{"pageNumber":"864","pageRowStart":"21575","pageSize":"25","recordCount":184606,"records":[{"id":70227908,"text":"70227908 - 2018 - Characteristics of successful volunteer-led urban forest tree committees in Massachusetts","interactions":[],"lastModifiedDate":"2022-02-02T20:05:47.075662","indexId":"70227908","displayToPublicDate":"2018-05-02T13:52:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10078,"text":"Urban Forestry & Urban Greening","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of successful volunteer-led urban forest tree committees in Massachusetts","docAbstract":"<p><span>Citizen engagement through urban&nbsp;</span><a class=\"topic-link\" title=\"Learn more about Forest Trees from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/forest-trees\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/forest-trees\">forest tree</a><span>&nbsp;committee volunteer service may aid in providing essential experience, ideas, and skills that support municipal tree management. Using semi-structured, research interviews with tree committee (TC) representatives from across the Commonwealth of Massachusetts, this study addresses current knowledge gaps concerning the general composition, processes, and relationships of volunteer-led urban forest tree committees. Our findings indicate that TC representatives are typically motivated, passionate volunteers who generally desire to work cooperatively with the many associations, organizations, and agencies that comprise the local socio-political landscape. Our findings also indicate it is important that TC representatives make a sustained, concerted effort to work collaboratively with their local tree warden to advance the care of their community’s urban trees. Furthermore, it is also essential that municipal managers and decision-makers attempt to provide TC volunteers with appropriate training opportunities, resources, as well as demonstrate appreciation, to further encourage and solidify volunteer-engagement in urban forestry at the local level.</span></p>","language":"English","doi":"10.1016/j.ufug.2018.07.006","usgsCitation":"Harper, R.W., Huff, E.S., Bloniarz, D.V., Destefano, S., and Craig R. Nicolson, 2018, Characteristics of successful volunteer-led urban forest tree committees in Massachusetts: Urban Forestry & Urban Greening, v. 34, p. 311-317, https://doi.org/10.1016/j.ufug.2018.07.006.","productDescription":"7 p.","startPage":"311","endPage":"317","ipdsId":"IP-094571","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","volume":"34","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harper, Richard W.","contributorId":273082,"corporation":false,"usgs":false,"family":"Harper","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huff, Emily S.","contributorId":273083,"corporation":false,"usgs":false,"family":"Huff","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":832562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloniarz, David V.","contributorId":273084,"corporation":false,"usgs":false,"family":"Bloniarz","given":"David","email":"","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Destefano, Stephen 0000-0003-2472-8373","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":272197,"corporation":false,"usgs":true,"family":"Destefano","given":"Stephen","email":"","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Craig R. Nicolson","contributorId":273085,"corporation":false,"usgs":false,"family":"Craig R. Nicolson","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832564,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202867,"text":"70202867 - 2018 - Book review: Darwin's first theory: Exploring Darwin's quest for a theory of earth","interactions":[],"lastModifiedDate":"2019-04-03T13:39:06","indexId":"70202867","displayToPublicDate":"2018-05-02T13:24:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Darwin's first theory: Exploring Darwin's quest for a theory of earth","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"The Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","doi":"10.1190/tle37050388.1","usgsCitation":"Haines, S.S., 2018, Book review: Darwin's first theory: Exploring Darwin's quest for a theory of earth: The Leading Edge, v. 5, p. 389-390, https://doi.org/10.1190/tle37050388.1.","productDescription":"2 p.","startPage":"389","endPage":"390","ipdsId":"IP-092940","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":362656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":760339,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192837,"text":"70192837 - 2018 - Comment on \"Next-Generation Ice Core Technology Reveals True Minimum Natural Levels of lead (Pb) in the atmosphere: Insights from the Black Death\" by More et al.","interactions":[],"lastModifiedDate":"2019-03-27T15:13:28","indexId":"70192837","displayToPublicDate":"2018-05-02T10:10:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5050,"text":"Geohealth News","active":true,"publicationSubtype":{"id":10}},"title":"Comment on \"Next-Generation Ice Core Technology Reveals True Minimum Natural Levels of lead (Pb) in the atmosphere: Insights from the Black Death\" by More et al.","docAbstract":"<div class=\"article-section__content en short\"><ul class=\"unordered-list\"><li>Results and interpretation of the subject article are surprising and conflict with expectations about atmospheric deposition of lead (Pb)</li><li>Before interpretation of subject article is accepted a body of information about natural deposition of lead (Pb) must be considered</li><li>This body of information includes knowledge of volcano emissions, chemistry of natural dusts, and isotopes of lead (Pb)</li></ul></div>","language":"English","publisher":"AGU","doi":"10.1002/2017GH000105","usgsCitation":"Hinkley, T.K., 2018, Comment on \"Next-Generation Ice Core Technology Reveals True Minimum Natural Levels of lead (Pb) in the atmosphere: Insights from the Black Death\" by More et al.: Geohealth News, v. 2, no. 5, p. 150-154, https://doi.org/10.1002/2017GH000105.","productDescription":"5 p.","startPage":"150","endPage":"154","ipdsId":"IP-090060","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":460927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gh000105","text":"Publisher Index Page"},{"id":362370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hinkley, Todd K. 0000-0001-8507-6271 thinkley@usgs.gov","orcid":"https://orcid.org/0000-0001-8507-6271","contributorId":1497,"corporation":false,"usgs":true,"family":"Hinkley","given":"Todd","email":"thinkley@usgs.gov","middleInitial":"K.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":717143,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196806,"text":"70196806 - 2018 - Nest mortality of sagebrush songbirds due to a severe hailstorm","interactions":[],"lastModifiedDate":"2018-07-03T11:22:11","indexId":"70196806","displayToPublicDate":"2018-05-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Nest mortality of sagebrush songbirds due to a severe hailstorm","docAbstract":"<p><span>Demographic assessments of nesting birds typically focus on failures due to nest predation or brood parasitism. Extreme weather events such as hailstorms, however, can also destroy eggs and injure or kill juvenile and adult birds at the nest. We documented the effects of a severe hailstorm on 3 species of sagebrush-associated songbirds: Sage Thrasher (</span><i>Oreoscoptes montanus</i><span>), Brewer's Sparrow (</span><i>Spizella breweri</i><span>), and Vesper Sparrow (</span><i>Pooecetes gramineus</i><span>), nesting at eight 24 ha study plots in central Wyoming, USA. Across all plots, 17% of 128 nests failed due to the hailstorm; however, all failed nests were located at a subset of study plots (</span><i>n</i><span><span>&nbsp;</span>= 3) where the hailstorm was most intense, and 45% of all nests failures on those plots were due to hail. Mortality rates varied by species, nest architecture, and nest placement. Nests with more robust architecture and those sited more deeply under the shrub canopy were more likely to survive the hailstorm, suggesting that natural history traits may modulate mortality risk due to hailstorms. While sporadic in nature, hailstorms may represent a significant source of nest failure to songbirds in certain locations, especially with increasing storm frequency and severity forecasted in some regions with ongoing climate change.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/17-025.1","usgsCitation":"Hightower, J.N., Carlisle, J.D., and Chalfoun, A.D., 2018, Nest mortality of sagebrush songbirds due to a severe hailstorm: Wilson Journal of Ornithology, v. 130, no. 2, p. 561-567, https://doi.org/10.1676/17-025.1.","productDescription":"7 p.","startPage":"561","endPage":"567","ipdsId":"IP-084991","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":353911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c3e4b0da30c1bfbdec","contributors":{"authors":[{"text":"Hightower, Jessica N.","contributorId":204645,"corporation":false,"usgs":false,"family":"Hightower","given":"Jessica","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":734554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Jason D.","contributorId":204646,"corporation":false,"usgs":false,"family":"Carlisle","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196809,"text":"70196809 - 2018 - Bioactive contaminants of emerging concern in National Park waters of the northern Colorado Plateau, USA","interactions":[],"lastModifiedDate":"2018-05-02T11:32:49","indexId":"70196809","displayToPublicDate":"2018-05-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Bioactive contaminants of emerging concern in National Park waters of the northern Colorado Plateau, USA","docAbstract":"<p><span>Pharmaceuticals and personal care products (PPCPs), wastewater indicators (WWIs), and pesticides (herein, Contaminants of Emerging Concern [CECs]) have been documented in surface waters throughout the world and have associated risks to aquatic life. While much research has focused on temperate and urbanized watersheds, less is known about CEC presence in semi-arid landscapes, where water availability is limited and populations are low. CEC presence in water and sediment is reported for 21 sites in eight U.S. national parks in the northern Colorado Plateau region. From 2012 to 2016, at least one PPCP and/or WWI was detected at most sites on over half of sampling visits, indicating that CECs are not uncommon even in isolated areas. CEC detections were generally fewer and at lower concentrations than in urbanized or agricultural watersheds. Consistent with studies from other U.S. regions, the most frequently detected CECs in this study include DEET, caffeine, organophosphorus flame retardants, and bisphenol A in water and fecal indicators and polycyclic aromatic hydrocarbons in sediment. Maximum concentrations in this study were generally below available water quality benchmarks, sediment quality guidelines, and risk assessment thresholds associated with vertebrates. Additional work is needed to assess the potential activity of hormones, which had high reporting limits in our study, and potential bioactivity of environmental concentrations for invertebrates, microbial communities, and algae. Potential sources of CEC contamination include upstream wastewater effluent discharges and National Park Service invasive-plant-control herbicide applications. CEC occurrence patterns and similarities between continuous and isolated flow locations suggest that direct contamination from individual visitors may also occur. While our data indicate there is little aquatic health risk associated with CECs at our sites, our results demonstrate the ubiquity of CECs on the landscape and a continued need for public outreach concerning resource-use ethics and the potential effects of upstream development.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.04.332","usgsCitation":"Weissinger, R.H., Blackwell, B., Keteles, K., Battaglin, W., and Bradley, P.M., 2018, Bioactive contaminants of emerging concern in National Park waters of the northern Colorado Plateau, USA: Science of the Total Environment, v. 636, p. 910-918, https://doi.org/10.1016/j.scitotenv.2018.04.332.","productDescription":"9 p.","startPage":"910","endPage":"918","ipdsId":"IP-095083","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":460929,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6794149","text":"Publisher Index Page"},{"id":437924,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NP23PC","text":"USGS data release","linkHelpText":"Bioactive Contaminants of Emerging Concern in National Park Waters of the Northern Colorado Plateau, USA, 2012-2016"},{"id":353916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.2965087890625,\n              37.17344871200958\n            ],\n            [\n              -108.48999023437499,\n              37.17344871200958\n            ],\n            [\n              -108.48999023437499,\n              40.63479884404164\n            ],\n            [\n              -113.2965087890625,\n              40.63479884404164\n            ],\n            [\n              -113.2965087890625,\n              37.17344871200958\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"636","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c3e4b0da30c1bfbdea","contributors":{"authors":[{"text":"Weissinger, Rebecca H","contributorId":204637,"corporation":false,"usgs":false,"family":"Weissinger","given":"Rebecca","email":"","middleInitial":"H","affiliations":[{"id":36968,"text":"US National Parks Service","active":true,"usgs":false}],"preferred":false,"id":734538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":734539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keteles, Kristen","contributorId":200072,"corporation":false,"usgs":false,"family":"Keteles","given":"Kristen","email":"","affiliations":[],"preferred":false,"id":734540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglin, William A. 0000-0001-7287-7096","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":204638,"corporation":false,"usgs":true,"family":"Battaglin","given":"William A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":204639,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734542,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196805,"text":"70196805 - 2018 - Evaluating spatial and temporal variability in growth and mortality for recreational fisheries with limited catch data","interactions":[],"lastModifiedDate":"2018-08-31T11:00:41","indexId":"70196805","displayToPublicDate":"2018-05-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating spatial and temporal variability in growth and mortality for recreational fisheries with limited catch data","docAbstract":"<p><span>Understanding the spatial and temporal variability in life-history traits among populations is essential for the management of recreational fisheries. However, valuable freshwater recreational fish species often suffer from a lack of catch information. In this study, we demonstrated the use of an approach to estimate the spatial and temporal variability in growth and mortality in the absence of catch data and apply the method to riverine smallmouth bass (</span><i>Micropterus dolomieu</i><span>) populations in Pennsylvania, USA. Our approach included a growth analysis and a length-based analysis that estimates mortality. Using a hierarchical Bayesian approach, we examined spatial variability in growth and mortality by assuming parameters vary spatially but remain constant over time and temporal variability by assuming parameters vary spatially and temporally. The estimated growth and mortality of smallmouth bass showed substantial variability over time and across rivers. We explored the relationships of the estimated growth and mortality with spring water temperature and spring flow. Growth rate was likely to be positively correlated with these two factors, while young mortality was likely to be positively correlated with spring flow. The spatially and temporally varying growth and mortality suggest that smallmouth bass populations across rivers may respond differently to management plans and disturbance such as environmental contamination and land-use change. The analytical approach can be extended to other freshwater recreational species that also lack of catch data. The approach could also be useful in developing population assessments with erroneous catch data or be used as a model sensitivity scenario to verify traditional models even when catch data are available.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2017-0052","usgsCitation":"Li, Y., Wagner, T., Jiao, Y., Lorantas, R.M., and Murphy, C., 2018, Evaluating spatial and temporal variability in growth and mortality for recreational fisheries with limited catch data: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 9, p. 1436-1452, https://doi.org/10.1139/cjfas-2017-0052.","productDescription":"17 p.","startPage":"1436","endPage":"1452","ipdsId":"IP-084291","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468778,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99273","text":"External 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 \"}}]}","volume":"75","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c4e4b0da30c1bfbdee","contributors":{"authors":[{"text":"Li, Yan","contributorId":204630,"corporation":false,"usgs":false,"family":"Li","given":"Yan","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":734526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiao, Yan","contributorId":204633,"corporation":false,"usgs":false,"family":"Jiao","given":"Yan","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":734529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorantas, Robert M.","contributorId":204631,"corporation":false,"usgs":false,"family":"Lorantas","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":734527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Cheryl","contributorId":204632,"corporation":false,"usgs":false,"family":"Murphy","given":"Cheryl","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":734528,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197444,"text":"70197444 - 2018 - Characterization of Plasmodium relictum, a cosmopolitan agent of avian malaria","interactions":[],"lastModifiedDate":"2018-06-05T10:13:20","indexId":"70197444","displayToPublicDate":"2018-05-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2650,"text":"Malaria Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterization of <i>Plasmodium relictum</i>, a cosmopolitan agent of avian malaria","title":"Characterization of Plasmodium relictum, a cosmopolitan agent of avian malaria","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Background</strong></p><p id=\"Par1\" class=\"Para\">Microscopic research has shown that<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">Plasmodium relictum</i><span>&nbsp;</span>is the most common agent of avian malaria. Recent molecular studies confirmed this conclusion and identified several mtDNA lineages, suggesting the existence of significant intra-species genetic variation or cryptic speciation. Most identified lineages have a broad range of hosts and geographical distribution. Here, a rare new lineage of<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">P. relictum</i><span>&nbsp;</span>was reported and information about biological characters of different lineages of this pathogen was reviewed, suggesting issues for future research.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Methods</strong></p><p id=\"Par2\" class=\"Para\">The new lineage pPHCOL01 was detected in Common chiffchaff<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">Phylloscopus collybita,</i>and the parasite was passaged in domestic canaries<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">Serinus canaria</i>. Organs of infected birds were examined using histology and chromogenic in situ hybridization methods.<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">Culex quinquefasciatus</i><span>&nbsp;</span>mosquitoes, Zebra finch<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">Taeniopygia guttata,</i><span>&nbsp;</span>Budgerigar<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">Melopsittacus undulatus</i><span>&nbsp;</span>and European goldfinch<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">Carduelis carduelis</i><span>&nbsp;</span>were exposed experimentally. Both Bayesian and Maximum Likelihood analyses identified the same phylogenetic relationships among different, closely-related lineages pSGS1, pGRW4, pGRW11, pLZFUS01, pPHCOL01 of<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">P. relictum.</i><span>&nbsp;</span>Morphology of their blood stages was compared using fixed and stained blood smears, and biological properties of these parasites were reviewed.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results</strong></p><p id=\"Par3\" class=\"Para\">Common canary and European goldfinch were susceptible to the parasite pPHCOL01, and had markedly variable individual prepatent periods and light transient parasitaemia. Exo-erythrocytic and sporogonic stages were not seen. The Zebra finch and Budgerigar were resistant. Neither blood stages nor vector stages of all examined<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">P. relictum</i><span>&nbsp;</span>lineages can be distinguished morphologically.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusion</strong></p><p id=\"Par4\" class=\"Para\">Within the huge spectrum of vertebrate hosts, mosquito vectors, and ecological conditions, different lineages of<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">P. relictum</i><span>&nbsp;</span>exhibit indistinguishable, markedly variable morphological forms. Parasites of same lineages often develop differently in different bird species. Even more, the variation of biological properties (parasitaemia dynamics, blood pathology, prepatent period) in different isolates of the same lineage might be greater than the variation in different lineages during development in the same species of birds, indicating negligible taxonomic value of such features. Available lineage information is excellent for parasite diagnostics, but is limited in predictions about relationships in certain host-parasite associations. A combination of experiments, field observations, microscopic and molecular diagnostics is essential for understanding the role of different<span>&nbsp;</span><i class=\"EmphasisTypeItalic\">P. relictum</i><span>&nbsp;</span>lineages in bird health.</p></div>","language":"English","publisher":"BMC","doi":"10.1186/s12936-018-2325-2","usgsCitation":"Valkiunas, G., Ilgunas, M., Bukauskaite, D., Fragner, K., Weissenbock, H., Atkinson, C.T., and Iezhova, T., 2018, Characterization of Plasmodium relictum, a cosmopolitan agent of avian malaria: Malaria Journal, v. 17, p. 1-21, https://doi.org/10.1186/s12936-018-2325-2.","productDescription":"Article 184; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-097096","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":468779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12936-018-2325-2","text":"Publisher Index Page"},{"id":354714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-02","publicationStatus":"PW","scienceBaseUri":"5b46e58de4b060350a15d1ce","contributors":{"authors":[{"text":"Valkiunas, Gediminas","contributorId":205399,"corporation":false,"usgs":false,"family":"Valkiunas","given":"Gediminas","email":"","affiliations":[{"id":37095,"text":"Nature Research Centre,Vilnius, Lithuania","active":true,"usgs":false}],"preferred":false,"id":737173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ilgunas, Mikas","contributorId":205400,"corporation":false,"usgs":false,"family":"Ilgunas","given":"Mikas","email":"","affiliations":[{"id":37095,"text":"Nature Research Centre,Vilnius, Lithuania","active":true,"usgs":false}],"preferred":false,"id":737174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bukauskaite, Dovile","contributorId":205401,"corporation":false,"usgs":false,"family":"Bukauskaite","given":"Dovile","email":"","affiliations":[{"id":37095,"text":"Nature Research Centre,Vilnius, Lithuania","active":true,"usgs":false}],"preferred":false,"id":737175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fragner, Karin","contributorId":205402,"corporation":false,"usgs":false,"family":"Fragner","given":"Karin","email":"","affiliations":[{"id":37096,"text":"Institute of Pathology and Forensic Veterinary Medicine, University of Veterinary","active":true,"usgs":false}],"preferred":false,"id":737176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weissenbock, Herbert","contributorId":205403,"corporation":false,"usgs":false,"family":"Weissenbock","given":"Herbert","email":"","affiliations":[{"id":37097,"text":"Institute of Pathology and Forensic Veterinary Medicine, University of Veterinary Medicine, Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":737177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iezhova, Tatjana","contributorId":205404,"corporation":false,"usgs":false,"family":"Iezhova","given":"Tatjana","email":"","affiliations":[{"id":37095,"text":"Nature Research Centre,Vilnius, Lithuania","active":true,"usgs":false}],"preferred":false,"id":737178,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202273,"text":"70202273 - 2018 - Late Quaternary loess and soils on uplands in the Canyonlands and Mesa Verde areas, Utah and Colorado","interactions":[],"lastModifiedDate":"2019-02-19T16:16:55","indexId":"70202273","displayToPublicDate":"2018-05-01T16:16:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary loess and soils on uplands in the Canyonlands and Mesa Verde areas, Utah and Colorado","docAbstract":"<p><span>Thin loess deposits on the uplands of the southeastern Colorado Plateau have previously not been well studied. We sampled deposits and soils from trenches on Hatch Point (HP) mesa near Canyonlands National Park, Utah, and from two outcrops in Mesa Verde National Park, Colorado. At HP, the oldest buried unit yielded 2 optically stimulated luminescence (OSL) ages of 10,370 and 7555 yr; the middle unit yielded 10 OSL ages from 6220 to 1385 yr; and the youngest unit had a single age of 1740 yr. At Mesa Verde (MV), three loess units are preserved in the two outcrops we examined; 6 OSL ages range from 51 to 17 ka. At least one buried soil is present between two units with ages of about 50 and 40 ka. The ages of the loess units in both study areas correspond well with OSL-dated dune sands in Canyonlands National Park and with dune sands on Black Mesa, Arizona. Particle-size distribution combined with chemical and magnetic data indicate that HP loess was derived mostly from nearby sandstone sources with a small component of far-traveled atmospheric dust, whereas MV loess was sourced both from the nearby sandstone and the San Juan River and its tributaries.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2017.63","usgsCitation":"Reheis, M.C., Goldstein, H.L., Reynolds, R.L., Forman, S.L., Mahan, S.A., and Carrara, P.E., 2018, Late Quaternary loess and soils on uplands in the Canyonlands and Mesa Verde areas, Utah and Colorado: Quaternary Research, v. 89, no. 3, p. 718-738, https://doi.org/10.1017/qua.2017.63.","productDescription":"21 p.","startPage":"718","endPage":"738","ipdsId":"IP-084233","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":361358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Canyonlands and Mesa Verde areas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110,\n              36.5\n            ],\n            [\n              -108,\n              36.5\n            ],\n            [\n              -108,\n              39\n            ],\n            [\n              -110,\n              39\n            ],\n            [\n              -110,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":147881,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":757585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":147880,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forman, Steven L. 0000-0002-1385-9194","orcid":"https://orcid.org/0000-0002-1385-9194","contributorId":197758,"corporation":false,"usgs":false,"family":"Forman","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":757587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carrara, Paul E.","contributorId":213370,"corporation":false,"usgs":false,"family":"Carrara","given":"Paul","email":"","middleInitial":"E.","affiliations":[{"id":27856,"text":"USGS-retired","active":true,"usgs":false}],"preferred":false,"id":757589,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70199000,"text":"70199000 - 2018 - Plant and microbial biomarkers suggest mechanisms of soil organic carbon accumulation in a Mojave Desert ecosystem under elevated CO2","interactions":[],"lastModifiedDate":"2018-08-30T09:02:23","indexId":"70199000","displayToPublicDate":"2018-05-01T16:00:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Plant and microbial biomarkers suggest mechanisms of soil organic carbon accumulation in a Mojave Desert ecosystem under elevated CO<sub>2</sub>","title":"Plant and microbial biomarkers suggest mechanisms of soil organic carbon accumulation in a Mojave Desert ecosystem under elevated CO2","docAbstract":"<p><span>We investigated how properties of&nbsp;soil organic matter&nbsp;(SOM) were altered after 10 years exposure to elevated atmospheric CO</span><sub>2</sub><span>&nbsp;concentration ([CO</span><sub>2</sub><span>]) in a Mojave Desert ecosystem, using plant and microbial biomarkers. We focused on roles of&nbsp;</span><span><i>Larrea tridentata</i></span><span>, the dominant evergreen shrub which form islands of fertility, and&nbsp;biological soil crusts&nbsp;which have extensive cover in plant interspace. Soils to 5 cm in depth were collected under&nbsp;</span><i>L. tridentata</i><span>&nbsp;and plant interspace, and biological soil crusts to 0.5 cm in depth under three cover types,&nbsp;</span><i>Pleuraphis rigida</i><span>, a C</span><sub>4</sub><span>&nbsp;grass, shrubs and plant interspace.&nbsp;Soil organic carboncontents were not significantly different between elevated and ambient [CO</span><sub>2</sub><span>]. However, significantly higher abundance of&nbsp;</span><i>n</i><span>-alkanes, a major constituent of foliage wax material, occurred in the elevated compared to ambient [CO</span><sub>2</sub><span>] plots in the soils collected under&nbsp;</span><i>L. tridentata</i><span>, but no such difference was found in the soils at plant interspace or the biological soil crusts. There was no significant difference in abundance of microbial&nbsp;phospholipid&nbsp;fatty acids between the CO</span><sub>2</sub><span>&nbsp;treatments in the soils of either cover types. However, neutral lipid fatty acid abundance was significantly higher under elevated than ambient [CO</span><sub>2</sub><span>] in the soils under&nbsp;</span><i>L. tridentata</i><span>, whereas no such significant difference was observed at plant interspace. These results emphasize important roles of the dominant shrubs in SOM formation under elevated [CO</span><sub>2</sub><span>] in arid ecosystems. Elevated [CO</span><sub>2</sub><span>] stimulated growth of&nbsp;</span><i>L. tridentata</i><span>&nbsp;in wet years, and aboveground litter deposition via senescence contributed to SOM formation in islands of fertility. In addition, elevated [CO</span><sub>2</sub><span>] stimulated soil microbial turnover rates in&nbsp;rhizosphere&nbsp;of&nbsp;</span><i>L. tridentata</i><span>, which left more soil microbial necromass, a major SOM source. We concluded that responses of dominant shrubs to elevated [CO</span><sub>2</sub><span>] can stimulate SOM formation in arid ecosystems, but biological soil crusts may have limited capacity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2018.01.033","usgsCitation":"Koyama, A., Harlow, B., Kuske, C.R., Belnap, J., and Evans, R.D., 2018, Plant and microbial biomarkers suggest mechanisms of soil organic carbon accumulation in a Mojave Desert ecosystem under elevated CO2: Soil Biology and Biochemistry, v. 120, p. 48-57, https://doi.org/10.1016/j.soilbio.2018.01.033.","productDescription":"10 p.","startPage":"48","endPage":"57","ipdsId":"IP-065593","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1512734","text":"Publisher Index Page"},{"id":356936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2cfe4b0702d0e842fef","contributors":{"authors":[{"text":"Koyama, Akihiro","contributorId":207394,"corporation":false,"usgs":false,"family":"Koyama","given":"Akihiro","email":"","affiliations":[{"id":37529,"text":"(1)School of Biological Sciences and the Stable Isotope Core Laboratory, Washington State University, Pullman, WA 99164-4236, USA, (2)Department of Biology, Algoma University, Sault Ste. Marie, Ontario P6A 2G4, Canada","active":true,"usgs":false}],"preferred":false,"id":743719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harlow, Benjamin","contributorId":203879,"corporation":false,"usgs":false,"family":"Harlow","given":"Benjamin","email":"","affiliations":[{"id":36739,"text":"Stable Isotope Core Laboratory, School of Biological Sciences,  Washington State Universtity","active":true,"usgs":false}],"preferred":false,"id":743720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuske, Cheryl R.","contributorId":175361,"corporation":false,"usgs":false,"family":"Kuske","given":"Cheryl","email":"","middleInitial":"R.","affiliations":[{"id":27561,"text":"Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":743722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, R. Dave","contributorId":188043,"corporation":false,"usgs":false,"family":"Evans","given":"R.","email":"","middleInitial":"Dave","affiliations":[],"preferred":false,"id":743721,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199368,"text":"70199368 - 2018 - Spatial distribution of estuarine diamond-backed terrapins (Malaclemys terrapin) and risk analysis from commercial blue crab (Callinectes sapidus) trapping at the Savannah Coastal Refuges Complex, USA","interactions":[],"lastModifiedDate":"2018-09-14T15:07:33","indexId":"70199368","displayToPublicDate":"2018-05-01T15:07:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial distribution of estuarine diamond-backed terrapins (<i>Malaclemys terrapin</i>) and risk analysis from commercial blue crab (<i>Callinectes sapidus</i>) trapping at the Savannah Coastal Refuges Complex, USA","title":"Spatial distribution of estuarine diamond-backed terrapins (Malaclemys terrapin) and risk analysis from commercial blue crab (Callinectes sapidus) trapping at the Savannah Coastal Refuges Complex, USA","docAbstract":"The diamond-backed terrapin (Malaclemys terrapin) is a small estuarine turtle distributed along the Atlantic and Gulf Coasts of the USA. Terrapin populations are declining throughout their range and one of the main causes is mortality by drowning as bycatch in commercially-fished blue crab (Callinetes sapidus) traps (aka pots). We conducted head counts of terrapins and documented the distribution and number of crab pots on the Savannah Coastal Refuges Complex in southeast Georgia, USA. Using an index for representing relative degree of crabbing pressure, we conducted a spatial risk analysis for each of the four refuges surveyed. We fit a series of generalized linear mixed effect models to test hypotheses about the scale (creek scale vs. refuge/island scale) at which terrapin relative abundances respond to crab trapping. Several creeks were found to be at high risk of terrapin mortality from crab pots. Areas with low terrapin head counts may be a result of past crab pot mortality. The best model relating terrapin counts to crab trapping revealed a negative effect of crab pots calculated at the refuge/island scale and included a positive association between cloud cover and terrapin counts. The estimated effect of crab pot number at the refuge/island scale suggests that an increase in crab pot density of one pot per creek is associated with a 74.6% decline in terrapin head counts, underscoring the sensitivity of terrapin populations to crab pot mortality. Mitigation of this mortality factor via redesigned crab traps with bycatch reduction devices may be necessary to maintain healthy terrapin populations on the refuges.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2018.02.012","usgsCitation":"Lovich, J.E., Thomas, M., Ironside, K.E., Yackulic, C.B., and Puffer, S., 2018, Spatial distribution of estuarine diamond-backed terrapins (Malaclemys terrapin) and risk analysis from commercial blue crab (Callinectes sapidus) trapping at the Savannah Coastal Refuges Complex, USA: Ocean and Coastal Management, v. 157, p. 160-167, https://doi.org/10.1016/j.ocecoaman.2018.02.012.","productDescription":"8 p.","startPage":"160","endPage":"167","ipdsId":"IP-090417","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468780,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2018.02.012","text":"Publisher Index Page"},{"id":437925,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PN94W3","text":"USGS data release","linkHelpText":"Spatial distribution and risk analysis data for diamond-backed terrapins relative to crab trapping, Savannah Coastal Refuge Complex, USA"},{"id":357350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Blackbeard Island National Wildlife Refuge,  Harris Neck National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.26106262207031,\n              31.435693747063894\n            ],\n            [\n              -81.17523193359375,\n              31.435693747063894\n            ],\n            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  ]\n      }\n    }\n  ]\n}","volume":"157","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02ff8e4b0fc368eb539b4","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":745062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Meagan","contributorId":207526,"corporation":false,"usgs":false,"family":"Thomas","given":"Meagan","email":"","affiliations":[{"id":37553,"text":"Davidson College, Department of Biology, Davidson, NC 28035-7118, USA","active":true,"usgs":false}],"preferred":false,"id":745063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":745064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":745066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":745065,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198427,"text":"70198427 - 2018 - Thermal tolerance limits of the Chinese mystery snail (Bellamya chinensis): Implications for management","interactions":[],"lastModifiedDate":"2018-08-06T14:48:34","indexId":"70198427","displayToPublicDate":"2018-05-01T14:48:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":735,"text":"American Malacological Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Thermal tolerance limits of the Chinese mystery snail (<i>Bellamya chinensis</i>): Implications for management","title":"Thermal tolerance limits of the Chinese mystery snail (Bellamya chinensis): Implications for management","docAbstract":"<p><span>The Chinese mystery snail,&nbsp;</span><i>Bellamya chinensis</i><span>&nbsp;(Gray, 1834) is a gastropod native to East Asia and is considered an invasive species in North America where its impacts on native species and ecosystems are not well understood. Scientific literature describing its biology and life history are sparse. Thermal tolerance limits, or the maximum and minimum temperature under which a species can survive, are key to identifying the potential geographical range of a species. The ability of managers to control invasive species is directly impacted by the thermal tolerance limits of a species. We attempted to identify the thermal tolerance limits of&nbsp;</span><i>B. chinensis</i><span>&nbsp;in a laboratory setting. Using a random sampling design, we exposed groups of wild-caught&nbsp;</span><i>B. chinensis to</i><span>&nbsp;either extreme high or low temperature treatments. We identified the upper temperature tolerance limit as between 40 and 45 °C. This result indicates some hot water management techniques may successfully prevent spread of&nbsp;</span><i>B. chinensis</i><span>&nbsp;among waterways. Despite exposing&nbsp;</span><i>B. chinensis to</i><span>&nbsp;freezing temperatures for extended periods of time we did not identify a lower temperature limit. Identifying the thermal tolerance limits of this and other invasive species informs predictions of range expansion and identification of potential prevention efforts.</span></p>","language":"English","publisher":"American Malacological Society","doi":"10.4003/006.036.0106","usgsCitation":"Burnett, J., Pope, K.L., Wong, A., Allen, C.R., Haak, D.M., Stephen, B.J., and Uden, D.R., 2018, Thermal tolerance limits of the Chinese mystery snail (Bellamya chinensis): Implications for management: American Malacological Bulletin, v. 36, no. 1, p. 140-144, https://doi.org/10.4003/006.036.0106.","productDescription":"5 p.","startPage":"140","endPage":"144","ipdsId":"IP-086958","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":356207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc450e4b0f5d57878ea53","contributors":{"authors":[{"text":"Burnett, Jessica","contributorId":189224,"corporation":false,"usgs":false,"family":"Burnett","given":"Jessica","affiliations":[],"preferred":false,"id":741392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":741390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong, Alec","contributorId":79005,"corporation":false,"usgs":true,"family":"Wong","given":"Alec","email":"","affiliations":[],"preferred":false,"id":741393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":741391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haak, Danielle M.","contributorId":73078,"corporation":false,"usgs":true,"family":"Haak","given":"Danielle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephen, Bruce J.","contributorId":206665,"corporation":false,"usgs":false,"family":"Stephen","given":"Bruce","email":"","middleInitial":"J.","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":741395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":741396,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228102,"text":"70228102 - 2018 - Cambarus loughmani, a  new species of crayfish (Decapoda: Cambaridae) endemic to the pre-glacial Teays River Valley in West Virginia, USA","interactions":[],"lastModifiedDate":"2022-02-07T14:49:52.490431","indexId":"70228102","displayToPublicDate":"2018-05-01T14:22:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10080,"text":"Journal of Natural History","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Cambarus loughmani</i>, a new species of crayfish (Decapoda: Cambaridae) endemic to the pre-glacial Teays River Valley in West Virginia, USA","title":"Cambarus loughmani, a  new species of crayfish (Decapoda: Cambaridae) endemic to the pre-glacial Teays River Valley in West Virginia, USA","docAbstract":"<p><span>A new species of crayfish,&nbsp;</span><i>Cambarus loughmani</i><span>&nbsp;sp. nov., is described from the preglacial Teays River Valley of Cabell, Kanawha, Lincoln, Mason, and Putnam counties, West Virginia. The species was previously considered to be part of the&nbsp;</span><i>Cambarus dubius</i><span>&nbsp;complex. Loughman et al. restricted&nbsp;</span><i>C. dubius</i><span>&nbsp;to an orange colour morph found in central and northern portions of the Allegheny Mountains and Appalachian Plateau in central West Virginia, western Maryland, and south-central Pennsylvania. The new species described herein can be distinguished from all other members of&nbsp;</span><i>Cambarus</i><span>&nbsp;Erichson, 1846 by a double row of cristiform tubercles on the palm, an open areola with two rows of punctations, and a consistent blue colouration.</span></p>","language":"English","doi":"10.1080/00222933.2018.1557271","collaboration":"West Virginia University","usgsCitation":"Foltz, D.A., Sadecky, N., Myers, G., , F., Welsh, S.A., Stockner, W., Glon, M., and Thoma, R., 2018, Cambarus loughmani, a  new species of crayfish (Decapoda: Cambaridae) endemic to the pre-glacial Teays River Valley in West Virginia, USA: Journal of Natural History, v. 52, p. 2875-2897, https://doi.org/10.1080/00222933.2018.1557271.","productDescription":"23 p.","startPage":"2875","endPage":"2897","ipdsId":"IP-097637","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488985,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/5178104","text":"External Repository"},{"id":395484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Cabell County, Kanawha County, Lincoln County, Mason County, Putnam County","otherGeospatial":"Teays River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.01568603515625,\n              38.98503278695909\n            ],\n            [\n              -82.2271728515625,\n              38.61472442637688\n            ],\n            [\n              -82.2930908203125,\n              38.44498466889473\n            ],\n            [\n              -81.3262939453125,\n              38.14319750166766\n            ],\n            [\n              -80.77423095703124,\n              38.13887716726548\n            ],\n            [\n              -80.57647705078125,\n              38.212288054388175\n            ],\n            [\n              -80.52429199218749,\n              38.5632002667659\n            ],\n            [\n              -80.595703125,\n              38.758366935612784\n            ],\n            [\n              -82.01568603515625,\n              38.98503278695909\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","noUsgsAuthors":false,"publicationDate":"2019-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Foltz, David A. II","contributorId":172207,"corporation":false,"usgs":false,"family":"Foltz","given":"David","suffix":"II","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":833119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sadecky, Nichole","contributorId":274541,"corporation":false,"usgs":false,"family":"Sadecky","given":"Nichole","email":"","affiliations":[{"id":40096,"text":"West Liberty University","active":true,"usgs":false}],"preferred":false,"id":833120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myers, Greg","contributorId":274542,"corporation":false,"usgs":false,"family":"Myers","given":"Greg","email":"","affiliations":[{"id":40096,"text":"West Liberty University","active":true,"usgs":false}],"preferred":false,"id":833121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":" Fetzner","contributorId":274543,"corporation":false,"usgs":false,"given":"Fetzner","email":"","affiliations":[{"id":40096,"text":"West Liberty University","active":true,"usgs":false}],"preferred":false,"id":833122,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":833118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stockner, Whitney","contributorId":274547,"corporation":false,"usgs":false,"family":"Stockner","given":"Whitney","email":"","affiliations":[{"id":12650,"text":"Denison University","active":true,"usgs":false}],"preferred":false,"id":833123,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glon, Mael","contributorId":274550,"corporation":false,"usgs":false,"family":"Glon","given":"Mael","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":833124,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thoma, Roger F.","contributorId":270906,"corporation":false,"usgs":false,"family":"Thoma","given":"Roger F.","affiliations":[{"id":56219,"text":"Midwest Biodiversity Institute","active":true,"usgs":false}],"preferred":false,"id":833125,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70200760,"text":"70200760 - 2018 - Strong variation in weathering of layered rock maintains hillslope‐scale strength under high precipitation","interactions":[],"lastModifiedDate":"2018-10-31T14:14:03","indexId":"70200760","displayToPublicDate":"2018-05-01T14:13:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Strong variation in weathering of layered rock maintains hillslope‐scale strength under high precipitation","docAbstract":"<p><span>The evolution of volcanic landscapes and their landslide potential are both dependent upon the weathering of layered volcanic rock sequences. We characterize critical zone structure using shallow seismic&nbsp;</span><i>V</i><sub>p</sub><span>&nbsp;and&nbsp;</span><i>V</i><sub>s</sub><span>&nbsp;profiles and vertical exposures of rock across a basaltic climosequence on Kohala peninsula, Hawai’i, and exploit the dramatic gradient in mean annual precipitation (MAP) across the peninsula as a proxy for weathering intensity. Seismic velocity increases rapidly with depth and the velocity–depth gradient is uniform across three sites with 500–600 mm/yr MAP, where the transition to unaltered bedrock occurs at a depth of 4 to 10 m. In contrast, velocity increases with depth less rapidly at wetter sites, but this gradient remains constant across increasing MAP from 1000 to 3000 mm/yr and the transition to unaltered bedrock is near the maximum depth of investigation (15–25 m). In detail, the profiles of seismic velocity and of weathering at wet sites are nowhere monotonic functions of depth. The uniform average velocity gradient and the greater depths of low velocities may be explained by the averaging of velocities over intercalated highly weathered sites with less weathered layers at sites where MAP &gt; 1000 mm/yr. Hence, the main effect of climate is not the progressive deepening of a near‐surface altered layer, but rather the rapid weathering of high permeability zones within rock subjected to precipitation greater than ~1000 mm/yr. Although weathering suggests mechanical weakening, the nearly horizontal orientation of alternating weathered and unweathered horizons with respect to topography also plays a role in the slope stability of these heterogeneous rock masses. We speculate that where steep, rapidly evolving hillslopes exist, the sub‐horizontal orientation of weak/strong horizons allows such sites to remain nearly as strong as their less weathered counterparts at drier sites, as is exemplified by the 50°–60° slopes maintained in the amphitheater canyons on the northwest flank of the island.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4290","usgsCitation":"Von Voigtlander, J., Clark, M., Zekkos, D., Greenwood, W.W., Anderson, S.P., Anderson, R.S., and Godt, J.W., 2018, Strong variation in weathering of layered rock maintains hillslope‐scale strength under high precipitation: Earth Surface Processes and Landforms, v. 43, no. 6, p. 1183-1194, https://doi.org/10.1002/esp.4290.","productDescription":"12 p.","startPage":"1183","endPage":"1194","ipdsId":"IP-092441","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":468781,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2027.42/143701","text":"External Repository"},{"id":359044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kohala peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.95779418945312,\n              20.003031854711367\n            ],\n            [\n              -155.56365966796875,\n              20.003031854711367\n            ],\n            [\n              -155.56365966796875,\n              20.308569296896167\n            ],\n            [\n              -155.95779418945312,\n              20.308569296896167\n            ],\n            [\n              -155.95779418945312,\n              20.003031854711367\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-02","publicationStatus":"PW","scienceBaseUri":"5c10a9c4e4b034bf6a7e544a","contributors":{"authors":[{"text":"Von Voigtlander, Jennifer","contributorId":210297,"corporation":false,"usgs":false,"family":"Von Voigtlander","given":"Jennifer","email":"","affiliations":[{"id":38101,"text":"Dept. of Earth and Environmental Sciences, Univ. Michigan","active":true,"usgs":false}],"preferred":false,"id":750404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":750405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zekkos, Dimitrios","contributorId":200290,"corporation":false,"usgs":false,"family":"Zekkos","given":"Dimitrios","email":"","affiliations":[],"preferred":false,"id":750406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greenwood, William W.","contributorId":210298,"corporation":false,"usgs":false,"family":"Greenwood","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":38102,"text":"Dept. of Civil and Environmental Engineering, Univ. Michigan","active":true,"usgs":false}],"preferred":false,"id":750407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Suzanne P. 0000-0002-6796-6649","orcid":"https://orcid.org/0000-0002-6796-6649","contributorId":172732,"corporation":false,"usgs":false,"family":"Anderson","given":"Suzanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":750408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Robert S.","contributorId":195154,"corporation":false,"usgs":false,"family":"Anderson","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":750409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750403,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70201610,"text":"70201610 - 2018 - Integrating forest inventory data and MODIS data to map species-level biomass in Chinese boreal forests","interactions":[],"lastModifiedDate":"2018-12-18T14:07:03","indexId":"70201610","displayToPublicDate":"2018-05-01T14:07:08","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Integrating forest inventory data and MODIS data to map species-level biomass in Chinese boreal forests","docAbstract":"<p><span>Timely and accurate knowledge of species-level biomass is essential for forest managers to sustain forest resources and respond to various forest disturbance regimes. In this study, maps of species-level biomass in Chinese boreal forests were generated by integrating Moderate Resolution Imaging Spectroradiometer (MODIS) images with forest inventory data using&nbsp;</span><i>k</i><span>&nbsp;nearest neighbor (</span><i>k</i><span>NN) methods and evaluated at different scales. The performance of 630&nbsp;</span><i>k</i><span>NN models based on different distance metrics,&nbsp;</span><i>k</i><span>&nbsp;values, and temporal MODIS predictor variables were compared. Random Forest (RF) showed the best performance among the six distance metrics: RF, Euclidean distance, Mahalanobis distance, most similar neighbor in canonical correlation space, most similar neighbor computed using projection pursuit, and gradient nearest neighbor. No appreciable improvement was observed using multi-month MODIS data compared with using single-month MODIS data. At the pixel scale, species-level biomass for larch and white birch had relatively good accuracy (root mean square deviation &lt; 62.1%), while the other species had poorer accuracy. The accuracy of most species except for willow and spruce was improved up to the ecoregion scale. The maps of species-level biomass captured the effects of disturbances including fire and harvest and can provide useful information for broad-scale forest monitoring over time.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfr-2017-0346","usgsCitation":"Zhang, Q., He, H.S., Liang, Y., Hawbaker, T., Henne, P., Liu, J., Huang, S., Wu, Z., and Huang, C., 2018, Integrating forest inventory data and MODIS data to map species-level biomass in Chinese boreal forests: Canadian Journal of Forest Research, v. 48, no. 5, p. 461-479, https://doi.org/10.1139/cjfr-2017-0346.","productDescription":"19 p.","startPage":"461","endPage":"479","ipdsId":"IP-085665","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":360498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              121,\n              50\n            ],\n            [\n              127.5,\n              50\n            ],\n            [\n              127.5,\n              53.5\n            ],\n            [\n              121,\n              53.5\n            ],\n            [\n              121,\n              50\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a1533e4b0708288c23538","contributors":{"authors":[{"text":"Zhang, Qinglong","contributorId":211615,"corporation":false,"usgs":false,"family":"Zhang","given":"Qinglong","email":"","affiliations":[{"id":38276,"text":"CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":754516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Hong S.","contributorId":211612,"corporation":false,"usgs":true,"family":"He","given":"Hong","email":"","middleInitial":"S.","affiliations":[{"id":38275,"text":"Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;  School of Natural Resources, University of Missouri, 203 ABNR Building, Columbia, MO, USA","active":true,"usgs":false}],"preferred":false,"id":754517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liang, Yu","contributorId":211613,"corporation":false,"usgs":false,"family":"Liang","given":"Yu","email":"","affiliations":[{"id":38274,"text":"Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":754518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":754519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Shengli","contributorId":192377,"corporation":false,"usgs":false,"family":"Huang","given":"Shengli","affiliations":[],"preferred":false,"id":754521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wu, Zhiwei","contributorId":211614,"corporation":false,"usgs":false,"family":"Wu","given":"Zhiwei","email":"","affiliations":[{"id":38274,"text":"Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":754522,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huang, Chao","contributorId":211611,"corporation":false,"usgs":false,"family":"Huang","given":"Chao","email":"","affiliations":[{"id":38274,"text":"Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":true,"id":754523,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70198418,"text":"70198418 - 2018 - Demographic rates of two southeastern populations of Painted Bunting, 2007–2015","interactions":[],"lastModifiedDate":"2018-08-03T14:02:55","indexId":"70198418","displayToPublicDate":"2018-05-01T14:02:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Demographic rates of two southeastern populations of Painted Bunting, 2007–2015","docAbstract":"<p><span>Painted Buntings (</span><i>Passerina ciris</i><span>) have been declining in the southeastern United States since the 1970s. A recent demographic assessment highlighted the importance of estimating demographic parameters, which have received little attention to date. The dearth of information is troublesome because attempts to reverse declining trends require a better understanding of the relationship between habitat quality and age- and sex-specific survival and recruitment rates. We used capture–mark–recapture data collected from 2007 to 2015 on Bald Head Island (BHI) and at Hammocks Beach State Park (HBSP) in North Carolina, USA, to estimate local age- and sex-specific annual survival rates and local population size and recruitment rates using programs MARK and LOLASURVIV. Juveniles had lower local survival rates than adults (HBSP: 0.28 ± 0.14 vs. 0.67 ± 0.06; BHI: 0.28 ± 0.04 vs. 0.57 ± 0.02). Local annual survival rates for males on BHI (0.50 ± 0.03) were lower than those for females (0.57 ± 0.02). Age-specific differences were consistent with known differential age-dependent survival skills, and sex-specific differences were consistent with the potential influence of sexual dichromism. Conservative estimates of population size on BHI averaged 101 juveniles and 263 adults annually. Annual in situ reproductive recruitment averaged 28 individuals plus an additional 120 new immigrants, indicating successful reproduction and connectivity with neighboring coastal populations. Local adult survival estimates from our 2 North Carolinian study populations were similar to high-end estimates from across the eastern and western range of the species (∼0.60). Finite observed population growth rate estimates between the BHI population (λ = 1.10) and a South Carolinian population (λ = 0.87) underscore the potential role of differential habitat quality and the importance of information from multiple sites, including nonbreeding grounds, for proper inferences about the status of the species. Reported vital rates provide a stronger foundation on which to base habitat quality as assessed with demographic parameters and to guide Painted Bunting conservation regionally.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-74.1","usgsCitation":"Yirka, L.M., Collazo, J., O’Shea, B.J., Gerwin, J., Rotenberg, J.A., and Cobb, D.T., 2018, Demographic rates of two southeastern populations of Painted Bunting, 2007–2015: The Condor, v. 120, no. 2, p. 319-329, https://doi.org/10.1650/CONDOR-17-74.1.","productDescription":"11 p.","startPage":"319","endPage":"329","ipdsId":"IP-083696","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-74.1","text":"Publisher Index Page"},{"id":356150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Bald Head Island, Hammocks Beach State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.5577392578125,\n              33.792843773631844\n            ],\n            [\n              -76.17919921875,\n              33.792843773631844\n            ],\n            [\n              -76.17919921875,\n              34.95574425733423\n            ],\n            [\n              -78.5577392578125,\n              34.95574425733423\n            ],\n            [\n              -78.5577392578125,\n              33.792843773631844\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"120","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc451e4b0f5d57878ea55","contributors":{"authors":[{"text":"Yirka, Liani M.","contributorId":206731,"corporation":false,"usgs":false,"family":"Yirka","given":"Liani","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":741375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Shea, Brian J.","contributorId":206732,"corporation":false,"usgs":false,"family":"O’Shea","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerwin, J.A.","contributorId":88149,"corporation":false,"usgs":true,"family":"Gerwin","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":741573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rotenberg, James A.","contributorId":206733,"corporation":false,"usgs":false,"family":"Rotenberg","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":741574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cobb, David T.","contributorId":176235,"corporation":false,"usgs":false,"family":"Cobb","given":"David","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":741575,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198415,"text":"70198415 - 2018 - Process convolution approaches for modeling interacting trajectories","interactions":[],"lastModifiedDate":"2018-08-03T13:49:42","indexId":"70198415","displayToPublicDate":"2018-05-01T13:49:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"Process convolution approaches for modeling interacting trajectories","docAbstract":"<p><span>Gaussian processes are a fundamental statistical tool used in a wide range of applications. In the spatiotemporal setting, several families of covariance functions exist to accommodate a wide variety of dependence structures arising in different applications. These parametric families can be restrictive and are insufficient in some situations. In contrast, process convolutions represent a flexible, interpretable approach to defining the covariance of a Gaussian process and have modest requirements to ensure validity. We introduce a generalization of the process convolution approach that employs multiple convolutions sequentially to form a “process convolution chain”. In our proposed multistage framework, complex dependencies that arise from a combination of different interacting mechanisms are decomposed into a series of interpretable kernel smoothers. We demonstrate an application of process convolution chains to model killer whale movement, in which the paths taken by multiple individuals are not independent but reflect dynamic social interactions within the population. Our proposed model for dependent movement provides inference for the latent dynamic social structure in the study population. Additionally, by leveraging the positive dependence among individual paths, we achieve a reduction in uncertainty for the estimated locations of the killer whales, compared with a model that treats paths as independent.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/env.2487","usgsCitation":"Scharf, H.R., Hooten, M., Johnson, D.S., and Durban, J.W., 2018, Process convolution approaches for modeling interacting trajectories: Environmetrics, v. 29, no. 3, e2487; 18 p., https://doi.org/10.1002/env.2487.","productDescription":"e2487; 18 p.","ipdsId":"IP-083224","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/env.2487","text":"Publisher Index Page"},{"id":356148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-29","publicationStatus":"PW","scienceBaseUri":"5b6fc45ce4b0f5d57878ea5f","contributors":{"authors":[{"text":"Scharf, Henry R.","contributorId":206652,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":37371,"text":"Colorado State University, Department of Statistics","active":true,"usgs":false}],"preferred":false,"id":741368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":741367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin S.","contributorId":198622,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":741369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durban, John W.","contributorId":206653,"corporation":false,"usgs":false,"family":"Durban","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":37372,"text":"N OAA, National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":741370,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198990,"text":"70198990 - 2018 - Numerical model of geochronological tracers for deposition and reworking applied to the Mississippi subaqueous delta","interactions":[],"lastModifiedDate":"2018-08-28T13:49:01","indexId":"70198990","displayToPublicDate":"2018-05-01T13:48:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Numerical model of geochronological tracers for deposition and reworking applied to the Mississippi subaqueous delta","docAbstract":"<p><span>Measurements of naturally occurring, short-lived radioisotopes from sediment cores on the Mississippi subaqueous delta have been used to infer event bed characteristics such as depositional thicknesses and accumulation rates. Specifically, the presence of Beryllium-7 (</span><sup>7</sup><span>Be) indicates recent riverine-derived terrestrial sediment deposition; while Thorium-234 (</span><sup>234</sup><span>Th) provides evidence of recent suspension in marine waters. Sediment transport models typically represent coastal flood and storm deposition via estimated grain size patterns and deposit thicknesses, however, and do not directly calculate radioisotope activities and profiles, which leads to a disconnect between the numerical model and field observations. Here, observed radioisotopic profiles from the Mississippi subaqueous delta cores were directly related to a numerical model that represented resuspension and deposition using a new approach to account for the behavior of short-lived radioisotopes. Appropriate selection of parameters such as the biodiffusion coefficient, sediment accumulation rate, and radioisotopic source terms enabled a good match between the modeled and observed cores. Comparisons of modelled profiles with geochronological analytical models that estimate accumulation rate and flood layer thickness revealed potential avenues for refining these tools, and highlight the importance of constraining the biodiffusion coefficient.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI85-092.1","usgsCitation":"Birchler, J.J., Harris, C.K., Kniskern, T.A., and Sherwood, C.R., 2018, Numerical model of geochronological tracers for deposition and reworking applied to the Mississippi subaqueous delta: Journal of Coastal Research, v. Special Issue 85, p. 456-460, https://doi.org/10.2112/SI85-092.1.","productDescription":"5 p.","startPage":"456","endPage":"460","ipdsId":"IP-092729","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2112/si85-092.1","text":"Publisher Index Page"},{"id":356848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico, Mississippi River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.5,\n              28.5\n            ],\n            [\n              -88,\n              28.5\n            ],\n            [\n              -88,\n              30.5\n            ],\n            [\n              -90.5,\n              30.5\n            ],\n            [\n              -90.5,\n              28.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"Special Issue 85","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2cfe4b0702d0e842ff1","contributors":{"authors":[{"text":"Birchler, Justin J. 0000-0002-0379-2192 jbirchler@usgs.gov","orcid":"https://orcid.org/0000-0002-0379-2192","contributorId":169117,"corporation":false,"usgs":true,"family":"Birchler","given":"Justin","email":"jbirchler@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":743670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Courtney K.","contributorId":19620,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","email":"","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":743671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kniskern, Tara A.","contributorId":207384,"corporation":false,"usgs":false,"family":"Kniskern","given":"Tara","email":"","middleInitial":"A.","affiliations":[{"id":37527,"text":"Virginia Institute of Marine Sciences, College of William & Mary","active":true,"usgs":false}],"preferred":false,"id":743672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":743673,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194712,"text":"ds1075 - 2018 - Groundwater-level data from an earthen dam site in southern Westchester County, New York","interactions":[],"lastModifiedDate":"2018-05-01T16:08:23","indexId":"ds1075","displayToPublicDate":"2018-05-01T13:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1075","title":"Groundwater-level data from an earthen dam site in southern Westchester County, New York","docAbstract":"<p>In 2005, the U.S. Geological Survey began a cooperative study with New York City Department of Environmental Protection to characterize the local groundwater-flow system and identify potential sources of seeps on the southern embankment of the Hillview Reservoir in Westchester County, New York. Groundwater levels were collected at 49 wells at Hillview Reservoir, and 1 well in northern Bronx County, from April 2005 through November 2016. Groundwater levels were measured discretely with a chalked steel or electric tape, or continuously with a digital pressure transducer, or both, in accordance with U.S. Geological Survey groundwatermeasurement standards. These groundwater-level data were plotted as time series and are presented in this report as hydrographs. Twenty-eight of the 50 hydrographs have continuous record and discrete field groundwater-level measurements, 22 of the hydrographs contain only discrete measurements.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1075","isbn":"978-1-4113-4200-2","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Noll, M.L., and Chu, Anthony, 2018, Groundwater-level data from an earthen dam site in southern Westchester County, New York: U.S. Geological Survey Data Series 1075, 35 p., https://doi.org/10.3133/ds1075.","productDescription":"Report: vii, 35 p.; Appendix 1","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-084388","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":351582,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1075/ds1075.pdf","text":"Report","size":"15.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1075"},{"id":351583,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1075/ds1075_app1.zip","text":"Appendix 1","size":"8.55 MB","linkHelpText":"- Groundwater-level measurements"},{"id":351581,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1075/coverthb.jpg"}],"country":"United States","state":"New York","county":"Westchester County","otherGeospatial":"Hillview Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.87460231781006,\n              40.90598813645525\n            ],\n            [\n              -73.86430263519287,\n              40.90598813645525\n            ],\n            [\n              -73.86430263519287,\n              40.917760911653126\n            ],\n            [\n              -73.87460231781006,\n              40.917760911653126\n            ],\n            [\n              -73.87460231781006,\n              40.90598813645525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://ny.water.usgs.gov\" data-mce-href=\"https://ny.water.usgs.gov\">New York Water Science Center</a><br> U.S. Geological Survey<br> 2045 Route 112, Building 4<br> Coram, NY 11727</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Groundwater-Level Measurements</li><li>Data Dissemination</li><li>References Cited</li><li>Appendix 1.&nbsp;Discrete and Continuous-Record Groundwater-Level Measurements for Observation Wells in Bronx and Westchester Counties, New York</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-05-01","noUsgsAuthors":false,"publicationDate":"2018-05-01","publicationStatus":"PW","scienceBaseUri":"5afee6c4e4b0da30c1bfbdf0","contributors":{"authors":[{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724984,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202358,"text":"70202358 - 2018 - Operational nowcasting of electron flux levels in the outer zone of Earth's radiation belt","interactions":[],"lastModifiedDate":"2019-02-25T13:38:25","indexId":"70202358","displayToPublicDate":"2018-05-01T13:38:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Operational nowcasting of electron flux levels in the outer zone of Earth's radiation belt","docAbstract":"<p><span>We describe a lightweight, accurate nowcasting model for electron flux levels measured by the Van Allen probes. Largely motivated by Rigler et al. (</span><span>2004</span><span>,&nbsp;</span>https://doi.org/10.1029/2003SW000036<span>), we turn to a time‐varying linear filter of previous flux levels and&nbsp;</span><i>K</i><sub><i>p</i></sub><span>. We train and test this model on data gathered from the 2.10 MeV channel of the Relativistic Electron‐Proton Telescope sensor onboard the Van Allen probes. Dynamic linear models are a specific case of state space models and can be made flexible enough to emulate the nonlinear behavior of particle fluxes within the radiation belts. Real‐time estimation of the parameters of the model is done using a Kalman filter, where the state of the model is exactly the parameters. Nowcast performance is assessed against several baseline interpolation schemes. Our model demonstrates significant improvements in performance over persistence nowcasting. In particular, during times of high geomagnetic activity, our model is able to attain performance substantially better than a persistence model. In addition, residual analysis is conducted in order to assess model fit and to suggest future improvements to the model.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2017SW001788","usgsCitation":"Coleman, T., McCollough, J.P., Young, S.L., and Rigler, E.J., 2018, Operational nowcasting of electron flux levels in the outer zone of Earth's radiation belt: Space Weather, v. 16, no. 5, p. 501-518, https://doi.org/10.1029/2017SW001788.","productDescription":"18 p.","startPage":"501","endPage":"518","ipdsId":"IP-096545","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":361501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Coleman, Tim","contributorId":213545,"corporation":false,"usgs":false,"family":"Coleman","given":"Tim","email":"","affiliations":[],"preferred":false,"id":757979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCollough, James P.","contributorId":204030,"corporation":false,"usgs":false,"family":"McCollough","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":757980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Shawn L.","contributorId":204031,"corporation":false,"usgs":false,"family":"Young","given":"Shawn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":757981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":757982,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201557,"text":"70201557 - 2018 - Multi-year high-frequency hydrothermal monitoring of selected high-threat Cascade Range volcanoes","interactions":[],"lastModifiedDate":"2018-12-18T12:46:20","indexId":"70201557","displayToPublicDate":"2018-05-01T12:46:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Multi-year high-frequency hydrothermal monitoring of selected high-threat Cascade Range volcanoes","docAbstract":"<p><span>From 2009 to 2015 the U.S. Geological Survey (USGS) systematically monitored hydrothermal behavior at selected Cascade Range volcanoes in order to define baseline hydrothermal and geochemical conditions. Gas and water data were collected regularly at 25 sites on 10 of the highest-risk volcanoes in the Cascade Range. These sites include near-summit&nbsp;fumarole&nbsp;groups and springs/streams that show clear evidence of magmatic influence (high&nbsp;</span><sup>3</sup><span>He/</span><sup>4</sup><span>He ratios and/or large fluxes of magmatic CO</span><sub>2</sub><span>&nbsp;or heat). Site records consist mainly of hourly temperature and hydrothermal-flux data. Having established&nbsp;baseline conditions&nbsp;during a multiyear quiescent period, the USGS reduced monitoring frequency from 2015 to present. The archived monitoring data are housed at (doi:10.5066/F72N5088). These data (1) are suitable for retrospective comparison with other continuous geophysical monitoring data and (2) will provide context during future episodes of volcanic unrest, such that unrest-related variations at these thoroughly characterized sites will be more clearly recognizable. Relatively high-frequency year-round data are essential to achieve these objectives, because many of the time series reveal significant diurnal, seasonal, and inter-annual variability that would tend to mask unrest signals in the absence of baseline data. Here we characterize normal variability for each site, suggest strategies to detect future volcanic unrest, and explore deviations from background associated with recent unrest.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.02.014","usgsCitation":"Crankshaw, I., Archfield, S.A., Newman, A.C., Bergfeld, D., Clor, L., Kelly, P.J., Evans, W.C., Spicer, K.R., and Ingebritsen, S.E., 2018, Multi-year high-frequency hydrothermal monitoring of selected high-threat Cascade Range volcanoes: Journal of Volcanology and Geothermal Research, v. 356, p. 24-35, https://doi.org/10.1016/j.jvolgeores.2018.02.014.","productDescription":"12 p.","startPage":"24","endPage":"35","ipdsId":"IP-091030","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.02.014","text":"Publisher Index Page"},{"id":360459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascades Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124,\n              40\n            ],\n            [\n              -120,\n              40\n            ],\n            [\n              -120,\n              49\n            ],\n            [\n              -124,\n              49\n            ],\n            [\n              -124,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"356","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a1534e4b0708288c2353b","contributors":{"authors":[{"text":"Crankshaw, I.M. 0000-0003-0736-5478","orcid":"https://orcid.org/0000-0003-0736-5478","contributorId":211588,"corporation":false,"usgs":false,"family":"Crankshaw","given":"I.M.","email":"","affiliations":[{"id":17863,"text":"Sonoma County Water Agency","active":true,"usgs":false}],"preferred":false,"id":754436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":754438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, A. C. 0000-0001-6621-2717","orcid":"https://orcid.org/0000-0001-6621-2717","contributorId":211589,"corporation":false,"usgs":false,"family":"Newman","given":"A.","email":"","middleInitial":"C.","affiliations":[{"id":38269,"text":"Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":754437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergfeld, Deborah 0000-0003-4570-7627 dbergfel@usgs.gov","orcid":"https://orcid.org/0000-0003-4570-7627","contributorId":152531,"corporation":false,"usgs":true,"family":"Bergfeld","given":"Deborah","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":754439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clor, Laura E. 0000-0003-2633-5100","orcid":"https://orcid.org/0000-0003-2633-5100","contributorId":209969,"corporation":false,"usgs":true,"family":"Clor","given":"Laura E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":754440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":754540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":754539,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":754441,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":754435,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70197548,"text":"70197548 - 2018 - Estimating fluvial discharges coincident with 21st century coastal storms modeled with CoSMoS","interactions":[],"lastModifiedDate":"2018-09-26T12:40:44","indexId":"70197548","displayToPublicDate":"2018-05-01T12:40:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating fluvial discharges coincident with 21st century coastal storms modeled with CoSMoS","docAbstract":"<p>On the open coast, flooding is largely driven by tides, storm surge, waves, and in areas near coastal inlets, the magnitude and co-occurrence of high fluvial discharges. Statistical methods are typically used to estimate the individual probability of coastal storm and fluvial discharge occurrences for use in sophisticated flood hazard models. A challenge arises when considering possible future climate changes and the relation between the intensity of extreme coastal water levels and high fluvial discharges.</p><p class=\"last\">In this study, the Coastal Storm Modeling System (CoSMoS) is used to dynamically downscale global climate projections to local-scale storm-driven coastal water levels, including associated fluvial discharges. An efficient approach to derive 21st century projected fluvial discharges for rivers within San Francisco Bay was developed, leveraging a readily-available time-series of projected (2010 – 2100) discharge rates of the predominant river system (the “Delta”). Delta projections were used to estimate flow rates of 8 Bay rivers for the IPCC's CMIP5 RCP4.5 climate scenario. Relationships describing discharge rates, normalized by respective watershed areas, were developed and applied to projected data to generate 21st century fluvial discharge time-series for each river. Results indicate decreasing discharge rates throughout the 21<sup>st</sup><span>&nbsp;</span>century with the exception of extreme flows.</p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI85-159.1","usgsCitation":"Erikson, L.H., O'Neill, A., and Barnard, P., 2018, Estimating fluvial discharges coincident with 21st century coastal storms modeled with CoSMoS: Journal of Coastal Research, v. Special Issue No. 85, p. 791-795, https://doi.org/10.2112/SI85-159.1.","productDescription":"5 p.","startPage":"791","endPage":"795","ipdsId":"IP-092829","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":357779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.387451171875,\n              36.94989178681327\n            ],\n            [\n              -121.201171875,\n              36.94989178681327\n            ],\n            [\n              -121.201171875,\n              38.565347844885466\n            ],\n            [\n              -123.387451171875,\n              38.565347844885466\n            ],\n            [\n              -123.387451171875,\n              36.94989178681327\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"Special Issue No. 85","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02ff9e4b0fc368eb539b6","contributors":{"authors":[{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":737616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":737617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746347,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201554,"text":"70201554 - 2018 - Atmospheric and surface climate associated with 1986–2013 wildfires in North America","interactions":[],"lastModifiedDate":"2018-12-18T12:39:58","indexId":"70201554","displayToPublicDate":"2018-05-01T12:40:05","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric and surface climate associated with 1986–2013 wildfires in North America","docAbstract":"<p><span>We analyze climate simulations conducted with the RegCM3 regional climate model on 50‐ and 15‐km model grids to diagnose the dependence of wildfire incidence and area burned variations on monthly climate long‐term means and anomalies over North America for the period 1986–2013. We created a new wildfire database by merging the Fire Program Analysis Fire‐Occurrence Database, the National Interagency Fire Center Fire History Data, and the Canadian National Fire Database. The database includes 2,083,865 daily fire starts that burned a total of 1.25&nbsp;×&nbsp;10</span><sup>8</sup><span>&nbsp;ha in North America. We derive long‐term climatologies, standardized gamma indices, and composite climate anomalies of atmospheric circulation (500‐hPa height and wind) and various surface fields (e.g., solar radiation, soil moisture, vapor pressure deficit, and latent and sensible heat fluxes) to illustrate the climatology of burned area. The immediate and lagged monthly atmospheric circulation and surface climate anomalies differentiate high‐ and low‐fire years and the role of El Niño–Southern Oscillation in wildfire occurrence. Our approach demonstrates the association of the seasonal cycles of wildfire and climate and the strong role of climatic variability in modulating the seasonal cycle as a control of wildfire on monthly time scales.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2017JG004195","usgsCitation":"Hostetler, S.W., Bartlein, P.J., and Alder, J.R., 2018, Atmospheric and surface climate associated with 1986–2013 wildfires in North America: Journal of Geophysical Research: Biogeosciences, v. 123, no. 5, p. 1588-1609, https://doi.org/10.1029/2017JG004195.","productDescription":"22 p.","startPage":"1588","endPage":"1609","ipdsId":"IP-090909","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jg004195","text":"Publisher Index Page"},{"id":360457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-16","publicationStatus":"PW","scienceBaseUri":"5c1a1534e4b0708288c2353e","contributors":{"authors":[{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":754432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartlein, Patrick J. 0000-0001-7657-5685","orcid":"https://orcid.org/0000-0001-7657-5685","contributorId":211587,"corporation":false,"usgs":false,"family":"Bartlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":33397,"text":"U of Oregon","active":true,"usgs":false}],"preferred":false,"id":754433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":754434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198040,"text":"70198040 - 2018 - Interaction between hydraulic fracture and a preexisting fracture under triaxial stress conditions","interactions":[],"lastModifiedDate":"2018-08-07T12:07:51","indexId":"70198040","displayToPublicDate":"2018-05-01T12:07:45","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Interaction between hydraulic fracture and a preexisting fracture under triaxial stress conditions","docAbstract":"<p>Enhanced reservoir connectivity generally requires maximizing the intersection between hydraulic fracture (HF) and preexisting underground natural fractures (NF), while having the hydraulic fracture cross the natural fractures (and not arrest). We have studied the interaction between a hydraulic fracture and a polished saw-cut fault. The experiments include a hydraulic fracture initiating from a pressurized axial borehole (using water) that approaches a dry fault that is inclined at an angle θ with respect to the borehole axis. The experiments are conducted on Poly(methyl) Meta Acrylate (PMMA) and Solnhofen limestone, a finely grained (&lt;5 μm grain), low permeability (&lt;10 nD) carbonate. The confining pressure in all experiments is 5 MPa, while the differential stress (1-80 MPa) and approach angle, θ (30, 45, 60, 90°) are experimental variables. During the hydraulic fracture, acoustic emissions (AE), slip velocity, slip magnitude, stress drop and pore pressure are recorded at a 5 MHz sampling rate. A Doppler laser vibrometer measures piston velocity outside the pressure vessel to infer fault slip duration and a strain gauge adjacent to the saw-cut provides a near-field measure of axial stress.</p><p>For PMMA, the coefficient of friction was 0.30 and sliding was unstable (stick-slip). The approaching HF in PMMA created a tensile fracture detected by AE transducers ~100 μs before the significant stick-slip event (45% stress drop and slip velocity of ~60 mm/s) and was arrested by the fault at all fault orientations and differential stresses, even at 90° fault orientation and 80 MPa differential stress. For Solnhofen limestone, we observed stable sliding at a coefficient of friction of 0.12. In contrast to PMMA, the HF in Solnhofen consistently crossed to the other side of the fault. When the HF crossed the fault, it produced a small stress drop (&lt;10%) and slip velocity of only 0.5 mm/s. Theoretical models by Blanton (1986) and Renshaw and Pollard (1995) predict that HF will be arrested for Solnhofen limestone and cross PMMA 90° fault at 80 MPa differential stress. Although the exact cause for the discrepancy between experiments and the theory is not known, one feature present in the experiments but not considered in the models, is the diffusion of fluid driven by the fault slip. Thus, the formation of a \"fluid-filled patch\" on the fault surface as it is intersected by the HF may substantially impact the crossing/arrest behavior. The approach angle and differential stress also influence the HF initiation azimuth and breakdown pressure. In most cases, the HF initiation azimuth was normal to the fault strike. These observations suggest that the presence of natural fractures could result in rotation of hydraulic fractures to be more normal to their strike and a subsequent change in the downhole pressure recordings. The latter could be used as a diagnostic tool for predicting this interaction.</p>","largerWorkTitle":"SPE Hydraulic Fracturing Technology Conference and Exhibition","conferenceTitle":"SPE Hydraulic Fracturing Technology Conference and Exhibition","conferenceDate":"January 23-25, 2018","conferenceLocation":"The Woodlands, TX","language":"English","publisher":"Society of Petroleum Engineers","doi":"10.2118/189901-MS","usgsCitation":"Mighani, S., Lockner, D.A., Kilgore, B.D., Sheibani, F., and Evans, B., 2018, Interaction between hydraulic fracture and a preexisting fracture under triaxial stress conditions, <i>in</i> SPE Hydraulic Fracturing Technology Conference and Exhibition, The Woodlands, TX, January 23-25, 2018, 26 p., https://doi.org/10.2118/189901-MS.","productDescription":"26 p.","ipdsId":"IP-095560","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":437926,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DQOE6D","text":"USGS data release","linkHelpText":"Data Release for &quot;Interaction between hydraulic fracture and a preexisting fracture under triaxial stress conditions&quot;"},{"id":356278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-23","publicationStatus":"PW","scienceBaseUri":"5b6fc45ce4b0f5d57878ea61","contributors":{"authors":[{"text":"Mighani, Saied","contributorId":206821,"corporation":false,"usgs":false,"family":"Mighani","given":"Saied","email":"","affiliations":[],"preferred":false,"id":741866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":741867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":741868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sheibani, Farrokh 0000-0002-5105-4792","orcid":"https://orcid.org/0000-0002-5105-4792","contributorId":205992,"corporation":false,"usgs":false,"family":"Sheibani","given":"Farrokh","email":"","affiliations":[{"id":37205,"text":"Post-Doctoral researcher at M.I.T. Cambridge MA","active":true,"usgs":false}],"preferred":false,"id":741869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Brian 0000-0003-0324-0969","orcid":"https://orcid.org/0000-0003-0324-0969","contributorId":205993,"corporation":false,"usgs":false,"family":"Evans","given":"Brian","email":"","affiliations":[{"id":37206,"text":"Professor, Massachusetts Institute of Technology: Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":741870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200075,"text":"70200075 - 2018 - Identifying and eliminating sources of recreational water quality degradation along an urban coast","interactions":[],"lastModifiedDate":"2018-10-11T10:48:41","indexId":"70200075","displayToPublicDate":"2018-05-01T10:48:35","publicationYear":"2018","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":"Identifying and eliminating sources of recreational water quality degradation along an urban coast","docAbstract":"<p><span>Restoration of highly degraded urban coastal waters often requires large-scale, complex projects, but in the interim, smaller-scale efforts can provide immediate improvements to water quality conditions for visitor use. We examined short-term efforts to improve recreational water quality near the Grand Calumet River (GC) in the Laurentian Great Lakes. Identified as an Area of Concern (AOC) by the International Joint Commission, the GC has experienced years of industrial and municipal waste discharges, and as a result, coastal beaches have some of the highest rates of beach closings (&gt;70%) in the United States. Project objectives were to identify sources of microbial contamination and to evaluate a short-term management solution to decrease beach closings: during 2015 (partial) and 2016 (season-long), canines were used to deter gull presence. Water samples were analyzed for&nbsp;</span><i>Escherichia coli</i><span>&nbsp;in 2015 and 2016, and fecal sources were evaluated using microbial source tracking markers (2015): human (</span><i>Bacteroides</i><span>&nbsp;HF183,&nbsp;</span><i>Methanobrevibacter nifH</i><span>), gull (Gull2), and dog (DogBact). Hydrometeorological conditions were simultaneously measured. Results indicated that human, gull, and canine fecal sources were present, with gulls being the dominant source.&nbsp;</span><i>Escherichia coli</i><span>&nbsp;densities were highly correlated with number of gulls present, Gull2 marker, and turbidity. Gull deterrence decreased&nbsp;</span><i>E. coli</i><span>&nbsp;and Gull2 marker detection during 2015, but numbers rebounded after program completion. The full-season program in 2016 resulted in lower&nbsp;</span><i>E. coli</i><span>&nbsp;densities and fewer beach closings. Large-scale restoration efforts are underway at this location, but short-term, small-scale projects can be useful for reducing beach closings and restoring ecosystem services.</span></p>","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, Soil Science Society of America","doi":"10.2134/jeq2017.11.0461","usgsCitation":"Nevers, M., Byappanahalli, M., Shively, D., Buszka, P.M., Jackson, P.R., and Phanikumar, M.S., 2018, Identifying and eliminating sources of recreational water quality degradation along an urban coast: Journal of Environmental Quality, v. 47, no. 5, p. 1042-1050, https://doi.org/10.2134/jeq2017.11.0461.","productDescription":"9 p.","startPage":"1042","endPage":"1050","ipdsId":"IP-092824","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":437928,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M8Y8F3","text":"USGS data release","linkHelpText":"Identify sources of high E. coli concentrations, Grand Calumet River Area of Concern beaches of southern Lake Michigan, 2016-2018"},{"id":437927,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H70F3D","text":"USGS data release","linkHelpText":"Identify sources of high E. coli concentrations, beaches of southern Lake Michigan, 2015, (version 2.0, July 2020)"},{"id":358271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.52464294433594,\n              41.580525125613846\n            ],\n            [\n              -87.24655151367188,\n              41.580525125613846\n            ],\n            [\n              -87.24655151367188,\n              41.72725537359254\n            ],\n            [\n              -87.52464294433594,\n              41.72725537359254\n            ],\n            [\n              -87.52464294433594,\n              41.580525125613846\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02ff9e4b0fc368eb539b8","contributors":{"authors":[{"text":"Nevers, Meredith B. 0000-0001-6963-6734","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":201531,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":748279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X byappan@usgs.gov","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":147923,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":748280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shively, Dawn 0000-0002-6119-924X dshively@usgs.gov","orcid":"https://orcid.org/0000-0002-6119-924X","contributorId":201533,"corporation":false,"usgs":true,"family":"Shively","given":"Dawn","email":"dshively@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":748281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phanikumar, Mantha S.","contributorId":208872,"corporation":false,"usgs":false,"family":"Phanikumar","given":"Mantha","email":"","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":748284,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70199214,"text":"70199214 - 2018 - The influence of sea level rise on the regional interdependence of coastal infrastructure","interactions":[],"lastModifiedDate":"2018-09-11T10:18:00","indexId":"70199214","displayToPublicDate":"2018-05-01T10:17:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"The influence of sea level rise on the regional interdependence of coastal infrastructure","docAbstract":"<p><span>Sea level rise (SLR) is placing both immediate and long‐term pressures on coastal communities to take protective actions. Projects in the United States, and in many locations throughout the world, generally involve local jurisdictions raising the elevation of shoreline protection elements, with limited or no analysis of the feedback between shoreline management decisions and the impacts to water levels regionally. Our study examines the impact of local shoreline development on regional flood risk and considers SLR scenarios up to 1.5&nbsp;m using a large‐scale numerical model, as an example, for San Francisco Bay. Here we show that measures to prevent flooding along an embayment shoreline in one location or subregion may increase inundation elsewhere in the system. The network of interactions occurs not only within subbasins of the Bay but also across the greater geographic extent from one end of the Bay to the other, and local jurisdiction may have either reciprocal relationships with or asymmetric impacts on one other. Importantly, the nature of the interaction network is seen to evolve with SLR: interactions are purely subregional at current sea level but with higher sea level (e.g., 1&nbsp;m of SLR), not only do the subregional interdependencies strengthen but also regional interdependences emerge.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017EF000742","usgsCitation":"Wang, R., Stacey, M., Herdman, L.M., Barnard, P., and Erikson, L.H., 2018, The influence of sea level rise on the regional interdependence of coastal infrastructure: Earth's Future, v. 6, no. 5, p. 677-688, https://doi.org/10.1002/2017EF000742.","productDescription":"12 p.","startPage":"677","endPage":"688","ipdsId":"IP-086793","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017ef000742","text":"Publisher Index Page"},{"id":357219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.67333984374999,\n              37.391981943533544\n            ],\n            [\n              -121.75872802734375,\n              37.391981943533544\n            ],\n            [\n              -121.75872802734375,\n              38.26406296833961\n            ],\n            [\n              -122.67333984374999,\n              38.26406296833961\n            ],\n            [\n              -122.67333984374999,\n              37.391981943533544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-02","publicationStatus":"PW","scienceBaseUri":"5b98a2cfe4b0702d0e842ff3","contributors":{"authors":[{"text":"Wang, Ruo-Quian","contributorId":206190,"corporation":false,"usgs":false,"family":"Wang","given":"Ruo-Quian","email":"","affiliations":[{"id":37278,"text":"University of Dundee","active":true,"usgs":false}],"preferred":false,"id":744708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stacey, Mark T.","contributorId":94531,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark T.","affiliations":[{"id":12776,"text":"Department of Civil and Environmental Engineering,  University of California, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":744709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herdman, Liv M. 0000-0002-5444-6441 lherdman@usgs.gov","orcid":"https://orcid.org/0000-0002-5444-6441","contributorId":149964,"corporation":false,"usgs":true,"family":"Herdman","given":"Liv","email":"lherdman@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744711,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}