{"pageNumber":"673","pageRowStart":"16800","pageSize":"25","recordCount":40797,"records":[{"id":70176302,"text":"70176302 - 2013 - Sorption of pure N2O to biochars and other organic and inorganic materials under anhydrous conditions","interactions":[],"lastModifiedDate":"2016-09-07T15:11:34","indexId":"70176302","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Sorption of pure N2O to biochars and other organic and inorganic materials under anhydrous conditions","docAbstract":"Suppression of nitrous oxide (N2O) emissions from soil is commonly observed after amendment with biochar. The mechanisms accounting for this suppression are not yet understood. One possible contributing mechanism is N2O sorption to biochar. The sorption of N2O and carbon dioxide (CO2) to four biochars was measured in an anhydrous system with pure N2O. The biochar data were compared to those for two activated carbons and other components potentially present in soils—uncharred pine wood and peat—and five inorganic metal oxides with variable surface areas. Langmuir maximum sorption capacities (Qmax) for N2O on the pine wood biochars (generated between 250 and 500 °C) and activated carbons were 17–73 cm3 g–1 at 20 °C (median 51 cm3 g–1), with Langmuir affinities (b) of 2–5 atm–1 (median 3.4 atm–1). Both Qmaxand b of the charred materials were substantially higher than those for peat, uncharred wood, and metal oxides [Qmax 1–34 cm3 g–1 (median 7 cm3 g–1); b 0.4–1.7 atm–1 (median 0.7 atm–1)]. This indicates that biochar can bind N2O more strongly than both mineral and organic soil materials. Qmax and b for CO2 were comparable to those for N2O. Modeled sorption coefficients obtained with an independent polyparameter—linear free-energy relationship matched measured data within a factor 2 for mineral surfaces but underestimated by a factor of 5–24 for biochar and carbonaceous surfaces. Isosteric enthalpies of sorption of N2O were mostly between −20 and −30 kJ mol–1, slightly more exothermic than enthalpies of condensation (−16.1 kJ mol–1). Qmax of N2O on biochar (50000–130000 μg g–1 biochar at 20 °C) exceeded the N2O emission suppressions observed in the literature (range 0.5–960 μg g–1 biochar; median 16 μg g–1) by several orders of magnitude. Thus, the hypothesis could not be falsified that sorption of N2O to biochar is a mechanism of N2O emission suppression.
","language":"English","publisher":"ACS Publications","doi":"10.1021/es400676q","usgsCitation":"Cornelissen, G., Rutherford, D.W., Arp, H.P., Dorsch, P., Kelly, C.N., and Rostad, C.E., 2013, Sorption of pure N2O to biochars and other organic and inorganic materials under anhydrous conditions: Environmental Science & Technology, v. 47, no. 14, p. 7704-7712, https://doi.org/10.1021/es400676q.","productDescription":"9 p.","startPage":"7704","endPage":"7712","ipdsId":"IP-044029","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-28","publicationStatus":"PW","scienceBaseUri":"57d13a3fe4b0571647cf8dfc","contributors":{"authors":[{"text":"Cornelissen, Gerard","contributorId":174426,"corporation":false,"usgs":false,"family":"Cornelissen","given":"Gerard","email":"","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":648262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rutherford, David W. dwruther@usgs.gov","contributorId":1325,"corporation":false,"usgs":true,"family":"Rutherford","given":"David","email":"dwruther@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":648261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, Hans Peter H.","contributorId":174430,"corporation":false,"usgs":false,"family":"Arp","given":"Hans","email":"","middleInitial":"Peter H.","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":648263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorsch, Peter","contributorId":174431,"corporation":false,"usgs":false,"family":"Dorsch","given":"Peter","email":"","affiliations":[{"id":27456,"text":"Norwegian Univorsity of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":648264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Charlene N. cnkelly@usgs.gov","contributorId":4563,"corporation":false,"usgs":true,"family":"Kelly","given":"Charlene","email":"cnkelly@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":true,"id":648260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rostad, Colleen E. cerostad@usgs.gov","contributorId":833,"corporation":false,"usgs":true,"family":"Rostad","given":"Colleen","email":"cerostad@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":648259,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175256,"text":"70175256 - 2013 - Tree-ring records of variation in flow and channel geometry","interactions":[],"lastModifiedDate":"2017-05-03T13:41:29","indexId":"70175256","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tree-ring records of variation in flow and channel geometry","docAbstract":"We review the use of tree rings to date flood disturbance, channel change, and sediment deposition, with an emphasis on rivers in semi-arid landscapes in the western United States. As watershed area decreases and aridity increases, large floods have a more pronounced and sustained effect on channel width and location, resulting in forest area-age distributions that are farther from a steady-state exponential relation. Furthermore, forests along three major snowmelt rivers in the northern Rocky Mountains, USA, have smaller than expected areas of young trees, suggesting that high flows and channel migration have decreased since the late 1800s.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference module in earth systems and environmental sciences; Treatise on geomorphology, Volume 12","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-374739-6.00319-5","usgsCitation":"Merigliano, M., Friedman, J., and Scott, M.L., 2013, Tree-ring records of variation in flow and channel geometry, chap. of Reference module in earth systems and environmental sciences; Treatise on geomorphology, Volume 12, v. 12, p. 145-164, https://doi.org/10.1016/B978-0-12-374739-6.00319-5.","productDescription":"20 p.","startPage":"145","endPage":"164","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024510","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315d4e4b006cb45558bb9","contributors":{"authors":[{"text":"Merigliano, M.F.","contributorId":30190,"corporation":false,"usgs":true,"family":"Merigliano","given":"M.F.","affiliations":[],"preferred":false,"id":644573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, J.M.","contributorId":88671,"corporation":false,"usgs":true,"family":"Friedman","given":"J.M.","affiliations":[],"preferred":false,"id":644574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, M. L.","contributorId":78261,"corporation":false,"usgs":true,"family":"Scott","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":644575,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174969,"text":"70174969 - 2013 - The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift","interactions":[],"lastModifiedDate":"2017-02-13T14:55:05","indexId":"70174969","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift","docAbstract":"Global palaeoclimate reconstructions have been invaluable to our understanding of the causes and effects of climate change, but single-temperature representations of the oceanic mixed layer for data–model comparisons are outdated, and the time for a paradigm shift in marine palaeoclimate reconstruction is overdue. The new paradigm in marine palaeoclimate reconstruction stems the loss of valuable climate information and instead presents a holistic and nuanced interpretation of multi-dimensional oceanographic processes and responses. A wealth of environmental information is hidden within the US Geological Survey's Pliocene Research,Interpretation and Synoptic Mapping (PRISM) marine palaeoclimate reconstruction, and we introduce here a plan to incorporate all valuable climate data into the next generation of PRISM products. Beyond the global approach and focus, we plan to incorporate regional climate dynamics with emphasis on processes, integrating multiple environmental proxies wherever available in order to better characterize the mixed layer, and developing a finer time slice within the Mid-Piacenzian Age of the Pliocene, complemented by underused proxies that offer snapshots into environmental conditions. The result will be a proxy-rich, temporally nested, process-oriented approach in a digital format - a relational database with geographic information system capabilities comprising a three-dimensional grid representing the surface layer, with a plethora of data in each cell.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsta.2012.0524","usgsCitation":"Dowsett, H.J., Robinson, M.M., Stoll, D.K., Foley, K.M., Johnson, A.L., Williams, M., and Riesselman, C., 2013, The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 371, no. 2001, https://doi.org/10.1098/rsta.2012.0524.","productDescription":"Article 20120524; 24 p.","startPage":"1-24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042157","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":474039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsta.2012.0524","text":"Publisher Index Page"},{"id":325601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"2001","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-28","publicationStatus":"PW","scienceBaseUri":"57973832e4b021cadec8ff58","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":643454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoll, Danielle K.","contributorId":88236,"corporation":false,"usgs":true,"family":"Stoll","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":643453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":643455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Andrew L. A.","contributorId":173158,"corporation":false,"usgs":false,"family":"Johnson","given":"Andrew","email":"","middleInitial":"L. A.","affiliations":[{"id":27166,"text":"Univ. of Derby","active":true,"usgs":false}],"preferred":false,"id":643457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Mark","contributorId":15098,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":643458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riesselman, Christina 0000-0002-2436-4306 criesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-2436-4306","contributorId":4290,"corporation":false,"usgs":true,"family":"Riesselman","given":"Christina","email":"criesselman@usgs.gov","affiliations":[],"preferred":true,"id":643452,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70176401,"text":"70176401 - 2013 - Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee","interactions":[],"lastModifiedDate":"2016-09-13T09:29:59","indexId":"70176401","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","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":"Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee","docAbstract":"Tropical Storms Irene and Lee in 2011 produced intense precipitation and flooding in the U.S. Northeast, \nincluding the Hudson River watershed. Sediment input to the Hudson River was approximately 2.7 megaton, about \n5 times the long-term annual average. Rather than the common assumption that sediment is predominantly trapped \nin the estuary, observations and model results indicate that approximately two thirds of the new sediment \nremained trapped in the tidal freshwater river more than 1 month after the storms and only about one fifth of \nthe new sediment reached the saline estuary. High sediment concentrations were observed in the estuary, but \nthe model results suggest that this was predominantly due to remobilization of bed sediment. Spatially localized \ndeposits of new and remobilized sediment were consistent with longer term depositional records. The results \nindicate that tidal rivers can intercept (at least temporarily) delivery of terrigenous sediment to the marine \nenvironment during major flow events.","language":"English","publisher":"AGU Publications","doi":"10.1002/2013GL057906","usgsCitation":"Ralston, D., Warner, J., Geyer, W., and Wall, G.R., 2013, Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee: Geophysical Research Letters, v. 40, no. 20, p. 5451-5455, https://doi.org/10.1002/2013GL057906.","productDescription":"5 p.","startPage":"5451","endPage":"5455","ipdsId":"IP-051406","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013gl057906","text":"Publisher Index Page"},{"id":328586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"20","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"57d92342e4b090824ffa1b30","contributors":{"authors":[{"text":"Ralston, David K.","contributorId":75796,"corporation":false,"usgs":true,"family":"Ralston","given":"David K.","affiliations":[],"preferred":false,"id":648606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geyer, W. Rockwell","contributorId":51588,"corporation":false,"usgs":true,"family":"Geyer","given":"W. Rockwell","affiliations":[],"preferred":false,"id":648607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wall, Gary R. grwall@usgs.gov","contributorId":915,"corporation":false,"usgs":true,"family":"Wall","given":"Gary","email":"grwall@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648608,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174162,"text":"70174162 - 2013 - Food availability and foraging near human developments by black bears","interactions":[],"lastModifiedDate":"2016-07-18T17:06:13","indexId":"70174162","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Food availability and foraging near human developments by black bears","docAbstract":"Understanding the relationship between foraging ecology and the presence of human-dominated landscapes is important, particularly for American black bears (Ursus americanus), which sometimes move between wildlands and urban areas to forage. The food-related factors influencing this movement have not been explored, but can be important for understanding the benefits and costs to black bear foraging behavior and the fundamental origins of bear conflicts. We tested whether the scarcity of wildland foods or the availability of urban foods can explain when black bears forage near houses, examined the extent to which male bears use urban areas in comparison to females, and identified the most important food items influencing bear movement into urban areas. We monitored 16 collared black bears in and around Missoula, Montana, during 2009 and 2010, while quantifying the rate of change in green vegetation and the availability of 5 native berry-producing species outside the urban area, the rate of change in green vegetation, and the availability of apples and garbage inside the urban area. We used parametric time-to-event models in which an event was a bear location collected within 100 m of a house. We also visited feeding sites located near houses and quantified food items bears had eaten. The probability of a bear being located near a house was 1.6 times higher for males, and increased during apple season and the urban green-up. Fruit trees accounted for most of the forage items at urban feeding sites (49%), whereas wildland foods composed <10%. Black bears foraged on human foods near houses even when wildland foods were available, suggesting that the absence of wildland foods may not influence the probability of bears foraging near houses. Additionally, other attractants, in this case fruit trees, appear to be more important than the availability of garbage in influencing when bears forage near houses.
","language":"English","publisher":"American Society of Mammalogists","publisherLocation":"Lawrence, KS","doi":"10.1644/12-MAMM-A-002.1","usgsCitation":"Merkle, J., Robinson, H.S., Krausman, P.R., and Alaback, P.B., 2013, Food availability and foraging near human developments by black bears: Journal of Mammalogy, v. 94, no. 2, p. 378-385, https://doi.org/10.1644/12-MAMM-A-002.1.","productDescription":"8 p.","startPage":"378","endPage":"385","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012056","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/12-mamm-a-002.1","text":"Publisher Index Page"},{"id":325412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Missoula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.576416015625,\n 46.44164232762498\n ],\n [\n -114.576416015625,\n 47.08508535995384\n ],\n [\n -113.2965087890625,\n 47.08508535995384\n ],\n [\n -113.2965087890625,\n 46.44164232762498\n ],\n [\n -114.576416015625,\n 46.44164232762498\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"94","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-16","publicationStatus":"PW","scienceBaseUri":"578dfdb2e4b0f1bea0e0f85a","contributors":{"authors":[{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":642826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Hugh S.","contributorId":139243,"corporation":false,"usgs":false,"family":"Robinson","given":"Hugh","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":642828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alaback, Paul B.","contributorId":172217,"corporation":false,"usgs":false,"family":"Alaback","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":642829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176301,"text":"70176301 - 2013 - Biochar effect on maize yield and soil characteristics in five conservation farming sites in Zambia","interactions":[],"lastModifiedDate":"2016-09-07T15:07:26","indexId":"70176301","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":684,"text":"Agronomy Journal","active":true,"publicationSubtype":{"id":10}},"title":"Biochar effect on maize yield and soil characteristics in five conservation farming sites in Zambia","docAbstract":"Biochar addition to agricultural soils can improve soil fertility, with the added bonus of climate change mitigation through carbon sequestration. Conservation farming (CF) is precision farming, often combining minimum tillage, crop rotation and residue retention. In the present farmer-led field trials carried out in Zambia, the use of a low dosage biochar combined with CF minimum tillage was tested as a way to increase crop yields. Using CF minimum tillage allows the biochar to be applied to the area where most of the plant roots are present and mirrors the fertilizer application in CF practices. The CF practice used comprised manually hoe-dug planting 10-L sized basins, where 10%–12% of the land was tilled. Pilot trials were performed with maize cob biochar and wood biochar on five soils with variable physical/chemical characteristics. At a dosage as low as 4 tons/ha, both biochars had a strong positive effect on maize yields in the coarse white aeolian sand of Kaoma, West-Zambia, with yields of 444% ± 114% (p = 0.06) and 352% ± 139% (p = 0.1) of the fertilized reference plots for maize and wood biochar, respectively. Thus for sandy acidic soils, CF and biochar amendment can be a promising combination for increasing harvest yield. Moderate but non-significant effects on yields were observed for maize and wood biochar in a red sandy clay loam ultisol east of Lusaka, central Zambia (University of Zambia, UNZA, site) with growth of 142% ± 42% (p > 0.2) and 131% ± 62% (p > 0.2) of fertilized reference plots, respectively. For three other soils (acidic and neutral clay loams and silty clay with variable cation exchange capacity, CEC), no significant effects on maize yields were observed (p > 0.2). In laboratory trials, 5% of the two biochars were added to the soil samples in order to study the effect of the biochar on physical and chemical soil characteristics. The large increase in crop yield in Kaoma soil was tentatively explained by a combination of an increased base saturation (from <50% to 60%–100%) and cation exchange capacity (CEC; from 2–3 to 5–9 cmol/kg) and increased plant-available water (from 17% to 21%) as well as water vapor uptake (70 mg/g on maize cob biochar at 50% relative humidity).
","language":"English","publisher":"MDPI","doi":"10.3390/agronomy3020256","usgsCitation":"Cornelissen, G., Martinsen, V., Shitumbanuma, V., Alling, V., Breedveld, G.D., Rutherford, D.W., Sparrevik, M., Hale, S.E., Obia, A., and Mulder, J., 2013, Biochar effect on maize yield and soil characteristics in five conservation farming sites in Zambia: Agronomy Journal, v. 3, no. 2, p. 256-274, https://doi.org/10.3390/agronomy3020256.","productDescription":"19 p.","startPage":"256","endPage":"274","ipdsId":"IP-042187","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/agronomy3020256","text":"Publisher Index Page"},{"id":328332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Zambia","volume":"3","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"57d13a2fe4b0571647cf8d24","contributors":{"authors":[{"text":"Cornelissen, Gerard","contributorId":174426,"corporation":false,"usgs":false,"family":"Cornelissen","given":"Gerard","email":"","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":648276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinsen, Vegard","contributorId":174427,"corporation":false,"usgs":false,"family":"Martinsen","given":"Vegard","email":"","affiliations":[{"id":27453,"text":"Norwegian Univ of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":648268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shitumbanuma, Victor","contributorId":174433,"corporation":false,"usgs":false,"family":"Shitumbanuma","given":"Victor","email":"","affiliations":[],"preferred":false,"id":648269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alling, Vanja","contributorId":174434,"corporation":false,"usgs":false,"family":"Alling","given":"Vanja","email":"","affiliations":[],"preferred":false,"id":648270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breedveld, Gijs D.","contributorId":174435,"corporation":false,"usgs":false,"family":"Breedveld","given":"Gijs","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":648271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rutherford, David W. dwruther@usgs.gov","contributorId":1325,"corporation":false,"usgs":true,"family":"Rutherford","given":"David","email":"dwruther@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":648255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sparrevik, Magnus","contributorId":174436,"corporation":false,"usgs":false,"family":"Sparrevik","given":"Magnus","email":"","affiliations":[],"preferred":false,"id":648272,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hale, Sarah E.","contributorId":174437,"corporation":false,"usgs":false,"family":"Hale","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":648273,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Obia, Alfred","contributorId":174438,"corporation":false,"usgs":false,"family":"Obia","given":"Alfred","email":"","affiliations":[],"preferred":false,"id":648274,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mulder, Jan","contributorId":174439,"corporation":false,"usgs":false,"family":"Mulder","given":"Jan","email":"","affiliations":[],"preferred":false,"id":648275,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70171349,"text":"70171349 - 2013 - Anadromous sea lampreys recolonize a Maine coastal river tributary after dam removal","interactions":[],"lastModifiedDate":"2016-05-30T13:08:08","indexId":"70171349","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Anadromous sea lampreys recolonize a Maine coastal river tributary after dam removal","docAbstract":"Sedgeunkedunk Stream, a third-order tributary to the Penobscot River, Maine, historically supported several anadromous fishes, including the Atlantic Salmon Salmo salar, AlewifeAlosa pseudoharengus, and Sea Lamprey Petromyzon marinus. However, two small dams constructed in the 1800s reduced or eliminated spawning runs entirely. In 2009, efforts to restore marine–freshwater connectivity in the system culminated with removal of the lowermost dam, thus providing access to an additional 4.6 km of lotic habitat. Because Sea Lampreys utilized accessible habitat prior to dam removal, they were chosen as a focal species with which to quantify recolonization. During spawning runs of 2008–2011 (before and after dam removal), individuals were marked with PIT tags and their activity was tracked with daily recapture surveys. Open-population mark–recapture models indicated a fourfold increase in the annual abundance of spawning-phase Sea Lampreys, with estimates rising from 59±4 (![\"\"](\"http://www.tandfonline.com/na101/home/literatum/publisher/tandf/journals/content/utaf20/2013/utaf20.v142.i05/00028487.2013.811103/20130920/images/medium/utaf_a_811103_o_ilm0001.gif\")
) before dam removal (2008) to 223±18 and 242±16 after dam removal (2010 and 2011, respectively). Accompanying the marked increase in annual abundance was a greater than fourfold increase in nesting sites: the number of nests increased from 31 in 2008 to 128 and 131 in 2010 and 2011, respectively. During the initial recolonization event (i.e., in 2010), Sea Lampreys took 6 d to move past the former dam site and 9 d to expand into the furthest upstream reaches. Conversely, during the 2011 spawning run, Sea Lampreys took only 3 d to penetrate into the upstream reaches, thus suggesting a potential positive feedback in which larval recruitment into the system may have attracted adult spawners via conspecific pheromone cues. Although more research is needed to verify the migratory pheromone hypothesis, our study clearly demonstrates that small-stream dam removal in coastal river systems has the potential to enhance recovery of declining anadromous fish populations.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2013.811103","usgsCitation":"Hogg, R., Coghlan, S.M., and Zydlewski, J.D., 2013, Anadromous sea lampreys recolonize a Maine coastal river tributary after dam removal: Transactions of the American Fisheries Society, v. 142, no. 5, p. 1381-1394, https://doi.org/10.1080/00028487.2013.811103.","productDescription":"14 p.","startPage":"1381","endPage":"1394","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044327","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","volume":"142","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-02","publicationStatus":"PW","scienceBaseUri":"574d643de4b07e28b66834c5","contributors":{"authors":[{"text":"Hogg, Robert","contributorId":169714,"corporation":false,"usgs":false,"family":"Hogg","given":"Robert","affiliations":[],"preferred":false,"id":630807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630685,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174111,"text":"70174111 - 2013 - Evaluation of habitat quality for selected wildlife species associated with back channels.","interactions":[],"lastModifiedDate":"2016-09-08T11:04:04","indexId":"70174111","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2949,"text":"Open Journal Of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of habitat quality for selected wildlife species associated with back channels.","docAbstract":"The islands and associated back channels on the Ohio River, USA, are believed to provide critical habitat features for several wildlife species. However, few studies have quantitatively evaluated habitat quality in these areas. Our main objective was to evaluate the habitat quality of back and main channel areas for several species using habitat suitability index (HSI) models. To test the effectiveness of these models, we attempted to relate HSI scores and the variables measured for each model with measures of relative abundance for the model species. The mean belted kingfisher (Ceryle alcyon) HSI was greater on the main than back channel. However, the model failed to predict kingfisher abundance. The mean reproduction component of the great blue heron (Ardea herodias) HSI, total common muskrat (Ondatra zibethicus) HSI, winter cover component of the snapping turtle (Chelydra serpentina) HSI, and brood-rearing component of the wood duck (Aix sponsa) HSI were all greater on the back than main channel, and were positively related with the relative abundance of each species. We found that island back channels provide characteristics not found elsewhere on the Ohio River and warrant conservation as important riparian wildlife habitat. The effectiveness of using HSI models to predict species abundance on the river was mixed. Modifications to several of the models are needed to improve their use on the Ohio River and, likely, other large rivers.
","language":"English","publisher":"SciRes","doi":"10.4236/oje.2013.34035","usgsCitation":"Anderson, J.T., Zadnik, A.K., Wood, P.B., and Bledsoe, K., 2013, Evaluation of habitat quality for selected wildlife species associated with back channels.: Open Journal Of Ecology, v. 3, no. 4, p. 301-310, https://doi.org/10.4236/oje.2013.34035.","productDescription":"10 p.","startPage":"301","endPage":"310","ipdsId":"IP-043835","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/oje.2013.34035","text":"Publisher Index Page"},{"id":328361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bace4b0571647d0f92e","contributors":{"authors":[{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":648363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zadnik, Andrew K.","contributorId":174476,"corporation":false,"usgs":false,"family":"Zadnik","given":"Andrew","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":648364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":640954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bledsoe, Kerry","contributorId":174477,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Kerry","email":"","affiliations":[],"preferred":false,"id":648365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178489,"text":"70178489 - 2013 - Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande","interactions":[],"lastModifiedDate":"2017-01-20T10:47:07","indexId":"70178489","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande","docAbstract":"For more than 30 years the agreements developed for the aquifer systems of the lower Rio Grande and related river compacts of the Rio Grande River have evolved into a complex setting of transboundary conjunctive use. The conjunctive use now includes many facets of water rights, water use, and emerging demands between the states of New Mexico and Texas, the United States and Mexico, and various water-supply agencies. The analysis of the complex relations between irrigation and streamflow supplyand-demand components and the effects of surface-water and groundwater use requires an integrated hydrologic model to track all of the use and movement of water. MODFLOW with the Farm Process (MFFMP) provides the integrated approach needed to assess the stream-aquifer interactions that are dynamically affected by irrigation demands on streamflow allotments that are supplemented with groundwater pumpage. As a first step to the ongoing full implementation of MF-FMP by the USGS, the existing model (LRG_2007) was modified to include some FMP features, demonstrating the ability to simulate the existing streamflow-diversion relations known as the D2 and D3 curves, departure of downstream deliveries from these curves during low allocation years and with increasing efficiency upstream, and the dynamic relation between surface-water conveyance and estimates of pumpage and recharge. This new MF-FMP modeling framework can now internally analyze complex relations within the Lower Rio Grande Hydrologic Model (LRGHM_2011) that previous techniques had limited ability to assess.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"MODFLOW and more 2013--Translating science into practice","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Colorado School of Mines, Integrated Groundwater Modeling Center","publisherLocation":"Golden, CO","usgsCitation":"Hanson, R.T., Schmid, W., Knight, J.E., and Maddock, T., 2013, Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande, in MODFLOW and more 2013--Translating science into practice, p. 57-61.","productDescription":"5 p.","startPage":"57","endPage":"61","ipdsId":"IP-042752","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58833023e4b0d0023163779a","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":654192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Jacob E. 0000-0003-0271-9011 jknight@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":5143,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob","email":"jknight@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maddock, Thomas III","contributorId":32983,"corporation":false,"usgs":true,"family":"Maddock","given":"Thomas","suffix":"III","affiliations":[],"preferred":false,"id":654191,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70180163,"text":"70180163 - 2013 - On the identification of a Pliocene time slice for data–model comparison","interactions":[],"lastModifiedDate":"2017-01-25T10:27:28","indexId":"70180163","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"On the identification of a Pliocene time slice for data–model comparison","docAbstract":"The characteristics of the mid-Pliocene warm period (mPWP: 3.264–3.025 Ma BP) have been examined using geological proxies and climate models. While there is agreement between models and data, details of regional climate differ. Uncertainties in prescribed forcings and in proxy data limit the utility of the interval to understand the dynamics of a warmer than present climate or evaluate models. This uncertainty comes, in part, from the reconstruction of a time slab rather than a time slice, where forcings required by climate models can be more adequately constrained. Here, we describe the rationale and approach for identifying a time slice(s) for Pliocene environmental reconstruction. A time slice centred on 3.205 Ma BP (3.204–3.207 Ma BP) has been identified as a priority for investigation. It is a warm interval characterized by a negative benthic oxygen isotope excursion (0.21–0.23‰) centred on marine isotope stage KM5c (KM5.3). It occurred during a period of orbital forcing that was very similar to present day. Climate model simulations indicate that proxy temperature estimates are unlikely to be significantly affected by orbital forcing for at least a precession cycle centred on the time slice, with the North Atlantic potentially being an important exception.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsta.2012.0515","usgsCitation":"Haywood, A.M., Dolan, A.M., Pickering, S.J., Dowsett, H.J., McClymont, E.L., Prescott, C.L., Salzmann, U., Hill, D.J., Hunter, S.J., Lunt, D.J., Pope, J.O., and Valdes, P.J., 2013, On the identification of a Pliocene time slice for data–model comparison: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 371, no. 2001, p. 1-21, https://doi.org/10.1098/rsta.2012.0515.","productDescription":"21 p.","startPage":"1","endPage":"21","ipdsId":"IP-039635","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsta.2012.0515","text":"Publisher Index Page"},{"id":333885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"2001","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-28","publicationStatus":"PW","scienceBaseUri":"5889c79be4b0ba3b075e05df","contributors":{"authors":[{"text":"Haywood, Alan M.","contributorId":86663,"corporation":false,"usgs":true,"family":"Haywood","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dolan, Aisling M.","contributorId":30117,"corporation":false,"usgs":true,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pickering, Steven J.","contributorId":147378,"corporation":false,"usgs":false,"family":"Pickering","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":660571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":660572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClymont, Erin L.","contributorId":178700,"corporation":false,"usgs":false,"family":"McClymont","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prescott, Caroline L.","contributorId":178703,"corporation":false,"usgs":false,"family":"Prescott","given":"Caroline","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salzmann, Ulrich","contributorId":173101,"corporation":false,"usgs":false,"family":"Salzmann","given":"Ulrich","email":"","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":660575,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hill, Daniel J.","contributorId":80993,"corporation":false,"usgs":true,"family":"Hill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660576,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hunter, Stephen J.","contributorId":55711,"corporation":false,"usgs":true,"family":"Hunter","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660577,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lunt, Daniel J.","contributorId":101168,"corporation":false,"usgs":true,"family":"Lunt","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660586,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pope, James O.","contributorId":173148,"corporation":false,"usgs":false,"family":"Pope","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":660587,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Valdes, Paul J.","contributorId":6354,"corporation":false,"usgs":true,"family":"Valdes","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660588,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70170795,"text":"70170795 - 2013 - Nyamulagira’s magma plumbing system inferred from 15 years of InSAR","interactions":[],"lastModifiedDate":"2018-10-30T11:31:00","indexId":"70170795","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Nyamulagira’s magma plumbing system inferred from 15 years of InSAR","docAbstract":"Nyamulagira, located in the east of the Democratic Republic of Congo on the western branch of the East African rift, is Africa’s most active volcano, with an average of one eruption every 3 years since 1938. Owing to the socio-economical context of that region, the volcano lacks ground-based geodetic measurements but has been monitored by interferometric synthetic aperture radar (InSAR) since 1996. A combination of 3D Mixed Boundary Element Method and inverse modelling, taking into account topography and source interactions, is used to interpret InSAR ground displacements associated with eruptive activity in 1996, 2002, 2004, 2006 and 2010. These eruptions can be fitted by models incorporating dyke intrusions, and some (namely the 2006 and 2010 eruptions) require a magma reservoir beneath the summit caldera. We investigate inter-eruptive deformation with a multi-temporal InSAR approach. We propose the following magma plumbing system at Nyamulagira by integrating numerical deformation models with other available data: a deep reservoir (c. 25 km depth) feeds a shallower reservoir (c. 4 km depth); proximal eruptions are fed from the shallow reservoir through dykes while distal eruptions can be fed directly from the deep reservoir. A dyke-like conduit is also present beneath the upper southeastern flank of Nyamulagira.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote Sensing of Volcanoes and Volcanic Processes: Integrating Observation and Modelling","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of London","publisherLocation":"London, UK","doi":"10.1144/SP380.9","usgsCitation":"Wauthier, C., Cayol, V., Poland, M.P., Kervyn, F., D’Oreye, N., Hooper, A., Samsonov, S., Tiampo, K., and Smets, B., 2013, Nyamulagira’s magma plumbing system inferred from 15 years of InSAR, chap. of Remote Sensing of Volcanoes and Volcanic Processes: Integrating Observation and Modelling, v. 380, p. 39-65, https://doi.org/10.1144/SP380.9.","productDescription":"27 p.","startPage":"39","endPage":"65","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075418","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474165,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://uca.hal.science/hal-03049852","text":"External Repository"},{"id":324113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"380","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-18","publicationStatus":"PW","scienceBaseUri":"576a6545e4b07657d1a11e3d","contributors":{"editors":[{"text":"Pyle, D. M.","contributorId":172256,"corporation":false,"usgs":false,"family":"Pyle","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640063,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Mather, T.A.","contributorId":40789,"corporation":false,"usgs":true,"family":"Mather","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":640064,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Biggs, J.","contributorId":59241,"corporation":false,"usgs":true,"family":"Biggs","given":"J.","affiliations":[],"preferred":false,"id":640065,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wauthier, Christelle","contributorId":81011,"corporation":false,"usgs":true,"family":"Wauthier","given":"Christelle","affiliations":[],"preferred":false,"id":628430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cayol, Valerie","contributorId":121509,"corporation":false,"usgs":false,"family":"Cayol","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":628431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":628429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kervyn, Francois","contributorId":169098,"corporation":false,"usgs":false,"family":"Kervyn","given":"Francois","email":"","affiliations":[{"id":25416,"text":"Earth Sciences Department, Royal Museum for Central Africa","active":true,"usgs":false}],"preferred":false,"id":628432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"D’Oreye, Nicolas","contributorId":169099,"corporation":false,"usgs":false,"family":"D’Oreye","given":"Nicolas","email":"","affiliations":[{"id":25417,"text":"Departments of Geophysics/Astrophysics, National Museum of Natural History, Walferdange, Luxembourg","active":true,"usgs":false}],"preferred":false,"id":628433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hooper, Andrew","contributorId":169100,"corporation":false,"usgs":false,"family":"Hooper","given":"Andrew","email":"","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":628434,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Samsonov, Sergei","contributorId":169101,"corporation":false,"usgs":false,"family":"Samsonov","given":"Sergei","email":"","affiliations":[{"id":25418,"text":"Department of Earth Sciences, Western University, Ontario","active":true,"usgs":false}],"preferred":false,"id":628435,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tiampo, Kristy","contributorId":169102,"corporation":false,"usgs":false,"family":"Tiampo","given":"Kristy","email":"","affiliations":[{"id":25419,"text":"Canada Centre for Remote Sensing","active":true,"usgs":false}],"preferred":false,"id":628436,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smets, Benoit","contributorId":169103,"corporation":false,"usgs":false,"family":"Smets","given":"Benoit","affiliations":[{"id":25416,"text":"Earth Sciences Department, Royal Museum for Central Africa","active":true,"usgs":false}],"preferred":false,"id":628437,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70198366,"text":"70198366 - 2013 - Current status, issues and applications of GIS to inland fisheries","interactions":[],"lastModifiedDate":"2018-09-01T23:09:56","indexId":"70198366","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"T552","chapter":"9","title":"Current status, issues and applications of GIS to inland fisheries","docAbstract":"This chapter is concerned with GIS applications made to inland fisheries. These include fisheries in freshwater rivers, lakes and reservoirs. Although these GIS applications have increased rapidly since the late 1980s, this area of fish production receives less attention than either aquaculture or marine fisheries. This is probably because inland fisheries are often practised in remote areas, at a semi-subsistence level, or are recreational in many developed countries, and data on most aspects of the fisheries are scattered, fragmented and frequently unsuited for use as inputs to GIS. The GIS-based inland fisheries work has concentrated on mapping the distribution and abundance of fish species and mapping and modelling habitats in rivers, reservoirs and lakes, and relating the two. Much of the material included in the chapter on inland fisheries comes from either Fisher and Rahel (2004) or from the series of symposium proceedings published by the Fishery-Aquatic GIS Research Group (Nishida and Caton, 2010).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Advances in geographic information systems and remote sensing for fisheries and aquaculture: Summary version (FAO Fisheries and Aquaculture Technical Paper 552)","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Food and Agriculture Organizaiton of the United Nations","publisherLocation":"Rome, Italy","issn":"2070-7010","isbn":"9789251073919","usgsCitation":"Fisher, W., 2013, Current status, issues and applications of GIS to inland fisheries, chap. 9 of Advances in geographic information systems and remote sensing for fisheries and aquaculture: Summary version (FAO Fisheries and Aquaculture Technical Paper 552), p. 59-64.","productDescription":"6 p.","startPage":"59","endPage":"64","ipdsId":"IP-033397","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":357017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fao.org/publications/card/en/c/50c7a0ee-1879-5306-94bb-e602f382fee8"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98af08e4b0702d0e843f59","contributors":{"editors":[{"text":"Meaden, Geoffery J.","contributorId":50763,"corporation":false,"usgs":false,"family":"Meaden","given":"Geoffery","email":"","middleInitial":"J.","affiliations":[{"id":25526,"text":"FAO","active":true,"usgs":false}],"preferred":false,"id":744022,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Aguilar-Manjarrez, Jose","contributorId":115575,"corporation":false,"usgs":false,"family":"Aguilar-Manjarrez","given":"Jose","email":"","affiliations":[{"id":25526,"text":"FAO","active":true,"usgs":false}],"preferred":false,"id":744023,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Fisher, William wfisher@usgs.gov","contributorId":206607,"corporation":false,"usgs":true,"family":"Fisher","given":"William","email":"wfisher@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":741272,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70004773,"text":"70004773 - 2013 - Limiting the immediate and subsequent hazards associated with wildfires","interactions":[],"lastModifiedDate":"2015-03-20T13:26:05","indexId":"70004773","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Limiting the immediate and subsequent hazards associated with wildfires","docAbstract":"Wildfire is a unique natural hazard because it poses immediate threats to life and property as well as creating conditions that can lead to subsequent debris flows. In recent years, the immediate destructive force of wildfires has been decreased through better understanding of fire behavior. Lightning detection networks now identify the number and locations of this common ignition source. Measurements of wind speed, temperature, slope, fuel types and fire boundaries are routinely incorporated into models for fire spread, permitting real-time adjustments to fire-fighting strategies, thus increasing fire-fighting effectiveness.
\nSimilarly, our capability to limit impacts from post-fire debris flows is improving. Empirical models for estimating the probability of debris-flow occurrence, the volume of such an event, and mapping the inundated area, linked with improved definitions of the rainfall conditions that trigger debris flows, can be used to provide critical information for post-fire hazard mitigation and emergency-response planning.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide Science and Practice: Volume 4: Global Environmental Change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany","doi":"10.1007/978-3-642-31337-0_26","usgsCitation":"DeGraff, J.V., Cannon, S.H., and Parise, M., 2013, Limiting the immediate and subsequent hazards associated with wildfires, chap. of Landslide Science and Practice: Volume 4: Global Environmental Change, v. 4, p. 199-209, https://doi.org/10.1007/978-3-642-31337-0_26.","productDescription":"11 p.","startPage":"199","endPage":"209","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030664","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2013-02-02","publicationStatus":"PW","scienceBaseUri":"51cbff55e4b052f2a453986f","contributors":{"authors":[{"text":"DeGraff, Jerome V.","contributorId":85709,"corporation":false,"usgs":true,"family":"DeGraff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":351313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":351312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parise, Mario","contributorId":94689,"corporation":false,"usgs":true,"family":"Parise","given":"Mario","email":"","affiliations":[],"preferred":false,"id":351314,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003695,"text":"70003695 - 2013 - Computationally efficient statistical differential equation modeling using homogenization","interactions":[],"lastModifiedDate":"2017-02-24T14:33:43","indexId":"70003695","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Computationally efficient statistical differential equation modeling using homogenization","docAbstract":"Statistical models using partial differential equations (PDEs) to describe dynamically evolving natural systems are appearing in the scientific literature with some regularity in recent years. Often such studies seek to characterize the dynamics of temporal or spatio-temporal phenomena such as invasive species, consumer-resource interactions, community evolution, and resource selection. Specifically, in the spatial setting, data are often available at varying spatial and temporal scales. Additionally, the necessary numerical integration of a PDE may be computationally infeasible over the spatial support of interest. We present an approach to impose computationally advantageous changes of support in statistical implementations of PDE models and demonstrate its utility through simulation using a form of PDE known as “ecological diffusion.” We also apply a statistical ecological diffusion model to a data set involving the spread of mountain pine beetle (Dendroctonus ponderosae) in Idaho, USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Agricultural, Biological, and Environmental Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13253-013-0147-9","usgsCitation":"Hooten, M., Garlick, M.J., and Powell, J., 2013, Computationally efficient statistical differential equation modeling using homogenization: Journal of Agricultural, Biological, and Environmental Statistics, v. 18, no. 3, p. 405-428, https://doi.org/10.1007/s13253-013-0147-9.","productDescription":"24 p.","startPage":"405","endPage":"428","ipdsId":"IP-029256","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273481,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13253-013-0147-9"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-29","publicationStatus":"PW","scienceBaseUri":"51b6f565e4b0097a7158e59b","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":348376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garlick, Martha J.","contributorId":19067,"corporation":false,"usgs":true,"family":"Garlick","given":"Martha","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, James A.","contributorId":53514,"corporation":false,"usgs":true,"family":"Powell","given":"James A.","affiliations":[],"preferred":false,"id":348378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189045,"text":"70189045 - 2013 - Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico","interactions":[],"lastModifiedDate":"2017-06-29T14:14:26","indexId":"70189045","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico","docAbstract":"Two- and three-dimensional electrical resistivity models derived from the magnetotelluric method were interpreted to provide more accurate hydrogeologic parameters for the Albuquerque and Española Basins. Analysis and interpretation of the resistivity models are aided by regional borehole resistivity data. Examination of the magnetotelluric response of hypothetical stratigraphic cases using resistivity characterizations from the borehole data elucidates two scenarios where the magnetotelluric method provides the strongest constraints. In the first scenario, the magnetotelluric method constrains the thickness of extensive volcanic cover, the underlying thickness of coarser-grained facies of buried Santa Fe Group sediments, and the depth to Precambrian basement or overlying Pennsylvanian limestones. In the second scenario, in the absence of volcanic cover, the magnetotelluric method constrains the thickness of coarser-grained facies of buried Santa Fe Group sediments and the depth to Precambrian basement or overlying Pennsylvanian limestones. Magnetotelluric surveys provide additional constraints on the relative positions of basement rocks and the thicknesses of Paleozoic, Mesozoic, and Tertiary sedimentary rocks in the region of the Albuquerque and Española Basins. The northern extent of a basement high beneath the Cerros del Rio volcanic field is delineated. Our results also reveal that the largest offset of the Hubbell Spring fault zone is located 5 km west of the exposed scarp. By correlating our resistivity models with surface geology and the deeper stratigraphic horizons using deep well log data, we are able to identify which of the resistivity variations in the upper 2 km belong to the upper Santa Fe Group sediment
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New perspectives on Rio Grande Rift Basins: From tectonics to groundwater","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2494(13)","usgsCitation":"Rodriguez, B.D., and Sawyer, D.A., 2013, Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico, chap. of New perspectives on Rio Grande Rift Basins: From tectonics to groundwater, v. 494, p. 323-344, https://doi.org/10.1130/2013.2494(13).","productDescription":"22 p.","startPage":"323","endPage":"344","ipdsId":"IP-025934","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107,\n 34.6\n ],\n [\n -106,\n 34.6\n ],\n [\n -106,\n 36\n ],\n [\n -107,\n 36\n ],\n [\n -107,\n 34.6\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"494","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c4e4b0d1f9f05067cd","contributors":{"editors":[{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":702731,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702732,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, David A. dsawyer@usgs.gov","contributorId":1262,"corporation":false,"usgs":true,"family":"Sawyer","given":"David","email":"dsawyer@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":702730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193293,"text":"70193293 - 2013 - A comparison of data-driven groundwater vulnerability assessment methods","interactions":[],"lastModifiedDate":"2017-11-11T16:26:15","indexId":"70193293","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of data-driven groundwater vulnerability assessment methods","docAbstract":"Increasing availability of geo-environmental data has promoted the use of statistical methods to assess groundwater vulnerability. Nitrate is a widespread anthropogenic contaminant in groundwater and its occurrence can be used to identify aquifer settings vulnerable to contamination. In this study, multivariate Weights of Evidence (WofE) and Logistic Regression (LR) methods, where the response variable is binary, were used to evaluate the role and importance of a number of explanatory variables associated with nitrate sources and occurrence in groundwater in the Milan District (central part of the Po Plain, Italy). The results of these models have been used to map the spatial variation of groundwater vulnerability to nitrate in the region, and we compare the similarities and differences of their spatial patterns and associated explanatory variables. We modify the standard WofE method used in previous groundwater vulnerability studies to a form analogous to that used in LR; this provides a framework to compare the results of both models and reduces the effect of sampling bias on the results of the standard WofE model. In addition, a nonlinear Generalized Additive Model has been used to extend the LR analysis. Both approaches improved discrimination of the standard WofE and LR models, as measured by the c-statistic. Groundwater vulnerability probability outputs, based on rank-order classification of the respective model results, were similar in spatial patterns and identified similar strong explanatory variables associated with nitrate source (population density as a proxy for sewage systems and septic sources) and nitrate occurrence (groundwater depth).
","language":"English","publisher":"Groundwater","doi":"10.1111/gwat.12012","usgsCitation":"Sorichetta, A., Ballabio, C., Masetti, M., Robinson, G.R., and Sterlacchini, S., 2013, A comparison of data-driven groundwater vulnerability assessment methods: Groundwater, v. 51, no. 6, p. 866-879, https://doi.org/10.1111/gwat.12012.","productDescription":"14 p.","startPage":"866","endPage":"879","ipdsId":"IP-033744","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":348612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Milan District","otherGeospatial":"Po Plain","volume":"51","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-03","publicationStatus":"PW","scienceBaseUri":"5a07ef4ae4b09af898c8cd87","contributors":{"authors":[{"text":"Sorichetta, Alessandro","contributorId":199291,"corporation":false,"usgs":false,"family":"Sorichetta","given":"Alessandro","email":"","affiliations":[{"id":18032,"text":"European Commission, Joint Research Centere, Institute for Environment and Sustainability, Ispra Varese, Italy","active":true,"usgs":false}],"preferred":false,"id":721673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballabio, Cristiano","contributorId":199292,"corporation":false,"usgs":false,"family":"Ballabio","given":"Cristiano","email":"","affiliations":[{"id":18032,"text":"European Commission, Joint Research Centere, Institute for Environment and Sustainability, Ispra Varese, Italy","active":true,"usgs":false}],"preferred":false,"id":721674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masetti, Marco","contributorId":199293,"corporation":false,"usgs":false,"family":"Masetti","given":"Marco","email":"","affiliations":[{"id":29874,"text":"Università degli Studi di Milano, Milano, Italy","active":true,"usgs":false}],"preferred":false,"id":721675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Gilpin R. Jr. 0000-0002-9676-9564 grobinso@usgs.gov","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":172765,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":721676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sterlacchini, Simone","contributorId":199294,"corporation":false,"usgs":false,"family":"Sterlacchini","given":"Simone","email":"","affiliations":[{"id":35722,"text":"Istituto per la Dinamica dei Processi Ambientali, Consiglio Nazionale delle Ricerche (CNR-IDPA), Piazza della Scienza 1, 20126 Milan, Italy","active":true,"usgs":false}],"preferred":false,"id":721677,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195369,"text":"70195369 - 2013 - An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data","interactions":[],"lastModifiedDate":"2018-02-12T12:41:08","indexId":"70195369","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data","docAbstract":"LiDAR (Light Detection and Ranging) surveys of karst terrains provide high-resolution digital elevation models (DEMs) that are particularly useful for mapping sinkholes. In this study, we used automated processing tools within ArcGIS (v. 10.0) operating on a 1.0 m resolution LiDAR DEM in order to delineate sinkholes and closed depressions in the Boyce 7.5 minute quadrangle located in the northern Shenandoah Valley of Virginia. The results derived from the use of the automated tools were then compared with depressions manually delineated by a geologist. Manual delineation of closed depressions was conducted using a combination of 1.0 m DEM hillshade, slopeshade, aerial imagery, and Topographic Position Index (TPI) rasters. The most effective means of visualizing depressions in the GIS was using an overlay of the partially transparent TPI raster atop the slopeshade raster at 1.0 m resolution. Manually identified depressions were subsequently checked using aerial imagery to screen for false positives, and targeted ground-truthing was undertaken in the field. The automated tools that were utilized include the routines in ArcHydro Tools (v. 2.0) for prescreening, evaluating, and selecting sinks and depressions as well as thresholding, grouping, and assessing depressions from the TPI raster. Results showed that the automated delineation of sinks and depressions within the ArcHydro tools was highly dependent upon pre-conditioning of the DEM to produce \"hydrologically correct\" surface flow routes. Using stream vectors obtained from the National Hydrologic Dataset alone to condition the flow routing was not sufficient to produce a suitable drainage network, and numerous artificial depressions were generated where roads, railways, or other manmade structures acted as flow barriers in the elevation model. Additional conditioning of the DEM with drainage paths across these barriers was required prior to automated 2delineation of sinks and depressions. In regions where the DEM had been properly conditioned, the tools for automated delineation performed reasonably well as compared to the manually delineated depressions, but generally overestimated the number of depressions thus necessitating manual filtering of the final results. Results from the TPI thresholding analysis were not dependent on DEM pre-conditioning, but the ability to extract meaningful depressions depended on careful assessment of analysis scale and TPI thresholding.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Thirteenth Multidisciplinary Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"National Cave and Karst Research Insititute","doi":"10.5038/9780979542275.1156","usgsCitation":"Doctor, D.H., and Young, J.A., 2013, An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data, in Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Thirteenth Multidisciplinary Conference, p. 449-458, https://doi.org/10.5038/9780979542275.1156.","productDescription":"9 p.","startPage":"449","endPage":"458","ipdsId":"IP-044120","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":488751,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.usf.edu/sinkhole_2013/Proceedings/Mapping_Management/8","text":"External Repository"},{"id":351475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afef06de4b0da30c1bfc7e6","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":728192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":728193,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193607,"text":"70193607 - 2013 - The Chaitén rhyolite lava dome: Eruption sequence, lava dome volumes, rapid effusion rates and source of the rhyolite magma","interactions":[],"lastModifiedDate":"2021-02-11T17:03:00.983319","indexId":"70193607","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":766,"text":"Andean Geology","active":true,"publicationSubtype":{"id":10}},"title":"The Chaitén rhyolite lava dome: Eruption sequence, lava dome volumes, rapid effusion rates and source of the rhyolite magma","docAbstract":"We use geologic field mapping and sampling, photogrammetric analysis of oblique aerial photographs, and digital elevation models to document the 2008-2009 eruptive sequence at Chaitén Volcano and to estimate volumes and effusion rates for the lava dome. We also present geochemical and petrologic data that contribute to understanding the source of the rhyolite and its unusually rapid effusion rates. The eruption consisted of five major phases: 1. An explosive phase (1-11 May 2008); 2. A transitional phase (11-31 May 2008) in which low-altitude tephra columns and simultaneous lava extrusion took place; 3. An exogenous lava flow phase (June-September 2008); 4. A spine extrusion and endogenous growth phase (October 2008-February 2009); and 5. A mainly endogenous growth phase that began after the collapse of a prominent Peléean spine on 19 February 2009 and continued until the end of the eruption (late 2009 or possibly earliest 2010). The 2008-2009 rhyolite lava dome has a total volume of approximately 0.8 km3. The effusion rate averaged 66 m3s-1 during the first two weeks and averaged 45 m3s-1 for the first four months of the eruption, during which 0.5 km3 of rhyolite lava was erupted. These are among the highest rates measured world-wide for historical eruptions of silicic lava. Chaitén’s 2008-2009 lava is phenocryst-poor obsidian and microcrystalline rhyolite with 75.3±0.3% SiO2. The lava was erupted at relatively high temperature and is remarkably similar in composition and petrography to Chaitén’s pre-historic rhyolite. The rhyolite’s normative composition plots close to that of low pressure (100-200 MPa) minimum melts in the granite system, consistent with estimates of approximately 5 to 10 km source depths based on phase equilibria and geodetic studies. Calcic plagioclase, magnesian orthopyroxene and aluminous amphibole among the sparse phenocrysts suggest derivation of the rhyolite by melt extraction from a more mafic magmatic mush. High temperature and relatively low viscosity enabled rapid magma ascent and high effusion rates during the dome-forming phases of the 2008-2009 eruption.
","language":"English","publisher":"Servicio Nacional de Geología y Minería","doi":"10.5027/andgeoV40n2-a06","usgsCitation":"Pallister, J.S., Diefenbach, A.K., Burton, W.C., Munoz, J., Griswold, J.P., Lara, L.E., Lowenstern, J.B., and Valenzuela, C.E., 2013, The Chaitén rhyolite lava dome: Eruption sequence, lava dome volumes, rapid effusion rates and source of the rhyolite magma: Andean Geology, v. 40, no. 2, p. 277-294, https://doi.org/10.5027/andgeoV40n2-a06.","productDescription":"18 p.","startPage":"277","endPage":"294","ipdsId":"IP-046247","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5027/andgeov40n2-a06","text":"External Repository"},{"id":348132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Chaitén Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.69790649414062,\n -42.87143519624264\n ],\n [\n -72.60177612304688,\n -42.87143519624264\n ],\n [\n -72.60177612304688,\n -42.80698811255234\n ],\n [\n -72.69790649414062,\n -42.80698811255234\n ],\n [\n -72.69790649414062,\n -42.87143519624264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"59fc2eaee4b0531197b27fee","contributors":{"authors":[{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818 adiefenbach@usgs.gov","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":1084,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela","email":"adiefenbach@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":719587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":719957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munoz, Jorge","contributorId":199618,"corporation":false,"usgs":false,"family":"Munoz","given":"Jorge","email":"","affiliations":[],"preferred":false,"id":719958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griswold, Julia P. griswold@usgs.gov","contributorId":4148,"corporation":false,"usgs":true,"family":"Griswold","given":"Julia","email":"griswold@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":719959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lara, Luis E.","contributorId":40500,"corporation":false,"usgs":true,"family":"Lara","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valenzuela, Carolina E.","contributorId":199617,"corporation":false,"usgs":false,"family":"Valenzuela","given":"Carolina","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719962,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193606,"text":"70193606 - 2013 - Pushing the Volcanic Explosivity Index to its limit and beyond: Constraints from exceptionally weak explosive eruptions at Kīlauea in 2008","interactions":[],"lastModifiedDate":"2017-11-03T18:30:05","indexId":"70193606","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pushing the Volcanic Explosivity Index to its limit and beyond: Constraints from exceptionally weak explosive eruptions at Kīlauea in 2008","docAbstract":"Estimating the mass, volume, and dispersal of the deposits of very small and/or extremely weak explosive eruptions is difficult, unless they can be sampled on eruption. During explosive eruptions of Halema‘uma‘u Crater (Kīlauea, Hawaii) in 2008, we constrained for the first time deposits of bulk volumes as small as 9–300 m3 (1 × 104 to 8 × 105 kg) and can demonstrate that they show simple exponential thinning with distance from the vent. There is no simple fit for such products within classifications such as the Volcanic Explosivity Index (VEI). The VEI is being increasingly used as the measure of magnitude of explosive eruptions, and as an input for both hazard modeling and forecasting of atmospheric dispersal of tephra. The 2008 deposits demonstrate a problem for the use of the VEI, as originally defined, which classifies small, yet ballistic-producing, explosive eruptions at Kīlauea and other basaltic volcanoes as nonexplosive. We suggest a simple change to extend the scale in a fashion inclusive of such very small deposits, and to make the VEI more consistent with other magnitude scales such as the Richter scale for earthquakes. Eruptions of this magnitude constitute a significant risk at Kīlauea and elsewhere because of their high frequency and the growing number of “volcano tourists” visiting basaltic volcanoes.
","language":"English","publisher":"Geology","doi":"10.1130/G34146.1","usgsCitation":"Houghton, B.F., Swanson, D., Rausch, J., Carey, R., Fagents, S., and Orr, T.R., 2013, Pushing the Volcanic Explosivity Index to its limit and beyond: Constraints from exceptionally weak explosive eruptions at Kīlauea in 2008: Geology, v. 41, no. 6, p. 627-630, https://doi.org/10.1130/G34146.1.","productDescription":"4 p.","startPage":"627","endPage":"630","ipdsId":"IP-046004","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502471,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Pushing_the_Volcanic_Explosivity_Index_to_its_limit_and_beyond_Constraints_from_exceptionally_weak_explosive_eruptions_at_Kilauea_in_2008/22902179","text":"External Repository"},{"id":348122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.33912658691406,\n 19.322159196965423\n ],\n [\n -155.14686584472656,\n 19.322159196965423\n ],\n [\n -155.14686584472656,\n 19.449759112405612\n ],\n [\n -155.33912658691406,\n 19.449759112405612\n ],\n [\n -155.33912658691406,\n 19.322159196965423\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eaee4b0531197b27ff2","contributors":{"authors":[{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":719583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rausch, J.","contributorId":7944,"corporation":false,"usgs":true,"family":"Rausch","given":"J.","email":"","affiliations":[],"preferred":false,"id":719584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carey, R.J.","contributorId":89749,"corporation":false,"usgs":true,"family":"Carey","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":719935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagents, S.A.","contributorId":58840,"corporation":false,"usgs":true,"family":"Fagents","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":719936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":139620,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":719937,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193252,"text":"70193252 - 2013 - Photogrammetric monitoring of lava dome growth during the 2009 eruption of Redoubt Volcano","interactions":[],"lastModifiedDate":"2021-02-11T16:54:28.349189","indexId":"70193252","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Photogrammetric monitoring of lava dome growth during the 2009 eruption of Redoubt Volcano","docAbstract":"The 2009 eruption of Redoubt Volcano, Alaska, began with a phreatic explosion on 15 March followed by a series of at least 19 explosive events and growth and destruction of at least two, and likely three, lava domes between 22 March and 4 April. On 4 April explosive activity gave way to continuous lava effusion within the summit crater. We present an analysis of post-4 April lava dome growth using an oblique photogrammetry approach that provides a safe, rapid, and accurate means of measuring dome growth. Photogrammetric analyses of oblique digital images acquired during helicopter observation flights and fixed-wing volcanic gas surveys produced a series of digital elevation models (DEMs) of the lava dome from 16 April to 23 September. The DEMs were used to calculate estimates of volume and time-averaged extrusion rates and to quantify morphological changes during dome growth.
Effusion rates ranged from a maximum of 35 m3 s− 1 during the initial two weeks to a low of 2.2 m3 s− 1 in early summer 2009. The average effusion rate from April to July was 9.5 m3 s− 1. Early, rapid dome growth was characterized by extrusion of blocky lava that spread laterally within the summit crater. In mid-to-late April the volume of the dome had reached 36 × 106 m3, roughly half of the total volume, and dome growth within the summit crater began to be limited by confining crater walls to the south, east, and west. Once the dome reached the steep, north-sloping gorge that breaches the crater, growth decreased to the south, but the dome continued to inflate and extend northward down the gorge. Effusion slowed during 16 April–1 May, but in early May the rate increased again. This rate increase was accompanied by a transition to exogenous dome growth. From mid-May to July the effusion rate consistently declined. The decrease is consistent with observations of reduced seismicity, gas emission, and thermal anomalies, as well as declining rates of geodetic deflation or inflation. These trends suggest dome growth ceased by July 2009. The volume of the dome at the end of the 2009 eruption was about 72 × 106 m3, more than twice the estimated volume of the largest dome extruded during the 1989–1990 eruption. In total, the 2009 dome extends over 400 m down the glacial gorge on the north end of the crater, with a total length of 1 km, width of 500 m and an average thickness of 200 m.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2011.12.009","usgsCitation":"Diefenbach, A.K., Bull, K.F., Wessels, R., and McGimsey, R.G., 2013, Photogrammetric monitoring of lava dome growth during the 2009 eruption of Redoubt Volcano: Journal of Volcanology and Geothermal Research, v. 259, p. 308-316, https://doi.org/10.1016/j.jvolgeores.2011.12.009.","productDescription":"9 p.","startPage":"308","endPage":"316","ipdsId":"IP-034240","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":347933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Redoubt Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.98736572265622,\n 60.39554019359665\n ],\n [\n -152.57400512695312,\n 60.39554019359665\n ],\n [\n -152.57400512695312,\n 60.58157148491742\n ],\n [\n -152.98736572265622,\n 60.58157148491742\n ],\n [\n -152.98736572265622,\n 60.39554019359665\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98bbee4b0531197afa03e","contributors":{"authors":[{"text":"Diefenbach, Angela K. 0000-0003-0214-7818 adiefenbach@usgs.gov","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":1084,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela","email":"adiefenbach@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":718366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bull, Katharine F.","contributorId":42692,"corporation":false,"usgs":true,"family":"Bull","given":"Katharine","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":718369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wessels, Rick 0000-0001-9711-6402 rwessels@usgs.gov","orcid":"https://orcid.org/0000-0001-9711-6402","contributorId":198602,"corporation":false,"usgs":true,"family":"Wessels","given":"Rick","email":"rwessels@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":718368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":718367,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193386,"text":"70193386 - 2013 - Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data","interactions":[],"lastModifiedDate":"2017-11-15T11:25:37","indexId":"70193386","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","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":"Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data","docAbstract":"Livelihood systems that depend on mobile resources must constantly adapt to change. For people living in permanent settlements, environmental changes that affect the distribution of a migratory species may reduce the availability of a primary food source, with the potential to destabilize the regional social-ecological system. Food security for Arctic indigenous peoples harvesting barren ground caribou (Rangifer tarandus granti) depends on movement patterns of migratory herds. Quantitative assessments of physical, ecological, and social effects on caribou distribution have proven difficult because of the significant interannual variability in seasonal caribou movement patterns. We developed and evaluated a modeling approach for simulating the distribution of a migratory herd throughout its annual cycle over a multiyear period. Beginning with spatial and temporal scales developed in previous studies of the Porcupine Caribou Herd of Canada and Alaska, we used satellite collar locations to compute and analyze season-by-season probabilities of movement of animals between habitat zones under two alternative weather conditions for each season. We then built a set of transition matrices from these movement probabilities, and simulated the sequence of movements across the landscape as a Markov process driven by externally imposed seasonal weather states. Statistical tests showed that the predicted distributions of caribou were consistent with observed distributions, and significantly correlated with subsistence harvest levels for three user communities. Our approach could be applied to other caribou herds and could be adapted for simulating the distribution of other ungulates and species with similarly large interannual variability in the use of their range.
","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-05376-180201","usgsCitation":"Nicolson, C., Berman, M., West, C.T., Kofinas, G.P., Griffith, B., Russell, D., and Dugan, D., 2013, Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data: Ecology and Society, v. 18, no. 2, Article 1; 19 p., https://doi.org/10.5751/ES-05376-180201.","productDescription":"Article 1; 19 p.","ipdsId":"IP-022189","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-05376-180201","text":"Publisher Index Page"},{"id":348874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon Territory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.04052734375,\n 64.87693823228865\n ],\n [\n -130.2978515625,\n 64.87693823228865\n ],\n [\n -130.2978515625,\n 70.44415495538642\n ],\n [\n -149.04052734375,\n 70.44415495538642\n ],\n [\n -149.04052734375,\n 64.87693823228865\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610312e4b06e28e9c254ba","contributors":{"authors":[{"text":"Nicolson, Craig","contributorId":8565,"corporation":false,"usgs":true,"family":"Nicolson","given":"Craig","email":"","affiliations":[],"preferred":false,"id":722126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berman, Matthew","contributorId":200375,"corporation":false,"usgs":false,"family":"Berman","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":722127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, Colin Thor","contributorId":200376,"corporation":false,"usgs":false,"family":"West","given":"Colin","email":"","middleInitial":"Thor","affiliations":[],"preferred":false,"id":722128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kofinas, Gary P.","contributorId":200377,"corporation":false,"usgs":false,"family":"Kofinas","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":722129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffith, Brad","contributorId":190362,"corporation":false,"usgs":false,"family":"Griffith","given":"Brad","affiliations":[],"preferred":false,"id":722130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russell, Don","contributorId":200378,"corporation":false,"usgs":false,"family":"Russell","given":"Don","email":"","affiliations":[],"preferred":false,"id":722131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dugan, Darcy","contributorId":200379,"corporation":false,"usgs":false,"family":"Dugan","given":"Darcy","email":"","affiliations":[],"preferred":false,"id":722132,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193611,"text":"70193611 - 2013 - Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2017-11-02T13:37:27","indexId":"70193611","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii","docAbstract":"Eruptive activity at the summit of Kilauea Volcano, Hawaii, beginning in 2010 and continuing to the present time is characterized by transient outgassing bursts accompanied by very long period (VLP) seismic signals triggered by rockfalls from the vent walls impacting a lava lake in a pit within the Halemaumau pit crater. We use raw data recorded with an 11-station broadband network to model the source mechanism of signals accompanying two large rockfalls on 29 August 2012 and two smaller average rockfalls obtained by stacking over all events with similar waveforms to improve the signal-to-noise ratio. To determine the source centroid location and source mechanism, we minimize the residual error between data and synthetics calculated by the finite difference method for a point source embedded in a homogeneous medium that takes topography into account. We apply a new waveform inversion method that accounts for the contributions from both translation and tilt in horizontal seismograms through the use of Green's functions representing the seismometer response to translation and tilt ground motions. This method enables a robust description of the source mechanism over the period range 1–1000 s. The VLP signals associated with the rockfalls originate in a source region ∼1 km below the eastern perimeter of the Halemaumau pit crater. The observed waveforms are well explained by a simple volumetric source with geometry composed of two intersecting cracks including an east striking crack (dike) dipping 80° to the north, intersecting a north striking crack (another dike) dipping 65° to the east. Each rockfall is marked by a similar step-like inflation trailed by decaying oscillations of the volumetric source, attributed to the efficient coupling at the source centroid location of the pressure and momentum changes induced by the rock mass impacting the top of the lava column. Assuming a simple lumped parameter representation of the shallow magmatic system, the observed pressure and volume variations can be modeled with the following attributes: rockfall volume (200–4500 m3), length of magma column (120–210 m), diameter of pipe connecting the Halemaumau pit crater to the subjacent dike system (6 m), average thickness of the two underlying dikes (3–6 m), and effective magma viscosity (30–210 Pa s). Most rockfalls occur during episodes of sustained deflation of the Kilauea summit. The mass loss rate in the shallow magmatic system is estimated to be 1400–15,000 kg s−1 based on measurements of the temporal variation of VLP period in the two large rockfalls that occurred on 29 August 2012.
","language":"English","publisher":"AGU","doi":"10.1002/jgrb.50376","usgsCitation":"Chouet, B.A., and Dawson, P.B., 2013, Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii: Journal of Geophysical Research B: Solid Earth, v. 118, no. 10, p. 5352-5371, https://doi.org/10.1002/jgrb.50376.","productDescription":"20 p.","startPage":"5352","endPage":"5371","ipdsId":"IP-051372","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50376","text":"Publisher Index Page"},{"id":348094,"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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.36453247070312,\n 19.32539900916396\n ],\n [\n -155.12832641601562,\n 19.32539900916396\n ],\n [\n -155.12832641601562,\n 19.51578670986151\n ],\n [\n -155.36453247070312,\n 19.51578670986151\n ],\n [\n -155.36453247070312,\n 19.32539900916396\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"118","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"59fc2eaee4b0531197b27fe9","contributors":{"authors":[{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719620,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193434,"text":"70193434 - 2013 - The ovenbird (Seiurus aurocapilla) as a model for testing food-value theory","interactions":[],"lastModifiedDate":"2017-11-14T14:34:10","indexId":"70193434","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The ovenbird (Seiurus aurocapilla) as a model for testing food-value theory","title":"The ovenbird (Seiurus aurocapilla) as a model for testing food-value theory","docAbstract":"Food-value theory states that territorial animals space themselves such that each territory contains adequate food for rearing young. The ovenbird (Seiurus aurocapilla) is often cited as a species for which this hypothesis is supported because ovenbird territory size is inversely related to ground-invertebrate abundance within territories. However, little is known about juvenile ovenbird diet and whether food availability is accurately assessed using ground-sampling methods. We examined the relationship between ground-litter food availability and juvenile ovenbird diet in mixed northern hardwood-coniferous forests of north-central Minnesota. We sampled food availability with pitfall traps and litter samples, and concurrently sampled diet of juvenile ovenbirds from stomach samples. We found that juvenile ovenbirds were fed selectively from available food resources. In addition, we found that both ground-sampling methods greatly under-sampled forest caterpillars and snails, which together comprised 63% of juvenile ovenbird diet by mass. Combined with recent radio-telemetry findings that spot-mapping methods can poorly estimate territory size for forest songbirds, our results suggest that comparisons of spot-mapped ovenbird territories with ground-sampled invertebrate availability may not be reliable tests of food-value theory.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-169.1.214","usgsCitation":"Streby, H.M., Peterson, S.M., Scholtens, B., Monroe, A., and Andersen, D.E., 2013, The ovenbird (Seiurus aurocapilla) as a model for testing food-value theory: The American Midland Naturalist, v. 169, no. 1, p. 214-220, https://doi.org/10.1674/0003-0031-169.1.214.","productDescription":"7 p.","startPage":"214","endPage":"220","ipdsId":"IP-028013","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"169","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610312e4b06e28e9c254b8","contributors":{"authors":[{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":722065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":722066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholtens, Brian","contributorId":200364,"corporation":false,"usgs":false,"family":"Scholtens","given":"Brian","email":"","affiliations":[],"preferred":false,"id":722067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719035,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70006283,"text":"70006283 - 2013 - Tamarix, hydrology and fluvial geomorphology","interactions":[],"lastModifiedDate":"2022-12-20T15:02:14.764881","indexId":"70006283","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","displayTitle":"Tamarix, hydrology and fluvial geomorphology","title":"Tamarix, hydrology and fluvial geomorphology","docAbstract":"This chapter explores the impact of hydrology and fluvial geomorphology on the distribution and abundance of Tamarix as well as the reciprocal effects of Tamarix on hydrologic and geomorphic conditions. It examines whether flow-regime alteration favors Tamarix establishment over native species, and how Tamarix stands modify processes involved in the narrowing of river channels and the formation of floodplains. It begins with an overview of the basic geomorphic and hydrologic character of rivers in the western United States before analyzing how this setting has contributed to the regional success of Tamarix. It then considers the influence of Tamarix on the hydrogeomorphic form and function of rivers and concludes by discussing how a changing climate, vegetation management, and continued water-resource development affect the future role of Tamarix in these ecosystems.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tamarix: A case study of ecological change in the American West","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:osobl/9780199898206.003.0007","usgsCitation":"Auerbach, D., Merritt, D.M., and Shafroth, P.B., 2013, Tamarix, hydrology and fluvial geomorphology, chap. 7 of Tamarix: A case study of ecological change in the American West, p. 99-122, https://doi.org/10.1093/acprof:osobl/9780199898206.003.0007.","productDescription":"24 p.","startPage":"99","endPage":"122","ipdsId":"IP-034390","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":331328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583ff351e4b04fc80e43726e","contributors":{"editors":[{"text":"Sher, Anna A","contributorId":146314,"corporation":false,"usgs":false,"family":"Sher","given":"Anna","email":"","middleInitial":"A","affiliations":[{"id":12651,"text":"University of Denver","active":true,"usgs":false}],"preferred":false,"id":654507,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Quigley, Martin F.","contributorId":112538,"corporation":false,"usgs":true,"family":"Quigley","given":"Martin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":654508,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Auerbach, Daniel A.","contributorId":147716,"corporation":false,"usgs":false,"family":"Auerbach","given":"Daniel A.","affiliations":[],"preferred":false,"id":654504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merritt, David M.","contributorId":95976,"corporation":false,"usgs":true,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":654505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":654506,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042009,"text":"70042009 - 2013 - Seismic structure of the crust and uppermost mantle of South America and surrounding oceanic basins","interactions":[],"lastModifiedDate":"2013-02-12T16:28:01","indexId":"70042009","displayToPublicDate":"2012-12-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismic structure of the crust and uppermost mantle of South America and surrounding oceanic basins","docAbstract":"We present a new set of contour maps of the seismic structure of South America and the surrounding ocean basins. These maps include new data, helping to constrain crustal thickness, whole-crustal average P-wave and S-wave velocity, and the seismic velocity of the uppermost mantle (Pn and Sn). We find that: (1) The weighted average thickness of the crust under South America is 38.17 km (standard deviation, s.d. ±8.7 km), which is ∼1 km thinner than the global average of 39.2 km (s.d. ±8.5 km) for continental crust. (2) Histograms of whole-crustal P-wave velocities for the South American crust are bi-modal, with the lower peak occurring for crust that appears to be missing a high-velocity (6.9–7.3 km/s) lower crustal layer. (3) The average P-wave velocity of the crystalline crust (Pcc) is 6.47 km/s (s.d. ±0.25 km/s). This is essentially identical to the global average of 6.45 km/s. (4) The average Pn velocity beneath South America is 8.00 km/s (s.d. ±0.23 km/s), slightly lower than the global average of 8.07 km/s. (5) A region across northern Chile and northeast Argentina has anomalously low P- and S-wave velocities in the crust. Geographically, this corresponds to the shallowly-subducted portion of the Nazca plate (the Pampean flat slab first described by Isacks et al., 1968), which is also a region of crustal extension. (6) The thick crust of the Brazilian craton appears to extend into Venezuela and Colombia. (7) The crust in the Amazon basin and along the western edge of the Brazilian craton may be thinned by extension. (8) The average crustal P-wave velocity under the eastern Pacific seafloor is higher than under the western Atlantic seafloor, most likely due to the thicker sediment layer on the older Atlantic seafloor.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jsames.2012.06.002","usgsCitation":"Chulick, G.S., Detweiler, S., and Mooney, W.D., 2013, Seismic structure of the crust and uppermost mantle of South America and surrounding oceanic basins: Bulletin of the Seismological Society of America, v. 42, p. 260-276, https://doi.org/10.1016/j.jsames.2012.06.002.","productDescription":"17 p.","startPage":"260","endPage":"276","ipdsId":"IP-037785","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":264907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264906,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jsames.2012.06.002"}],"otherGeospatial":"South America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,-56.5 ], [ -94.0,13.1 ], [ -32.6,13.1 ], [ -32.6,-56.5 ], [ -94.0,-56.5 ] ] ] } } ] }","volume":"42","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4bd4fe4b0e8fec6cdf9b4","contributors":{"authors":[{"text":"Chulick, Gary S.","contributorId":36823,"corporation":false,"usgs":true,"family":"Chulick","given":"Gary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":470590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Detweiler, Shane","contributorId":38874,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","affiliations":[],"preferred":false,"id":470591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":470589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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