Adaptive management is widely advocated to improve environmental management. Derivations of optimal strategies for adaptive management, however, tend to be case specific and time consuming. In contrast, managers might seek relatively simple guidance, such as insight into when a new potential management action should be considered, and how much effort should be expended on trialing such an action. We constructed a two-time-step scenario where a manager is choosing between two possible management actions. The manager has a total budget that can be split between a learning phase and an implementation phase. We use this scenario to investigate when and how much a manager should invest in learning about the management actions available. The optimal investment in learning can be understood intuitively by accounting for the expected value of sample information, the benefits that accrue during learning, the direct costs of learning, and the opportunity costs of learning. We find that the optimal proportion of the budget to spend on learning is characterized by several critical thresholds that mark a jump from spending a large proportion of the budget on learning to spending nothing. For example, as sampling variance increases, it is optimal to spend a larger proportion of the budget on learning, up to a point: if the sampling variance passes a critical threshold, it is no longer beneficial to invest in learning. Similar thresholds are observed as a function of the total budget and the difference in the expected performance of the two actions. We illustrate how this model can be applied using a case study of choosing between alternative rearing diets for hihi, an endangered New Zealand passerine. Although the model presented is a simplified scenario, we believe it is relevant to many management situations. Managers often have relatively short time horizons for management, and might be reluctant to consider further investment in learning and monitoring beyond collecting data from a single time period.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1515","usgsCitation":"Moore, A.L., Walker, L., Runge, M.C., McDonald-Madden, E., and McCarthy, M.A., 2017, Two-step adaptive management for choosing between two management actions: Ecological Applications, v. 27, no. 4, p. 1210-1222, https://doi.org/10.1002/eap.1515.","productDescription":"13 p.","startPage":"1210","endPage":"1222","ipdsId":"IP-076800","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":490045,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-01605477","text":"External Repository"},{"id":343215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357277,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70189119/70189119.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}}],"volume":"27","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-19","publicationStatus":"PW","scienceBaseUri":"59576334e4b0d1f9f051b4ff","contributors":{"authors":[{"text":"Moore, Alana L.","contributorId":194047,"corporation":false,"usgs":false,"family":"Moore","given":"Alana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":703051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Leila","contributorId":194048,"corporation":false,"usgs":false,"family":"Walker","given":"Leila","email":"","affiliations":[],"preferred":false,"id":703052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":703050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald-Madden, Eve","contributorId":139968,"corporation":false,"usgs":false,"family":"McDonald-Madden","given":"Eve","email":"","affiliations":[{"id":13337,"text":"CSIRO Ecosystem Services, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":703053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarthy, Michael A","contributorId":173778,"corporation":false,"usgs":false,"family":"McCarthy","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":703054,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189706,"text":"70189706 - 2017 - Land before water: The relative temporal sequence of human alteration of freshwater ecosystems in the conterminous United States","interactions":[],"lastModifiedDate":"2025-01-29T15:51:33.601712","indexId":"70189706","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":815,"text":"Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Land before water: The relative temporal sequence of human alteration of freshwater ecosystems in the conterminous United States","docAbstract":"Human alteration of ecosystems prior to Euro-American contact in the area that became the\nconterminous United States disproportionately affected terrestrial systems compared to freshwater\necosystems, primarily through the use of\nfire and agriculture in some regions of the United States. After\ncirca 1600 AD, trapping of beaver, along with intensive modification of rivers and wetlands for navigation,\nmining,\nflood control, power generation, and agriculture, substantially altered river corridors throughout\nthe country. River corridor here refers to channels of all sizes, from headwater streams to very large rivers,\nand includes\nfloodplains and wetlands associated with channels. Literature suggests that ecosystem\nalteration by humans prior to and during Euro-American settlement changed from predominantly\nterrestrial to both terrestrial and freshwater in a manner that was time-transgressive with Euro-\nAmerican colonization and U.S. settlement between the 17th and 19th centuries. The extent and intensity\nof post-Euro-American alteration of freshwater environments in the United States has resulted in\nwidespread river metamorphosis toward more geomorphically and ecologically homogenous systems.\nRecognition of the rapidity and ubiquity of this alteration, and the consequent instability of many\ncontemporary river corridors, should underpin contemporary river management","language":"English","publisher":"Elsevier","doi":"10.1016/j.ancene.2017.05.004","usgsCitation":"Wohl, E., Lininger, K.B., and Baron, J., 2017, Land before water: The relative temporal sequence of human alteration of freshwater ecosystems in the conterminous United States: Anthropocene, v. 18, p. 27-46, https://doi.org/10.1016/j.ancene.2017.05.004.","productDescription":"20 p.","startPage":"27","endPage":"46","ipdsId":"IP-086054","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":357276,"rank":2,"type":{"id":42,"text":"Open Access USGS 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\"}}]}","volume":"18","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5971c1c1e4b0ec1a4885dabc","contributors":{"authors":[{"text":"Wohl, Ellen 0000-0001-7435-5013","orcid":"https://orcid.org/0000-0001-7435-5013","contributorId":194945,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[],"preferred":false,"id":705879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lininger, Katherine B. 0000-0003-0378-9505","orcid":"https://orcid.org/0000-0003-0378-9505","contributorId":194946,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":705880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":705878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188842,"text":"70188842 - 2017 - Estimating incision healing rate for surgically implanted acoustic transmitters from recaptured fish","interactions":[],"lastModifiedDate":"2018-03-15T20:17:18","indexId":"70188842","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Estimating incision healing rate for surgically implanted acoustic transmitters from recaptured fish","docAbstract":"Background Intracoelomic implantation of electronic tags has become a common method in fishery research, but rarely are fish examined by scientists after release to understand the extent that surgical incisions have healed. Walleye (Sander vitreus) are a valuable, highly exploited fishery resource in the Laurentian Great Lakes. Here, fishery capture of walleye with internal acoustic transmitters combined with a high reward program provided multiple opportunities to examine photographs and quantify the status of surgical incisions. Walleye (n = 926) from reef and river spawning populations in Lake Erie and Lake Huron were implanted with acoustic transmitters during spring spawning events from 2011 to 2016. Incisions were closed with polydioxanone monofilament using two to three interrupted sutures. Out of 276 recaptured fish, 60 incision sites were clearly visible in photographs, and these were scored by two independent readers for incision closure, inflammation, and the presence of sutures.
Results While incision sites were completely closed by 61 days post-release (95% CI 44–94), sutures remained for up to 866 days. Sutures were expelled serially during a protracted period, and the probability of observing at least one suture in a recaptured fish declined below 50% after 673 days (95% CI 442–1016). Inflammation at the incision increased during the first 71 days and then declined monotonically, remaining detectable at low levels.
Conclusion Our results emphasized that sutures remained in free-ranging fish past the time when they were beneficial for incision healing. Most dissolvable sutures have been designed for use in endotherms where the body temperature and internal milieu differ dramatically from the conditions experienced by fishes in temperate climates. Identification of new suture materials for fish that facilitate healing while absorbing or dissolving in a reasonable period (e.g., a few weeks to three months) in colder temperatures (e.g., <12 °C) would be beneficial to mitigate potential adverse impacts from inflammation at the incision.
","language":"English","publisher":"BMC Publications","doi":"10.1186/s40317-017-0130-2","usgsCitation":"Schoonyan, A., Kraus, R.T., Faust, M.D., Vandergoot, C., Cooke, S., Cook, H., Hayden, T.A., and Krueger, C., 2017, Estimating incision healing rate for surgically implanted acoustic transmitters from recaptured fish: Animal Biotelemetry, v. 5, no. 15, 8 p., https://doi.org/10.1186/s40317-017-0130-2.","productDescription":"8 p.","ipdsId":"IP-083296","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":461475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-017-0130-2","text":"Publisher Index Page"},{"id":352587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"15","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-21","publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc42e","contributors":{"authors":[{"text":"Schoonyan, Abby 0000-0002-1170-560X aschoonyan@usgs.gov","orcid":"https://orcid.org/0000-0002-1170-560X","contributorId":193493,"corporation":false,"usgs":true,"family":"Schoonyan","given":"Abby","email":"aschoonyan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faust, Matthew D.","contributorId":145776,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":700606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":700608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, H. Andrew","contributorId":181530,"corporation":false,"usgs":false,"family":"Cook","given":"H. Andrew","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":700609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Todd A. 0000-0002-0451-0425 thayden@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-0425","contributorId":5987,"corporation":false,"usgs":true,"family":"Hayden","given":"Todd","email":"thayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":700611,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189120,"text":"70189120 - 2017 - Yellowstone grizzly bears: Ecology and conservation of an icon of wildness","interactions":[],"lastModifiedDate":"2017-06-30T13:17:35","indexId":"70189120","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Yellowstone grizzly bears: Ecology and conservation of an icon of wildness","docAbstract":"No abstract available.
Suspended sediment concentration is an important estuarine health indicator. Estuarine ecosystems rely on the maintenance of habitat conditions, which are changing due to direct human impact and climate change. This study aims to evaluate the impact of climate change relative to engineering measures on estuarine fine sediment dynamics and sediment budgets. We use the highly engineered San Francisco Bay-Delta system as a case study. We apply a process-based modeling approach (Delft3D-FM) to assess the changes in hydrodynamics and sediment dynamics resulting from climate change and engineering scenarios. The scenarios consider a direct human impact (shift in water pumping location), climate change (sea level rise and suspended sediment concentration decrease), and abrupt disasters (island flooding, possibly as the results of an earthquake). Levee failure has the largest impact on the hydrodynamics of the system. Reduction in sediment input from the watershed has the greatest impact on turbidity levels, which are key to primary production and define habitat conditions for endemic species. Sea level rise leads to more sediment suspension and a net sediment export if little room for accommodation is left in the system due to continuous engineering works. Mitigation measures like levee reinforcement are effective for addressing direct human impacts, but less effective for a persistent, widespread, and increasing threat like sea level rise. Progressive adaptive mitigation measures to the changes in sediment and flow dynamics resulting from sea level rise may be a more effective strategy. Our approach shows that a validated process-based model is a useful tool to address long-term (decades to centuries) changes in sediment dynamics in highly engineered estuarine systems. In addition, our modeling approach provides a useful basis for long-term, process-based studies addressing ecosystem dynamics and health.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-017-1954-8","usgsCitation":"Achete, F., Van der Wegen, M., Roelvink, J.A., and Jaffe, B.E., 2017, How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?: Climatic Change, v. 142, p. 375-389, https://doi.org/10.1007/s10584-017-1954-8.","productDescription":"15 p.","startPage":"375","endPage":"389","ipdsId":"IP-081766","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-017-1954-8","text":"Publisher Index Page"},{"id":343222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.3709716796875,\n 37.26968150969715\n ],\n [\n -120.6243896484375,\n 37.26968150969715\n ],\n [\n -120.6243896484375,\n 39.39799959542146\n ],\n [\n -123.3709716796875,\n 39.39799959542146\n ],\n [\n -123.3709716796875,\n 37.26968150969715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"142","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59576333e4b0d1f9f051b4f9","contributors":{"authors":[{"text":"Achete, Fernanda","contributorId":174686,"corporation":false,"usgs":false,"family":"Achete","given":"Fernanda","email":"","affiliations":[{"id":27497,"text":"UNESCO-IHE, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":703061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":703062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelvink, Jan Adriaan","contributorId":194052,"corporation":false,"usgs":false,"family":"Roelvink","given":"Jan","email":"","middleInitial":"Adriaan","affiliations":[],"preferred":false,"id":703063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":703060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187594,"text":"fs20173033 - 2017 - Assessment of continuous oil and gas resources in the Pannonian Basin Province, Hungary, 2016","interactions":[],"lastModifiedDate":"2017-06-30T08:33:31","indexId":"fs20173033","displayToPublicDate":"2017-06-29T16:55:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3033","title":"Assessment of continuous oil and gas resources in the Pannonian Basin Province, Hungary, 2016","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable continuous resources of 119 million barrels of oil and 944 billion cubic feet of gas in the Hungarian part of the Pannonian Basin Province.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173033","usgsCitation":"Schenk, C.J., Klett, T.R., Le, P.A., Brownfield, M.E., and Leathers-Miller, H.M., 2017, Assessment of continuous oil and gas resources in the Pannonian Basin Province, Hungary, 2016: U.S. Geological Survey Fact Sheet 2017–3033, 2 p., https://doi.org/10.3133/fs20173033.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-082609","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":342869,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3033/fs20173033.pdf","text":"Report","size":"392 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3033"},{"id":342868,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3033/coverthb.jpg"}],"country":"Hungary","otherGeospatial":"Pannonian Basin 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U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The U.S. Geological Survey (USGS) has a long history of advancing the traditional Earth science disciplines and identifying opportunities to integrate USGS science across disciplines to address complex societal problems. The USGS science strategy for 2007–2017 laid out key challenges in disciplinary and interdisciplinary arenas, culminating in a call for increased focus on a number of crosscutting science directions. Ten years on, to further the goal of integrated science and at the request of the Executive Leadership Team (ELT), a workshop with three dozen invited scientists spanning different disciplines and career stages in the Bureau convened on February 7–10, 2017, at the USGS John Wesley Powell Center for Analysis and Synthesis in Fort Collins, Colorado.
The workshop focused on identifying “grand challenges” for integrated USGS science. Individual participants identified nearly 70 potential grand challenges before the workshop and through workshop discussions. After discussion, four overarching grand challenges emerged:
Participants also identified a “comprehensive science challenge” that highlights the development of integrative science, data, models, and tools—all interacting in a modular framework—that can be used to address these and other future grand challenges:
EarthMAP is our long-term vision for an integrated scientific framework that spans traditional scientific boundaries and disciplines, and integrates the full portfolio of USGS science: research, monitoring, assessment, analysis, and information delivery.
The Department of Interior, and the Nation in general, have a vast array of information needs. The USGS meets these needs by having a broadly trained and agile scientific workforce. Encouraging and supporting cross-discipline engagement would position the USGS to tackle complex and multifaceted scientific and societal challenges in the 21st Century.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171076","usgsCitation":"Jenni, K.E., Goldhaber, M.B., Betancourt, J.L., Baron, J.S., Bristol, R.S., Cantrill, Mary, Exter, P.E., Focazio, M.J., Haines, J.W., Hay, L.E., Hsu, Leslie, Labson, V.F., Lafferty, K.D., Ludwig, K.A., Milly, P.C., Morelli, T.L., Morman, S.A., Nassar, N.T., Newman, T.R., Ostroff, A.C., Read, J.S., Reed, S.C., Shapiro, C.D., Smith, R.A., Sanford, W.E., Sohl, T.L., Stets, E.G., Terando, A.J., Tillitt, D.E., Tischler, M.A., Toccalino, P.L., Wald, D.J., Waldrop, M.P., Wein, Anne, Weltzin, J.F., and Zimmerman, C.E., 2017, Grand challenges for integrated USGS science—A workshop report: U.S. Geological Survey Open-File Report 2017–1076, 94 p., https://doi.org/10.3133/ofr20171076.","productDescription":"94 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-085873","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":343080,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1076/ofr20171076.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1076"},{"id":343079,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1076/coverthbtest.jpg"}],"contact":"John Wesley Powell Center
U.S. Geological Survey
2150 Centre Avenue
Building C
Fort Collins, CO 80526-8118
https://powellcenter.usgs.gov/
The U.S. Geological Survey (USGS) National Geospatial Program is scanning published USGS 1:250,000-scale and larger topographic maps printed between 1884, the inception of the topographic mapping program, and 2006. The goal of this project, which began publishing the historical scanned maps in 2011, is to provide a digital repository of USGS topographic maps, available to the public at no cost. For more than 125 years, USGS topographic maps have accurately portrayed the complex geography of the Nation. The USGS is the Nation’s largest producer of printed topographic maps, and prior to 2006, USGS topographic maps were created using traditional cartographic methods and printed using a lithographic printing process. As the USGS continues the release of a new generation of topographic maps (US Topo) in electronic form, the topographic map remains an indispensable tool for government, science, industry, land management planning, and leisure.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip179","usgsCitation":" Fishburn, K.A., and Allord, G.J., 2017, Historical Topographic Map Collection bookmark: U.S. Geological Survey General Information Product 179, 2 p., https://doi.org/10.3133/gip179.","productDescription":"Bookmark","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-084917","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":342798,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0179/gip179_bookmark2.pdf","text":"Report","linkHelpText":"- Bookmark with front 2"},{"id":342796,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0179/coverthb.jpg"},{"id":342799,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0179/gip179_bookmark3.pdf","text":"Report","linkHelpText":"- Bookmark with front 3"},{"id":342797,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0179/gip179_bookmark1.pdf","text":"Report","linkHelpText":"- Bookmark with front 1"}],"contact":"National Geospatial Program
Historical Topographic Map Collection
U.S. Geological Survey
MS 511 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
The south Pacific iguanas (Brachylophus) currently have three recognized living species in Fiji. Recent surveys have uncovered more specific variation (morphological and genetic) within the genus and have better defined the geographic ranges of the named species. One of these recent discoveries is a strikingly different iguana from all other island populations in Fiji which is restricted to Gau Island of the Lomaiviti Province. Gau is the fifth largest island in Fiji and maintains excellent upland forests in the higher elevations. We describe this population from Gau Island as a new species, Brachylophus gau sp. nov., in recognition of its type locality.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.4273.3.5","usgsCitation":"Fisher, R.N., Niukula, J., Watling, D., and Harlow, P.S., 2017, A new species of iguana Brachylophus Cuvier 1829 (Sauria: Iguania: Iguanidae) from Gau Island, Fiji Islands: Zootaxa, v. 4273, no. 3, p. 407-422, https://doi.org/10.11646/zootaxa.4273.3.5.","productDescription":"16 p.","startPage":"407","endPage":"422","ipdsId":"IP-081571","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/zootaxa.4273.3.5","text":"Publisher Index Page"},{"id":343127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Fiji Islands","otherGeospatial":"Gau Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 179.3023681640625,\n -17.934315530810014\n ],\n [\n 179.2529296875,\n -17.934315530810014\n ],\n [\n 179.219970703125,\n -17.978733095556155\n ],\n [\n 179.241943359375,\n -18.049255668808136\n ],\n [\n 179.27764892578125,\n -18.054478439496062\n ],\n [\n 179.34356689453125,\n -18.1249706393865\n ],\n [\n 179.37652587890625,\n -18.072756914578996\n ],\n [\n 179.3023681640625,\n -17.934315530810014\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4273","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-06","publicationStatus":"PW","scienceBaseUri":"595611b0e4b0d1f9f050673f","contributors":{"authors":[{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":702420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niukula, Jone","contributorId":150083,"corporation":false,"usgs":false,"family":"Niukula","given":"Jone","affiliations":[{"id":17904,"text":"National Trust of Fiji Islands, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":702421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watling, Dick","contributorId":193849,"corporation":false,"usgs":false,"family":"Watling","given":"Dick","email":"","affiliations":[],"preferred":false,"id":702422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harlow, Peter S.","contributorId":150093,"corporation":false,"usgs":false,"family":"Harlow","given":"Peter","email":"","middleInitial":"S.","affiliations":[{"id":17909,"text":"Taronga Zoo, Mosman, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":702423,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189008,"text":"70189008 - 2017 - On the probability distribution of daily streamflow in the United States","interactions":[],"lastModifiedDate":"2018-04-03T11:40:55","indexId":"70189008","displayToPublicDate":"2017-06-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"On the probability distribution of daily streamflow in the United States","docAbstract":"Daily streamflows are often represented by flow duration curves (FDCs), which illustrate the frequency with which flows are equaled or exceeded. FDCs have had broad applications across both operational and research hydrology for decades; however, modeling FDCs has proven elusive. Daily streamflow is a complex time series with flow values ranging over many orders of magnitude. The identification of a probability distribution that can approximate daily streamflow would improve understanding of the behavior of daily flows and the ability to estimate FDCs at ungaged river locations. Comparisons of modeled and empirical FDCs at nearly 400 unregulated, perennial streams illustrate that the four-parameter kappa distribution provides a very good representation of daily streamflow across the majority of physiographic regions in the conterminous United States (US). Further, for some regions of the US, the three-parameter generalized Pareto and lognormal distributions also provide a good approximation to FDCs. Similar results are found for the period of record FDCs, representing the long-term hydrologic regime at a site, and median annual FDCs, representing the behavior of flows in a typical year.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-21-3093-2017","usgsCitation":"Blum, A., Archfield, S.A., and Vogel, R.M., 2017, On the probability distribution of daily streamflow in the United States: Hydrology and Earth System Sciences, v. 21, no. 6, p. 3093-3103, https://doi.org/10.5194/hess-21-3093-2017.","productDescription":"11 p. 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\"}}]}\n","volume":"21","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-28","publicationStatus":"PW","scienceBaseUri":"595611b0e4b0d1f9f0506742","contributors":{"authors":[{"text":"Blum, Annalise G.","contributorId":193846,"corporation":false,"usgs":false,"family":"Blum","given":"Annalise G.","affiliations":[],"preferred":false,"id":702403,"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":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":702402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":702404,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189106,"text":"70189106 - 2017 - Rare earth mineral potential in the southeastern U.S. Coastal Plain from integrated geophysical, geochemical, and geological approaches","interactions":[],"lastModifiedDate":"2025-01-29T15:49:31.797657","indexId":"70189106","displayToPublicDate":"2017-06-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth mineral potential in the southeastern U.S. Coastal Plain from integrated geophysical, geochemical, and geological approaches","docAbstract":"We combined geophysical, geochemical, mineralogical, and geological data to evaluate the regional presence of rare earth element (REE)−bearing minerals in heavy mineral sand deposits of the southeastern U.S. Coastal Plain. We also analyzed regional differences in these data to determine probable sedimentary provenance. Analyses of heavy mineral separates covering the region show strong correlations between thorium, monazite, and xenotime, suggesting that radiometric equivalent thorium (eTh) can be used as a geophysical proxy for those REE-bearing minerals. Airborne radiometric data collected during the National Uranium Resource Evaluation (NURE) program cover the southeastern United States with line spacing varying from ∼2 to 10 km. These data show eTh highs over Cretaceous and Tertiary Coastal Plain sediments from the Cape Fear arch in North Carolina to eastern Alabama; these highs decrease with distance from the Piedmont. Quaternary sediments along the modern coasts show weaker eTh anomalies, except near coast-parallel ridges from South Carolina to northern Florida. Prominent eTh anomalies are also observed over large riverbeds and their floodplains, even north of the Cape Fear arch where surrounding areas are relatively low. These variations were verified using ground geophysical measurements and sample analyses, indicating that radiometric methods are a useful exploration tool at varying scales. Further analyses of heavy mineral separates showed regional differences, not only in concentrations of monazite, but also of rutile and staurolite, and in magnetic susceptibility. The combined properties suggest the presence of subregions where heavy mineral sediments are primarily sourced from high-grade metamorphic, low-grade metamorphic, or igneous terrains, or where they represent a mixing of these sources. Comparisons between interpreted sources of heavy mineral sands near the Fall Line and igneous and metamorphic Piedmont and Blue Ridge units showed a strong correspondence with rocks closest to the Fall Line and poor correspondence with rocks farther inland. This strongly suggests that the primary source of those heavy minerals, especially monazite, is the rocks that formed the rocky coast that was present during opening of the Atlantic Ocean, which in turn indicates the importance of coastal processes in forming heavy mineral sand concentrations. Furthermore, narrow radiometric eTh and K anomalies are associated with major rivers, indicating limited spatial influence of fluvial processes. Later coastal plain sediment deposition appears to have involved reworking of sediments, providing an “inheritance” of the rocky coast composition that persists for some distance from the Fall Line. However, this inheritance is reduced with distance, and sediments within ∼100 km of the coast in Georgia and Florida exhibit properties indicative of mixing from multiple sources.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31481.1","usgsCitation":"Shah, A.K., Bern, C.R., Van Gosen, B.S., Daniels, D.L., Benzel, W., Budahn, J.R., Ellefsen, K.J., Karst, A.T., and Davis, R., 2017, Rare earth mineral potential in the southeastern U.S. Coastal Plain from integrated geophysical, geochemical, and geological approaches: GSA Bulletin, v. 129, no. 9-10, p. 1140-1157, https://doi.org/10.1130/B31481.1.","productDescription":"18 p.","startPage":"1140","endPage":"1157","ipdsId":"IP-066088","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357278,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70189106/70189106.pdf","text":"USGS open-access version of 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cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":166816,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":702899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, David L. 0000-0003-0599-8036 dave@usgs.gov","orcid":"https://orcid.org/0000-0003-0599-8036","contributorId":1792,"corporation":false,"usgs":true,"family":"Daniels","given":"David","email":"dave@usgs.gov","middleInitial":"L.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":702905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science 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Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-based trend analysis of lake dynamics across northern permafrost regions","docAbstract":"Lakes are a ubiquitous landscape feature in northern permafrost regions. They have a strong impact on carbon, energy and water fluxes and can be quite responsive to climate change. The monitoring of lake change in northern high latitudes, at a sufficiently accurate spatial and temporal resolution, is crucial for understanding the underlying processes driving lake change. To date, lake change studies in permafrost regions were based on a variety of different sources, image acquisition periods and single snapshots, and localized analysis, which hinders the comparison of different regions. Here we present, a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and object-based lake detection, to analyze and compare the individual, local and regional lake dynamics of four different study sites (Alaska North Slope, Western Alaska, Central Yakutia, Kolyma Lowland) in the northern permafrost zone from 1999 to 2014. Regional patterns of lake area change on the Alaska North Slope (-0.69%), Western Alaska (-2.82%), and Kolyma Lowland (-0.51%) largely include increases due to thermokarst lake expansion, but more dominant lake area losses due to catastrophic lake drainage events. In contrast, Central Yakutia showed a remarkable increase in lake area of 48.48%, likely resulting from warmer and wetter climate conditions over the latter half of the study period. Within all study regions, variability in lake dynamics was associated with differences in permafrost characteristics, landscape position (i.e. upland vs. lowland), and surface geology. With the global availability of Landsat data and a consistent methodology for processing the input data derived from robust trends of multi-spectral indices, we demonstrate a transferability, scalability and consistency of lake change analysis within the northern permafrost region.","language":"English","publisher":"Multidisciplinary Digital Publishing Institute (MDPI)","doi":"10.3390/rs9070640","usgsCitation":"Nitze, I., Grosse, G., Jones, B.M., Arp, C.D., Ulrich, M., Federov, A., and Veremeeva, A., 2017, Landsat-based trend analysis of lake dynamics across northern permafrost regions: Remote Sensing, v. 9, no. 7, 640, 28 p., https://doi.org/10.3390/rs9070640.","productDescription":"640, 28 p.","ipdsId":"IP-087096","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":469730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9070640","text":"Publisher Index 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The Flagstaff Science Campus (FSC) is located in Flagstaff, Arizona, which is situated in the northern part of the State, home to a wide variety of landscapes and natural resources, including (1) young volcanoes in the San Francisco Volcanic Field, (2) the seven ecological life zones of the San Francisco Peaks, (3) the extensive geologic record of the Colorado Plateau and Grand Canyon, (4) the Colorado River and its perennial, ephemeral, and intermittent tributaries, and (5) a multitude of canyons, mountains, arroyos, and plains. More than 200 scientists, technicians, and support staff provide research, monitoring, and technical advancements in planetary geology and mapping, biology and ecology, Earth-based geology, hydrology, and changing climate and landscapes. Scientists at the FSC work in collaboration with multiple State, Federal, Tribal, municipal, and academic partners to address regional, national, and global environmental issues, and provide scientific outreach to the general public.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173051","usgsCitation":"Hart, R.J., Vaughan, R.G., McDougall, K., Wojtowicz, T., and Thenkenbail, P., 2017, The U.S. Geological Survey Flagstaff Science Campus—Providing expertise on planetary science, ecology, water resources, geologic processes, and human interactions with the Earth: U.S. Geological Survey Fact Sheet 2017–3051, 2 p., https://doi.org/10.3133/fs20173051.","productDescription":"2 p.","ipdsId":"IP-086978","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":343101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3051/coverthb.jpg"},{"id":343102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3051/fs20173051.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3051"}],"country":"United States","state":"Arizona","city":"Flagstaff","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.73027038574219,\n 35.139282901732635\n ],\n [\n -111.53594970703125,\n 35.139282901732635\n ],\n [\n -111.53594970703125,\n 35.27084997704059\n ],\n [\n -111.73027038574219,\n 35.27084997704059\n ],\n [\n -111.73027038574219,\n 35.139282901732635\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"U.S. Geological Survey
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Seismic noise interferometry allows the continuous and real-time measurement of relative seismic velocity through a volcanic edifice. Because seismic velocity is sensitive to the pressurization state of the system, this method is an exciting new monitoring tool at active volcanoes. Despite the potential of this tool, no studies have yet comprehensively compared velocity to other geophysical observables on a short-term time scale at a volcano over a significant length of time. We use volcanic tremor (~0.3 to 1.0 Hz) at Kīlauea as a passive source for interferometry to measure relative velocity changes with time. By cross-correlating the vertical component of day-long seismic records between ~230 station pairs, we extract coherent and temporally consistent coda wave signals with time lags of up to 120 s. Our resulting time series of relative velocity shows a remarkable correlation between relative velocity and the radial tilt record measured at Kīlauea summit, consistently correlating on a time scale of days to weeks for almost the entire study period (June 2011 to November 2015). As the summit continually deforms in deflation-inflation events, the velocity decreases and increases, respectively. Modeling of strain at Kīlauea suggests that, during inflation of the shallow magma reservoir (1 to 2 km below the surface), most of the edifice is dominated by compression—hence closing cracks and producing faster velocities—and vice versa. The excellent correlation between relative velocity and deformation in this study provides an opportunity to understand better the mechanisms causing seismic velocity changes at volcanoes, and therefore realize the potential of passive interferometry as a monitoring tool.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.1700219","usgsCitation":"Donaldson, C., Caudron, C., Green, R.G., Thelen, W., and White, R.S., 2017, Relative seismic velocity variations correlate with deformation at Kilauea volcano: Science Advances, v. 3, no. 6, e1700219, 11 p., https://doi.org/10.1126/sciadv.1700219.","productDescription":"e1700219, 11 p.","ipdsId":"IP-083447","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1700219","text":"Publisher Index Page"},{"id":463355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.325723708716,\n 19.49947196116156\n ],\n [\n -155.325723708716,\n 19.284036313524524\n ],\n [\n -155.0991657820145,\n 19.284036313524524\n ],\n [\n -155.0991657820145,\n 19.49947196116156\n ],\n [\n -155.325723708716,\n 19.49947196116156\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Donaldson, Clare","contributorId":345696,"corporation":false,"usgs":false,"family":"Donaldson","given":"Clare","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":917281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caudron, Corentin 0000-0002-3748-0007","orcid":"https://orcid.org/0000-0002-3748-0007","contributorId":224799,"corporation":false,"usgs":false,"family":"Caudron","given":"Corentin","email":"","affiliations":[{"id":40942,"text":"Université Grenoble Alpes, Université Savoie, ISTerre, Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":917282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Robert G.","contributorId":345697,"corporation":false,"usgs":false,"family":"Green","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":917283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Robert S","contributorId":345698,"corporation":false,"usgs":false,"family":"White","given":"Robert","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":917285,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226987,"text":"70226987 - 2017 - New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska","interactions":[],"lastModifiedDate":"2021-12-23T15:34:12.285722","indexId":"70226987","displayToPublicDate":"2017-06-28T09:27:47","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska","docAbstract":"Landslide-generated tsunamis pose significant hazards and involve complex, multiphase physics that are challenging to model. We present a new methodology in which our depth-averaged two-phase model D-Claw is used to seamlessly simulate all stages of landslide dynamics as well as tsunami generation, propagation, and inundation. Because the model describes the evolution of solid and fluid volume fractions, it treats both landslides and tsunamis as special cases of a more general class of phenomena. Therefore, the landslide and tsunami can be efficiently simulated as a single-layer continuum with evolving solid-grain concentrations, and with wave generation via direct longitudinal momentum transfer—a dominant physical mechanism that has not been previously addressed in this manner. To test our methodology, we used D-Claw to model a large subaerial landslide and resulting tsunami that occurred on 17 October 2015, in Taan Fjord near the terminus of Tyndall Glacier, Alaska. Modeled shoreline inundation patterns compare well with those observed in satellite imagery.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL074341","usgsCitation":"George, D.L., Iverson, R.M., and Cannon, C.M., 2017, New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska: Geophysical Research Letters, v. 44, no. 14, p. 7276-7284, https://doi.org/10.1002/2017GL074341.","productDescription":"9 p.","startPage":"7276","endPage":"7284","ipdsId":"IP-079249","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":393361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tyndall Glacier landslide","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.21963500976562,\n 60.1524422143808\n ],\n [\n -141.1372375488281,\n 60.1524422143808\n ],\n [\n -141.1372375488281,\n 60.18796390589544\n ],\n [\n -141.21963500976562,\n 60.18796390589544\n ],\n [\n -141.21963500976562,\n 60.1524422143808\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"14","noUsgsAuthors":false,"publicationDate":"2017-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":829095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":829096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":829097,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188953,"text":"70188953 - 2017 - Designing a solution to enable agency-academic scientific collaboration for disasters","interactions":[],"lastModifiedDate":"2017-06-28T14:59:04","indexId":"70188953","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Designing a solution to enable agency-academic scientific collaboration for disasters","docAbstract":"As large-scale environmental disasters become increasingly frequent and more severe globally, people and organizations that prepare for and respond to these crises need efficient and effective ways to integrate sound science into their decision making. Experience has shown that integrating nongovernmental scientific expertise into disaster decision making can improve the quality of the response, and is most effective if the integration occurs before, during, and after a crisis, not just during a crisis. However, collaboration between academic, government, and industry scientists, decision makers, and responders is frequently difficult because of cultural differences, misaligned incentives, time pressures, and legal constraints. Our study addressed this challenge by using the Deep Change Method, a design methodology developed by Stanford ChangeLabs, which combines human-centered design, systems analysis, and behavioral psychology. We investigated underlying needs and motivations of government agency staff and academic scientists, mapped the root causes underlying the relationship failures between these two communities based on their experiences, and identified leverage points for shifting deeply rooted perceptions that impede collaboration. We found that building trust and creating mutual value between multiple stakeholders before crises occur is likely to increase the effectiveness of problem solving. We propose a solution, the Science Action Network, which is designed to address barriers to scientific collaboration by providing new mechanisms to build and improve trust and communication between government administrators and scientists, industry representatives, and academic scientists. The Science Action Network has the potential to ensure cross-disaster preparedness and science-based decision making through novel partnerships and scientific coordination.
","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ES-09246-220218","usgsCitation":"Mease, L.A., Gibbs-Plessl, T., Erickson, A., Ludwig, K.A., Reddy, C.M., and Lubchenco, J., 2017, Designing a solution to enable agency-academic scientific collaboration for disasters: Ecology and Society, v. 22, no. 2, Article 18; 18 p. , https://doi.org/10.5751/ES-09246-220218.","productDescription":"Article 18; 18 p. ","ipdsId":"IP-076631","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":461491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09246-220218","text":"Publisher Index Page"},{"id":343063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publicComments":"Article 18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1bae4b0d1f9f05b37a6","contributors":{"authors":[{"text":"Mease, Lindley A.","contributorId":193719,"corporation":false,"usgs":false,"family":"Mease","given":"Lindley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":701596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs-Plessl, Theodora","contributorId":193720,"corporation":false,"usgs":false,"family":"Gibbs-Plessl","given":"Theodora","email":"","affiliations":[],"preferred":false,"id":701597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Ashley","contributorId":193721,"corporation":false,"usgs":false,"family":"Erickson","given":"Ashley","email":"","affiliations":[],"preferred":false,"id":701598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ludwig, K. A. 0000-0002-0935-9410 kaludwig@usgs.gov","orcid":"https://orcid.org/0000-0002-0935-9410","contributorId":596,"corporation":false,"usgs":true,"family":"Ludwig","given":"K.","email":"kaludwig@usgs.gov","middleInitial":"A.","affiliations":[{"id":5059,"text":"Office of the Chief Scientist for National Hazards","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":701595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, Christopher M.","contributorId":193722,"corporation":false,"usgs":false,"family":"Reddy","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":701599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lubchenco, Jane","contributorId":193723,"corporation":false,"usgs":false,"family":"Lubchenco","given":"Jane","email":"","affiliations":[],"preferred":false,"id":701600,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188977,"text":"70188977 - 2017 - Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics","interactions":[],"lastModifiedDate":"2021-06-07T11:56:43.805323","indexId":"70188977","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics","docAbstract":"We used bioenergetic simulations combined with satellite-measured water temperature and estimates of algal food availability to predict the habitat suitability of Lake Michigan for adult silver carp (Hypophthalmichthys \r\nmolitrix) and bighead carp (H. nobilis). Depending on water temperature, we found that bigheaded carp require ambient algal concentrations between 1 and 7 μg chlorophyll/L or between 0.25 × 105 and 1.20 × 105 cells/mL \r\nMicrocystis to maintain body weight. When the bioenergetics model is forced with the observed average annual temperature cycle, our simulations predicted silver carp bioenergetics predicted annual weight change ranging \r\nfrom 9% weight loss to 23% gain; bighead carp ranged from 68 to 177% weight gain. Algal concentrations b4 μg chlorophyll/L and b200,000 cells/mL were below the detection limits of the remote sensing method. However, all areas with detectable algae have sufficient concentrations of algal foods for bigheaded carp weight-maintenance and growth. Those areas are predominately along the nearshore areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.03.005","usgsCitation":"Anderson, K.R., Chapman, D., Wynne, T.T., and Paukert, C.P., 2017, Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics: Journal of Great Lakes Research, v. 43, no. 3, p. 90-99, https://doi.org/10.1016/j.jglr.2017.03.005.","productDescription":"10 p.","startPage":"90","endPage":"99","ipdsId":"IP-077126","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":343065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":702084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188985,"text":"70188985 - 2017 - Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki","interactions":[],"lastModifiedDate":"2017-07-10T14:35:39","indexId":"70188985","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki","title":"Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki","docAbstract":"Macrhybopsis reproduction and propagule traits were studied in the laboratory using two temperature regimes and three hormone treatments to determine which methods produced the most spawns. Only sicklefin chub Macrhybopsis meeki spawned successfully although sturgeon chub Macrhybopsis gelida released unfertilized eggs. All temperature and hormone treatments produced M. meeki spawns, but two treatments had similar success rates at 44 and 43%, consisting of a constant daily temperature with no hormone added, or daily temperature fluctuations with hormone added to the water. Spawns consisted of multiple successful demersal circular swimming spawning embraces interspersed with circular swims without embraces. The most spawns observed for one female was four and on average, 327 eggs were collected after each spawn. The water-hardened eggs were semi-buoyant and non-adhesive, the first confirmation of this type of reproductive guild in the Missouri River Macrhybopsis sp. From spawn, larvae swam vertically until 123 accumulated degree days (° D) and 167° D for consumption of first food. Using average water speed and laboratory development time, the predicted drift distance for eggs and larvae could be 468–592 km in the lower Missouri River. Results from this study determined the reproductive biology and early life history of Macrhybopsis spp. and provided insight into their population dynamics in the Missouri River.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13329","usgsCitation":"Albers, J.L., and Wildhaber, M.L., 2017, Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki: Journal of Fish Biology, v. 91, no. 1, p. 58-79, https://doi.org/10.1111/jfb.13329.","productDescription":"22 p.","startPage":"58","endPage":"79","ipdsId":"IP-064083","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":438285,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70P0X9Q","text":"USGS data release","linkHelpText":"Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki-Data"},{"id":343074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-13","publicationStatus":"PW","scienceBaseUri":"59649235e4b0d1f9f05acd44","contributors":{"authors":[{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702248,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189000,"text":"70189000 - 2017 - Gulf Coast vulnerability assessment: Mangrove, tidal emergent marsh, barrier islands and oyster reef","interactions":[],"lastModifiedDate":"2017-06-29T09:12:39","indexId":"70189000","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Gulf Coast vulnerability assessment: Mangrove, tidal emergent marsh, barrier islands and oyster reef","docAbstract":"Climate, sea level rise, and urbanization are undergoing unprecedented levels of combined change and are expected to have large effects on natural resources—particularly along the Gulf of Mexico coastline (Gulf Coast). Management decisions to address these effects (i.e., adaptation) require an understanding of the relative vulnerability of various resources to these stressors. To meet this need, the four Landscape Conservation Cooperatives along the Gulf partnered with the Gulf of Mexico Alliance to conduct this Gulf Coast Vulnerability Assessment (GCVA). Vulnerability in this context incorporates exposure and sensitivity to threats (potential impact), coupled with the adaptive capacity to mitigate those threats. Potential impact and adaptive capacity reflect natural history features of target species and ecosystems. The GCVA used an expert opinion approach to qualitatively assess the vulnerability of four ecosystems: mangrove, oyster reef, tidal emergent marsh, and barrier islands, and a suite of wildlife species that depend on them. More than 50 individuals participated in the completion of the GCVA, facilitated via Ecosystem and Species Expert Teams.
Of the species assessed, Kemp’s ridley sea turtle was identified as the most vulnerable species across the Gulf Coast. Experts identified the main threats as loss of nesting habitat to sea level rise, erosion, and urbanization. Kemp’s ridley also had an overall low adaptive capacity score due to their low genetic diversity, and higher nest site fidelity as compared to other assessed species. Tidal emergent marsh was the most vulnerable ecosystem, due in part to sea level rise and erosion. In general, avian species were more vulnerable than fish because of nesting habitat loss to sea level rise, erosion, and potential increases in storm surge.
Assessors commonly indicated a lack of information regarding impacts due to projected changes in the disturbance regime, biotic interactions, and synergistic effects in both the species and habitat assessments. Many of the assessors who focused on species also identified data gaps regarding genetic information, phenotypic plasticity, life history, and species responses to past climate change and sea level rise. Regardless of information gaps, the results from the GCVA can be used to inform Gulf-wide adaptation plans. Given the scale of climatic impacts, coordinated efforts to address Gulf-wide threats to species and ecosystems will enhance the effectiveness of management actions and also have the potential to maximize the efficacy of limited funding.
","language":"English","publisher":"Mississippi State University","publisherLocation":"Mississippi State, MS","usgsCitation":"Watson, A., Reece, J., Tirpak, B., Edwards, C.K., Geselbracht, L., Woodrey, M., LaPeyre, M.K., and Dalyander, P., 2017, Gulf Coast vulnerability assessment: Mangrove, tidal emergent marsh, barrier islands and oyster reef, Report: ix, 98 p.","productDescription":"Report: ix, 98 p.","startPage":"10","endPage":"98","numberOfPages":"100","ipdsId":"IP-082146","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":343115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343092,"type":{"id":15,"text":"Index Page"},"url":"https://fwrc.msstate.edu/publications.asp"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas ","otherGeospatial":"Gulf Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":702354,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dalyander, Patricia (Soupy) 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":191931,"corporation":false,"usgs":true,"family":"Dalyander","given":"Patricia (Soupy)","email":"sdalyander@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":702353,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70188998,"text":"70188998 - 2017 - Rigorously valuing the role of coral reefs in coastal protection: An example from Maui, Hawaii, U.S.A.","interactions":[],"lastModifiedDate":"2017-06-28T16:54:01","indexId":"70188998","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Rigorously valuing the role of coral reefs in coastal protection: An example from Maui, Hawaii, U.S.A.","docAbstract":"The degradation of coastal habitats, particularly coral reefs, raises risks by exposing communities to flooding hazards.\nThe protective services of these natural defenses are not assessed in the same rigorous, economic terms as artificial\ndefenses such as seawalls, and therefore often not considered in decision-making. Here we present a new methodology\nthat combines economic, ecological, and engineering tools to provide a rigorous financial valuation of the coastal\nprotection benefits of coral reefs off Maui, Hawaii, USA. We follow risk-based valuation guidelines to quantitatively\nestimate the risk reduction benefits from coral reefs in terms of annual expected benefits in economic terms. Our\nultimate goal is to identify how, where, and when coral reefs provide the most flood reduction benefits under current\nand future climates to inform reef conservation and management priorities.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Dynamics 2017","conferenceDate":"June 12-16, 2017","conferenceLocation":"Helsingør, Denmark","language":"English","publisher":"Coastal Dynamics","usgsCitation":"Storlazzi, C.D., Reguero, B.G., Lowe, E., Shope, J.B., Gibbs, A.E., Beck, M., and Nickel, B.A., 2017, Rigorously valuing the role of coral reefs in coastal protection: An example from Maui, Hawaii, U.S.A., in Proceedings of Coastal Dynamics 2017, Helsingør, Denmark, June 12-16, 2017, p. 665-674.","productDescription":"10 p.","startPage":"665","endPage":"674","ipdsId":"IP-086222","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":343108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343107,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1b9e4b0d1f9f05b37a2","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":702329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reguero, Borja G. 0000-0001-5526-7157","orcid":"https://orcid.org/0000-0001-5526-7157","contributorId":193831,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","email":"","middleInitial":"G.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":702330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Erik","contributorId":140758,"corporation":false,"usgs":false,"family":"Lowe","given":"Erik","affiliations":[{"id":13554,"text":"USGS Pacific Coastal and Marine Science Center","active":true,"usgs":false}],"preferred":false,"id":702331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shope, James B.","contributorId":135949,"corporation":false,"usgs":false,"family":"Shope","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":10653,"text":"University of California at Santa Cruz, Earth and Planetary Science Department","active":true,"usgs":false}],"preferred":false,"id":702332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":702333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Mike","contributorId":193832,"corporation":false,"usgs":false,"family":"Beck","given":"Mike","email":"","affiliations":[],"preferred":false,"id":702334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nickel, Barry A.","contributorId":193833,"corporation":false,"usgs":false,"family":"Nickel","given":"Barry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702335,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188361,"text":"70188361 - 2017 - Parcels versus pixels: modeling agricultural land use across broad geographic regions using parcel-based field boundaries","interactions":[],"lastModifiedDate":"2017-07-03T10:03:08","indexId":"70188361","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"Parcels versus pixels: modeling agricultural land use across broad geographic regions using parcel-based field boundaries","docAbstract":"Land use and land cover (LULC) change occurs at a local level within contiguous ownership and management units (parcels), yet LULC models primarily use pixel-based spatial frameworks. The few parcel-based models being used overwhelmingly focus on small geographic areas, limiting the ability to assess LULC change impacts at regional to national scales. We developed a modified version of the Forecasting Scenarios of land use change model to project parcel-based agricultural change across a large region in the United States Great Plains. A scenario representing an agricultural biofuel scenario was modeled from 2012 to 2030, using real parcel boundaries based on contiguous ownership and land management units. The resulting LULC projection provides a vastly improved representation of landscape pattern over existing pixel-based models, while simultaneously providing an unprecedented combination of thematic detail and broad geographic extent. The conceptual approach is practical and scalable, with potential use for national-scale projections.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1747423X.2017.1340525","usgsCitation":"Sohl, T.L., Dornbierer, J., Wika, S., Sayler, K., and Quenzer, R., 2017, Parcels versus pixels: modeling agricultural land use across broad geographic regions using parcel-based field boundaries: Journal of Land Use Science, v. 12, no. 4, p. 197-217, https://doi.org/10.1080/1747423X.2017.1340525.","productDescription":"21 p.","startPage":"197","endPage":"217","ipdsId":"IP-074474","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":343087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"595b5797e4b0d1f9f0536dad","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dornbierer, Jordan 0000-0003-2099-5095 jdornbierer@usgs.gov","orcid":"https://orcid.org/0000-0003-2099-5095","contributorId":167854,"corporation":false,"usgs":true,"family":"Dornbierer","given":"Jordan","email":"jdornbierer@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wika, Steve 0000-0001-9992-8973 swika@usgs.gov","orcid":"https://orcid.org/0000-0001-9992-8973","contributorId":5656,"corporation":false,"usgs":true,"family":"Wika","given":"Steve","email":"swika@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quenzer, Robert 0000-0002-1886-374X rquenzer@usgs.gov","orcid":"https://orcid.org/0000-0002-1886-374X","contributorId":4041,"corporation":false,"usgs":true,"family":"Quenzer","given":"Robert","email":"rquenzer@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188999,"text":"70188999 - 2017 - Wave dynamics and flooding on low-lying tropical reef-lined coasts","interactions":[],"lastModifiedDate":"2017-06-28T16:58:22","indexId":"70188999","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Wave dynamics and flooding on low-lying tropical reef-lined coasts","docAbstract":"Many tropical islands and coasts are lined with coral reefs. These reefs are host to valuable ecosystems that support\nabundant marine species and provide resources for fisheries and recreation. As a flood defense, reefs protect coastlines\nfrom coastal storm damage and flooding by reducing the majority of incident wave energy. However, during storm and\nlarge swell conditions, coastal wave-driven flooding and overwash still occur due to high water levels, (infra) gravity\nwaves, and/or low-frequency wave resonance. The wave and flooding effects cause erosion, damage to infrastructure,\nagricultural crops, and salinization of precious drinking water supplies. These impacts, which are likely to increase due\nto climate change and ongoing development on the islands, may cause many low-lying tropical islands and coastal\nareas to become uninhabitable before the end of the century. This paper investigates aspects of wave dynamics for the\ncase of a small island in the tropical Pacific Ocean, shows projections of flooding under climate change scenarios, and\noutlines approaches to generalize the results to other islands, including mitigation options.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Dynamics 2017","conferenceDate":"June 12-16, 2017","conferenceLocation":"Helsingør, Denmark","language":"English","publisher":"Coastal Dynamics","usgsCitation":"van Dongeran, A., Storlazzi, C.D., Quataert, E., and Pearson, S., 2017, Wave dynamics and flooding on low-lying tropical reef-lined coasts, in Proceedings Coastal Dynamics 2017, Helsingør, Denmark, June 12-16, 2017, p. 654-664.","productDescription":"11 p.","startPage":"654","endPage":"664","ipdsId":"IP-085779","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":343109,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"},{"id":343110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1b9e4b0d1f9f05b37a0","contributors":{"authors":[{"text":"van Dongeran, Ap","contributorId":176244,"corporation":false,"usgs":false,"family":"van Dongeran","given":"Ap","email":"","affiliations":[],"preferred":false,"id":702344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":702343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quataert, Ellen","contributorId":193834,"corporation":false,"usgs":false,"family":"Quataert","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":702345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":702346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187880,"text":"70187880 - 2017 - A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA","interactions":[],"lastModifiedDate":"2018-03-15T10:26:15","indexId":"70187880","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","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":"A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA","docAbstract":"Intense demand for water in the Central Valley of California and related increases in groundwater nitrate concentration threaten the sustainability of the groundwater resource. To assess contamination risk in the region, we developed a hybrid, non-linear, machine learning model within a statistical learning framework to predict nitrate contamination of groundwater to depths of approximately 500 m below ground surface. A database of 145 predictor variables representing well characteristics, historical and current field and landscape-scale nitrogen mass balances, historical and current land use, oxidation/reduction conditions, groundwater flow, climate, soil characteristics, depth to groundwater, and groundwater age were assigned to over 6000 private supply and public supply wells measured previously for nitrate and located throughout the study area. The boosted regression tree (BRT) method was used to screen and rank variables to predict nitrate concentration at the depths of domestic and public well supplies. The novel approach included as predictor variables outputs from existing physically based models of the Central Valley. The top five most important predictor variables included two oxidation/reduction variables (probability of manganese concentration to exceed 50 ppb and probability of dissolved oxygen concentration to be below 0.5 ppm), field-scale adjusted unsaturated zone nitrogen input for the 1975 time period, average difference between precipitation and evapotranspiration during the years 1971–2000, and 1992 total landscape nitrogen input. Twenty-five variables were selected for the final model for log-transformed nitrate. In general, increasing probability of anoxic conditions and increasing precipitation relative to potential evapotranspiration had a corresponding decrease in nitrate concentration predictions. Conversely, increasing 1975 unsaturated zone nitrogen leaching flux and 1992 total landscape nitrogen input had an increasing relative impact on nitrate predictions. Three-dimensional visualization indicates that nitrate predictions depend on the probability of anoxic conditions and other factors, and that nitrate predictions generally decreased with increasing groundwater age.
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The model uses streamflow and sediment load data from nearby stream gauges to obtain an initial estimate of sediment yield for the reservoir’s watershed; it is then calibrated to the total deposition calculated from repeat bathymetric surveys. Long-term changes to reservoir trapping efficiency are also taken into account. The model was applied to the Fena Valley Reservoir, a water supply reservoir on the island of Guam. This reservoir became operational in 1951 and was recently surveyed in 2014. The model results show that the highest rate of deposition occurred during two typhoons (Typhoon Alice in 1953 and Typhoon Tingting in 2004); each storm decreased reservoir capacity by approximately 2–3% in only a few days. The presented model can be used to evaluate the impact of an extreme event, or it can be coupled with a watershed runoff model to evaluate potential impacts to storage capacity as a result of climate change or other hydrologic modifications.
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