No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"U.S. Association for Energy Economics and International Association for Energy Economics North American Conference, 34th","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"U.S. Association for Energy Economics","usgsCitation":"Anderson, S.T., 2016, Liability, and the costs of CO2 sequestration, in U.S. Association for Energy Economics and International Association for Energy Economics North American Conference, 34th, 2 p.","productDescription":"2 p.","ipdsId":"IP-076642","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756798,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70169861,"text":"70169861 - 2016 - Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs","interactions":[],"lastModifiedDate":"2018-08-07T13:48:36","indexId":"70169861","displayToPublicDate":"2016-01-01T13:48:29","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs","docAbstract":"Recent studies have shown that the total nitrogen to total phosphorus (TN:TP) ratio and nitrogen oxidation state may have substantial effects on secondary metabolite (e.g., microcystins) production in cyanobacteria. We investigated the relationship between the water column TN:TP ratio and the cyanobacterial secondary metabolites geosmin, 2-methylisoborneol (MIB), and microcystin using multiple years of data from 4 reservoirs located in the Midwestern United States. We also examined the relationship between water column concentrations of chemically oxidized (NO3) and reduced (NH3) nitrogen, the NO3:NH3 ratio, cyanobacterial biovolume, and associated secondary metabolites. We found that the cyanobacterial secondary metabolites geosmin, MIB, and microcystin primarily occurred when the TN:TP ratio was <30:1 (by mass), likely due to higher cyanobacterial biovolumes at lower TN:TP ratios. We also found that relative cyanobacterial biovolume was inversely related to the NO3:NH3 ratio. Both N2- and non-N2-fixing cyanobacteria seemed to produce secondary metabolites and had higher concentrations per unit biovolume when NO3:NH3 ratios were relatively low. Our data thus are consistent with the hypothesis that lower TN:TP ratios favor cyanobacterial dominance and also suggest that relatively low NO3:NH3 ratios provide conditions that may favor the production of cyanobacterial secondary metabolites. Our data further suggest that increases in the absolute concentrations of TP or NH3 (or both), causing decreases in TN:TP and NO3:NH3ratios, respectively, may stimulate cyanobacteria having the metabolic ability to produce geosmin, MIB, or microcystins. Future studies should address how the NO3:NH3 ratio affects phytoplankton community structure and occurrence and production of cyanobacterial secondary metabolites.
","language":"English","publisher":"Taylor & Francis","doi":"10.5268/IW-6.2.938","usgsCitation":"Harris, T.D., Smith, V.H., Graham, J., Van de Waal, D.B., Tedesco, L., and Clercin, N., 2016, Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs: Inland Waters, v. 6, no. 2, p. 199-210, https://doi.org/10.5268/IW-6.2.938.","productDescription":"12 p.","startPage":"199","endPage":"210","ipdsId":"IP-061939","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":471354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5268/iw-6.2.938","text":"Publisher Index Page"},{"id":356288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fca0fe4b0f5d57878ec88","contributors":{"authors":[{"text":"Harris, Theodore D. 0000-0003-0944-8007 tdharris@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-8007","contributorId":4040,"corporation":false,"usgs":true,"family":"Harris","given":"Theodore","email":"tdharris@usgs.gov","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":625361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Val H.","contributorId":168292,"corporation":false,"usgs":false,"family":"Smith","given":"Val","email":"","middleInitial":"H.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":625364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":625362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van de Waal, Dedmer B.","contributorId":168291,"corporation":false,"usgs":false,"family":"Van de Waal","given":"Dedmer","email":"","middleInitial":"B.","affiliations":[{"id":25240,"text":"NIOO-KNAW","active":true,"usgs":false}],"preferred":false,"id":625363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tedesco, Lenore","contributorId":168293,"corporation":false,"usgs":false,"family":"Tedesco","given":"Lenore","email":"","affiliations":[{"id":25241,"text":"Wetlands institute","active":true,"usgs":false}],"preferred":false,"id":625365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clercin, Nicolas","contributorId":168294,"corporation":false,"usgs":false,"family":"Clercin","given":"Nicolas","email":"","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":625366,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70162270,"text":"70162270 - 2016 - Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis","interactions":[],"lastModifiedDate":"2016-01-20T12:26:57","indexId":"70162270","displayToPublicDate":"2016-01-01T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis","docAbstract":"Environmental DNA sampling (eDNA) has emerged as a powerful tool for detecting aquatic animals. Previous research suggests that eDNA methods are substantially more sensitive than traditional sampling. However, the factors influencing eDNA detection and the resulting sampling costs are still not well understood. Here we use multiple experiments to derive independent estimates of eDNA production rates and downstream persistence from brook trout (Salvelinus fontinalis) in streams. We use these estimates to parameterize models comparing the false negative detection rates of eDNA sampling and traditional backpack electrofishing. We find that using the protocols in this study eDNA had reasonable detection probabilities at extremely low animal densities (e.g., probability of detection 0.18 at densities of one fish per stream kilometer) and very high detection probabilities at population-level densities (e.g., probability of detection > 0.99 at densities of ≥ 3 fish per 100 m). This is substantially more sensitive than traditional electrofishing for determining the presence of brook trout and may translate into important cost savings when animals are rare. Our findings are consistent with a growing body of literature showing that eDNA sampling is a powerful tool for the detection of aquatic species, particularly those that are rare and difficult to sample using traditional methods.
","language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2015.12.023","usgsCitation":"Wilcox, T., Mckelvey, K.S., Young, M.K., Sepulveda, A.J., Shepard, B.B., Jane, S., Whiteley, A.R., Lowe, W.H., and Schwartz, M.K., 2016, Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis: Biological Conservation, v. 194, p. 209-216, https://doi.org/10.1016/j.biocon.2015.12.023.","productDescription":"8 p.","startPage":"209","endPage":"216","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066118","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471355,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2015.12.023","text":"Publisher Index 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USA","active":true,"usgs":false}],"preferred":false,"id":589058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":589059,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":589060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":589061,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70159817,"text":"70159817 - 2016 - Moss and vascular plant indices in Ohio wetlands have similar environmental predictors","interactions":[],"lastModifiedDate":"2016-01-06T12:12:51","indexId":"70159817","displayToPublicDate":"2016-01-01T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Moss and vascular plant indices in Ohio wetlands have similar environmental predictors","docAbstract":"Mosses and vascular plants have been shown to be reliable indicators of wetland habitat delineation and environmental quality. Knowledge of the best ecological predictors of the quality of wetland moss and vascular plant communities may determine if similar management practices would simultaneously enhance both populations. We used Akaike's Information Criterion to identify models predicting a moss quality assessment index (MQAI) and a vascular plant index of biological integrity based on floristic quality (VIBI-FQ) from 27 emergent and 13 forested wetlands in Ohio, USA. The set of predictors included the six metrics from a wetlands disturbance index (ORAM) and two landscape development intensity indices (LDIs). The best single predictor of MQAI and one of the predictors of VIBI-FQ was an ORAM metric that assesses habitat alteration and disturbance within the wetland, such as mowing, grazing, and agricultural practices. However, the best single predictor of VIBI-FQ was an ORAM metric that assessed wetland vascular plant communities, interspersion, and microtopography. LDIs better predicted MQAI than VIBI-FQ, suggesting that mosses may either respond more rapidly to, or recover more slowly from, anthropogenic disturbance in the surrounding landscape than vascular plants. These results supported previous predictive studies on amphibian indices and metrics and a separate vegetation index, indicating that similar wetland management practices may result in qualitatively the same ecological response for three vastly different wetland biological communities (amphibians, vascular plants, and mosses).
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2015.11.036","usgsCitation":"Stapanian, M.A., Schumacher, W., Gara, B., Adams, J.V., and Viau, N., 2016, Moss and vascular plant indices in Ohio wetlands have similar environmental predictors: Ecological Indicators, v. 62, p. 138-146, https://doi.org/10.1016/j.ecolind.2015.11.036.","productDescription":"9 p.","startPage":"138","endPage":"146","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066410","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Brian","contributorId":52061,"corporation":false,"usgs":true,"family":"Gara","given":"Brian","affiliations":[],"preferred":false,"id":580581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":580582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viau, Nick","contributorId":150061,"corporation":false,"usgs":false,"family":"Viau","given":"Nick","email":"","affiliations":[{"id":17898,"text":"Ohio Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":580583,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159818,"text":"70159818 - 2016 - Mosses in Ohio wetlands respond to indices of disturbance and vascular plant integrity","interactions":[],"lastModifiedDate":"2016-01-06T12:06:13","indexId":"70159818","displayToPublicDate":"2016-01-01T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Mosses in Ohio wetlands respond to indices of disturbance and vascular plant integrity","docAbstract":"We examined the relationships between an index of wetland habitat quality and disturbance (ORAM score) and an index of vascular plant integrity (VIBI-FQ score) with moss species richness and a moss quality assessment index (MQAI) in 45 wetlands in three vegetation types in Ohio, USA. Species richness of mosses and MQAI were positively associated with ORAM and VIBI-FQ scores. VIBI-FQ score was a better predictor of both moss species richness and MQAI than was either ORAM score or vegetation type. This result was consistent with the strict microhabitat requirements for many moss species, which may be better assessed by VIBI-FQ than ORAM. Probability curves as a function of VIBI-FQ score were then generated for presence of groups of moss species having the same degree of fidelity to substrate and plant communities relative to other species in the moss flora (coefficients of conservatism, CCs). Species having an intermediate- or high degree of fidelity to substrate and plant communities (i.e., species with CC ≥ 5) had a 50% probability of presence (P50) and 90% probability of presence (P90) in wetlands with intermediate- and high VIBI-FQ scores, respectively. Although moss species richness, probability of presence of species based on CC, and MQAI may reflect wetland habitat quality, the 95% confidence intervals around P50 and P90 values may be too wide for regulatory use. Moss species richness, MQAI, and presence of groups of mosses may be more useful for evaluating moss habitat quality in wetlands than a set of “indicator species.”
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2015.11.047","usgsCitation":"Stapanian, M.A., Schumacher, W., Gara, B., and Viau, N., 2016, Mosses in Ohio wetlands respond to indices of disturbance and vascular plant integrity: Ecological Indicators, v. 63, p. 110-120, https://doi.org/10.1016/j.ecolind.2015.11.047.","productDescription":"11 p.","startPage":"110","endPage":"120","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065213","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Toward more realistic projections of soil carbon dynamics by Earth system models","docAbstract":"Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real-world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first-order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth-dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool- and flux-based data sets through data assimilation is among the highest priorities for near-term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.
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David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":623378,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Parton, William","contributorId":75175,"corporation":false,"usgs":true,"family":"Parton","given":"William","affiliations":[],"preferred":false,"id":623574,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Peng, Changhui","contributorId":8357,"corporation":false,"usgs":true,"family":"Peng","given":"Changhui","affiliations":[],"preferred":false,"id":623575,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Randerson, J.","contributorId":94458,"corporation":false,"usgs":true,"family":"Randerson","given":"J.","affiliations":[],"preferred":false,"id":623576,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Salazar, Alejandro","contributorId":167804,"corporation":false,"usgs":false,"family":"Salazar","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":623577,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Sierra, Carlos A.","contributorId":30521,"corporation":false,"usgs":true,"family":"Sierra","given":"Carlos A.","affiliations":[],"preferred":false,"id":623578,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Smith, Matthew J.","contributorId":61701,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623579,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Tian, Hanqin","contributorId":117981,"corporation":false,"usgs":true,"family":"Tian","given":"Hanqin","email":"","affiliations":[],"preferred":false,"id":623580,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Todd-Brown, Katherine E. O","contributorId":167805,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","email":"","middleInitial":"E. O","affiliations":[],"preferred":false,"id":623581,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Torn, Margaret S.","contributorId":28179,"corporation":false,"usgs":false,"family":"Torn","given":"Margaret","email":"","middleInitial":"S.","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false},{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":623582,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"van Groenigen, Kees Jan","contributorId":167806,"corporation":false,"usgs":false,"family":"van Groenigen","given":"Kees","email":"","middleInitial":"Jan","affiliations":[],"preferred":false,"id":623583,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Wang, Ying","contributorId":76237,"corporation":false,"usgs":true,"family":"Wang","given":"Ying","email":"","affiliations":[],"preferred":false,"id":623584,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"West, Tristram O.","contributorId":39230,"corporation":false,"usgs":true,"family":"West","given":"Tristram","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":623585,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Wei, Yaxing","contributorId":79347,"corporation":false,"usgs":true,"family":"Wei","given":"Yaxing","email":"","affiliations":[],"preferred":false,"id":623586,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Wieder, William R.","contributorId":75792,"corporation":false,"usgs":true,"family":"Wieder","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623587,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Xia, Jianyang","contributorId":167809,"corporation":false,"usgs":false,"family":"Xia","given":"Jianyang","email":"","affiliations":[],"preferred":false,"id":623588,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Xu, Xia","contributorId":167810,"corporation":false,"usgs":false,"family":"Xu","given":"Xia","email":"","affiliations":[],"preferred":false,"id":623589,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Xu, Xiaofeng","contributorId":167811,"corporation":false,"usgs":false,"family":"Xu","given":"Xiaofeng","email":"","affiliations":[],"preferred":false,"id":623590,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Zhou, T.","contributorId":93248,"corporation":false,"usgs":true,"family":"Zhou","given":"T.","email":"","affiliations":[],"preferred":false,"id":623591,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70199655,"text":"70199655 - 2016 - Pre-Mississippian tectonic affinity across the Canada Basin–Arctic margins of Alaska and Canada","interactions":[],"lastModifiedDate":"2018-09-24T11:48:21","indexId":"70199655","displayToPublicDate":"2016-01-01T11:48:10","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pre-Mississippian tectonic affinity across the Canada Basin–Arctic margins of Alaska and Canada","docAbstract":"New and reprocessed seismic reflection data on the Alaskan and Canadian Arctic margins of the Canada Basin, together with geologic constraints from exploration wells and outcrops, reveal structural and stratigraphic relationships in pre-Mississippian rocks that constrain models of Canada Basin opening. Lithostratigraphic age and acoustic character indicate that the Devonian and older passive-margin to foreland-basin succession in the Canadian M’Clure Strait is also found on the central Alaska margin. This succession also displays similar structural geometry and relief as well as deformational age on both margins. Moreover, Middle Devonian to Early Mississippian tectonic vergence—north directed on the central Alaska margin and east directed in the Canadian M’Clure Strait—indicates a common direction of tectonic transport if the two margins were conjugate. All of these observations demonstrate that pre-Mississippian rocks of the Alaskan and Canadian Arctic margins share a common tectonic history of uplift and exhumation and that the two margins were conjugates prior to opening of the Canada Basin.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G37862.1","usgsCitation":"Houseknecht, D.W., and Connors, C., 2016, Pre-Mississippian tectonic affinity across the Canada Basin–Arctic margins of Alaska and Canada: Geology, v. 44, no. 7, p. 507-510, https://doi.org/10.1130/G37862.1.","productDescription":"4 p.","startPage":"507","endPage":"510","ipdsId":"IP-073852","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":471357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g37862.1","text":"Publisher Index Page"},{"id":357672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160,\n 69\n ],\n [\n -144,\n 69\n ],\n [\n -144,\n 72\n ],\n [\n -160,\n 72\n ],\n [\n -160,\n 69\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-01","publicationStatus":"PW","scienceBaseUri":"5bc03402e4b0fc368eb53a92","contributors":{"authors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connors, Christopher D.","contributorId":11950,"corporation":false,"usgs":true,"family":"Connors","given":"Christopher D.","affiliations":[],"preferred":false,"id":746084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198530,"text":"70198530 - 2016 - Slab-rollback ignimbrite flareups in the southern Great Basin and other Cenozoic American arcs: A distinct style of arc volcanism","interactions":[],"lastModifiedDate":"2018-08-07T11:47:45","indexId":"70198530","displayToPublicDate":"2016-01-01T11:45:02","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Slab-rollback ignimbrite flareups in the southern Great Basin and other Cenozoic American arcs: A distinct style of arc volcanism","docAbstract":"In continental-margin subduction zones, basalt magmas spawned in the mantle interact with the crust to produce a broad spectrum of volcanic arc associations. A distinct style of very voluminous arc volcanism develops far inland on thick crust over periods of 10–20 m.y. and involves relatively infrequent caldera-forming explosive eruptions of dominantly calc-alkaline rhyolite, dacite, and trachydacite with repose times of 104–106 yr. Volumes of individual eruptions are large (102–103 km3), and nested super-eruptions of thousands of cubic kilometers are common. Calderas are as much as 60–75 km in diameter, and surrounding individual ignimbrite outflow sheets extend outward as much as 150 km, blanketing upwards of 105 km2. Little or no basalt is extruded, whereas andesitic differentiates coeval with silicic ignimbrites range from minor to dominant in relative volume. A common feature in these flareups is essentially nonextending, thick, inland crust overlying a subducting oceanic plate with transverse tears that rolled back to a steeper dip from a previously flat configuration. Lithospheric delamination is locally possible. Large volumes of basalt that provide heat and mass for silicic magma generation in the crust form by fluid fluxing of the growing mantle wedge overlying the steepening dehydrating slab and from asthenospheric decompression. Variations in the mantle input, together with variations in crustal thickness, temperature, and composition, modulate the expression of the flareups. As a consequence of the high flux of mantle-derived magma into the thick crust, geotherms become elevated, and the brittle-ductile transition can rise to depths as shallow as 7 km. At this transition, diapirically rising magmas from a melting, assimilation, storage, and homogenization (MASH) zone are blocked and spread laterally into discoid chambers that grow until a thermomechanical threshold is attained, triggering climactic eruption and caldera collapse.
This ignimbrite flareup style of continental arc volcanism is exemplified by the mid-Cenozoic southern Great Basin ignimbrite province; other examples include the contemporaneous Southern Rocky Mountain, Mogollon-Datil, vast Sierra Madre Occidental volcanic fields, and the late Cenozoic Altiplano-Puna volcanic complex in the Central Andes. Rhyolitic and trachydacitic ignimbrites typically have erupted, but where the crust was predominantly felsic, prewarmed, and orogenically thickened, well-developed MASH zones have spawned multiple super-eruptions of phenocryst-rich dacite, or monotonous intermediates, and smaller volumes of calc-alkaline rhyolite ignimbrite. In the Great Basin, eruptions of dry, hot trachydacite magma followed the monotonous intermediates. Partial melting in thinner crust with a major mafic component yielded more alkalic rhyolite and related trachydacite.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01285.1","usgsCitation":"Best, M.G., Christiansen, E.H., de Silva, S., and Lipman, P.W., 2016, Slab-rollback ignimbrite flareups in the southern Great Basin and other Cenozoic American arcs: A distinct style of arc volcanism: Geosphere, v. 12, no. 4, p. 1097-1135, https://doi.org/10.1130/GES01285.1.","productDescription":"39 p.","startPage":"1097","endPage":"1135","ipdsId":"IP-099383","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01285.1","text":"Publisher Index Page"},{"id":356276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121,\n 36\n ],\n [\n -111,\n 36\n ],\n [\n -111,\n 42\n ],\n [\n -121,\n 42\n ],\n [\n -121,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-27","publicationStatus":"PW","scienceBaseUri":"5b6fca0fe4b0f5d57878ec8a","contributors":{"authors":[{"text":"Best, Myron G.","contributorId":206800,"corporation":false,"usgs":false,"family":"Best","given":"Myron","email":"","middleInitial":"G.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":741801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiansen, Eric H.","contributorId":206801,"corporation":false,"usgs":false,"family":"Christiansen","given":"Eric","email":"","middleInitial":"H.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":741802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Silva, Shanaka","contributorId":206802,"corporation":false,"usgs":false,"family":"de Silva","given":"Shanaka","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":741803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lipman, Peter W. 0000-0001-9175-6118","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":203612,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274498,"text":"70274498 - 2016 - The Aleutian-Bering Climate Vulnerability Assessment","interactions":[],"lastModifiedDate":"2026-03-27T16:32:59.31477","indexId":"70274498","displayToPublicDate":"2016-01-01T11:25:33","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":9141,"text":"Final Report","active":true,"publicationSubtype":{"id":2}},"title":"The Aleutian-Bering Climate Vulnerability Assessment","docAbstract":"Recent efforts to develop downscaled climate projections for the Bering Sea and Aleutians created an opportunity to better assess regional vulnerability to climate change. The Aleutian Bering
Climate Vulnerability Assessment (ABCVA) was launched in 2014 to bring together regional science expertise and stakeholder interests in a rapid evaluation of the implications of future climate projections. This effort followed an internationally accepted but flexible pathway to develop practical, priority research topics that address ecosystem and community vulnerabilities. The
ABCVA was completed as a partnership between the Aleutian and Bering Sea Islands Landscape Conservation Cooperative (ABSI LCC), the Alaska Climate Science Center and the Alaska Ocean Observing System (AOOS), and ultimately brought together three linked objectives:
1. identify and assess selected climate vulnerabilities of key resources and ecosystem services in the Aleutian Islands and Bering Sea region
2. broadly engage managers and stakeholders about the implications of climate vulnerabilities in the region
3. help ABSI LCC and the Alaska Climate Science Center and AOOS prioritize future research investments and focus
The ABCVA convened a group of 30 researchers with expertise ranging from anthropology to zooplankton to review climate projections and their implications for the Aleutians and Bering Sea.
These experts worked in five topic-based teams to assess vulnerabilities of species and ecosystem services relative. Each team identified initial vulnerabilities and made recommendations for further research that would help managers and communities better understand the implications of the changing climate in this region.
Untangling the causes of native species loss in human-modified systems is difficult and often controversial. Evaluating the impact of non-native species in these systems is particularly challenging, as additional human perturbations often precede or accompany introductions. One example is the ongoing debate over whether mammal declines within Everglades National Park (ENP) were caused by either the establishment of non-native Burmese pythons (Python molurus bivittatus) or the effects of other anthropogenic stressors. We examined the influence of both pythons and a host of alternative stressors—altered hydrology and habitat characteristics, mercury contamination and development—on the distribution of the marsh rabbit (Sylvilagus palustris), a once common mammal in ENP. Distance from the epicenter of the python invasion best explained marsh rabbit occurrence in suitable habitat patches, whereas none of the alternative stressors considered could explain marsh rabbit distribution. Estimates of the probability of marsh rabbit occurrence ranged from 0 at the python invasion epicenter to nearly 1.0 150 km from the invasion epicenter. These results support the hypothesis that invasive pythons shape the distribution of marsh rabbits in southern Florida. The loss of marsh rabbits and similar species will likely alter trophic interactions and ecosystem function within the Everglades, an internationally important hotspot of biodiversity. Further, our results suggest that non-native species can have profound impacts on mainland biodiversity.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1221-3","usgsCitation":"Sovie, A.R., McCleery, R.A., Fletcher, R.J., and Hart, K.M., 2016, Invasive pythons, not anthropogenic stressors, explain the distribution of a keystone species: Biological Invasions, v. 18, no. 11, p. 3309-3318, https://doi.org/10.1007/s10530-016-1221-3.","productDescription":"10 p.","startPage":"3309","endPage":"3318","ipdsId":"IP-065121","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":359512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.012939453125,\n 24.407137917727667\n ],\n [\n -79.991455078125,\n 24.407137917727667\n ],\n [\n -79.991455078125,\n 27.254629577800063\n ],\n [\n -82.012939453125,\n 27.254629577800063\n ],\n [\n -82.012939453125,\n 24.407137917727667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"11","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"5befe5bde4b045bfcadf7f4e","contributors":{"authors":[{"text":"Sovie, Adia R.","contributorId":197424,"corporation":false,"usgs":false,"family":"Sovie","given":"Adia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":751411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":751412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Robert J. 0000-0003-1717-5707","orcid":"https://orcid.org/0000-0003-1717-5707","contributorId":195795,"corporation":false,"usgs":false,"family":"Fletcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":751413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":751410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70164444,"text":"70164444 - 2016 - Along-strike variations in fault frictional properties along the San Andreas Fault near Cholame, California from joint earthquake and low-frequency earthquake relocations","interactions":[],"lastModifiedDate":"2017-01-03T15:56:54","indexId":"70164444","displayToPublicDate":"2016-01-01T11:15:00","publicationYear":"2016","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":"Along-strike variations in fault frictional properties along the San Andreas Fault near Cholame, California from joint earthquake and low-frequency earthquake relocations","docAbstract":"Recent observations of low‐frequency earthquakes (LFEs) and tectonic tremor along the Parkfield–Cholame segment of the San Andreas fault suggest slow‐slip earthquakes occur in a transition zone between the shallow fault, which accommodates slip by a combination of aseismic creep and earthquakes (<15 km depth), and the deep fault, which accommodates slip by stable sliding (>35 km depth). However, the spatial relationship between shallow earthquakes and LFEs remains unclear. Here, we present precise relocations of 34 earthquakes and 34 LFEs recorded during a temporary deployment of 13 broadband seismic stations from May 2010 to July 2011. We use the temporary array waveform data, along with data from permanent seismic stations and a new high‐resolution 3D velocity model, to illuminate the fine‐scale details of the seismicity distribution near Cholame and the relation to the distribution of LFEs. The depth of the boundary between earthquakes and LFE hypocenters changes along strike and roughly follows the 350°C isotherm, suggesting frictional behavior may be, in part, thermally controlled. We observe no overlap in the depth of earthquakes and LFEs, with an ∼5 km separation between the deepest earthquakes and shallowest LFEs. In addition, clustering in the relocated seismicity near the 2004 Mw 6.0 Parkfield earthquake hypocenter and near the northern boundary of the 1857 Mw 7.8 Fort Tejon rupture may highlight areas of frictional heterogeneities on the fault where earthquakes tend to nucleate.
","language":"English","publisher":"Seismological Society of Amercia","doi":"10.1785/0120150171","usgsCitation":"Harrington, R., Cochran, E.S., Griffiths, E.M., Zeng, X., and Thurber, C.H., 2016, Along-strike variations in fault frictional properties along the San Andreas Fault near Cholame, California from joint earthquake and low-frequency earthquake relocations: Bulletin of the Seismological Society of America, v. 106, no. 2, p. 319-326, https://doi.org/10.1785/0120150171.","productDescription":"8 p.","startPage":"319","endPage":"326","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066396","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":316595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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A distinguishing characteristic of this synthesis effort was that the target end-user was a management/\ndecision-maker audience. Specifically, the aim was to address the questions of the water managers and other decision leaders in a way that would illuminate and inform but not constrain or specify decisions. Since its inception, the SERES Project has been managed by the Everglades Foundation; however, a core group of scientifc experts from agencies, academic institutions, and the private sector have contributed to the project (see list on page 4). We\nbegan the project by interviewing key officials, including resource managers, decision-makers, and heads of agencies and environmental organizations. The objective of these interviews was to establish the Key Science Management Questions that needed to be addressed in order to advance restoration of the Everglades. The resulting questions led to the organization of project teams focused on Hydrology, Water Quality, Soils, Trophic Dynamics, and Landscape\nPattern. In order to establish the technical basis for the project, we conducted in depth reviews of the recent scientifc literature, evaluation tools and models, and available data in each of these core areas. Finally, we developed a suite of restoration options that would aid us in addressing the Key Questions and evaluated their relative performance from hydrological, ecological, and economic perspectives. General fndings of the SERES Project are described in subsequent sections, and technical reviews and results of analyses supporting this document are available in reports on the project website.","language":"English","publisher":"Everglades Foundation","usgsCitation":"Davis, S.E., Beerens, J.M., Borkhataria, R.R., Childers, D.L., Choi, J., Davis, S.M., Fitz, C., Gaiser, E., Henriquez, H., Lodge, T.E., Harvey, J., Marshall, F., McCormick, B., Naja, M., Osborne, T., Ross, M.S., Sah, J., Trexler, J.C., Van Lent, T., and Wetzel, P.R., 2016, Management-driven science synthesis: An evaluation of Everglades restoration trajectories, 60 p.","productDescription":"60 p.","ipdsId":"IP-071537","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":361381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361370,"type":{"id":15,"text":"Index Page"},"url":"https://www.evergladesfoundation.org/our-efforts/reports-papers/"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.8753662109375,\n 25.030861410390447\n ],\n [\n -79.98596191406249,\n 25.030861410390447\n ],\n [\n -79.98596191406249,\n 28.38173504322308\n ],\n [\n -82.8753662109375,\n 28.38173504322308\n ],\n [\n -82.8753662109375,\n 25.030861410390447\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Stephen E","contributorId":213386,"corporation":false,"usgs":false,"family":"Davis","given":"Stephen","email":"","middleInitial":"E","affiliations":[{"id":17761,"text":"Everglades Foundation","active":true,"usgs":false}],"preferred":false,"id":757631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":757630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borkhataria, Rena R.","contributorId":197425,"corporation":false,"usgs":false,"family":"Borkhataria","given":"Rena","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":757632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Childers, Daniel L.","contributorId":201937,"corporation":false,"usgs":false,"family":"Childers","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":757633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Jay","contributorId":213387,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":757634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Steven M","contributorId":213398,"corporation":false,"usgs":false,"family":"Davis","given":"Steven","email":"","middleInitial":"M","affiliations":[{"id":38747,"text":"Ibis Ecosystems Associates, Inc","active":true,"usgs":false}],"preferred":false,"id":757649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fitz, Carl","contributorId":213388,"corporation":false,"usgs":false,"family":"Fitz","given":"Carl","email":"","affiliations":[{"id":38744,"text":"EcoLandMod, Inc","active":true,"usgs":false}],"preferred":false,"id":757635,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaiser, Evelyn","contributorId":213389,"corporation":false,"usgs":false,"family":"Gaiser","given":"Evelyn","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":757636,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Henriquez, Hiram","contributorId":213390,"corporation":false,"usgs":false,"family":"Henriquez","given":"Hiram","email":"","affiliations":[{"id":38745,"text":"H2H Graphics","active":true,"usgs":false}],"preferred":false,"id":757637,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lodge, Thomas E.","contributorId":202430,"corporation":false,"usgs":false,"family":"Lodge","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":36433,"text":"Thomas E. 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","largerWorkTitle":"Reviews in Economic Geology","language":"English","publisher":"Society of Economic Geologists, Inc.","publisherLocation":"Littleton, CO","issn":"0741-0123 (Print)","usgsCitation":"Verplanck, P.L., and Hitzman, M.W., 2016, Introduction: Rare Earth and Critical Elements in Ore Deposits, chap. of Reviews in Economic Geology, v. 18, p. 1-4.","productDescription":"4 p.","startPage":"1","endPage":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070346","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":320013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320012,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.segweb.org/store/detail.aspx?id=REV18-COMBO"}],"volume":"18","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"570e1c32e4b0ef3b7ca24c30","contributors":{"editors":[{"text":"Verplanck, P. L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":106565,"corporation":false,"usgs":true,"family":"Verplanck","given":"P. L.","affiliations":[],"preferred":false,"id":626583,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hitzman, M.W.","contributorId":107906,"corporation":false,"usgs":true,"family":"Hitzman","given":"M.W.","affiliations":[],"preferred":false,"id":626584,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":626232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitzman, Murray W. 0000-0002-3876-0537 mhitzman@usgs.gov","orcid":"https://orcid.org/0000-0002-3876-0537","contributorId":168513,"corporation":false,"usgs":false,"family":"Hitzman","given":"Murray","email":"mhitzman@usgs.gov","middleInitial":"W.","affiliations":[{"id":25315,"text":"2Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":626233,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171441,"text":"70171441 - 2016 - Distributions of small nongame fishes in the lower Yellowstone River","interactions":[],"lastModifiedDate":"2016-06-01T14:35:47","indexId":"70171441","displayToPublicDate":"2016-01-01T03:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Distributions of small nongame fishes in the lower Yellowstone River","docAbstract":"The Yellowstone River is the longest unimpounded river in the conterminous United States. It has a relatively natural flow regime, which helps maintain diverse habitats and fish assemblages uncommon in large rivers elsewhere. The lower Yellowstone River was thought to support a diverse nongame fish assemblage including several species of special concern. However, comprehensive data on the small nongame fish assemblage of the lower Yellowstone River is lacking. Therefore, we sampled the Yellowstone River downstream of its confluence with the Clark’s Fork using fyke nets and otter trawls to assess distributions and abundances of small nongame fishes. We captured 42 species (24 native and 18 nonnative) in the lower Yellowstone River with fyke nets. Native species constituted over 99% of the catch. Emerald shiners Notropis atherinoides, western silvery minnows Hybognathus argyritis, flathead chubs Platygobio gracilis, sand shiners Notropis stramineus, and longnose dace Rhinichthys cataractae composed nearly 94% of fyke net catch and were caught in every segment of the study area. We captured 24 species by otter trawling downstream of the Tongue River. Sturgeon chubs Macrhybopsis gelida, channel catfish Ictalurus punctatus, flathead chubs, stonecats Noturus flavus, and sicklefin chubs Macrhybopsis meeki composed 89% of the otter trawl catch. The upstream distributional limit of sturgeon chubs in the Yellowstone River was the Tongue River; few sicklefin chubs were captured above Intake Diversion Dam. This study not only provides biologists with baseline data for future monitoring efforts on the Yellowstone River but serves as a benchmark for management and conservation efforts in large rivers elsewhere as the Yellowstone River represents one of the best references for a naturally functioning Great Plains river.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/amid-175-01-01-23.1","usgsCitation":"Duncan, M.B., Bramblett, R.G., and Zale, A.V., 2016, Distributions of small nongame fishes in the lower Yellowstone River: American Midland Naturalist, v. 175, no. 1, p. 1-23, https://doi.org/10.1674/amid-175-01-01-23.1.","productDescription":"23 p.","startPage":"1","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064449","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":322031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Billings, Sidney","otherGeospatial":"Bighorn River, Cartersville Diversion Dam, Clarks Fork River, Meyers Diversion Dam, Huntley Diversion Dam, Intake Diversion Dam, O'Fallon Creek, Powder River, Rancher Diversion Dam, Tongue River, Waco Diversion Dam, Yellowstone River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.86328125,\n 45.48324350868221\n ],\n [\n -109.86328125,\n 48.10743118848039\n ],\n [\n -103.985595703125,\n 48.10743118848039\n ],\n [\n -103.985595703125,\n 45.48324350868221\n ],\n [\n -109.86328125,\n 45.48324350868221\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"175","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57500754e4b0ee97d51bb538","contributors":{"authors":[{"text":"Duncan, Michael B.","contributorId":169856,"corporation":false,"usgs":false,"family":"Duncan","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":631284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":631285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":630993,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168717,"text":"70168717 - 2016 - Tamarisk beetle (Diorhabda spp.) in the Colorado River basin: Synthesis of an expert panel forum","interactions":[],"lastModifiedDate":"2016-04-12T13:29:50","indexId":"70168717","displayToPublicDate":"2016-01-01T01:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Tamarisk beetle (Diorhabda spp.) in the Colorado River basin: Synthesis of an expert panel forum","docAbstract":"In 2001, the U.S. Department of Agriculture approved the release of a biological control agent, the tamarisk beetle (Diorhabda spp.), to naturally control tamarisk populations and provide a less costly, and potentially more effective, means of removal compared with mechanical and chemical methods. The invasive plant tamarisk (Tamarix spp.; saltcedar) occupies hundreds of thousands of acres of river floodplains and terraces across the western half of the North American continent. Its abundance varies, but can include dense monocultures, and can alter some physical and ecological processes associated with riparian ecosystems.
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","language":"English","publisher":"Appalachian Trail Conservancy","usgsCitation":"Marion, J.L., 2016, The swing of it: Hammock camping: A.T. Journeys, v. 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Using environmental parameters diagnostic of squirrel habitat, we created 35 a priori occupancy models in the program PRESENCE for boxes surveyed in western North Carolina, 1996-2011. Our best approximating model showed CNFS denning associated with sheltered landforms and montane conifers, primarily red spruce Picea rubens. As sheltering decreased, decreasing distance to conifers was important. Area with a high probability (>0.5) of occupancy was distributed over 18662 ha of habitat, mostly across 10 mountain ranges. Because nest-box surveys underrepresented areas >1750 m and CNFS forage in conifers, we combined areas of high occupancy with conifer GIS coverages to create an additional distribution model of likely habitat. Regionally, above 1385 m, we determined that 31795 ha could be occupied by CNFS. Known occupied patches ranged from
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00662","usgsCitation":"Ford, W.M., Evans, A., Odom, R.H., Rodrigue, J.L., Kelly, C., Abaid, N., Diggins, C.A., and Newcomb, D., 2016, Predictive habitat models derived from nest-box occupancy for the endangered Carolina northern flying squirrel in the southern Appalachians: Endangered Species Research, v. 27, p. 131-140, https://doi.org/10.3354/esr00662.","productDescription":"10 p.","startPage":"131","endPage":"140","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059397","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471393,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00662","text":"Publisher Index Page"},{"id":323393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.7466335932305,\n 34.995648624137246\n ],\n [\n -78.94333487363758,\n 34.995648624137246\n ],\n [\n -78.94333487363758,\n 37.285370946434895\n ],\n [\n -84.7466335932305,\n 37.285370946434895\n ],\n [\n -84.7466335932305,\n 34.995648624137246\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9335e4b04f417c275176","contributors":{"authors":[{"text":"Ford, W. 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However, human land use, particularly long-term fire suppression, has altered the intensity and frequency of wildfire in forested upland and riparian areas. To examine the potential impacts of wildfire on aquatic systems, we developed stream-reach-scale models of freshwater habitat for three life stages (adult, egg/fry, and juvenile) of spring Chinook salmon (Oncorhynchus tshawytscha) in the Wenatchee River subbasin, Washington. We used variables representing pre- and post-fire habitat conditions and employed novel techniques to capture changes in in-stream fine sediment, wood, and water temperature. Watershed-scale comparisons of high-quality habitat for each life stage of spring Chinook salmon habitat suggested that there are smaller quantities of high-quality juvenile overwinter habitat as compared to habitat for other life stages. We found that wildfire has the potential to increase quality of adult and overwintering juvenile habitat through increased delivery of wood, while decreasing the quality of egg and fry habitat due to the introduction of fine sediments. Model results showed the largest effect of fire on habitat quality associated with the juvenile life stage, resulting in increases in high-quality habitat in all watersheds. Due to the limited availability of pre-fire high-quality juvenile habitat, and increased habitat quality for this life stage post-fire, occurrence of characteristic wildfires would likely create a positive effect on spring Chinook salmon habitat in the Wenatchee River subbasin. We also compared pre- and post-fire model results of freshwater habitat for each life stage, and for the geometric mean of habitat quality across all life stages, using current compared to the historic distribution of spring Chinook salmon. We found that spring Chinook salmon are currently distributed in stream channels in which in-stream habitat for most life stages has a consistently positive response to fire. This compares to the historic distribution of spring Chinook, in which in-stream habitat exhibited a variable response to fire, including decreases in habitat quality overall or for specific life stages. This suggests that as the distribution of spring Chinook has decreased, they now occupy those areas with the most positive potential response to fire. Our work shows the potentially positive link between wildfire and aquatic habitat that supports forest managers in setting broader goals for fire management, perhaps leading to less fire suppression in some situations.
\n\n
In reservoirs, seasonal drawdown can alter the physical environment and may influence predatory fish performance. We investigated the performance of lake trout (Salvelinus namaycush) in a western reservoir by coupling field measurements with visual foraging and bioenergetic models at four distinct states (early summer, mid-summer, late summer, and fall). The models suggested that lake trout prey, juvenile kokanee (Oncorhynchus nerka), are limited seasonally by suitable temperature and dissolved oxygen. Accordingly, prey densities were greatest in late summer when reservoir volume was lowest and fish were concentrated by stratification. Prey encounter rates (up to 68 fish·day−1) and predator consumption are also predicted to be greatest during late summer. However, our models suggested that turbidity negatively correlates with prey detection and consumption across reservoir states. Under the most turbid conditions, lake trout did not meet physiological demands; however, during less turbid periods, predator consumption reached maximum bioenergetic efficiency. Overall, our findings demonstrate that rapid reservoir fluctuations and associated abiotic conditions can influence predator–prey interactions, and our models describe the potential impacts of water level fluctuation on valuable sport fishes.
","language":"English","publisher":"NRC Press","doi":"10.1139/cjfas-2015-0008","usgsCitation":"Klobucar, S., and Budy, P., 2016, Consequences of seasonal variation in reservoir water level for predatory fishes: linking visual foraging and prey densities: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 1, p. 53-64, https://doi.org/10.1139/cjfas-2015-0008.","productDescription":"12 p.","startPage":"53","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058204","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a6534e4b07657d1a11d44","contributors":{"authors":[{"text":"Klobucar, Stephen L.","contributorId":172291,"corporation":false,"usgs":false,"family":"Klobucar","given":"Stephen L.","affiliations":[],"preferred":false,"id":640155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638095,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173935,"text":"70173935 - 2016 - The biogeography of threatened insular iguanas and opportunities for invasive vertebrate management","interactions":[],"lastModifiedDate":"2016-06-28T14:36:23","indexId":"70173935","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The biogeography of threatened insular iguanas and opportunities for invasive vertebrate management","docAbstract":"Iguanas are a particularly threatened group of reptiles, with 61% of species at risk of extinction. Primary threats to iguanas include habitat loss, direct and indirect impacts by invasive vertebrates, overexploitation, and human disturbance. As conspicuous, charismatic vertebrates, iguanas also represent excellent flagships for biodiversity conservation. To assist planning for invasive vertebrate management and thus benefit threatened iguana recovery, we identified all islands with known extant or extirpated populations of Critically Endangered and Endangered insular iguana taxa as recognized by the International Union for Conservation of Nature (IUCN) Red List of Threatened Species. For each island, we determined total area, sovereignty, the presence of invasive alien vertebrates, and human population. For the 23 taxa of threatened insular iguanas we identified 230 populations, of which iguanas were extant on 185 islands and extirpated from 45 islands. Twenty-one iguana taxa (91% of all threatened insular iguana taxa) occurred on at least one island with invasive vertebrates present; 16 taxa had 100% of their population(s) on islands with invasive vertebrates present. Rodents, cats, ungulates, and dogs were the most common invasive vertebrates. We discuss biosecurity, eradication, and control of invasive vertebrates to benefit iguana recovery: (1) on islands already free of invasive vertebrates; (2) on islands with high iguana endemicity; and (3) for species and subspecies with small total populations occurring across multiple small islands. Our analyses provide an important first step toward understanding how invasive vertebrate management can be planned effectively to benefit threatened insular iguanas.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Iguanas: Biology, Systematics, and Conservation: Herpetological Conservation and Biology 11(Monograph 6)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Tershy, B.R., Newton, K.M., Spatz, D.R., Swinnerton, K., Iverson, J.B., Fisher, R.N., Harlow, P.S., Holmes, N.D., and Croll, D.A., 2016, The biogeography of threatened insular iguanas and opportunities for invasive vertebrate management, chap. of Iguanas: Biology, Systematics, and Conservation: Herpetological Conservation and Biology 11(Monograph 6), v. 11, no. 6, p. 222-236.","productDescription":"15 p.","startPage":"222","endPage":"236","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061457","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":324528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323888,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol11_Monograph6.html"}],"volume":"11","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb8e4b07657d1a90d8d","contributors":{"editors":[{"text":"Iverson, J. 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A portion of the oil interacted with river sediment and submerged requiring the development and implementation of new approaches for detection and recovery of oil mixed with river sediment. Hydrodynamic and sediment transport modeling became an integral part of containment and recovery operations for decision support about the potential fate and migration of submerged oil and oiled sediment. Three models were developed for the U.S. Environmental Protection Agency to cover a range of spatial scales of interest to onsite operations. Two-dimensional (2D) hydrodynamic and sediment transport models from the Environmental Fluid Dynamics Code and the sediment bed model SEDZLJ1 were used to simulate potential resuspension, migration, and deposition of submerged oil and oiled sediment along a 38-mile reach of the Kalamazoo River affected by the oil from Marshall to Kalamazoo. An algorithm was added to SEDZLJ to represent three additional particle size classes of oilparticle aggregates (OPAs) with a range of sizes, specific gravities, and settling velocities. Field and laboratory experiments and flume tests were done to support the numerical modeling of OPAs. A three-dimensional hydrodynamic model was developed to simulate hydrodynamics and OPA tracking through Morrow Lake, the most downstream impoundment. This model incorporated wind and dam operations into high and low flow, lake drawdown, and containment simulations. Finally, a 2D unstructured grid model, HydroSed2D, was used to simulate flows and sediment transport along 1- to 2-mile segments of the Kalamazoo River around islands and through side channels and backwater areas that are particularly prone to submerged oil deposition.
Integrated models could be developed quickly due to the availability of information and services combined with spill response operations that included: bathymetry and topography data, fieldbased geomorphic mapping of submerged oil, and discharge measured at U.S. Geological Survey streamflow gauges. Modeling results were included in a multiple-lines-of-evidence approach that was used by the Federal On-Scene Coordinator and operations staff for decision-making related to assessment and recovery of submerged oil, as well as net environmental benefit analysis. Similar modeling approaches will likely be useful for future oil spills in riverine environments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the joint federal interagency conference 2015","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2015","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Subcommittees on Hydrology (SOH) and Sedimentation (SOS) under the Advisory Committee on Water Information (ACWI)","usgsCitation":"Fitzpatrick, F.A., Johnson, R., Zhu, Z., Waterman, D., McCulloch, R.D., Hayter, E., Garcia, M., Boufadel, M., Dekker, T., Hassan, J.S., Soong, D., Hoard, C.J., and Lee, K., 2016, Integrated modeling approach for fate and transport of submerged oil and oil-particle aggregates in a freshwater riverine environment, in Proceedings of the joint federal interagency conference 2015, Reno, NV, April 19-23, 2015, p. 1783-1794.","productDescription":"12 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2016 - LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models","interactions":[],"lastModifiedDate":"2018-01-24T16:05:13","indexId":"70194448","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models","docAbstract":"Metabolism is a fundamental process in ecosystems that crosses multiple scales of organization from individual organisms to whole ecosystems. To improve sharing and reuse of published metabolism models, we developed LakeMetabolizer, an R package for estimating lake metabolism from in situ time series of dissolved oxygen, water temperature, and, optionally, additional environmental variables. LakeMetabolizer implements 5 different metabolism models with diverse statistical underpinnings: bookkeeping, ordinary least squares, maximum likelihood, Kalman filter, and Bayesian. Each of these 5 metabolism models can be combined with 1 of 7 models for computing the coefficient of gas exchange across the air–water interface (k). LakeMetabolizer also features a variety of supporting functions that compute conversions and implement calculations commonly applied to raw data prior to estimating metabolism (e.g., oxygen saturation and optical conversion models). These tools have been organized into an R package that contains example data, example use-cases, and function documentation. The release package version is available on the Comprehensive R Archive Network (CRAN), and the full open-source GPL-licensed code is freely available for examination and extension online. With this unified, open-source, and freely available package, we hope to improve access and facilitate the application of metabolism in studies and management of lentic ecosystems.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/IW-6.4.883","usgsCitation":"Winslow, L., Zwart, J., Batt, R., Dugan, H., Woolway, R., Corman, J., Hanson, P.C., and Read, J.S., 2016, LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models: Inland Waters, v. 6, no. 4, p. 622-636, https://doi.org/10.1080/IW-6.4.883.","productDescription":"15 p.","startPage":"622","endPage":"636","ipdsId":"IP-065534","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":349534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5a60fd87e4b06e28e9c24fa5","contributors":{"authors":[{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":723877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zwart, Jacob A.","contributorId":173345,"corporation":false,"usgs":false,"family":"Zwart","given":"Jacob A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":723878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batt, Ryan D.","contributorId":168948,"corporation":false,"usgs":false,"family":"Batt","given":"Ryan D.","affiliations":[{"id":25393,"text":"Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA 08901","active":true,"usgs":false}],"preferred":false,"id":723879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugan, Hilary A.","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","middleInitial":"A.","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":723880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woolway, R. Iestyn","contributorId":150345,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":723881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corman, Jessica","contributorId":194469,"corporation":false,"usgs":false,"family":"Corman","given":"Jessica","affiliations":[],"preferred":false,"id":723882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":723883,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":723884,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}