{"pageNumber":"753","pageRowStart":"18800","pageSize":"25","recordCount":184615,"records":[{"id":70204103,"text":"70204103 - 2019 - Exploring ends of eras in the eastern Mojave Desert: The road log","interactions":[],"lastModifiedDate":"2019-07-09T09:17:31","indexId":"70204103","displayToPublicDate":"2019-04-01T09:13:22","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring ends of eras in the eastern Mojave Desert: The road log","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"Desert Symposium Inc.","usgsCitation":"Miller, D., Spaulding, G., Reynolds, R., Calzia, J., Wells, M., Fleck, R.J., and Baltzer, S., 2019, Exploring ends of eras in the eastern Mojave Desert: The road log, p. 7-48.","productDescription":"42 p.","startPage":"7","endPage":"48","ipdsId":"IP-106551","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":365357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365306,"type":{"id":11,"text":"Document"},"url":"https://www.desertsymposium.org/DS 2019 Ends of Eras for web 4-12 b.pdf"}],"country":"United States","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.9789,34.1607 ], [ -117.9789,37.5219 ], [ -114.7254,37.5219 ], [ -114.7254,34.1607 ], [ -117.9789,34.1607 ] ] ] } } ] }","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spaulding, G.A.","contributorId":216784,"corporation":false,"usgs":false,"family":"Spaulding","given":"G.A.","email":"","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":765522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, R.E.","contributorId":205013,"corporation":false,"usgs":false,"family":"Reynolds","given":"R.E.","email":"","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":765523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calzia, James","contributorId":216787,"corporation":false,"usgs":true,"family":"Calzia","given":"James","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wells, M.E.","contributorId":216785,"corporation":false,"usgs":false,"family":"Wells","given":"M.E.","email":"","affiliations":[{"id":39515,"text":"UNLV","active":true,"usgs":false}],"preferred":false,"id":765524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baltzer, S.","contributorId":216786,"corporation":false,"usgs":false,"family":"Baltzer","given":"S.","email":"","affiliations":[],"preferred":false,"id":765525,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203198,"text":"70203198 - 2019 - Development of a quantitative PCR method for screening ichthyoplankton samples for bigheaded carps","interactions":[],"lastModifiedDate":"2019-04-29T08:57:06","indexId":"70203198","displayToPublicDate":"2019-04-01T08:56:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Development of a quantitative PCR method for screening ichthyoplankton samples for bigheaded carps","docAbstract":"Monitoring ichthyoplankton is useful for identifying reproductive fronts and spawning locations of bigheaded carps (Hypophthalmichthys spp.). Unfortunately, sorting and identifying ichthyoplankton to monitor for bigheaded carp reproduction is time consuming and expensive. Traditional methods require frequent egg-larvae sampling, sorting of all samples to obtain presumptively identified bigheaded carp, and genetic validation of presumptively identified eggs. Quantitative PCR (qPCR) has the potential to streamline this process by identifying samples that likely do or do not contain a target species. Our objective was to develop a genetic screening tool using qPCR with the duplex assays SCTM4/5 and BHTM1/2 to prioritize samples that have a higher likelihood of containing bigheaded carp eggs or larvae. We used tandem ichthyoplankton samples collected for monitoring bigheaded carps in the Upper Mississippi, Illinois, and St. Croix rivers to evaluate the effectiveness of qPCR as a screening tool. Samples with > 10,000 copies of DNA had 100% occurrence of bigheaded carp eggs or larvae in the traditionally sorted samples, whereas samples with < 10 copies of DNA had 0% occurrence of ichthyoplankton from these invasive species. We used a logistic regression model to calculate the probability of finding bigheaded carp eggs or larvae based upon the number of DNA copies; 406 copies corresponded with a 50% probability of having bigheaded carp ichthyoplankton present in a sample. These data can be used to inform management actions (i.e., control, containment) for these invasive fishes, and this tool could be adapted for monitoring for reproduction of other aquatic invasive species.","language":"English","publisher":"Springer","doi":"10.1007/s10530-018-1887-9","usgsCitation":"Fritts, A.K., Knights, B.C., Larson, J.H., Amberg, J., Merkes, C.M., Tajjioui, T., Butler, S.E., Diana, M.J., Wahl, D.H., Weber, M.J., and Waters, J.D., 2019, Development of a quantitative PCR method for screening ichthyoplankton samples for bigheaded carps: Biological Invasions, v. 21, no. 4, p. 1143-1153, https://doi.org/10.1007/s10530-018-1887-9.","productDescription":"11 p.","startPage":"1143","endPage":"1153","ipdsId":"IP-100744","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467750,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":761602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":761603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":761604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":761605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tajjioui, Tariq 0000-0002-0113-0451","orcid":"https://orcid.org/0000-0002-0113-0451","contributorId":215091,"corporation":false,"usgs":true,"family":"Tajjioui","given":"Tariq","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":761606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butler, Steven E.","contributorId":206527,"corporation":false,"usgs":false,"family":"Butler","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":37336,"text":"Illinois Natural History Survey, Kaskaskia Biological Station","active":true,"usgs":false}],"preferred":false,"id":761607,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Diana, Matthew J.","contributorId":206528,"corporation":false,"usgs":false,"family":"Diana","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":761608,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wahl, David H.","contributorId":206529,"corporation":false,"usgs":false,"family":"Wahl","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37336,"text":"Illinois Natural History Survey, Kaskaskia Biological Station","active":true,"usgs":false}],"preferred":false,"id":761609,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weber, Michael J. 0000-0003-0430-3087","orcid":"https://orcid.org/0000-0003-0430-3087","contributorId":210835,"corporation":false,"usgs":false,"family":"Weber","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":761610,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Waters, John D.","contributorId":215092,"corporation":false,"usgs":false,"family":"Waters","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":761611,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70206560,"text":"70206560 - 2019 - A novel method to characterise levels of pharmaceutical pollution in large scale aquatic monitoring campaigns","interactions":[],"lastModifiedDate":"2019-11-08T08:55:07","indexId":"70206560","displayToPublicDate":"2019-04-01T08:50:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5841,"text":"Applied Sciences","onlineIssn":"2076-3417","active":true,"publicationSubtype":{"id":10}},"title":"A novel method to characterise levels of pharmaceutical pollution in large scale aquatic monitoring campaigns","docAbstract":"<p><span>Much of the current understanding of pharmaceutical pollution in the aquatic environment is based on research conducted in Europe, North America and other select high-income nations. One reason for this geographic disparity of data globally is the high cost and analytical intensity of the research, limiting accessibility to necessary equipment. To reduce the impact of such disparities, we present a novel method to support large-scale monitoring campaigns of pharmaceuticals at different geographical scales. The approach employs the use of a miniaturised sampling and shipping approach with a high throughput and fully validated direct-injection High-Performance Liquid Chromatography-Tandem Mass Spectrometry method for the quantification of 61 active pharmaceutical ingredients (APIs) and their metabolites in tap, surface, wastewater treatment plant (WWTP) influent and WWTP effluent water collected globally. A 7-day simulated shipping and sample stability assessment was undertaken demonstrating no significant degradation over the 1–3 days which is typical for global express shipping. Linearity (r</span><sup>2</sup><span>) was consistently ≥0.93 (median = 0.99 ± 0.02), relative standard deviation of intra- and inter-day repeatability and precision was &lt;20% for 75% and 68% of the determinations made at three concentrations, respectively, and recovery from Liquid Chromatography Mass Spectrometry grade water, tap water, surface water and WWTP effluent were within an acceptable range of 60–130% for 87%, 76%, 77% and 63% of determination made at three concentrations respectively. Limits of detection and quantification were determined in all validated matrices and were consistently in the ng/L level needed for environmentally relevant API research. Independent validation of method results was obtained via an interlaboratory comparison of three surface-water samples and one WWTP effluent sample collected in North Liberty, Iowa (USA). Samples used for the interlaboratory validation were analysed at the University of York Centre of Excellence in Mass Spectrometry (York, UK) and the U.S. Geological Survey National Water Quality Laboratory in Denver (Colorado, USA). These results document the robustness of using this method on a global scale. Such application of this method would essentially eliminate the interlaboratory analytical variability typical of such large-scale datasets where multiple methods were used.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/app9071368","usgsCitation":"Wilkinson, J.W., Boxall, A., and Kolpin, D., 2019, A novel method to characterise levels of pharmaceutical pollution in large scale aquatic monitoring campaigns: Applied Sciences, v. 9, no. 7, 1368, 14 p., https://doi.org/10.3390/app9071368.","productDescription":"1368, 14 p.","ipdsId":"IP-106171","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":467751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/app9071368","text":"Publisher Index Page"},{"id":369080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkinson, John W.","contributorId":147014,"corporation":false,"usgs":false,"family":"Wilkinson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":774939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boxall, Alistair","contributorId":152697,"corporation":false,"usgs":false,"family":"Boxall","given":"Alistair","affiliations":[],"preferred":false,"id":774940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana 0000-0002-3529-6506","orcid":"https://orcid.org/0000-0002-3529-6506","contributorId":220448,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774938,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210142,"text":"70210142 - 2019 - Increased nesting success of Hawaii Elepaio in response to the removal of invasive black rats","interactions":[],"lastModifiedDate":"2020-05-15T13:45:50.949288","indexId":"70210142","displayToPublicDate":"2019-04-01T08:39:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Increased nesting success of Hawaii Elepaio in response to the removal of invasive black rats","docAbstract":"In Hawaii and other oceanic islands with few native land mammals, black rats (Rattus rattus) are among the most damaging invasive vertebrate species to native forest bird populations and habitats, due to their arboreal behavior and generalist foraging habits and habitat use. We evaluated the nesting response of Hawaii Elepaio (Chasiempis sandwichensis; Monarchidae), a generalist insectivore, to the removal of black rats using rodenticide in a before-after-control-impact study in high- and low-elevation mesic montane habitat recovering from long-term damage from introduced ungulates and weeds. We monitored nesting success and rat abundance during 2015–2016 before applying rodenticide bait in 2017 to remove rats from two 700 × 700 m treatment plots that were paired with 2 nontreatment plots of the same size. Rat abundance was reduced by 90% during treatment, with combined variables treatment and elevation best explaining the change using GLM methods and AIC model selection. The daily survival rate (DSR) of nests (n = 191) was greater on treated plots after rodenticide application (mean ± SE = 0.980 ± 0.004 treatment; 0.964 ± 0.004 nontreatment), modeled nest success increased from 29% to 50%, and apparent nest success (number of successful nests per total nests) increased from 37% to 52%. The most informative model for predicting DSR included the effect of treatment. Predation by rats was documented at 3 of 16 nests using video surveillance, and we observed additional evidence of rat predation during in-person nest monitoring. Rats targeted adults on the nest and sometimes removed intact eggs, leaving little trace of their activity. Our results demonstrate that reducing rat predation can immediately improve the nesting success of even a common bird species in habitat with a long history of forest restoration. Sustained predator control may be critical to accelerating the recovery of native forest bird communities.","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duz003","collaboration":"","usgsCitation":"Banko, P.C., Jaenecke, K., Peck, R., and Brinck, K.W., 2019, Increased nesting success of Hawaii Elepaio in response to the removal of invasive black rats: Condor, v. 121, no. 2, duz003, 12 p., https://doi.org/10.1093/condor/duz003.","productDescription":"duz003, 12 p.","ipdsId":"IP-080105","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":467752,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/condor/duz003","text":"Publisher Index Page"},{"id":437519,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93TOM58","text":"USGS data release","linkHelpText":"Hawaii Volcanoes National Park Elepaio nest monitoring and black rat mark recapture data 2015-2017"},{"id":374869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.46728515625,\n              18.87510275035649\n            ],\n            [\n              -154.75341796875,\n              18.87510275035649\n            ],\n            [\n              -154.75341796875,\n              20.365227537412434\n            ],\n            [\n              -156.46728515625,\n              20.365227537412434\n            ],\n            [\n              -156.46728515625,\n              18.87510275035649\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"121","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":789282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaenecke, Kelly 0000-0002-7124-4788","orcid":"https://orcid.org/0000-0002-7124-4788","contributorId":211063,"corporation":false,"usgs":false,"family":"Jaenecke","given":"Kelly","email":"","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":789283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":789284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":789285,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203203,"text":"70203203 - 2019 - Consequences of ignoring spatial variation in population trend when conducting a power analysis","interactions":[],"lastModifiedDate":"2019-04-29T08:39:06","indexId":"70203203","displayToPublicDate":"2019-04-01T08:38:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of ignoring spatial variation in population trend when conducting a power analysis","docAbstract":"Long-term, large-scale monitoring programs are becoming increasingly common to document status and trends of wild populations. A successful program for monitoring population trend hinges on the ability to detect the trend of interest. Power analyses are useful for quantifying the sample size needed for trend detection, given expected variation in the population. Four components of variation (within-year variation at a given site, interannual variation within a site, variation among sites in the interannual variation, and variation among sites in mean abundance or density) are commonly considered in power analyses for population trend, but a fifth is not: variation among sites in the local trend. Spatial variation in trend is expected to reduce statistical power, but the magnitude of this reduction has not been fully explored. We used computer simulations to evaluate the consequences of ignoring spatial variation in trend under a variety of sampling designs and wide ranges of other components of variation. The effect of spatial variation in trend on power was minor when other input parameters took extreme values that made the trend either very difficult or very easy to detect. However, at moderate values of the other parameters, spatial variation in trend had a strong effect, reducing statistical power by up to 60%. In some cases, ignoring spatial variation in trend resulted in an 80% probability of a Type I error (falsely detecting a trend in a stable population). Spatial variation in trend is therefore an important consideration when designing a long-term monitoring program for many species, especially those affected by local conditions at sites that are repeatedly surveyed. If variation in trend is ignored, as in most previous power analyses, the recommended sampling design will likely be insufficient to detect the trend of interest and lead to potentially false conclusions of a stable population.","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/ecog.04093","usgsCitation":"Weiser, E.L., Diffendorfer, J., Lopez-Hoffman, L., Semmens, D.J., and Thogmartin, W.E., 2019, Consequences of ignoring spatial variation in population trend when conducting a power analysis: Ecography, v. 42, no. 4, p. 836-844, https://doi.org/10.1111/ecog.04093.","productDescription":"9 p.","startPage":"836","endPage":"844","ipdsId":"IP-091066","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437520,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SFUH2K","text":"USGS data release","linkHelpText":"Power analysis code"},{"id":363285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":761631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":761632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":761633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":761634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":761635,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204642,"text":"70204642 - 2019 - Lead in piscivorous raptors during breeding season in the Chesapeake Bay region of Maryland and Virginia, USA","interactions":[],"lastModifiedDate":"2019-08-12T11:43:39","indexId":"70204642","displayToPublicDate":"2019-04-01T08:32:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Lead in piscivorous raptors during breeding season in the Chesapeake Bay region of Maryland and Virginia, USA","docAbstract":"<p>Sources of lead exposure of many bird species are poorly understood. We analyzed blood lead concentrations from osprey (n = 244; <i>Pandion haliaetus</i>) and bald eagles (n = 68; <i>Haliaeetus leucocephalus</i>) and documented potential sources of lead they may encounter. Adult bald eagles had higher blood lead concentrations than did adult osprey. However, blood lead concentrations of nestlings were similar for both species. Although 62% of osprey had detectable lead concentrations (x ̅ = 1.99 µg/dL ± 4.02; mean; ± SD), there was no difference in the detection frequency or lead concentrations between osprey adults and nestlings. Likewise, we found no differences in the detection frequency or lead concentrations in osprey adults and nestlings from high and low salinity areas. Of the bald eagle samples tested, 55% had detectable lead levels (x ̅ = 6.23 µg/dL ± 10.74). Adult bald eagles had more detectable and higher lead concentrations than did nestlings or pre-adults. Among environmental samples, paint had the highest lead concentrations, followed by sediment, blue catfish (<i>Ictalurus furcatus</i>), and gizzard shad (<i>Dorosoma cepedianum</i>). There was no correlation between blood lead concentrations of osprey adults and their offspring. Our work indicates that, in the Chesapeake Bay region, there are multiple sources by which piscivorous raptors may be exposed to lead.</p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.4376","usgsCitation":"Slabe, V.A., Anderson, J.T., Cooper, J., Brown, B., Ortiz, P., Buchweitz, J., McRuer, D., and Katzner, T., 2019, Lead in piscivorous raptors during breeding season in the Chesapeake Bay region of Maryland and Virginia, USA: Environmental Toxicology and Chemistry, v. 38, no. 4, p. 862-871, https://doi.org/10.1002/etc.4376.","productDescription":"10 p.","startPage":"862","endPage":"871","ipdsId":"IP-102514","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":366362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.32177734375,\n              36.89719446989036\n            ],\n            [\n              -75.16845703124999,\n              36.89719446989036\n            ],\n            [\n              -75.16845703124999,\n              39.52099229357195\n            ],\n            [\n              -77.32177734375,\n              39.52099229357195\n            ],\n            [\n              -77.32177734375,\n              36.89719446989036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Slabe, Vincent A.","contributorId":213764,"corporation":false,"usgs":false,"family":"Slabe","given":"Vincent","email":"","middleInitial":"A.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":767881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":767882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Jeff","contributorId":199741,"corporation":false,"usgs":false,"family":"Cooper","given":"Jeff","affiliations":[{"id":35592,"text":"Virginia Department of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":767883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Bracken","contributorId":217945,"corporation":false,"usgs":false,"family":"Brown","given":"Bracken","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":767884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ortiz, Patricia 0000-0003-3067-7904","orcid":"https://orcid.org/0000-0003-3067-7904","contributorId":217946,"corporation":false,"usgs":true,"family":"Ortiz","given":"Patricia","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767885,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buchweitz, John","contributorId":217947,"corporation":false,"usgs":false,"family":"Buchweitz","given":"John","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":767886,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McRuer, Dave","contributorId":217948,"corporation":false,"usgs":false,"family":"McRuer","given":"Dave","affiliations":[{"id":37079,"text":"Wildlife Center of Virginia","active":true,"usgs":false}],"preferred":false,"id":767887,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767880,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203136,"text":"70203136 - 2019 - AVO-G2S: A modified, open-source Ground-to-Space atmospheric specification for infrasound modeling","interactions":[],"lastModifiedDate":"2019-04-24T08:16:39","indexId":"70203136","displayToPublicDate":"2019-04-01T08:16:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"AVO-G2S: A modified, open-source Ground-to-Space atmospheric specification for infrasound modeling","docAbstract":"To facilitate infrasound propagation studies, we present AVO-G2S, an open-source, Ground-to-Space model which provides temperature and wind specifications from the surface to an altitude of 225 km.  This model provides a means of smoothly characterizing atmospheric conditions using multiple numerical weather prediction forecast and reanalysis products, along with upper-atmospheric empirical models.  Regional atmospheric reconstructions only require a limited domain and can utilize high-resolution numerical weather prediction forecasts typically provided\non a projected grid.  The use of a projected grid allows for faster spectral transform libraries to be\nemployed.  The AVO-G2S software can also provide global reconstructions that rely on global\nnumerical weather prediction products and spherical harmonic decompositions.  AVO-G2S is inspired by a global Ground-to-Space model developed by the Naval Research Laboratory, and relies on their empirical descriptions of upper-atmospheric conditions.  Alaska Volcano Observatory has implemented this model for near-real-time infrasound monitoring of volcanic eruptions and historical research projects.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2018.12.013","usgsCitation":"Schwaiger, H., Iezzi, A., and Fee, D., 2019, AVO-G2S: A modified, open-source Ground-to-Space atmospheric specification for infrasound modeling: Computers & Geosciences, v. 125, p. 90-97, https://doi.org/10.1016/j.cageo.2018.12.013.","productDescription":"8 p.","startPage":"90","endPage":"97","ipdsId":"IP-091624","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467753,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2018.12.013","text":"Publisher Index Page"},{"id":363165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schwaiger, Hans 0000-0001-7397-8833","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":214983,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":761353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":196436,"corporation":false,"usgs":false,"family":"Iezzi","given":"Alexandra M.","affiliations":[],"preferred":false,"id":761354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":761355,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204653,"text":"70204653 - 2019 - Assessing seasonal changes in microgravity at Yellowstone caldera","interactions":[],"lastModifiedDate":"2019-08-09T10:45:59","indexId":"70204653","displayToPublicDate":"2019-04-01T07:51:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessing seasonal changes in microgravity at Yellowstone caldera","docAbstract":"Microgravity time series at active volcanoes can provide an indication of mass change related to subsurface magmatic processes, but uncertainty is often introduced by hydrologic variations and other noise sources that cannot easily be isolated.  We empirically assessed seasonality and noise by conducting four surveys over the course of May-October 2017 at Yellowstone caldera, Wyoming.  Yellowstone experiences frequent changes in the rates and styles of seismicity and surface deformation, but the mechanisms of these changes are poorly understood because the characteristics of the driving fluids are not clear.  Past gravity data from the caldera have yielded ambiguous results, possibly due to hydrologic noise. Given the strong visually observable changes in surface water and snow conditions over the course of our surveys, we expected to see significant variations in gravity.  The net change in gravity, however, was less than 20 µGal at most sites, and there was no strong correlation with river and lake levels or snow conditions.  Seasonal changes in gravity are therefore small compared to those that would be expected from magmatic activity, although they may be on the same order as those associated with Yellowstone’s hydrothermal system.  We did find that noise levels in gravity data were highly dependent on site characteristics, with bedrock sites away from trees yielding the lowest levels of noise, and thin concrete pads in forested areas the highest.  These results can be used to plan future surveys at Yellowstone and to reinterpret past data, and they provide guidance in terms of best practices for repeat gravity work on volcanoes worldwide.","language":"English","publisher":"Wiley","doi":"10.1029/2018JB017061","usgsCitation":"Poland, M.P., and de Zeeuw-van Dalfsen, E., 2019, Assessing seasonal changes in microgravity at Yellowstone caldera: Journal of Geophysical Research, v. 124, no. 4, p. 4174-4188, https://doi.org/10.1029/2018JB017061.","productDescription":"15 p.","startPage":"4174","endPage":"4188","ipdsId":"IP-103468","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467754,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb017061","text":"Publisher Index Page"},{"id":366351,"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              -111.28051757812499,\n              43.79488907226601\n            ],\n            [\n              -109.3304443359375,\n              43.79488907226601\n            ],\n            [\n              -109.3304443359375,\n              45.14717913418674\n            ],\n            [\n              -111.28051757812499,\n              45.14717913418674\n            ],\n            [\n              -111.28051757812499,\n              43.79488907226601\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Zeeuw-van Dalfsen, Elske 0000-0003-2527-4932","orcid":"https://orcid.org/0000-0003-2527-4932","contributorId":217967,"corporation":false,"usgs":false,"family":"de Zeeuw-van Dalfsen","given":"Elske","email":"","affiliations":[{"id":39727,"text":"KNMI","active":true,"usgs":false}],"preferred":false,"id":767931,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203230,"text":"70203230 - 2019 - Simulating the effects of climate variability on waterbodies and wetland-dependent birds in the Prairie Pothole Region","interactions":[],"lastModifiedDate":"2019-05-02T08:07:59","indexId":"70203230","displayToPublicDate":"2019-04-01T07:46:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the effects of climate variability on waterbodies and wetland-dependent birds in the Prairie Pothole Region","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Understanding how bird populations respond to changes in waterbody availability in the climatically variable Prairie Pothole Region (PPR) of North America hinges on being able to couple hydrological and climate modeling to represent potential future landscapes. Model experiments run with the Pothole Complex Hydrologic Model using downscaled climate data (variables relating to precipitation, temperature, and potential evapotranspiration at 1/8° spatial resolution under four general circulation climate models and two gas emissions scenarios) were used to forecast the abundances of six focal wetland‐dependent bird species in the Missouri Coteau portion of the PPR, providing ensemble scenarios at a spatial scale relevant to resource management. Although the projected number of May ponds (waterbodies present during bird breeding season) fluctuated through time with some decadal periodicity (and with the number present in a given year reflecting abundance over the previous three years), the ensemble model average indicated an increase in the average number of waterbodies present by the turn of the next century. Overall, the model experiments conservatively projected an 11.75% increase in the number of waterbodies present by 2090–2099 compared to a baseline period from 1967 to 2005 in the PPR. Wetland‐dependent bird occurrence and abundance were significantly associated with temporal patterns and decadal periodicity in waterbody dynamics. Because of the strong associations between wetland‐dependent bird occurrence and abundance and the number of prairie potholes, projected waterbody increases are forecasted to result in an 11.97% overall increase in occurrence and 8.63% increase in abundance of the six focal species by the end of the 21st century; these results contrast with forecasted drought‐associated declines in waterbodies and birds in the PPR. This integrated hydrological–climatological approach offers a means of assessing how wetland‐dependent bird populations may respond to changes in wetland habitat availability due to a changing climate. Our results provide information that can help managers decide how to mitigate the effects of climate shifts on the distribution of wetland habitat and biota.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2711","usgsCitation":"Mcintyre, N., Liu, G., Gorzo, J., Wright, C., Guntenspergen, G.R., and Schwartz, F., 2019, Simulating the effects of climate variability on waterbodies and wetland-dependent birds in the Prairie Pothole Region: Ecosphere, v. 10, no. 4, p. 1-18, https://doi.org/10.1002/ecs2.2711.","productDescription":"e02711, 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-101250","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2711","text":"Publisher Index Page"},{"id":363417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.2669,47.3268],[-98.8466,47.327],[-98.8392,47.327],[-98.8232,47.3272],[-98.8152,47.3271],[-98.4991,47.327],[-98.467,47.3266],[-98.4677,47.2402],[-98.4685,46.9788],[-98.4412,46.9789],[-98.4396,46.6296],[-98.7894,46.6294],[-99.0379,46.6309],[-99.1616,46.6317],[-99.4122,46.6316],[-99.4498,46.6319],[-99.4477,46.8044],[-99.4476,46.9788],[-99.4821,46.9795],[-99.4824,47.0089],[-99.4822,47.0162],[-99.4821,47.0249],[-99.4826,47.0396],[-99.4827,47.1558],[-99.4801,47.3267],[-99.2669,47.3268]]]},\"properties\":{\"name\":\"Stutsman\",\"state\":\"ND\"}}]}","volume":"10","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Mcintyre, N.E.","contributorId":215186,"corporation":false,"usgs":false,"family":"Mcintyre","given":"N.E.","email":"","affiliations":[{"id":39194,"text":"Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409-3131 USA","active":true,"usgs":false}],"preferred":false,"id":761798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, G.","contributorId":215187,"corporation":false,"usgs":false,"family":"Liu","given":"G.","email":"","affiliations":[{"id":39195,"text":"School of Earth, Environment and Society, Bowling Green State University, 190 Overman Hall, Bowling Green, OH 43403 USA","active":true,"usgs":false}],"preferred":false,"id":761799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorzo, J.","contributorId":215188,"corporation":false,"usgs":false,"family":"Gorzo","given":"J.","affiliations":[{"id":39196,"text":"Natural Resources Research Institute, University of Minnesota-Duluth, 5013 Miller Trunk Hwy., Duluth, MN 55811 USA","active":true,"usgs":false}],"preferred":false,"id":761800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C.K.","contributorId":215189,"corporation":false,"usgs":false,"family":"Wright","given":"C.K.","email":"","affiliations":[{"id":39196,"text":"Natural Resources Research Institute, University of Minnesota-Duluth, 5013 Miller Trunk Hwy., Duluth, MN 55811 USA","active":true,"usgs":false}],"preferred":false,"id":761801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwartz, F.","contributorId":215190,"corporation":false,"usgs":false,"family":"Schwartz","given":"F.","email":"","affiliations":[{"id":39197,"text":"School of Earth Sciences, 275 Mendenhall Laboratory, 125 S. Oval Mall, Ohio State University, Columbus, OH 43210 USA","active":true,"usgs":false}],"preferred":false,"id":761802,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203279,"text":"70203279 - 2019 - Investigation of recent decadal-scale cyclical fluctuations in salinity in the lower Colorado river","interactions":[],"lastModifiedDate":"2020-12-10T13:17:05.905551","indexId":"70203279","displayToPublicDate":"2019-04-01T07:07:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of recent decadal-scale cyclical fluctuations in salinity in the lower Colorado river","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Beginning in the late 1970s, 10- to 15-year cyclical oscillations in&nbsp;salinity&nbsp;were observed at lower Colorado River monitoring sites, moving upstream from the international border with Mexico, above Imperial Dam, below Hoover Dam, and at Lees Ferry. The cause of these cyclical trends in salinity was unknown. These salinity cycles complicate the U.S. Bureau of&nbsp;</span>Reclamation's<span>&nbsp;(Reclamation) responsibility for managing salinity in the river for delivery of water to Mexico to meet&nbsp;treaty&nbsp;obligations. This study develops a conceptual model of the salinity cycles from&nbsp;time-series&nbsp;water quality,&nbsp;streamflow, and&nbsp;precipitation&nbsp;data in both the lower and upper Colorado&nbsp;River Basins&nbsp;in order to provide Reclamation the ability to understand, anticipate, and manage future salinity cycles in the lower river. Compared with the Lees Ferry record, both maximum and minimum salinity levels increase downstream by about 25% at Hoover Dam, by about 49% at Imperial Dam, and by about 69% at the northern international boundary with Mexico. In the upper basin, cyclical salinity trends are evident at the outflow of three major&nbsp;tributaries, where salinity is also noted to be inversely related to streamflow. Time series trends in precipitation within the&nbsp;catchments&nbsp;of the three upper basin tributaries indicate cyclical periods with above normal precipitation and periods with below normal precipitation. Periods of greater than normal precipitation in the contributing areas correspond with declines in salinity at the catchment monitoring sites and periods of less than normal precipitation correspond with rising salinity at the sites. Based on the conceptual model developed in this investigation, a&nbsp;multiple linear regression&nbsp;model was developed using a stepwise variable&nbsp;selection procedure&nbsp;to simulate salinity in Lake Powell inflow. Important variables in the explanation of salinity entering Lake Powell include flow from the three upper basin tributaries, seasonality, and mean precipitation in the upper basin, among others. The&nbsp;root mean square error&nbsp;of prediction for the MLR model was 31.48 mg/L (5.7%).</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2019.01.072","usgsCitation":"Tillman, F.D., Coes, A.L., Anning, D., Mason, J.P., and Coplen, T.B., 2019, Investigation of recent decadal-scale cyclical fluctuations in salinity in the lower Colorado river: Journal of Environmental Management, no. 235, p. 442-452, https://doi.org/10.1016/j.jenvman.2019.01.072.","productDescription":"11 p.","startPage":"442","endPage":"452","ipdsId":"IP-099744","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":363467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.10400390625,\n              30.751277776257812\n            ],\n            [\n              -104.91943359374999,\n              30.751277776257812\n            ],\n            [\n              -104.91943359374999,\n              42.69858589169842\n            ],\n            [\n              -114.10400390625,\n              42.69858589169842\n            ],\n            [\n              -114.10400390625,\n              30.751277776257812\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"235","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anning, David W. 0000-0002-4470-3387","orcid":"https://orcid.org/0000-0002-4470-3387","contributorId":202783,"corporation":false,"usgs":true,"family":"Anning","given":"David W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Jon P. 0000-0003-0576-5494 jmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0576-5494","contributorId":196854,"corporation":false,"usgs":true,"family":"Mason","given":"Jon","email":"jmason@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":762020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":762021,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206198,"text":"70206198 - 2019 - Patterns of primary production and ecological drought in Yellowstone","interactions":[],"lastModifiedDate":"2019-10-25T07:06:17","indexId":"70206198","displayToPublicDate":"2019-04-01T07:05:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of primary production and ecological drought in Yellowstone","docAbstract":"Introduction: Photosynthesis converts sunlight into stored energy in millions of leaves, flowers and seeds that maintain the web of life in Yellowstone.  This transformation of energy fixes carbon, supplies organic matter to soils, and can become fuel for wildfire. As the first link of the food chain, new plant biomass is called primary production and provides energy to consumers, including wildlife.  While Yellowstone is a mountain environment with deep winter snowpack, the park can get very dry in some years as evidenced by massive wildfires in 1988 and 2016.  Droughts like these not only contribute to fire potential, but they affect primary production, the food chain and likely will play an increasingly important role in transforming vegetation structure and composition in the future.  Meteorological, agricultural, and hydrological drought have been assessed quantitatively for many years, but key indicators of drought in wildland ecosystems have not been formally defined until recently (Crausbay et al., 2017).  One promising new method to do this is by measuring how vegetation responds to negative effects of drought, and positive effects of favorable conditions that offset negative effects of drought.  The balance of drought stress and growth has important implications for future vegetation condition as the climate of Yellowstone changes.  \nMonitoring primary production, and predicting future vegetation changes are needed to provide a comprehensive view of park health and anticipate future ecosystem changes (Crabtree et al. 2009, Nemani et al. 2009).  Although an important indicator of ecosystem condition, primary production can be time and resource-intensive to monitor in wildland settings using traditional ground-based methods such as clipping and weighing.  Fortunately, ground-based methods can be complemented and enhanced by monitoring primary production with satellite imagery.  Measurements of solar radiation reflectance in visible and near infra-red wavelengths can indicate primary production at frequent weekly intervals from the Moderate Resolution Imaging Spectrometer (MODIS) on satellites operated by NASA. The Greater Yellowstone Inventory and Monitoring Network (GRYN) uses this information to track changes in primary production across Yellowstone over time.  They link these measurements to vegetation types, soils, and climate to understand where and when changes in production have occurred and may occur in the future.","language":"English","publisher":"National Park Service","usgsCitation":"Thoma, D.P., Munson, S.M., Rodman, A.W., Renkin, R., Anderson, H.M., and Wacker, S.D., 2019, Patterns of primary production and ecological drought in Yellowstone: Yellowstone Science, v. 27, no. 1, p. 34-39.","productDescription":"6 p.","startPage":"34","endPage":"39","ipdsId":"IP-112293","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":368590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368571,"type":{"id":11,"text":"Document"},"url":"https://www.nps.gov/articles/patterns-of-primary-production-ecological-drought-in-yellowstone.htm"}],"country":"United States","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              43.76712702120528\n            ],\n            [\n              -109.1766357421875,\n              43.76712702120528\n            ],\n            [\n              -109.1766357421875,\n              45.05412098425883\n            ],\n            [\n              -111.09374999999999,\n              45.05412098425883\n            ],\n            [\n              -111.09374999999999,\n              43.76712702120528\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":773824,"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":220026,"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}],"preferred":true,"id":773823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodman, Ann W.","contributorId":220027,"corporation":false,"usgs":false,"family":"Rodman","given":"Ann","email":"","middleInitial":"W.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":773825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Renkin, Roy","contributorId":220028,"corporation":false,"usgs":false,"family":"Renkin","given":"Roy","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":773826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Heidi M.","contributorId":220029,"corporation":false,"usgs":false,"family":"Anderson","given":"Heidi","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":773827,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wacker, Stephanie D.","contributorId":220030,"corporation":false,"usgs":false,"family":"Wacker","given":"Stephanie","email":"","middleInitial":"D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":773828,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206399,"text":"70206399 - 2019 - Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook Salmon ESU","interactions":[],"lastModifiedDate":"2019-11-04T11:01:15","indexId":"70206399","displayToPublicDate":"2019-04-01T07:05:17","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook Salmon ESU","docAbstract":"The portion of the Snake River fall Chinook Salmon Oncorhynchus tshawytscha ESU that spawns upstream of Lower Granite Dam transitioned from low to high abundance during 1992–2018 in association with U.S. Endangered Species Act recovery efforts and other federally mandated actions. This annual report focuses on (1) numeric and habitat use responses by natural- and hatchery-origin spawners, (2) phenotypic and numeric responses by natural-origin juveniles, and (3) use of a small unmanned aerial system (sUAS) to search for fall Chinook salmon redds and carcasses. Spawners have located and used most of the available spawning habitat and that habitat is gradually approaching redd capacity. Timing of spawning and fry emergence has been relatively stable, but effects of density dependence are evident in juvenile life stages. Apparent abundance of juvenile fall Chinook salmon has increased and we noted the following responses: parr dispersal from riverine rearing habitat into Lower Granite Reservoir has become earlier; growth rate (g/d) and dispersal size of parr declined; and passage timing of smolts from the two Snake River reaches has become earlier and downstream movement rate faster. These findings coupled with stock-recruitment analyses presented in this report provide evidence for density-dependence in the Snake River reaches and in Lower Granite Reservoir that was influenced by the expansion of the recovery program. The long-term goal is to use this information in a comprehensive modeling effort to conduct action-effectiveness and uncertainty research and to inform Fish Population, Hydrosystem, Harvest, Hatchery, and Predation and Invasive Species Management Research, Monitoring, and Evaluation (RM&E).\n\nIn 2018, the U.S. Geological Survey (USGS) searched 10 shallow-water spawning sites and 25 deepwater spawning sites in conjunction with the Idaho Power Company (IPC). A total of 103 redds were counted at shallow-water sites and 61 redds were counted at deepwater sites. We recovered 17 carcasses and 13 live fish, which were spawned out, and collected biological information and tissue samples that are currently being analyzed for parentage to determine the percentage of hatchery-origin spawners on the spawning grounds.","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K.F., Perry, R., Plumb, J., Hance, D., Bickford, B., and Rhodes, T., 2019, Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook Salmon ESU, iii, 54 p.","productDescription":"iii, 54 p.","ipdsId":"IP-109440","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":368864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368853,"type":{"id":11,"text":"Document"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P166057/79371-1.pdf"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.32226562500001,\n              41.80407814427234\n            ],\n            [\n              -111.005859375,\n              41.80407814427234\n            ],\n            [\n              -111.005859375,\n              46.9502622421856\n            ],\n            [\n              -120.32226562500001,\n              46.9502622421856\n            ],\n            [\n              -120.32226562500001,\n              41.80407814427234\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220177,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumb, John 0000-0003-4255-1612","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":220178,"corporation":false,"usgs":true,"family":"Plumb","given":"John","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hance, Dalton 0000-0002-4475-706X","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":220179,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bickford, Brad 0000-0003-3756-6588","orcid":"https://orcid.org/0000-0003-3756-6588","contributorId":220180,"corporation":false,"usgs":true,"family":"Bickford","given":"Brad","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rhodes, Tobyn 0000-0002-4023-4827","orcid":"https://orcid.org/0000-0002-4023-4827","contributorId":220181,"corporation":false,"usgs":true,"family":"Rhodes","given":"Tobyn","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774405,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202859,"text":"70202859 - 2019 - 2018 Status of the Lake Ontario lower trophic levels","interactions":[],"lastModifiedDate":"2019-12-04T18:30:03","indexId":"70202859","displayToPublicDate":"2019-03-31T18:27:08","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"2018 Status of the Lake Ontario lower trophic levels","docAbstract":"<p>Significant Findings for Year 2018: </p><p>1) Offshore spring total phosphorus (TP) in 2018 was 7.0 µg/L; values have remained stable since 2001. Offshore soluble reactive phosphorus (SRP) remained low (1.3 µg/L) in 2018; Apr/May – Oct mean values have been stable in nearshore and offshore habitats since 1998 (range, 0.4 – 3.3 µg/L). Apr/May – Oct mean TP concentrations were low at both nearshore and offshore locations (range, 3.9 – 7.8 µg/L). TP and SRP concentrations were not significantly different between nearshore and offshore habitats. </p><p>2) Chlorophyll-a and Secchi depth values are indicative of oligotrophic conditions in nearshore and offshore habitats. Offshore summer chlorophyll-a was stable 2000 – 2018. Nearshore chlorophyll-a increased 1995 - 2004 and then stabilized 2005 – 2018; values were below the long-term mean in 2018. In 2018, epilimnetic chlorophyll-a averaged between 0.9 and 1.8 μg/L across sites, and offshore and nearshore Apr/May – Oct concentrations were not significantly different. Summer Secchi depth increased significantly in the offshore 2000 – 2018 and in the nearshore 1995 – 2004. Apr/May – Oct Secchi depth ranged from 4.7 m to 13.5 m (15 ft to 44 ft) at individual sites and was not significantly different between offshore (8.6 m; 28 ft) and nearshore (6.3 m; 21 ft) locations. </p><p>3) In 2018, nearshore summer zooplankton biomass increased slightly to 10.7 mg/m3 after an all-time low (10.3 mg/m<sup>3</sup> ) in 2017. Apr/May – Oct epilimnetic zooplankton density was significantly higher in the offshore than the nearshore, but zooplankton size and biomass were not different. Cyclopoid copepods were primarily responsible for the higher density in the offshore. </p><p>4) Peak (July) epilimnetic biomass of Cercopagis was 1.3 mg/m<sup>3</sup> in the nearshore and 1.9 mg/m<sup>3</sup> in the offshore. Peak (September-October) epilimnetic biomass of Bythotrephes was 0.4 mg/m<sup>3</sup> in the nearshore and 0.6 mg/m3 in the offshore. Bythotrephes biomass has increased significantly in the nearshore, 1995 – 2018. </p><p>5) Summer nearshore zooplankton density and biomass declined significantly 1995 – 2004 and then remained stable 2005 – 2018. The decline was due mainly to reductions in cyclopoids copepods. </p><p>6) Summer epilimnetic daytime offshore zooplankton density and biomass decreased significantly 2000 – 2018, but density increased marginally since 2005. Density was 16000/m<sup>3</sup> in 2018, three times the levels seen 2015 – 2017. Offshore summer epilimnetic zooplankton biomass in 2018 was 11 mg/m<sup>3</sup> — well below the mean from 2005 – 2017 (20 mg/m<sup>3</sup> ). </p><p>7) Most offshore zooplankton biomass was found in the metalimnion in July and early-September, and in the hypolimnion in late-September and October. Cyclopoids dominated the metalimnion in July while daphnids and cyclopoids comprised most of the biomass in September. Daphnids dominated the October hypolimnion. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2018 Annual report Bureau of Fisheries Lake Ontario Unit and St. Lawrence River Unit to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"NYSDEC","usgsCitation":"Holeck, K.T., Rudstam, L.G., Hotaling, C., Lemon, D., Pearsall, W., Lantry, J., Connerton, M., Legard, C., LaPan, S., Biesinger, Z., Lantry, B.F., and Weidel, B., 2019, 2018 Status of the Lake Ontario lower trophic levels, chap. 3 <i>of</i> 2018 Annual report Bureau of Fisheries Lake Ontario Unit and St. Lawrence River Unit to the Great Lakes Fishery Commission’s Lake Ontario Committee, p. 3-1-3-28.","productDescription":"28 p.","startPage":"3-1","endPage":"3-28","ipdsId":"IP-105614","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70203559,"text":"70203559 - 2019 - Groundwater Conditions in Utah, Spring of 2018","interactions":[],"lastModifiedDate":"2019-07-09T17:01:09","indexId":"70203559","displayToPublicDate":"2019-03-31T16:51:42","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":247,"text":"Cooperative Investigations Report","active":false,"publicationSubtype":{"id":4}},"title":"Groundwater Conditions in Utah, Spring of 2018","docAbstract":"<p>This is the fifty-fifth in a series of annual reports that&nbsp;describe groundwater conditions in Utah. 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This report is also available online at&nbsp;https://waterrights.utah.gov/techinfo/wwwpub/GW2018.pdf.&nbsp;Groundwater conditions in Utah for calendar year 2016 are&nbsp;reported in Burden and others (2017) and are available online&nbsp;at https://waterrights.utah.gov/techinfo/wwwpub/GW2017.pdf. </p>","language":"English","publisher":"Utah Department of Natural Resources","collaboration":"Utah Department of Natural Resources and Utah Department of Environmental Quality","usgsCitation":"Smith, L., Birken, A.S., Klebba, P.H., Jones, K.K., Derrick, V.N., Downhour, P., Eacret, R.J., Gibson, T.L., Slaugh, B.A., Whittier, N.R., Douglas, B.P., LaBonte, D.V., and Fisher, M.J., 2019, Groundwater Conditions in Utah, Spring of 2018: Cooperative Investigations Report, x, 118 p.","productDescription":"x, 118 p.","ipdsId":"IP-096206","costCenters":[{"id":610,"text":"Utah Water Science 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,{"id":70205142,"text":"70205142 - 2019 - Windows to the deep 2018:  Exploration of the southeast US Continental margin","interactions":[],"lastModifiedDate":"2019-09-05T08:09:27","indexId":"70205142","displayToPublicDate":"2019-03-31T16:43:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Windows to the deep 2018:  Exploration of the southeast US Continental margin","docAbstract":"Windows to the Deep 2018: Exploration of the Southeast US Continental Margin was a 36-day expedition aboard NOAA Ship Okeanos Explorer to acquire data on priority exploration areas identified by the ocean management and scientific communities. This expedition involved high-resolution multibeam sonar mapping and ROV dives, ranging from 340 m to 3,400 m depth, across the southeast US continental margin. Operations primarily targeted areas with potential to host deep-sea coral and sponge communities, including mounds, ridges, and terraced\nfeatures on the continental slope. Dive sites also included maritime heritage sites, a submarine landslide feature, and several submarine canyon slopes, some of which exhibited evidence of active cold seeps. High biological abundance was noted at six of 17 dive sites, three of which also had high biological diversity. Additionally, deep-sea corals or sponges were observed on every dive except one, which was dedicated to gas seep exploration.","language":"English","publisher":"Oceanography Society","doi":"10.5670/oceanog.2019.supplement.01","usgsCitation":"Sautter, L.R., Morrison, C.L., Cantwell, K., Sowers, D., and Lobecker, E., 2019, Windows to the deep 2018:  Exploration of the southeast US Continental margin: Oceanography, v. 32, no. 1 supplement, p. 82-87, https://doi.org/10.5670/oceanog.2019.supplement.01.","productDescription":"6 p.","startPage":"82","endPage":"87","ipdsId":"IP-106527","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2019.supplement.01","text":"Publisher Index Page"},{"id":367203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Ocean, Blake Plateau, Stetson Mesa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.30029296875,\n              35.817813158696616\n            ],\n            [\n              -76.26708984375,\n              34.77771580360469\n            ],\n            [\n              -77.47558593749999,\n              34.32529192442733\n            ],\n            [\n              -78.11279296875,\n              33.50475906922609\n            ],\n            [\n              -78.8818359375,\n              33.486435450999885\n            ],\n            [\n              -80.52978515625,\n              32.08257455954592\n            ],\n            [\n              -81.2109375,\n              30.90222470517144\n            ],\n            [\n              -80.35400390625,\n              28.497660832963472\n            ],\n            [\n              -79.91455078125,\n              27.0982539061379\n            ],\n            [\n              -77.16796875,\n              27.780771643348196\n            ],\n            [\n              -73.65234375,\n              36.049098959065645\n            ],\n            [\n              -73.7841796875,\n              36.70365959719456\n            ],\n            [\n              -74.70703125,\n              36.84446074079564\n            ],\n            [\n              -75.41015624999999,\n              36.721273880045004\n            ],\n            [\n              -75.30029296875,\n              35.817813158696616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"1 supplement","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sautter, Leslie R","contributorId":218767,"corporation":false,"usgs":false,"family":"Sautter","given":"Leslie","email":"","middleInitial":"R","affiliations":[{"id":39905,"text":"College of Charleston, SC","active":true,"usgs":false}],"preferred":false,"id":770195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":770194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cantwell, Kasey","contributorId":218768,"corporation":false,"usgs":false,"family":"Cantwell","given":"Kasey","email":"","affiliations":[{"id":39906,"text":"NOAA Office of Exploration and Research, Silver Spring, MD","active":true,"usgs":false}],"preferred":false,"id":770196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sowers, Derek","contributorId":214036,"corporation":false,"usgs":false,"family":"Sowers","given":"Derek","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":770197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lobecker, Elizabeth","contributorId":218769,"corporation":false,"usgs":false,"family":"Lobecker","given":"Elizabeth","affiliations":[{"id":39907,"text":"NOAA Office of Exploration and Research","active":true,"usgs":false}],"preferred":false,"id":770198,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216767,"text":"70216767 - 2019 - Seasonal fluxes of dissolved nutrients in streams of catchments dominated by swidden agriculture in the Maya Forest of Belize, Central America","interactions":[],"lastModifiedDate":"2020-12-04T21:58:57.002503","indexId":"70216767","displayToPublicDate":"2019-03-31T15:53:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal fluxes of dissolved nutrients in streams of catchments dominated by swidden agriculture in the Maya Forest of Belize, Central America","docAbstract":"<p><span>The biogeochemistry of nitrogen (N) and phosphorus (P) in tropical streams and rivers is strongly regulated by the pronounced seasonality of rainfall and associated changes in hydrology. Land use and land cover change (LULCC) can also be a dominant driver of changes in stream biogeochemistry yet responses are not fully understood and vary across different LULCC scenarios. We measured dissolved and total nitrogen (N) and phosphorus (P) concentrations in four tributary streams of the Temash River watershed in southern Belize, Central America. The dominant land use practice in each of the four study catchments was swidden agriculture. We documented a strong seasonal control on the export of nutrients from these study systems with daily N fluxes increasing approximately 10-fold during the onset of the rainy season. P fluxes increased almost 4-fold during the same time period. Comparisons with nutrient export coefficients from other tropical streams suggest that nutrient export in streams of the Temash River watershed is similar or slightly lower. Establishing improved understanding of the terrestrial and hydrologic controls of N and P transport across the terrestrial-aquatic boundary and developing a comprehensive nutrient budget that includes inputs and outputs associated with crop production is warranted in future work.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w11040664","usgsCitation":"Buck, D.G., Esselman, P., Jiang, S., Wainwright, J.D., Brenner, M., and Cohen, M.J., 2019, Seasonal fluxes of dissolved nutrients in streams of catchments dominated by swidden agriculture in the Maya Forest of Belize, Central America: Water, v. 11, no. 4, 664, 24 p., https://doi.org/10.3390/w11040664.","productDescription":"664, 24 p.","ipdsId":"IP-106287","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11040664","text":"Publisher Index Page"},{"id":381004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Belize","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.21722412109374,\n              15.890017659698243\n            ],\n            [\n              -88.90411376953125,\n              15.890017659698243\n            ],\n            [\n              -88.90411376953125,\n              16.151368535968885\n            ],\n            [\n              -89.21722412109374,\n              16.151368535968885\n            ],\n            [\n              -89.21722412109374,\n              15.890017659698243\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Buck, David G.","contributorId":245403,"corporation":false,"usgs":false,"family":"Buck","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":806134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiang, Shiguo 0000-0001-9088-883X","orcid":"https://orcid.org/0000-0001-9088-883X","contributorId":244799,"corporation":false,"usgs":false,"family":"Jiang","given":"Shiguo","email":"","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":806136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wainwright, Joel D.","contributorId":245404,"corporation":false,"usgs":false,"family":"Wainwright","given":"Joel","email":"","middleInitial":"D.","affiliations":[{"id":49186,"text":"University of Ohio","active":true,"usgs":false}],"preferred":false,"id":806137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenner, Mark","contributorId":245405,"corporation":false,"usgs":false,"family":"Brenner","given":"Mark","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":806138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cohen, Matthew J.","contributorId":138990,"corporation":false,"usgs":false,"family":"Cohen","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":806139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202834,"text":"70202834 - 2019 - Assessing rangeland health under climate variability and change","interactions":[],"lastModifiedDate":"2019-06-25T15:48:02","indexId":"70202834","displayToPublicDate":"2019-03-31T15:47:43","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"Assessing rangeland health under climate variability and change","docAbstract":"<p>RANGELAND HEALTH IN A CHANGING WORLD Rangeland health is an integrated metric that describes a complex suite of ecosystem properties and processes as applied to resource management. While the concept of “healthy” landscapes has a long history, the term “rangeland health” was codified in the US in 1994 as part of an effort to move towards a national, data driven, rangeland condition assessment (National Research Council 1994). Rangeland health encompasses the status of both soils and ecological processes as well as the condition of those ecosystems relative to ecological thresholds (e.g. “healthy”, “at-risk”, or “unhealthy\"; National Research Council 1994). This latter application ensures that rangeland health assessments not only evaluate the conditions of plants and soils, but also gauge those conditions with respect to known or hypothesized ecological dynamics (Bestelmeyer et al. 2013) for a given set of abiotic constraints (climate, soil, and topographic setting). Thus, an assessment of rangeland health should identify the “degree to which the integrity of the soil and the ecological processes are sustained” (National Research Council 1994, Us Department of Agriculture 1997). Rangeland health attributes and assessment procedures have become widely utilized tools for measuring and monitoring dryland ecosystems, and they may provide valuable perspectives on rangeland response to climate change, although long-term directional change in environmental conditions represents a challenge for traditional rangeland health assessment frameworks.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Grasslands and climate change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781108163941","isbn":"9781316646779","usgsCitation":"Bradford, J.B., Duniway, M.C., and Munson, S.M., 2019, Assessing rangeland health under climate variability and change, chap. 17 <i>of</i> Grasslands and climate change, p. 293-309, https://doi.org/10.1017/9781108163941.","productDescription":"17 p.","startPage":"293","endPage":"309","ipdsId":"IP-092717","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":365037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362504,"type":{"id":15,"text":"Index Page"},"url":"https://www.cambridge.org/us/academic/subjects/life-sciences/ecology-and-conservation/grasslands-and-climate-change?format=PB"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":760193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203734,"text":"70203734 - 2019 - Effects of high-flow experiments on other resources: Recreation and hydropower","interactions":[],"lastModifiedDate":"2020-05-28T18:18:24.862547","indexId":"70203734","displayToPublicDate":"2019-03-31T15:09:58","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of high-flow experiments on other resources: Recreation and hydropower","docAbstract":"<p>Glen Canyon National Recreation Area (GCNRA) and Grand Canyon National Park (GCNP) offer unique recreational opportunities. An objective in the Long-Term Experimental and Management Plan Environmental Impact Statement (LTEMP EIS) is to maintain and improve the quality of recreational experiences (U.S. Department of the Interior, 2016). Some of the higher valued recreational activities include day-use rafting and angling in GCNRA and whitewater rafting in GCNP. The LTEMP EIS identified that Glen Canyon Dam (GCD) operations can affect the experience of day-use rafters and anglers in GCNRA and whitewater rafters in GCNP, including High-Flow Experiments (HFEs) (U.S. Department of the Interior, 2016). </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"High-Flow Experiments Assessment Extended Abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Adaptive Management Work Group Meeting","conferenceDate":"March 6-7, 2019","conferenceLocation":"Tempe, AZ","language":"English","publisher":"US Bureau of Reclamation Glen Canyon Dam Adaptive Management Program","usgsCitation":"Bair, L.S., 2019, Effects of high-flow experiments on other resources: Recreation and hydropower, <i>in</i> High-Flow Experiments Assessment Extended Abstracts, Tempe, AZ, March 6-7, 2019, p. 45-47.","productDescription":"3 p.","startPage":"45","endPage":"47","ipdsId":"IP-107812","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":375112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364488,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/uc/progact/amp/amwg/2019-03-06-amwg-meeting/20190301-HFE_Extended_Abstracts-Combined_FINAL.pdf"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Glen Canyon National Recreation Area, Grand Canyon National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.731201171875,\n              37.12966595484084\n            ],\n            [\n              -109.599609375,\n              38.039438891821746\n            ],\n            [\n              -109.5391845703125,\n              38.28131307922966\n 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763897,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203735,"text":"70203735 - 2019 - Sandbar deposition caused by high-flow experiments on the Colorado River downstream from Glen Canyon Dam: November 2012 – November 2018","interactions":[],"lastModifiedDate":"2020-05-28T18:21:14.568542","indexId":"70203735","displayToPublicDate":"2019-03-31T15:01:12","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sandbar deposition caused by high-flow experiments on the Colorado River downstream from Glen Canyon Dam: November 2012 – November 2018","docAbstract":"<p>The streamflow regime and sand supply of the Colorado River have been affected by the presence and operations of Glen Canyon Dam since filling of Lake Powell began in March 1963. Consequent changes in river morphology have included decreases in the size and abundance of sandbars used as campsites in Grand Canyon National Park (Dolan and others, 1974; Schmidt and Graf, 1990; Kearsley and others, 1994). The sandbars that occur along the banks of the Colorado River and create camping beaches and backwaters and are habitat used by native fish (Dodrill and others, 2015) are inherently unstable features of an active river channel (Schmidt, 1990). The deposits form when sand, carried in suspension in the main channel of the Colorado River, settles in the lower velocity recirculating currents of eddies (Rubin and others, 1990; Schmidt, 1990). When the flows that resulted in bar deposition recede, leaving a fresh sand deposit, the deposits begin eroding. Decreases in the magnitude and frequency of annual floods have resulted in decreased opportunities for deposition. The complete elimination of sand sources upstream from Glen Canyon Dam decrease the supply that is available when high flows do occur. Finally, the increase in the magnitude of flows throughout the year coupled with daily fluctuations for hydropower generation accelerate rates of erosion for remaining sandbars (Hazel and others, 2010). </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"High-Flow Experiments Assessment Extended Abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Adaptive Management Work Group Meeting","conferenceDate":"March 6-7, 2019","conferenceLocation":"Tempe, AZ","language":"English","publisher":"US Bureau of Reclamation Glen Canyon Dam Adaptive Management Program","usgsCitation":"Grams, P.E., 2019, Sandbar deposition caused by high-flow experiments on the Colorado River downstream from Glen Canyon Dam: November 2012 – November 2018, <i>in</i> High-Flow Experiments Assessment Extended Abstracts, Tempe, AZ, March 6-7, 2019, p. 12-22.","productDescription":"11 p.","startPage":"12","endPage":"22","ipdsId":"IP-108362","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":375129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364489,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/uc/progact/amp/amwg/2019-03-06-amwg-meeting/20190301-HFE_Extended_Abstracts-Combined_FINAL.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon Dam, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.58538818359374,\n              36.84006462037767\n            ],\n            [\n              -111.6650390625,\n              36.848856608486905\n            ],\n      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,{"id":70203736,"text":"70203736 - 2019 - Effects of high flow experiments on riparian vegetation resources in Grand Canyon","interactions":[],"lastModifiedDate":"2020-05-28T18:23:25.745084","indexId":"70203736","displayToPublicDate":"2019-03-31T15:00:14","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of high flow experiments on riparian vegetation resources in Grand Canyon","docAbstract":"<p>Flood events have historically had a strong impact on riparian vegetation within Grand Canyon. Pre-dam sandbars were nearly devoid of perennial riparian vegetation due to the magnitude and frequency of periodic floods (Turner and Karpiscak, 1980). Vegetation has increased since dam closure (Waring, 1995), particularly since the early 1990s (Sankey and others, 2015). This increase in vegetation is attributable to multiple aspects of dam operations, including the low magnitude and duration of High-Flow Experiments (HFEs), specifically flows at 45,000 cfs or smaller over 96 hours. Thus, we begin by providing a broader context for understanding vegetation change, and how other factors interact with HFEs to determine their influence on riparian vegetation. We then discuss the potential mechanisms by which HFEs may impact vegetation, the empirical evidence for those impacts and associated confidence in that evidence, and future research approaches to better fill these gaps in our understanding. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"High-Flow Experiments Assessment Extended Abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Adaptive Management Work Group Meeting","conferenceDate":"March 6-7, 2019","conferenceLocation":"Tempe, AZ","language":"English","publisher":"US Bureau of Reclamation Glen Canyon Dam Adaptive Management Program","usgsCitation":"Butterfield, B., Palmquist, E.C., and Sankey, J.B., 2019, Effects of high flow experiments on riparian vegetation resources in Grand Canyon, <i>in</i> High-Flow Experiments Assessment Extended Abstracts, Tempe, AZ, March 6-7, 2019, p. 23-29.","productDescription":"7 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86011-5640","active":true,"usgs":false}],"preferred":false,"id":763900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763901,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203093,"text":"70203093 - 2019 - Polychlorinated biphenyls (PCBs) in the Pacific sand lance, Puget Sound, Washington","interactions":[],"lastModifiedDate":"2019-06-25T14:57:10","indexId":"70203093","displayToPublicDate":"2019-03-31T14:57:02","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Polychlorinated biphenyls (PCBs) in the Pacific sand lance, Puget Sound, Washington","docAbstract":"Forage fish are small, abundant, schooling planktivores that form a critical link in marine food webs by transferring energy from plankton up to birds, fishes, and marine mammals.  Forage fishes in Puget Sound include the iconic Pacific herring as well as lesser known species such as surf smelt and the Pacific sand lance.  There are significant knowledge gaps regarding the basic life history and population status of Pacific sand lance and no information regarding potential stressors such as contaminants.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2018 Salish Sea Toxics Monitoring Synthesis","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Puget Sound Ecosystem Monitoring Program","collaboration":"Washington Water Science Center, Pacific Coastal and Marine Science Center","usgsCitation":"Liedtke, T., Conn, K., Dinicola, R., and Takesue, R., 2019, Polychlorinated biphenyls (PCBs) in the Pacific sand lance, Puget Sound, Washington, <i>in</i> 2018 Salish Sea Toxics Monitoring Synthesis.","productDescription":"1 p.","startPage":"50","ipdsId":"IP-099095","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":365033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363046,"type":{"id":15,"text":"Index Page"},"url":"https://www.eopugetsound.org/sites/default/files/features/resources/PSEMP_2018SalishSeaToxicsMonitoringSynthesis.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound, Salish Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.815673828125,\n              46.89023157359399\n            ],\n            [\n              -121.97021484374999,\n              46.89023157359399\n            ],\n            [\n              -121.97021484374999,\n              48.95858066440977\n            ],\n            [\n              -124.815673828125,\n              48.95858066440977\n            ],\n            [\n              -124.815673828125,\n              46.89023157359399\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":214912,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Kathleen 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":214913,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinicola, Richard 0000-0003-4222-294X dinicola@usgs.gov","orcid":"https://orcid.org/0000-0003-4222-294X","contributorId":214914,"corporation":false,"usgs":true,"family":"Dinicola","given":"Richard","email":"dinicola@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takesue, Renee 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":214915,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761152,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203737,"text":"70203737 - 2019 - High elevation sand/cultural Sites: The response of source-bordering aeolian dunefields to the 2012-2016 high flow experiments of the Colorado River in Grand Canyon (Extended Abstract)","interactions":[],"lastModifiedDate":"2019-08-13T14:53:51","indexId":"70203737","displayToPublicDate":"2019-03-31T14:51:10","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"High elevation sand/cultural Sites: The response of source-bordering aeolian dunefields to the 2012-2016 high flow experiments of the Colorado River in Grand Canyon (Extended Abstract)","docAbstract":"<p>&nbsp;Glen Canyon Dam has reduced downstream sediment supply to the Colorado River by about&nbsp;95% in the reach upstream of the Little Colorado River confluence and by about 85% below the&nbsp;confluence (Topping and others, 2000). Operation of the dam for hydropower generation has&nbsp;additionally altered the flow regime of the river in Grand Canyon, largely eliminating pre-dam&nbsp;low flows (i.e., below 8,000 ft3/s) that historically exposed large areas of bare sand (U.S.&nbsp;Department of the Interior, 2016a; Kasprak and others, 2018). At the same time, the&nbsp;combination of elevated low flows coupled with the elimination of large, regularly-occurring&nbsp;spring floods in excess of 70,000 ft3/s has led to widespread riparian vegetation encroachment&nbsp;along the river, further reducing the extent of bare sand (U.S. Department of the Interior,&nbsp;2016a, Sankey and others, 2015). Kasprak and others (2018) report that the areal coverage of&nbsp;bare sand has decreased by 45% since 1963 due to vegetation expansion and inundation by&nbsp;river flows. Kasprak and others (2018) forecast that the areal coverage of bare sand in the river&nbsp;corridor will decrease by an additional 12% by 2036, due to further vegetation encroachment&nbsp;and erosion.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"High-Flow Experiments Assessment Extended Abstracts ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Adaptive Management Work Group Meeting","conferenceDate":"March 6-7, 2019","conferenceLocation":"Tempe, AZ","language":"English","publisher":"US Bureau of Reclamation Glen Canyon Dam Adaptive Management Program","usgsCitation":"Sankey, J.B., 2019, High elevation sand/cultural Sites: The response of source-bordering aeolian dunefields to the 2012-2016 high flow experiments of the Colorado River in Grand Canyon (Extended Abstract), <i>in</i> High-Flow Experiments Assessment Extended Abstracts , Tempe, AZ, March 6-7, 2019, p. 30-34.","productDescription":"5 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,{"id":70203738,"text":"70203738 - 2019 - Optimal timing of high-flow experiments for sandbar deposition","interactions":[],"lastModifiedDate":"2019-08-13T14:50:40","indexId":"70203738","displayToPublicDate":"2019-03-31T14:50:30","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Optimal timing of high-flow experiments for sandbar deposition","docAbstract":"<p>Sediment-transport theory and field measurements indicate that the greatest or most efficient deposition of sand in eddies occurs during controlled floods (a.k.a. High-Flow Experiments or HFEs) when the greatest amount of the finest sand is available on the bed of the Colorado River (Topping and others, 2010). Conducting HFEs when the sand on the bed of the Colorado River is depleted and coarse can result in relatively widespread erosion of sandbars during HFEs (Hazel and others, 1999; Schmidt, 1999, Rubin and others, 2002). Here we show that sandbar building during HFEs is maximized during periods following tributary floods that resupply the river with large amounts of very fine sand. Conversely, sandbars erode during HFEs when the antecedent sand supply is depleted and coarse. HFEs should be conducted during the fall-winter months of October through January to take advantage of having the greatest amount of very fine sand available on the bed of the Colorado River in Marble Canyon. Conducting HFEs in the spring would necessitate lowering dam operations over the winter months in order to retain the very fine sand supplied during the previous summer.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"High-Flow Experiments Assessment Extended Abstracts ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Adaptive Management Work Group Meeting","conferenceDate":"March 6-7, 2019","conferenceLocation":"Tempe, AZ","language":"English","publisher":"US Bureau of Reclamation Glen Canyon Dam Adaptive Management Program","usgsCitation":"Topping, D.J., Grams, P.E., Griffiths, R.E., Hazel, J.E., Kaplinski, M., Dean, D.J., Voichick, N., Unema, J.A., and Sabol, T.A., 2019, Optimal timing of high-flow experiments for sandbar deposition, <i>in</i> High-Flow Experiments Assessment Extended Abstracts , Tempe, AZ, March 6-7, 2019, p. 3-9.","productDescription":"7 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