{"pageNumber":"76","pageRowStart":"1875","pageSize":"25","recordCount":10450,"records":[{"id":70215203,"text":"70215203 - 2019 - Genetic structure of Mycoplasma ovipneumoniae informs pathogen spillover dynamics between domestic and wild Caprinae in the western United States","interactions":[],"lastModifiedDate":"2020-10-13T22:45:14.307253","indexId":"70215203","displayToPublicDate":"2019-10-25T09:22:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic structure of <i>Mycoplasma ovipneumoniae</i> informs pathogen spillover dynamics between domestic and wild Caprinae in the western United States","title":"Genetic structure of Mycoplasma ovipneumoniae informs pathogen spillover dynamics between domestic and wild Caprinae in the western United States","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Spillover diseases have significant consequences for human and animal health, as well as wildlife conservation. We examined spillover and transmission of the pneumonia-associated bacterium<span>&nbsp;</span><i>Mycoplasma ovipneumoniae</i><span>&nbsp;</span>in domestic sheep, domestic goats, bighorn sheep, and mountain goats across the western United States using 594 isolates, collected from 1984 to 2017. Our results indicate high genetic diversity of<span>&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;</span>strains within domestic sheep, whereas only one or a few strains tend to circulate in most populations of bighorn sheep or mountain goats. These data suggest domestic sheep are&nbsp;a reservoir, while the few spillovers to bighorn sheep and mountain goats can persist for extended periods. Domestic goat strains form a distinct clade from those in domestic sheep, and strains from both clades are found in bighorn sheep. The genetic structure of domestic sheep strains could not be explained by geography, whereas some strains are spatially clustered and shared among proximate bighorn sheep populations, supporting pathogen establishment and spread following spillover. These data suggest that the ability to predict<span>&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;</span>spillover into wildlife populations may remain a challenge given the high strain diversity in domestic sheep and need for more comprehensive pathogen surveillance.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-51444-x","usgsCitation":"Kamath, P., Manlove, K., Cassirer, E.F., Cross, P., and Besser, T.E., 2019, Genetic structure of Mycoplasma ovipneumoniae informs pathogen spillover dynamics between domestic and wild Caprinae in the western United States: Scientific Reports, v. 9, 15318, 14 p., https://doi.org/10.1038/s41598-019-51444-x.","productDescription":"15318, 14 p.","ipdsId":"IP-100110","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":459352,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-51444-x","text":"Publisher Index Page"},{"id":379304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Kansas, Montana, New Mexico, Nevada, Oregon, Texas, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.60644531250001,\n              31.015278981711266\n            ],\n            [\n              -100.4150390625,\n              31.015278981711266\n            ],\n            [\n              -100.4150390625,\n              49.92293545449574\n            ],\n            [\n              -126.60644531250001,\n              49.92293545449574\n            ],\n            [\n              -126.60644531250001,\n              31.015278981711266\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2019-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Kamath, Pauline","contributorId":198306,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline","affiliations":[],"preferred":false,"id":801175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manlove, K.R. 0000-0002-7200-5236","orcid":"https://orcid.org/0000-0002-7200-5236","contributorId":218981,"corporation":false,"usgs":false,"family":"Manlove","given":"K.R.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":801176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cassirer, E. Frances","contributorId":198303,"corporation":false,"usgs":false,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":801177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":801178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Besser, T. E. 0000-0003-0449-1989","orcid":"https://orcid.org/0000-0003-0449-1989","contributorId":215110,"corporation":false,"usgs":false,"family":"Besser","given":"T.","email":"","middleInitial":"E.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":801179,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206201,"text":"70206201 - 2019 - 1200 years of Upper Missouri River streamflow reconstructed from tree rings","interactions":[],"lastModifiedDate":"2019-10-25T07:02:16","indexId":"70206201","displayToPublicDate":"2019-10-25T07:00:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"1200 years of Upper Missouri River streamflow reconstructed from tree rings","docAbstract":"Paleohydrologic records can provide unique, long-term perspectives on streamflow variability and hydroclimate for use in water resource planning.  Such long-term records can also play a key role in placing both present day events and projected future conditions into a broader context than that offered by instrumental observations.  However, relative to other major river basins across the western United States, a paucity of streamflow reconstructions has to date prevented the full application of such paleohydrologic information in the Upper Missouri River Basin.  Here we utilize a set of naturalized streamflow records for the Upper Missouri and an expanded network of tree-ring records to reconstruct streamflow at thirty-one gaging locations across the major headwaters of the basin.  The reconstructions explain an average of 68% of the variability in the observed streamflow records and extend available records of streamflow back to 886 CE on average.  Basin-wide analyses suggest unprecedented hydroclimatic variability over the region during the Medieval period, similar to that observed in the Upper Colorado River Basin, and show considerable synchrony of persistent wet-dry phasing with the Colorado River over the last 1200 years.  Streamflow estimates in individual sub-basins of the Upper Missouri demonstrate increased spatial variability in discharge during the Little Ice Age (~1400-1850 CE) compared with the Medieval Climate Anomaly (~800-1400 CE).  The network of streamflow reconstructions presented here fills a major geographical void in paleohydrologic understanding and now allows for a long-term assessment of hydrological variability over the majority of the western U.S.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.105971","usgsCitation":"Martin, J.T., Pederson, G.T., Woodhouse, C.A., Cook, E.R., McCabe, G.J., Wise, E.K., Erger, P., Dolan, L., McGuire, M., Gangopadhyay, S., Chase, K.J., Littell, J., Gray, S., St. George, S., Friedman, J.M., Sauchyn, D.J., St. Jacques, J., and King, J.W., 2019, 1200 years of Upper Missouri River streamflow reconstructed from tree rings: Quaternary Science Reviews, v. 224, 105971, 14 p., https://doi.org/10.1016/j.quascirev.2019.105971.","productDescription":"105971, 14 p.","ipdsId":"IP-110388","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":459357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2019.105971","text":"Publisher Index Page"},{"id":368589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Missouri River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.7236328125,\n              45.920587344733654\n            ],\n            [\n              -98.173828125,\n              47.21956811231547\n            ],\n            [\n              -102.7001953125,\n              48.516604348867475\n            ],\n            [\n              -110.56640625,\n              48.40003249610685\n            ],\n            [\n              -115.224609375,\n              47.931066347509784\n            ],\n            [\n              -114.3017578125,\n              45.36758436884978\n            ],\n            [\n              -104.23828125,\n              39.027718840211605\n            ],\n            [\n              -98.6572265625,\n              37.47485808497102\n            ],\n            [\n              -93.7353515625,\n              36.70365959719456\n            ],\n            [\n              -92.5048828125,\n              38.06539235133249\n            ],\n            [\n              -96.7236328125,\n              45.920587344733654\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"224","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Justin T. 0000-0002-3523-6596","orcid":"https://orcid.org/0000-0002-3523-6596","contributorId":215418,"corporation":false,"usgs":true,"family":"Martin","given":"Justin","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":773834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":773833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":773835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Edward R","contributorId":218752,"corporation":false,"usgs":false,"family":"Cook","given":"Edward","email":"","middleInitial":"R","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":773836,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":773837,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wise, Erika K.","contributorId":202071,"corporation":false,"usgs":false,"family":"Wise","given":"Erika","email":"","middleInitial":"K.","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":773838,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erger, Patrick","contributorId":218753,"corporation":false,"usgs":false,"family":"Erger","given":"Patrick","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":773839,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dolan, Larry","contributorId":218754,"corporation":false,"usgs":false,"family":"Dolan","given":"Larry","affiliations":[{"id":39458,"text":"Montana Department of Natural Resources and Conservation","active":true,"usgs":false}],"preferred":false,"id":773840,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGuire, Marketa","contributorId":218755,"corporation":false,"usgs":false,"family":"McGuire","given":"Marketa","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":773841,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":773842,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":773843,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":773844,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gray, Stephen T. 0000-0002-0959-3418 sgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-3418","contributorId":209851,"corporation":false,"usgs":true,"family":"Gray","given":"Stephen","email":"sgray@usgs.gov","middleInitial":"T.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":773845,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"St. George, Scott","contributorId":218756,"corporation":false,"usgs":false,"family":"St. George","given":"Scott","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":773846,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773847,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sauchyn, David J.","contributorId":218758,"corporation":false,"usgs":false,"family":"Sauchyn","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":773848,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"St. Jacques, Jannine","contributorId":218759,"corporation":false,"usgs":false,"family":"St. Jacques","given":"Jannine","affiliations":[{"id":39901,"text":"West Concordia University","active":true,"usgs":false}],"preferred":false,"id":773849,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"King, John W.","contributorId":99601,"corporation":false,"usgs":false,"family":"King","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":773850,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70206087,"text":"70206087 - 2019 - Fossil tabulate corals reveal outcrops of Paleozoic sandstones in the Atlantic Coastal Plain Province, Southeastern USA","interactions":[],"lastModifiedDate":"2021-04-20T13:46:55.152632","indexId":"70206087","displayToPublicDate":"2019-10-24T16:09:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Fossil tabulate corals reveal outcrops of Paleozoic sandstones in the Atlantic Coastal Plain Province, Southeastern USA","docAbstract":"<p><span>The geologic history of the Southeastern United States of America is missing nearly 350-million-years of rocks, sediments, and fossils. This gap defines the Fall Line nonconformity where Upper Ordovician consolidated rocks are directly overlain by Upper Cretaceous unconsolidated sediments of the Atlantic Coastal Plain Province. Here we begin to fill in the missing geologic record by reporting the discovery of fossils of lower-to-middle Paleozoic tabulate corals (Syringophyllidae) in angular, quartz-rich, ferruginous sandstones that crop out in the Carolina Sandhills Physiographic Province that forms the updip margin of the Atlantic Coastal Plain Province near the Fall Line. These fossils of extinct tabulate corals are the first evidence that Paleozoic (Upper Ordovician–Lower Silurian) sandstones crop out amidst the mostly Mesozoic-to-Cenozoic deposits of the Atlantic Coastal Plain Province of the United States of America. This discovery of Paleozoic fossils and strata in a region in which they were previously entirely unknown offers a more complete insight into the geologic history of the Southern Appalachian Mountains Region, Carolina Sandhills and updip margin of the Atlantic Coastal Plain Province and extends the previously identified range of Syringophyllidae in North America.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0224248","usgsCitation":"Landmeyer, J.E., Tourneur, F., Denayer, J., and Zapalski, M.K., 2019, Fossil tabulate corals reveal outcrops of Paleozoic sandstones in the Atlantic Coastal Plain Province, Southeastern USA: PLoS ONE, v. 14, no. 10, e0224248, 13 p., https://doi.org/10.1371/journal.pone.0224248.","productDescription":"e0224248, 13 p.","ipdsId":"IP-111335","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":459372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0224248","text":"Publisher Index Page"},{"id":368724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","county":"Chesterfield County","otherGeospatial":"Atlantic Coastal Plain Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.88134765625,\n              34.225429015241396\n            ],\n            [\n              -79.91455078125,\n              34.225429015241396\n            ],\n            [\n              -79.91455078125,\n              34.89494244739732\n            ],\n            [\n              -80.88134765625,\n              34.89494244739732\n            ],\n            [\n              -80.88134765625,\n              34.225429015241396\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Landmeyer, James E. 0000-0002-5640-3816","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":216137,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tourneur, Francis","contributorId":219888,"corporation":false,"usgs":false,"family":"Tourneur","given":"Francis","email":"","affiliations":[{"id":40085,"text":"Department of Sciences, University of Liège","active":true,"usgs":false}],"preferred":false,"id":773521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denayer, Julien","contributorId":219889,"corporation":false,"usgs":false,"family":"Denayer","given":"Julien","email":"","affiliations":[{"id":40085,"text":"Department of Sciences, University of Liège","active":true,"usgs":false}],"preferred":false,"id":773522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zapalski, Mikolaj K","contributorId":219890,"corporation":false,"usgs":false,"family":"Zapalski","given":"Mikolaj","email":"","middleInitial":"K","affiliations":[{"id":40086,"text":"Department of Geology, University of Warsaw","active":true,"usgs":false}],"preferred":false,"id":773523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215874,"text":"70215874 - 2019 - Relative contribution of climate and non-climate drivers in determining dynamic rates ofboreal birds at the edge of their range","interactions":[],"lastModifiedDate":"2020-11-02T12:53:25.603834","indexId":"70215874","displayToPublicDate":"2019-10-24T13:15:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Relative contribution of climate and non-climate drivers in determining dynamic rates ofboreal birds at the edge of their range","docAbstract":"<p><span>The Adirondack Park in New York State contains a unique and limited distribution of boreal ecosystem types, providing habitat for a number of birds at the southern edge of their range. Species are projected to shift poleward in a warming climate, and the limited boreal forest of the Adirondacks is expected to undergo significant change in response to rising temperatures and changing precipitation patterns. Here we expand upon a previous analysis to examine changes in occupancy patterns for eight species of boreal birds over a decade (2007–2016), and we assess the relative contribution of climate and non-climate drivers in determining colonization and extinction rates. Our analysis identifies patterns of declining occupancy for six of eight species, including some declines which appear to have become more pronounced since a prior analysis. Although non-climate drivers such as wetland area, connectivity, and human footprint continue to influence colonization and extinction rates, we find that for most species, occupancy patterns are best described by climate drivers. We modeled both average and annual temperature and precipitation characteristics and find stronger support for species’ responses to average climate conditions, rather than interannual climate variability. In general, boreal birds appear most likely to colonize sites that have lower levels of precipitation and a high degree of connectivity, and they tend to persist in sites that are warmer in the breeding season and have low and less variable precipitation in the winter. It is likely that these responses reflect interactions between broader habitat conditions and temperature and precipitation variables. Indirect climate influences as mediated through altered species interactions may also be important in this context. Given climate change predictions for both temperature and precipitation, it is likely that habitat structural changes over the long term may alter these relationships in the future.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0224308","usgsCitation":"Glennon, M., Langdon, S., Rubenstein, M.A., and Cross, M.S., 2019, Relative contribution of climate and non-climate drivers in determining dynamic rates ofboreal birds at the edge of their range: PLoS ONE, v. 14, no. 10, e0224308, 19 p., https://doi.org/10.1371/journal.pone.0224308.","productDescription":"e0224308, 19 p.","ipdsId":"IP-106475","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":459378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0224308","text":"Publisher Index Page"},{"id":379989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.223388671875,\n              42.924251753870685\n            ],\n            [\n              -73.201904296875,\n              42.924251753870685\n            ],\n            [\n              -73.201904296875,\n              44.941473354802504\n            ],\n            [\n              -75.223388671875,\n              44.941473354802504\n            ],\n            [\n              -75.223388671875,\n              42.924251753870685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2019-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Glennon, Michale 0000-0002-7298-0728","orcid":"https://orcid.org/0000-0002-7298-0728","contributorId":218721,"corporation":false,"usgs":false,"family":"Glennon","given":"Michale","email":"","affiliations":[{"id":39895,"text":"Paul Smith's College","active":true,"usgs":false}],"preferred":false,"id":803567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langdon, Stephen 0000-0003-0490-021X","orcid":"https://orcid.org/0000-0003-0490-021X","contributorId":218722,"corporation":false,"usgs":false,"family":"Langdon","given":"Stephen","email":"","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":803568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":803569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Molly S. 0000-0002-4238-9208","orcid":"https://orcid.org/0000-0002-4238-9208","contributorId":149216,"corporation":false,"usgs":false,"family":"Cross","given":"Molly","middleInitial":"S.","affiliations":[{"id":17674,"text":"Wildlife Conservation Society, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":803570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206287,"text":"70206287 - 2019 - Climatic controls on the distribution of foundation plant species in coastal wetlands of the conterminous United States: Knowledge gaps and emerging research needs","interactions":[],"lastModifiedDate":"2019-12-03T09:58:55","indexId":"70206287","displayToPublicDate":"2019-10-24T13:14:59","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":"Climatic controls on the distribution of foundation plant species in coastal wetlands of the conterminous United States: Knowledge gaps and emerging research needs","docAbstract":"Foundation plant species play a critical role in coastal wetlands, often modifying abiotic conditions that are too stressful for most organisms and providing the primary habitat features that support entire ecological communities. Here, we consider the influence of climatic drivers on the distribution of foundation plant species within coastal wetlands of the conterminous USA. Using region-level syntheses, we identified 24 dominant foundation plant species within 12 biogeographic regions, and we categorized species and biogeographic regions into four groups: graminoids, mangroves, succulents, and unvegetated. Literature searches were used to characterize the level of research directed at each of the 24 species. Most coastal wetlands research has been focused on a subset of foundation species, with about 45% of publications directed at just one grass species—Spartina alterniflora. An additional 14 and 8% have been directed, respectively, at two mangrove species—Rhizophora mangle and Avicennia germinans. At the national scale, winter temperature extremes govern the distribution of mangrove forests relative to salt marsh graminoids, and arid conditions can produce hypersaline conditions that increase the dominance of succulent plants, algal mats, and unvegetated tidal flats (i.e., salt flats, salt pans) relative to graminoid and mangrove plants. Collectively, our analyses illustrate the diversity of foundation plant species in the conterminous USA and begin to elucidate the influence of climatic drivers on their distribution. However, our results also highlight critical knowledge gaps and identify emerging research needs for assessing climate change impacts. Given the importance of plant-mediated processes in coastal wetland ecosystems, there is a pressing need in many biogeographic regions for additional species- and functional group-specific research that can be used to better anticipate coastal wetland responses to rising sea levels and changing temperature and precipitation regimes.","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00640-z","usgsCitation":"Osland, M., Grace, J., Guntenspergen, G., Thorne, K., Carr, J., and Feher, L., 2019, Climatic controls on the distribution of foundation plant species in coastal wetlands of the conterminous United States: Knowledge gaps and emerging research needs: Estuaries and Coasts, v. 42, no. 8, p. 1991-2003, https://doi.org/10.1007/s12237-019-00640-z.","productDescription":"13 p.","startPage":"1991","endPage":"2003","ipdsId":"IP-104790","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":368711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":220094,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":220095,"corporation":false,"usgs":true,"family":"Grace","given":"James B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":220096,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":774085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorne, Karen","contributorId":220097,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carr, Joel 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":220098,"corporation":false,"usgs":true,"family":"Carr","given":"Joel","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":774087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":220099,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774088,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215567,"text":"70215567 - 2019 - Solute transport and transformation in an intermittent, headwater mountain stream with diurnal discharge fluctuations","interactions":[],"lastModifiedDate":"2020-10-23T13:52:31.396817","indexId":"70215567","displayToPublicDate":"2019-10-23T08:46:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Solute transport and transformation in an intermittent, headwater mountain stream with diurnal discharge fluctuations","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Time-variable discharge is known to control both transport and transformation of solutes in the river corridor. Still, few studies consider the interactions of transport and transformation together. Here, we consider how diurnal discharge fluctuations in an intermittent, headwater stream control reach-scale solute transport and transformation as measured with conservative and reactive tracers during a period of no precipitation. One common conceptual model is that extended contact times with hyporheic zones during low discharge conditions allows for increased transformation of reactive solutes. Instead, we found tracer timescales within the reach were related to discharge, described by a single discharge-variable StorAge Selection function. We found that Resazurin to Resorufin (Raz-to-Rru) transformation is static in time, and apparent differences in reactive tracer were due to interactions with different ages of storage, not with time-variable reactivity. Overall we found reactivity was highest in youngest storage locations, with minimal Raz-to-Rru conversion in waters older than about 20 h of storage in our study reach. Therefore, not all storage in the study reach has the same potential biogeochemical function and increasing residence time of solute storage does not necessarily increase reaction potential of that solute, contrary to prevailing expectations.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"Multidisciplinary Digital Publishing Institute (MDPI)","doi":"10.3390/w11112208","usgsCitation":"Ward, A.S., Kurz, M.J., Schmadel, N., Knapp, J.L., Blaen, P.J., Harman, C., Drummond, J.D., Hannah, D.M., Krause, S., Li, A., Marti, E., Milner, A., Neil, K., Plont, S., Packman, A.I., Wisnoski, N.I., Wondzell, S., and Zarnetske, J.P., 2019, Solute transport and transformation in an intermittent, headwater mountain stream with diurnal discharge fluctuations: Water, v. 11, no. 11, 2208, 21 p., https://doi.org/10.3390/w11112208.","productDescription":"2208, 21 p.","ipdsId":"IP-112639","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459396,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11112208","text":"Publisher Index Page"},{"id":379687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.45635986328124,\n              44.07377376789347\n            ],\n            [\n              -121.8218994140625,\n              44.07377376789347\n            ],\n            [\n              -121.8218994140625,\n              44.439663223436106\n            ],\n            [\n              -122.45635986328124,\n              44.439663223436106\n            ],\n            [\n              -122.45635986328124,\n              44.07377376789347\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, Adam S","contributorId":191363,"corporation":false,"usgs":false,"family":"Ward","given":"Adam","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":802745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurz, Marie J","contributorId":243623,"corporation":false,"usgs":false,"family":"Kurz","given":"Marie","email":"","middleInitial":"J","affiliations":[{"id":38143,"text":"The Academy of Natural Sciences of Drexel University","active":true,"usgs":false}],"preferred":false,"id":802746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmadel, Noah 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":802747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knapp, Julia LA","contributorId":243624,"corporation":false,"usgs":false,"family":"Knapp","given":"Julia","email":"","middleInitial":"LA","affiliations":[{"id":48754,"text":"Department of Environmental Systems Science, ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":802748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blaen, Phillip J","contributorId":242774,"corporation":false,"usgs":false,"family":"Blaen","given":"Phillip","email":"","middleInitial":"J","affiliations":[{"id":48522,"text":"School of Geography, Earth & Environmental Sciences, University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":802749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harman, Ciaran 0000-0002-3185-002X","orcid":"https://orcid.org/0000-0002-3185-002X","contributorId":242780,"corporation":false,"usgs":false,"family":"Harman","given":"Ciaran","email":"","affiliations":[{"id":48526,"text":"Department of Environmental Health and Engineering, Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":802750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Drummond, Jennifer D.","contributorId":191390,"corporation":false,"usgs":false,"family":"Drummond","given":"Jennifer","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":802751,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hannah, David M","contributorId":243626,"corporation":false,"usgs":false,"family":"Hannah","given":"David","email":"","middleInitial":"M","affiliations":[{"id":48522,"text":"School of Geography, Earth & Environmental Sciences, University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":802752,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krause, Stefan","contributorId":242782,"corporation":false,"usgs":false,"family":"Krause","given":"Stefan","email":"","affiliations":[{"id":48522,"text":"School of Geography, Earth & Environmental Sciences, University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":802753,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Li, Angang","contributorId":242784,"corporation":false,"usgs":false,"family":"Li","given":"Angang","email":"","affiliations":[{"id":48527,"text":"Department of Civil and Environmental Engineering, Northwestern University","active":true,"usgs":false}],"preferred":false,"id":802754,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marti, Eugenia","contributorId":243628,"corporation":false,"usgs":false,"family":"Marti","given":"Eugenia","affiliations":[{"id":48756,"text":"Integrative Freshwater Ecology Group, Center for Advanced Studies of Blanes","active":true,"usgs":false}],"preferred":false,"id":802755,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Milner, Alexander","contributorId":242787,"corporation":false,"usgs":false,"family":"Milner","given":"Alexander","affiliations":[{"id":48522,"text":"School of Geography, Earth & Environmental Sciences, University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":802756,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Neil, Kerry","contributorId":242788,"corporation":false,"usgs":false,"family":"Neil","given":"Kerry","email":"","affiliations":[{"id":48520,"text":"O’Neill School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":802757,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Plont, Stephen","contributorId":242789,"corporation":false,"usgs":false,"family":"Plont","given":"Stephen","affiliations":[{"id":48529,"text":"Department of Earth and Environmental Sciences, Michigan State University, East Lansing, Michigan, USA","active":true,"usgs":false}],"preferred":false,"id":802758,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Packman, Aaron I.","contributorId":124517,"corporation":false,"usgs":false,"family":"Packman","given":"Aaron","email":"","middleInitial":"I.","affiliations":[{"id":5041,"text":"Department of Civil and Environmental Engineering, Northwestern University, Evanston, Illinois, USA","active":true,"usgs":false}],"preferred":false,"id":802759,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wisnoski, Nathan I","contributorId":243629,"corporation":false,"usgs":false,"family":"Wisnoski","given":"Nathan","email":"","middleInitial":"I","affiliations":[{"id":48531,"text":"Department of Biology, Indiana University","active":true,"usgs":false}],"preferred":false,"id":802760,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wondzell, Steven","contributorId":242771,"corporation":false,"usgs":false,"family":"Wondzell","given":"Steven","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":802761,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zarnetske, Jay P.","contributorId":210073,"corporation":false,"usgs":false,"family":"Zarnetske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":802762,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70206717,"text":"70206717 - 2019 - A ship's ballasting history as an indicator of foraminiferal invasion potential--An example from Prince William Sound, Alaska, USA","interactions":[],"lastModifiedDate":"2019-11-20T06:21:30","indexId":"70206717","displayToPublicDate":"2019-10-23T07:54:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"A ship's ballasting history as an indicator of foraminiferal invasion potential--An example from Prince William Sound, Alaska, USA","docAbstract":"We investigated the potential role of ballast sediment from coastal and transoceanic oil tankers arriving and de-ballasting in Port Valdez as a vector for the introduction of invasive benthic foraminifera in Prince William Sound, Alaska. Forty-one ballast sediment samples were obtained in 1998-1999 from 11 oil tankers that routinely discharged their ballast in Prince William Sound after sailing from other West Coast (Los Angeles/Long Beach Harbor, San Francisco Bay, and Puget Sound) or foreign ports (Japan, Korea, and China) where they originally ballasted. Forty of these samples contained benthic foraminifera, including 27 (66%) with the introduced species Trochammina hadai Uchio from nine (81%) of the ships. In all, 59 species were recovered and foraminiferal abundance peaked at 27,000 specimens per gram dry sediment. Of the 41 samples, three were stained and living benthic foraminifera were recovered in all three of them. The entrained foraminifera reflected the number of times ballasting occurred (single or multiple sources), the location of ballasting (estuarine or offshore), and post-acquisition alteration of the sediment (i.e., growth of gypsum crystals at the possible expense of calcareous tests). In temperate regions, sediment samples resulting from single-source ballasting in estuaries (SSBE), multiple-source ballasting in estuaries (MSBE), single-source ballasting offshore (SSBO), and a combination of SSBO and SSBE or MSBE, typically contained increasingly higher species richness, respectively. The potential for an invasion is dependent on the presence of viable candidates and their survivability, their abundance in the ballasting location, and the number of times ballasting occurs, most of which are evident from the ship’s ballasting history.\n\nTrochammina hadai is a good example of a successful invasive in Prince William Sound for the following reasons: 1) the species is abundant enough in West Coast and foreign ports where ballasting occurs that sufficient individuals needed for reproduction may be transported to the receiving waters; 2) Port Valdez, in particular, receives repeated and frequent inoculations from the same source ports where T. hadai is present; 3) large quantities of sediment are taken up by commercial vessels during ballasting and benthic foraminifera occur in abundance in ballast sediment; 4) ballast sediment provides a suitable environment in which benthic foraminifera can survive for extended periods of time during transport; 5) T. hadai flourishes in a wide range of temperatures and environmental conditions that characterize both the ports where ballasting takes place as well as in Port Valdez where de-ballasting occurs; and 6) the species is capable of asexual reproduction and possibly the ability to form a dormant resting stage, both of which have the potential to lower the threshold for colonization. Clearly, ballast sediment is a viable vector for the introduction of T. hadai and other invasives into Alaskan ports and elsewhere worldwide.","language":"English","publisher":"GeoScienceWorld","doi":"10.2113/gsjfr.49.4.434","usgsCitation":"McGann, M., Ruiz, G.M., Hines, A.H., and Smith, G.D., 2019, A ship's ballasting history as an indicator of foraminiferal invasion potential--An example from Prince William Sound, Alaska, USA: Journal of Foraminiferal Research, v. 49, no. 4, p. 434-455, https://doi.org/10.2113/gsjfr.49.4.434.","productDescription":"22 p.","startPage":"434","endPage":"455","ipdsId":"IP-062102","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":369319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -149.4140625,\n              51.39920565355378\n            ],\n            [\n              -126.91406249999999,\n              51.39920565355378\n            ],\n            [\n              -126.91406249999999,\n              61.438767493682825\n            ],\n            [\n              -149.4140625,\n              61.438767493682825\n            ],\n            [\n              -149.4140625,\n              51.39920565355378\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":775536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruiz, Gregory M.","contributorId":220728,"corporation":false,"usgs":false,"family":"Ruiz","given":"Gregory","email":"","middleInitial":"M.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":775537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, Anson H.","contributorId":220729,"corporation":false,"usgs":false,"family":"Hines","given":"Anson","email":"","middleInitial":"H.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":775538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, George D.","contributorId":189119,"corporation":false,"usgs":false,"family":"Smith","given":"George","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":775539,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206299,"text":"70206299 - 2019 - Measuring sustainability of seed-funded Earth science informatics projects","interactions":[],"lastModifiedDate":"2019-10-30T06:51:04","indexId":"70206299","displayToPublicDate":"2019-10-23T06:50:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Measuring sustainability of seed-funded Earth science informatics projects","docAbstract":"Short term funding is a common funding model for informatics projects. Funders are interested in maximizing the sustainability and accessibility of the outputs, but there are no commonly accepted practices to do so in the Earth sciences informatics field. We constructed and applied a framework for sustainability drawing from other disciplines that have more published work in sustainability of projects. This framework had seven sustainability influences (outputs modified, code repository used, champion present, workforce stability, support from other organizations, collaboration/partnership, and integration with policy), and three ways of defining sustainability (at the individual-, organization-, and community-level). Using this framework, we evaluated outputs of projects funded by the U.S. Geological Survey’s Community for Data Integration (CDI). We found that the various outputs are widely accessible, but not necessarily sustained or maintained. Projects with most of the sustainability influences often became institutionalized, and met a required need of the community. Even if proposed outputs were not delivered or sustained, knowledge of lessons learned could be spread to build community capacity in a topic, which is another type of sustainability. We conclude by summarizing lessons for individuals applying for short-term funding, and for organizations running programs that provide such funding, in terms of maximizing sustainability of their projects.","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0222807","usgsCitation":"Hsu, L., Hutchison, V.B., and Langseth, M., 2019, Measuring sustainability of seed-funded Earth science informatics projects: PLoS ONE, v. 14, no. 10, e0222807, 25 p., https://doi.org/10.1371/journal.pone.0222807.","productDescription":"e0222807, 25 p.","ipdsId":"IP-103916","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":459406,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0222807","text":"Publisher Index Page"},{"id":437295,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V3XDY6","text":"USGS data release","linkHelpText":"Data on the Deliverables, Sustainability, and Collaboration of Community for Data Integration Projects from 2010-2016"},{"id":368730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":774118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutchison, Vivian B. 0000-0001-5301-3698 vhutchison@usgs.gov","orcid":"https://orcid.org/0000-0001-5301-3698","contributorId":173674,"corporation":false,"usgs":true,"family":"Hutchison","given":"Vivian","email":"vhutchison@usgs.gov","middleInitial":"B.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":774119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langseth, Madison 0000-0002-4472-9106 mlangseth@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-9106","contributorId":191744,"corporation":false,"usgs":true,"family":"Langseth","given":"Madison","email":"mlangseth@usgs.gov","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":774120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206171,"text":"70206171 - 2019 - Caryospora-like coccidia infecting green turtles (Chelonia mydas): An emerging disease with evidence of interoceanic dissemination","interactions":[],"lastModifiedDate":"2019-11-18T10:51:39","indexId":"70206171","displayToPublicDate":"2019-10-22T13:46:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5720,"text":"Frontiers in Veterinary Science","onlineIssn":"2297-1769","active":true,"publicationSubtype":{"id":10}},"title":"Caryospora-like coccidia infecting green turtles (Chelonia mydas): An emerging disease with evidence of interoceanic dissemination","docAbstract":"Protozoa morphologically consistent with Caryospora sp. are one of the few pathogens associated with episodic mass mortality events involving free-ranging sea turtles. Parasitism of green turtles (Chelonia mydas) by these coccidia and associated mortality was first reported in maricultured turtles in the Caribbean during the 1970s. Years later, epizootics affecting wild green turtles in Australia occurred in 1991 and 2014. The first clinical cases of Caryospora-like infections reported elsewhere in free-ranging turtles were from the southeastern US in 2012. Following these initial individual cases in this region, we documented an epizootic and mass mortality of green turtles along the Atlantic coast of southern Florida from November 2014 through April 2015 and continued to detect additional, sporadic cases in the southeastern US in subsequent years. No cases of coccidial disease were recorded in the southeastern US prior to 2012 despite clinical evaluation and necropsy of stranded sea turtles in this region since the 1980s, suggesting that the frequency of clinical coccidiosis has increased here. Moreover, we also recorded the first stranding associated with infection by a Caryospora-like organism in Hawai'i in 2018. To further characterize the coccidia, we sequenced part of the 18S ribosomal and mitochondrial cytochrome oxidase I genes of coccidia collected from 62 green turtles found in the southeastern US and from one green turtle found in Hawai'i. We also sequenced the ribosomal internal transcribed spacer regions from selected cases and compared all results with those obtained from Caryospora-like coccidia collected from green turtles found in Australia. Eight distinct genotypes were represented in green turtles from the southeastern US. One genotype predominated and was identical to that of coccidia collected from the green turtle found in Hawai'i. We also found a coccidian genotype in green turtles from Florida and Australia with identical 18S and mitochondrial sequences, and only slight inter-regional differences in the internal transcribed spacer 2. We found no evidence of geographical structuring based on phylogenetic analysis. Low genetic variability among the coccidia found in green turtle populations with minimal natural connectivity suggests recent interoceanic dissemination of these parasites, which could pose a risk to sea turtle populations.","language":"English","publisher":"Frontiers Media ","doi":"10.3389/fvets.2019.00372","usgsCitation":"Stacy, B.A., Chapman, P.A., Stockdale-Walden, H., Work, T.M., Dagenais, J., Foley, A.M., Wideroff, M., , W., Childress, A.L., Manire, C.A., Rodriguez, M., Zachariah, T.T., Staggs, L., Zirkelbach, B., Nahvi, N., Crowder, W., Boylan, S.M., Marquardt, S., Norton, T.M., and Pelton, C., 2019, Caryospora-like coccidia infecting green turtles (Chelonia mydas): An emerging disease with evidence of interoceanic dissemination: Frontiers in Veterinary Science, v. 6, p. 1-12, https://doi.org/10.3389/fvets.2019.00372.","productDescription":"372, 12p.","startPage":"1","endPage":"12","ipdsId":"IP-112802","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":459409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fvets.2019.00372","text":"Publisher Index Page"},{"id":368559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stacy, Brian A.","contributorId":216682,"corporation":false,"usgs":false,"family":"Stacy","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":39500,"text":"NOAA Fisheries, Office of Protected Resources, University of Florida, Gainesville, Florida, 32603, United States of America","active":true,"usgs":false}],"preferred":false,"id":773760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Phoebe A.","contributorId":220001,"corporation":false,"usgs":false,"family":"Chapman","given":"Phoebe","email":"","middleInitial":"A.","affiliations":[{"id":40108,"text":"Veterinary-Marine Animal Research Teaching and Investigation Unit, School of Veterinary Science, University of Queensland, Gatton, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":773761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdale-Walden, Heather","contributorId":220002,"corporation":false,"usgs":false,"family":"Stockdale-Walden","given":"Heather","email":"","affiliations":[{"id":40109,"text":"3Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":773759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dagenais, Julie 0000-0001-5560-9946 jdagenais@usgs.gov","orcid":"https://orcid.org/0000-0001-5560-9946","contributorId":5955,"corporation":false,"usgs":true,"family":"Dagenais","given":"Julie","email":"jdagenais@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":773763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foley, Allen M.","contributorId":195874,"corporation":false,"usgs":false,"family":"Foley","given":"Allen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773764,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wideroff, Morgan","contributorId":220003,"corporation":false,"usgs":false,"family":"Wideroff","given":"Morgan","email":"","affiliations":[{"id":40110,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, Jacksonville Field Laboratory, Jacksonville, USA","active":true,"usgs":false}],"preferred":false,"id":773765,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":" Wellehan","contributorId":220004,"corporation":false,"usgs":false,"given":"Wellehan","email":"","affiliations":[{"id":40109,"text":"3Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773766,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Childress, April L.","contributorId":220005,"corporation":false,"usgs":false,"family":"Childress","given":"April","email":"","middleInitial":"L.","affiliations":[{"id":40111,"text":"Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773767,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Manire, Charles A.","contributorId":20572,"corporation":false,"usgs":false,"family":"Manire","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":775467,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rodriguez, Mya","contributorId":220006,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Mya","email":"","affiliations":[{"id":40112,"text":"Miami Seaquarium, Miami, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773768,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zachariah, Trevor T.","contributorId":220007,"corporation":false,"usgs":false,"family":"Zachariah","given":"Trevor","email":"","middleInitial":"T.","affiliations":[{"id":40113,"text":"Sea Turtle Healing Center, Brevard Zoo, Melbourne, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773769,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Staggs, Lydia","contributorId":220008,"corporation":false,"usgs":false,"family":"Staggs","given":"Lydia","email":"","affiliations":[{"id":40114,"text":"Veterinary Services, Zoological Operations, SeaWorld Orlando, Orlando, FL,USA","active":true,"usgs":false}],"preferred":false,"id":773770,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zirkelbach, Bette","contributorId":220009,"corporation":false,"usgs":false,"family":"Zirkelbach","given":"Bette","email":"","affiliations":[{"id":40115,"text":"The Turtle Hospital, Marathon, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773771,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nahvi, Nina","contributorId":220010,"corporation":false,"usgs":false,"family":"Nahvi","given":"Nina","email":"","affiliations":[{"id":40116,"text":"11Sea Turtle, Inc., South Padre Island, TX, USA","active":true,"usgs":false}],"preferred":false,"id":773772,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Crowder, Whitney","contributorId":220011,"corporation":false,"usgs":false,"family":"Crowder","given":"Whitney","email":"","affiliations":[{"id":40117,"text":"Gumbo Limbo Nature Center, Sea Turtle Rehabilitation Facility, Boca Raton, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773773,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Boylan, Shane M.","contributorId":220012,"corporation":false,"usgs":false,"family":"Boylan","given":"Shane","email":"","middleInitial":"M.","affiliations":[{"id":40118,"text":"Clearwater Marine Aquarium, Clearwater, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773774,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Marquardt, Shelly","contributorId":220013,"corporation":false,"usgs":false,"family":"Marquardt","given":"Shelly","email":"","affiliations":[{"id":40118,"text":"Clearwater Marine Aquarium, Clearwater, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773775,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pelton, Craig","contributorId":220014,"corporation":false,"usgs":false,"family":"Pelton","given":"Craig","email":"","affiliations":[{"id":40119,"text":"Volusia Marine Science Center, Ponce Inlet, FL, USA","active":true,"usgs":false}],"preferred":false,"id":773776,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Norton, Terry M.","contributorId":195875,"corporation":false,"usgs":false,"family":"Norton","given":"Terry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773777,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70206188,"text":"70206188 - 2019 - 13C and 15N NMR identification of product compound classes from aqueous and solid phase photodegradation of 2,4,6-trinitrotoluene","interactions":[],"lastModifiedDate":"2019-10-25T07:16:09","indexId":"70206188","displayToPublicDate":"2019-10-22T07:15:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"13C and 15N NMR identification of product compound classes from aqueous and solid phase photodegradation of 2,4,6-trinitrotoluene","docAbstract":"Abstract \nPhotolysis is one of the main transformation pathways for 2,4,6-trinitrotoluene (TNT) released into the environment. Upon exposure to sunlight, TNT is known to undergo both oxidation and reduction reactions with release of nitrite, nitrate, and ammonium ions, followed by condensation reactions of the oxidation and reduction products. In this study, compound classes of transformation products from the aqueous and solid phase photodegradation of 2,4,6-trinitrotoluene (TNT) have been identified by liquid and solid state 13C and 15N NMR. Aqueous phase experiments were performed on saturated solutions of T15NT in deionized water, natural pond water (pH = 8.3, DOC = 3.0 mg/L), pH 8.0 buffer solution, and in the presence of Suwannee River Natural Organic Matter (SRNOM; pH = 3.7), using a Pyrex-filtered medium pressure mercury lamp. Natural sunlight irradiations were performed on TNT in the solid phase and dissolved in the pond water. In deionized water, carboxylic acid, aldehyde, aromatic amine, primary amide, azoxy, nitrosophenol, and azo compounds were formed. 15N NMR spectra exhibited major peaks centered at 128 to 138 ppm, which are in the range of phenylhydroxylamine and secondary amide nitrogens. The secondary amides are proposed to represent benzanilides, which would arise from photochemical rearrangement of nitrones formed from the condensation of benzaldehyde and phenylhydroxylamine derivatives of TNT. The same compound classes were formed from sunlight irradiation of TNT in the solid phase. Whereas carboxylic acids, aldehydes, aromatic amines, phenylhydroxylamines, and amides were also formed from irradiation of TNT in pond water and in pH 8 buffer solution, azoxy and azo compound formation was inhibited. Solid state 15N NMR spectra of photolysates from the lamp irradiation of unlabeled 2,6-dinitrotoluene in deionized water also demonstrated the formation of aromatic amine, phenylhydroxylamine/ 2° amide, azoxy, and azo nitrogens.","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0224112","usgsCitation":"Thorn, K., 2019, 13C and 15N NMR identification of product compound classes from aqueous and solid phase photodegradation of 2,4,6-trinitrotoluene: PLoS ONE, v. 14, no. 10, 61 p., https://doi.org/10.1371/journal.pone.0224112.","productDescription":"61 p.","ipdsId":"IP-106160","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459421,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0224112","text":"Publisher Index Page"},{"id":368595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Thorn, Kevin A. 0000-0003-2236-5193","orcid":"https://orcid.org/0000-0003-2236-5193","contributorId":220016,"corporation":false,"usgs":true,"family":"Thorn","given":"Kevin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":773794,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70214521,"text":"70214521 - 2019 - Debris-flow monitoring and warning: Review and examples","interactions":[],"lastModifiedDate":"2020-09-30T14:30:29.965691","indexId":"70214521","displayToPublicDate":"2019-10-21T09:30:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Debris-flow monitoring and warning: Review and examples","docAbstract":"<p><span>Debris flows represent one of the most dangerous types of mass movements, because of their high velocities, large impact forces and long runout distances. This review describes the available debris-flow monitoring techniques and proposes recommendations to inform the design of future monitoring and warning/alarm systems. The selection and application of these techniques is highly dependent on site and hazard characterization, which is illustrated through detailed descriptions of nine monitoring sites: five in Europe, three in Asia and one in the USA. Most of these monitored catchments cover less than ∼10</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>&nbsp;and are topographically rugged with Melton Indices greater than 0.5. Hourly rainfall intensities between 5 and 15</span><span>&nbsp;</span><span>mm/h are sufficient to trigger debris flows at many of the sites, and observed debris-flow volumes range from a few hundred up to almost one million cubic meters. The sensors found in these monitoring systems can be separated into two classes: a class measuring the initiation mechanisms, and another class measuring the flow dynamics. The first class principally includes rain gauges, but also contains of soil moisture and pore-water pressure sensors. The second class involves a large variety of sensors focusing on flow stage or ground vibrations and commonly includes video cameras to validate and aid in the data interpretation. Given the sporadic nature of debris flows, an essential characteristic of the monitoring systems is the differentiation between a continuous mode that samples at low frequency (“non-event mode”) and another mode that records the measurements at high frequency (“event mode”). The event detection algorithm, used to switch into the “event mode” depends on a threshold that is typically based on rainfall or ground vibration. Identifying the correct definition of these thresholds is a fundamental task not only for monitoring purposes, but also for the implementation of warning and alarm systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2019.102981","usgsCitation":"Hurlimann, M., Coviello, V., Bel, C., Guo, X., Berti, M., Graf, C., Hubl, J., Miyata, S., Smith, J.B., and Yin, H., 2019, Debris-flow monitoring and warning: Review and examples: Earth-Science Reviews, v. 199, 102981, 26 p., https://doi.org/10.1016/j.earscirev.2019.102981.","productDescription":"102981, 26 p.","ipdsId":"IP-112575","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459437,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2117/177770","text":"External Repository"},{"id":378905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"199","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hurlimann, Marcel","contributorId":241626,"corporation":false,"usgs":false,"family":"Hurlimann","given":"Marcel","email":"","affiliations":[{"id":48365,"text":"Department Division of Geotechnical Engineering and Geosciences, Department of Civil and Environmental Engineering UPC BarcelonaTECH, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":799791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coviello, Velio","contributorId":241627,"corporation":false,"usgs":false,"family":"Coviello","given":"Velio","email":"","affiliations":[{"id":48366,"text":"Faculty of Science and Technology, Free University of Bozen-Bolzano, Italy","active":true,"usgs":false}],"preferred":false,"id":799792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bel, Coraline","contributorId":241628,"corporation":false,"usgs":false,"family":"Bel","given":"Coraline","email":"","affiliations":[{"id":48367,"text":"Université Grenoble Alpes, Irstea, UR ETNA, St-Martin-d’Hères, France","active":true,"usgs":false}],"preferred":false,"id":799793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Xiaojun","contributorId":241629,"corporation":false,"usgs":false,"family":"Guo","given":"Xiaojun","email":"","affiliations":[{"id":48368,"text":"Key Laboratory of Mountain Surface Process and Hazards/Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China","active":true,"usgs":false}],"preferred":false,"id":799794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berti, Matteo","contributorId":241630,"corporation":false,"usgs":false,"family":"Berti","given":"Matteo","affiliations":[{"id":48369,"text":"Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Bologna, Bologna, Italy","active":true,"usgs":false}],"preferred":false,"id":799795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graf, Christoph","contributorId":241631,"corporation":false,"usgs":false,"family":"Graf","given":"Christoph","email":"","affiliations":[{"id":34058,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":799796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hubl, Johannes","contributorId":241632,"corporation":false,"usgs":false,"family":"Hubl","given":"Johannes","email":"","affiliations":[{"id":48370,"text":"Institute of Mountain Risk engineering, Department of Natural Hazards and Civil Engineering, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":799797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miyata, Shusuke","contributorId":241633,"corporation":false,"usgs":false,"family":"Miyata","given":"Shusuke","email":"","affiliations":[{"id":48371,"text":"Disaster Prevention Research Institute, Kyoto University, Takayama, Japan","active":true,"usgs":false}],"preferred":false,"id":799798,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799799,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yin, Hsiao-Yuan","contributorId":241634,"corporation":false,"usgs":false,"family":"Yin","given":"Hsiao-Yuan","email":"","affiliations":[{"id":48373,"text":"Soil and Water Conservation Bureau, Council of Agriculture, Nantou, Taiwan","active":true,"usgs":false}],"preferred":false,"id":799800,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70215413,"text":"70215413 - 2019 - A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay Case Study","interactions":[],"lastModifiedDate":"2020-10-20T13:24:52.488251","indexId":"70215413","displayToPublicDate":"2019-10-19T14:01:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay Case Study","docAbstract":"Nutrient-reduction efforts have been undertaken in recent decades to mitigate the impacts of eutrophication in coastal and estuarine systems worldwide. To track progress in response to one of these efforts we use Generalized Additive Models (GAMs) to evaluate a diverse suite of water quality constituents over a 32-year period in the Chesapeake Bay, an estuary on the east coast of the United States. Model development included selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporating hydrologic variability via either river flow or salinity, and using interventions to model method or laboratory changes suspected to impact data. This approach, transferable to other systems, allows for evaluation of water quality data in a statistically rigorous way, while being suitable for application to many sites and variables. This enables consistent generation of annual updates, while providing a tool for developing insights to a range of management- and research-focused questions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2019.03.027","usgsCitation":"Murphy, R., Perry, E., Harcum, J., and Keisman, J.L., 2019, A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay Case Study: Environmental Modelling & Software, v. 118, 13 p., https://doi.org/10.1016/j.envsoft.2019.03.027.","productDescription":"13 p.","ipdsId":"IP-105288","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":379527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.40966796875,\n              36.756490329505176\n            ],\n            [\n              -75.5419921875,\n              36.756490329505176\n            ],\n            [\n              -75.5419921875,\n              39.57182223734374\n            ],\n            [\n              -77.40966796875,\n              39.57182223734374\n            ],\n            [\n              -77.40966796875,\n              36.756490329505176\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":802095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Elgin","contributorId":243340,"corporation":false,"usgs":false,"family":"Perry","given":"Elgin","affiliations":[{"id":48694,"text":"Statistics Consultant","active":true,"usgs":false}],"preferred":false,"id":802096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harcum, Jon","contributorId":243341,"corporation":false,"usgs":false,"family":"Harcum","given":"Jon","email":"","affiliations":[{"id":48695,"text":"Tetra Tech, Inc.","active":true,"usgs":false}],"preferred":false,"id":802097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802098,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215411,"text":"70215411 - 2019 - Dextral, normal, and sinistral faulting across the eastern California shear zone-Mina deflection transition, California-Nevada","interactions":[],"lastModifiedDate":"2020-10-20T13:30:40.254733","indexId":"70215411","displayToPublicDate":"2019-10-19T13:35:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dextral, normal, and sinistral faulting across the eastern California shear zone-Mina deflection transition, California-Nevada","docAbstract":"<p><span>Strike-slip faults commonly include extensional and contractional bends and stepovers, whereas rotational stepovers are less common. The Volcanic Tableland, Black Mountain, and River Spring areas (California and Nevada, USA) (hereafter referred to as the VBR region) straddle the transition from the dominantly NW-striking dextral faults that define the northwestern part of the eastern California shear zone into a rotational stepover characterized by dominantly NE-striking sinistral faults that define the southwestern Mina deflection. New detailed geologic mapping, structural studies, and&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar geochronology across the VBR region allow us to calculate Pliocene to Pleistocene fault slip rates and test predictions for the kinematics of fault slip transfer into this rotational stepover. In the VBR, Mesozoic basement is nonconformably overlain by a Miocene sequence of rhyolite, dacite, and andesite volcanic rocks that yield&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages between 22.878 ± 0.051 Ma and 11.399 ± 0.041 Ma. Miocene rocks are unconformably overlain by an extensive sequence of Pliocene basalt and andesite lava flows and cinder cones that yield&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages between 3.606 ± 0.060 Ma and 2.996 ± 0.027 Ma. The Pliocene sequence is, in turn, unconformably overlain by Quaternary tuffs and sedimentary rocks. This sequence of rocks is cut by NS- to NW-striking normal faults across the Volcanic Tableland that transition northward into NS-striking normal faults across the Black Mountain area and that, in turn, transition northward into NW-striking dextral and NE-striking sinistral faults in the River Spring area. A range of geologic markers were used to measure offset across the faults in the VBR, and combined with the age of the markers, yield minimum ∼EW-extension rates of ∼0.5 mm/yr across the Volcanic Tableland and Black Mountain regions, and minimum NW-dextral slip and NE-sinistral slip rates of ∼0.7 and ∼0.3 mm/yr, respectively, across the River Spring region. In the River Spring area, our preferred minimum dextral slip and sinistral slip rates are 0.8–0.9 mm/yr and 0.7–0.9 mm/yr, respectively. We propose three kinematic fault slip models, two irrotational and one rotational, whereby the VBR region transfers a portion of dextral Owens Valley fault slip northwestward into the Mina deflection. In irrotational model 1, Owens Valley fault slip is partitioned into two components, one northeastward onto the White Mountain fault zone and one northwestward into the Volcanic Tableland. Slip from the two zones is then transferred northward into the southwestern Mina deflection. In irrotational model 2, Owens Valley fault slip is partitioned into three components, with the third component partitioned west-northwest onto the Sierra Nevada frontal fault zone. In the rotational model, predicted sinistral slip rates across the southwestern Mina deflection are at least 115% greater than our observed minimum slip rates, implying our minimum observed rates underestimate true sinistral slip rates. A comparison of summed geologic fault slip rates, parallel to motion of the Sierra Nevada block relative to the central Great Basin, from the Sierra Nevada northeastward across the VBR region and into western Nevada are the same as geodetic rates, if our assumptions about the geologic slip rate across the dextral White Mountain fault zone is correct.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01636.1","usgsCitation":"DeLano, K., Lee, J., Roper, R., and Calvert, A.T., 2019, Dextral, normal, and sinistral faulting across the eastern California shear zone-Mina deflection transition, California-Nevada: Geosphere, v. 15, no. 4, p. 1206-1239, https://doi.org/10.1130/GES01636.1.","productDescription":"34 p.","startPage":"1206","endPage":"1239","ipdsId":"IP-097991","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":459455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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 \"}}]}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"DeLano, Kevin","contributorId":243338,"corporation":false,"usgs":false,"family":"DeLano","given":"Kevin","email":"","affiliations":[{"id":48692,"text":"CWU student, now at California State Water Resources","active":true,"usgs":false}],"preferred":false,"id":802089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Jeffrey","contributorId":193437,"corporation":false,"usgs":false,"family":"Lee","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":802090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roper, Rachelle","contributorId":243339,"corporation":false,"usgs":false,"family":"Roper","given":"Rachelle","email":"","affiliations":[{"id":48693,"text":"Central Washington University student","active":true,"usgs":false}],"preferred":false,"id":802091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":802092,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215410,"text":"70215410 - 2019 - Geese mediate vegetation state changes with parallel effects on N cycling that leave nutritional legacies for offspring","interactions":[],"lastModifiedDate":"2020-10-20T13:48:08.938633","indexId":"70215410","displayToPublicDate":"2019-10-19T13:03:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geese mediate vegetation state changes with parallel effects on N cycling that leave nutritional legacies for offspring","docAbstract":"<p><span>Along the coastal fringe of the Yukon–Kuskokwim River Delta in southwestern Alaska, geese maintain grazing lawns dominated by a rhizomatous sedge that, when ungrazed, transitions to a taller, less palatable growth form that is taxonomically described as a different species. Nutrients recycled in goose feces, in conjunction with grazing, are critical to the rapid, nutritious growth of grazing lawns, and selective foraging on lawns has positive life‐history consequences for goslings. To examine whether bidirectional vegetation shifts were accompanied by parallel changes in N cycling, we studied how&nbsp;</span><sup>15</sup><span>N‐urea and&nbsp;</span><sup>13</sup><span>C</span><sup>15</sup><span>N‐glycine were processed through soils and plants of native and recently reverted vegetation states. Biomass and plant&nbsp;</span><sup>15</sup><span>N uptake from plots reverted to the tall growth form using exclosures and from those shifted to grazing lawns by experimental clipping and then goose grazing were identical to their native counterparts. Total recovery of&nbsp;</span><sup>15</sup><span>N within the tall vegetation types was significantly greater than within grazing lawns, although when expressed on a per‐gram biomass basis, percentage of&nbsp;</span><sup>15</sup><span>N recovery was significantly higher in grazing lawns compared with the tall vegetation state. Patterns of&nbsp;</span><sup>13</sup><span>C enrichment in CO</span><sub>2</sub><span>&nbsp;soil efflux showed rapid use of&nbsp;</span><sup>13</sup><span>C‐glycine as a respiratory substrate within the first hour following injection, with both the timing and magnitude of efflux occurring at similar time points for all four vegetation types. However, higher soil respiration rates and a shorter half‐life for&nbsp;</span><sup>13</sup><span>C‐glycine in soils from tall meadows resulted in a greater proportional loss of&nbsp;</span><sup>13</sup><span>CO</span><sub>2</sub><span>&nbsp;compared with grazing lawns. Despite daily‐to‐weekly tidal inundation, all of&nbsp;</span><sup>15</sup><span>N from labeled substrates could be accounted for within 1&nbsp;m of the injection grid from soils of both states after 30&nbsp;d, with significant levels of&nbsp;</span><sup>15</sup><span>N in soils and vegetation after one year. Geese have remarkably high fidelity to brood‐rearing areas, returning as adults to the same grazing lawns where they were raised as goslings. Our data suggest that the role fecal‐derived nutrients play in the positive feedback loop between geese and their food resources can provide a long‐term legacy that spans generations.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2850","usgsCitation":"Ruess, R.W., McFarland, J., Person, B.T., and Sedinger, J.S., 2019, Geese mediate vegetation state changes with parallel effects on N cycling that leave nutritional legacies for offspring: Ecosphere, v. 10, no. 8, e02850, 16 p., https://doi.org/10.1002/ecs2.2850.","productDescription":"e02850, 16 p.","ipdsId":"IP-107059","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2850","text":"Publisher Index Page"},{"id":379523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon–Kuskokwim River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -166.31927490234372,\n              60.7672084234438\n            ],\n            [\n              -163.85284423828125,\n              60.7672084234438\n            ],\n            [\n              -163.85284423828125,\n              61.55280114177263\n            ],\n            [\n              -166.31927490234372,\n              61.55280114177263\n            ],\n            [\n              -166.31927490234372,\n              60.7672084234438\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruess, Roger W.","contributorId":45483,"corporation":false,"usgs":false,"family":"Ruess","given":"Roger","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":802085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Jack 0000-0001-9672-8597","orcid":"https://orcid.org/0000-0001-9672-8597","contributorId":214819,"corporation":false,"usgs":true,"family":"McFarland","given":"Jack","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":802086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Person, Brian T.","contributorId":107457,"corporation":false,"usgs":false,"family":"Person","given":"Brian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":802088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sedinger, James S.","contributorId":213694,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":802087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215409,"text":"70215409 - 2019 - Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-10-19T18:01:53.210147","indexId":"70215409","displayToPublicDate":"2019-10-19T12:45:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5979,"text":"Ocean Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico","docAbstract":"Meteotsunamis associated with passing squall lines are often observed ahead of cold fronts during winter seasons in Northern Gulf of Mexico. These types of meteotsunamis occur simultaneously with wind speed variations (~5-20 m/s) and sea-level atmospheric pressure oscillations (~1-6 hPa) with periods between 2 hours to several minutes. In order to enhance understanding of meteotsunami generation and propagation mechanisms, a Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system is applied to one of the most intense winter meteotsunamis measured in Northern Gulf of Mexico in the last decade (2009-2018).  The model verification with sea level and atmospheric observations show that the fully-coupled model is able to reproduce the timing and intensity of the 10-m wind and sea level atmospheric pressure fluctuations. The mean bias between observed and measured wind speeds and atmospheric pressure are 1.73 m/s and 0.63 hPa respectively. The maximum meteotsunami elevation and its timing are successfully captured by modeled (with a 7% underestimation of the maximum elevation). The relative effect of atmospheric pressure and wind stress divergence on meteotsunami generation is assessed with different numerical simulations. Results indicate that both wind stress and atmospheric pressure oscillations contributed to the generation of the meteotsunami. Wind stress was the dominant force in shallow waters (<15 m in this application), while the effects of atmospheric pressure disturbances dominated over areas with Froude number close to one (~40 m in this application). During the passage of the squall line, the sea surface became rougher in a sea state characterized by young and steep local ocean waves. Compared to a purely wind-speed-dependent roughness scheme, the application of a wave-dependent roughness parameterization improved in 37% modeled meteotsunami maximum elevation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2019.101408","usgsCitation":"Shi, L., Olabarrieta, M., Valle-Levinson, A., and Warner, J., 2019, Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico: Ocean Modeling, v. 140, 101408,  15 p., https://doi.org/10.1016/j.ocemod.2019.101408.","productDescription":"101408,  15 p.","ipdsId":"IP-099874","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocemod.2019.101408","text":"Publisher Index Page"},{"id":379522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.8671875,\n              27.352252938063845\n            ],\n            [\n              -82.353515625,\n              27.352252938063845\n            ],\n            [\n              -82.353515625,\n              30.92107637538488\n            ],\n            [\n              -93.8671875,\n              30.92107637538488\n            ],\n            [\n              -93.8671875,\n              27.352252938063845\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Lijing","contributorId":192873,"corporation":false,"usgs":false,"family":"Shi","given":"Lijing","email":"","affiliations":[],"preferred":false,"id":802081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":802082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valle-Levinson, Arnoldo","contributorId":243337,"corporation":false,"usgs":false,"family":"Valle-Levinson","given":"Arnoldo","email":"","affiliations":[{"id":48691,"text":"Civil and Coastal Engineering Department, ESSIE, University of Florida 365 Weil Hall, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":802083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":802084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207162,"text":"70207162 - 2019 - Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches","interactions":[],"lastModifiedDate":"2019-12-12T06:27:12","indexId":"70207162","displayToPublicDate":"2019-10-17T15:31:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches","docAbstract":"The delineation of intraspecific units that are evolutionarily and demographically distinct is an important step in the development of species-specific management plans. Neutral genetic variation has served as the primary data source for delineating “evolutionarily significant units,” but with recent advances in genomic technology, we now have an unprecedented ability to utilize information about neutral and adaptive variation across the entire genome. Here, we use traditional genetic markers (microsatellites) and a newer reduced-representation genomic approach (single nucleotide polymorphisms) to delineate distinct groups of white-tailed ptarmigan (Lagopus leucura), an alpine-obligate species that is distributed in naturally fragmented habitats from Alaska to New Mexico. Five subspecies of white-tailed ptarmigan are currently recognized but their distinctiveness has not been verified with molecular data. Based on analyses of 436 samples at 12 microsatellite loci and 95 samples at 14,866 single nucleotide polymorphism loci, we provide strong support for treating two subspecies as distinct intraspecific units—L. l. altipetens, found in Colorado and neighboring states; and L. l. saxatilis, found on British Columbia’s Vancouver Island—but our findings reveal more moderate patterns of divergence within the remainder of the species’ range. Results based on genetic and genomic datasets generally agreed with one another, indicating that in many cases microsatellite loci may be sufficient for describing major patterns of genetic structure across species’ ranges. This work will inform future conservation and management decisions for the white-tailed ptarmigan, a species that may be vulnerable to future changes in climate.","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1115-2","usgsCitation":"Langin, K., Aldridge, C.L., Fike, J., Cornman, R.S., Martin, K.M., Wann, G., Seglund, A.E., Schroeder, M.A., Benson, D.P., Fedy, B.C., Young, J.R., Wilson, S.D., Wolfe, D., Braun, C.E., and Oyler-McCance, S.J., 2019, Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches: Conservation Genetics, v. 19, no. 6, p. 1471-1485, https://doi.org/10.1007/s10592-018-1115-2.","productDescription":"15 p.","startPage":"1471","endPage":"1485","ipdsId":"IP-089058","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437301,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GM86GZ","text":"USGS data release","linkHelpText":"Sample collection information, single nucleotide polymorphism, and microsatellite data for white-tailed ptarmigan across the species range generated in the Molecular Ecology Lab during 2016"},{"id":370135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.92578125,\n              45.1510532655634\n            ],\n            [\n              -124.45312499999999,\n              44.59046718130883\n            ],\n            [\n              -118.564453125,\n              42.74701217318067\n            ],\n            [\n              -115.400390625,\n              42.8115217450979\n            ],\n            [\n    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0000-0002-1799-1942 klangin@usgs.gov","orcid":"https://orcid.org/0000-0002-1799-1942","contributorId":221128,"corporation":false,"usgs":true,"family":"Langin","given":"Kathryn","email":"klangin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":777070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":777072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Kathy M","contributorId":221129,"corporation":false,"usgs":false,"family":"Martin","given":"Kathy","email":"","middleInitial":"M","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":777073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wann, Greg T","contributorId":221130,"corporation":false,"usgs":false,"family":"Wann","given":"Greg T","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":777074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seglund, Amy E.","contributorId":218686,"corporation":false,"usgs":false,"family":"Seglund","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":777075,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schroeder, Michael A","contributorId":221131,"corporation":false,"usgs":false,"family":"Schroeder","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":777076,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Benson, David P","contributorId":221132,"corporation":false,"usgs":false,"family":"Benson","given":"David","email":"","middleInitial":"P","affiliations":[{"id":40330,"text":"Marian University","active":true,"usgs":false}],"preferred":false,"id":777077,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fedy, Brad C.","contributorId":140877,"corporation":false,"usgs":false,"family":"Fedy","given":"Brad","email":"","middleInitial":"C.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":777078,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Young, Jessica R.","contributorId":200014,"corporation":false,"usgs":false,"family":"Young","given":"Jessica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":777079,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Scott D.","contributorId":181519,"corporation":false,"usgs":false,"family":"Wilson","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":777080,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wolfe, Don H","contributorId":221133,"corporation":false,"usgs":false,"family":"Wolfe","given":"Don H","affiliations":[{"id":40331,"text":"G. M. Sutton Avian Research Center","active":true,"usgs":false}],"preferred":false,"id":777081,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Braun, Clait E.","contributorId":200013,"corporation":false,"usgs":false,"family":"Braun","given":"Clait","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":777082,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777068,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70227813,"text":"70227813 - 2019 - Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics","interactions":[],"lastModifiedDate":"2022-02-01T20:24:48.776105","indexId":"70227813","displayToPublicDate":"2019-10-16T15:24:21","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":"Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics","docAbstract":"<p>Population genetics-based approaches can provide robust and cost-effective ways to assess the effects of potential barriers, including dams and road-stream crossings, on the passage and population connectivity of aquatic organisms. Determining the best way to apply and modify genetic tools for different species and situations is essential for making these genetics-based approaches broadly applicable to fisheries and aquatic habitat management. Here, we used multiple genetic approaches to assess the movement and population structure of Slimy Sculpin Cottus cognatus at two road-stream crossings in Michigan and one dam in Massachusetts, USA. We captured and genotyped individual sculpin and assessed movement and population connectivity by using (1) a sibship-based approach, where the presence and proportional distribution of siblings on either side of a barrier indicates population connectivity and the possible direction of movement (i.e., presumed movement from higher to lower proportions), and (2) two Bayesian genetic assignment approaches (STRUCTURE and BayesAss) to identify migrants across potential barriers based on individual population assignment probabilities. We also used traditional genetic metrics to assess within-population genetic variation and among-population genetic divergence. At all three locations, we found evidence for sculpin movement across the potential barrier based on sibship reconstruction, but small family sizes limited the ability of this approach to provide robust estimates of the rate and direction of movement. At two sites, a lack of genetic differentiation between above- and below-barrier populations limited the effectiveness of the genetic assignment methods for identifying possible migrants. At the third site, reduced upstream allelic diversity and effective number of breeders resulted in high genetic differentiation (FST) between above- and below-barrier populations, and both sibship and genetic assignment methods provided strong evidence of limited connectivity and bias against upstream movement. Overall, combining approaches and metrics may help overcome the limitations of any one method and maximize the value of datasets for genetics-based monitoring and assessment.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10202","usgsCitation":"Weinstein, S.Y., Coombs, J.A., Nislow, K., Riley, C., Roy, A.H., and Whiteley, A., 2019, Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics: Transactions of the American Fisheries Society, v. 148, no. 6, p. 1117-1131, https://doi.org/10.1002/tafs.10202.","productDescription":"15 p.","startPage":"1117","endPage":"1131","ipdsId":"IP-098904","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459494,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10202","text":"Publisher Index Page"},{"id":395240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, Michigan","otherGeospatial":"Arquilla Creek, Fall River, Peterson Creek","volume":"148","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Weinstein, Spencer Y.","contributorId":272869,"corporation":false,"usgs":false,"family":"Weinstein","given":"Spencer","email":"","middleInitial":"Y.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coombs, Jason A.","contributorId":270745,"corporation":false,"usgs":false,"family":"Coombs","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, Keith H.","contributorId":60106,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith H.","affiliations":[],"preferred":false,"id":832354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riley, Chris","contributorId":272875,"corporation":false,"usgs":false,"family":"Riley","given":"Chris","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":832355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whiteley, Andrew R.","contributorId":272876,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew R.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":832356,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206593,"text":"70206593 - 2019 - Projected urban growth in the Southeastern USA puts small streams at risk","interactions":[],"lastModifiedDate":"2019-11-12T09:46:13","indexId":"70206593","displayToPublicDate":"2019-10-16T09:42:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Projected urban growth in the Southeastern USA puts small streams at risk","docAbstract":"Future land-use development has the potential to profoundly affect the health of aquatic ecosystems in the coming decades.  We developed regression models predicting the loss of sensitive fish (R2=0.39) and macroinvertebrate (R2=0.64) taxa as a function of urban and agricultural land uses and applied them to projected urbanization of the rapidly urbanizing Piedmont ecoregion of the southeastern USA for 2030 and 2060.  The regression models are based on a 2014 investigation of water quality and ecology of 75 wadeable streams across the region.  Based on these projections, stream kilometers experiencing >50% loss of sensitive fish and invertebrate taxa will nearly quadruple to 19,500 and 38,950 km by 2060 (16 and 32% of small stream kilometers in the region), respectively. Uncertainty was assessed using the 20 and 80% probability of urbanization for the land-use projection model and using the 95% confidence intervals for the regression models. Adverse effects on stream health were linked to elevated concentrations of contaminants and nutrients, low dissolved oxygen, and streamflow alteration, all associated with urbanization. The results of this analysis provide a warning of potential risks from future urbanization and perhaps some guidance on how those risks might be mitigated.","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0222714","usgsCitation":"Van Metre, P.C., Waite, I.R., Qi, S.L., Mahler, B., Terando, A., Wieczorek, M., Meador, M.R., Bradley, P., Journey, C.A., Schmidt, T., and Carlisle, D.M., 2019, Projected urban growth in the Southeastern USA puts small streams at risk: PLoS ONE, v. 10, no. 14, e0222714, 17 p., https://doi.org/10.1371/journal.pone.0222714.","productDescription":"e0222714, 17 p.","ipdsId":"IP-101834","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0222714","text":"Publisher Index Page"},{"id":369125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.1240234375,\n              39.13006024213511\n            ],\n            [\n              -86.28662109375,\n              33.65120829920497\n            ],\n            [\n              -85.4296875,\n              32.91648534731439\n            ],\n            [\n              -78.15673828125,\n              35.746512259918504\n            ],\n            [\n              -76.9482421875,\n              38.35888785866677\n            ],\n            [\n              -76.83837890625,\n              38.95940879245423\n            ],\n            [\n              -77.1240234375,\n              39.13006024213511\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"14","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":775071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - 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Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775080,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":775081,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70205989,"text":"70205989 - 2019 - Plant and insect herbivore community variation across the Paleocene–Eocene boundary in the Hanna Basin, southeastern Wyoming","interactions":[],"lastModifiedDate":"2020-01-21T06:33:12","indexId":"70205989","displayToPublicDate":"2019-10-15T10:55:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Plant and insect herbivore community variation across the Paleocene–Eocene boundary in the Hanna Basin, southeastern Wyoming","docAbstract":"Ecosystem function and stability are highly affected by internal and external stressors. Utilizing paleobotanical data gives insight into the evolutionary processes an ecosystem undergoes across long periods of time, allowing for a more complete understanding of how plant and insect herbivore communities are affected by ecosystem imbalance. To study how plant and insect herbivore communities change during times of disturbance, we quantified community turnover across the Paleocene­–Eocene boundary in the Hanna Basin, southeastern Wyoming. This particular location is unlike other nearby Laramide basins because it has an abundance of late Paleocene and Eocene coal and carbonaceous shales and paucity of well-developed paleosols, suggesting perpetually high water availability. We sampled approximately 800 semi-intact dicot leaves from five stratigraphic levels, one of which occurs late in the Paleocene–Eocene thermal maximum (PETM). Field collections were supplemented with specimens at the Denver Museum of Nature & Science. Fossil leaves were classified into morphospecies and herbivore damage was documented for each leaf. We tested for changes in plant and insect herbivore damage diversity using rarefaction and community composition using non-metric multidimensional scaling ordinations. We also documented changes in depositional environment at each stratigraphic level to better contextualize the environment of the basin. Plant diversity was highest during the mid-late Paleocene and decreased into the Eocene, whereas damage diversity was highest at the sites with low plant diversity. Plant communities significantly changed during the late PETM and do not return to pre-PETM composition. Insect herbivore communities also changed during the PETM, but, unlike plant communities, rebound to their pre-PETM structure. These results suggest that insect herbivore communities responded more strongly to plant community composition than to the diversity of species present.","language":"English","publisher":"PeerJ, Inc","doi":"10.7717/peerj.7798","usgsCitation":"Schmidt, L.E., Dunn, R.E., Mercer, J.J., Dechesne, M., and Currano, E.D., 2019, Plant and insect herbivore community variation across the Paleocene–Eocene boundary in the Hanna Basin, southeastern Wyoming: PeerJ, no. 7, e7798, 27 p., https://doi.org/10.7717/peerj.7798.","productDescription":"e7798, 27 p.","ipdsId":"IP-105607","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":459519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.7798","text":"Publisher Index Page"},{"id":368336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Carbon","otherGeospatial":"Hanna Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.35589599609375,\n              41.000629848685385\n            ],\n            [\n              -105.7269287109375,\n              41.000629848685385\n            ],\n            [\n              -105.7269287109375,\n              41.34176252711261\n            ],\n            [\n              -106.35589599609375,\n              41.34176252711261\n            ],\n            [\n              -106.35589599609375,\n              41.000629848685385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Lauren E","contributorId":219800,"corporation":false,"usgs":false,"family":"Schmidt","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":34987,"text":"University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":773217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunn, Regan E","contributorId":219801,"corporation":false,"usgs":false,"family":"Dunn","given":"Regan","email":"","middleInitial":"E","affiliations":[{"id":40073,"text":"The Field Museum, Chicago","active":true,"usgs":false}],"preferred":false,"id":773218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercer, Jason J","contributorId":219802,"corporation":false,"usgs":false,"family":"Mercer","given":"Jason","email":"","middleInitial":"J","affiliations":[{"id":34987,"text":"University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":773219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dechesne, Marieke 0000-0002-4468-7495","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":213936,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Currano, Ellen D","contributorId":219803,"corporation":false,"usgs":false,"family":"Currano","given":"Ellen","email":"","middleInitial":"D","affiliations":[{"id":34987,"text":"University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":773221,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215273,"text":"70215273 - 2019 - River water-quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model","interactions":[],"lastModifiedDate":"2020-10-15T13:33:08.421308","indexId":"70215273","displayToPublicDate":"2019-10-14T14:25:04","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":"River water-quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model","docAbstract":"<p><span>Accurate quantification of riverine water‐quality concentration and flux is challenging because monitoring programs typically collect concentration data at lower frequencies than discharge data. Statistical methods are often used to estimate concentration and flux on days without observations. One recently developed approach is the Weighted Regressions on Time, Discharge, and Season (WRTDS), which has been shown to provide among the most accurate estimates compared to other common methods. The main objective of this work was to improve WRTDS estimation by accounting for the autocorrelation structure of model residuals using the first‐order autoregressive model (AR1). This modified approach, called WRTDS‐Kalman Filter (WRTDS‐K), was compared with WRTDS for six constituents including nitrate‐plus‐nitrite (NO</span><sub>x</sub><span>), total phosphorus, total Kjeldahl nitrogen, soluble reactive phosphorus, suspended sediment, and chloride. Near‐daily concentration records at nine sites were used to generate subsets through Monte Carlo sampling for five different sampling scenarios. Results show that WRTDS‐K provided generally better daily estimates of concentration and flux than WRTDS under these sampling scenarios for all constituents, especially NO</span><sub>x</sub><span>. The degree of improvement is strongly affected by the underlying sampling scenario, with WRTDS‐K gaining more advantage when more samples are available, and hence more residuals can be exploited. The performance of WRTDS‐K depends on the AR1 coefficient (ρ) and that relationship varies with constituents and sampling scenarios. These results provided recommendations on the optimal ρ for each constituent and sampling scenario. Overall, WRTDS‐K has the potential for broad applications to monitoring records elsewhere, as demonstrated by a pilot application to Chesapeake Bay tributaries.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019wr025338","usgsCitation":"Zhang, Q., and Hirsch, R.M., 2019, River water-quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model: Water Resources Research, v. 55, no. 11, p. 9705-9723, https://doi.org/10.1029/2019wr025338.","productDescription":"19 p.","startPage":"9705","endPage":"9723","ipdsId":"IP-110106","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":488944,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr025338","text":"Publisher Index Page"},{"id":379382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie and Ohio River tributaries","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.7705078125,\n              40.58058466412761\n            ],\n            [\n              -84.48486328124999,\n              40.01078714046552\n            ],\n            [\n              -83.9794921875,\n              39.53793974517628\n            ],\n            [\n              -83.3642578125,\n              39.90973623453719\n            ],\n            [\n              -82.72705078125,\n              39.2832938689385\n            ],\n            [\n              -82.37548828125,\n              41.04621681452063\n            ],\n            [\n              -83.408203125,\n              40.896905775860006\n            ],\n            [\n              -83.84765625,\n              41.178653972331674\n            ],\n            [\n              -83.7158203125,\n              41.82045509614034\n            ],\n            [\n              -84.3310546875,\n              41.918628865183045\n            ],\n            [\n              -84.6826171875,\n              41.393294288784865\n            ],\n            [\n              -85.1220703125,\n              41.16211393939692\n            ],\n            [\n              -85.0341796875,\n              40.54720023441049\n            ],\n            [\n              -84.7705078125,\n              40.58058466412761\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.9912109375,\n              41.72213058512578\n            ],\n            [\n              -81.36474609375,\n              41.343824581185686\n            ],\n            [\n              -81.82617187499999,\n              41.19518982948959\n            ],\n            [\n              -81.5185546875,\n              40.93011520598305\n            ],\n            [\n              -80.96923828125,\n              41.04621681452063\n            ],\n            [\n              -80.6396484375,\n              41.45919537950706\n            ],\n            [\n              -80.6396484375,\n              41.78769700539063\n            ],\n            [\n              -80.9912109375,\n              41.72213058512578\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":801435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":801436,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227119,"text":"70227119 - 2019 - Do parents synchronise nest visits as an antipredator adaptation in birds of New Zealand and Tasmania?","interactions":[],"lastModifiedDate":"2022-01-03T16:25:25.729256","indexId":"70227119","displayToPublicDate":"2019-10-11T09:38:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5993,"text":"Frontiers in Ecology and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Do parents synchronise nest visits as an antipredator adaptation in birds of New Zealand and Tasmania?","docAbstract":"<p><span>Birds with altricial offspring need to feed them regularly, but each feeding visit risks drawing attention to the nest and revealing its location to potential predators. Synchronisation of visits by both parents has been suggested as a behavioural adaptation to reduce the risk of nest predation. Under this hypothesis, higher risk of nest predation favours greater synchrony of parental feeding visits. We investigated this prediction over three timescales using nestling provisioning data from 25 passerine species in Tasmania and New Zealand. We estimated the extent to which parents actively synchronised their visits to the nest by comparing observed patterns of synchrony with those expected to occur at random. We found that in general, species did not synchronise visits more often than expected by chance. Species varied in the tendency to synchronise visits, but this variation was not explained by likely predation pressure in the distant evolutionary past: New Zealand endemic species, which evolved in the absence of mammalian nest predators, synchronised their visits as often as species which evolved with more diverse predatory guilds. Nest predation risk has increased over time in New Zealand due to introduced predators, but synchrony in visits also was not explained by manipulated predation risk: visit synchrony was equivalent between a predator-removal site and a site where predators remained. However, within one New Zealand species, visit synchrony was higher for mainland populations, which have been exposed to predatory mammals for&nbsp;</span><i>c</i><span>.800 years, than for a population on an offshore island to which predatory mammals were never introduced. We conclude that breeding birds may have some capacity to adapt the synchrony with which they provision over short evolutionary timescales. However, the lack of synchrony in most species suggests that either asynchrony provides benefits that outweigh the greater risk of predation, or synchrony incurs costs not compensated by reduced predation.</span></p>","language":"English","publisher":"Frontiers Research Foundation","doi":"10.3389/fevo.2019.00389","usgsCitation":"Khwaja, N., Massaro, M., Martin, T.E., and Briskie, J.V., 2019, Do parents synchronise nest visits as an antipredator adaptation in birds of New Zealand and Tasmania?: Frontiers in Ecology and Environment, v. 7, 389, 11 p., https://doi.org/10.3389/fevo.2019.00389.","productDescription":"389, 11 p.","ipdsId":"IP-107192","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459556,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00389","text":"Publisher Index Page"},{"id":393649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, New Zealand","state":"Tasmania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              144.31640625,\n              -44.087585028245165\n            ],\n            [\n              148.798828125,\n              -44.087585028245165\n            ],\n            [\n              148.798828125,\n              -40.51379915504413\n            ],\n            [\n              144.31640625,\n              -40.51379915504413\n            ],\n            [\n              144.31640625,\n              -44.087585028245165\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              169.716796875,\n              -47.338822694822\n            ],\n            [\n              176.923828125,\n              -40.44694705960048\n            ],\n            [\n              178.9453125,\n              -37.43997405227057\n            ],\n            [\n              176.8359375,\n              -36.87962060502676\n            ],\n            [\n              172.35351562499997,\n              -33.9433599465788\n            ],\n            [\n              173.759765625,\n              -37.5097258429375\n            ],\n            [\n              173.14453125,\n              -39.43619299931407\n            ],\n            [\n              174.19921875,\n              -40.44694705960048\n            ],\n            [\n              171.03515625,\n              -40.044437584608566\n            ],\n            [\n              165.322265625,\n              -46.07323062540835\n            ],\n            [\n              167.6953125,\n              -47.93106634750977\n            ],\n            [\n              169.716796875,\n              -47.338822694822\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2019-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Khwaja, Nyil","contributorId":270665,"corporation":false,"usgs":false,"family":"Khwaja","given":"Nyil","email":"","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":829714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massaro, Melanie","contributorId":270666,"corporation":false,"usgs":false,"family":"Massaro","given":"Melanie","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":829715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briskie, James V.","contributorId":270667,"corporation":false,"usgs":false,"family":"Briskie","given":"James","email":"","middleInitial":"V.","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":829716,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205926,"text":"70205926 - 2019 - Drought in the U.S. Caribbean: Impacts to freshwater ecosystems","interactions":[],"lastModifiedDate":"2020-12-09T13:06:15.088591","indexId":"70205926","displayToPublicDate":"2019-10-11T06:53:54","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Drought in the U.S. Caribbean: Impacts to freshwater ecosystems","docAbstract":"<p>Healthy and functioning freshwater ecosystems are needed for successful conservation and management of native fish and invertebrate species, and the services they provide to human communities, across the U.S. Caribbean. Yet streams, rivers, and reservoirs are vulnerable to the effects of extreme weather events, urbanization, energy and water development, and other environmental and human-caused disturbances (Neal et al., 2009). One major management concern is the impact of prolonged drought on freshwater ecosystems. Drought impacts streamflow, dissolved oxygen content, water quality, stream connectivity, available habitat, and other important freshwater habitat characteristics necessary for sustaining fish and invertebrate populations (Covich et al., 2006). These changes can impact species interactions, abundance, life history events, and the presence of native and non-native species (Larsen, 2000;<span>&nbsp;</span>Covich et al., 2006;<span>&nbsp;</span>Ramírez et al., 2018).</p><p>Drought impacts aquatic ecosystems and species both in the short-term and long-term, depending on the severity and duration of the event (e.g.<span>&nbsp;</span><a rel=\"noopener\" href=\"http://www.journals.uchicago.edu/doi/full/10.1899/0887-3593%282006%2925%5B99%3AEODAHD%5D2.0.CO%3B2\" target=\"_blank\" data-mce-href=\"http://www.journals.uchicago.edu/doi/full/10.1899/0887-3593%282006%2925%5B99%3AEODAHD%5D2.0.CO%3B2\">Covich et al., 2006</a>). In Puerto Rico, all native freshwater fish, shrimp, and snail species spend part of their lives in estuarine and marine ecosystems and depend on being able to move between these habitats to survive, so maintaining connectivity is key (e.g.,<span>&nbsp;</span><a rel=\"noopener\" href=\"http://www.journals.uchicago.edu/doi/abs/10.1086/694176\" target=\"_blank\" data-mce-href=\"http://www.journals.uchicago.edu/doi/abs/10.1086/694176\">Engman et al., 2017</a>). Freshwater ecosystems also provide recreational, cultural, and ecological value to humans (<a rel=\"noopener\" href=\"http://drna.pr.gov/wp-content/uploads/2015/04/Fishery-Population-and-Habitat-Assessment-in-Puerto-Rico-Streams.pdf\" target=\"_blank\" data-mce-href=\"http://drna.pr.gov/wp-content/uploads/2015/04/Fishery-Population-and-Habitat-Assessment-in-Puerto-Rico-Streams.pdf\">Kwak et al., 2007</a>;<span>&nbsp;</span><a rel=\"noopener\" href=\"http://afspubs.onlinelibrary.wiley.com/doi/abs/10.1577/1548-8446-34.11.546\" target=\"_blank\" data-mce-href=\"http://afspubs.onlinelibrary.wiley.com/doi/abs/10.1577/1548-8446-34.11.546\">Neal et al., 2009</a>). For example, some communities in Puerto Rico engage in artisanal shrimp and freshwater crab fishing (<a rel=\"noopener\" href=\"http://afspubs.onlinelibrary.wiley.com/doi/abs/10.1577/1548-8446-34.11.546\" target=\"_blank\" data-mce-href=\"http://afspubs.onlinelibrary.wiley.com/doi/abs/10.1577/1548-8446-34.11.546\">Neal et al., 2009</a>). Artisanal fishing for postlarvae gobioids, known colloquially as “cetí” also occurs at the river mouths of large drainages and has strong cultural significance in parts of Puerto Rico, such as Arecibo (Kwak et al., 2016).</p><p>The U.S. Virgin Islands (USVI) is particularly sensitive to drought, because almost all streams are ephemeral and typically only flow after rainfall. These intermittent channels, known locally as “ghuts”, run down the surface of steep slopes, rather than through the ground, and are important sources of freshwater. Natural springs are often located in ghuts and can form pools of freshwater that serve as habitat for wetland and migratory birds, freshwater shrimp and fish, and amphibians (<a rel=\"noopener\" href=\"http://www.uvi.edu/files/documents/Research_and_Public_Service/WRRI/diversity_freshwater.pdf\" target=\"_blank\" data-mce-href=\"http://www.uvi.edu/files/documents/Research_and_Public_Service/WRRI/diversity_freshwater.pdf\">Nemeth and Platenburg, 2007</a>;<span>&nbsp;</span><a rel=\"noopener\" href=\"http://www.uvi.edu/files/documents/Research_and_Public_Service/WRRI/strategy_management.pdf\" target=\"_blank\" data-mce-href=\"http://www.uvi.edu/files/documents/Research_and_Public_Service/WRRI/strategy_management.pdf\">Gardner, 2008</a>).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"U.S. Caribbean drought workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"U.S. Caribbean Drought Workshop","conferenceDate":"May 30-31, 2018","conferenceLocation":"Rio Piedras, PR","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Myers, B., 2019, Drought in the U.S. Caribbean: Impacts to freshwater ecosystems, <i>in</i> U.S. Caribbean drought workshop, Rio Piedras, PR, May 30-31, 2018, 2 p.","productDescription":"2 p.","ipdsId":"IP-110663","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"links":[{"id":368254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368227,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/ecosystems/climate-adaptation-science-centers/drought-impacts-freshwater-ecosystems-us-caribbean"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.43408203124999,\n              17.748686651728807\n            ],\n            [\n              -65.2587890625,\n              17.748686651728807\n            ],\n            [\n              -65.2587890625,\n              18.60460138845525\n            ],\n            [\n              -67.43408203124999,\n              18.60460138845525\n            ],\n            [\n              -67.43408203124999,\n              17.748686651728807\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.9456787109375,\n              17.651873989224537\n            ],\n            [\n              -64.51995849609375,\n              17.651873989224537\n            ],\n            [\n              -64.51995849609375,\n              17.79707337422801\n            ],\n            [\n              -64.9456787109375,\n              17.79707337422801\n            ],\n            [\n              -64.9456787109375,\n              17.651873989224537\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.65042114257812,\n              18.35061520525845\n            ],\n            [\n              -64.7211456298828,\n              18.376682358161855\n            ],\n            [\n              -64.77195739746094,\n              18.383850134829828\n            ],\n            [\n              -64.93091583251953,\n              18.429130557589243\n            ],\n            [\n              -65.115966796875,\n              18.404700154006118\n            ],\n            [\n              -65.07923126220703,\n              18.310203344724197\n            ],\n            [\n              -64.88147735595703,\n              18.26326160374951\n            ],\n            [\n              -64.68852996826172,\n              18.26195748515144\n            ],\n            [\n              -64.65042114257812,\n              18.35061520525845\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Bonnie 0000-0002-3170-2633","orcid":"https://orcid.org/0000-0002-3170-2633","contributorId":219702,"corporation":false,"usgs":true,"family":"Myers","given":"Bonnie","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":772919,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70205665,"text":"70205665 - 2019 - Modeling sediment bypassing around idealized rocky headlands","interactions":[],"lastModifiedDate":"2019-10-02T11:19:58","indexId":"70205665","displayToPublicDate":"2019-10-02T11:19:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Modeling sediment bypassing around idealized rocky headlands","docAbstract":"<p><span>Alongshore sediment bypassing rocky headlands remains understudied despite the importance of characterizing littoral processes for erosion abatement, beach management, and climate change adaptation. To address this gap, a numerical model sediment transport study was developed to identify controlling factors and mechanisms for sediment headland bypassing potential. Four idealized headlands were designed to investigate sediment flux around the headlands using the process-based hydrodynamic model Delft-3D and spectral wave model SWAN. The 120 simulations explored morphologies, substrate compositions, sediment grain sizes, and physical forcings (i.e., tides, currents, and waves) commonly observed in natural settings. A generalized analytical framework based on flow disruption and sediment volume was used to refine which factors and conditions were more useful to address sediment bypassing. A bypassing parameter was developed for alongshore sediment flux between upstream and downstream cross-shore transects to determine the degree of blockage by a headland. The shape of the headland heavily influenced the fate of the sediment by changing the local angle between the shore and the incident waves, with oblique large waves generating the most flux. All headlands may allow sediment flux, although larger ones blocked sediment more effectively, promoting their ability to be littoral cell boundaries. The controlling factors on sediment bypassing were determined to be wave angle, size, and shape of the headland, and sediment grain size.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/jmse7020040","usgsCitation":"Douglas A. George, John L. Largier, Pasternack, G.B., Barnard, P., Storlazzi, C.D., and Erikson, L.H., 2019, Modeling sediment bypassing around idealized rocky headlands: Journal of Marine Science and Engineering, v. 7, no. 2, 40; 37 p., https://doi.org/10.3390/jmse7020040.","productDescription":"40; 37 p.","ipdsId":"IP-111887","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse7020040","text":"Publisher Index Page"},{"id":367918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas A. George","contributorId":219341,"corporation":false,"usgs":false,"family":"Douglas A. George","affiliations":[{"id":39994,"text":"Bodega Marine Laboratory, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":772020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John L. Largier","contributorId":219342,"corporation":false,"usgs":false,"family":"John L. Largier","affiliations":[{"id":39994,"text":"Bodega Marine Laboratory, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":772021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pasternack, Greg B.","contributorId":219343,"corporation":false,"usgs":false,"family":"Pasternack","given":"Greg","email":"","middleInitial":"B.","affiliations":[{"id":39995,"text":"Department of Hydrologic Sciences, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":772022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":772019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":772023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":772024,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205666,"text":"70205666 - 2019 - Regionalization of groundwater residence time using metamodeling","interactions":[],"lastModifiedDate":"2019-10-02T11:09:04","indexId":"70205666","displayToPublicDate":"2019-10-02T11:00:19","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":"Regionalization of groundwater residence time using metamodeling","docAbstract":"Groundwater residence-time distributions (RTDs) are critical for assessing susceptibility of water resources to degradation. A novel combination of numerical modeling and statistical methods allows estimation of regional RTDs with unprecedented speed.  In this method, particle RTDs are generated in 30 type locales in the northeastern glaciated U.S using automated generalized finite-difference groundwater flow and advective transport models. Targets for statistical learning were created from particle RTDs by fitting Weibull, gamma, and inverse Gaussian distributions. Whole-basin flux-weighted RTDs were well fit by one-component Weibull distributions. Flux-weighted RTDs at stressed receptors such as wells often produced more complicated RTDs that required a two-component mixture to fit. A Multitask Lasso regression was trained on the parametric RTDs using hydrogeographic features of the modeled areas as explanatory features. In this way, RTDs are regionalized using mappable physical features such as recharge and aquifer volume. The shape, location, and scale parameters of the parametric RTDs are strongly related to the mean exponential age. The shape parameter of the distribution, which controls deviation from exponential, is additionally a function of aquifer heterogeneity and hydrologic features. Regionalized RTDs provide useful metrics with respect to groundwater lag times and solute loading to streams. The lag time between input and output contained in the RTD is critical to understanding the relation between the land surface and human and ecological receptors.","language":"English","publisher":"Wiley","doi":"10.1029/2017WR021531","usgsCitation":"Starn, J., and Belitz, K., 2019, Regionalization of groundwater residence time using metamodeling: Water Resources Research, v. 54, no. 9, p. 6357-6373, https://doi.org/10.1029/2017WR021531.","productDescription":"17 p.","startPage":"6357","endPage":"6373","ipdsId":"IP-086784","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017wr021531","text":"Publisher Index Page"},{"id":367916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Starn, J. Jeffrey 0000-0001-5909-0010 jjstarn@usgs.gov","orcid":"https://orcid.org/0000-0001-5909-0010","contributorId":1916,"corporation":false,"usgs":true,"family":"Starn","given":"J. Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":772025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":772026,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209090,"text":"70209090 - 2019 - Spatial fingerprinting of biogenic and anthropogenic volatile organic compounds in an arid unsaturated zone","interactions":[],"lastModifiedDate":"2020-03-16T06:20:18","indexId":"70209090","displayToPublicDate":"2019-10-01T13:42:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Spatial fingerprinting of biogenic and anthropogenic volatile organic compounds in an arid unsaturated zone","docAbstract":"Subsurface volatile organic compounds (VOCs) can pose risks to human and environmental health and mediate biological processes. VOCs have both anthropogenic and biogenic origins, but the relative importance of these sources has not been explored in subsurface environments. This study synthesizes 17 years of VOC data from the Amargosa Desert Research Site (ADRS) with the goal of improving understanding of spatial and temporal variations that distinguish sources of VOCs from a landfill and surrounding ambient sources including biogenic VOCs (bVOCs). Gas samples were collected from 1999 to 2016 from an array of shallow sample points (0.5 m and 1.5 m depth) and from vertical profiles at three deep boreholes, two (109 m deep) near the border of a waste facility (33 and 100 m distant), and one (29 m deep) in a remote area 3 km to the south. Samples were analyzed for target VOCs and a subset was analyzed for non-target VOCs to enumerate a greater variety of potential bVOCs. Principal components analysis of the target and non-target VOCs provided an assessment of spatial variability of VOCs originating from the landfill site and from ambient sources. Ambient VOCs occurred at all sample sites over a range of depths and most were consistent with biogenic origins, indicating, for the first time, presence of bVOCs in the deep unsaturated zone. Because some VOCs have both anthropogenic and biogenic sources, discrimination of sources can be important for estimating the extent and migration of anthropogenic plumes in arid unsaturated zones.","language":"English","publisher":"Wiley","doi":"10.2136/vzj2019.05.0047","usgsCitation":"Green, C., Luo, W., Conaway, C., Haase, K., Baker, R., and Andraski, B.J., 2019, Spatial fingerprinting of biogenic and anthropogenic volatile organic compounds in an arid unsaturated zone: Vadose Zone Journal, v. 18, no. 1, 190047, https://doi.org/10.2136/vzj2019.05.0047.","productDescription":"190047","ipdsId":"IP-106246","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":459654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2019.05.0047","text":"Publisher Index Page"},{"id":373272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","county":"Nye County","otherGeospatial":"Amargosa Desert Research Site","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-115.9082,39.1615],[-115.5191,38.9578],[-115.4725,38.9325],[-115.4433,38.9162],[-115.3694,38.8769],[-115.363,38.874],[-115.242,38.8093],[-115.0969,38.7309],[-115.0777,38.721],[-115.0604,38.7107],[-115.0291,38.6937],[-114.999,38.6777],[-114.9996,38.592],[-114.9997,38.4315],[-114.9994,38.3894],[-115.0004,38.0507],[-115.1185,38.0508],[-115.1436,38.0508],[-115.326,38.0515],[-115.3453,38.0514],[-115.4003,38.051],[-115.4587,38.0506],[-115.6394,38.0512],[-115.6581,38.051],[-115.8404,38.0504],[-115.8931,38.0507],[-115.8938,37.723],[-115.8969,37.5498],[-115.8975,37.2796],[-115.8982,37.1926],[-115.8942,36.8425],[-115.8941,36.686],[-115.8945,36.6702],[-115.8949,36.598],[-115.8949,36.5962],[-115.8946,36.5858],[-115.8947,36.5005],[-115.8945,36.4806],[-115.8949,36.462],[-115.8944,36.457],[-115.8948,36.3087],[-115.8945,36.2923],[-115.8943,36.1957],[-115.8945,36.1608],[-115.8948,36.1163],[-115.8948,36.0927],[-115.895,36.0015],[-115.9178,36.0192],[-115.9518,36.0457],[-115.9925,36.0773],[-116.049,36.1211],[-116.0624,36.1314],[-116.1039,36.1636],[-116.1287,36.1829],[-116.1702,36.2152],[-116.173,36.2174],[-116.2311,36.2626],[-116.2834,36.3028],[-116.2954,36.3122],[-116.3752,36.373],[-116.5107,36.4764],[-116.5247,36.4871],[-116.5589,36.5131],[-116.574,36.5245],[-116.5946,36.54],[-116.6556,36.5867],[-116.6583,36.5888],[-116.6764,36.6024],[-116.706,36.6248],[-116.7895,36.6877],[-116.8424,36.7276],[-116.8453,36.7298],[-116.8806,36.7568],[-116.8912,36.7648],[-116.9237,36.7891],[-116.9641,36.8193],[-116.9783,36.8299],[-116.981,36.8319],[-117.0046,36.8495],[-117.164,36.9688],[-117.1639,36.9698],[-117.1637,37.0182],[-117.164,37.0894],[-117.1642,37.171],[-117.1641,37.1909],[-117.1641,37.1936],[-117.1665,37.6995],[-117.1664,37.714],[-117.1663,37.7285],[-117.1663,37.7435],[-117.1662,37.7585],[-117.1657,38.0019],[-117.2198,38.0482],[-117.2397,38.0483],[-117.239,38.0641],[-117.2408,38.0705],[-117.2653,38.0932],[-117.6896,38.4731],[-118.0197,38.7599],[-118.197,38.9154],[-118.1972,38.9993],[-117.8559,39.0746],[-117.7748,39.092],[-117.7008,39.1058],[-117.6409,39.1149],[-117.5946,39.1231],[-117.4742,39.1431],[-117.3823,39.1562],[-117.3609,39.1585],[-117.3318,39.1629],[-117.3063,39.1634],[-117.2849,39.1633],[-117.1995,39.1632],[-117.0856,39.1628],[-117.0322,39.1626],[-117.0144,39.1626],[-116.9871,39.1625],[-116.9158,39.1631],[-116.7562,39.1622],[-116.7301,39.1625],[-116.5996,39.1616],[-116.5859,39.162],[-116.4815,39.1616],[-116.3497,39.1618],[-116.2358,39.1616],[-116.0548,39.1624],[-115.9082,39.1615]]]},\"properties\":{\"name\":\"Nye\",\"state\":\"NV\"}}]}","volume":"18","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":438,"text":"National Research Program - 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