{"pageNumber":"78","pageRowStart":"1925","pageSize":"25","recordCount":10450,"records":[{"id":70206397,"text":"70206397 - 2019 - The nucleoprotein and phosphoprotein are major determinants of the virulence of viral hemorrhagic septicemia virus in rainbow trout","interactions":[],"lastModifiedDate":"2019-11-04T10:47:55","indexId":"70206397","displayToPublicDate":"2019-08-28T06:55:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2497,"text":"Journal of Virology","active":true,"publicationSubtype":{"id":10}},"title":"The nucleoprotein and phosphoprotein are major determinants of the virulence of viral hemorrhagic septicemia virus in rainbow trout","docAbstract":"<p>Viral hemorrhagic septicemia virus (VHSV), a fish rhabdovirus, infects several marine and freshwater fish species. There are many strains of VHSV that affect different fish, but some strains of one genetic subgroup have gained high virulence in rainbow trout (<i>Oncorhynchus mykiss</i>). To define the genetic basis of high virulence in trout, we used reverse genetics to create chimeric VHSVs in which viral nucleoprotein (N), P (phosphoprotein), or M (matrix protein) genes, or the N and P genes, were exchanged between a trout-virulent European VHSV strain (DK-3592B) and a trout-avirulent North American VHSV strain (MI03). Testing of the chimeric recombinant VHSV (rVHSV) by intraperitoneal injection in juvenile rainbow trout showed that exchanges of the viral P or M genes had no effect on the trout virulence phenotype of either parental strain. However, reciprocal exchanges of the viral N gene resulted in a partial gain of function in the chimeric trout-avirulent strain (22% mortality) and complete loss of virulence for the chimeric trout-virulent strain (2% mortality). Reciprocal exchanges of both the N and P genes together resulted in complete gain of function in the chimeric avirulent strain (82% mortality), again with complete loss of virulence in the chimeric trout-virulent strain (0% mortality). Thus, the VHSV N gene contains an essential determinant of trout virulence that is strongly enhanced by the viral P gene. We hypothesize that the host-specific virulence mechanism may involve increased efficiency of the viral polymerase complex when the N and P proteins have adapted to more efficient interaction with a host component from rainbow trout.</p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JVI.00382-19","usgsCitation":"Vakharia, V.N., Liu, J., Mckenney, D., and Kurath, G., 2019, The nucleoprotein and phosphoprotein are major determinants of the virulence of viral hemorrhagic septicemia virus in rainbow trout: Journal of Virology, v. 93, e00382-19, https://doi.org/10.1128/JVI.00382-19.","productDescription":"e00382-19","ipdsId":"IP-105811","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":467335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jvi.00382-19","text":"Publisher Index Page"},{"id":368860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vakharia, Vikram N","contributorId":215226,"corporation":false,"usgs":false,"family":"Vakharia","given":"Vikram","email":"","middleInitial":"N","affiliations":[{"id":39210,"text":"Institute of Marine & Environmental Technology, University of Maryland Baltimore County, 701 E. Pratt Street, Baltimore, MD 21202 USA","active":true,"usgs":false}],"preferred":false,"id":774395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Jie","contributorId":201274,"corporation":false,"usgs":false,"family":"Liu","given":"Jie","email":"","affiliations":[],"preferred":false,"id":774396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mckenney, Douglas 0000-0003-3565-7670","orcid":"https://orcid.org/0000-0003-3565-7670","contributorId":220174,"corporation":false,"usgs":true,"family":"Mckenney","given":"Douglas","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205022,"text":"70205022 - 2019 - The effects of seasonal temperature and photoperiod manipulation on reproduction in the eastern elliptio Elliptio complanata","interactions":[],"lastModifiedDate":"2019-08-28T10:33:59","indexId":"70205022","displayToPublicDate":"2019-08-20T10:30:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The effects of seasonal temperature and photoperiod manipulation on reproduction in the eastern elliptio <i>Elliptio complanata</i>","title":"The effects of seasonal temperature and photoperiod manipulation on reproduction in the eastern elliptio Elliptio complanata","docAbstract":"<p><span>The eastern elliptio&nbsp;</span><i>Elliptio complanata</i><span>&nbsp;is a species of freshwater mussel common to streams and rivers of the Atlantic Coast. Egg fertilization, larval brooding, and glochidial release are reported to occur within a period of several weeks during early to midsummer. In this study, mussels were exposed to manipulated photoperiod and water temperatures to prolong the availability of glochidia for use in artificial propagation and research. Brooding mussels were collected from Pine Creek, Tioga County, PA, in late December and were housed in groups subjected to one of four environmental treatments: natural temperature and photoperiod, 6-wk delay in natural conditions, 12-wk delay in natural conditions, and natural temperature and photoperiod with a winter low of 10°C. Reproductive activity was monitored for 1 y. Mussels subjected to natural conditions released mature glochidia between 16°C and 19°C with a photoperiod of 15 h of light. Temperature and photoperiod delays of 6 and 12 wk delayed reproduction proportional to the treatment, and constant 10°C winter low temperatures slightly shifted the timing of glochidial release. Survival during the study was high (96%–100%). Data indicate that the seasonal availability of&nbsp;</span><i>E. complanata</i><span>&nbsp;glochidia can be extended 3-fold using photoperiod and temperature manipulation.</span></p>","language":"English","publisher":"BioOne","doi":"10.2983/035.038.0219","usgsCitation":"Blakeslee, C.J., and Lellis, W.A., 2019, The effects of seasonal temperature and photoperiod manipulation on reproduction in the eastern elliptio Elliptio complanata: Journal of Shellfish Research, v. 38, no. 2, p. 379-384, https://doi.org/10.2983/035.038.0219.","productDescription":"6 p.","startPage":"379","endPage":"384","ipdsId":"IP-105915","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":367002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":769592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":769593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208499,"text":"70208499 - 2019 - New insights into the ecology of adfluvial Bull Trout and the population response to the Endangered Species Act in the North Fork Lewis River, Washington","interactions":[],"lastModifiedDate":"2020-02-14T06:31:16","indexId":"70208499","displayToPublicDate":"2019-08-20T08:31:35","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":"New insights into the ecology of adfluvial Bull Trout and the population response to the Endangered Species Act in the North Fork Lewis River, Washington","docAbstract":"Like many other salmonids, Bull Trout Salvelinus confluentus migratory life-history expressions are becoming increasingly rare.  A critical step in effectively refining management and conservation strategies is a robust assessment of the effectiveness of such strategies and key biological information used in monitoring and recovery planning.  To address this need, we integrated a variety of methods to evaluate the population demographics (abundance), vital rates (survival), and life-history characteristics (ageing, growth, spawning migrations and iteroparity) of an adfluvial Bull Trout population.  We also employed our mark-recapture data to quantify if recruitment or adult survival had a greater contribution to population trends from year to year.  Our results indicated Bull Trout spawning migrations vary with body size, as a considerable portion of smaller adults (<650 mm) did not spawn each year.  Additionally, most spawning individuals made only one spawning migration, while <13% made three or more spawning migrations.  Our abundance and survival data, which extends to the early 1990s, illustrated positive responses in survival and abundance following the protection of Bull Trout under the Endangered Species Act (1998).  Over this period, we found high interannual variability in both survival and abundance, and adult survival (average = 0.45, SE = 0.04) was surprisingly lower than subadult individuals (average = 0.66, SE = 0.04), suggesting limitations at this important life stage.  Our mark-recapture data also suggested the attributes driving the Bull Trout population trend (i.e., recruitment to the adult stage or adult survival) has varied through time, with declining trends in the relative contribution of recruitment.  Our results provide new insights into the life-history patterns of adfluvial Bull Trout and can serve as a template to consider factors potentially limiting this and other native trout populations.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10201","usgsCitation":"Al-Chokhachy, R.K., Doyle, J., and Lampierth, J., 2019, New insights into the ecology of adfluvial Bull Trout and the population response to the Endangered Species Act in the North Fork Lewis River, Washington: Transactions of the American Fisheries Society, v. 148, no. 6, p. 1102-1116, https://doi.org/10.1002/tafs.10201.","productDescription":"15 p.","startPage":"1102","endPage":"1116","ipdsId":"IP-097753","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":372305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"North Fork Lewis River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.12353515624999,\n              45.43700828867391\n            ],\n            [\n              -122.06909179687501,\n              45.43700828867391\n            ],\n            [\n              -122.06909179687501,\n              46.4605655457854\n            ],\n            [\n              -124.12353515624999,\n              46.4605655457854\n            ],\n            [\n              -124.12353515624999,\n              45.43700828867391\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"148","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":782173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, Jeremiah","contributorId":214617,"corporation":false,"usgs":false,"family":"Doyle","given":"Jeremiah","email":"","affiliations":[{"id":39086,"text":"PacifiCorp","active":true,"usgs":false}],"preferred":false,"id":782174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lampierth, James","contributorId":222448,"corporation":false,"usgs":false,"family":"Lampierth","given":"James","email":"","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":782175,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205098,"text":"70205098 - 2019 - Temporal changes in avian community composition in lowland conifer habitats at the southern edge of the boreal zone in the Adirondack Park, NY","interactions":[],"lastModifiedDate":"2020-12-08T18:04:21.214873","indexId":"70205098","displayToPublicDate":"2019-08-19T09:55:30","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":"Temporal changes in avian community composition in lowland conifer habitats at the southern edge of the boreal zone in the Adirondack Park, NY","docAbstract":"Climate change represents one of the most significant threats to human and wildlife communities on the planet. Populations at range margins or transitions between biomes can be particularly instructive for observing changes in biological communities that may be driven by climate change. Avian communities in lowland boreal habitats in the Adirondack Park, located at the North American boreal-temperate ecotone, have been the focus of long-term monitoring efforts since 2007. By documenting long-term changes in community structure and composition, such datasets provide an opportunity to understand how boreal species are responding differently to climate change, and which habitat characteristics may be best able to retain boreal avian communities. We examined three specific questions in order to address how well current biological communities in Adirondack boreal wetland habitats are being maintained in a changing climate: (1) how do trends in occupancy vary across species, and what guilds or characteristics are associated with increasing or decreasing occupancy? (2) how is avian community composition changing differently across sites, and (3) what distinguishes sites which are retaining boreal birds to a higher degree than other sites? Our analysis revealed that (1) boreal species appear to exhibit the largest changes in occupancy among our study locations as compared to the larger avian community, (2) dynamics of community change are not uniform across sites and habitat structure may play an important role in driving observed changes, and (3) the particular characteristics of large open peatlands may allow them to serve as refugia for boreal species in the context of climate change.","language":"English","publisher":"PLOS One","doi":"10.1371/journal.pone.0220927","usgsCitation":"Glennon, M., Langdon, S., Rubenstein, M.A., and Cross, M.S., 2019, Temporal changes in avian community composition in lowland conifer habitats at the southern edge of the boreal zone in the Adirondack Park, NY: PLoS ONE, v. 14, no. 8, e0220927, 18 p., https://doi.org/10.1371/journal.pone.0220927.","productDescription":"e0220927, 18 p.","ipdsId":"IP-106477","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0220927","text":"Publisher Index Page"},{"id":367132,"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              -75.377197265625,\n              43.04480541304369\n            ],\n            [\n              -73.2403564453125,\n              43.04480541304369\n            ],\n            [\n              -73.2403564453125,\n              44.88701247981298\n            ],\n            [\n              -75.377197265625,\n              44.88701247981298\n            ],\n            [\n              -75.377197265625,\n              43.04480541304369\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-19","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":770010,"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":770011,"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":770009,"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":770012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227753,"text":"70227753 - 2019 - One hundred pressing questions on the future of global fish migration science, conservation, and policy","interactions":[],"lastModifiedDate":"2022-01-28T15:23:23.234017","indexId":"70227753","displayToPublicDate":"2019-08-19T08:58:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"One hundred pressing questions on the future of global fish migration science, conservation, and policy","docAbstract":"<p><span>Migration is a widespread but highly diverse component of many animal life histories. Fish migrate throughout the world's oceans, within lakes and rivers, and between the two realms, transporting matter, energy, and other species (e.g., microbes) across boundaries. Migration is therefore a process responsible for myriad ecosystem services. Many human populations depend on the presence of predictable migrations of fish for their subsistence and livelihoods. Although much research has focused on fish migration, many questions remain in our rapidly changing world. We assembled a diverse team of fundamental and applied scientists who study fish migrations in marine and freshwater environments to identify pressing unanswered questions. Our exercise revealed questions within themes related to understanding the migrating individual's internal state, navigational mechanisms, locomotor capabilities, external drivers of migration, the threats confronting migratory fish including climate change, and the role of migration. In addition, we identified key requirements for aquatic animal management, restoration, policy, and governance. Lessons revealed included the difficulties in generalizing among species and populations, and in understanding the levels of connectivity facilitated by migrating fishes. We conclude by identifying priority research needed for assuring a sustainable future for migratory fishes.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2019.00286","usgsCitation":"Lennox, R.J., Paukert, C.P., Aarestrup, K., Auger-Methe, M., Baumgartner, L.J., Birnie-Gauvin, K., Boe, K., Brink, K., Brownscombe, J.W., Chen, Y., Davidsen, J., Eliason, E.J., Filous, A., Gillanders, B., Palm Helland, I., Horodysky, A.Z., Januchowski-Hartley, S.R., Lowerre-Barbieri, S.K., Lucas, M.C., Martins, E.G., Murchie, K.J., Pompeu, P.S., Power, M., Raghavan, R., Rahel, F.J., Secor, D., Thiem, J., Thorstad, E.B., Ueda, H., Whoriskey, F.G., and Cooke, S.J., 2019, One hundred pressing questions on the future of global fish migration science, conservation, and policy: Frontiers in Ecology and Evolution, v. 7, 286, 16 p., https://doi.org/10.3389/fevo.2019.00286.","productDescription":"286, 16 p.","ipdsId":"IP-108920","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00286","text":"Publisher Index Page"},{"id":395049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2019-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Lennox, Robert J.","contributorId":198273,"corporation":false,"usgs":false,"family":"Lennox","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aarestrup, Kim","contributorId":203992,"corporation":false,"usgs":false,"family":"Aarestrup","given":"Kim","email":"","affiliations":[{"id":36789,"text":"Danmarks Tekniske Universitet","active":true,"usgs":false}],"preferred":false,"id":832112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Auger-Methe, Marie","contributorId":272553,"corporation":false,"usgs":false,"family":"Auger-Methe","given":"Marie","email":"","affiliations":[],"preferred":false,"id":832113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baumgartner, Lee J.","contributorId":203990,"corporation":false,"usgs":false,"family":"Baumgartner","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36787,"text":"Charles Sturt University, Institute for Land, Water, and Society","active":true,"usgs":false}],"preferred":false,"id":832114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birnie-Gauvin, Kim","contributorId":272554,"corporation":false,"usgs":false,"family":"Birnie-Gauvin","given":"Kim","email":"","affiliations":[],"preferred":false,"id":832115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boe, Kristin","contributorId":272555,"corporation":false,"usgs":false,"family":"Boe","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":832116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brink, Kerry","contributorId":272556,"corporation":false,"usgs":false,"family":"Brink","given":"Kerry","email":"","affiliations":[],"preferred":false,"id":832117,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brownscombe, Jacob W","contributorId":215060,"corporation":false,"usgs":false,"family":"Brownscombe","given":"Jacob","email":"","middleInitial":"W","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":832118,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chen, Yushun","contributorId":146569,"corporation":false,"usgs":false,"family":"Chen","given":"Yushun","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":832119,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Davidsen, J. G.","contributorId":38385,"corporation":false,"usgs":false,"family":"Davidsen","given":"J. G.","affiliations":[],"preferred":false,"id":832120,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Eliason, Erika J.","contributorId":176524,"corporation":false,"usgs":false,"family":"Eliason","given":"Erika","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832121,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Filous, Alexander","contributorId":272557,"corporation":false,"usgs":false,"family":"Filous","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":832122,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gillanders, Bronwyn","contributorId":58511,"corporation":false,"usgs":true,"family":"Gillanders","given":"Bronwyn","affiliations":[],"preferred":false,"id":832123,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Palm Helland, Ingebord","contributorId":272558,"corporation":false,"usgs":false,"family":"Palm Helland","given":"Ingebord","email":"","affiliations":[],"preferred":false,"id":832124,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Horodysky, Andrij Z","contributorId":264144,"corporation":false,"usgs":false,"family":"Horodysky","given":"Andrij","email":"","middleInitial":"Z","affiliations":[{"id":54388,"text":"Hampton University","active":true,"usgs":false}],"preferred":false,"id":832125,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Januchowski-Hartley, Stephanie R.","contributorId":272559,"corporation":false,"usgs":false,"family":"Januchowski-Hartley","given":"Stephanie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":832126,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lowerre-Barbieri, Susan 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,{"id":70204842,"text":"70204842 - 2019 - Radiocarbon and geologic evidence reveal Ilopango volcano as source of the colossal 'mystery' eruption of 539/40 CE","interactions":[],"lastModifiedDate":"2019-10-09T09:46:00","indexId":"70204842","displayToPublicDate":"2019-08-16T16:02:53","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":"Radiocarbon and geologic evidence reveal Ilopango volcano as source of the colossal 'mystery' eruption of 539/40 CE","docAbstract":"<p><span>Ilopango volcano (El Salvador) erupted violently during the Maya Classic Period (250–900 CE) in a densely-populated and intensively-cultivated region of the southern Maya realm, causing regional abandonment of an area covering more than 20,000 km</span><sup>2</sup><span>. However, neither the regional nor global impacts of the Tierra Blanca Joven (TBJ) eruption in Mesoamerica have been well appraised due to limitations in available volcanological, chronological, and archaeological observations. Here we present new evidence of the age, magnitude and sulfur release of the TBJ eruption, establishing it as one of the two hitherto unidentified volcanic triggers of a period of stratospheric aerosol loading that profoundly impacted Northern Hemisphere climate and society between circa 536 and 550 CE. Our chronology is derived from 100 new radiocarbon measurements performed on three subfossil tree trunks enveloped in proximal TBJ pyroclastic deposits. We also reassess the eruption magnitude using terrestrial (El Salvador, Guatemala, Honduras) and near-shore marine TBJ tephra deposit thickness measurements. Together, our new constraints on the age, eruption size (43.6 km</span><sup>3</sup><span>&nbsp;Dense Rock Equivalent of magma, magnitude = 7.0) and sulfur yield (∼9–90 Tg), along with Ilopango's latitude (13.7° N), squarely frame the TBJ as the major climate-forcing eruption of 539 or 540 CE identified in bipolar ice cores and sourced to the tropics. In addition to deepening appreciation of the TBJ eruption's impacts in Mesoamerica, linking it to the major Northern Hemisphere climatic downturn of the mid-6th century CE offers another piece in the puzzle of understanding Eurasian history of the period.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.07.037","usgsCitation":"Dull, R.A., Southon, J.R., Kutterolf, S., Anchukaitis, K.J., Freundt, A., Wahl, D., Sheets, P., Amaroli, P., Hernandez, W., Weimann, M.C., and Oppenheimer, C., 2019, Radiocarbon and geologic evidence reveal Ilopango volcano as source of the colossal 'mystery' eruption of 539/40 CE: Quaternary Science Reviews, v. 222, 105855, 17 p., https://doi.org/10.1016/j.quascirev.2019.07.037.","productDescription":"105855, 17 p.","ipdsId":"IP-107480","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://oceanrep.geomar.de/47558/1/Kopie%20von%20Dull2018_radicarbon_data_TBJ.xlsx","text":"Publisher Index Page"},{"id":366663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"El Salvador","city":"Guazapa","otherGeospatial":"Ilopango Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.26048278808594,\n              13.788070868534126\n            ],\n            [\n              -89.03800964355467,\n              13.788070868534126\n            ],\n            [\n              -89.03800964355467,\n              13.96405503013876\n            ],\n            [\n              -89.26048278808594,\n              13.96405503013876\n            ],\n            [\n              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,{"id":70215778,"text":"70215778 - 2019 - Phosphorus and the Chesapeake Bay: Lingering issues and emerging concerns for agriculture","interactions":[],"lastModifiedDate":"2020-10-29T21:50:50.764784","indexId":"70215778","displayToPublicDate":"2019-08-15T16:39:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Phosphorus and the Chesapeake Bay: Lingering issues and emerging concerns for agriculture","docAbstract":"<p><span>Hennig Brandt's discovery of phosphorus (P) occurred during the early European colonization of the Chesapeake Bay region. Today, P, an essential nutrient on land and water alike, is one of the principal threats to the health of the bay. Despite widespread implementation of best management practices across the Chesapeake Bay watershed following the implementation in 2010 of a total maximum daily load (TMDL) to improve the health of the bay, P load reductions across the bay's 166,000‐km</span><sup>2</sup><span>&nbsp;watershed have been uneven, and dissolved P loads have increased in a number of the bay's tributaries. As the midpoint of the 15‐yr TMDL process has now passed, some of the more stubborn sources of P must now be tackled. For nonpoint agricultural sources, strategies that not only address particulate P but also mitigate dissolved P losses are essential. Lingering concerns include legacy P stored in soils and reservoir sediments, mitigation of P in artificial drainage and stormwater from hotspots and converted farmland, manure management and animal heavy use areas, and critical source areas of P in agricultural landscapes. While opportunities exist to curtail transport of all forms of P, greater attention is required toward adapting P management to new hydrologic regimes and transport pathways imposed by climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.2134/jeq2019.03.0112","usgsCitation":"Kleinman, P., Fanelli, R., Hirsch, R.M., Buda, A.R., Easton, Z.M., Wainger, L.A., Brosch, C., Lowenfish, M., Collick, A.S., Shirmohammadi, A., Boomer, K., Hubbart, J.A., Bryant, R.B., and Shenk, G., 2019, Phosphorus and the Chesapeake Bay: Lingering issues and emerging concerns for agriculture: Journal of Environmental Quality, v. 48, no. 5, p. 1191-1203, https://doi.org/10.2134/jeq2019.03.0112.","productDescription":"13 p.","startPage":"1191","endPage":"1203","ipdsId":"IP-106511","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":467365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2019.03.0112","text":"Publisher Index Page"},{"id":379941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.11328125,\n              36.92793899776678\n            ],\n            [\n              -75.948486328125,\n              37.23470197166817\n            ],\n            [\n              -75.673828125,\n              37.896530447543\n            ],\n            [\n              -75.816650390625,\n              38.28993659801203\n            ],\n            [\n              -75.8221435546875,\n              38.436379603\n            ],\n            [\n              -76.0858154296875,\n              38.44498466889473\n            ],\n            [\n              -76.0308837890625,\n              38.71980474264237\n            ],\n            [\n              -75.7781982421875,\n              39.614152077002664\n            ],\n            [\n              -76.1956787109375,\n              39.592990390285024\n            ],\n            [\n              -76.7230224609375,\n              39.21948715423953\n            ],\n            [\n              -76.629638671875,\n              38.565347844885466\n            ],\n            [\n              -76.629638671875,\n              38.40194908237822\n            ],\n            [\n              -77.0635986328125,\n              38.487994609214795\n            ],\n            [\n              -77.05810546875,\n              38.21660403859855\n            ],\n            [\n              -76.4373779296875,\n              37.92686760148135\n            ],\n            [\n              -77.04711914062499,\n              38.190704293996504\n            ],\n            [\n              -77.156982421875,\n              38.043765107439675\n            ],\n            [\n              -76.497802734375,\n              37.501010429493284\n            ],\n            [\n              -76.4813232421875,\n              37.322120359451766\n            ],\n            [\n              -76.4813232421875,\n              37.14718209972376\n            ],\n            [\n              -76.234130859375,\n              36.85764758564407\n            ],\n            [\n              -76.11328125,\n              36.92793899776678\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kleinman, Peter","contributorId":244141,"corporation":false,"usgs":false,"family":"Kleinman","given":"Peter","email":"","affiliations":[{"id":48855,"text":"USDA-ARS, Pasture Syst. and Watershed Mgmt. Res. Unit, University Park, PA 16877","active":true,"usgs":false}],"preferred":false,"id":803404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fanelli, Rosemary M. 0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":206608,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":803478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buda, Anthony R 0000-0002-5194-4998","orcid":"https://orcid.org/0000-0002-5194-4998","contributorId":243977,"corporation":false,"usgs":false,"family":"Buda","given":"Anthony","email":"","middleInitial":"R","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":803479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Easton, Zachary M.","contributorId":244188,"corporation":false,"usgs":false,"family":"Easton","given":"Zachary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":803480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wainger, Lisa A.","contributorId":127628,"corporation":false,"usgs":false,"family":"Wainger","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":803481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brosch, Chris","contributorId":244189,"corporation":false,"usgs":false,"family":"Brosch","given":"Chris","email":"","affiliations":[],"preferred":false,"id":803482,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lowenfish, Mark","contributorId":244191,"corporation":false,"usgs":false,"family":"Lowenfish","given":"Mark","email":"","affiliations":[],"preferred":false,"id":803483,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Collick, Amy S.","contributorId":244192,"corporation":false,"usgs":false,"family":"Collick","given":"Amy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":803484,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shirmohammadi, Adel","contributorId":244193,"corporation":false,"usgs":false,"family":"Shirmohammadi","given":"Adel","email":"","affiliations":[],"preferred":false,"id":803485,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Boomer, Kathy","contributorId":218733,"corporation":false,"usgs":false,"family":"Boomer","given":"Kathy","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":803486,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hubbart, Jason A.","contributorId":194439,"corporation":false,"usgs":false,"family":"Hubbart","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":803487,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bryant, R. B.","contributorId":191824,"corporation":false,"usgs":false,"family":"Bryant","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":803488,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shenk, Gary","contributorId":244194,"corporation":false,"usgs":false,"family":"Shenk","given":"Gary","affiliations":[],"preferred":false,"id":803489,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70204942,"text":"70204942 - 2019 - Biogenic coal-to-methane conversion can be enhanced with small additions of algal amendment in field-relevant upflow column reactors","interactions":[],"lastModifiedDate":"2019-08-26T10:41:26","indexId":"70204942","displayToPublicDate":"2019-08-15T10:38:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1709,"text":"Fuel","active":true,"publicationSubtype":{"id":10}},"title":"Biogenic coal-to-methane conversion can be enhanced with small additions of algal amendment in field-relevant upflow column reactors","docAbstract":"<p><span>ubsurface coal environments, where biogenic coal-to-methane conversion occurs, are difficult to access, resulting in inherent challenges and expenses for&nbsp;</span><i>in situ</i><span>experiments. Previous batch reactor studies provided insights into specific processes, pathways, kinetics, and engineering strategies, but field-relevance is restricted due to limited substrate availability or byproduct accumulation that may influence reactions or metabolisms. In this study, continuous-flow column reactors were used to overcome some batch limitations, improve the understanding of&nbsp;</span><i>in situ</i><span>conditions, and increase field-relevance for subsurface engineering technology development. The bench-scale reactor system was constructed to investigate the addition of algal amendment for enhancing microbial coal-to-methane conversion previously developed in batch systems. Four reactor columns were packed with coal and inoculated with a microbial consortium from the same Flowers-Goodale coal bed. Two reactors were amended with&nbsp;</span><sup>13</sup><span>C-labeled algal amendment on day 0, and two were unamended. On day 61, one previously amended and one previously unamended reactor were re-amended. Produced gases were captured in a gas trap, and CH</span><sub>4</sub><span>&nbsp;and CO</span><sub>2</sub><span>&nbsp;were quantified. The reactor amended twice produced 1712.6 µmol CH</span><sub>4</sub><span>&nbsp;(4.6% as&nbsp;</span><sup>13</sup><span>CH</span><sub>4</sub><span>). The reactor amended only on day 0 produced 1485.5 µmol CH</span><sub>4</sub><span>&nbsp;(2.6% as&nbsp;</span><sup>13</sup><span>CH</span><sub>4</sub><span>). The reactor amended only on day 61 produced 278.9 µmol CH</span><sub>4</sub><span>&nbsp;(3.9% as&nbsp;</span><sup>13</sup><span>CH</span><sub>4</sub><span>). The reactor with no amendment produced no measurable gases for the duration of the 172-day experiment. Amendment increased the rate of coal-to-methane conversion and total gas production; most of the produced gases were due to coal conversion with only small contributions (&lt;7%) from amendment conversion.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2019.115905","usgsCitation":"Davis, K.J., Platt, G.A., Barnhart, E.P., Hiebart, R., Hyatt, R., Fields, M.W., and Gerlach, R., 2019, Biogenic coal-to-methane conversion can be enhanced with small additions of algal amendment in field-relevant upflow column reactors: Fuel, v. 256, 115905, 8 p., https://doi.org/10.1016/j.fuel.2019.115905.","productDescription":"115905, 8 p.","ipdsId":"IP-106712","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":467367,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1557363","text":"Publisher Index Page"},{"id":366902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"256","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Katherine J.","contributorId":203246,"corporation":false,"usgs":false,"family":"Davis","given":"Katherine","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":769184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Platt, George A.","contributorId":218404,"corporation":false,"usgs":false,"family":"Platt","given":"George","email":"","middleInitial":"A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":769185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hiebart, Randy","contributorId":218422,"corporation":false,"usgs":false,"family":"Hiebart","given":"Randy","email":"","affiliations":[],"preferred":false,"id":769186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hyatt, Robert","contributorId":218406,"corporation":false,"usgs":false,"family":"Hyatt","given":"Robert","email":"","affiliations":[{"id":39839,"text":"Montana Emergent Technologies","active":true,"usgs":false}],"preferred":false,"id":769187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":769188,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gerlach, Robin","contributorId":203247,"corporation":false,"usgs":false,"family":"Gerlach","given":"Robin","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":769189,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207595,"text":"70207595 - 2019 - Predicting surf zone injuries along the Delaware coast using a Bayesian network","interactions":[],"lastModifiedDate":"2019-12-30T16:30:44","indexId":"70207595","displayToPublicDate":"2019-08-14T16:28:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Predicting surf zone injuries along the Delaware coast using a Bayesian network","docAbstract":"Personnel at Beebe Healthcare in Lewes, Delaware, collected surf zone injury (SZI) data for eight summer seasons from 2010 through 2017. Data include, but are not limited to, time of injury, gender, age, and activity. More than 2000 SZI events, including 196 spinal injuries and 6 fatalities, occurred at the five most populated beaches along the 25 miles of Atlantic-fronting coast. SZI are predominantly wave related incidents associated with wading (50.1%), body surfing (18.4%), and body boarding (13.3%). The episodic nature of SZI indicate the importance of linking the environmental conditions and human behavior in the surf zone to predict days with high injury rates. Higher order statistics are necessary to effectively consider all associated factors related to SZI. Two Bayesian networks (BN) were constructed to model SZI and predict changes in injury rate (proportion of injuries to bathers) and injury likelihood (probability of at least one injury occurrence) on an hourly basis. The models incorporate environmental data collected by weather stations, wave gauges, and researcher personnel on the beach. The models include prior (e.g., historic) information to infer relationships between provided parameters. Sensitivity analysis determined the most influential parameters related to injury rates were significant wave height, foreshore slope, and water temperature. Exposure parameters (e.g., air temperature) influenced the number of people in the water, resulting in strong correlation between injury likelihood and the related meteorological conditions (variance reduction > 0.4%). Log likelihood ratio (LLR) scores indicate the network predicts SZI likelihood during any specified hour with more skill than prior predictions with the best performing model improving prediction 69.1% of the time (LLR = 69.1%). An alternative BN predicting injury rate performed worse with the prior probability model out predicting the injury rate network (positive LLR = 36.7%). Issues persist with predicting SZI that have an LLR ≪ -1 (< 5% of 2017 injuries) and occur in conditions different than when most other SZI occur. Better understanding of SZI will improve awareness techniques to both educate beachgoers and assist beach patrol decision making during high risk conditions.","language":"English","publisher":"Springer","doi":"10.1007/s11069-019-03697-y","usgsCitation":"Doelp, M., Puleo, J., and Plant, N.G., 2019, Predicting surf zone injuries along the Delaware coast using a Bayesian network: Natural Hazards, v. 98, no. 2, p. 379-401, https://doi.org/10.1007/s11069-019-03697-y.","productDescription":"22 p.","startPage":"379","endPage":"401","ipdsId":"IP-100096","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":370880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.564927,39.583248],[-75.576271,39.588144],[-75.578719,39.591504],[-75.579615,39.598656],[-75.565823,39.590608],[-75.564927,39.583248]]],[[[-75.55587,39.605824],[-75.561934,39.605216],[-75.567694,39.613744],[-75.571759,39.623584],[-75.570798,39.626768],[-75.559446,39.629812],[-75.559102,39.629056],[-75.559614,39.624208],[-75.558446,39.617296],[-75.556878,39.612144],[-75.557502,39.609184],[-75.556734,39.606688],[-75.55587,39.605824]]],[[[-75.594846,39.837286],[-75.593666,39.837455],[-75.593082,39.8375],[-75.5799,39.838522],[-75.579849,39.838526],[-75.570464,39.839007],[-75.539346,39.838211],[-75.518444,39.836311],[-75.498843,39.833312],[-75.481242,39.829112],[-75.463341,39.823812],[-75.45374,39.820312],[-75.428038,39.809212],[-75.415041,39.801786],[-75.405337,39.796213],[-75.437938,39.783413],[-75.440909,39.780831],[-75.448639,39.774113],[-75.448135,39.773969],[-75.447339,39.773313],[-75.452339,39.769013],[-75.459439,39.765813],[-75.463339,39.761213],[-75.463039,39.758313],[-75.466249,39.750769],[-75.466263,39.750737],[-75.469239,39.743613],[-75.474168,39.735473],[-75.475384,39.731057],[-75.47544,39.728713],[-75.47724,39.724713],[-75.477432,39.720561],[-75.476888,39.718337],[-75.47764,39.715013],[-75.47894,39.713813],[-75.481741,39.714546],[-75.483141,39.715513],[-75.485241,39.715813],[-75.488553,39.714833],[-75.491341,39.711113],[-75.496241,39.701413],[-75.504042,39.698313],[-75.507162,39.696961],[-75.509042,39.694513],[-75.509742,39.686113],[-75.529744,39.692613],[-75.562246,39.656712],[-75.587147,39.651012],[-75.611969,39.621968],[-75.613153,39.62096],[-75.613377,39.620288],[-75.614065,39.61832],[-75.614929,39.615952],[-75.614273,39.61464],[-75.613345,39.613056],[-75.613665,39.61256],[-75.613233,39.607408],[-75.613477,39.606861],[-75.613473,39.606832],[-75.613793,39.606192],[-75.611905,39.597568],[-75.611873,39.597408],[-75.60464,39.58992],[-75.603584,39.58896],[-75.592224,39.583568],[-75.591984,39.583248],[-75.587744,39.580672],[-75.5872,39.580256],[-75.586608,39.57888],[-75.586016,39.578448],[-75.571599,39.567728],[-75.570783,39.56728],[-75.563034,39.56224],[-75.564649,39.559922],[-75.565636,39.558509],[-75.569359,39.540589],[-75.569418,39.539124],[-75.570362,39.527223],[-75.560728,39.520472],[-75.566933,39.508273],[-75.576436,39.509195],[-75.587729,39.496353],[-75.587729,39.495369],[-75.593068,39.479186],[-75.593068,39.477996],[-75.589901,39.462022],[-75.589439,39.460812],[-75.580185,39.450786],[-75.578914,39.44788],[-75.570985,39.442486],[-75.57183,39.438897],[-75.55589,39.430351],[-75.538512,39.416502],[-75.535977,39.409384],[-75.523583,39.391583],[-75.521682,39.387871],[-75.512996,39.366153],[-75.512372,39.365656],[-75.511788,39.365191],[-75.505276,39.359169],[-75.494158,39.354613],[-75.491797,39.351845],[-75.494122,39.34658],[-75.493148,39.345527],[-75.491688,39.343963],[-75.490377,39.342818],[-75.479845,39.337472],[-75.479963,39.336577],[-75.469324,39.33082],[-75.460423,39.328236],[-75.439027,39.313384],[-75.436936,39.309379],[-75.435551,39.297546],[-75.435374,39.296676],[-75.427953,39.285049],[-75.408376,39.264698],[-75.402964,39.254626],[-75.404823,39.245898],[-75.405927,39.243631],[-75.405716,39.223834],[-75.404745,39.222666],[-75.396892,39.216141],[-75.393015,39.204512],[-75.39479,39.188354],[-75.398584,39.186616],[-75.400144,39.186456],[-75.408266,39.174625],[-75.410625,39.156246],[-75.401193,39.088762],[-75.402035,39.066885],[-75.400294,39.065645],[-75.395806,39.059211],[-75.396277,39.057884],[-75.387914,39.051174],[-75.379873,39.04879],[-75.345763,39.024857],[-75.34089,39.01996],[-75.318354,38.988191],[-75.314951,38.980775],[-75.311607,38.967637],[-75.312546,38.951065],[-75.312546,38.94928],[-75.311923,38.945917],[-75.311882,38.945698],[-75.311542,38.944633],[-75.302552,38.939002],[-75.312282,38.924594],[-75.304078,38.91316],[-75.263115,38.877351],[-75.232029,38.844254],[-75.205329,38.823386],[-75.190552,38.806861],[-75.160748,38.791224],[-75.159022,38.790193],[-75.134022,38.782242],[-75.113331,38.782998],[-75.097103,38.788703],[-75.093654,38.793992],[-75.097197,38.803101],[-75.093805,38.803812],[-75.089473,38.797198],[-75.082153,38.772157],[-75.080217,38.750112],[-75.079221,38.738238],[-75.06551,38.66103],[-75.065217,38.632394],[-75.06192,38.608869],[-75.061259,38.608602],[-75.060478,38.608012],[-75.060032,38.607709],[-75.049748,38.486387],[-75.048939,38.451263],[-75.049268,38.451264],[-75.05251,38.451273],[-75.053483,38.451274],[-75.064719,38.451289],[-75.066327,38.451291],[-75.069909,38.451276],[-75.070356,38.451276],[-75.085814,38.451258],[-75.088281,38.451256],[-75.089649,38.451254],[-75.141894,38.451196],[-75.185413,38.451013],[-75.252723,38.451397],[-75.26035,38.451492],[-75.341247,38.45197],[-75.34125,38.45197],[-75.355797,38.452008],[-75.371054,38.452107],[-75.393563,38.452114],[-75.394786,38.45216],[-75.41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 \"}}]}","volume":"98","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Doelp, Matthew","contributorId":221558,"corporation":false,"usgs":false,"family":"Doelp","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":778659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puleo, Jack A.","contributorId":108287,"corporation":false,"usgs":true,"family":"Puleo","given":"Jack A.","affiliations":[],"preferred":false,"id":778660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":778661,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205307,"text":"70205307 - 2019 - Epidemic growth rates and host movement patterns shape management performance for pathogen spillover at the wildlife-livestock interface","interactions":[],"lastModifiedDate":"2019-09-13T14:38:35","indexId":"70205307","displayToPublicDate":"2019-08-12T14:35:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Epidemic growth rates and host movement patterns shape management performance for pathogen spillover at the wildlife-livestock interface","docAbstract":"<p><span>Managing pathogen spillover at the wildlife–livestock interface is a key step towards improving global animal health, food security and wildlife conservation. However, predicting the effectiveness of management actions across host–pathogen systems with different life histories is an on-going challenge since data on intervention effectiveness are expensive to collect and results are system-specific. We developed a simulation model to explore how the efficacies of different management strategies vary according to host movement patterns and epidemic growth rates. The model suggested that fast-growing, fast-moving epidemics like avian influenza were best-managed with actions like biosecurity or containment, which limited and localized overall spillover risk. For fast-growing, slower-moving diseases like foot-and-mouth disease, depopulation or prophylactic vaccination were competitive management options. Many actions performed competitively when epidemics grew slowly and host movements were limited, and how management efficacy related to epidemic growth rate or host movement propensity depended on what objective was used to evaluate management performance. This framework offers one means of classifying and prioritizing responses to novel pathogen spillover threats, and evaluating current management actions for pathogens emerging at the wildlife–livestock interface.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2018.0343","usgsCitation":"Manlove, K., Sam, L., Borremans, B., Cassirer, E.F., Miller, R.S., Pepin, K., Besser, T.E., and Cross, P., 2019, Epidemic growth rates and host movement patterns shape management performance for pathogen spillover at the wildlife-livestock interface: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 374, no. 1782, 20180343, https://doi.org/10.1098/rstb.2018.0343.","productDescription":"20180343","ipdsId":"IP-103606","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6711312","text":"Publisher Index Page"},{"id":367417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"374","issue":"1782","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-12","publicationStatus":"PW","contributors":{"authors":[{"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":770820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sam, L.","contributorId":218982,"corporation":false,"usgs":false,"family":"Sam","given":"L.","email":"","affiliations":[],"preferred":false,"id":770821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borremans, B. 0000-0002-7779-4107","orcid":"https://orcid.org/0000-0002-7779-4107","contributorId":218983,"corporation":false,"usgs":false,"family":"Borremans","given":"B.","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":770822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cassirer, E. Frances","contributorId":198303,"corporation":false,"usgs":false,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":770826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, R. S.","contributorId":172739,"corporation":false,"usgs":false,"family":"Miller","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":770823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pepin, K. 0000-0002-9931-8312","orcid":"https://orcid.org/0000-0002-9931-8312","contributorId":218984,"corporation":false,"usgs":false,"family":"Pepin","given":"K.","email":"","affiliations":[{"id":39647,"text":"USDA-APHIS","active":true,"usgs":false}],"preferred":false,"id":770824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":770825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cross, Paul","contributorId":218980,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":770819,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70205208,"text":"70205208 - 2019 - Confronting models with data: The challenges of estimating disease spillover","interactions":[],"lastModifiedDate":"2019-09-06T10:33:08","indexId":"70205208","displayToPublicDate":"2019-08-12T10:29:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Confronting models with data: The challenges of estimating disease spillover","docAbstract":"For pathogens known to transmit across host species, strategic investment in disease control requires knowledge about where and when spillover transmission is likely. One approach to estimating spillover is to directly correlate observed spillover events with covariates. An alternative is to mechanistically combine information on host density, distribution, and pathogen prevalence to predict where and when spillover events are expected to occur. We use several case studies at the wildlife-livestock disease interface to highlight the challenges, and potential solutions, to estimating spatio-temporal variation in spillover risk. Datasets on multiple host species often do not align in space, time or resolution, and may have no estimates of observation error. Linking these datasets requires they be related to a common spatial and temporal resolution and appropriately propagating errors in predictions can be difficult. Hierarchical models are one potential solution, but for fine-resolution predictions at broad spatial scales many models become computationally challenging. Despite these limitations, the confrontation of mechanistic predictions with observed events is an important avenue for developing a better understanding of pathogen spillover. Systems where data have been collected at all levels in the spillover process are rare, or non-existent, and require investment and sustained effort across disciplines.","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2018.0435","usgsCitation":"Cross, P.C., Prosser, D., Ramey, A.M., Hanks, E.M., and Pepin, K., 2019, Confronting models with data: The challenges of estimating disease spillover: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 374, no. 1782, 20180435, https://doi.org/10.1098/rstb.2018.0435.","productDescription":"20180435","ipdsId":"IP-103613","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6711303","text":"Publisher Index Page"},{"id":367254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"374","issue":"1782","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":770369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":770370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":770371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanks, Ephraim M. 0000-0003-0345-7164","orcid":"https://orcid.org/0000-0003-0345-7164","contributorId":210840,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":770372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pepin, Kim M. 0000-0002-9931-8312","orcid":"https://orcid.org/0000-0002-9931-8312","contributorId":187441,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim M.","affiliations":[],"preferred":false,"id":770373,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205207,"text":"70205207 - 2019 - Ecological interventions to prevent and manage zoonotic pathogen spillover","interactions":[],"lastModifiedDate":"2019-09-06T10:28:45","indexId":"70205207","displayToPublicDate":"2019-08-12T10:21:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Ecological interventions to prevent and manage zoonotic pathogen spillover","docAbstract":"<p><span>Spillover of a pathogen from a wildlife reservoir into a human or livestock host requires the pathogen to overcome a hierarchical series of barriers. Interventions aimed at one or more of these barriers may be able to prevent the occurrence of spillover. Here, we demonstrate how interventions that target the ecological context in which spillover occurs (i.e. ecological interventions) can complement conventional approaches like vaccination, treatment, disinfection and chemical control. Accelerating spillover owing to environmental change requires effective, affordable, durable and scalable solutions that fully harness the complex processes involved in cross-species pathogen spillover.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2018.0342","usgsCitation":"Sokolow, S., Nova, N., Pepin, K., Peel, A.J., Pulliam, J., Manlove, K.R., Cross, P., Becker, D., Plowright, R., McCallum, H., and De Leo, G.A., 2019, Ecological interventions to prevent and manage zoonotic pathogen spillover: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 374, no. 1782, 20180342, 10 p., https://doi.org/10.1098/rstb.2018.0342.","productDescription":"20180342, 10 p.","ipdsId":"IP-104035","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2018.0342","text":"Publisher Index Page"},{"id":367253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"374","issue":"1782","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Sokolow, S. H.","contributorId":218821,"corporation":false,"usgs":false,"family":"Sokolow","given":"S. H.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":770359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nova, Nicole","contributorId":218822,"corporation":false,"usgs":false,"family":"Nova","given":"Nicole","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":770360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pepin, Kim","contributorId":172813,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim","affiliations":[{"id":27093,"text":"National Wildlife Research Center, United States Department of Agriculture, 4101 Laporte Ave., Fort Collins, CO, 80526","active":true,"usgs":false}],"preferred":false,"id":770361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peel, A. J.","contributorId":218823,"corporation":false,"usgs":false,"family":"Peel","given":"A.","email":"","middleInitial":"J.","affiliations":[{"id":7117,"text":"Griffith University","active":true,"usgs":false}],"preferred":false,"id":770362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pulliam, J","contributorId":218824,"corporation":false,"usgs":false,"family":"Pulliam","given":"J","email":"","affiliations":[{"id":39919,"text":"Stellenbosch University","active":true,"usgs":false}],"preferred":false,"id":770366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manlove, Kezia R.","contributorId":198305,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":770363,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":218820,"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":770358,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Becker, D.","contributorId":177951,"corporation":false,"usgs":false,"family":"Becker","given":"D.","email":"","affiliations":[],"preferred":false,"id":770364,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plowright, RK","contributorId":149691,"corporation":false,"usgs":false,"family":"Plowright","given":"RK","email":"","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":770365,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCallum, Hamish","contributorId":174852,"corporation":false,"usgs":false,"family":"McCallum","given":"Hamish","affiliations":[],"preferred":false,"id":770367,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"De Leo, Giulio A.","contributorId":146323,"corporation":false,"usgs":false,"family":"De Leo","given":"Giulio","email":"","middleInitial":"A.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":770368,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70208502,"text":"70208502 - 2019 - Return of a giant: Coordinated conservation leads to the first wild reproduction of Lahontan Cutthroat Trout in the Truckee River in nearly a century","interactions":[],"lastModifiedDate":"2020-03-11T15:44:57","indexId":"70208502","displayToPublicDate":"2019-08-12T08:35:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Return of a giant: Coordinated conservation leads to the first wild reproduction of Lahontan Cutthroat Trout in the Truckee River in nearly a century","docAbstract":"<p><span>Many freshwater fish populations have been greatly reduced, with particular loss of migratory fishes. Recovering depleted populations is challenging as threats are often plentiful and complex, especially in arid environments where demands for water resources are high. Here, we describe how a collaborative, multifaceted approach has spurred natural reproduction—a major step towards Lahontan Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii henshawi</i><span>&nbsp;(LCT) recovery in Pyramid Lake and the Truckee River, Nevada, once home to one of largest freshwater salmonids in North America. The factors limiting LCT were immense, including habitat fragmentation, degradation, and non‐native species attributes common in the declines of native salmonids. Yet for the first time in over 80&nbsp;years and each year since 2014, adfluvial LCT have spawned in the lower Truckee River, resulting in the production of tens of thousands of young‐of‐year. The progress and positive trajectory towards recovery were driven by a holistic view of the Truckee River watershed beginning in the early 1990's that envisioned bringing numerous conservation building blocks together to expedite the conservation and recovery for the listed fishes of Pyramid Lake. Although additional challenges remain, the LCT recovery program in the Truckee River basin provides a template for the conservation of imperiled fishes.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10350","usgsCitation":"Al-Chokhachy, R., Heki, L., Loux, T., and Peka, R., 2019, Return of a giant: Coordinated conservation leads to the first wild reproduction of Lahontan Cutthroat Trout in the Truckee River in nearly a century: Fisheries, v. 45, no. 2, p. 63-73, https://doi.org/10.1002/fsh.10350.","productDescription":"11 p.","startPage":"63","endPage":"73","ipdsId":"IP-097760","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":372309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada ","otherGeospatial":"Truckee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.53674316406249,\n              39.71986348549764\n            ],\n            [\n              -119.24011230468749,\n              39.71986348549764\n            ],\n            [\n              -119.24011230468749,\n              39.8928799002948\n            ],\n            [\n              -119.53674316406249,\n              39.8928799002948\n            ],\n            [\n              -119.53674316406249,\n              39.71986348549764\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":222450,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":782178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heki, Lisa","contributorId":222451,"corporation":false,"usgs":false,"family":"Heki","given":"Lisa","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":782179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loux, Tim","contributorId":222452,"corporation":false,"usgs":false,"family":"Loux","given":"Tim","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":782180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peka, Roger","contributorId":222453,"corporation":false,"usgs":false,"family":"Peka","given":"Roger","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":782181,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204875,"text":"70204875 - 2019 - Life history, genetics, range expansion and new frontiers of the lionfish (Pterois volitans, Perciformes: Pteroidae) in Latin America","interactions":[],"lastModifiedDate":"2019-08-21T10:09:52","indexId":"70204875","displayToPublicDate":"2019-08-11T09:52:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5094,"text":"Regional Studies in Marine Science","onlineIssn":"2352-4855","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Life history, genetics, range expansion and new frontiers of the lionfish (<i>Pterois volitans</i>, Perciformes: Pteroidae) in Latin America","title":"Life history, genetics, range expansion and new frontiers of the lionfish (Pterois volitans, Perciformes: Pteroidae) in Latin America","docAbstract":"<p><i>Pterois volitans</i><span>&nbsp;(lionfish) is a midsize predatory fish commonly found in waters of the western Pacific and Indian Ocean. The species was first documented in Dania Beach, Florida (northwestern Caribbean) in 1985. Since that time the species has expanded its range rapidly to the Northwestern Atlantic Ocean, Gulf of Mexico, and Caribbean Sea. Since its introduction&nbsp;</span><i>P. volitans</i><span>&nbsp;has changed community structure and biodiversity of Caribbean reef communities and other coastal tropical ecosystems. Continuous introductions (accidental or intentional), limited natural predators, naïve-range prey behavior, high predation rates on competitors, continuous reproduction, and an extended period of larval dispersal have been the keys for successful invasion and rapid range extension of&nbsp;</span><i>P. volitans</i><span>. This invasion has become so severe that it has been recognized as one of the world’s top conservation issues. Here, we review the life history, behavior, and historical and contemporary genetic patterns that facilitate expansion and the colonization process. A greater understanding of lionfish biology, ecology, and the changes related to its present condition as a super-invader could improve current and future management strategies and new detection and response methodologies. We also examine new invasion frontiers that this species has the potential to colonize such as the eastern Pacific. This information will provide managers, the scientific community, and the civil society better tools for eradication, control and management of future invasions of this and other invasive species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsma.2019.100793","usgsCitation":"Diaz-Ferguson, E., and Hunter, M., 2019, Life history, genetics, range expansion and new frontiers of the lionfish (Pterois volitans, Perciformes: Pteroidae) in Latin America: Regional Studies in Marine Science, v. 31, 100793, 8 p., https://doi.org/10.1016/j.rsma.2019.100793.","productDescription":"100793, 8 p.","ipdsId":"IP-107162","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":366779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahamas, Belize, Bermuda, Cayman Islands, Colombia, Costa Rica, Cuba, Dominian Republic, Haiti, Honduras, Jamaica, Mexico, 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0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":207584,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":768849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70205112,"text":"70205112 - 2019 - The effects of restored hydrologic connectivity on floodplain trapping vs. release of phosphorus, nitrogen, and sediment along the Pocomoke River, Maryland USA","interactions":[],"lastModifiedDate":"2019-09-03T17:34:57","indexId":"70205112","displayToPublicDate":"2019-08-09T17:24:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"The effects of restored hydrologic connectivity on floodplain trapping vs. release of phosphorus, nitrogen, and sediment along the Pocomoke River, Maryland USA","docAbstract":"River channelization and artificial levees have decreased the hydrologic connectivity of river-floodplain systems around the world. In response, restoration through enhancing connectivity has been advocated to improve the functions of floodplains, but uncertain benefits and the possibility of phosphate release from re-flooded soils has limited implementation. In this study, we measured change in floodplain P, N, and sediment mass balances after restoration along channelized reaches in the lowland Pocomoke River, Maryland USA. Two floodplains (one headwater, one mainstem) restored through partial levee breaches were compared to two additional mainstem floodplains (one natural unchannelized, one unrestored channelized). Potential soluble reactive P (SRP) release from soil cores during experimental laboratory floods; soil P, Fe, and Al fractionation; and deposition and P and N content of sediment were measured before and after the restoration period, as well as in situ inputs and release of SRP and dissolved inorganic N from soils after restorations. Potential SRP release, during both the before and after restoration period, was greatest at the channelized mainstem and restored mainstem sites, lower at the restored headwater site, and small at the natural mainstem site. Both restored sites had smaller potential SRP release after restoration compared to before restoration. In situ SRP release slightly exceeded inputs to soils at connected sites during the post-restoration period, with less net release at the restored sites compared to the natural mainstem site. The magnitude of gross and net SRP release from soils in the field was smaller than, and uncorrelated with, potential SRP release estimated from laboratory experimental floods. Gross soil SRP release rates in the field were predictable using the ratio of soil oxalate-extractable P/Al. Sedimentation inputs of P and N increased at all sites during the post-restoration period, with rates at restored sites intermediate compared to the much higher rates at the natural mainstem site and somewhat lower rates at the channelized mainstem site. These sediment inputs of nutrients were much larger than rates of inorganic P and N release from soils, indicating net trapping of P and N after restoration. Restoring floodplain hydrologic connectivity showed moderate success at increasing the trapping of P, N, and sediment, with relatively little phosphate release, and therefore improving water quality.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2019.08.002","usgsCitation":"Noe, G.E., Boomer, K., Gillespie, J., Hupp, C.R., Martin-Alciati, M., Floro, K., Schenk, E.R., Jacobs, A.K., and Strano, S., 2019, The effects of restored hydrologic connectivity on floodplain trapping vs. release of phosphorus, nitrogen, and sediment along the Pocomoke River, Maryland USA: Ecological Engineering, v. 138, p. 334-352, https://doi.org/10.1016/j.ecoleng.2019.08.002.","productDescription":"19 p.","startPage":"334","endPage":"352","ipdsId":"IP-106687","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2019.08.002","text":"Publisher Index Page"},{"id":367160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Pocomoke River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.5859375,\n              38.0091482264894\n            ],\n            [\n              -75.3717041015625,\n              38.08268954483802\n            ],\n            [\n              -75.29891967773438,\n              38.13887716726548\n            ],\n            [\n              -75.19454956054688,\n              38.28885871419223\n            ],\n            [\n              -75.2838134765625,\n              38.43960662292255\n            ],\n            [\n              -75.35110473632812,\n              38.4514377951069\n            ],\n            [\n              -75.4046630859375,\n              38.4514377951069\n            ],\n            [\n              -75.43899536132812,\n              38.429925130409366\n            ],\n            [\n              -75.53237915039062,\n              38.24680876017446\n            ],\n            [\n              -75.61203002929688,\n              38.212288054388175\n            ],\n            [\n              -75.68206787109375,\n              38.04052046968823\n            ],\n            [\n              -75.66696166992186,\n              37.96152331396614\n            ],\n            [\n              -75.5859375,\n              38.0091482264894\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"138","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":770071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boomer, Kathy","contributorId":218733,"corporation":false,"usgs":false,"family":"Boomer","given":"Kathy","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":770072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gillespie, Jaimie 0000-0002-6483-0359","orcid":"https://orcid.org/0000-0002-6483-0359","contributorId":202016,"corporation":false,"usgs":true,"family":"Gillespie","given":"Jaimie","email":"","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":770073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":770074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin-Alciati, Mario 0000-0003-3094-2843","orcid":"https://orcid.org/0000-0003-3094-2843","contributorId":218734,"corporation":false,"usgs":true,"family":"Martin-Alciati","given":"Mario","email":"","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":770075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Floro, Kelly","contributorId":218735,"corporation":false,"usgs":false,"family":"Floro","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":770076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schenk, Edward R.","contributorId":202018,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward","email":"","middleInitial":"R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":770077,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobs, Amy K.","contributorId":174754,"corporation":false,"usgs":false,"family":"Jacobs","given":"Amy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":770078,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Strano, Steve","contributorId":218736,"corporation":false,"usgs":false,"family":"Strano","given":"Steve","email":"","affiliations":[{"id":13501,"text":"USDA NRCS","active":true,"usgs":false}],"preferred":false,"id":770079,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70228058,"text":"70228058 - 2019 - Soil chemistry, and not short-term (1–2 year) deer exclusion, explains understory plant occupancy in forests affected by acid deposition","interactions":[],"lastModifiedDate":"2022-02-03T15:35:42.120801","indexId":"70228058","displayToPublicDate":"2019-08-09T09:25:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5538,"text":"AoB PLANTS","active":true,"publicationSubtype":{"id":10}},"title":"Soil chemistry, and not short-term (1–2 year) deer exclusion, explains understory plant occupancy in forests affected by acid deposition","docAbstract":"<p><span>The loss of species diversity and plant community structure throughout the temperate deciduous forests of North America have often been attributed to overbrowsing by white-tailed deer (</span><i>Odocoileus virginanus</i><span>). Slow species recovery following removal from browsing, or reduction in deer density, has been termed a legacy effect of past deer herbivory. However, vegetation legacy effects have also coincided with changes to soil chemistry throughout the north-eastern USA. In this paper, we assess the viability of soil chemistry (i.e. pH, extractable nutrients and extractable metals) and other factors (topography, light, overstory basal area and location) as alternative explanations for a lack of vegetation recovery. We compared the relative effects of soil chemistry, site conditions and short-term (1–2 year) deer exclusion on single-species occupancy probabilities of 10 plant taxa common to oak-hickory forests in central Pennsylvania. We found detection for all modelled species was constant and high (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mstyle xmlns=&quot;&quot; displaystyle=&quot;false&quot;><mrow><mover accent=&quot;true&quot;><mi>p</mi><mo stretchy=&quot;false&quot;>^</mo></mover></mrow></mstyle></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mstyle\"><span id=\"MathJax-Span-4\" class=\"mrow\"><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"mover\"><span id=\"MathJax-Span-7\" class=\"mi\">p</span><span id=\"MathJax-Span-8\" class=\"mo\">^</span></span></span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">p^</span></span></span><span>&nbsp;&gt; 0.65), and occupancy probability of most taxa was best explained by at least one soil chemistry parameter. Specifically, ericaceous competing vegetation was more likely to occupy acidic (pH &lt; 3.5), base cation-poor (K &lt; 0.20 cmol</span><sub>c</sub><span>&nbsp;kg</span><sup>−1</sup><span>) sites, while deer-preferred plants were less likely to occur when soil manganese exceeded 0.1 cmol</span><sub>c</sub><span>&nbsp;kg</span><sup>−1</sup><span>. Short-term deer exclusion did not explain occupancy of any plant taxon, and site conditions were of nominal importance. This study demonstrates the importance of soil chemistry in shaping plant community composition in the north-central Appalachians, and suggests soil as an alternative, or additional, explanation for deer vegetation legacy effects. We suggest that the reliance on phyto-indicators of deer browsing effects may overestimate the effects of browsing if those species are also limited by unfavourable soil conditions. Future research should consider study designs that address the complexity of deer forest interactions, especially in areas with complex site-vegetation histories.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/aobpla/plz044","usgsCitation":"Begley-Miller, D.R., Diefenbach, D.R., McDill, M.E., Drohan, P.J., Rosenberry, C.S., and Just Domoto, E.H., 2019, Soil chemistry, and not short-term (1–2 year) deer exclusion, explains understory plant occupancy in forests affected by acid deposition: AoB PLANTS, v. 11, no. 5, pls044, 15 p., https://doi.org/10.1093/aobpla/plz044.","productDescription":"pls044, 15 p.","ipdsId":"IP-099980","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/aobpla/plz044","text":"Publisher Index Page"},{"id":395351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Bald Eagle State Forest, Rothrock State Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.15835571289062,\n              40.88963898943264\n            ],\n            [\n              -76.86172485351562,\n              41.089702205437405\n            ],\n            [\n              -76.93588256835938,\n              41.11557271185201\n            ],\n            [\n              -77.08969116210938,\n              41.12798693490564\n            ],\n            [\n              -77.22015380859375,\n              41.18692242290296\n            ],\n            [\n              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drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDill, Marc E.","contributorId":274414,"corporation":false,"usgs":false,"family":"McDill","given":"Marc","email":"","middleInitial":"E.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":832984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drohan, Patrick J.","contributorId":274416,"corporation":false,"usgs":false,"family":"Drohan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":832985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Christopher S.","contributorId":274418,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":56616,"text":"PA Game Commission","active":true,"usgs":false}],"preferred":false,"id":832986,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Just Domoto, Emily H.","contributorId":274421,"corporation":false,"usgs":false,"family":"Just Domoto","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":56618,"text":"PA Dept of Conservation and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":832987,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70216451,"text":"70216451 - 2019 - Genomic identity of white oak species in an eastern North American syngameon","interactions":[],"lastModifiedDate":"2020-11-18T16:23:42.581442","indexId":"70216451","displayToPublicDate":"2019-08-08T10:17:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":800,"text":"Annals of the Missouri Botanical Garden","active":true,"publicationSubtype":{"id":10}},"title":"Genomic identity of white oak species in an eastern North American syngameon","docAbstract":"<p><span>The eastern North American white oaks, a complex of approximately 16 potentially interbreeding species, have become a classic model for studying the genetic nature of species in a syngameon. Genetic work over the past two decades has demonstrated the reality of oak species, but gene flow between sympatric oaks raises the question of whether there are conserved regions of the genome that define oak species. Does gene flow homogenize the entire genome? Do the regions of the genome that distinguish a species in one part of its range differ from the regions that distinguish it in other parts of its range, where it grows in sympatry with</span><br><span>different species? Or are there regions of the genome that are relatively conserved across species ranges? In this study, we revisit seven species of the eastern North American white oak syngameon using a set of 80 single-nucleotide polymorphisms (SNPs) selected in a previous study because they show differences among, and consistency within, the species. We test the hypothesis that there exist segments of the genome that do not become homogenized by repeated introgression, but retain distinct alleles characteristic of each species. We undertake a range-wide sampling to investigate whether SNPs that appeared to be fixed based on a relatively small sample in our previous work are fixed or nearly fixed across the range of the species. Each of the seven species remains genetically distinct across its range, given our diagnostic set of markers, with relatively few individuals exhibiting admixture of multiple species. SNPs map back to all 12&nbsp;</span><i>Quercus</i><span>&nbsp;linkage groups (chromosomes) and are separated from each other by an average of 7.47 million bp (± 8.74 million bp, SD), but are significantly clustered relative to a random null distribution, suggesting that our SNP toolkit reflects genome-wide patterns of divergence while potentially being concentrated in regions of the genome that reflect a higher-than-average history of among-species divergence. This application of a DNA toolkit designed for the simple problem of identifying species in the field has two important implications. First, the eastern North American white oak syngameon is composed of entities that most taxonomists would consider “good species.” Second, and more fundamentally, species in the syngameon are genetically coherent because characteristic portions of the genome remain divergent despite a history of introgression. Understanding the conditions under which some loci diverge while others introgress is key to understanding the origins and maintenance of global tree diversity.</span></p>","language":"English","publisher":"Missouri Botanical Garden Press","doi":"10.3417/2019434","usgsCitation":"Hipp, A., Whittemore, A.T., Garner, M., Hahn, M., Fitzek, E., Guichoux, E., Cavender-Bares, J., Gugger, P.F., Manos, P., Pearse, I., and Cannon, C., 2019, Genomic identity of white oak species in an eastern North American syngameon: Annals of the Missouri Botanical Garden, v. 104, no. 3, p. 455-477, https://doi.org/10.3417/2019434.","productDescription":"23 p.","startPage":"455","endPage":"477","ipdsId":"IP-106440","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467382,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3417/2019434","text":"Publisher Index Page"},{"id":380600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Estern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.62109375,\n              45.213003555993964\n            ],\n            [\n              -69.78515625,\n              47.635783590864854\n            ],\n            [\n              -78.662109375,\n              46.73986059969267\n            ],\n            [\n              -82.880859375,\n              46.437856895024204\n            ],\n            [\n              -91.14257812499999,\n              49.38237278700955\n            ],\n            [\n              -97.3828125,\n              50.401515322782366\n            ],\n 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Mira","contributorId":219593,"corporation":false,"usgs":false,"family":"Garner","given":"Mira","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":805156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hahn, Marlene","contributorId":245007,"corporation":false,"usgs":false,"family":"Hahn","given":"Marlene","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":805157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzek, Elisabeth","contributorId":245008,"corporation":false,"usgs":false,"family":"Fitzek","given":"Elisabeth","email":"","affiliations":[{"id":49053,"text":"Universitaet Bielefeld","active":true,"usgs":false}],"preferred":false,"id":805158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guichoux, Erwan","contributorId":245009,"corporation":false,"usgs":false,"family":"Guichoux","given":"Erwan","email":"","affiliations":[{"id":49054,"text":"INRA - France","active":true,"usgs":false}],"preferred":false,"id":805159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cavender-Bares, Jeannine","contributorId":219596,"corporation":false,"usgs":false,"family":"Cavender-Bares","given":"Jeannine","email":"","affiliations":[{"id":40035,"text":"U Minnesota","active":true,"usgs":false}],"preferred":false,"id":805160,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gugger, Paul F.","contributorId":206006,"corporation":false,"usgs":false,"family":"Gugger","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":805161,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Manos, Paul","contributorId":219597,"corporation":false,"usgs":false,"family":"Manos","given":"Paul","email":"","affiliations":[{"id":40036,"text":"Duke U.","active":true,"usgs":false}],"preferred":false,"id":805162,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":805163,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cannon, Chuck","contributorId":245010,"corporation":false,"usgs":false,"family":"Cannon","given":"Chuck","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":805164,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70205609,"text":"70205609 - 2019 - Streamflow reconstruction in the Upper Missouri River Basin using a novel Bayesian network model","interactions":[],"lastModifiedDate":"2019-11-13T13:41:56","indexId":"70205609","displayToPublicDate":"2019-08-08T09:53:01","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":"Streamflow reconstruction in the Upper Missouri River Basin using a novel Bayesian network model","docAbstract":"A Bayesian model that uses the spatial dependence induced by the river network topology, and the leading principal components of regional tree-ring chronologies for paleo-streamflow reconstruction is presented.  In any river basin, a convergent, dendritic network of tributaries comes together to form the main stem of a river.  Consequently, it is natural to think of a spatial Markov process that recognizes this topological structure to develop a spatially consistent basin-scale streamflow reconstruction model that uses the information in streamflow and tree-ring chronology data to inform the reconstructed flows, while maintaining the space-time correlation structure of flows that is critical for water resource assessments and management. Given historical data from multiple streamflow gauges along a river, their tributaries in a watershed, and regional tree-ring chronologies, the model is fit and used to simultaneously reconstruct the full network of paleo-streamflow at all gauges in the basin progressing upstream to downstream along the river. The spatial network structure allows a substantial reduction in the uncertainty associated with paleo-streamflow as one proceeds downstream in the network and the spatial dependence structure increases the information content. Our application to eighteen streamflow gauges in the Upper Missouri River Basin shows that the mean adjusted-R2 for the basin is approximately 0.5 with good overall cross-validated skill as measured by five different skill metrics. A comparison with the traditional principal components regression shows that the spatial Bayesian model offers improvements, as downstream gauges are informed by the reconstruction of the upstream gauges, as well as the tree-ring chronologies.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019WR024901","usgsCitation":"Ravindranath, A., Devineni, N., Lall, U., Cook, E., Pederson, G.T., Martin, J.T., and Woodhouse, C.A., 2019, Streamflow reconstruction in the Upper Missouri River Basin using a novel Bayesian network model: Water Resources Research, v. 55, no. 9, p. 7694-7716, https://doi.org/10.1029/2019WR024901.","productDescription":"23 p.","startPage":"7694","endPage":"7716","ipdsId":"IP-104913","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr024901","text":"Publisher Index Page"},{"id":367776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"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              -115.0,\n              48.5\n            ],\n            [\n              -104.5,\n              48.5\n            ],\n            [\n              -104.5,\n              42.0\n            ],\n            [\n              -115.0,\n              42.0\n            ],\n            [\n              -115.0,\n              48.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Ravindranath, Arun","contributorId":219272,"corporation":false,"usgs":false,"family":"Ravindranath","given":"Arun","email":"","affiliations":[{"id":39562,"text":"City University of New York","active":true,"usgs":false}],"preferred":false,"id":771848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devineni, Naresh","contributorId":219273,"corporation":false,"usgs":false,"family":"Devineni","given":"Naresh","email":"","affiliations":[{"id":39562,"text":"City University of New York","active":true,"usgs":false}],"preferred":false,"id":771849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lall, Upmanu 0000-0003-0529-8128","orcid":"https://orcid.org/0000-0003-0529-8128","contributorId":212142,"corporation":false,"usgs":false,"family":"Lall","given":"Upmanu","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":771850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Edward","contributorId":197078,"corporation":false,"usgs":false,"family":"Cook","given":"Edward","affiliations":[],"preferred":false,"id":771851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":771847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":771852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":771853,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204637,"text":"70204637 - 2019 - Bloom forming cyanobacteria can adversely affect zebra and quagga mussel veligers","interactions":[],"lastModifiedDate":"2019-08-12T09:28:24","indexId":"70204637","displayToPublicDate":"2019-08-08T08:55:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Bloom forming cyanobacteria can adversely affect zebra and quagga mussel veligers","docAbstract":"<p><span>Quagga (</span><i>Dreissena rostriformis bugensis</i><span>) and zebra (</span><i>D. polymorpha</i><span>) mussels are broadcast spawners that produce planktonic, free swimming veligers, a life history strategy dissimilar to native North American freshwater bivalves. Dreissenid veligers require highly nutritious food to grow and survive, and thus may be susceptible to increased mortality rates during harsh environmental conditions like cyanobacteria blooms. However, the impact of cyanobacteria and one of the toxins they can produce (microcystin) has not been evaluated in dreissenid veligers. Therefore, we exposed dreissenid veligers to eleven distinct cultures (isolates) of cyanobacteria representing&nbsp;</span><i>Anabaena, Aphanizomenon, Dolichospermum, Microcystis,</i><span>&nbsp;and&nbsp;</span><i>Planktothrix</i><span>species and the cyanotoxin microcystin to determine the lethality of cyanobacteria on dreissenid veligers. Six-day laboratory bioassays were performed in microplates using dreissenid veligers collected from the Detroit River, Michigan, USA. Veligers were exposed to increasing concentrations of cyanobacteria and microcystin using the green algae&nbsp;</span><i>Chlorella minutissima</i><span>&nbsp;as a control. Based on dose response curves formulated from a Probit model, the LC</span><sub>50</sub><span>&nbsp;values for cyanobacteria used in this study range between 15.06 and 135.06 μg/L chlorophyll-</span><i>a</i><span>, with the LC</span><sub>50</sub><span>&nbsp;for microcystin-LR at 13.03 μg/L. Because LC</span><sub>50</sub><span>&nbsp;values were within ranges observed in natural waterbodies, it is possible that dreissenid recruitment may be suppressed when veliger abundances overlap with seasonal cyanobacteria blooms. Thus, the toxicity of cyanobacteria to dreissenid veligers may be useful to include in models forecasting dreissenid mussel abundance and spread.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2019.109426","usgsCitation":"Boegehold, A.G., Johnson, N., and Kashian, D.R., 2019, Bloom forming cyanobacteria can adversely affect zebra and quagga mussel veligers: Ecotoxicology and Environmental Safety, v. 182, Article 109426, https://doi.org/10.1016/j.ecoenv.2019.109426.","productDescription":"Article 109426","ipdsId":"IP-109520","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2019.109426","text":"Publisher Index Page"},{"id":366365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"182","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boegehold, Anna G.","contributorId":205600,"corporation":false,"usgs":false,"family":"Boegehold","given":"Anna","email":"","middleInitial":"G.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":767856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":767855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kashian, Donna R.","contributorId":205602,"corporation":false,"usgs":false,"family":"Kashian","given":"Donna","email":"","middleInitial":"R.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":767857,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204700,"text":"70204700 - 2019 - Earlier plant growth helps compensate for reduced carbon fixation after 13 years of warming","interactions":[],"lastModifiedDate":"2019-11-13T13:29:22","indexId":"70204700","displayToPublicDate":"2019-08-07T12:19:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Earlier plant growth helps compensate for reduced carbon fixation after 13 years of warming","docAbstract":"<p>1. Drylands play a dominant role in global carbon cycling and are particularly vulnerable to increasing temperatures, but our understanding of how dryland ecosystems will respond to climatic change remains notably poor. Considering that the area of drylands is projected to increase 11–23% by 2100, understanding the impacts of warming on the functions and services furnished by these arid and semiarid ecosystems has numerous implications.</p><p>2.In a unique 13‐year ecosystem warming experiment in a southwestern U.S. dryland, we investigated the consequences of rising temperature on<span>&nbsp;</span><i>Achnatherum hymenoides</i>, a widespread, keystone grass species on the Colorado Plateau. We tracked individual‐ and population‐level responses to identify optimal strategies that may have been masked if considering only one level of plant response.</p><p>3.We found several factors combined to affect the timing and magnitude of plant responses during the 13<sup>th</sup><span>&nbsp;</span>year of warming. These included large warming‐induced biomass increases for individual plants, an 8.5‐day advancement in the growing season, and strong reductions in photosynthetic rates and population cover.</p><p>4.Importantly, we observed a lack of photosynthetic acclimation and, thus, a warming‐induced down regulation of photosynthetic rates. However, these physiological responses were concurrent with warmed‐plant increases in growing season length and investment in photosynthetic surfaces, demonstrating the species' ability to balance carbon fixation limitations with warming.</p><p>5.These results, which bring together ecophysiological, phenological, reproductive, and morphological assessments of plant responses to warming, suggest that the extent of change in<span>&nbsp;</span><i>A. hymenoides</i><span>&nbsp;</span>populations will be based upon numerous adaptive responses that vary in their direction and magnitude. Plant population responses to climatic warming remain poorly resolved, particularly for Earth's drylands, and our<span>&nbsp;</span><i>in situ&nbsp;</i>experiment assessing multiple strategies offers a novel look into a warmer world.</p>","language":"English","publisher":"Wiley-Blackwell on behalf of the British Ecological Society (United Kingdom)","doi":"10.1111/1365-2435.13432","usgsCitation":"Winkler, D.E., Grossiord, C., Belnap, J., Howell, A.J., Ferrenberg, S., Smith, H.J., and Reed, S.C., 2019, Earlier plant growth helps compensate for reduced carbon fixation after 13 years of warming: Functional Ecology, v. 33, no. 11, p. 2071-2080, https://doi.org/10.1111/1365-2435.13432.","productDescription":"10 p.","startPage":"2071","endPage":"2080","ipdsId":"IP-105655","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467386,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.13432","text":"Publisher Index Page"},{"id":366445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado Plateau Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.50210571289062,\n              38.63725461835644\n            ],\n            [\n              -109.11346435546874,\n              38.63725461835644\n            ],\n            [\n              -109.11346435546874,\n              38.81617117607388\n            ],\n            [\n              -109.50210571289062,\n              38.81617117607388\n            ],\n            [\n              -109.50210571289062,\n              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Laboratory","active":true,"usgs":false}],"preferred":false,"id":768116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":768117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howell, Armin J. 0000-0003-1243-0238 ahowell@usgs.gov","orcid":"https://orcid.org/0000-0003-1243-0238","contributorId":196798,"corporation":false,"usgs":true,"family":"Howell","given":"Armin","email":"ahowell@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":768118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrenberg, Scott","contributorId":217143,"corporation":false,"usgs":false,"family":"Ferrenberg","given":"Scott","affiliations":[{"id":39569,"text":"Department of Biology, New Mexico State University, Las Cruces, NM 88001, USA","active":true,"usgs":false}],"preferred":false,"id":768119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Hilda J. 0000-0001-5775-1401 hsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-5775-1401","contributorId":4469,"corporation":false,"usgs":true,"family":"Smith","given":"Hilda","email":"hsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":768120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":768121,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204917,"text":"70204917 - 2019 - Loggerhead sea turtle (Caretta caretta) diving changes with productivity, behavioral mode, and sea surface temperature","interactions":[],"lastModifiedDate":"2019-08-26T09:41:22","indexId":"70204917","displayToPublicDate":"2019-08-07T11:30:49","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}},"displayTitle":"Loggerhead sea turtle (<i>Caretta caretta</i>) diving changes with productivity, behavioral mode, and sea surface temperature","title":"Loggerhead sea turtle (Caretta caretta) diving changes with productivity, behavioral mode, and sea surface temperature","docAbstract":"<p>The relationship between dive behavior and oceanographic conditions is not well understood for marine predators, especially sea turtles. We tagged loggerhead turtles (<i>Caretta caretta</i>) with satellite-linked depth loggers in the Gulf of Mexico, where there is a minimal amount of dive data for this species. We tested for associations between four measurements of dive behavior (total daily dive frequency, frequency of dives to the bottom, frequency of long dives and time-at-depth) and both oceanographic conditions (sea surface temperature [SST], net primary productivity [NPP]) and behavioral mode (inter-nesting, migration, or foraging). From 2011–2013 we obtained 26 tracks from 25 adult female loggerheads tagged after nesting in the Gulf of Mexico. All turtles remained in the Gulf of Mexico and spent about 10% of their time at the surface (10% during inter-nesting, 14% during migration, 9% during foraging). Mean total dive frequency was 41.9 times per day. Most dives were ≤ 25 m and between 30–40 min. During inter-nesting and foraging, turtles dived to the bottom 95% of days. SST was an important explanatory variable for all dive patterns; higher SST was associated with more dives per day, more long dives and more dives to the seafloor. Increases in NPP were associated with more long dives and more dives to the bottom, while lower NPP resulted in an increased frequency of overall diving. Longer dives occurred more frequently during migration and a higher proportion of dives reached the seafloor during foraging when SST and NPP were higher. Our study stresses the importance of the interplay between SST and foraging resources for influencing dive behavior.</p>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0220372","usgsCitation":"Iverson, A., Fujisaki, I., Lamont, M.M., and Hart, K., 2019, Loggerhead sea turtle (Caretta caretta) diving changes with productivity, behavioral mode, and sea surface temperature: PLoS ONE, v. 14, no. 8, e0220372, 19 p., https://doi.org/10.1371/journal.pone.0220372.","productDescription":"e0220372, 19 p.","ipdsId":"IP-101494","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467388,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0220372","text":"Publisher Index Page"},{"id":437371,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PY9YBZ","text":"USGS data release","linkHelpText":"Dive data for loggerhead sea 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Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":769007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamont, Margaret M. 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":218323,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218324,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769009,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206467,"text":"70206467 - 2019 - Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","interactions":[],"lastModifiedDate":"2023-06-21T15:28:30.150596","indexId":"70206467","displayToPublicDate":"2019-08-03T10:38:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","docAbstract":"<p><span>Influenza A viruses are one of the most significant viral groups globally with substantial impacts on human, domestic animal and wildlife health. Wild birds are the natural reservoirs for these viruses, and active surveillance within wild bird populations provides critical information about viral evolution forming the basis of risk assessments and countermeasure development. Unfortunately, active surveillance programs are often resource‐intensive, and thus, enhancing programs for increased efficiency is paramount. Machine learning, a branch of artificial intelligence applications, provides statistical learning procedures that can be used to gain novel insights into disease surveillance systems. We use a form of machine learning, gradient boosted trees, to estimate the probability of isolating avian influenza viruses (AIV) from wild bird samples collected during surveillance for AIVs from 2006 to 2011 in the United States. We examined several predictive features including age, sex, bird type, geographic location and matrix gene rRT‐PCR results. Our final model had high predictive power and only included geographic location and rRT‐PCR results as important predictors. The highest predicted viral isolation probability was for samples collected from the north‐central states and the south‐eastern region of Alaska. Lower rRT‐PCR Ct‐values are associated with increased likelihood of AIV isolation, and the model estimated 16% probability of isolating AIV from samples declared negative (i.e., ≥35 Ct‐value) using the rRT‐PCR screening test and standard protocols. Our model can be used to prioritize previously collected samples for isolation and rapidly evaluate AIV surveillance designs to maximize the probability of viral isolation given limited resources and laboratory capacity.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/tbed.13318","usgsCitation":"Walsh, D.P., Ma, T.F., Ip, S., and Zhu, J., 2019, Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses: Transboundary and Emerging Diseases, v. 66, no. 6, p. 2537-2545, https://doi.org/10.1111/tbed.13318.","productDescription":"9 p.; Data Release","startPage":"2537","endPage":"2545","ipdsId":"IP-109212","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467396,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/tbed.13318","text":"Publisher Index Page"},{"id":368966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418298,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96YJRWR"}],"volume":"66","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, Ting Fung","contributorId":220321,"corporation":false,"usgs":false,"family":"Ma","given":"Ting","email":"","middleInitial":"Fung","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":774747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":774749,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207963,"text":"70207963 - 2019 - Drinking water quality in the glacial aquifer system, northern USA","interactions":[],"lastModifiedDate":"2020-01-22T11:42:02","indexId":"70207963","displayToPublicDate":"2019-08-02T14:25:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5331,"text":"Science of Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Drinking water quality in the glacial aquifer system, northern USA","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\">Groundwater supplies 50% of drinking water worldwide, but compromised water quality from anthropogenic and geogenic contaminants can limit usage of groundwater as a drinking water source. Groundwater quality in the glacial aquifer system, USA (GLAC), is presented in the context of a hydrogeologic framework that divides the study area into 17 hydrogeologic terranes. Results are reported at aquifer-system scale and regional (terrane) scale. This paper presents a quantitative assessment of groundwater quality in the GLAC using data from numerous sources for samples collected 2005–2013, compared to health-based and aesthetic (non-health) benchmarks, and evaluated with areal and population metrics. Concentrations above a benchmark are considered high. Trace elements are widespread across the study area, with an estimated 5.7 million people relying on groundwater with high concentrations of one or more trace elements; manganese and arsenic are most often at high concentration. Nitrate is found at high concentration in 4.0% of the study area, serving about 740 thousand people. Organic compounds including pesticides and volatile organic compounds are high in 2.0% of the assessed study area, with about 870 thousand people relying on groundwater with high concentrations of an organic compound. High arsenic and manganese concentrations occur primarily in the terranes with thick, stratigraphically complex, fine-grained glacial sediment, coincident with groundwater under reducing conditions (indicated by iron concentrations &gt;100 μg/L); high nitrate is uncommon in those same terranes. When nitrate is high in thick, fine-grained, complex terranes, though, it is much more commonly associated with groundwater under more oxidizing conditions. Common geogenic trace elements occur at high concentration due to characteristic geologic and geochemical conditions. Conversely, anthropogenic nitrate and organic compounds are introduced at or near the land surface. High concentrations of nitrate or organic compounds are generally limited to areas in proximity where people live and use the chemicals.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.133735","usgsCitation":"Erickson, M., Yager, R.M., Kauffman, L.J., and Wilson, J.T., 2019, Drinking water quality in the glacial aquifer system, northern USA: Science of Total Environment, v. 694, 133735, 14 p., https://doi.org/10.1016/j.scitotenv.2019.133735.","productDescription":"133735, 14 p.","ipdsId":"IP-105846","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467397,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":779947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":779948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":779949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, John T. 0000-0001-6752-4069 jtwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-6752-4069","contributorId":1954,"corporation":false,"usgs":true,"family":"Wilson","given":"John","email":"jtwilson@usgs.gov","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":779950,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204647,"text":"70204647 - 2019 - Insect herbivores on urban native oak trees","interactions":[],"lastModifiedDate":"2019-10-31T11:44:33","indexId":"70204647","displayToPublicDate":"2019-08-01T11:44:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5882,"text":"International Oaks","active":true,"publicationSubtype":{"id":10}},"title":"Insect herbivores on urban native oak trees","docAbstract":"Oak trees host an amazing diversity of insects, many of which specialize on Quercus species. Oak species and genotypes are commonly planted far from where an acorn was produced. Urban plantings, restoration sites, and plantings anticipating climate change each cause this to happen. What evidence exists that provenance of oak plantings affects herbivores such as galls and leaf miners? And what other factors, such as weather, predators, urban forestry, and geographic isolation affect the populations of these insects? I present evidence from studies of oaks conducted at different scales. Provenance matters to herbivores -  but predominantly at large genetic scales. Aspects of the urban environment can help some herbivores of oak trees but hurt others.  Predators are of key importance to populations of gall wasps and leaf miners, and isolated trees can maintain a great diversity of galls and miners. Creating habitat for oak herbivores (at least the ones that do not kill trees) can be a great benefit of planting native oaks, and many of those insects are nearly as charismatic as their host trees!","language":"English","publisher":"International Oak Society","issn":"1941-2061","usgsCitation":"Pearse, I., 2019, Insect herbivores on urban native oak trees: International Oaks, v. 30, p. 101-108.","productDescription":"8 p.","startPage":"101","endPage":"108","ipdsId":"IP-103537","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":368820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pearse, Ian 0000-0001-7098-0495 ipearse@usgs.gov","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":217956,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","email":"ipearse@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":767907,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70205918,"text":"70205918 - 2019 - High-Resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana","interactions":[],"lastModifiedDate":"2019-10-10T07:22:23","indexId":"70205918","displayToPublicDate":"2019-08-01T07:21:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"High-Resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana","docAbstract":"This study estimates herbaceous and forested wetland coverage and aboveground biomass (AGB) within the Atchafalaya and Terrebonne coastal basins representing sediment rich and sediment poor coastal regions of southern Louisiana. Louisiana coastal wetlands account for approximately one third (37%) of the estuarine wetland area in the conterminous United States, yet the spatial distribution of their extent and aboveground biomass estimates are not well defined.  Despite the importance of Louisiana’s coastal wetlands, existing maps on their extent are often outdated yet repeatedly used in national greenhouse gas (GHG) inventories and within regional aboveground biomass and carbon content estimates. Sentinel-2 optical satellite data was used within an object-oriented machine learning approach to classify wetland extent, mapping the spatial distribution of the coastal wetlands at high-resolution. A total wetland extent of 2950 km2  was mapped during a period of peak biomass in September 2017, comprised of forested and herbaceous wetlands (accuracy >90%) and demonstrated considerable differences (793.7 km2) from currently available estimates of wetland area.  The distribution of aboveground biomass (AGB) was mapped using class averaged values derived from field data collected during May and September 2015. Total herbaceous biomass at the study site increased by 108.9% from May (668,684.5 Mg) to September (1,396,969.2 Mg) whilst the total woody vegetation biomass (27,667,232.1 Mg) was sampled in May only. This method provides a tractable means of mapping wetland extent and biomass, in a region threatened with wetland loss under projections of increasing sea-level rise and local subsidence.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2019.03.013","usgsCitation":"Nathan Thomas, Marc Simard, Castaneda-Moya, E., Byrd, K.B., Windham-Myers, L., Bevington, A., and Robert Twilley, 2019, High-Resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana: International Journal of Applied Earth Observation and Geoinformation, v. 80, p. 257-267, https://doi.org/10.1016/j.jag.2019.03.013.","productDescription":"11 p.","startPage":"257","endPage":"267","ipdsId":"IP-106608","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467401,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://research.edgehill.ac.uk/en/publications/6eb751c5-88f0-4db8-bac2-7a4c4c72320d","text":"Publisher Index Page"},{"id":368192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.71337890625,\n              28.8831596093235\n            ],\n            [\n              -88.83544921874999,\n              28.8831596093235\n            ],\n            [\n              -88.83544921874999,\n              30.088107753367257\n            ],\n            [\n              -93.71337890625,\n              30.088107753367257\n            ],\n            [\n              -93.71337890625,\n              28.8831596093235\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"80","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nathan Thomas","contributorId":219689,"corporation":false,"usgs":false,"family":"Nathan Thomas","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":772877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marc Simard","contributorId":204127,"corporation":false,"usgs":false,"family":"Marc Simard","affiliations":[{"id":33580,"text":"NASA-JPL","active":true,"usgs":false}],"preferred":false,"id":772878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castaneda-Moya, Edward","contributorId":219690,"corporation":false,"usgs":false,"family":"Castaneda-Moya","given":"Edward","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":772879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":772876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Windham-Myers, Lisamarie","contributorId":219691,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":772880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bevington, Azure","contributorId":219692,"corporation":false,"usgs":false,"family":"Bevington","given":"Azure","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":772881,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robert Twilley","contributorId":219693,"corporation":false,"usgs":false,"family":"Robert Twilley","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":772882,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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