focused on the short-term effects of a single restoration practice using an individual vegetation or soil metric, while more complete assessments along a gradient of an entire oasis protection system have seldom been studied. In this study, soil and vegetation properties were measured along a 40-year oasis-protection system to assess the effectiveness of increasing land protection belts along a gradient from prohibiting grazing, to fencing shrubland, to establishing shrub- and tree-plantations in northwestern China. \nMethods: Three sites in each belt of the oasis-protection system were selected to measure soil texture, soil organic carbon, total nitrogen, total phosphorus, pH, electrical conductivity, and eight ions under the plant canopy and in the inter-canopy area, as well as to investigate plant community composition, diversity and productivity. Wind velocity and sand transportation rates were measured in each of the five belts during storm events.\nResults: Compared with shifting dunes in unprotected desert settings, the wind velocity and sand transportation rate decreased by 75 and 98%, respectively, when spring storms passed through the most protected plantation belts in the oasis system. Soil organic carbon, total nitrogen, total phosphorus significantly increased, along with the silt and clay contents, across the protection gradient, and reached their highest levels at the shrub- and tree-plantation belts. Similarly, the density, cover, and biomass of herbaceous plants also increased along the gradient. Despite these positive effects, there was a significant increase in soil salinity, sodicity, and desiccation at the shrub- and tree-plantation belts, which may negatively affect the future sustainability of the oasis-protection system under a predicted future drier and warming climate. \nConclusions Although shrub and tree plantations improve soil fertility and favor the development of the herbaceous plant community, their environmental consequences (i.e., soil salinization and desiccation) need to be evaluated in the context of ecosystem restoration over the long-term, especially in arid regions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2019.104374","usgsCitation":"Wang, G., Munson, S.M., Yu, K., Chen, N., and Gou, Q., 2019, Ecological effects of establishing a 40-year oasis protection system in a Northwestern China Desert: Catena, v. 187, 104374, 13 p., https://doi.org/10.1016/j.catena.2019.104374.","productDescription":"104374, 13 p.","ipdsId":"IP-108327","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.catena.2019.104374","text":"Publisher Index Page"},{"id":370500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 87.1875,\n 30.14512718337613\n ],\n [\n 114.60937499999999,\n 42.293564192170095\n ],\n [\n 107.75390625,\n 45.336701909968134\n ],\n [\n 95.2734375,\n 45.336701909968134\n ],\n [\n 81.38671875,\n 43.32517767999296\n ],\n [\n 72.59765625,\n 40.17887331434696\n ],\n [\n 74.00390625,\n 36.73888412439431\n ],\n [\n 79.62890625,\n 31.052933985705163\n ],\n [\n 83.3203125,\n 28.613459424004414\n ],\n [\n 87.1875,\n 30.14512718337613\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Guohua","contributorId":221397,"corporation":false,"usgs":false,"family":"Wang","given":"Guohua","email":"","affiliations":[{"id":40361,"text":"(1) College of Geographical Sciences, Shanxi Normal University, Linfen 041004, China; (2) Linze Inland River Basin Research Station, Chinese Academy of Science, Lanzhou 730000, China","active":true,"usgs":false}],"preferred":false,"id":778046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":778047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Kailiang","contributorId":221398,"corporation":false,"usgs":false,"family":"Yu","given":"Kailiang","email":"","affiliations":[{"id":40362,"text":"Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA","active":true,"usgs":false}],"preferred":false,"id":778048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Ning","contributorId":221399,"corporation":false,"usgs":false,"family":"Chen","given":"Ning","email":"","affiliations":[{"id":40363,"text":"College of Life Sciences, Lanzhou University, Lanzhou 730000, China","active":true,"usgs":false}],"preferred":false,"id":778049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gou, Qianqian","contributorId":221400,"corporation":false,"usgs":false,"family":"Gou","given":"Qianqian","email":"","affiliations":[{"id":40364,"text":"College of Geographical Sciences, Shanxi Normal University, Linfen 041004, China","active":true,"usgs":false}],"preferred":false,"id":778050,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70225713,"text":"70225713 - 2019 - Deglacial water-table decline in Southern California recorded by noble gas isotopes","interactions":[],"lastModifiedDate":"2021-11-04T14:08:30.778075","indexId":"70225713","displayToPublicDate":"2019-12-16T09:04:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Deglacial water-table decline in Southern California recorded by noble gas isotopes","docAbstract":"

Constraining the magnitude of past hydrological change may improve understanding and predictions of future shifts in water availability. Here we demonstrate that water-table depth, a sensitive indicator of hydroclimate, can be quantitatively reconstructed using Kr and Xe isotopes in groundwater. We present the first-ever measurements of these dissolved noble gas isotopes in groundwater at high precision (≤0.005‰ amu−1; 1σ), which reveal depth-proportional signals set by gravitational settling in soil air at the time of recharge. Analyses of California groundwater successfully reproduce modern groundwater levels and indicate a 17.9 ± 1.3 m (±1 SE) decline in water-table depth in Southern California during the last deglaciation. This hydroclimatic transition from the wetter glacial period to more arid Holocene accompanies a surface warming of 6.2 ± 0.6 °C (±1 SE). This new hydroclimate proxy builds upon an existing paleo-temperature application of noble gases and may identify regions prone to future hydrological change.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-019-13693-2","usgsCitation":"Seltzer, A.M., Ng, J., Danskin, W.R., Kulongoski, J.T., Gannon, R., Stute, M., and Severinghaus, J.P., 2019, Deglacial water-table decline in Southern California recorded by noble gas isotopes: Nature Communications, v. 10, 5739, 6 p., https://doi.org/10.1038/s41467-019-13693-2.","productDescription":"5739, 6 p.","ipdsId":"IP-108743","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":458949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-13693-2","text":"Publisher Index Page"},{"id":391384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Diego","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.44384765625,\n 32.56996256044998\n ],\n [\n -116.663818359375,\n 32.56996256044998\n ],\n [\n -116.663818359375,\n 32.99484290420988\n ],\n [\n -117.44384765625,\n 32.99484290420988\n ],\n [\n -117.44384765625,\n 32.56996256044998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2019-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Seltzer, Alan M.","contributorId":192321,"corporation":false,"usgs":false,"family":"Seltzer","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":826385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ng, Jessica","contributorId":268304,"corporation":false,"usgs":false,"family":"Ng","given":"Jessica","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":826386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danskin, Wesley R. 0000-0001-8672-5501 wdanskin@usgs.gov","orcid":"https://orcid.org/0000-0001-8672-5501","contributorId":1034,"corporation":false,"usgs":true,"family":"Danskin","given":"Wesley","email":"wdanskin@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gannon, Riley 0000-0002-1239-1083","orcid":"https://orcid.org/0000-0002-1239-1083","contributorId":205967,"corporation":false,"usgs":true,"family":"Gannon","given":"Riley","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stute, Martin","contributorId":131127,"corporation":false,"usgs":false,"family":"Stute","given":"Martin","email":"","affiliations":[{"id":7254,"text":"Columbia University - Lamont Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":826390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Severinghaus, Jeffery P. 0000-0001-8883-3119","orcid":"https://orcid.org/0000-0001-8883-3119","contributorId":268306,"corporation":false,"usgs":false,"family":"Severinghaus","given":"Jeffery","email":"","middleInitial":"P.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":826391,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228351,"text":"70228351 - 2019 - Evaluation of Potential Translocation Sites for an Imperiled Cyprinid, theHornyhead Chub","interactions":[],"lastModifiedDate":"2022-02-09T23:58:16.272557","indexId":"70228351","displayToPublicDate":"2019-12-15T17:52:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of Potential Translocation Sites for an Imperiled Cyprinid, theHornyhead Chub","docAbstract":"

Translocation of isolated species into suitable habitats may help secure vulnerable, geographically limited species. Due to the decline of Wyoming Hornyhead Chub Nocomis biguttatus, conservation actions such as translocation of populations within the plausible historical range are being considered to improve population redundancy and resiliency to disturbance events. Translocation of Wyoming Hornyhead Chub must be rigorously evaluated because a hatchery stock does not exist, so all fish used in translocations will come from the wild population. We present an approach to identify best available translocation sites prior to translocation efforts taking place. We evaluated fish community composition and habitat conditions at 54 potential translocation sites for Hornyhead Chub within 12 streams of the North Platte River Basin of Wyoming. We used two analyses to identify translocation sites most similar to currently occupied Hornyhead Chub sites on the Laramie River: hurdle models to predict hypothetical abundance of Hornyhead Chub at translocation sites and non-metric multidimensional scaling (NMDS) with fish community and habitat conditions. Presence and abundance of Hornyhead Chub was related to lack of nonnative predators and habitat features characteristic of backwater and velocity refuge habitats. We used a rank scoring system to weight the outcomes of each analysis and the highest ranking translocation sites occurred at a historical locality, the Sweetwater River. Our approach may be appropriate for other at-risk species with isolated distributions and little historical data.

","language":"English","doi":"10.1002/nafm.10261","usgsCitation":"Hickerson, B.T., and Walters, A.W., 2019, Evaluation of Potential Translocation Sites for an Imperiled Cyprinid, theHornyhead Chub: Transactions of the American Fisheries Society, v. 39, p. 205-218, https://doi.org/10.1002/nafm.10261.","productDescription":"14 p.","startPage":"205","endPage":"218","ipdsId":"IP-098524","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Laramie River, North Platte River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.38635253906249,\n 41.970722347928096\n ],\n [\n -104.54315185546875,\n 41.970722347928096\n ],\n [\n -104.54315185546875,\n 42.20817645934742\n ],\n [\n -105.38635253906249,\n 42.20817645934742\n ],\n [\n -105.38635253906249,\n 41.970722347928096\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2019-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hickerson, Brian T.","contributorId":275272,"corporation":false,"usgs":false,"family":"Hickerson","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":833909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209359,"text":"70209359 - 2019 - Direct measurements of copper speciation in basaltic glasses: Understanding the relative roles of sulfur and oxygen in copper complexation in melts","interactions":[],"lastModifiedDate":"2020-04-03T14:44:31.515624","indexId":"70209359","displayToPublicDate":"2019-12-15T16:21:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Direct measurements of copper speciation in basaltic glasses: Understanding the relative roles of sulfur and oxygen in copper complexation in melts","docAbstract":"Micro-analytical determination of copper (Cu) speciation in natural magmatic glasses, equilibrated below the nickel – nickel oxide (NNO) buffer, reveals that two copper species are commonly stabilized in such basaltic melts. X-ray absorption fine structure (XAFS) spectroscopic analysis of basaltic matrix glasses and melt inclusions (MI) from samples of mid-ocean ridge basalt (MORB), and from Nyamuragira, Etna and Kīlauea volcanoes show that both Cu(I)-sulfide and Cu(I)-oxide species are stabilized. The proportion of each species correlates with the measured sulfur (S) abundance of the glass. In glasses with S abundances greater than ~1000 ppm, Cu(I)-sulfide species are dominant, whereas in glasses with S abundances between 500 and 1000 ppm, both species are found to coexist. The Cu(I)-oxide species dominate at S concentrations below 500 ppm. In 1 atm S-free experimental glasses of basaltic composition that we analyzed, only Cu(I)-oxide species are detectable, regardless of the oxygen fugacity (fO2), even at relatively high fO2 values well above the NNO buffer. Our results demonstrate that XAFS techniques are highly sensitive in measuring Cu speciation in reduced (below NNO) basaltic glasses and that both oxide and sulfide complexes can be stabilized. The relative proportion of these two species is highly dependent on the concentration of S in the melt, and thus the Cu speciation in natural melts changes as S is lost from the melt by low pressure degassing.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.09.029","collaboration":"","usgsCitation":"Lanzirotti, A., Lee, R., Head, E., Sutton, S.R., Newville, M., McCanta, M., Lerner, A., and Wallace, P.J., 2019, Direct measurements of copper speciation in basaltic glasses: Understanding the relative roles of sulfur and oxygen in copper complexation in melts: Geochimica et Cosmochimica Acta, v. 267, p. 164-178, https://doi.org/10.1016/j.gca.2019.09.029.","productDescription":"15 p.","startPage":"164","endPage":"178","ipdsId":"IP-111569","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1693600","text":"Publisher Index Page"},{"id":373740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Nyamuragira, Etna and Kīlauea volcanoes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.3034210205078,\n 19.3869432241507\n ],\n [\n -155.22926330566406,\n 19.3869432241507\n ],\n [\n -155.22926330566406,\n 19.445226820142476\n ],\n [\n -155.3034210205078,\n 19.445226820142476\n ],\n [\n -155.3034210205078,\n 19.3869432241507\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.19561767578125,\n 19.350667338738496\n ],\n [\n -155.11802673339844,\n 19.350667338738496\n ],\n [\n -155.11802673339844,\n 19.37657950943961\n ],\n [\n -155.19561767578125,\n 19.37657950943961\n ],\n [\n -155.19561767578125,\n 19.350667338738496\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"267","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lanzirotti, Antonio 0000-0002-7597-5924","orcid":"https://orcid.org/0000-0002-7597-5924","contributorId":223780,"corporation":false,"usgs":false,"family":"Lanzirotti","given":"Antonio","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":786293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":215133,"corporation":false,"usgs":true,"family":"Lee","given":"R. Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":786292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Head, Elisabet","contributorId":223781,"corporation":false,"usgs":false,"family":"Head","given":"Elisabet","email":"","affiliations":[{"id":40767,"text":"Northeastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":786294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, Stephen R","contributorId":223782,"corporation":false,"usgs":false,"family":"Sutton","given":"Stephen","email":"","middleInitial":"R","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":786295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newville, Matthew","contributorId":223783,"corporation":false,"usgs":false,"family":"Newville","given":"Matthew","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":786296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCanta, Molly","contributorId":223784,"corporation":false,"usgs":false,"family":"McCanta","given":"Molly","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":786297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lerner, Allan","contributorId":205264,"corporation":false,"usgs":false,"family":"Lerner","given":"Allan","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":786298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wallace, Paul J.","contributorId":199700,"corporation":false,"usgs":false,"family":"Wallace","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":786299,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215096,"text":"70215096 - 2019 - Time to branch out? Application of hierarchical survival models in plant phenology","interactions":[],"lastModifiedDate":"2020-10-08T11:54:37.37837","indexId":"70215096","displayToPublicDate":"2019-12-15T14:38:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Time to branch out? Application of hierarchical survival models in plant phenology","docAbstract":"The sensitivity of phenology to environmental drivers can vary across geography and species. As such, models developed to predict phenology are typically site- or taxon-specific. Generation of site- and taxon-specific models is limited by the intensive in-situ phenological monitoring effort required to generate sufficient data to parameterize each model. Where in-situ phenological observations exist, the data are often subject to analytical issues due to the limited duration of any individual monitoring program, spotty site- and species- level coverage, lack of standardized methodology, and infrequent or variable census intervals. Together, these characteristics constrain our ability to make phenological inferences outside of select sites and taxa where long-duration, intensive monitoring has occurred. In this study, we leveraged two national, standardized phenology datasets to develop a multi-species and multi-site state-space survival model of the onset of deciduous tree and shrub spring (leaf out) and fall (leaf-color) events across temperate ecoregions of the United States. We used data from two national-scale phenological databases, a 9-year, broadly distributed dataset from the USA National Phenology Network and a 4-year dataset from the National Ecological Observatory Network, to quantify regional and interspecific variation in sensitivity to environmental drivers for both spring and fall leaf phenophases. Spring leaf out was generally promoted by longer days, spring growing degree day accumulation, overwinter chilling, and was suppressed by frost events, whereas fall leaf color was promoted by shorter days and cold accumulation. The sensitivity to most environmental drivers tended to be more variable among species than among the regions as defined here (EPA ecoregions of North America, excluding desert and tropical areas). The results of this study lay the groundwork for incorporating the growing collection of phenological observations into a generalized framework for predicting the transition states for any species, in any location.","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2019.107694","usgsCitation":"Elmendorf, S., Crimmins, T., Gerst, K.L., and Weltzin, J., 2019, Time to branch out? 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No abstract available.

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