{"pageNumber":"763","pageRowStart":"19050","pageSize":"25","recordCount":165466,"records":[{"id":70227780,"text":"70227780 - 2019 - Future of Whooping Crane conservation and science","interactions":[],"lastModifiedDate":"2022-01-31T17:33:45.969889","indexId":"70227780","displayToPublicDate":"2018-09-04T11:07:34","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Future of Whooping Crane conservation and science","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Whooping cranes: Biology and conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-803555-9.00024-4","usgsCitation":"Converse, S.J., French, J.B., and Austin, J.E., 2019, Future of Whooping Crane conservation and science, chap. <i>of</i> Whooping cranes: Biology and conservation, p. 506-516, https://doi.org/10.1016/B978-0-12-803555-9.00024-4.","productDescription":"11 p.","startPage":"506","endPage":"516","ipdsId":"IP-092690","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"French, John B. 0000-0001-8901-7092 jbfrench@usgs.gov","orcid":"https://orcid.org/0000-0001-8901-7092","contributorId":377,"corporation":false,"usgs":true,"family":"French","given":"John","email":"jbfrench@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832212,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204762,"text":"70204762 - 2019 - Neutral genetic and phenotypic variation within and among isolated headwater Brook Trout populations","interactions":[],"lastModifiedDate":"2020-08-06T20:32:23.350932","indexId":"70204762","displayToPublicDate":"2018-09-04T10:49:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Neutral genetic and phenotypic variation within and among isolated headwater Brook Trout populations","docAbstract":"Isolated populations are challenging to manage and conserve as they are particularly vulnerable to genetic drift, allelic fixation, inbreeding, and may express markedly reduced phenotypic variability. We sought to improve our understanding of how spatial isolation, occupancy range, and restricted gene flow influence contemporary phenotypic variation within and among native populations of Brook Trout Salvelinus fontinalis by examining the neutral genetic and phenotypic characteristics of 35 isolated headwater populations from Great Smoky Mountains National Park. Across a suite of 13 neutral microsatellite loci, we observed high levels of allelic fixation and considerable genetic differentiation among populations, subwatersheds, and watersheds that were consistent with patterns of isolation. We observed significant, positive correlations between allelic diversity and estimates of effective population sizes. In contrast, we observed considerably less phenotypic structure among streams, subwatersheds, and watersheds. Much of the phenotypic variation observed occurred among individuals within populations. Pairwise Mann‐Whitney tests revealed no significant phenotypic differences among the populations of Brook Trout we examined. Similarly, we observed no significant relationship between the amount of phenotypic variation within populations and any of the examined measures of genetic diversity or the amount of occupied habitat sampled, which suggests that unmeasured variables may be influencing morphometric and meristic variation within isolated populations. The observed patterns of isolation, genetic drift, and allelic fixation highlight the importance of enhancing population connectivity, but also suggest considerable phenotypic variability may persist within small, fragmented populations. Our results elucidate some challenges associated with managing and conserving isolated populations of Brook Trout, and reinforce the importance of conducting genetic studies on fragmented populations to inform management decisions.","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10115","usgsCitation":"Weathers, T.C., Kazyak, D.C., Stauffer, J.R., Kulp, M.A., Moore, S.E., King, T.L., and Carlson, J., 2019, Neutral genetic and phenotypic variation within and among isolated headwater Brook Trout populations: Transactions of the American Fisheries Society, v. 148, no. 1, p. 58-72, https://doi.org/10.1002/tafs.10115.","productDescription":"15 p.","startPage":"58","endPage":"72","ipdsId":"IP-086603","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":366568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Weathers, T. Casey","contributorId":218129,"corporation":false,"usgs":false,"family":"Weathers","given":"T.","email":"","middleInitial":"Casey","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":768371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":768370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauffer, Jay R. Jr.","contributorId":119700,"corporation":false,"usgs":false,"family":"Stauffer","given":"Jay","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":768372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":768373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Steve E.","contributorId":218131,"corporation":false,"usgs":false,"family":"Moore","given":"Steve","email":"","middleInitial":"E.","affiliations":[{"id":39761,"text":"Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":768374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":768375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carlson, John E.","contributorId":19996,"corporation":false,"usgs":false,"family":"Carlson","given":"John E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":794968,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203854,"text":"70203854 - 2019 - Optical characterization of two cyanobacteria genera, Aphanizomenon and Microcystis, with hyperspectral microscopy.","interactions":[],"lastModifiedDate":"2019-06-18T09:27:20","indexId":"70203854","displayToPublicDate":"2018-09-04T09:26:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Optical characterization of two cyanobacteria genera, Aphanizomenon and Microcystis, with hyperspectral microscopy.","docAbstract":"Cyanobacterial blooms are a nuisance and a potential hazard in freshwater \nsystems worldwide. Remote sensing has been used to detect cyanobacterial  \nblooms, but few studies have distinguished between genera of cyanobacteria.\nBecause some genera are more likely to be toxic than others, this is a useful\ndistinction.In this study, hyperspectral imaging reflectance microscopy was used \nto examine cyanobacteria from Upper Klamath Lake, Oregon, USA, at high spatial \nand spectral resolution to determine if two species found commonly in the lake, \nAphanizomenon flos-aquae and Microcystis aeruginosa, can be separated \nspectrally. Of the analytical methods applied, a spectral shape algorithm applied\nto the derivative was found to be most successful in classifying these species\nin microscope scenes. Further work is required to determine if the spectral\ncharacterization of cyanobacterial genera can be scaled up to other remote\nsensing applications.","language":"English","publisher":"Spie","doi":"10.1117/1.JRS.12.036013","usgsCitation":"Paine, E., Slonecker, E., Simon, N.S., Rosen, B.H., Resmini, R.G., and Allen, D.W., 2019, Optical characterization of two cyanobacteria genera, Aphanizomenon and Microcystis, with hyperspectral microscopy.: Journal of Applied Remote Sensing, v. 12, no. 3, 13 p., https://doi.org/10.1117/1.JRS.12.036013.","productDescription":"13 p.","ipdsId":"IP-087608","costCenters":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"links":[{"id":468102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1117/1.jrs.12.036013","text":"Publisher Index Page"},{"id":364759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.70355224609374,\n              41.65034063112266\n            ],\n            [\n              -120.44586181640624,\n              41.65034063112266\n            ],\n            [\n              -120.44586181640624,\n              43.18715513581086\n            ],\n            [\n              -122.70355224609374,\n              43.18715513581086\n            ],\n            [\n              -122.70355224609374,\n              41.65034063112266\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paine, Emily 0000-0002-8508-5255","orcid":"https://orcid.org/0000-0002-8508-5255","contributorId":216311,"corporation":false,"usgs":true,"family":"Paine","given":"Emily","email":"","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":764489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slonecker, E. Terrence","contributorId":20677,"corporation":false,"usgs":true,"family":"Slonecker","given":"E. Terrence","affiliations":[],"preferred":false,"id":764490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simon, Nancy S. 0000-0003-2706-7611 nssimon@usgs.gov","orcid":"https://orcid.org/0000-0003-2706-7611","contributorId":838,"corporation":false,"usgs":true,"family":"Simon","given":"Nancy","email":"nssimon@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":764491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosen, Barry H. 0000-0002-8016-3939 brosen@usgs.gov","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":2844,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","email":"brosen@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":764492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Resmini, Ronald G.","contributorId":176124,"corporation":false,"usgs":false,"family":"Resmini","given":"Ronald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":764493,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, David W.","contributorId":176123,"corporation":false,"usgs":false,"family":"Allen","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":764494,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203410,"text":"70203410 - 2019 - A global empirical model for near real-time assessment of seismically induced landslides","interactions":[],"lastModifiedDate":"2019-05-14T08:15:34","indexId":"70203410","displayToPublicDate":"2018-09-03T12:40:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"A global empirical model for near real-time assessment of seismically induced landslides","docAbstract":"Earthquake-triggered landslides are a significant hazard in seismically active regions, but our ability to assess the hazard they pose in near real-time is limited.  In this study, we present a new globally applicable model for seismically induced landslides based on the most comprehensive global dataset available; we use 23 landslide inventories that span a range of earthquake magnitudes and climatic and tectonic settings. We use logistic regression to relate the presence and distribution of earthquake-triggered landslides with spatially distributed estimates of ground shaking, topographic slope, lithology, land-cover type, and a topographic index designed to estimate variability in soil wetness to provide an empirical model of landslide distribution. We tested over 100 combinations of independent predictor variables to find the best-fitting model, using a diverse set of statistical tests. Blind validation tests show the model accurately estimates the distribution of available landslide inventories. The results indicate that the model is reliable and stable, with high “balanced accuracy” (correctly vs. incorrectly classified pixels) for the majority of test events. A cross validation analysis shows high balanced accuracy for a majority of events as well. By combining near-real time estimates of ground shaking with globally available landslide susceptibility data, this model provides a tool to estimate the distribution of  co-seismic landslide hazard within minutes of the occurrence of any earthquake worldwide for which a USGS ShakeMap is available.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017JF004494","usgsCitation":"Nowicki Jessee, M.A., Hamburger, M., Allstadt, K.E., Wald, D.J., Tanyas, H., Hearne, M., and Thompson, E., 2019, A global empirical model for near real-time assessment of seismically induced landslides: Journal of Geophysical Research: Earth Surface, v. 123, no. 8, p. 1835-1859, https://doi.org/10.1029/2017JF004494.","productDescription":"25 p.","startPage":"1835","endPage":"1859","ipdsId":"IP-098592","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":460573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jf004494","text":"Publisher Index Page"},{"id":363731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nowicki Jessee, M. Anna 0000-0001-8076-7647","orcid":"https://orcid.org/0000-0001-8076-7647","contributorId":197022,"corporation":false,"usgs":false,"family":"Nowicki Jessee","given":"M.","email":"","middleInitial":"Anna","affiliations":[],"preferred":false,"id":762617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamburger, M.W.","contributorId":20560,"corporation":false,"usgs":true,"family":"Hamburger","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":762618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":762619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tanyas, H.","contributorId":215536,"corporation":false,"usgs":false,"family":"Tanyas","given":"H.","affiliations":[],"preferred":false,"id":762621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, E.M.","contributorId":215538,"corporation":false,"usgs":false,"family":"Thompson","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":762623,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206189,"text":"70206189 - 2019 - Subsidies from anadromous sea lamprey (<i>Petromyzon marinus</i>) carcasses function as a reciprocal nutrient exchange between marine and freshwaters","interactions":[],"lastModifiedDate":"2019-10-25T07:14:32","indexId":"70206189","displayToPublicDate":"2018-09-03T07:13:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Subsidies from anadromous sea lamprey (<i>Petromyzon marinus</i>) carcasses function as a reciprocal nutrient exchange between marine and freshwaters","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Nutrient and energy flows across ecosystem boundaries subsidize recipient communities and influence bottom‐up processes in food webs. Migratory fish such as anadromous sea lamprey provide a pulse of marine‐derived nutrients and energy to Atlantic coastal streams in spring when organisms would otherwise be subject to limiting resources. We conducted sea lamprey carcass addition experiments to characterize the role of subsidies on producer and consumer trophic pathways by manipulating subsidy quantity and light exposure. We demonstrated that producer and decomposer productivity is constrained by nutrients during spring; however, these limitations were reduced in producers as light limitations intensified through riparian shading. We observed no significant effects of increasing carcass subsidies on producer and decomposer biomass. Our results suggest that high densities of carcass subsidies may stimulate primary productivity; however, these effects are mediated by the degree of riparian shading, which demonstrated a onefold to fourfold difference in biomass accrual. In addition, sea lamprey carcass nutrients were captured by larval conspecifics. Stable isotopes analysis demonstrated that adult sea lamprey carcass tissue was relatively enriched in<span>&nbsp;</span><sup>15</sup>N and<span>&nbsp;</span><sup>13</sup>C isotopes compared with larvae. We observed significant enrichment in the<span>&nbsp;</span><sup>13</sup>C isotope among larvae sampled after 2 and 4&nbsp;weeks of exposure to adult carcass nutrients. Our work suggests that a portion of sea lamprey subsidies serve as a reciprocal exchange between freshwaters and the ocean. We highlight that this cross‐ecosystem linkage is likely influenced by subsidy quantity from donor systems and is mediated by environmental characteristics affecting the recipient system.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3291","usgsCitation":"Zydlewski, J.D., 2019, Subsidies from anadromous sea lamprey (<i>Petromyzon marinus</i>) carcasses function as a reciprocal nutrient exchange between marine and freshwaters: River Research and Applications, v. 34, no. 7, p. 824-833, https://doi.org/10.1002/rra.3291.","productDescription":"10 p.","startPage":"824","endPage":"833","ipdsId":"IP-087198","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":368594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":773795,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70198981,"text":"70198981 - 2019 - Hypotheses from recent assessments of climate impacts to biodiversity and ecosystems in the United States","interactions":[],"lastModifiedDate":"2020-12-09T13:20:36.69401","indexId":"70198981","displayToPublicDate":"2018-09-02T10:39:53","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hypotheses from recent assessments of climate impacts to biodiversity and ecosystems in the United States","docAbstract":"Climate change poses multiple threats to biodiversity, and has already caused demonstrable impacts. We summarize key results from a recent national assessment of observed climate change impacts to terrestrial, marine, and freshwater ecosystems in the United States, and place results in the context of commonly articulated hypotheses about ecosystem response to climate change for global implications. Specific impacts we consider include: range shifts; phenological shifts; phenotypic changes; primary production changes; biological invasions; and novel communities. Significant effort has been made recently to incorporate adaptation measures into land and water management at both national and international scales, but the scale of impacts and associated uncertainties pose challenges to existing management institutions. Using commonly articulated hypotheses about climate change, biodiversity, and ecosystem response can provide context for informed decisions at multiple scales and can help to provide a clearer understanding of the ecological and mechanistic linkages between climate change and biodiversity.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of climate change and biodiversity","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-98681-4_22","usgsCitation":"Carter, S.L., Lynch, A., Myers, B., Rubenstein, M.A., and Thompson, L.M., 2019, Hypotheses from recent assessments of climate impacts to biodiversity and ecosystems in the United States, chap. <i>of</i> Handbook of climate change and biodiversity, p. 355-375, https://doi.org/10.1007/978-3-319-98681-4_22.","productDescription":"21 p.","startPage":"355","endPage":"375","ipdsId":"IP-093605","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":357018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","scienceBaseUri":"5b98a25ee4b0702d0e842e3a","contributors":{"editors":[{"text":"Filho, Walter Leal","contributorId":147262,"corporation":false,"usgs":false,"family":"Filho","given":"Walter","email":"","middleInitial":"Leal","affiliations":[{"id":33331,"text":"Hamburg University","active":true,"usgs":false}],"preferred":false,"id":744024,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Barbir, Jelena","contributorId":17950,"corporation":false,"usgs":false,"family":"Barbir","given":"Jelena","email":"","affiliations":[],"preferred":false,"id":744025,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Preziosi, Richard","contributorId":94948,"corporation":false,"usgs":false,"family":"Preziosi","given":"Richard","email":"","affiliations":[{"id":25496,"text":"Manchester Metropolitan University","active":true,"usgs":false}],"preferred":false,"id":744026,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Carter, Shawn L. 0000-0002-0045-4681 scarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0045-4681","contributorId":3110,"corporation":false,"usgs":true,"family":"Carter","given":"Shawn","email":"scarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myers, Bonnie 0000-0002-3170-2633 bjmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-3170-2633","contributorId":176495,"corporation":false,"usgs":true,"family":"Myers","given":"Bonnie","email":"bjmyers@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Laura M. 0000-0002-7884-6001 lthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":5366,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","email":"lthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":743627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204344,"text":"70204344 - 2019 - Evaluating potential effects of bigheaded carps on fatty acid profiles of multiple trophic levels in large rivers of the Midwest, USA","interactions":[],"lastModifiedDate":"2019-07-18T14:13:17","indexId":"70204344","displayToPublicDate":"2018-09-01T14:05:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating potential effects of bigheaded carps on fatty acid profiles of multiple trophic levels in large rivers of the Midwest, USA","docAbstract":"Recent work indicates that the establishment of bigheaded carps (Hypophthalmichthys spp.) in the United States has led to a reduction in condition of native planktivores and may detrimentally affect other trophic levels by altering the base of aquatic food webs. We used fatty acids to evaluate potential effects of bigheaded carps on taxa from multiple trophic levels in the Upper Mississippi, Illinois, and St. Croix rivers. Seston fatty acid concentrations were highest in the Illinois River lotic sites and connected backwaters and were positively associated with omega-3 highly unsaturated fatty acids, indicating that these locations had abundant, high-quality basal food resources despite hosting the greatest bigheaded carp densities. Fatty acid profiles of threeridge freshwater mussels tracked the fatty acid values in the seston and were not influenced by bigheaded carp abundances. Hydropsychid caddisflies and bluegill did not differ significantly in total fatty acids or percent lipid among spatial locations, indicating that omnivorous species may be relatively unaffected by bigheaded carps. Gizzard shad, however, exhibited the lowest fatty acid concentrations in the locations with the highest relative bigheaded carp densities, and multivariate models identified bigheaded carp densities as the predictive factor that explained the greatest amount of variability. Zooplankton abundance has been greatly reduced after bigheaded carps establishment in the Illinois River, which may explain the disconnect between the gizzard shad fatty acids and the plentiful, high-quality phytoplankton in that river. Our data provide additional evidence that bigheaded carps are negatively affecting native planktivores such as gizzard shad.","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2018.e00095","usgsCitation":"Fritts, A.K., Knights, B.C., LaFrancois, T., Vallazza, J.M., Bartsch, L., Bartsch, M.R., Richardson, W.B., Bailey, S., Kreiling, R.M., and Karns, B., 2019, Evaluating potential effects of bigheaded carps on fatty acid profiles of multiple trophic levels in large rivers of the Midwest, USA: Food Webs, v. 16, e00095, https://doi.org/10.1016/j.fooweb.2018.e00095.","productDescription":"e00095","ipdsId":"IP-097779","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2018.e00095","text":"Publisher Index Page"},{"id":365724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365703,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2018.e00095"}],"country":"United States","state":"Minnesota, Iowa, Missouri, Wisconsin, Illinois, Michigan, Indiana, Ohio, North Dakota, South Dakota, Nebraska, 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 \"}}]}","volume":"16","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knights, Brent C. 0000-0001-8526-8468 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":766436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaFrancois, Toben","contributorId":173075,"corporation":false,"usgs":false,"family":"LaFrancois","given":"Toben","affiliations":[],"preferred":false,"id":766437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karns, Byron","contributorId":192390,"corporation":false,"usgs":false,"family":"Karns","given":"Byron","affiliations":[],"preferred":false,"id":766444,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70204361,"text":"70204361 - 2019 - Intensive sampling reveals underreported use of great-river tributaries by large-river fishes in Missouri","interactions":[],"lastModifiedDate":"2019-07-22T11:46:41","indexId":"70204361","displayToPublicDate":"2018-09-01T11:46:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Intensive sampling reveals underreported use of great-river tributaries by large-river fishes in Missouri","docAbstract":"<p><span>Large tributaries may help sustain large-river fish populations by mitigating fish-habitat losses within the highly modified great rivers of the Mississippi River basin. These tributaries are likely most beneficial for fish species specializing on non-degraded large-river habitat for some portion of their life histories. Few great-river tributaries, however, have been surveyed using methods that comprehensively target all fish species, resulting in uncertainty or bias in the reported composition of many tributary fish assemblages. We report important distributional records, including 23 new accounts, for 12 large-river specialist fishes in Missouri</span><i>—Alosa alabamae</i><span>&nbsp;(Alabama Shad),&nbsp;</span><i>Cycleptus elongatus</i><span>&nbsp;(Blue Sucker),&nbsp;</span><i>Pimephales vigilax</i><span>&nbsp;(Bullhead Minnow),&nbsp;</span><i>Notropis wickliffi</i><span>&nbsp;(Channel Shiner),&nbsp;</span><i>Polyodon</i><span>&nbsp;</span><i>spathula</i><span>&nbsp;(Paddlefish),&nbsp;</span><i>Hybognathus placitus</i><span>&nbsp;(Plains Minnow),&nbsp;</span><i>N. blennius</i><span>&nbsp;(River Shiner),&nbsp;</span><i>Macrhybopsis hyostoma</i><span>&nbsp;(Shoal Chub),&nbsp;</span><i>Scaphirhynchus platorynchus</i><span>&nbsp;(Shovelnose Sturgeon),&nbsp;</span><i>M. storeriana</i><span>&nbsp;(Silver Chub),&nbsp;</span><i>Ichthyomyzon unicuspis</i><span>&nbsp;(Silver Lamprey), and&nbsp;</span><i>Alosa</i><span>&nbsp;</span><i>chrysochloris</i><span>(Skipjack Herring)—following 38 comprehensive fish surveys in tributaries of the Missouri and Mississippi rivers. New accounts collectively demonstrate tributaries support more large-river specialists than historically documented and thus may be currently undervalued sources of habitat for large-river fishes.</span></p>","language":"English","publisher":"BioOne","doi":"10.1656/058.017.0316","usgsCitation":"Dunn, C.G., Brooke, B.L., Hrabik, R.A., and Paukert, C.P., 2019, Intensive sampling reveals underreported use of great-river tributaries by large-river fishes in Missouri: Southeastern Naturalist, v. 17, no. 3, p. 512-520, https://doi.org/10.1656/058.017.0316.","productDescription":"9 p.","startPage":"512","endPage":"520","ipdsId":"IP-081171","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"links":[{"id":365776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-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 \"}}]}","volume":"17","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunn, Corey G.","contributorId":191569,"corporation":false,"usgs":false,"family":"Dunn","given":"Corey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":766671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooke, Brandon L.","contributorId":217378,"corporation":false,"usgs":false,"family":"Brooke","given":"Brandon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":766672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrabik, Robert A.","contributorId":148008,"corporation":false,"usgs":false,"family":"Hrabik","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":766673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":766522,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206272,"text":"70206272 - 2019 - Interactive effects of severe drought and grazing on the life history cycle of a bioindicator species on the edge of its range","interactions":[],"lastModifiedDate":"2019-10-29T08:25:58","indexId":"70206272","displayToPublicDate":"2018-09-01T08:24:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of severe drought and grazing on the life history cycle of a bioindicator species on the edge of its range","docAbstract":"Recurring drought and grazing are ecological drivers of semi-arid grasslands on the Southern High Plains, USA; however, ecological drivers are currently undergoing human-induced alterations, which likely have implications for wildlife. We used the lesser prairie-chicken (Tympanuchus pallidicinctus), an iconic grouse species that exhibits a boom-bust life history strategy, on the Southern High Plains, USA, as a bioindicator of main and interactive effects of severe drought and grazing. This region encompasses the southern and westernmost part of the lesser prairie-chicken range and experienced the worst drought on record in 2011. We surveyed lesser prairie-chicken leks (i.e., communal breeding grounds) across 12 years that represented 7 years before the 2011 drought (\"pre-drought\") and 4 years during and following the 2011 drought (\"post-drought\"). Grazing was annually managed with the objective of achieving ≤50% utilization of above-ground vegetation biomass. We used lek (n = 49) count data and covariates of weather and managed grazing to: 1) estimate long-term lesser prairie-chicken abundance and compare abundance pre-drought and post-drought; 2) examine annually the influence of drought (modified Palmer Drought Index), temperature, the number of days with maximum temperature >75th percentile, and precipitation on long-term lesser prairie-chicken survival and recruitment; and 3) assess and compare the influence of grazing on lesser prairie-chickens pre-drought and post-drought. Lesser prairie-chicken abundance was nearly 7 times greater pre-drought than post-drought, and population declines were attributed to decreased survival and recruitment. The number of days with temperature >75th percentile had the greatest effect, particularly on recruitment. The population exhibited a substantial bust during 2011 and 2012 without a boom to recover in 4 post-drought years. Adaptive grazing positively influenced the population pre-drought, but had no effects post-drought. Results suggest that the severe drought in 2011 may have been beyond the range of environmental conditions to which lesser prairie-chickens, and likely other species, have adapted. Land management practices, such as grazing, should remain adaptive to ensure potential negative influences to all species are avoided. Increasing habitat quantity and quality by reducing habitat loss and fragmentation likely will increase resiliency of the ecosystem and individual species.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4432","usgsCitation":"Haukos, D.A., Boal, C.W., Fritts1, S.R., B. A. Grisham1, R. D. Cox1, McDaniel4, P., Hagen, C.A., and Greene6, D.U., 2019, Interactive effects of severe drought and grazing on the life history cycle of a bioindicator species on the edge of its range: Ecology and Evolution, v. 8, no. 18, p. 9550-9562, https://doi.org/10.1002/ece3.4432.","productDescription":"13 p.","startPage":"9550","endPage":"9562","ipdsId":"IP-088180","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":460577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4432","text":"Publisher Index Page"},{"id":368692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Southern High Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.19433593749999,\n              31.700129553985924\n            ],\n            [\n              -99.5361328125,\n              31.700129553985924\n            ],\n            [\n              -99.5361328125,\n              36.01356058518153\n            ],\n            [\n              -104.19433593749999,\n              36.01356058518153\n            ],\n            [\n              -104.19433593749999,\n              31.700129553985924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"18","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":774037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":774038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritts1, S. R.","contributorId":220068,"corporation":false,"usgs":false,"family":"Fritts1","given":"S.","email":"","middleInitial":"R.","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":774039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"B. A. Grisham1","contributorId":220069,"corporation":false,"usgs":false,"family":"B. A. Grisham1","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":774040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"R. D. Cox1","contributorId":220070,"corporation":false,"usgs":false,"family":"R. D. Cox1","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":774041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDaniel4, P.","contributorId":220071,"corporation":false,"usgs":false,"family":"McDaniel4","given":"P.","email":"","affiliations":[{"id":40129,"text":"chmm","active":true,"usgs":false}],"preferred":false,"id":774042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hagen, C. A.","contributorId":220072,"corporation":false,"usgs":false,"family":"Hagen","given":"C.","email":"","middleInitial":"A.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":774043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greene6, D. U.","contributorId":220073,"corporation":false,"usgs":false,"family":"Greene6","given":"D.","email":"","middleInitial":"U.","affiliations":[{"id":40130,"text":"wc","active":true,"usgs":false}],"preferred":false,"id":774044,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70227934,"text":"70227934 - 2019 - Acoustic telemetry and benthic habitat mapping inform the spatial ecology of Shortnose Sturgeon in the Hudson River, New York, USA","interactions":[],"lastModifiedDate":"2022-02-02T17:50:48.6856","indexId":"70227934","displayToPublicDate":"2018-08-31T11:14:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic telemetry and benthic habitat mapping inform the spatial ecology of Shortnose Sturgeon in the Hudson River, New York, USA","docAbstract":"<p><span>A history of overexploitation and industrialization of riverine habitats has impacted the Shortnose Sturgeon&nbsp;</span><i>Acipenser brevirostrum</i><span>, leading this species to become one of the earliest listed under the U.S. Endangered Species Act. The present understanding of Shortnose Sturgeon spatial ecology is based on observations from a limited number of Atlantic coastal rivers. To better understand Shortnose Sturgeon in the Hudson River, New York, we used acoustic telemetry to characterize seasonal habitat use and to identify regions of the river where seasonal sturgeon activity occurred. From 2012 to 2016, 101 adult fish were tagged and tracked, and sturgeon detections per unit effort (a metric of fish observation standardized by search effort) were evaluated against benthic habitat variables by using generalized additive regression models. Models indicated strong habitat associations in the spring season defined by gravel-dominated substrates and specific depth ranges, presumably associated with spawning activity. During summer, Shortnose Sturgeon were more dispersed, associating with muddy habitats, whereas in fall/winter, sturgeon congregated in specific regions of the river. These data demonstrate that river use and habitat associations vary seasonally and identify important areas for managing overlap between seasonal habitat use by Shortnose Sturgeon and human activity on the river.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10114","usgsCitation":"Pendleton, R., Standley, C.R., Higgs, A.L., Kenney, G.H., Sullivan, P., Sethi, S., and Harris, B.P., 2019, Acoustic telemetry and benthic habitat mapping inform the spatial ecology of Shortnose Sturgeon in the Hudson River, New York, USA: Transactions of the American Fisheries Society, v. 148, no. 1, p. 35-47, https://doi.org/10.1002/tafs.10114.","productDescription":"13 p.","startPage":"35","endPage":"47","ipdsId":"IP-095043","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.2071533203125,\n              40.80965166748853\n            ],\n            [\n              -73.47656249999999,\n              40.80965166748853\n            ],\n            [\n              -73.47656249999999,\n              42.75911283724358\n            ],\n            [\n              -74.2071533203125,\n              42.75911283724358\n            ],\n            [\n              -74.2071533203125,\n              40.80965166748853\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"148","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Pendleton, Richard M.","contributorId":273135,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard M.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Standley, Christopher R.","contributorId":273136,"corporation":false,"usgs":false,"family":"Standley","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":56430,"text":"New York State Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":832605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higgs, Amanda L.","contributorId":273137,"corporation":false,"usgs":false,"family":"Higgs","given":"Amanda","email":"","middleInitial":"L.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenney, Gregg H.","contributorId":273138,"corporation":false,"usgs":false,"family":"Kenney","given":"Gregg","email":"","middleInitial":"H.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Patrick J.","contributorId":273139,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, Bradley P.","contributorId":273140,"corporation":false,"usgs":false,"family":"Harris","given":"Bradley","email":"","middleInitial":"P.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":832609,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206328,"text":"70206328 - 2019 - A landscape-level assessment of whitebark pine regeneration in the Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2019-10-30T15:05:11","indexId":"70206328","displayToPublicDate":"2018-08-29T15:02:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1688,"text":"Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"A landscape-level assessment of whitebark pine regeneration in the Rocky Mountains, USA","docAbstract":"Whitebark pine (Pinus albicaulis Engelm.) has recently experienced high mortality due to multiple stressors, and future population viability may rely on natural regeneration. We assessed whitebark pine seedling densities throughout the US Rocky Mountains and identified stand, site, and climatic variables related to seedling presence based on data from 1,217 USDA Forest Service Forest Inventory and Analysis plots. Although mean densities were highest in the whitebark pine forest type, 83% of sites with seedlings present occurred in non-whitebark pine forest types, and the highest densities occurred in the lodgepole pine forest type. To identify factors related to whitebark pine seedling presence, we compared the results generated from three statistical models: logistic regression, classification tree, and random forests. All three models identified cover of grouse whortleberry (Vaccinium scoparium Leiberg ex Coville) as an important predictor, two models distinguished live and dead whitebark pine basal area and elevation, and one model recognized seasonal temperature. None of the models identified forest type as an important predictor. Understanding these factors may help managers identify areas where natural regeneration of whitebark pine is likely to occur, including sites in non-whitebark pine forest types.","language":"English","publisher":"Oxford Academic","doi":"10.1093/forsci/fxy029","usgsCitation":"Goeking, S., Izlar, D., and Edwards, T., 2019, A landscape-level assessment of whitebark pine regeneration in the Rocky Mountains, USA: Forest Science, v. 65, no. 1, p. 87-99, https://doi.org/10.1093/forsci/fxy029.","productDescription":"13 p.","startPage":"87","endPage":"99","ipdsId":"IP-088499","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/forsci/fxy029","text":"Publisher Index Page"},{"id":368752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.861328125,\n              46.86019101567027\n            ],\n            [\n              -113.466796875,\n              42.4234565179383\n            ],\n            [\n              -111.005859375,\n              40.17887331434696\n            ],\n            [\n              -107.57812499999999,\n              39.977120098439634\n            ],\n            [\n              -108.19335937499999,\n              38.34165619279595\n            ],\n            [\n              -106.787109375,\n              36.10237644873644\n            ],\n            [\n              -103.88671875,\n              37.09023980307208\n            ],\n            [\n              -104.32617187499999,\n              39.027718840211605\n            ],\n            [\n              -105.46875,\n              40.84706035607122\n            ],\n            [\n              -106.69921875,\n              43.389081939117496\n            ],\n            [\n              -110.74218749999999,\n              46.255846818480315\n            ],\n            [\n              -113.02734374999999,\n              47.45780853075031\n            ],\n            [\n              -113.818359375,\n              48.86471476180277\n            ],\n            [\n              -116.19140625,\n              48.80686346108517\n            ],\n            [\n              -117.861328125,\n              46.86019101567027\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"65","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Goeking, Sara","contributorId":220117,"corporation":false,"usgs":false,"family":"Goeking","given":"Sara","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":774171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izlar, Deborah","contributorId":220118,"corporation":false,"usgs":false,"family":"Izlar","given":"Deborah","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":774172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":774170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204364,"text":"70204364 - 2019 - Identifying optimal hauling densities for adult Chinook Salmon trap and haul operations","interactions":[],"lastModifiedDate":"2019-12-22T14:46:20","indexId":"70204364","displayToPublicDate":"2018-08-29T12:14:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Identifying optimal hauling densities for adult Chinook Salmon trap and haul operations","docAbstract":"Trap and haul programs are used to conserve fish populations by circumventing high mortality locations or events, and enhancing population abundance by reintroducing fish to historical habitats and mitigating for fish passage limitations.  Spring run Chinook Salmon are transported in trucks upstream of barrier dams in Willamette River Tributaries as part of fish conservation efforts.  Fish mortalities occurring during hauling minimizes the utility of the effort because natural origin fish are targeted for theses outplanting efforts. The objectives of this study were to develop models predicting hauling mortality and identify optimal hauling densities that minimize mortality risk and effort.  We used an information-theoretic approach to evaluate multiple models predicting hauling mortality.  Predictors identified varied between the two dams evaluated but were related to operations and annual or in-river conditions.  The amount of time loading fish and the density of fish in tank trucks were positively associated with hauling mortality.  Instream flows and thermal exposure were also identified as factors predicting with hauling mortality.  We used the results of model selection to predict mortality risk and calculate daily hauling effort.  Risk and effort were combined into a utility to identify optimal hauling densities for varying numbers of fish to haul and transport truck volume. Optimal hauling densities varied between dams reflecting whether loading time or hauling density was associated with hauling mortality.  This analysis provides managers a way to integrate research, monitoring, and management to improve understanding of factors associated with hauling mortality and adjust optimal hauling densities using adaptive management.","language":"English","publisher":"Wiley","doi":"10.1002/rra.3348","usgsCitation":"Colvin, M., Peterson, J., Sharpe, C., Kent, M., and Schreck, C.B., 2019, Identifying optimal hauling densities for adult Chinook Salmon trap and haul operations: River Research and Applications, v. 34, no. 9, https://doi.org/10.1002/rra.3348.","productDescription":"10 p.","startPage":"1167","ipdsId":"IP-081335","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":365795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.02490234375,\n              43.97700467496408\n            ],\n            [\n              -122.64038085937499,\n              44.37098696297173\n            ],\n            [\n              -122.618408203125,\n              45.236217535866025\n            ],\n            [\n              -122.11303710937499,\n              45.36758436884978\n            ],\n            [\n              -122.508544921875,\n              45.72152152227954\n            ],\n            [\n              -122.991943359375,\n              45.805828539928356\n            ],\n            [\n              -123.211669921875,\n              45.52944081525666\n            ],\n            [\n              -123.49731445312499,\n              45.042478050891546\n            ],\n            [\n              -123.49731445312499,\n              44.715513732021336\n            ],\n            [\n              -123.50830078125,\n              44.19795903948531\n            ],\n            [\n              -123.02490234375,\n              43.97700467496408\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"9","edition":"1158","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Colvin, Michael","contributorId":201736,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael","email":"","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":766541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":766539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Cameron","contributorId":178951,"corporation":false,"usgs":false,"family":"Sharpe","given":"Cameron","email":"","affiliations":[],"preferred":false,"id":766542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Michael L.","contributorId":108420,"corporation":false,"usgs":true,"family":"Kent","given":"Michael L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":766543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":766540,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204962,"text":"70204962 - 2019 - Characterizing residence patterns of North Atlantic right whales in the southeastern U.S. with a multistate open robust design model","interactions":[],"lastModifiedDate":"2019-08-28T09:20:29","indexId":"70204962","displayToPublicDate":"2018-08-29T08:52:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing residence patterns of North Atlantic right whales in the southeastern U.S. with a multistate open robust design model","docAbstract":"Effective conservation of endangered North Atlantic right whales (Eubalaena glacialis) requires information about their spatio-temporal distribution. Understanding temporal distribution is particularly important, because a portion of the population migrates between high latitude summer feeding grounds off the northeastern U.S. and Canadian Maritimes coasts and lower latitude calving and wintering grounds off the southeastern U.S. coast (SEUS). Here, we modeled SEUS residence patterns using photo-identification data from coastal South Carolina, Georgia, and Florida from seven winter seasons (2004/2005 – 2010/2011). We used multistate open robust design models to evaluate effects of reproductive status, demographic group, and environmental conditions on SEUS residence. Model estimates accounted for temporal variation and imperfect detection and provided probabilities of entering the SEUS, staying in the SEUS, and being sighted. We also derived estimates for residence time and seasonal abundance. We observed staggered arrival and departure patterns and demographic differences in residence patterns that are characteristic of a differential migration strategy. Calving females arrived earliest and, in most seasons, had mean residence periods more than twice as long as other demographic groups. Conversely, adult males arrived the latest, and had the shortest residence times. Within-season, biweekly detection was positively influenced by survey effort, and seasonal detection rate estimates ranged from 0.83 ± 0.08 for non-calving adult females to 0.98 ± 0.02 for calving females. Results provide insights into right whale behavior, biology, and temporal distribution in the SEUS and can be used to evaluate spatially- and temporally- dynamic management measures.","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00902","usgsCitation":"Krystan, A., Gowan, T., Kendall, W.L., Martin, J., Ortega-Ortiz, J., Jackson, K., Knowlton, A., Naessig, P., Zani, M., Schulte, D., and Taylor, C., 2019, Characterizing residence patterns of North Atlantic right whales in the southeastern U.S. with a multistate open robust design model: Endangered Species Research, v. 36, p. 279-295, https://doi.org/10.3354/esr00902.","productDescription":"17 p.","startPage":"279","endPage":"295","ipdsId":"IP-089091","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460581,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00902","text":"Publisher Index Page"},{"id":366947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina, Georgia, Florida ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.46435546875,\n              33.925129700072\n            ],\n            [\n              -79.56298828125,\n              34.74161249883172\n            ],\n            [\n              -82.81494140625,\n              31.952162238024975\n            ],\n            [\n              -81.9580078125,\n              29.22889003019423\n            ],\n            [\n              -80.57373046875,\n              25.18505888358067\n            ],\n            [\n          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T.A.","contributorId":218447,"corporation":false,"usgs":false,"family":"Gowan","given":"T.A.","email":"","affiliations":[{"id":20317,"text":"Florida Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":769294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":769291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ortega-Ortiz, J.G.","contributorId":218448,"corporation":false,"usgs":false,"family":"Ortega-Ortiz","given":"J.G.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":769295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, K.B.","contributorId":206454,"corporation":false,"usgs":false,"family":"Jackson","given":"K.B.","email":"","affiliations":[],"preferred":false,"id":769296,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knowlton, A.R.","contributorId":218449,"corporation":false,"usgs":false,"family":"Knowlton","given":"A.R.","email":"","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":769297,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Naessig, P.","contributorId":218450,"corporation":false,"usgs":false,"family":"Naessig","given":"P.","email":"","affiliations":[{"id":26955,"text":"Sea to Shore Alliance","active":true,"usgs":false}],"preferred":false,"id":769298,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zani, M.","contributorId":218451,"corporation":false,"usgs":false,"family":"Zani","given":"M.","email":"","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":769299,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schulte, D.W.","contributorId":218452,"corporation":false,"usgs":false,"family":"Schulte","given":"D.W.","email":"","affiliations":[{"id":26955,"text":"Sea to Shore Alliance","active":true,"usgs":false}],"preferred":false,"id":769300,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, C.R.","contributorId":218453,"corporation":false,"usgs":false,"family":"Taylor","given":"C.R.","email":"","affiliations":[{"id":26955,"text":"Sea to Shore Alliance","active":true,"usgs":false}],"preferred":false,"id":769301,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70202693,"text":"70202693 - 2019 - Automated time-series measurement of microbial concentrations in groundwater-derived water supplies","interactions":[],"lastModifiedDate":"2019-03-19T16:50:47","indexId":"70202693","displayToPublicDate":"2018-08-28T10:27:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Automated time-series measurement of microbial concentrations in groundwater-derived water supplies","docAbstract":"<div class=\"article-section__content en main\"><p><span>Fecal contamination by human and animal pathogens, including viruses, bacteria, and protozoa, is a potential human health hazard, especially with regards to drinking water. Pathogen occurrence in groundwater varies considerably in space and time, which can be difficult to characterize as sampling typically requires hundreds of liters of water to be passed through a filter. Here we describe the design and deployment of an automated sampler suited for hydrogeologically and chemically dynamic groundwater systems. Our design focused on a compact form to facilitate transport and quick deployment to municipal and domestic water supplies. We deployed a sampler to characterize water quality from a household well tapping a shallow fractured dolomite aquifer in northeast Wisconsin. The sampler was deployed from January to April 2017, and monitored temperature, nitrate, chloride, specific conductance, and fluorescent dissolved organic matter on a minute time step; water was directed to sequential microbial filters during three recharge periods that ranged from 5 to 20 days. Results from the automated sampler demonstrate the dynamic nature of the household water quality, especially with regard to microbial targets, which were shown to vary 1 to 2 orders of magnitude during a single sampling event. We believe assessments of pathogen occurrence and concentration, and related assessments of drinking well vulnerability, would be improved by the time‐integrated characterization provided by this sampler.</span></p></div>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12822","usgsCitation":"Owens, D.W., Hunt, R.J., Firnstahl, A.D., Muldoon, M.A., and Borchardt, M.A., 2019, Automated time-series measurement of microbial concentrations in groundwater-derived water supplies: Groundwater, v. 2, no. 57, p. 329-336, https://doi.org/10.1111/gwat.12822.","productDescription":"8 p.","startPage":"329","endPage":"336","ipdsId":"IP-098170","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":460585,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12822","text":"Publisher Index Page"},{"id":437633,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VO1KF9","text":"USGS data release","linkHelpText":"Automated time-series measurement of microbial concentrations in groundwater-derived water supplies"},{"id":362175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"57","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Owens, David W. 0000-0002-3219-9910 dwowens@usgs.gov","orcid":"https://orcid.org/0000-0002-3219-9910","contributorId":198975,"corporation":false,"usgs":true,"family":"Owens","given":"David","email":"dwowens@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":759511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muldoon, Maureen A.","contributorId":198974,"corporation":false,"usgs":false,"family":"Muldoon","given":"Maureen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":210973,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38162,"text":"United States Department of Agriculture Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":759514,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198934,"text":"70198934 - 2019 - Amendments fail to hasten biocrust recovery or soil stability at a disturbed dryland sandy site","interactions":[],"lastModifiedDate":"2019-03-15T12:49:18","indexId":"70198934","displayToPublicDate":"2018-08-27T16:21:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Amendments fail to hasten biocrust recovery or soil stability at a disturbed dryland sandy site","docAbstract":"<p><span>In most drylands, biological soil crusts (biocrusts), an assemblage of lichens, bryophytes, fungi, green algae, and cyanobacteria, are critical to healthy ecosystem function. However, they are extremely sensitive to disturbance and attempts to facilitate their recovery have had variable success. In this study, we applied soil amendments designed to improve soil surface stability and accelerate biocrust recovery on an area disturbed by oil/gas exploration vehicles. Treatments included: 1) Control (one time water only); 2) Biocrust‐only: biocrust inoculum + nutrients in water; 3) Polyacrylamide gels (PAM; which are known to stabilize soils) + biocrust inoculum + nutrients in water; 4) Gypsum + biocrust inoculum + nutrients in water; and 5) Saline (NaCl) solution + biocrust inoculum + nutrients in water. Only the NaCl treatment showed any effects on soil properties and these were only short‐term. These effects included an increase in soil strength and a reduction in soil aggregate stability, unsaturated hydraulic conductivity (K</span><sub><i>h</i></sub><span>), and cyanobacterial biomass. The inoculated biocrust material failed to develop and even after 10 years, there was only a very low natural recolonization of the plots. These results show that inoculating soils or applying these levels of soil amendments does not guarantee recovery of soil stability or biocrust, and that some sites are unlikely to recover without assistance. Thus, there is a need for more research into ways to enhance soil stability and identify the factors limiting biocrust establishment.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12870","usgsCitation":"Chandler, D.G., Day, N.K., Madsen, M.D., and Belnap, J., 2019, Amendments fail to hasten biocrust recovery or soil stability at a disturbed dryland sandy site: Restoration Ecology, v. 27, no. 2, p. 289-297, https://doi.org/10.1111/rec.12870.","productDescription":"9 p.","startPage":"289","endPage":"297","ipdsId":"IP-095620","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12870","text":"Publisher Index Page"},{"id":356814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-03","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842ee6","contributors":{"authors":[{"text":"Chandler, David G.","contributorId":207303,"corporation":false,"usgs":false,"family":"Chandler","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":37516,"text":"Syracuse University, Civil and Environmental Engineering","active":true,"usgs":false}],"preferred":false,"id":743486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madsen, Matthew D.","contributorId":191385,"corporation":false,"usgs":false,"family":"Madsen","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":743487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743485,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201364,"text":"70201364 - 2019 - A Bayesian approach to predict sub-annual beach change and recovery","interactions":[],"lastModifiedDate":"2019-01-28T08:33:37","indexId":"70201364","displayToPublicDate":"2018-08-27T14:14:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian approach to predict sub-annual beach change and recovery","docAbstract":"<p><span>The upper beach, between the astronomical high tide and the dune-toe, supports habitat and recreation along many beaches, making predictions of upper beach change valuable to coastal managers and the public. We developed and tested a Bayesian network (BN) to predict the cross-shore position of an upper beach elevation contour (Z</span><sub>l</sub><span>D) following 1&nbsp;month to 1-year intervals at Fire Island, New York. We combine hydrodynamic data with series of island-wide topographic data and spatially limited cross-shore profiles. First, we predicted beach configuration of Z</span><sub>l</sub><span>D positions at high spatial resolution (50&nbsp;m) over intervals spanning 2005–2014. Compared to untrained model predictions, in which all six outcomes are equally likely (prior likelihood = 0.16), our prediction metrics (skill = 0.52; log likelihood ratio = 0.14; accuracy = 0.56) indicate the BN confidently predicts upper beach dynamics. Next, the BN forecasted three intervals of beach recovery following Hurricane Sandy. Results suggest the pre-Sandy training data is sufficiently robust to require only periodic updates to beach slope observations to maintain confidence for forecasts. Finally, we varied input data, using observations collected at a range of temporal (1–12&nbsp;months) and spatial (50&nbsp;m to &gt; 1&nbsp;km) resolutions to evaluate model skill. This experiment shows that data collection techniques with different spatial and temporal frequencies can be used to inform a single modeling framework and can provide insight to BN training requirements. Overall, results indicate that BNs and inputs can be developed for broad coastal change assessment or tailored to a set of predictive requirements, making this methodology applicable to a variety of coastal prediction scenarios.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0444-1","usgsCitation":"Wilson, K., Lentz, E.E., Miselis, J.L., Safak, I., and Brenner, O.T., 2019, A Bayesian approach to predict sub-annual beach change and recovery: Estuaries and Coasts, v. 42, no. 1, p. 112-131, https://doi.org/10.1007/s12237-018-0444-1.","productDescription":"20 p.","startPage":"112","endPage":"131","ipdsId":"IP-088528","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":360174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-27","publicationStatus":"PW","scienceBaseUri":"5c10a953e4b034bf6a7e514b","contributors":{"authors":[{"text":"Wilson, Kathleen 0000-0002-2810-7585 kwilson@usgs.gov","orcid":"https://orcid.org/0000-0002-2810-7585","contributorId":195620,"corporation":false,"usgs":true,"family":"Wilson","given":"Kathleen","email":"kwilson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenner, Owen T. 0000-0002-1588-721X obrenner@usgs.gov","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":4933,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753817,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204094,"text":"70204094 - 2019 - Understanding how microbiomes influence the systems they inhabit","interactions":[],"lastModifiedDate":"2020-09-01T14:01:58.098487","indexId":"70204094","displayToPublicDate":"2018-08-24T16:03:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5843,"text":"Nature Microbiology","onlineIssn":"2058-5276","active":true,"publicationSubtype":{"id":10}},"title":"Understanding how microbiomes influence the systems they inhabit","docAbstract":"Translating the ever-increasing wealth of information on microbiomes (environment, host, or built environment) to advance the understanding of system-level processes is proving to be an exceptional research challenge. One reason for this challenge is that relationships between characteristics of microbiomes and the system-level processes they influence are often evaluated in the absence of a robust conceptual framework and reported without elucidating the underlying causal mechanisms. The reliance on correlative approaches limits the potential to expand the inference of a single relationship to additional systems and advance the field. We propose that research focused on how microbiomes influence the systems they inhabit should work within a common framework and target known microbial processes that contribute to the system-level processes of interest. Here we identify three distinct categories of microbiome characteristics (microbial processes, microbial community properties, and microbial membership) and propose a framework to empirically link each of these categories to each other and the broader system level processes they affect. We posit that it is particularly important to distinguish microbial community properties that can be predicted from constituent taxa (community aggregated traits) from and those properties that are currently unable to be predicted from constituent taxa (emergent properties). Existing methods in microbial ecology can be applied to more explicitly elucidate properties within each of these categories and connect these three categories of microbial characteristics with each other. We view this proposed framework, gleaned from a breadth of research on environmental microbiomes and ecosystem processes, as a promising pathway with the potential to advance discovery and understanding across a broad range of microbiome science.","language":"English","publisher":"SpringerNature","doi":"10.1038/s41564-018-0201-z","usgsCitation":"Hall, E., Bernhardt, E.S., Bier, R., Bradford, M., Boot, C., Cotner, J., del Giorgio, P., Evans, S., Graham, E., Jones, S., Lennon, J., Locey, K.J., Nemergut, D., Osborne, B., Rocca, J., Schimel, J., Waldrop, M., and Wallenstein, M., 2019, Understanding how microbiomes influence the systems they inhabit: Nature Microbiology, v. 3, no. 9, p. 977-982, https://doi.org/10.1038/s41564-018-0201-z.","productDescription":"6 p.","startPage":"977","endPage":"982","ipdsId":"IP-068241","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":365295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, E.K.","contributorId":216759,"corporation":false,"usgs":false,"family":"Hall","given":"E.K.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, E. S.","contributorId":95682,"corporation":false,"usgs":false,"family":"Bernhardt","given":"E.","email":"","middleInitial":"S.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":765452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bier, R.L.","contributorId":173735,"corporation":false,"usgs":false,"family":"Bier","given":"R.L.","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":765453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, M.A.","contributorId":216760,"corporation":false,"usgs":false,"family":"Bradford","given":"M.A.","email":"","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":765454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boot, C.M.","contributorId":173737,"corporation":false,"usgs":false,"family":"Boot","given":"C.M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cotner, J.B.","contributorId":216761,"corporation":false,"usgs":false,"family":"Cotner","given":"J.B.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":765456,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"del Giorgio, P.A.","contributorId":216762,"corporation":false,"usgs":false,"family":"del Giorgio","given":"P.A.","affiliations":[{"id":24488,"text":"Universite du Quebec a Montreal","active":true,"usgs":false}],"preferred":false,"id":765457,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, S.E.","contributorId":178746,"corporation":false,"usgs":false,"family":"Evans","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":765458,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graham, E.B.;","contributorId":173738,"corporation":false,"usgs":false,"family":"Graham","given":"E.B.;","email":"","affiliations":[{"id":25479,"text":"CU Boulder","active":true,"usgs":false}],"preferred":false,"id":765459,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, S.E.","contributorId":216763,"corporation":false,"usgs":false,"family":"Jones","given":"S.E.","email":"","affiliations":[{"id":39511,"text":"Notre Dame University","active":true,"usgs":false}],"preferred":false,"id":765460,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lennon, J.T.","contributorId":156353,"corporation":false,"usgs":false,"family":"Lennon","given":"J.T.","email":"","affiliations":[{"id":20322,"text":"Department of Biology Indiana University, Bloomington, IN","active":true,"usgs":false}],"preferred":false,"id":765461,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Locey, Kenneth J.","contributorId":216781,"corporation":false,"usgs":false,"family":"Locey","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":765490,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nemergut, D.","contributorId":216764,"corporation":false,"usgs":false,"family":"Nemergut","given":"D.","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":765462,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Osborne, B.","contributorId":216765,"corporation":false,"usgs":false,"family":"Osborne","given":"B.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":765463,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rocca, J.D.","contributorId":216766,"corporation":false,"usgs":false,"family":"Rocca","given":"J.D.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765464,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schimel, J.S.","contributorId":216767,"corporation":false,"usgs":false,"family":"Schimel","given":"J.S.","email":"","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":765465,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216758,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[],"preferred":true,"id":765450,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wallenstein, M.W.","contributorId":216768,"corporation":false,"usgs":false,"family":"Wallenstein","given":"M.W.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765466,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70213230,"text":"70213230 - 2019 - How many measurements are required to construct an accurate sand budget in a large river? Insights from analyses of signal and noise","interactions":[],"lastModifiedDate":"2020-09-16T01:05:56.245876","indexId":"70213230","displayToPublicDate":"2018-08-21T08:12:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"How many measurements are required to construct an accurate sand budget in a large river? Insights from analyses of signal and noise","docAbstract":"<div class=\"t m2 x0 h6 ye ff2 fs1 fc0 sc0 ls3 ws0\">Morphological change in river channels is frequently evaluated in the context of mass balance sediment budgets. In a closed sediment budget, measurements of sediment influx and efflux are coupled with measured changes in channel topography to provide both spatial and temporal resolution, and independent estimates of the mass balance. For sediment budgets constructed over long river segments (~10&nbsp;channel widths or greater) and long periods (~2 years or longer), spatial and temporal accumulation of measurement uncertainty, compounded by inadequate sampling frequency or spatial coverage, may produce indeterminate results.</div><div class=\"t m2 x0 h6 y15 ff2 fs1 fc0 sc0 ls3 ws0\">The degree of indeterminacy may be evaluated in the context of a signal-to-noise ratio (SNR), which is a function of the magnitude of the mass balance and the magnitudes of potential systematic uncertainties associated with measurements and incomplete sampling. We report on a closed sand budget consisting of measurements of flux and two morphological surveys for a 50-km segment of a large river over a 3-year period. Accurate reporting of the magnitude and sign of the change in sand storage was only possible by using state-of-the-art techniques with high temporal frequency and large spatial extent. Together, a sand flux and morphological mass balance revealed that sand evacuation was temporally concentrated (~100% of mass change occurred during 19% of the study period) and highly localized (70% of mass change occurred in 12% of the study segment). A SNR analysis revealed that uncertainty resulting from undersampling may approach or exceed that caused by measurement uncertainty and that daily sampling of suspended-sand concentration or repeat mapping of at least 50% of the river segment was required to determine the sand budget with SNR <span class=\"ff3\">&gt; </span>1. The approach used here to analyze sand budget uncertainty is especially applicable to other river systems with large temporal variability in sediment transport and large spatial variability in erosion and deposition.</div>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4489","usgsCitation":"Grams, P.E., Buscombe, D., Topping, D.J., Kaplinski, M., and Hazel, J., 2019, How many measurements are required to construct an accurate sand budget in a large river? Insights from analyses of signal and noise: Earth Surface Processes and Landforms, v. 44, no. 1, p. 160-178, https://doi.org/10.1002/esp.4489.","productDescription":"19 p.","startPage":"160","endPage":"178","ipdsId":"IP-079806","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468106,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.4489","text":"Publisher Index Page"},{"id":437634,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CIMU68","text":"USGS data release","linkHelpText":"Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona, May 2012, river miles 29 to 62 - Data"},{"id":378392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon, Lower Marble Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.65679931640625,\n              36.801587788085314\n            ],\n            [\n              -111.81060791015624,\n              36.62103883480288\n            ],\n            [\n              -111.89163208007812,\n              36.52177691707085\n            ],\n            [\n              -111.90536499023438,\n              36.37596215247431\n            ],\n            [\n              -111.84356689453125,\n              36.21103919432822\n            ],\n            [\n              -111.807861328125,\n              36.18887535558557\n            ],\n            [\n              -111.77215576171874,\n              36.1955251660701\n            ],\n            [\n              -111.83120727539062,\n              36.39365126402043\n            ],\n            [\n              -111.7694091796875,\n              36.575835338491764\n            ],\n            [\n              -111.654052734375,\n              36.72017310567465\n            ],\n            [\n              -111.61422729492188,\n              36.79169061907076\n            ],\n            [\n              -111.65679931640625,\n              36.801587788085314\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":240661,"corporation":false,"usgs":true,"family":"Buscombe","given":"Daniel D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaplinski, Matthew","contributorId":198818,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","affiliations":[],"preferred":false,"id":798655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazel, Joseph 0000-0003-0903-3397","orcid":"https://orcid.org/0000-0003-0903-3397","contributorId":189310,"corporation":false,"usgs":false,"family":"Hazel","given":"Joseph","affiliations":[],"preferred":false,"id":798656,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203265,"text":"70203265 - 2019 - A comparison of methods for streamflow uncertainty estimation","interactions":[],"lastModifiedDate":"2019-05-02T08:45:15","indexId":"70203265","displayToPublicDate":"2018-08-21T07:20:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of methods for streamflow uncertainty estimation","docAbstract":"<div class=\"article-section__content en main\"><p>Streamflow time series are commonly derived from stage‐discharge rating curves, but the uncertainty of the rating curve and resulting streamflow series are poorly understood. While different methods to quantify uncertainty in the stage‐discharge relationship exist, there is limited understanding of how uncertainty estimates differ between methods due to different assumptions and methodological choices. We compared uncertainty estimates and stage‐discharge rating curves from seven methods at three river locations of varying hydraulic complexity. Comparison of the estimated uncertainties revealed a wide range of estimates, particularly for high and low flows. At the simplest site on the Isère River (France), full width 95% uncertainties for the different methods ranged from 3 to 17% for median flows. In contrast, uncertainties were much higher and ranged from 41 to 200% for high flows in an extrapolated section of the rating curve at the Mahurangi River (New Zealand) and 28 to 101% for low flows at the Taf River (United Kingdom), where the hydraulic control is unstable at low flows. Differences between methods result from differences in the sources of uncertainty considered, differences in the handling of the time‐varying nature of rating curves, differences in the extent of hydraulic knowledge assumed, and differences in assumptions when extrapolating rating curves above or below the observed gaugings. Ultimately, the selection of an uncertainty method requires a match between user requirements and the assumptions made by the uncertainty method. Given the significant differences in uncertainty estimates between methods, we suggest that a clear statement of uncertainty assumptions be presented alongside streamflow uncertainty estimates.</p></div>","language":"English","publisher":"AGU","doi":"10.1029/2018WR022708","usgsCitation":"Kiang, J.E., Gazoorian, C.L., McMillan, H., Coxon, G., Le Coz, J., Westerberg, I., Belleville, A., Sevrez, D., Sikorska, A., Petersen-Overleir, A., Reitan, T., Freer, J., Renard, B., Mansanarez, V., and Mason,, R., 2019, A comparison of methods for streamflow uncertainty estimation: Water Resources Research, v. 54, no. 10, p. 7149-7176, https://doi.org/10.1029/2018WR022708.","productDescription":"28 p.","startPage":"7149","endPage":"7176","ipdsId":"IP-093972","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr022708","text":"Publisher Index Page"},{"id":363473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":761951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMillan, Hillary 0000-0002-9330-9730","orcid":"https://orcid.org/0000-0002-9330-9730","contributorId":215266,"corporation":false,"usgs":false,"family":"McMillan","given":"Hillary","email":"","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":761953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coxon, Gemma","contributorId":190753,"corporation":false,"usgs":false,"family":"Coxon","given":"Gemma","email":"","affiliations":[],"preferred":false,"id":761954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Coz, Jerome","contributorId":190746,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","email":"","affiliations":[],"preferred":false,"id":761955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Westerberg, Ida","contributorId":190748,"corporation":false,"usgs":false,"family":"Westerberg","given":"Ida","email":"","affiliations":[],"preferred":false,"id":761956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belleville, Arnaud 0000-0002-0138-2392","orcid":"https://orcid.org/0000-0002-0138-2392","contributorId":215267,"corporation":false,"usgs":false,"family":"Belleville","given":"Arnaud","email":"","affiliations":[{"id":39219,"text":"EDF-DTG","active":true,"usgs":false}],"preferred":false,"id":761957,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sevrez, Damien 0000-0001-7526-7867","orcid":"https://orcid.org/0000-0001-7526-7867","contributorId":215268,"corporation":false,"usgs":false,"family":"Sevrez","given":"Damien","email":"","affiliations":[{"id":39219,"text":"EDF-DTG","active":true,"usgs":false}],"preferred":false,"id":761958,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sikorska, Anna 0000-0002-5273-1038","orcid":"https://orcid.org/0000-0002-5273-1038","contributorId":215269,"corporation":false,"usgs":false,"family":"Sikorska","given":"Anna","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":761959,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Petersen-Overleir, Asgeir","contributorId":213625,"corporation":false,"usgs":false,"family":"Petersen-Overleir","given":"Asgeir","email":"","affiliations":[{"id":38825,"text":"Market Operations Hydrology, Statkraft Energi AS, Norway","active":true,"usgs":false}],"preferred":false,"id":761960,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reitan, Trond","contributorId":190750,"corporation":false,"usgs":false,"family":"Reitan","given":"Trond","email":"","affiliations":[],"preferred":false,"id":761961,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Freer, Jim","contributorId":190754,"corporation":false,"usgs":false,"family":"Freer","given":"Jim","email":"","affiliations":[],"preferred":false,"id":761962,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":761963,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mansanarez, Valentin","contributorId":190747,"corporation":false,"usgs":false,"family":"Mansanarez","given":"Valentin","email":"","affiliations":[],"preferred":false,"id":761964,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":176493,"corporation":false,"usgs":true,"family":"Mason,","given":"Robert R.","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":false,"id":761965,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70202927,"text":"70202927 - 2019 - Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability","interactions":[],"lastModifiedDate":"2019-04-05T12:51:10","indexId":"70202927","displayToPublicDate":"2018-08-20T12:17:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability","docAbstract":"<p><span>Accelerating sea-level rise and human impacts to the coast (e.g., altered sediment supply and hydrology, nutrient loading) influence the accumulation of sediment and organic matter, and thereby impact the ability of coastal tidal wetlands to maintain an elevation consistently within the vegetation growth range. Critical components of marsh sustainability are the marsh elevation within the vegetation growth range (elevation capital) and the rates of marsh surface elevation change and relative sea-level rise. The relationship among these factors and their combined influence on marsh integrity were evaluated by comparing trends in surface elevation change on five salt marsh sites located on three marsh islands in Jamaica Bay, NY, USA. All marsh sites were located in a similar physical setting (i.e., tidal range, sea-level rise rate, sediment supply). The structural integrity of the marshes ranged from densely vegetated (high integrity) to severely deteriorated (low integrity) with elevation capital ranging from high to low, respectively, and included a deteriorating marsh site that was partially restored. Two marshes with high elevation capital maintained their relative position high within the tidal range through a combination of surface sediment deposition and shallow subsurface expansion, and kept pace with local sea-level rise. A marsh with moderate elevation capital showed signs of flooding stress and was deteriorating, but managed to keep pace with local sea-level rise. The deteriorated marsh gained no elevation over the 14-year study and was located too low within the tidal range to support continuous coverage of salt marsh vegetation. Elevation gain in the restored marsh initially lagged behind sea-level rise for 8&nbsp;years, but the elevation trend recovered and kept pace with sea-level rise for the last 5&nbsp;years. A conceptual model is presented that describes the relationship among elevation capital, and rates of marsh elevation gain and sea-level rise. Note that a search for factors influencing wetland loss should focus on process changes to marsh vertical development (e.g., sediment supply, vegetation growth) and climate change effects (e.g., sea-level and temperature rise) that can cause elevation gain to lag behind sea-level rise, and these occur prior to the onset of marsh deterioration.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0448-x","usgsCitation":"Cahoon, D.R., Lynch, J.C., Roman, C.T., Schmit, J.P., and Skidds, D.E., 2019, Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability: Estuaries and Coasts, v. 42, no. 1, p. 1-15, https://doi.org/10.1007/s12237-018-0448-x.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-096276","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/nrs_facpubs/709","text":"External Repository"},{"id":362801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"New York","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.84151458740234,\n              40.582149150701824\n            ],\n            [\n              -73.81061553955078,\n              40.59283882963389\n            ],\n            [\n              -73.80769729614256,\n              40.59518511581991\n            ],\n            [\n              -73.80392074584961,\n              40.59870439072082\n            ],\n            [\n              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Service","active":true,"usgs":false}],"preferred":false,"id":760502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmit, John Paul","contributorId":214655,"corporation":false,"usgs":false,"family":"Schmit","given":"John","email":"","middleInitial":"Paul","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":760503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skidds, Dennis E.","contributorId":202237,"corporation":false,"usgs":false,"family":"Skidds","given":"Dennis","email":"","middleInitial":"E.","affiliations":[{"id":36381,"text":"National Park Service Northeast Coastal and Barrier Network","active":true,"usgs":false}],"preferred":false,"id":760504,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206990,"text":"70206990 - 2019 - Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India","interactions":[],"lastModifiedDate":"2019-12-03T08:31:39","indexId":"70206990","displayToPublicDate":"2018-08-18T08:24:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India","docAbstract":"Physical properties of the sediment directly overlying a gas hydrate reservoir provide important controls on the effectiveness of depressurizing that reservoir to extract methane from gas hydrate as an energy resource.  The permeability of overlying sediment determines if a gas hydrate reservoir’s upper contact will provide an effective seal that enables efficient reservoir depressurization.  Compressibility, stiffness and strength indicate how overlying sediment will deform as the in situ stress changes during production, providing engineering data for well designs.  Assessing these properties requires minimally-disturbed sediment.  India’s National Gas Hydrates Program Expedition 2 (NGHP-02) provided an opportunity to study these seal sediment properties, reducing disturbance from gas exsolution and bubble growth by collecting a pressure core from the seal sediment just above the primary gas hydrate reservoir at Site NGHP-02-08 in Area C of the Krishna-Godavari Basin.  The effective stress chamber (ESC) and the direct shear chamber (DSC) devices in the suite of Pressure Core Characterization Tools (PCCTs) were used to measure permeability, compressibility, stiffness and shear strength at the in situ vertical stress.  Geotechnical properties of the predominantly fine-grained seal layer at in situ vertical stress are in typical clay sediment ranges, with low measured permeability (0.02 mD), high compressibility (Cc = 0.26 – 0.33) and low shear strength (404 kPa).  Though pressure and temperature were maintained throughout the collection and measurement process to stabilize gas hydrate, the lack of effective stress in the pressure core storage chamber and the chamber pressurization with methane-free water caused core expansion and gas hydrate in a thin coarser-grained layer to dissolve.  The PCCTs can reapply in situ stress with incremental loading steps during a consolidation test to account for sediment compaction.  Gas hydrate dissolution can be limited by storing cores just above freezing temperatures, and by using solid spacers to reduce the storage chamber’s free volume.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2018.08.015","usgsCitation":"Jang, J., Dai, S., Yoneda, J., Waite, W., Stern, L.A., Boze, L., Collett, T.S., and Kumar, P., 2019, Pressure core analysis of geomechanical and fluid flow properties of seals associated with gas hydrate-bearing reservoirs in the Krishna-Godavari Basin, offshore India: Marine and Petroleum Geology, v. 108, p. 537-550, https://doi.org/10.1016/j.marpetgeo.2018.08.015.","productDescription":"14 p.","startPage":"537","endPage":"550","ipdsId":"IP-097103","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468108,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1469805","text":"External Repository"},{"id":369853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[77.83745,35.49401],[78.91227,34.32194],[78.81109,33.5062],[79.20889,32.99439],[79.17613,32.48378],[78.45845,32.61816],[78.73889,31.51591],[79.72137,30.88271],[81.11126,30.18348],[80.47672,29.72987],[80.08842,28.79447],[81.0572,28.4161],[81.99999,27.92548],[83.30425,27.36451],[84.67502,27.2349],[85.25178,26.7262],[86.02439,26.63098],[87.22747,26.3979],[88.06024,26.41462],[88.1748,26.81041],[88.04313,27.44582],[88.12044,27.87654],[88.73033,28.08686],[88.81425,27.29932],[88.83564,27.09897],[89.74453,26.7194],[90.37327,26.87572],[91.21751,26.80865],[92.03348,26.83831],[92.10371,27.45261],[91.69666,27.77174],[92.50312,27.89688],[93.41335,28.64063],[94.56599,29.27744],[95.4048,29.03172],[96.11768,29.4528],[96.58659,28.83098],[96.24883,28.41103],[97.32711,28.26158],[97.40256,27.88254],[97.05199,27.69906],[97.134,27.08377],[96.41937,27.26459],[95.12477,26.57357],[95.15515,26.00131],[94.60325,25.1625],[94.55266,24.67524],[94.10674,23.85074],[93.32519,24.07856],[93.28633,23.04366],[93.06029,22.70311],[93.16613,22.27846],[92.67272,22.04124],[92.14603,23.6275],[91.86993,23.62435],[91.70648,22.98526],[91.15896,23.50353],[91.46773,24.07264],[91.91509,24.13041],[92.3762,24.97669],[91.7996,25.14743],[90.87221,25.1326],[89.92069,25.26975],[89.83248,25.96508],[89.35509,26.01441],[88.56305,26.44653],[88.20979,25.76807],[88.93155,25.23869],[88.30637,24.86608],[88.08442,24.50166],[88.69994,24.23371],[88.52977,23.63114],[88.87631,22.87915],[89.03196,22.05571],[88.88877,21.69059],[88.2085,21.70317],[86.9757,21.49556],[87.03317,20.74331],[86.49935,20.15164],[85.06027,19.47858],[83.94101,18.30201],[83.18922,17.67122],[82.19279,17.01664],[82.19124,16.55666],[81.69272,16.31022],[80.792,15.95197],[80.3249,15.89918],[80.02507,15.13641],[80.23327,13.83577],[80.28629,13.00626],[79.86255,12.05622],[79.858,10.35728],[79.34051,10.30885],[78.88535,9.54614],[79.18972,9.21654],[78.27794,8.93305],[77.94117,8.25296],[77.5399,7.96553],[76.59298,8.89928],[76.13006,10.29963],[75.74647,11.30825],[75.3961,11.78125],[74.86482,12.74194],[74.61672,13.99258],[74.44386,14.61722],[73.5342,15.99065],[73.11991,17.92857],[72.82091,19.20823],[72.82448,20.4195],[72.63053,21.35601],[71.17527,20.75744],[70.47046,20.87733],[69.16413,22.0893],[69.64493,22.45077],[69.3496,22.84318],[68.17665,23.69197],[68.8426,24.35913],[71.04324,24.35652],[70.8447,25.2151],[70.28287,25.72223],[70.16893,26.49187],[69.51439,26.94097],[70.6165,27.9892],[71.77767,27.91318],[72.82375,28.96159],[73.45064,29.97641],[74.42138,30.97981],[74.40593,31.69264],[75.25864,32.27111],[74.45156,32.7649],[74.10429,33.44147],[73.74995,34.3177],[74.2402,34.74889],[75.75706,34.50492],[76.87172,34.65354],[77.83745,35.49401]]]},\"properties\":{\"name\":\"India\"}}]}","volume":"108","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jang, Junbong 0000-0001-5500-7558 jjang@usgs.gov","orcid":"https://orcid.org/0000-0001-5500-7558","contributorId":189400,"corporation":false,"usgs":true,"family":"Jang","given":"Junbong","email":"jjang@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dai, Sheng","contributorId":213194,"corporation":false,"usgs":false,"family":"Dai","given":"Sheng","email":"","affiliations":[{"id":38715,"text":"Georgia Institute of Technology, Atlanta, GA","active":true,"usgs":false}],"preferred":false,"id":776533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoneda, J.","contributorId":195813,"corporation":false,"usgs":false,"family":"Yoneda","given":"J.","email":"","affiliations":[],"preferred":false,"id":776534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":776535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stern, Laura A. 0000-0003-3440-5674 lstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":1197,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"lstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":776536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boze, Lee-Gray 0000-0003-1853-7888 lboze@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-7888","contributorId":220996,"corporation":false,"usgs":true,"family":"Boze","given":"Lee-Gray","email":"lboze@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776538,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kumar, Pushpendra","contributorId":212239,"corporation":false,"usgs":false,"family":"Kumar","given":"Pushpendra","affiliations":[{"id":38465,"text":"Oil and Natural Gas Corp. Panvel, Navi Mumbai, India","active":true,"usgs":false}],"preferred":false,"id":776539,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70227979,"text":"70227979 - 2019 - DNA mixtures for ecology","interactions":[],"lastModifiedDate":"2022-02-04T15:00:07.200552","indexId":"70227979","displayToPublicDate":"2018-08-16T16:25:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"DNA mixtures for ecology","docAbstract":"<ol class=\"\"><li>Mixtures of DNA from multiple contributors present a novel opportunity to count individuals to inform fish and wildlife ecology.</li><li>We apply a likelihood-based framework to estimate the number of contributors to a DNA mixture for ecological applications. We then assess the performance of DNA mixture estimation through a combination of simulation analyses, laboratory testing, and a field trial to estimate fish predation rates from stomach content analysis.</li><li>Simulations indicated reasonably sized genetic marker panels could estimate the number of contributors to mixtures comprised of up to 10 individuals, with potential to resolve larger mixtures with additional markers. Mixture estimates demonstrated robustness to common genotyping errors associated with fish and wildlife genetics applications. Laboratory trials demonstrated that DNA combined from multiple yellow perch (<i>Perca flavescens</i>) could be successfully genotyped with a 14-loci microsatellite panel and led to successful estimation for up to 5-contributor mixtures. Stomach content analysis with DNA mixtures indicated a 5-fold increase in estimated predation rates of yellow perch by largemouth bass (<i>Micropterus salmoides</i>) relative to conventional visual assessment of diet contents which can miss partially digested prey items.</li><li>DNA mixtures have potential to expand applications of count-based ecological analyses. Technical challenges in generating genotypes from DNA mixtures may initially limit their use, however, advances in next generation genotyping platforms are anticipated to surmount these obstacles. Chiefly, we envision opportunity for DNA mixtures to advance eDNA analysis beyond presence/absence based inference to enumeration of specimens.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13079","usgsCitation":"Sethi, S., Larson, W., Turnquist, K., and Isermann, D.A., 2019, DNA mixtures for ecology: Methods in Ecology and Evolution, p. 109-119, https://doi.org/10.1111/2041-210X.13079.","productDescription":"11 p.","startPage":"109","endPage":"119","ipdsId":"IP-096231","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468109,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13079","text":"Publisher Index Page"},{"id":395423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turnquist, Keith","contributorId":244569,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":833102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203655,"text":"70203655 - 2019 - Modeling golden eagle‐vehicle collisions to design mitigation strategies","interactions":[],"lastModifiedDate":"2019-05-30T15:13:10","indexId":"70203655","displayToPublicDate":"2018-08-16T15:10:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling golden eagle‐vehicle collisions to design mitigation strategies","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><div id=\"jwmg21527-sec-0001\" class=\"article-section__content\"><p>The incidental take of golden eagles (<i>Aquila chrysaetos</i>) as a result of wind energy development requires some form of compensatory mitigation. Although several options have been proposed, only one has been formerly accepted and implemented, and the lack of options can limit the permit process for wind facilities. We developed a model to estimate numbers of golden eagles that die when struck by vehicles when eagles scavenge road kill to evaluate removal of road‐killed carcasses as an additional mitigation option. Our model estimates vehicle collision rates as a function of eagle densities, road traffic volume, and animal carcass abundance at the scale of a Wyoming, USA, county during fall‐winter, and quantifies the effects of different mitigation strategies, including estimates of uncertainty. We evaluated the plausibility of our model estimates by predicting mortality rates for each county in Wyoming and comparing overall state mortality to current estimates of mortality using derived estimates from expert judgment. We also developed a context‐dependent analysis of potential mitigation credits controlling for carcass number, traffic volume, and background carcass removals. We found that mitigation credit should be highest in areas with greatest number of carcasses. Collision mitigation is a potentially useful addition to the mitigation toolbox for wind energy development or other activities that need to offset predicted golden eagle mortality and satisfy incidental take permit requirements.&nbsp;</p></div></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21527","usgsCitation":"Lonsdorf, E.V., Sanders-Reed, C.A., Boal, C.W., and Allison, T., 2019, Modeling golden eagle‐vehicle collisions to design mitigation strategies: Journal of Wildlife Management, v. 82, no. 8, https://doi.org/10.1002/jwmg.21527.","productDescription":"12 p.","startPage":"1644","ipdsId":"IP-070767","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21527","text":"Publisher Index 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cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":763455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allison, Taber","contributorId":146617,"corporation":false,"usgs":false,"family":"Allison","given":"Taber","affiliations":[],"preferred":false,"id":763456,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203045,"text":"70203045 - 2019 - Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health","interactions":[],"lastModifiedDate":"2019-04-15T11:06:56","indexId":"70203045","displayToPublicDate":"2018-08-15T11:06:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health","docAbstract":"Widespread hydrologic alteration creates a need for tools to assess ecological impacts to streams that can be applied across large geographic scales. A regional framework for biologically based flow management can help catchment managers prioritise streams for protection, evaluate impacts of disturbance or interventions and provide a starting point for causal assessment in degraded streams. However, lack of flow data limit the ability to assess hydrologic conditions across a region.\nHydrologic models can address this problem. Regionally calibrated hydrologic models were used to estimate current and reference flows at 572 bioassessment sites in southern and central coastal California. Flow alteration was characterised as the difference in 39 flow metrics calculated from simulations of present‐day and reference flow time‐series, calculated under up to four precipitation conditions.\nBiological condition was assessed with the California Stream Condition Index (CSCI) and its components. Logistic regressions were used to predict the likelihood of high scores (i.e. ≥10th percentile of the CSCI reference calibration data). Statistically significant relationships between increasing severity of hydrologic alteration and decreasing biological condition were used to set thresholds that reflected tolerance for risk of a stakeholder advisory group.\nAn index of hydrologic alteration was created by selecting flow metrics based on their importance for predicting biological response variables in boosted regression tree models. Metrics were selected in the order of decreasing importance, and no more than two metrics per metric class were selected (i.e. duration, frequency, magnitude, timing and variability). Seven metrics were selected: HighDur (duration of high‐flow events), HighNum (# of high‐flow events), NoDisturb (duration between high‐ or low‐flow events), MaxMonthQ (maximum monthly discharge), Q99 (99th percentile of daily streamflow), QmaxIDR (interdecile range of annual maxima) and RBI (Richards–Baker Index).\nApplying the index to data from a probabilistic survey, 34% of stream‐miles in southern California were estimated to be hydrologically altered. One of four management priorities were assigned to each site based on biological condition and hydrologic status: protection (healthy and unaltered, 52% of stream‐miles), monitoring (healthy but altered 4%), evaluation of flow management (unhealthy and altered, 30%) and evaluation of other management (unhealthy but unaltered, 14%).\nRegionally derived biologically based targets for flow alteration allow catchment managers to prioritise activities and conduct screenings for causal assessments across large spatial scales. Furthermore, regional tools pave the way for incorporation of hydrologic management in policies and catchment planning designed to support biological integrity in streams. Development of regional tools should be a priority where hydrologic alteration is pervasive or expected to increase in response to climate change or urbanisation.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13062","usgsCitation":"Mazor, R.D., May, J.T., Sengupta, A., McCune, K.S., Bledsoe, B.P., and Stein, E.D., 2019, Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health: Freshwater Biology, v. 63, no. 8, p. 786-803, https://doi.org/10.1111/fwb.13062.","productDescription":"18 p.","startPage":"786","endPage":"803","ipdsId":"IP-083790","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":362952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","edition":"Special","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazor, Raphael D.","contributorId":173011,"corporation":false,"usgs":false,"family":"Mazor","given":"Raphael","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":760925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sengupta, Ashmita","contributorId":214836,"corporation":false,"usgs":false,"family":"Sengupta","given":"Ashmita","email":"","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCune, Kenneth S.","contributorId":214837,"corporation":false,"usgs":false,"family":"McCune","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bledsoe, Brian P.","contributorId":140605,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":13538,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":760928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stein, Eric D.","contributorId":198848,"corporation":false,"usgs":false,"family":"Stein","given":"Eric","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198661,"text":"70198661 - 2019 - Moving from generalisations to specificity about mangrove-saltmarsh dynamics","interactions":[],"lastModifiedDate":"2020-06-12T21:19:04.565098","indexId":"70198661","displayToPublicDate":"2018-08-14T13:58:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Moving from generalisations to specificity about mangrove-saltmarsh dynamics","docAbstract":"<p><span>Spatial and temporal variability in factors influencing mangrove establishment and survival affects the distribution of mangrove, particularly near their latitudinal limit, where mangrove expansion into saltmarsh is conspicuous. In this paper the spatial variability in mangrove distribution and variability in factors influencing mangrove establishment and survival during the Quaternary period are reviewed, focussing on research at latitudinal limits in Australia and mainland USA. Despite similarities in the response of mangrove to some drivers, the expression of these drivers is both spatially and temporally variable, demonstrating the need for analyses of mangrove-saltmarsh dynamics to move beyond generalisations and incorporate regional and local-scale specificity. We propose i) that precursory recognition that ‘correlation does not mean causation’ is inadequate and assumptions, caveats, and limitations should be clearly articulated in correlative studies; ii) experimental design in manipulative experiments must also articulate the spatial and temporal scale to which the analysis is relevant; and iii) analyses that draw from a range of methods will provide greater confidence. Integrated research programs that transect spatial and temporal scales and incorporate a range of techniques are essential to improve projections. Mangrove-saltmarsh distribution research should move beyond simple models that assume equilibrium between realised and fundamental niches.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1067-9","usgsCitation":"Rogers, K., and Krauss, K.W., 2019, Moving from generalisations to specificity about mangrove-saltmarsh dynamics: Wetlands, v. 39, p. 1155-1178, https://doi.org/10.1007/s13157-018-1067-9.","productDescription":"24 p.","startPage":"1155","endPage":"1178","ipdsId":"IP-087732","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":490052,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Moving_from_Generalisations_to_Specificity_about_Mangrove_-Saltmarsh_Dynamics/27781029","text":"External Repository"},{"id":356443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-06","publicationStatus":"PW","scienceBaseUri":"5b98a288e4b0702d0e842f41","contributors":{"authors":[{"text":"Rogers, Kerrylee","contributorId":64151,"corporation":false,"usgs":false,"family":"Rogers","given":"Kerrylee","email":"","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":742384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":742383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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