Volcanoes at subduction zones reside above complex magma plumbing systems, where individual magmatic components may originate and interact at a range of pressures. Because whole-rock compositions of subduction zone magmas are the integrated result of processes operating throughout the entire plumbing system, processes such as mixing, homogenisation and magma assembly during shallow storage can overprint the chemical signatures of deeper crustal processes. Whereas melt inclusions provide an effective way to study the uppermost 10–15 km of the plumbing system, challenges remain in understanding magma intrusion, fractionation and hybridisation processes in the middle to lower crust (15–30 km depth), which commonly involves amphibole crystallisation. Here, we present new insights into the mid-crustal plumbing system at Mount St. Helens, USA, using multiple regression methods to calculate trace element partition coefficients for amphibole phenocrysts, and thus infer the trace element compositions of their equilibrium melts. The results indicate vertically distributed crystal fractionation, dominated by amphibole at higher pressures and in intermediate melts, and by plagioclase at lower pressures. Variations in Nb, Zr and REE concentrations at intermediate SiO2 contents suggest repeated scavenging of partially remelted intrusive material in the mid-crust, and mixing with material from geochemically diverse sources. Amphibole is an effective probe for deep crustal magmatism worldwide, and this approach offers a new tool to explore the structure and chemistry of arc magmas, including those forming plutonic or cumulate materials that offer no other constraints on melt composition.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-018-1543-5","usgsCitation":"Humphreys, M.C., Cooper, G.F., Zhang, J., Loewen, M.W., Kent, A.J., Macpherson, C.G., and Davidson, J.P., 2019, Unravelling the complexity of magma plumbing at Mount St. Helens: A new trace element partitioning scheme for amphibole: Contributions to Mineralogy and Petrology, v. 174, p. 1-15, https://doi.org/10.1007/s00410-018-1543-5.","productDescription":"Article 9; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-094683","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467894,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1308434","text":"External Repository"},{"id":361333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphreys, Madeleine C. S.","contributorId":213322,"corporation":false,"usgs":false,"family":"Humphreys","given":"Madeleine","email":"","middleInitial":"C. S.","affiliations":[{"id":37954,"text":"University of Durham","active":true,"usgs":false}],"preferred":false,"id":757454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, George F.","contributorId":213323,"corporation":false,"usgs":false,"family":"Cooper","given":"George","email":"","middleInitial":"F.","affiliations":[{"id":37954,"text":"University of Durham","active":true,"usgs":false}],"preferred":false,"id":757455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Jing","contributorId":213324,"corporation":false,"usgs":false,"family":"Zhang","given":"Jing","email":"","affiliations":[{"id":38738,"text":"University of Durham and Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":757456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":757453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Adam J. R.","contributorId":213325,"corporation":false,"usgs":false,"family":"Kent","given":"Adam","email":"","middleInitial":"J. R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":757457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Macpherson, Colin G.","contributorId":213326,"corporation":false,"usgs":false,"family":"Macpherson","given":"Colin","email":"","middleInitial":"G.","affiliations":[{"id":37954,"text":"University of Durham","active":true,"usgs":false}],"preferred":false,"id":757458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davidson, Jon P.","contributorId":213327,"corporation":false,"usgs":false,"family":"Davidson","given":"Jon","email":"","middleInitial":"P.","affiliations":[{"id":37954,"text":"University of Durham","active":true,"usgs":false}],"preferred":false,"id":757459,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205978,"text":"70205978 - 2019 - Assemblage structure, vertical distributions and stable‐isotope compositions of anguilliform leptocephali in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2019-10-14T11:28:02","indexId":"70205978","displayToPublicDate":"2019-02-19T11:07:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Assemblage structure, vertical distributions and stable‐isotope compositions of anguilliform leptocephali in the Gulf of Mexico","docAbstract":"In August 2007, October 2008 and September–October 2010, 241 Tucker trawl and plankton net tows were conducted at the surface to depths of 1377 m at six locations in the northern and eastern Gulf of Mexico (GOM) to document leptocephalus diversity and determine how assemblage structure, larval size, abundance and isotopic signatures differ across the region and with depth. Overall, 2696 leptocephali representing 59 distinct taxa from 10 families were collected. Five families accounted for 96% of the total catch with Congridae and Ophichthidae being the most abundant. The top four most abundant species composed 59% of the total catch and included: Ariosoma balearicum, Paraconger caudilimbatus, Rhynchoconger flavus and Ophichthus gomesii. Four anguilliform species not previously documented in the GOM as adults or leptocephali were collected in this study, including Monopenchelys acuta, Quassiremus ascensionis, Saurenchelys stylura and one leptocephalus only known from its larval stage, Leptocephalus proboscideus. Leptocephalus catches were significantly greater at night than during the day. Catches at night were concentrated in the upper 200 m of the water column and significantly declined with increasing depth. Leptocephali abundances and assemblages were significantly different between sites on the upper continental slope (c. 500 m depth) and sites on the middle to lower continental slope (c. 1500–2300 m). Sites on the lower continental slope had a mixture of deep‐sea demersal, bathypelagic and coastal species, whereas upper‐slope sites contained several numerically dominant species (e.g., A. balearicum, P. caudilimbatus) that probably spawn over the continental shelf and upper slope of the GOM. Standard lengths of the four dominant species differed between sites and years, indicating heterochronic reproduction and potential larval source pools within and outside of the GOM. Stable‐isotope analyses (δ13C and δ15N) conducted on 185 specimens from six families revealed that leptocephali had a wide range of isotopic values at the family and size‐class levels. Species in the families Muraenidae, Congridae and Ophichthidae had similar δ15N values compared with the broad range of δ15N values seen in the deep‐sea families Nemichthyidae, Nettastomatidae and Synaphobranchidae. Stable‐isotope values were variably related to length, with δ15N values being positively size correlated in ophichthids and δ13C values being negatively size correlated in A. balearicum and P. caudilimbatus. Results suggest that leptocephali feed in various water depths and masses, and on different components of POM, which could lead to niche partitioning. Ecological aspects of these important members of the plankton community provide insight into larval connectivity in the GOM as well as the early life history of Anguilliformes.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13933","usgsCitation":"Quattrini, A., McClain Counts, J., Artabane, S.J., Roa-Varon, A., McIver, T.C., Michael Rhode, and Ross, S., 2019, Assemblage structure, vertical distributions and stable‐isotope compositions of anguilliform leptocephali in the Gulf of Mexico: Journal of Fish Biology, v. 94, no. 4, p. 621-647, https://doi.org/10.1111/jfb.13933.","productDescription":"27 p.","startPage":"621","endPage":"647","ipdsId":"IP-097672","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":368303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.71240234375,\n 25.799891182088334\n ],\n [\n -83.1005859375,\n 25.799891182088334\n ],\n [\n -83.1005859375,\n 30.4297295750316\n ],\n [\n -97.71240234375,\n 30.4297295750316\n ],\n [\n -97.71240234375,\n 25.799891182088334\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"94","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Quattrini, Andrea M. 0000-0002-4247-3055","orcid":"https://orcid.org/0000-0002-4247-3055","contributorId":62339,"corporation":false,"usgs":false,"family":"Quattrini","given":"Andrea M.","affiliations":[],"preferred":false,"id":773146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClain Counts, Jennifer 0000-0002-3383-5472","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":215718,"corporation":false,"usgs":true,"family":"McClain Counts","given":"Jennifer","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":773147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Artabane, Stephen J.","contributorId":219772,"corporation":false,"usgs":false,"family":"Artabane","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":773148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roa-Varon, Adela","contributorId":189930,"corporation":false,"usgs":false,"family":"Roa-Varon","given":"Adela","affiliations":[],"preferred":false,"id":773149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIver, Tara C.","contributorId":219773,"corporation":false,"usgs":false,"family":"McIver","given":"Tara","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":773150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michael Rhode","contributorId":195732,"corporation":false,"usgs":false,"family":"Michael Rhode","affiliations":[],"preferred":false,"id":773151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":773152,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205813,"text":"70205813 - 2019 - The effects of topographic surveying technique and data resolution on the detection and interpretation of geomorphic change","interactions":[],"lastModifiedDate":"2019-10-04T10:30:15","indexId":"70205813","displayToPublicDate":"2019-02-19T10:21:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"The effects of topographic surveying technique and data resolution on the detection and interpretation of geomorphic change","docAbstract":"Change detection of high resolution topographic data is commonly used in river valleys to quantify reach- and site-scale sediment budgets by estimating the erosion/deposition volume, and to interpret the geomorphic processes driving erosion and deposition. Field survey data are typically collected as point clouds that are often converted to gridded raster datasets and the ultimate choice of grid resolution is left to the user. This choice may have important implications for both the quantification and interpretation of geomorphic change. Here we used concurrent topographic data collected by terrestrial laser scanning (TLS) and structure-from-motion (SfM) photogrammetry to quantify the influence of grid resolution and sampling technique on (a) the sediment budget and (b) the presence and role of geomorphic processes (i.e., alluvial, colluvial, aeolian, and fluvial transport) driving topographic change at four sites along the Colorado River in Grand Canyon, Arizona, USA. We found that while both techniques produced similar estimates for site-scale sediment budgets, the magnitude of detected topographic change was dampened at coarser pixel resolutions. An overall decrease in the areal extent of erosion and deposition were observed, respectively, when coarsening pixel size from 5 cm to 1 m among all sites. Coarser resolution data tended to affect interpretation of landscape change along the margins of river valleys. For example, when changing from 5 cm to 1 m pixel resolution, the inferred contribution of aeolian changes to total site-scale geomorphic change increased in area by 7.9%, whereas the inferred contribution of alluvial and colluvial processes decreased in area by 97.9% and 88.2%, respectively. More generally, we found that coarsening pixel sizes disproportionately attributed geomorphic change to one or more of the most common processes operating at a site. We also found that coarsening pixel resolution amplified the net sediment imbalance at the site scale, driving the imbalance at erosional sites further into erosion and vice versa for depositional sites. Our results have implications both for point cloud data collection and for raster dataset processing. We argue that selecting the finest obtainable resolution is not always warranted to accurately quantify and interpret geomorphic change, because remote sensing technique, topographic data resolution, and analysis procedure can be optimized to capture the spatial scale of those processes driving landscape change. However, in landscapes at or near sediment equilibrium (i.e., equal amounts of erosion and deposition), the finest obtainable topographic data resolution is warranted to avoid amplifying sediment imbalance and erroneously inferring that sites are trending toward erosion or deposition.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2019.02.020","usgsCitation":"Kasprak, A., Bransky, N., Sankey, J.B., Caster, J., and Sankey, T.T., 2019, The effects of topographic surveying technique and data resolution on the detection and interpretation of geomorphic change: Geomorphology, v. 333, p. 1-15, https://doi.org/10.1016/j.geomorph.2019.02.020.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-102800","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2019.02.020","text":"Publisher Index Page"},{"id":368004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.6865234375,\n 35.70414710206052\n ],\n [\n -111.4178466796875,\n 35.70414710206052\n ],\n [\n -111.4178466796875,\n 36.97842095659727\n ],\n [\n -113.6865234375,\n 36.97842095659727\n ],\n [\n -113.6865234375,\n 35.70414710206052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"333","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kasprak, Alan 0000-0001-8184-6128 akasprak@usgs.gov","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":190848,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","email":"akasprak@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":772462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bransky, Nathaniel D.","contributorId":219526,"corporation":false,"usgs":false,"family":"Bransky","given":"Nathaniel D.","affiliations":[],"preferred":false,"id":772463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":772464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":772465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sankey, Temulen T.","contributorId":214481,"corporation":false,"usgs":false,"family":"Sankey","given":"Temulen","email":"","middleInitial":"T.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":772466,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203010,"text":"70203010 - 2019 - The mighty Susquehanna—extreme floods in Eastern North America during the past two millennia","interactions":[],"lastModifiedDate":"2019-06-18T11:25:00","indexId":"70203010","displayToPublicDate":"2019-02-19T08:52:51","publicationYear":"2019","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":"The mighty Susquehanna—extreme floods in Eastern North America during the past two millennia","docAbstract":"The hazards posed by infrequent major floods to communities along the Susquehanna River and the ecological health of Chesapeake Bay remain largely unconstrained due to the short length of streamgage records. Here we develop a history of high‐flow events on the Susquehanna River during the late Holocene from flood deposits contained in MD99‐2209, a sediment core recovered in 26 m of water from Chesapeake Bay near Annapolis, Maryland, United States. We identify coarse‐grained deposits left by Hurricane Agnes (1972) and the Great Flood of 1936, as well as during three intervals that predate instrumental flood records (~1800–1500, 1300–1100, and 400–0 CE). Comparison to sedimentary proxy data (pollen and ostracode Mg/Ca ratios) from the same core site indicates that prehistoric flooding on the Susquehanna often accompanied cooler‐than‐usual winter/spring temperatures near Chesapeake Bay—typical of negative phases of the North Atlantic Oscillation and conditions thought to foster hurricane landfalls along the East Coast.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL080890","usgsCitation":"Toomey, M., Cantwell, M., Colman, S., Cronin, T.M., Donnelly, J.P., Giosan, L., Heil, C., Korty, R.L., Marot, M.E., and Willard, D.A., 2019, The mighty Susquehanna—extreme floods in Eastern North America during the past two millennia: Geophysical Research Letters, v. 46, no. 6, p. 3398-3407, https://doi.org/10.1029/2018GL080890.","productDescription":"10 p.","startPage":"3398","endPage":"3407","ipdsId":"IP-104701","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":467896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl080890","text":"Publisher Index Page"},{"id":362903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Chesapeake Bay, Susquehanna River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.398681640625,\n 36.78289206199065\n ],\n [\n -75.443115234375,\n 36.78289206199065\n ],\n [\n -75.443115234375,\n 39.816975090490004\n ],\n [\n -77.398681640625,\n 39.816975090490004\n ],\n [\n -77.398681640625,\n 36.78289206199065\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience 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tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@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":760771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donnelly, Jeffrey P.","contributorId":192783,"corporation":false,"usgs":false,"family":"Donnelly","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":760772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giosan, 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mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":760776,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":760777,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70227965,"text":"70227965 - 2019 - Effects of individual misidentification on estimates of survival in long-term mark–resight studies","interactions":[],"lastModifiedDate":"2022-02-03T14:19:28.795415","indexId":"70227965","displayToPublicDate":"2019-02-19T08:12:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Effects of individual misidentification on estimates of survival in long-term mark–resight studies","docAbstract":"All ecological measurements are subject to error; the effects of missed detection (false negatives) are well known, but the effects of mistaken detection (false positives) are less understood. Long-term capture–recapture datasets provide valuable ecological insights and baselines for conservation and management, but where such studies rely on noninvasive re-encounters, such as field-readable color bands, there is the potential to accumulate detection errors as the length of the study and number of tags deployed increases. We investigated the prevalence and effects of misreads in a 10-yr dataset of Red Knots (Calidris canutus rufa) marked with field-readable leg flags in Delaware, USA. We quantified the effects of misreads on survival estimation via a simulation study and evaluated whether removal of individuals only reported once in a year (potential misreads) influenced survival estimation from both simulated datasets and our case study data. We found overall apparent error rates of 0.31% (minimum) to 6.6% (maximum). Observer-specific error rates and the variation among observers both decreased with the number of flags an observer recorded. Our simulation study showed that misreads lead to spurious negative trends in survival over time, particularly for long-term studies. Removing all records in which a flag was only recorded once in a sampling occasion reduced bias and eliminated spurious negative trends in survival but also reduced precision in survival estimates. Without data filtering, we found a slight decrease in Red Knot annual survival probability from 2008 to 2018 (β = −0.043 ± 0.03), but removing all single-observation records resulted in no apparent trend (β = −0.0074 ± 0.02). Spurious trends in demographic rates could influence inference about population trajectories and resultant conservation decision-making. Data filtering could eliminate errors, but researchers should carefully consider the tradeoff between precision obtained by larger sample sizes and potential bias due to misreads in their data.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duy017","usgsCitation":"Tucker, A.M., McGowan, C.P., Robinson, R.A., Clark, J.A., Lyons, J.E., Derose-Wilson, A., Du Feu, R., Austin, G.E., Atkinson, P.W., and Clark, N.A., 2019, Effects of individual misidentification on estimates of survival in long-term mark–resight studies: Condor, v. 121, no. 1, duy017, 13 p., https://doi.org/10.1093/condor/duy017.","productDescription":"duy017, 13 p.","ipdsId":"IP-095982","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4705810546875,\n 39.71986348549764\n ],\n [\n -75.6243896484375,\n 39.63530729658601\n ],\n [\n -75.574951171875,\n 39.2492708462234\n ],\n [\n -75.322265625,\n 38.79690830348427\n ],\n [\n -75.12451171875,\n 38.453588708941375\n ],\n [\n -74.970703125,\n 38.42347008084991\n ],\n [\n -75.0531005859375,\n 38.80118939192329\n ],\n [\n -75.135498046875,\n 39.13006024213511\n ],\n [\n -75.4925537109375,\n 39.42346418978382\n ],\n [\n -75.5474853515625,\n 39.50827899034114\n ],\n [\n -75.55847167968749,\n 39.63530729658601\n ],\n [\n -75.4705810546875,\n 39.71986348549764\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Tucker, A. 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A.","contributorId":274229,"corporation":false,"usgs":false,"family":"Clark","given":"N.","email":"","middleInitial":"A.","affiliations":[{"id":38864,"text":"British Trust for Ornithology","active":true,"usgs":false}],"preferred":false,"id":832823,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70204432,"text":"70204432 - 2019 - Impact of prey occupancy and other ecological and anthropogenic factors on Tiger distribution in Thailand’s Western Forest Complex","interactions":[],"lastModifiedDate":"2019-07-23T15:18:08","indexId":"70204432","displayToPublicDate":"2019-02-18T15:17:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Impact of prey occupancy and other ecological and anthropogenic factors on Tiger distribution in Thailand’s Western Forest Complex","docAbstract":"Despite conservation efforts, large mammals such as tigers (Panthera tigris) and their main prey, gaur (Bos gaurus), banteng (Bos javanicus), and sambar (Rusa unicolor), are highly threatened and declining across their entire range. The only large viable source population of tigers in mainland Southeast Asia occurs in Thailand's Western Forest Complex (WEFCOM), an approximately 19,000 km 2 landscape of 17 contiguous protected areas. We used an occupancy modeling framework, which accounts for imperfect detection, to identify the factors that affect tiger distribution at the approximate scale of a female tiger's home range, 64 km 2 , and site use at a scale of 1-km 2 . At the larger scale, we estimated the proportion of sites at WEFCOM that were occupied by tigers; at the finer scale, we identified the key variables that influence site-use and developed a predictive distribution map. At both scales, we examined key anthropogenic and ecological factors that help explain tiger distribution and habitat use, including probabilities of gaur, banteng, and sambar occurrence from a companion study. Occupancy estimated at the 64-km 2 scale was primarily influenced by the combined presence of all three large prey species, and 37% or 5,858 km 2 of the landscape was predicted to be occupied by tigers. In contrast, site use estimated at the scale of 1 km 2 was most strongly influenced by the presence of sambar. By modeling occupancy while accounting for imperfect probability of detection, we established reliable benchmark data on the distribution of tigers in WEFCOM. This study also identified factors that limit tiger distributions; which managers can then target to expand tiger distribution and guide recovery elsewhere in Southeast Asia.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4845","usgsCitation":"Duangchatrasiri, S., Jornburom, P., Jinamoy, S., Pattanvibool, A., Hines, J.E., Arnold, T.W., Fieberg, J., and Smith, J.L., 2019, Impact of prey occupancy and other ecological and anthropogenic factors on Tiger distribution in Thailand’s Western Forest Complex: Ecology and Evolution, v. 9, no. 5, p. 2449-2458, https://doi.org/10.1002/ece3.4845.","productDescription":"10 p.","startPage":"2449","endPage":"2458","ipdsId":"IP-098845","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4845","text":"Publisher Index 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PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Duangchatrasiri, Somphot","contributorId":217487,"corporation":false,"usgs":false,"family":"Duangchatrasiri","given":"Somphot","email":"","affiliations":[{"id":39649,"text":"Wildlife Research Division, Department of National Parks, Thailand","active":true,"usgs":false}],"preferred":false,"id":766888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jornburom, Pornkamol","contributorId":217488,"corporation":false,"usgs":false,"family":"Jornburom","given":"Pornkamol","email":"","affiliations":[{"id":39650,"text":"Univ. of MN, WCS Thailand","active":true,"usgs":false}],"preferred":false,"id":766889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jinamoy, Sitthichai","contributorId":217489,"corporation":false,"usgs":false,"family":"Jinamoy","given":"Sitthichai","email":"","affiliations":[{"id":39651,"text":"WCS, 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W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":766892,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fieberg, John","contributorId":44804,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","affiliations":[{"id":7201,"text":"University of Minnesota-St. Paul","active":true,"usgs":false}],"preferred":false,"id":766893,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, James L D","contributorId":217491,"corporation":false,"usgs":false,"family":"Smith","given":"James","email":"","middleInitial":"L D","affiliations":[{"id":39652,"text":"Univ. of MN","active":true,"usgs":false}],"preferred":false,"id":766894,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227938,"text":"70227938 - 2019 - Tributaries as biodiversity preserves: An ichthyoplankton perspective from the severely impounded Upper Paraná River","interactions":[],"lastModifiedDate":"2022-02-10T21:51:05.305218","indexId":"70227938","displayToPublicDate":"2019-02-18T10:49:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Tributaries as biodiversity preserves: An ichthyoplankton perspective from the severely impounded Upper Paraná River","docAbstract":"Aquatic features critical to watershed hydrology range widely in size from narrow, shallow streams to large, deep lakes. In this study we evaluated wetland, lake, and river systems across the Prairie Pothole Region to explore where pan-sharpened high-resolution (PSHR) imagery, relative to Landsat imagery, could provide additional data on surface water distribution and movement, missed by Landsat. We used the monthly Global Surface Water (GSW) Landsat product as well as surface water derived from Landsat imagery using a matched filtering algorithm (MF Landsat) to help consider how including partially inundated Landsat pixels as water influenced our findings. The PSHR outputs (and MF Landsat) were able to identify ~60–90% more surface water interactions between waterbodies, relative to the GSW Landsat product. However, regardless of Landsat source, by documenting many smaller (<0.2 ha), inundated wetlands, the PSHR outputs modified our interpretation of wetland size distribution across the Prairie Pothole Region.
The General Lake Model (GLM) is a one-dimensional open-source code designed to simulate the hydrodynamics of lakes, reservoirs, and wetlands. GLM was developed to support the science needs of the Global Lake Ecological Observatory Network (GLEON), a network of researchers using sensors to understand lake functioning and address questions about how lakes around the world respond to climate and land use change. The scale and diversity of lake types, locations, and sizes, and the expanding observational datasets created the need for a robust community model of lake dynamics with sufficient flexibility to accommodate a range of scientific and management questions relevant to the GLEON community. This paper summarizes the scientific basis and numerical implementation of the model algorithms, including details of sub-models that simulate surface heat exchange and ice cover dynamics, vertical mixing, and inflow–outflow dynamics. We demonstrate the suitability of the model for different lake types that vary substantially in their morphology, hydrology, and climatic conditions. GLM supports a dynamic coupling with biogeochemical and ecological modelling libraries for integrated simulations of water quality and ecosystem health, and options for integration with other environmental models are outlined. Finally, we discuss utilities for the analysis of model outputs and uncertainty assessments, model operation within a distributed cloud-computing environment, and as a tool to support the learning of network participants.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmd-12-473-2019","usgsCitation":"Hipsey, M.R., Bruce, L.C., Boon, C., Busch, B., Carey, C.C., Hamilton, D., Hanson, P.C., Read, J.S., de Sousa, E., Weber, M., and Winslow, L., 2019, A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON): Geoscientific Model Development, v. 12, p. 473-523, https://doi.org/10.5194/gmd-12-473-2019.","productDescription":"51 p.","startPage":"473","endPage":"523","ipdsId":"IP-091920","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":467899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-12-473-2019","text":"Publisher Index 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C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":757427,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamilton, David P.","contributorId":166840,"corporation":false,"usgs":false,"family":"Hamilton","given":"David P.","affiliations":[{"id":24543,"text":"Environmental Research Institute, University of Waikato, Private Bag 3015, Hamilton 3240, New Zealand.","active":true,"usgs":false}],"preferred":false,"id":757428,"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":757429,"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":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757422,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"de Sousa, Eduardo","contributorId":213317,"corporation":false,"usgs":false,"family":"de Sousa","given":"Eduardo","email":"","affiliations":[{"id":38735,"text":"UWA School of Agriculture & Environment, The University of Western 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Nutrient loading estimates to large lakes are primarily made at stream gages that are deliberately placed outside the direct influence of lake processes, but these estimates cannot take into account processes that occur in the biologically active river-to-lake transition zone. These transition zones (rivermouths) sometimes alter nutrient concentrations and ratios substantially, but few studies have directly measured processing rates of nutrients within rivermouths. From April through September 2016, we conducted 23 water column incubation experiments to measure nutrient loss rates in four rivermouths. First order loss rates (K) for inorganic nitrogen (N) and phosphorus (P) indicated greater loss in light than in dark treatments, suggesting primary production increases N and P removal. Variability in K was high across both time and space, and the measured environmental parameters did not appear to be strongly associated with this variation in K for most N and P forms. If the measured Kvalues and water residence times are accurate, then between 0 and 99% of the inorganic P and nitrates entering the rivermouth would be lost (i.e., converted to organic or particulate P). In late summer, Fox River discharge is low and residence times are usually long, which allow for much higher proportional nutrient removal in the water column. Water column processing appears to be capable of transforming large quantities of dissolved N and P to particulate forms and thus altering its transport and presumably its bioavailability.
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This is especially true when the research involves free-ranging animals. We recently conducted a preliminary field study that involved placing a beehive in a tent and individually releasing marked honey bees (Apis mellifera) outdoors to study their ability to locate sugar water rewards by following olfactory cues. 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Our study focussed on the assessment of SOC pools associated with alluvial floodplain soils that are affected by human-induced changes in floodplain deposition and in situ SOC mineralisation due to land use change and drainage. We evaluated depth-dependent SOC contents based on 23 soil cores down to 3 m and 10 drillings down to 7 m in a floodplain area of the lower Cosumnes River. An estimate of 266 Mg C ha−1 or about 59% of the entire SOC stored within the 7 m profiles was found in the upper 2 m. Most profiles (n = 25) contained discrete buried A horizons at depths of approximately 0.8 m. These profiles had up to 130% higher SOC stocks. The mean δ13C of all deep soil profiles clearly indicated that arable land use has already altered the stable isotopic signature in the first meter of the profile. Radiocarbon dating showed that the 14C age in the buried horizon was younger than in overlaying soils indicating a substantial sedimentation phase for the overlaying soils. An additional analysis of total mercury contents in the soil profiles indicated that this sedimentation was associated with upstream hydraulic gold mining after the 1850s. In summary, deep alluvial soils in floodplains store large amounts of SOC not yet accounted for in global carbon models. Historic data give evidence that large amounts of sediment were transported into the floodplains of most rivers of the Central Valley and deposited over organically rich topsoil, which promoted the stabilization of SOC, and needs to be considered to improve our understanding of the human-induced interference with C cycling.
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","language":"English","publisher":"American Meterorological Society","doi":"10.1175/BAMS-D-18-0219.1","usgsCitation":"Vano, J.A., Dettinger, M.D., Cifelli, R., Curtis, D., Dufour, A., Miller, K., Olsen, J.R., and Wilson, A.M., 2019, Hydroclimatic extremes as challenges for the water-management community—Lessons from Lake Oroville and Hurricane Harvey: Bulletin of the American Meteorological Society, v. 99, no. 12, p. S9-S14, https://doi.org/10.1175/BAMS-D-18-0219.1.","productDescription":"11 p.","startPage":"S9","endPage":"S14","ipdsId":"IP-098230","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":467901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-18-0219.1","text":"Publisher Index Page"},{"id":362381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vano, Julie A.","contributorId":211531,"corporation":false,"usgs":false,"family":"Vano","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":754338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":754337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cifelli, Rob","contributorId":211532,"corporation":false,"usgs":false,"family":"Cifelli","given":"Rob","email":"","affiliations":[{"id":38261,"text":"NOAA/ESRL/Physical Sciences Division","active":true,"usgs":false}],"preferred":false,"id":754339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curtis, David","contributorId":211533,"corporation":false,"usgs":false,"family":"Curtis","given":"David","email":"","affiliations":[{"id":38262,"text":"WEST Consultants, Inc","active":true,"usgs":false}],"preferred":false,"id":754340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dufour, Alexis","contributorId":211534,"corporation":false,"usgs":false,"family":"Dufour","given":"Alexis","email":"","affiliations":[{"id":38263,"text":"San Francisco Public Utilities Commission","active":true,"usgs":false}],"preferred":false,"id":754341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Kathleen","contributorId":176765,"corporation":false,"usgs":false,"family":"Miller","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":754342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olsen, J. Rolf","contributorId":211535,"corporation":false,"usgs":false,"family":"Olsen","given":"J.","email":"","middleInitial":"Rolf","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":754343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Anna M.","contributorId":211536,"corporation":false,"usgs":false,"family":"Wilson","given":"Anna","email":"","middleInitial":"M.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":754344,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205061,"text":"70205061 - 2019 - Examining the potential contributions of extreme 'Western V' sea surface temperatures to the 2017 MAMJ East African drought","interactions":[],"lastModifiedDate":"2019-08-29T08:53:17","indexId":"70205061","displayToPublicDate":"2019-02-15T08:50:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Examining the potential contributions of extreme 'Western V' sea surface temperatures to the 2017 MAMJ East African drought","docAbstract":"Anthropogenic warming of Western V sea surface temperatures contributed to East African drought. Extremely warm (FAR=1) Western V SST doubled the probability of drought, contributing to widespread food insecurity.
","language":"English","publisher":"AMS","doi":"10.1175/BAMS-D-18-0108.1","usgsCitation":"Funk, C., Hoell, A., Nicholson, S.E., Korecha, D., Galu, G., Fetene, T., Kinfe, H., Harrison, L., Zewdu, S., Abebe, T., Zachary, A., Pomposi, C., and Pedreros, D., 2019, Examining the potential contributions of extreme 'Western V' sea surface temperatures to the 2017 MAMJ East African drought: Bulletin of the American Meteorological Society, v. 100, no. 1, p. 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2019 - Design and methods of the U.S. Geological Survey Northeast Stream Quality Assessment (NESQA), 2016","interactions":[],"lastModifiedDate":"2019-02-15T14:02:05","indexId":"ofr20181183","displayToPublicDate":"2019-02-15T08:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1183","displayTitle":"Design and Methods of the U.S. Geological Survey Northeast Stream Quality Assessment (NESQA), 2016","title":"Design and methods of the U.S. Geological Survey Northeast Stream Quality Assessment (NESQA), 2016","docAbstract":"During 2016, as part of the National Water-Quality Assessment Project (NAWQA), the U.S. Geological Survey conducted the Northeast Stream Quality Assessment (NESQA) to investigate stream quality in the northeastern United States. The goal of the NESQA was to assess the health of wadeable streams in the region by characterizing multiple water-quality factors that are stressors to aquatic life and by evaluating the relation between these stressors and the condition of biological communities. Urbanization, agriculture, and human modifications to streamflow are anthropogenic changes that greatly affect water quality in the region; consequently, the study design primarily selected sites and targeted stressors associated with these activities. The NESQA built on a prior NAWQA study conducted in the region in 2014, the Atlantic Highlands flow-ecology study, which investigated the effects of anthropogenically modified flows on aquatic biological communities in primarily forested watersheds. Land-cover data for the NESQA were used to identify and select sites within the region that had watersheds ranging in levels of urban and agricultural development. A total of 95 sites were selected: 67 on streams in watersheds representing a range of urban land use, 13 on streams in watersheds with some degree of agricultural land use, and 15 on streams in predominantly forested watersheds with little development. Depending on land-cover characteristics, sites were sampled weekly for metal and organic contaminants, nutrients, and sediment for either a 9-week period that began the week of June 6, 2016, or a 4-week period that begin the week of July 11, 2016. Beginning August 1, 2016, and for about 2 weeks, an ecological survey was conducted at every site to assess stream habitat, and algal, benthic invertebrate, and fish communities. Additional samples collected during the ecological surveys were streambed sediment for chemical analysis and toxicity testing, and fish tissue for mercury analysis. This report describes the various study components and methods of the NESQA and describes a precursor effort for the Atlantic Highlands flow-ecology study. Details are presented for measurements of water quality, sediment chemistry, streamflow, and ecological surveys of stream biota and habitat, as well as processes of sample analysis, quality assurance and quality control, and data management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181183","collaboration":"National Water Quality Program","usgsCitation":"Coles, J.F., Riva-Murray, K., Van Metre, P.C., Button, D.T., Bell, A.H., Qi, S.L., Journey, C.A., and Sheibley, R.W., 2019, Design and methods of the U.S. Geological Survey Northeast Stream Quality Assessment (NESQA), 2016: U.S. Geological Survey Open-File Report 2018–1183, 46 p., https://doi.org/10.3133/ofr20181183.","productDescription":"Report: vii, 46 p.; Appendixes 1 and 2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-095438","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":361093,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1183/ofr20181183_appendix2.xlsx","text":"Appendix 2, tables 2.1 through 2.10: Excel ","size":"119 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":361094,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1183/ofr20181183_appendixes.zip","text":"Appendixes 1 and 2, all tables in CSV format","size":"5.45 GB","linkFileType":{"id":6,"text":"zip"}},{"id":361095,"rank":6,"type":{"id":18,"text":"Project Site"},"url":"https://webapps.usgs.gov/rsqa/#!/"},{"id":361090,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1183/coverthb.jpg"},{"id":361091,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1183/ofr20181183.pdf","text":"Report","size":"2.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1183"},{"id":361092,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1183/ofr20181183_appendix1.xlsx","text":"Appendix 1, tables 1.1 through 1.4: Excel","size":"777 KB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.9365234375,\n 40.17887331434696\n ],\n [\n -68.291015625,\n 40.17887331434696\n ],\n [\n -68.291015625,\n 47.60616304386874\n ],\n [\n -79.9365234375,\n 47.60616304386874\n ],\n [\n -79.9365234375,\n 40.17887331434696\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
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10 Bearfoot Road
Northborough, MA 01532
Fluvial features such as floodplains and point bars are built by sediment deposition and sculpted by erosion. Long-term measurements (38 yr) of the cross-section topography of active floodplains and point bars along the freely-meandering Powder River in southeastern Montana, USA (mean daily discharge of 12.5 m3 s−1), were used to develop dynamic relations between annual sediment deposition and peak-flood discharge. Five floodplain sections and five point-bar sections were selected from 24 cross sections along a 90-km study reach. At each cross section the sediment deposition volume per unit streamwise distance was computed as the difference between two topographic surveys made in consecutive years.
Snowmelt floods were found to be the dominant annual process. However, other processes such as flash floods, ice breakup floods, and autumnal floods were important episodically. The dynamic relations were linear for both fluvial features. The snowmelt deposition-discharge relations showed, in general, that point bars were about two times more efficient at trapping sediment than floodplains. Each relation had a discharge threshold that must be exceeded before sediment was deposited. Although these discharge thresholds for floodplains and point bars had essentially the same mean value (69 and 71 m3 s−1, respectively), they represented different processes. Thresholds for other rivers will probably differ from those for Powder River because of different channel geometry and sediment characteristics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2018.11.032","usgsCitation":"Moody, J.A., 2019, Dynamic relations for the deposition of sediment on floodplains and point bars of a freely-meandering river: Geomorphology, v. 327, p. 585-597, https://doi.org/10.1016/j.geomorph.2018.11.032.","productDescription":"13 p.","startPage":"585","endPage":"597","ipdsId":"IP-099112","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":408881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.0,\n 45.0\n ],\n [\n -105.2,\n 45.0\n ],\n [\n -105.2,\n 45.3\n ],\n [\n -106.0,\n 45.3\n ],\n [\n -106.0,\n 45.0\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"327","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":856136,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70217885,"text":"70217885 - 2019 - Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities","interactions":[],"lastModifiedDate":"2021-02-09T13:17:15.996901","indexId":"70217885","displayToPublicDate":"2019-02-15T07:06:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities","docAbstract":"The effectiveness of Integrated Water Resource Management (IWRM) modeling hinges on the quality of practices employed through the process, starting from early problem definition all the way through to using the model in a way that serves its intended purpose. The adoption and implementation of effective modeling practices need to be guided by a practical understanding of the variety of decisions that modelers make, and the information considered in making these choices. There is still limited documented knowledge on the modeling workflow, and the role of contextual factors in determining this workflow and which practices to employ. This paper attempts to contribute to this knowledge gap by providing systematic guidance of the modeling practices through the phases (Planning, Development, Application, and Perpetuation) and steps that comprise the modeling process, positing questions that should be addressed. Practice-focused guidance helps explain the detailed process of conducting IWRM modeling, including the role of contextual factors in shaping practices. We draw on findings from literature and the authors’ collective experience to articulate what and how contextual factors play out in employing those practices. In order to accelerate our learning about how to improve IWRM modeling, the paper concludes with five key areas for future practice-related research: knowledge sharing, overcoming data limitations, informed stakeholder involvement, social equity and uncertainty management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2019.02.013","usgsCitation":"Badham, J., Elsawah, S., Guillaume, J., Hamilton, S.H., Hunt, R., Jakeman, A.J., Pierce, S.A., Babbar-Sebens, M., Fu, B., Gober, P., Hill, M.C., Iwanaga, T., Loucks, D.P., Merritt, W.S., Peckham, S.D., Richmond, A.K., Zare, F., Ames, D.P., and Bammer, G., 2019, Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities: Environmental Modelling & Software, v. 116, 17 p., https://doi.org/10.1016/j.envsoft.2019.02.013.","productDescription":"17 p.","ipdsId":"IP-098737","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":467903,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://ro.ecu.edu.au/ecuworkspost2013/5935","text":"Publisher Index Page"},{"id":383145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Badham, J.","contributorId":248842,"corporation":false,"usgs":false,"family":"Badham","given":"J.","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":810046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elsawah, Sondoss","contributorId":146686,"corporation":false,"usgs":false,"family":"Elsawah","given":"Sondoss","affiliations":[],"preferred":false,"id":810047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guillaume, Joseph H. A.","contributorId":248835,"corporation":false,"usgs":false,"family":"Guillaume","given":"Joseph H. A.","affiliations":[{"id":50037,"text":"Water and Development Research Group, Aalto University, Finland","active":true,"usgs":false}],"preferred":false,"id":810048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamilton, Serena H","contributorId":248834,"corporation":false,"usgs":false,"family":"Hamilton","given":"Serena","email":"","middleInitial":"H","affiliations":[{"id":50035,"text":"School of Science, Edith Cowan University, Joondalup, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":810049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":208800,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[],"preferred":true,"id":810050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jakeman, Anthony J. 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0000-0003-2494-0518","orcid":"https://orcid.org/0000-0003-2494-0518","contributorId":174165,"corporation":false,"usgs":false,"family":"Fu","given":"Baihua","email":"","affiliations":[],"preferred":false,"id":810054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gober, Patricia","contributorId":248837,"corporation":false,"usgs":false,"family":"Gober","given":"Patricia","email":"","affiliations":[{"id":50039,"text":"School of Geographical Sciences and Urban Planning, Arizona State University, Tempe AZ, USA","active":true,"usgs":false}],"preferred":false,"id":810055,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hill, Mary C","contributorId":248840,"corporation":false,"usgs":false,"family":"Hill","given":"Mary","email":"","middleInitial":"C","affiliations":[{"id":50042,"text":"University of Kansas, USA","active":true,"usgs":false}],"preferred":false,"id":810056,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Iwanaga, Takuya","contributorId":248838,"corporation":false,"usgs":false,"family":"Iwanaga","given":"Takuya","email":"","affiliations":[{"id":50040,"text":"Fenner School of Environment & Society, Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":810092,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Loucks, Daniel P","contributorId":248843,"corporation":false,"usgs":false,"family":"Loucks","given":"Daniel","email":"","middleInitial":"P","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":810057,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Merritt, Wendy S.","contributorId":248859,"corporation":false,"usgs":false,"family":"Merritt","given":"Wendy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":810093,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Peckham, Scott D","contributorId":248844,"corporation":false,"usgs":false,"family":"Peckham","given":"Scott","email":"","middleInitial":"D","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":810058,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Richmond, Amy K","contributorId":248845,"corporation":false,"usgs":false,"family":"Richmond","given":"Amy","email":"","middleInitial":"K","affiliations":[{"id":50043,"text":"US Military Academy","active":true,"usgs":false}],"preferred":false,"id":810059,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zare, Fateme","contributorId":248841,"corporation":false,"usgs":false,"family":"Zare","given":"Fateme","email":"","affiliations":[{"id":50040,"text":"Fenner School of Environment & Society, Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":810094,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ames, Daniel P.","contributorId":204468,"corporation":false,"usgs":false,"family":"Ames","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":810095,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Bammer, Gabriele","contributorId":248860,"corporation":false,"usgs":false,"family":"Bammer","given":"Gabriele","email":"","affiliations":[],"preferred":false,"id":810096,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70202216,"text":"70202216 - 2019 - Simulating demography, genetics, and spatially explicit processes to inform reintroduction of a threatened char","interactions":[],"lastModifiedDate":"2019-02-14T13:18:50","indexId":"70202216","displayToPublicDate":"2019-02-14T13:18:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Simulating demography, genetics, and spatially explicit processes to inform reintroduction of a threatened char","docAbstract":"The success of species reintroductions can depend on a combination of environmental, demographic, and genetic factors. Although the importance of these factors in the success of reintroductions is well‐accepted, they are typically evaluated independently, which can miss important interactions. For species that persist in metapopulations, movement through and interaction with the landscape is predicted to be a vital component of persistence. Simulation‐based approaches are a promising technique for evaluating the independent and combined effects of these factors on the outcome of various reintroduction and associated management actions. We report results from a simulation study of bull trout (Salvelinus confluentus) reintroduction to three watersheds of the Pend Oreille River system in northeastern Washington State, USA. We used an individual‐based, spatially explicit simulation model to evaluate how reintroduction strategies, life history variation, and riverscape structure (e.g., network topology) interact to influence the demographic and genetic characteristics of reintroduced bull trout populations in three watersheds. Simulation scenarios included a range of initial genetic stocks (informed by empirical bull trout genetic data), variation in migratory tendency and life history, and two landscape connectivity alternatives representing a connected network (isolation‐by‐distance) and a fragmented network (isolation‐by‐barrier, using the known existing barriers). A novel feature of these simulations was the ability to consider the interaction of both demographic and genetic (i.e., demogenetic) factors in riverscapes with implicit asymmetric movement probabilities across the barriers. We found that connectivity (presence or absence of barriers) had the largest effect on demographic and genetic outcomes over 200 yr, with a greater effect than both initial genetic diversity and life history variation. We also identified regions of the study system in which bull trout populations persisted across a wide range of demographic, life history, and environmental connectivity parameters. Finally, we found no evidence that initial neutral genetic diversity influenced genetic diversity and structure after 200 yr; instead, genetic drift due to stray rate and population isolation dominated and erased any initial differences in genetic diversity. Our results highlight the utility of spatially explicit demogenetic approaches in exploring and understanding population dynamics—and their implications for management strategies—in fresh waters.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2589","usgsCitation":"Mims, M.C., Day, C.C., Burkhart, J.J., Fuller, M.R., Hinkle, J., Bearlin, A., Dunham, J.B., DeHaan, P.W., Holden, Z.A., and Landguth, E.L., 2019, Simulating demography, genetics, and spatially explicit processes to inform reintroduction of a threatened char: Ecosphere, v. 10, no. 2, p. 1-24, https://doi.org/10.1002/ecs2.2589.","productDescription":"Article e02589; 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-103940","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467904,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2589","text":"Publisher Index Page"},{"id":361262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Pend Oreille River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.51113891601561,\n 48.179822811961785\n ],\n [\n -117.02911376953124,\n 48.179822811961785\n ],\n [\n -117.02911376953124,\n 48.9991410647952\n ],\n [\n -117.51113891601561,\n 48.9991410647952\n ],\n [\n -117.51113891601561,\n 48.179822811961785\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Mims, Meryl C. 0000-0003-0570-988X","orcid":"https://orcid.org/0000-0003-0570-988X","contributorId":209951,"corporation":false,"usgs":false,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":757283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Casey C.","contributorId":213259,"corporation":false,"usgs":false,"family":"Day","given":"Casey","email":"","middleInitial":"C.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":757284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkhart, Jacob J.","contributorId":213260,"corporation":false,"usgs":false,"family":"Burkhart","given":"Jacob","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":757285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Matthew 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jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":757289,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeHaan, Patrick W.","contributorId":145918,"corporation":false,"usgs":false,"family":"DeHaan","given":"Patrick","email":"","middleInitial":"W.","affiliations":[{"id":16297,"text":"USFWS Abernathy Fish Technology Center, Longview, WA 98632","active":true,"usgs":false}],"preferred":false,"id":757290,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holden, Zachary A.","contributorId":213263,"corporation":false,"usgs":false,"family":"Holden","given":"Zachary","email":"","middleInitial":"A.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":757291,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Landguth, Erin L.","contributorId":190821,"corporation":false,"usgs":false,"family":"Landguth","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":757292,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70202209,"text":"70202209 - 2019 - River‐valley morphology, basin size, and flow‐event magnitude interact to produce wide variation in flooding dynamics","interactions":[],"lastModifiedDate":"2019-02-14T12:37:40","indexId":"70202209","displayToPublicDate":"2019-02-14T12:37:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"River‐valley morphology, basin size, and flow‐event magnitude interact to produce wide variation in flooding dynamics","docAbstract":"Inundation dynamics are a key driver of ecosystem form and function in river‐valley bottoms. Inundation itself is an outcome of multi‐scalar interactions and can vary strongly within and among river reaches. As a result, establishing to what degree and how inundation dynamics vary spatially both within and among river reaches can be challenging. The objective of this study was to understand how river‐valley morphology, basin size, and flow‐event magnitude interact to affect inundation dynamics in river‐valley bottoms. We used 2D hydraulic models to simulate inundation in four river reaches from Maryland's Piedmont physiographic province, and qualitatively and quantitatively summarized within‐ and among‐reach patterns of inundation extent, duration, depth, shear stress, and wetting frequencies. On average, reaches from confined valley settings experienced less extensive flooding, shorter durations and shallower depths, stronger gradients of maximum shear stress, and relatively infrequent wetting compared to reaches from unconfined settings. These patterns were generally consistent across flow‐event magnitudes. Patterns of within‐reach flooding across event magnitudes revealed complex interactions between hydrology and surface topography. We concluded that valley morphology had a greater impact on flooding patterns than basin size: Inundation patterns were more consistent across reaches of similar morphology than similar basin size, but absolute values of inundation characteristics varied between large and small basins. Our results showed that the manifestation of out‐of‐bank flows in valley floors can vary widely depending on geomorphic context, even within a single physiographic province, which suggests that hydrologic and hydraulic conditions experienced on the valley floor may not be well represented by existing hydrologic metrics derived from discharge data alone. We thus support the notion that 2D hydraulic models can be useful hydrometric tools for cross‐scale investigations of floodplain ecosystems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2546","usgsCitation":"Van Appledorn, M., Baker, M.E., and Miller, A.J., 2019, River‐valley morphology, basin size, and flow‐event magnitude interact to produce wide variation in flooding dynamics: Ecosphere, v. 10, no. 1, p. 1-25, https://doi.org/10.1002/ecs2.2546.","productDescription":"Article e02546; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-096187","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467905,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2546","text":"Publisher Index Page"},{"id":437572,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ITQTNQ","text":"USGS data release","linkHelpText":"Complex interactions among river-valley morphology, basin size, and flow-event magnitude structure the physical template of floodplain ecosystems. Data"},{"id":361256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay Watershed","volume":"10","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Matthew E.","contributorId":149189,"corporation":false,"usgs":false,"family":"Baker","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":17665,"text":"Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":757249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Andrew J.","contributorId":207595,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":15309,"text":"University of Maryland Baltimore County","active":true,"usgs":false}],"preferred":false,"id":757250,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202210,"text":"70202210 - 2019 - Effects of urban multi-stressors on three stream biotic assemblages","interactions":[],"lastModifiedDate":"2019-02-14T12:28:29","indexId":"70202210","displayToPublicDate":"2019-02-14T12:28:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Effects of urban multi-stressors on three stream biotic assemblages","docAbstract":"During 2014, the U.S. Geological Survey (USGS) National Water-Quality Assessment(NAWQA) project assessed stream quality in 75 streams across an urban disturbance gradient within the Piedmont ecoregion of southeastern United States. Our objectives were to identify primary instream stressors affecting algal, macroinvertebrate and fish assemblages in wadeable streams. Biotic communities were surveyed once at each site, and various instream stressors were measured during a 4-week index period preceding the ecological sampling. The measured stressors included nutrients; contaminants in water, passive samplers, and sediment; instream habitat; and flow variability. All nine boosted regression tree models – three for each of algae, invertebrates, and fish – had cross-validation R2 (CV R2) values of 0.41 or above, and an invertebrate model had the highest CV R2 of 0.65. At least one contaminant metric was important in every model, and minimum daytime dissolved oxygen (DO), nutrients, and flow alteration were important explanatory variables in many of the models. Physical habitat metrics such as sediment substrate were only moderately important. Flow alteration metrics were useful factors in eight of the nine models. Total phosphorus, acetanilide herbicides and flow (time since last peak) were important in all three algal models, whereas insecticide metrics (especially those representing fipronil and imidacloprid) were dominant in the invertebrate models. DO values below approximately 7 mg/L corresponded to a strong decrease in sensitive taxa or an increase in tolerant taxa. DO also showed strong interactions with other variables, particularly contaminants and sediment, where the combined effect of low DO and elevated contaminants increased the impact on the biota more than each variable individually. Contaminants and flow alteration were strongly correlated to urbanization, indicating the importance of urbanization to ecological stream condition in the region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.12.240","usgsCitation":"Waite, I.R., Munn, M., Moran, P.W., Konrad, C.P., Nowell, L.H., Meador, M.R., Van Metre, P.C., and Carlisle, D.M., 2019, Effects of urban multi-stressors on three stream biotic assemblages: Science of the Total Environment, v. 660, p. 1472-1485, https://doi.org/10.1016/j.scitotenv.2018.12.240.","productDescription":"14 p.","startPage":"1472","endPage":"1485","ipdsId":"IP-100484","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":467906,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.12.240","text":"Publisher Index Page"},{"id":437573,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L86OG8","text":"USGS data release","linkHelpText":"Water-quality and stream-habitat metrics calculated for the National Water-Quality Assessment Program's Regional Stream Quality Assessment conducted in the southeast United States in support of ecological and habitat stressor models, 2014"},{"id":361255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"660","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munn, Mark D. 0000-0002-7154-7252","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":205360,"corporation":false,"usgs":true,"family":"Munn","given":"Mark D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":195592,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":757256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":757257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":757258,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202211,"text":"70202211 - 2019 - Negligible cycling of terrestrial carbon in many lakes of the arid circumpolar landscape","interactions":[],"lastModifiedDate":"2020-10-22T20:19:11.915378","indexId":"70202211","displayToPublicDate":"2019-02-14T12:25:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Negligible cycling of terrestrial carbon in many lakes of the arid circumpolar landscape","docAbstract":"High-latitude environments store nearly half of the planet’s below-ground organic carbon (OC), mostly in perennially frozen permafrost soils. Climatic changes drive increased export of terrestrial OC into many aquatic networks, yet the role that circumpolar lakes play in mineralizing this carbon is unclear. Here we directly evaluate ecosystem-scale OC cycling for lakes of interior Alaska. This arid, low-relief lake landscape is representative of over a quarter of total northern circumpolar lake area, but is greatly under-represented in current studies. Contrary to projections based on work in other regions, the studied lakes had a negligible role in mineralizing terrestrial carbon; they received little OC from ancient permafrost soils, and had small net contribution to the watershed carbon balance. Instead, most lakes recycled large quantities of internally derived carbon fixed from atmospheric CO2, underscoring their importance as critical sites for material and energy provision to regional food webs. Our findings deviate from the prevailing paradigm that northern lakes are hotspots of terrestrial OC processing. The shallow and hydrologically disconnected nature of lakes in many arid circumpolar landscapes isolates them from terrestrial carbon processing under current climatic conditions.
","language":"English","publisher":"Nature","doi":"10.1038/s41561-019-0299-5","usgsCitation":"Bogard, M.J., Kuhn, C.D., Johnston, S.E., Striegl, R.G., Holtgrieve, G.W., Dornblaser, M.M., Spencer, R.G., Wickland, K.P., and Butman, D.E., 2019, Negligible cycling of terrestrial carbon in many lakes of the arid circumpolar landscape: Nature Geoscience, v. 12, p. 180-185, https://doi.org/10.1038/s41561-019-0299-5.","productDescription":"6 p.","startPage":"180","endPage":"185","ipdsId":"IP-103032","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":361254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bogard, Matthew J. 0000-0001-9491-0328","orcid":"https://orcid.org/0000-0001-9491-0328","contributorId":213254,"corporation":false,"usgs":false,"family":"Bogard","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":757260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuhn, Catherine D. 0000-0002-9220-630X","orcid":"https://orcid.org/0000-0002-9220-630X","contributorId":213255,"corporation":false,"usgs":false,"family":"Kuhn","given":"Catherine","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":757261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Sarah Ellen","contributorId":213256,"corporation":false,"usgs":false,"family":"Johnston","given":"Sarah","email":"","middleInitial":"Ellen","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":757262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":757263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holtgrieve, Gordon W. 0000-0002-4451-3567","orcid":"https://orcid.org/0000-0002-4451-3567","contributorId":213257,"corporation":false,"usgs":false,"family":"Holtgrieve","given":"Gordon","email":"","middleInitial":"W.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":757264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":757265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spencer, Robert G. M.","contributorId":204174,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert","email":"","middleInitial":"G. M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":757266,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":757259,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Butman, David E.","contributorId":145535,"corporation":false,"usgs":false,"family":"Butman","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":16142,"text":"School of Environmental and Forest Sciences & Environmental Engineering, University of Washington, Seattle","active":true,"usgs":false}],"preferred":false,"id":757267,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70227174,"text":"70227174 - 2019 - Postglacial faulting near Crater Lake, Oregon, and its possible association with the Mazama caldera-forming eruption","interactions":[],"lastModifiedDate":"2024-09-13T16:11:50.001045","indexId":"70227174","displayToPublicDate":"2019-02-14T11:45:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Postglacial faulting near Crater Lake, Oregon, and its possible association with the Mazama caldera-forming eruption","docAbstract":"Volcanoes of subduction-related magmatic arcs occur in a variety of crustal tectonic regimes, including where active faults indicate arc-normal extension. The Cascades arc volcano Mount Mazama overlaps on its west an ∼10-km-wide zone of ∼north-south–trending normal faults. A lidar (light detection and ranging) survey of Crater Lake National Park, reveals several previously unrecognized faults west of the caldera. Postglacial vertical separations measured from profiles across scarps range from ∼2 m to as much as 12 m. Scarp profiles commonly suggest two or more postglacial surface-rupturing events. Ignimbrite of the ca. 7.6 ka climactic eruption of Mount Mazama, during which Crater Lake caldera formed, appears to bury fault strands where they project into thick, valley-filling ignimbrite. Lack of lateral offset of linear features suggests principally normal displacement, although predominant left stepping of scarp strands implies a component of dextral slip. West-northwest–east-southeast and north-northwest–south-southeast linear topographic elements, such as low scarps or ridges, shallow troughs, and straight reaches of streams, suggest that erosion was influenced by distributed shear, consistent with GPS vectors and clockwise rotation of the Oregon forearc block.
Surface rupture lengths (SRL) of faults suggest earthquakes of (moment magnitude) Mw6.5 from empirical scaling relationships. If several faults slipped in one event, a combined SRL of 44 km suggests an earthquake of Mw7.0. Postglacial scarps as high as 12 m imply maximum vertical slip rates of 1.5 mm/yr for the zone west of Crater Lake, considerably higher than the ∼0.3 mm/yr long-term rate for the nearby West Klamath Lake fault zone. An unanswered question is the timing of surface-rupturing earthquakes relative to the Mazama climactic eruption. The eruption may have been preceded by a large earthquake. Alternatively, large surface-rupturing earthquakes may have occurred during the eruption, a result of decrease in east-west compressive stress during ejection of ∼50 km3 of magma and concurrent caldera collapse.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35013.1","usgsCitation":"Bacon, C.R., and Robinson, J., 2019, Postglacial faulting near Crater Lake, Oregon, and its possible association with the Mazama caldera-forming eruption: Geological Society of America Bulletin, v. 131, no. 9-10, p. 1440-1458, https://doi.org/10.1130/B35013.1.","productDescription":"19 p.","startPage":"1440","endPage":"1458","ipdsId":"IP-092469","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":393761,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Crater Lake, Mount Mazama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.18376159667969,\n 42.8913095904188\n ],\n [\n -122.02651977539062,\n 42.8913095904188\n ],\n [\n -122.02651977539062,\n 42.989329864840975\n ],\n [\n -122.18376159667969,\n 42.989329864840975\n ],\n [\n -122.18376159667969,\n 42.8913095904188\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2019-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":829916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":829917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201079,"text":"sim3422 - 2019 - Stratigraphic cross sections of the Niobrara Interval of the Upper Cretaceous Cody Shale in the Bighorn Basin, Wyoming and Montana","interactions":[],"lastModifiedDate":"2019-02-14T11:30:48","indexId":"sim3422","displayToPublicDate":"2019-02-14T11:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3422","title":"Stratigraphic cross sections of the Niobrara Interval of the Upper Cretaceous Cody Shale in the Bighorn Basin, Wyoming and Montana","docAbstract":"The Bighorn Basin is one of many structural and sedimentary basins that formed in the Rocky Mountain foreland during the Laramide orogeny. The basin is nearly 180 miles long, 100 miles wide, and encompasses about 10,400 square miles in northern Wyoming and southern Montana. The basin is bounded by major basement uplifts that include the Pryor uplift on the northeast, the Beartooth uplift on the northwest, the Bighorn uplift on the east, and the Owl Creek uplift on the south. The northern margin includes a zone of faulting and folding referred to as the Nye-Bowler lineament. The western margin is formed by volcanic rocks of the Absaroka Range.
Many important conventional oil and gas fields producing from reservoirs ranging in age from Cambrian through Tertiary have been discovered in this basin. In addition, an extensive unconventional overpressured basin-centered gas accumulation may be present in Cretaceous strata in the deeper parts of the basin. It has long been suggested that various Upper Cretaceous marine shales, including the Cody Shale, are the principal hydrocarbon source rocks for many of these accumulations. With recent advances and success in horizontal drilling and multistage fracture stimulation, there has been an increase in exploration and completion of wells in these marine shales in other Rocky Mountain Laramide basins that were traditionally thought of only as hydrocarbon source rocks.
The stratigraphic cross sections presented in this report were constructed as part of a project carried out by the U.S. Geological Survey to characterize and evaluate the undiscovered continuous (unconventional) oil and gas resources of the Niobrara interval in the lower part of the Upper Cretaceous Cody Shale in the Bighorn Basin. These cross sections were constructed using borehole geophysical logs from wells drilled for oil and gas exploration and production. The stratigraphic interval extends from the upper part of the Frontier Formation to the middle part of the Cody Shale. The datum is the base of the “chalk kick” marker bed, a distinctive resistivity peak or zone in the lower part of the Cody Shale. A gamma ray and (or) spontaneous potential log was used in combination with a resistivity log to identify and correlate units. Marine molluscan index fossils collected from nearby outcrop sections were projected into the subsurface to help determine the relative ages of the strata and aid in correlation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3422","usgsCitation":"Finn, T.M., 2019, Stratigraphic cross sections of the Niobrara Interval of the Upper Cretaceous Cody Shale in the Bighorn Basin, Wyoming and Montana: U.S. Geological Survey Scientific Investigations Map 3422, pamphlet 19 p., 1 sheet [cross section], https://doi.org/10.3133/sim3422.","productDescription":"Pamphlet: iv, 19 p.; Sheet: 52.00 x 29.51 inches","onlineOnly":"Y","ipdsId":"IP-092438","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361171,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3422/sim3422_sheet.pdf","text":"Cross Sections","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3422 Cross Sections"},{"id":361169,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3422/coverthb_sheet.jpg"},{"id":361170,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3422/sim3422_pamphlet.pdf","text":"Report","size":"3.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3422 Pamphlet"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Bighorn Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110,\n 43\n ],\n [\n -107,\n 43\n ],\n [\n -107,\n 45.5\n ],\n [\n -110,\n 45.5\n ],\n [\n -110,\n 43\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Groundwater samples collected during 2012 and 2013 from public-supply wells screened in the Atlantic and Gulf Coastal Plain aquifers of the eastern and southeastern U.S. rarely contained lead or manganese concentrations that exceeded drinking-water limits, despite having corrosive characteristics. Data indicate that the occurrence of dissolved lead and manganese in sampled groundwater, prior to its distribution or treatment, was related to several explanatory factors including the presence of source minerals, hydrologic position along the flow path, water-rock interactions, and associated geochemical conditions such as pH and dissolved oxygen (DO) concentrations. Elevated concentrations of lead compared to health-based benchmarks were associated with groundwater that is acidic (pH ≤ 6.5), oxygenated (DO ≥ 2 mg/L), and closer to recharge zones (relatively young water). Elevated concentrations of manganese were associated with groundwater that is acidic to neutral (pH ≤ 7.5), has low DO (<2 mg/L), and further from recharge zones (relatively old). Under these geochemical conditions, minerals that could sequester lead or manganese tended to be undersaturated, and adsorption by hydrous ferric oxide was limited. Under neutral to alkaline pH conditions, precipitation of impure calcium carbonate or phosphate compounds containing traces of lead or manganese (solid solutions) could maintain low concentrations of the trace elements. Additionally, adsorption of lead or manganese cations by hydrous ferric oxides (HFO) could be another attenuating factor where conditions are oxidizing and dissolved inorganic carbon concentrations are relatively low. A DO/pH framework was developed as a screening tool for evaluating risk of elevated lead or manganese, based on the occurrence of elevated lead and manganese concentrations and the corresponding distributions of DO and pH in the Atlantic and Gulf Coastal Plain aquifers. Validation of the DO/pH framework was accomplished using an independent national dataset that showed consistent results for elevated lead (pH ≤ 6.5; DO ≥ 2 mg/L) and manganese (pH ≤ 7.5; DO < 2 mg/L).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2018.10.017","usgsCitation":"Brown, C., Barlow, J.R., Cravotta, C., and Lindsey, B.D., 2019, Factors affecting the occurrence of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States—Dissolved oxygen and pH framework for evaluating risk of elevated concentrations: Applied Geochemistry, v. 101, p. 88-102, https://doi.org/10.1016/j.apgeochem.2018.10.017.","productDescription":"15 p.","startPage":"88","endPage":"102","ipdsId":"IP-086334","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":437574,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MK6BCD","text":"USGS data release","linkHelpText":"Inventory of well-construction data, water-quality and quality control data, statistical data, and geochemical modeling data for wells in Atlantic and Gulf Coastal Plain aquifers, eastern United States, 2012 and 2013"},{"id":361243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic and Gulf Coastal Plain aquifers","volume":"101","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Craig J. 0000-0002-3858-3964","orcid":"https://orcid.org/0000-0002-3858-3964","contributorId":210450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":757190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202191,"text":"70202191 - 2019 - Most Earth-surface calcites precipitate out of isotopic equilibrium","interactions":[],"lastModifiedDate":"2019-02-14T09:43:05","indexId":"70202191","displayToPublicDate":"2019-02-14T09:43:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Most Earth-surface calcites precipitate out of isotopic equilibrium","docAbstract":"Oxygen-isotope thermometry played a critical role in the rise of modern geochemistry and remains extensively used in (bio-)geoscience. Its theoretical foundations rest on the assumption that 18O/16O partitioning among water and carbonate minerals primarily reflects thermodynamic equilibrium. However, after decades of research, there is no consensus on the true equilibrium 18O/16O fractionation between calcite and water (18αcc/w). Here, we constrain the equilibrium relations linking temperature, 18αcc/w, and clumped isotopes (Δ47) based on the composition of extremely slow-growing calcites from Devils Hole and Laghetto Basso (Corchia Cave). Equilibrium 18αcc/w values are systematically ~1.5‰ greater than those in biogenic and synthetic calcite traditionally considered to approach oxygen-isotope equilibrium. We further demonstrate that subtle disequilibria also affect Δ47 in biogenic calcite. These observations provide evidence that most Earth-surface calcites fail to achieve isotopic equilibrium, highlighting the need to improve our quantitative understanding of non-equilibrium isotope fractionation effects instead of relying on phenomenological calibrations.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-019-08336-5","usgsCitation":"Daeron, M., Drysdale, R.N., Peral, M., Huyghe, D., Blamart, D., Coplen, T.B., Lartaud, F., and Zanchetta, G., 2019, Most Earth-surface calcites precipitate out of isotopic equilibrium: Nature Communications, v. 10, no. 1, p. 1-7, https://doi.org/10.1038/s41467-019-08336-5.","productDescription":"Article number: 429; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-097869","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-08336-5","text":"Publisher Index Page"},{"id":361242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Daeron, Mathieu 0000-0003-1210-9786","orcid":"https://orcid.org/0000-0003-1210-9786","contributorId":213227,"corporation":false,"usgs":false,"family":"Daeron","given":"Mathieu","email":"","affiliations":[{"id":38725,"text":"Université Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":757161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drysdale, Russell N 0000-0001-7867-031X","orcid":"https://orcid.org/0000-0001-7867-031X","contributorId":213230,"corporation":false,"usgs":false,"family":"Drysdale","given":"Russell","email":"","middleInitial":"N","affiliations":[{"id":16747,"text":"University of Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":757164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peral, Marion 0000-0002-6027-5482","orcid":"https://orcid.org/0000-0002-6027-5482","contributorId":213228,"corporation":false,"usgs":false,"family":"Peral","given":"Marion","email":"","affiliations":[{"id":38725,"text":"Université Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":757162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huyghe, Damien","contributorId":213229,"corporation":false,"usgs":false,"family":"Huyghe","given":"Damien","email":"","affiliations":[{"id":38726,"text":"Sorbonne Université, F-66650 Banyuls-sur-mer, France","active":true,"usgs":false}],"preferred":false,"id":757163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blamart, Dominique 0000-0003-1422-362X","orcid":"https://orcid.org/0000-0003-1422-362X","contributorId":213231,"corporation":false,"usgs":false,"family":"Blamart","given":"Dominique","email":"","affiliations":[{"id":38725,"text":"Université Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":757165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":757160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lartaud, Franck 0000-0001-7130-2944","orcid":"https://orcid.org/0000-0001-7130-2944","contributorId":213232,"corporation":false,"usgs":false,"family":"Lartaud","given":"Franck","email":"","affiliations":[{"id":38726,"text":"Sorbonne Université, F-66650 Banyuls-sur-mer, France","active":true,"usgs":false}],"preferred":false,"id":757166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zanchetta, Giovanni 0000-0002-7080-9599","orcid":"https://orcid.org/0000-0002-7080-9599","contributorId":213233,"corporation":false,"usgs":false,"family":"Zanchetta","given":"Giovanni","email":"","affiliations":[{"id":38727,"text":"University of Pisa, Italy","active":true,"usgs":false}],"preferred":false,"id":757167,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}