A database containing more than 17,700 discharge values and ancillary hydraulic properties was assembled from summaries of discharge measurement records for 424 U.S. Geological Survey streamflow-gauging stations (stream gauges) in Texas. Each discharge exceeds the 90th-percentile daily mean streamflow as determined by period-of-record, stream-gauge-specific, flow-duration curves. Each discharge therefore is assumed to represent discharge measurement made during direct-runoff conditions. The hydraulic properties of each discharge measurement included concomitant cross-sectional flow area, water-surface top width, and reported mean velocity. Systematic and statewide investigation of these data in pursuit of regional models for the estimation of discharge and mean velocity has not been previously attempted. Generalized additive regression modeling is used to develop readily implemented procedures by end-users for estimation of discharge and mean velocity from select predictor variables at ungauged stream locations. The discharge model uses predictor variables of cross-sectional flow area, top width, stream location, mean annual precipitation, and a generalized terrain and climate index (OmegaEM) derived for a previous flood-frequency regionalization study. The mean velocity model uses predictor variables of discharge, top width, stream location, mean annual precipitation, and OmegaEM. The discharge model has an adjusted R-squared value of about 0.95 and a residual standard error (RSE) of about 0.22 base-10 logarithm (cubic meters per second); the mean velocity model has an adjusted R-squared value of about 0.67 and an RSE of about 0.063 fifth root (meters per second). Example applications and computations using both regression models are provided. - See more at: http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29HE.1943-5584.0000635#sthash.jhGyPxgZ.dpuf
","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HE.1943-5584.0000635","usgsCitation":"Asquith, W.H., Herrmann, G.R., and Cleveland, T., 2013, Generalized additive regression models of discharge and mean velocity associated with direct-runoff conditions in Texas: Utility of the U.S. Geological Survey discharge measurement database: Journal of Hydrologic Engineering, v. 18, no. 10, p. 1331-1348, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000635.","productDescription":"18 p.","startPage":"1331","endPage":"1348","ipdsId":"IP-039500","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":340267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006066e4b0e85db3a5de0b","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, George R.","contributorId":191361,"corporation":false,"usgs":false,"family":"Herrmann","given":"George","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Theodore G.","contributorId":88029,"corporation":false,"usgs":true,"family":"Cleveland","given":"Theodore G.","affiliations":[],"preferred":false,"id":692816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70099272,"text":"70099272 - 2013 - Chesapeake Bay waterbirds, sea-level rise, and island restoration","interactions":[],"lastModifiedDate":"2015-04-03T09:26:42","indexId":"70099272","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chesapeake Bay waterbirds, sea-level rise, and island restoration","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine Conservation: Science, Policy, and Management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Erwin, R.M., 2013, Chesapeake Bay waterbirds, sea-level rise, and island restoration, chap. of Marine Conservation: Science, Policy, and Management, p. 161-162.","productDescription":"2 p.","startPage":"161","endPage":"162","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018325","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":284415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551fb9b2e4b027f0aee3baff","contributors":{"authors":[{"text":"Erwin, R. Michael","contributorId":87854,"corporation":false,"usgs":true,"family":"Erwin","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":491926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045513,"text":"70045513 - 2013 - Modern salt-marsh and tidal-flat foraminifera from Sitkinak and Simeonof Islands, southwestern Alaska","interactions":[],"lastModifiedDate":"2020-09-21T16:59:00.233339","indexId":"70045513","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Modern salt-marsh and tidal-flat foraminifera from Sitkinak and Simeonof Islands, southwestern Alaska","docAbstract":"We describe the modern distribution of salt-marsh and tidal-flat foraminifera from Sitkinak Island (Trinity Islands) and Simeonof Island (Shumagin Islands), Alaska, to begin development of a dataset for later use in reconstructing relative sea-level changes caused by great earthquakes along the Alaska-Aleutian subduction zone. Dead foraminifera were enumerated from a total of 58 surface-sediment samples collected along three intertidal transects around a coastal lagoon on Sitkinak Island and two intertidal transects on Simeonof Island. Two distinctive assemblages of salt-marsh foraminifera were recognized on Sitkinak Island. Miliammina fusca dominated low-marsh settings and Balticammina pseudomacrescens dominated the high marsh. These two species make up >98% of individuals. On Simeonof Island, 93% of individuals in high-marsh settings above mean high water were B. pseudomacrescens. The tidal flat on Simeonof Island was dominated by Cibicides lobatulus (60% of individuals), but the lower limit of this species is subtidal and was not sampled. These results indicate that uplift or subsidence caused by repeated earthquakes along the Alaska-Aleutian subduction zone could be reconstructed in coastal sediments using alternating assemblages of near monospecific B. pseudomacrescens and low-marsh or tidal-flat foraminifera.
Timely information on the availability of water and forage is important for the sustainable development of pastoral regions. The lack of such information increases the dependence of pastoral communities on perennial sources, which often leads to competition and conflicts. The provision of timely information is a challenging task, especially due to the scarcity or non-existence of conventional station-based hydrometeorological networks in the remote pastoral regions. A multi-source water balance modelling approach driven by satellite data was used to operationally monitor daily water level fluctuations across the pastoral regions of northern Kenya and southern Ethiopia. Advanced Spaceborne Thermal Emission and Reflection Radiometer data were used for mapping and estimating the surface area of the waterholes. Satellite-based rainfall, modelled run-off and evapotranspiration data were used to model daily water level fluctuations. Mapping of waterholes was achieved with 97% accuracy. Validation of modelled water levels with field-installed gauge data demonstrated the ability of the model to capture the seasonal patterns and variations. Validation results indicate that the model explained 60% of the observed variability in water levels, with an average root-mean-squared error of 22%. Up-to-date information on rainfall, evaporation, scaled water depth and condition of the waterholes is made available daily in near-real time via the Internet (http://watermon.tamu.edu). Such information can be used by non-governmental organizations, governmental organizations and other stakeholders for early warning and decision making. This study demonstrated an integrated approach for establishing an operational waterhole monitoring system using multi-source satellite data and hydrologic modelling.
","language":"English","publisher":"Springer","doi":"10.1186/2041-7136-3-20","usgsCitation":"Senay, G., Velpuri, N.M., Alemu, H., Pervez, S., Asante, K.O., Karuki, G., Taa, A., and Angerer, J., 2013, Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa: Pastoralism: Research, Policy and Practice, v. 3, p. 1-16, https://doi.org/10.1186/2041-7136-3-20.","productDescription":"Article 20; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-049147","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2041-7136-3-20","text":"Publisher Index Page"},{"id":342154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33,\n -0\n ],\n [\n 42.0556640625,\n -0\n ],\n [\n 42.0556640625,\n 9\n ],\n [\n 33,\n 9\n ],\n [\n 33,\n -0\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf30e4b0f6c2d0d9c7a0","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":152206,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","email":"senay@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alemu, Henok","contributorId":124527,"corporation":false,"usgs":false,"family":"Alemu","given":"Henok","email":"","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":697262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pervez, Shahriar Md 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":192362,"corporation":false,"usgs":true,"family":"Pervez","given":"Shahriar Md","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Asante, Kwabena O 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":192649,"corporation":false,"usgs":true,"family":"Asante","given":"Kwabena","email":"","middleInitial":"O","affiliations":[],"preferred":true,"id":697264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karuki, Gatarwa","contributorId":192650,"corporation":false,"usgs":false,"family":"Karuki","given":"Gatarwa","email":"","affiliations":[],"preferred":false,"id":697265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taa, Asefa","contributorId":192651,"corporation":false,"usgs":false,"family":"Taa","given":"Asefa","email":"","affiliations":[],"preferred":false,"id":697266,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Angerer, Jay","contributorId":172794,"corporation":false,"usgs":false,"family":"Angerer","given":"Jay","email":"","affiliations":[],"preferred":false,"id":697267,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189198,"text":"70189198 - 2013 - Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams","interactions":[],"lastModifiedDate":"2017-07-05T17:08:05","indexId":"70189198","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3721,"text":"Water Resources Management","onlineIssn":"1573-1650","printIssn":"0920-4741","active":true,"publicationSubtype":{"id":10}},"title":"Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams","docAbstract":"Manning’s roughness coefficient (n) has been widely used in the estimation of flood discharges or depths of flow in natural channels. Therefore, the selection of appropriate Manning’s nvalues is of paramount importance for hydraulic engineers and hydrologists and requires considerable experience, although extensive guidelines are available. Generally, the largest source of error in post-flood estimates (termed indirect measurements) is due to estimates of Manning’s n values, particularly when there has been minimal field verification of flow resistance. This emphasizes the need to improve methods for estimating n values. The objective of this study was to develop a soft computing model in the estimation of the Manning’s n values using 75 discharge measurements on 21 high gradient streams in Colorado, USA. The data are from high gradient (S > 0.002 m/m), cobble- and boulder-bed streams for within bank flows. This study presents Gene-Expression Programming (GEP), an extension of Genetic Programming (GP), as an improved approach to estimate Manning’s roughness coefficient for high gradient streams. This study uses field data and assessed the potential of gene-expression programming (GEP) to estimate Manning’s n values. GEP is a search technique that automatically simplifies genetic programs during an evolutionary processes (or evolves) to obtain the most robust computer program (e.g., simplify mathematical expressions, decision trees, polynomial constructs, and logical expressions). Field measurements collected by Jarrett (J Hydraulic Eng ASCE 110: 1519–1539, 1984) were used to train the GEP network and evolve programs. The developed network and evolved programs were validated by using observations that were not involved in training. GEP and ANN-RBF (artificial neural network-radial basis function) models were found to be substantially more effective (e.g., R2 for testing/validation of GEP and RBF-ANN is 0.745 and 0.65, respectively) than Jarrett’s (J Hydraulic Eng ASCE 110: 1519–1539, 1984) equation (R2 for testing/validation equals 0.58) in predicting the Manning’s n.
","language":"English","publisher":"Springer","doi":"10.1007/s11269-012-0211-1","usgsCitation":"Azamathulla, H., and Jarrett, R.D., 2013, Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams: Water Resources Management, v. 27, no. 3, p. 715-729, https://doi.org/10.1007/s11269-012-0211-1.","productDescription":"15 p.","startPage":"715","endPage":"729","ipdsId":"IP-023452","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-27","publicationStatus":"PW","scienceBaseUri":"595dfab8e4b0d1f9f056a7b2","contributors":{"authors":[{"text":"Azamathulla, H.","contributorId":194211,"corporation":false,"usgs":false,"family":"Azamathulla","given":"H.","email":"","affiliations":[],"preferred":false,"id":703509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarrett, Robert D. rjarrett@usgs.gov","contributorId":2260,"corporation":false,"usgs":true,"family":"Jarrett","given":"Robert","email":"rjarrett@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":703510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189568,"text":"70189568 - 2013 - Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event","interactions":[],"lastModifiedDate":"2017-07-17T15:02:31","indexId":"70189568","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event","docAbstract":"Rising CO2 concentration in the atmosphere, global climate change, and the sustainability of the Earth's biosphere are great societal concerns for the 21st century. Global climate change has, in part, resulted in a higher frequency of flooding events, which allow for greater exchange between soil/plant litter and aquatic carbon pools. Here we demonstrate that the summer 2011 flood in the Mississippi River basin, caused by extreme precipitation events, resulted in a “flushing” of terrestrially derived dissolved organic carbon (TDOC) to the northern Gulf of Mexico. Data from the lower Atchafalaya and Mississippi rivers showed that the DOC flux to the northern Gulf of Mexico during this flood was significantly higher than in previous years. We also show that consumption of radiocarbon-modern TDOC by bacteria in floodwaters in the lower Atchafalaya River and along the adjacent shelf contributed to northern Gulf shelf waters changing from a net sink to a net source of CO2 to the atmosphere in June and August 2011. This work shows that enhanced flooding, which may or may not be caused by climate change, can result in rapid losses of stored carbon in soils to the atmosphere via processes in aquatic ecosystems.
","language":"English","publisher":"AGU","doi":"10.1029/2012GL054145","usgsCitation":"Bianchi, T.S., Garcia-Tigreros, F., Yvon-Lewis, S.A., Shields, M., Mills, H.J., Butman, D., Osburn, C., Raymond, P.A., Shank, G.C., DiMarco, S.F., Walker, N., Kiel Reese, B., Mullins-Perry, R., Quigg, A., Aiken, G.R., and Grossman, E.L., 2013, Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event: Geophysical Research Letters, v. 40, no. 1, p. 116-122, https://doi.org/10.1029/2012GL054145.","productDescription":"7 p.","startPage":"116","endPage":"122","ipdsId":"IP-040374","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-08","publicationStatus":"PW","scienceBaseUri":"596dcca5e4b0d1f9f0627574","contributors":{"authors":[{"text":"Bianchi, Thomas S.","contributorId":150225,"corporation":false,"usgs":false,"family":"Bianchi","given":"Thomas","email":"","middleInitial":"S.","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":705234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":705235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yvon-Lewis, Shari A.","contributorId":119588,"corporation":false,"usgs":true,"family":"Yvon-Lewis","given":"Shari","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shields, Michael","contributorId":150228,"corporation":false,"usgs":false,"family":"Shields","given":"Michael","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":705237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mills, Heath J.","contributorId":194745,"corporation":false,"usgs":false,"family":"Mills","given":"Heath","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":705238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osburn, Christopher","contributorId":194746,"corporation":false,"usgs":false,"family":"Osburn","given":"Christopher","affiliations":[],"preferred":false,"id":705240,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":705241,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shank, G. Christopher","contributorId":194747,"corporation":false,"usgs":false,"family":"Shank","given":"G.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":705242,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DiMarco, Steven F.","contributorId":15435,"corporation":false,"usgs":true,"family":"DiMarco","given":"Steven","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":705243,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walker, Nan","contributorId":194748,"corporation":false,"usgs":false,"family":"Walker","given":"Nan","email":"","affiliations":[],"preferred":false,"id":705244,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kiel Reese, Brandi","contributorId":194749,"corporation":false,"usgs":false,"family":"Kiel Reese","given":"Brandi","email":"","affiliations":[],"preferred":false,"id":705245,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mullins-Perry, Ruth","contributorId":194750,"corporation":false,"usgs":false,"family":"Mullins-Perry","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":705246,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Quigg, Antonietta","contributorId":194751,"corporation":false,"usgs":false,"family":"Quigg","given":"Antonietta","email":"","affiliations":[],"preferred":false,"id":705247,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705248,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Grossman, Ethan L.","contributorId":189344,"corporation":false,"usgs":false,"family":"Grossman","given":"Ethan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705249,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70189203,"text":"70189203 - 2013 - Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system","interactions":[],"lastModifiedDate":"2018-09-18T10:41:28","indexId":"70189203","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3069,"text":"Physics and Chemistry of the Earth, Parts A/B/C","active":true,"publicationSubtype":{"id":10}},"title":"Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system","docAbstract":"This work demonstrates how available knowledge can be used to build more transparent and refutable computer models of groundwater systems. The Death Valley regional groundwater flow system, which surrounds a proposed site for a high level nuclear waste repository of the United States of America, and the Nevada National Security Site (NNSS), where nuclear weapons were tested, is used to explore model adequacy, identify parameters important to (and informed by) observations, and identify existing old and potential new observations important to predictions. Model development is pursued using a set of fundamental questions addressed with carefully designed metrics. Critical methods include using a hydrogeologic model, managing model nonlinearity by designing models that are robust while maintaining realism, using error-based weighting to combine disparate types of data, and identifying important and unimportant parameters and observations and optimizing parameter values with computationally frugal schemes. The frugal schemes employed in this study require relatively few (10–1000 s), parallelizable model runs. This is beneficial because models able to approximate the complex site geology defensibly tend to have high computational cost. The issue of model defensibility is particularly important given the contentious political issues involved.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.pce.2013.03.006","usgsCitation":"Hill, M.C., Faunt, C., Belcher, W., Sweetkind, D.S., Tiedeman, C.R., and Kavetski, D., 2013, Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system: Physics and Chemistry of the Earth, Parts A/B/C, v. 64, p. 105-116, https://doi.org/10.1016/j.pce.2013.03.006.","productDescription":"12 p.","startPage":"105","endPage":"116","ipdsId":"IP-041690","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Death Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 35.5\n ],\n [\n -115,\n 35.5\n ],\n [\n -115,\n 38\n ],\n [\n -118,\n 38\n ],\n [\n -118,\n 35.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab8e4b0d1f9f056a7ae","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":703473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belcher, Wayne wbelcher@usgs.gov","contributorId":1759,"corporation":false,"usgs":true,"family":"Belcher","given":"Wayne","email":"wbelcher@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":703476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":703474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":703508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kavetski, Dmitri","contributorId":194182,"corporation":false,"usgs":false,"family":"Kavetski","given":"Dmitri","email":"","affiliations":[],"preferred":false,"id":703477,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70187338,"text":"70187338 - 2013 - Coasts: Complex changes affecting the Northwest's diverse shorelines","interactions":[],"lastModifiedDate":"2017-05-01T15:21:32","indexId":"70187338","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coasts: Complex changes affecting the Northwest's diverse shorelines","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate change in the Northwest: Implications for our landscapes, waters, and communities","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Island Press","doi":"10.5822/978-1-61091-512-0","usgsCitation":"Reeder, W.S., Ruggiero, Shafer, S.L., Snover, A.K., Houston, L.L., Glick, P., Newton, J., and Capalbo, S.M., 2013, Coasts: Complex changes affecting the Northwest's diverse shorelines, chap. of Climate change in the Northwest: Implications for our landscapes, waters, and communities, p. 67-109, https://doi.org/10.5822/978-1-61091-512-0.","productDescription":"43 p.","startPage":"67","endPage":"109","ipdsId":"IP-041974","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":474148,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5822/978-1-61091-512-0","text":"External Repository"},{"id":340700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084935e4b0fc4e448ffd9a","contributors":{"authors":[{"text":"Reeder, W. Spencer","contributorId":83028,"corporation":false,"usgs":true,"family":"Reeder","given":"W.","email":"","middleInitial":"Spencer","affiliations":[],"preferred":false,"id":693815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":121401,"corporation":false,"usgs":true,"family":"Ruggiero","suffix":"Peter","affiliations":[],"preferred":false,"id":693816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafer, Sarah L. 0000-0003-3739-2637 sshafer@usgs.gov","orcid":"https://orcid.org/0000-0003-3739-2637","contributorId":1684,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah","email":"sshafer@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snover, Amy K.","contributorId":11511,"corporation":false,"usgs":true,"family":"Snover","given":"Amy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houston, Laurie L.","contributorId":11935,"corporation":false,"usgs":true,"family":"Houston","given":"Laurie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glick, Patty","contributorId":47283,"corporation":false,"usgs":true,"family":"Glick","given":"Patty","affiliations":[],"preferred":false,"id":693820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newton, Jan","contributorId":177863,"corporation":false,"usgs":false,"family":"Newton","given":"Jan","email":"","affiliations":[],"preferred":false,"id":693821,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Capalbo, Susan M.","contributorId":48864,"corporation":false,"usgs":true,"family":"Capalbo","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693822,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189522,"text":"70189522 - 2013 - Report A: Fish distribution and population dynamics in Rock Creek, Klickitat County, Washington","interactions":[],"lastModifiedDate":"2017-07-17T11:38:44","indexId":"70189522","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Report A: Fish distribution and population dynamics in Rock Creek, Klickitat County, Washington","docAbstract":"The U.S. Geological Survey collaborated with the Yakama Nation starting in fall of 2009 to study the fish populations in Rock Creek, a Washington State tributary of the Columbia River 21 kilometers upstream of John Day Dam. Prior to this study, very little was known about the ESA-listed (threatened) Mid-Columbia River steelhead (Oncorhynchus mykiss) population in this arid watershed with intermittent stream flow. The objectives of the study were to quantify fish habitat, document fish distribution, abundance, and movement, and identify areas of high salmonid productivity. To accomplish these objectives, we electrofished in the spring and fall, documenting the distribution and relative abundance of all fish species to evaluate the influence of biotic factors on salmonid productivity and survival. We surveyed the distribution of perennial pools and established a network of automated temperature recording devices from river kilometer (rkm) 2 to 23 in Rock Creek and rkm 0 to 8 in Squaw Creek, a major tributary entering Rock Creek at rkm 13, to better understand the abiotic factors influencing the salmonid populations. Salmonid abundance estimates were conducted using a mark-recapture method in a systematic subsample of the perennial pools. The proportion and timing of salmonids migrating from these pools were assessed by building, installing, and operating two passive integrated transponder (PIT) tag interrogation systems at rkm 5 and at the confluence with Squaw Creek (rkm 13). From fall 2009 to fall 2012, we PIT-tagged 3,088 O. mykiss and 151 coho salmon (O. kisutch) during electrofishing efforts. In the lowest flow periods of 2010 to 2012, we found that an average of 36% of the surveyed streambed length was dry, and 17% remained as perennial pools. The maximum temperature recorded in those pools was 24.4°C, but most pools had a maximum temperature that was less than 21°C. O. mykiss were present in most pools, and non-native fish species, such as smallmouth bass (Micropterus dolomieu), were typically found downstream of rkm 5. Coho salmon were present in nearly every pool that was sampled in 2011, but were rare in 2009, 2010, and 2012. About 27% of the PIT-tagged O. mykiss and 38% of the PIT-tagged coho were detected outmigrating to the Columbia River. Of those fish, 92% (n=695) were detected leaving Rock Creek as smolts in April and May. As of November 2013, 9 O. mykiss and 4 coho that we tagged in Rock Creek as juveniles have returned as adults to Bonneville Dam. Also, an additional 34 PIT-tagged adult steelhead, and 6 PIT-tagged coho that were tagged by other groups have been detected in Rock Creek, of which, 22 were of known origin (tagged as juveniles). Of these, 85% were tagged or released in the Snake River. The PIT-tag interrogation systems will be operated for several more years to allow time for the fish tagged as juveniles to return as adults and complete their life cycles. The Yakama Nation will use the information collected from this study to prioritize and gauge the effectiveness of ongoing and future restoration actions.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Rock Creek fish and habitat assessment for prioritization of restoration and protection actions","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Allen, B., Munz, C.S., and Harvey, E., 2013, Report A: Fish distribution and population dynamics in Rock Creek, Klickitat County, Washington, 78 p.","productDescription":"78 p.","startPage":"A1","endPage":"A78","ipdsId":"IP-053715","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":343942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343867,"type":{"id":15,"text":"Index 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Since 1900 the recession has varied from a 24 % loss in area (Mt. Rainier, Washington) to a 66 % loss in the Lewis Range of Montana. The rates of retreat are generally similar with a rapid loss in the early decades of the 20th century, slowing in the 1950s–1970s, and a resumption of rapid retreat starting in the 1990s. Decadal estimates of changes in glacier area for a subset of 31 glaciers from 1900 to 2000 are used to test a snow water equivalent model that is subsequently employed to examine the effects of temperature and precipitation variability on annual glacier area changes for these glaciers. Model results indicate that both winter precipitation and winter temperature have been important climatic factors affecting the variability of glacier variability during the 20th Century. Most of the glaciers analyzed appear to be more sensitive to temperature variability than to precipitation variability. However, precipitation variability is important, especially for high elevation glaciers. Additionally, glaciers with areas greater than 1 km2 are highly sensitive to variability in temperature.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-012-0502-9","usgsCitation":"McCabe, G., and Fountain, A.G., 2013, Glacier variability in the conterminous United States during the twentieth century: Climate Change, v. 116, no. 3-4, p. 565-577, https://doi.org/10.1007/s10584-012-0502-9.","productDescription":"13 p.","startPage":"565","endPage":"577","ipdsId":"IP-031818","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":345040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"116","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-13","publicationStatus":"PW","scienceBaseUri":"599e944ce4b04935557fe9ed","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":706799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fountain, Andrew G.","contributorId":10410,"corporation":false,"usgs":false,"family":"Fountain","given":"Andrew","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":706800,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70187685,"text":"70187685 - 2013 - Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","interactions":[],"lastModifiedDate":"2017-05-15T14:42:57","indexId":"70187685","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","docAbstract":"In recent years, there has been a significant increase in the use of remotely sensed data to address global issues. With the open data policy, the data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Enhanced Thematic Mapper Plus (ETM+) sensors have become a critical component of numerous applications. These two sensors have been operational for more than a decade, providing a rich archive of multispectral imagery for analysis of mutitemporal remote sensing data. This paper focuses on evaluating the radiometric calibration agreement between MODIS and ETM+ using the near-simultaneous and cloud-free image pairs over an African pseudo-invariant calibration site, Libya 4. To account for the combined uncertainties in the top-of-atmosphere (TOA) reflectance due to surface and atmospheric bidirectional reflectance distribution function (BRDF), a semiempirical BRDF model was adopted to normalize the TOA reflectance to the same illumination and viewing geometry. In addition, the spectra from the Earth Observing-1 (EO-1) Hyperion were used to compute spectral corrections between the corresponding MODIS and ETM+ spectral bands. As EO-1 Hyperion scenes were not available for all MODIS and ETM+ data pairs, MODerate resolution atmospheric TRANsmission (MODTRAN) 5.0 simulations were also used to adjust for differences due to the presence or lack of absorption features in some of the bands. A MODIS split-window algorithm provides the atmospheric water vapor column abundance during the overpasses for the MODTRAN simulations. Additionally, the column atmospheric water vapor content during the overpass was retrieved using the MODIS precipitable water vapor product. After performing these adjustments, the radiometric cross-calibration of the two sensors was consistent to within 7%. Some drifts in the response of the bands are evident, with MODIS band 3 being the largest of about 6% over 10 years, a change that will be corrected in Collection 6 MODIS processing.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2012.2235448","usgsCitation":"Angal, A., Xiong, X., Wu, A., Chander, G., and Choi, T., 2013, Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 4, p. 1870-1882, https://doi.org/10.1109/TGRS.2012.2235448.","productDescription":"13 p.","startPage":"1870","endPage":"1882","ipdsId":"IP-043734","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474036,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20140013366","text":"External Repository"},{"id":341240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5916c9b5e4b044b359e486a0","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":695066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":695067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":695068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":695065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":695069,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187702,"text":"70187702 - 2013 - Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States","interactions":[],"lastModifiedDate":"2017-05-31T16:13:52","indexId":"70187702","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States","docAbstract":"The physical surface of the Earth is in constant change due to climate forcing and human activities. In the Midwestern United States, urban area, farmland, and dedicated energy crop (e.g., switchgrass) cultivation are predicted to expand in the coming decades, which will lead to changes in hydrological processes. This study is designed to (1) project the land use and land cover (LULC) by mid-century using the FORecasting SCEnarios of future land-use (FORE-SCE) model under the A1B greenhouse gas emission scenario (future condition) and (2) assess its potential impacts on the water cycle and water quality against the 2001 baseline condition in the Cedar River Basin using the physically based soil and water assessment tool (SWAT). We compared the baseline LULC (National Land Cover data 2001) and 2050 projection, indicating substantial expansions of urban area and pastureland (including the cultivation of bioenergy crops) and a decrease in rangeland. We then used the above two LULC maps as the input data to drive the SWAT model, keeping other input data (e.g., climate) unchanged to isolate the LULC change impacts. The modeling results indicate that quick-response surface runoff would increase significantly (about 10.5%) due to the projected urban expansion (i.e., increase in impervious areas), and the baseflow would decrease substantially (about 7.3%) because of the reduced infiltration. Although the net effect may cause an increase in water yield, the increased variability may impede its use for public supply. Additionally, the cultivation of bioenergy crops such as switchgrass in the newly added pasture lands may further reduce the soil water content and lead to an increase in nitrogen loading (about 2.5% increase) due to intensified fertilizer application. These study results will be informative to decision makers for sustainable water resource management when facing LULC change and an increasing demand for biofuel production in this area.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/8/2/024025","usgsCitation":"Wu, Y., Liu, S., Sohl, T.L., and Young, C., 2013, Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States: Environmental Research Letters, v. 8, p. 1-13, https://doi.org/10.1088/1748-9326/8/2/024025.","productDescription":"Article 024025; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-045247","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/2/024025","text":"Publisher Index Page"},{"id":341313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-20","publicationStatus":"PW","scienceBaseUri":"591abe3ae4b0a7fdb43c8c05","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":192026,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[],"preferred":false,"id":695174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189675,"text":"70189675 - 2013 - Persistence and potential effects of complex organic contaminant mixtures in wastewater-impacted streams","interactions":[],"lastModifiedDate":"2021-05-28T14:54:00.795953","indexId":"70189675","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Persistence and potential effects of complex organic contaminant mixtures in wastewater-impacted streams","docAbstract":"Natural and synthetic organic contaminants in municipal wastewater treatment plant (WWTP) effluents can cause ecosystem impacts, raising concerns about their persistence in receiving streams. In this study, Lagrangian sampling, in which the same approximate parcel of water is tracked as it moves downstream, was conducted at Boulder Creek, Colorado and Fourmile Creek, Iowa to determine in-stream transport and attenuation of organic contaminants discharged from two secondary WWTPs. Similar stream reaches were evaluated, and samples were collected at multiple sites during summer and spring hydrologic conditions. Travel times to the most downstream (7.4 km) site in Boulder Creek were 6.2 h during the summer and 9.3 h during the spring, and to the Fourmile Creek 8.4 km downstream site times were 18 and 8.8 h, respectively. Discharge was measured at each site, and integrated composite samples were collected and analyzed for >200 organic contaminants including metal complexing agents, nonionic surfactant degradates, personal care products, pharmaceuticals, steroidal hormones, and pesticides. The highest concentration (>100 μg L–1) compounds detected in both WWTP effluents were ethylenediaminetetraacetic acid and 4-nonylphenolethoxycarboxylate oligomers, both of which persisted for at least 7 km downstream from the WWTPs. Concentrations of pharmaceuticals were lower (<1 μg L–1), and several compounds, including carbamazepine and sulfamethoxazole, were detected throughout the study reaches. After accounting for in-stream dilution, a complex mixture of contaminants showed little attenuation and was persistent in the receiving streams at concentrations with potential ecosystem implications.
","language":"English","publisher":"ACS","doi":"10.1021/es303720g","usgsCitation":"Barber, L.B., Keefe, S.H., Brown, G.K., Furlong, E.T., Gray, J.L., Kolpin, D.W., Meyer, M.T., Sandstrom, M.W., and Zaugg, S.D., 2013, Persistence and potential effects of complex organic contaminant mixtures in wastewater-impacted streams: Environmental Science & Technology, v. 47, no. 5, p. 2177-2188, https://doi.org/10.1021/es303720g.","productDescription":"12 p.","startPage":"2177","endPage":"2188","ipdsId":"IP-042619","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Iowa","otherGeospatial":"Boulder Creek, Fourmile Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.625,\n 41.75\n ],\n [\n -93.5,\n 41.75\n ],\n [\n -93.5,\n 41.625\n ],\n [\n -93.625,\n 41.625\n ],\n [\n -93.625,\n 41.75\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.191667,\n 40.09166\n ],\n [\n -105.075,\n 40.09166\n ],\n [\n -105.075,\n 40.01667\n ],\n [\n -105.191667,\n 40.01667\n ],\n [\n -105.191667,\n 40.09166\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-02-11","publicationStatus":"PW","scienceBaseUri":"59706fbde4b0d1f9f065a918","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - 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Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":705736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705737,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":705738,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":705739,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":705740,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70189191,"text":"70189191 - 2013 - Transport and fate of microbial pathogens in agricultural settings","interactions":[],"lastModifiedDate":"2017-07-06T13:32:37","indexId":"70189191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1345,"text":"Critical Reviews in Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Transport and fate of microbial pathogens in agricultural settings","docAbstract":"An understanding of the transport and survival of microbial pathogens (pathogens hereafter) in agricultural settings is needed to assess the risk of pathogen contamination to water and food resources, and to develop control strategies and treatment options. However, many knowledge gaps still remain in predicting the fate and transport of pathogens in runoff water, and then through the shallow vadose zone and groundwater. A number of transport pathways, processes, factors, and mathematical models often are needed to describe pathogen fate in agricultural settings. The level of complexity is dramatically enhanced by soil heterogeneity, as well as by temporal variability in temperature, water inputs, and pathogen sources. There is substantial variability in pathogen migration pathways, leading to changes in the dominant processes that control pathogen transport over different spatial and temporal scales. For example, intense rainfall events can generate runoff and preferential flow that can rapidly transport pathogens. Pathogens that survive for extended periods of time have a greatly enhanced probability of remaining viable when subjected to such rapid-transport events. Conversely, in dry seasons, pathogen transport depends more strongly on retention at diverse environmental surfaces controlled by a multitude of coupled physical, chemical, and microbiological factors. These interactions are incompletely characterized, leading to a lack of consensus on the proper mathematical framework to model pathogen transport even at the column scale. In addition, little is known about how to quantify transport and survival parameters at the scale of agricultural fields or watersheds. This review summarizes current conceptual and quantitative models for pathogen transport and fate in agricultural settings over a wide range of spatial and temporal scales. The authors also discuss the benefits that can be realized by improved modeling, and potential treatments to mitigate the risk of waterborne disease transmission.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10643389.2012.710449","usgsCitation":"Bradford, S.A., Morales, V.L., Zhang, W., Harvey, R.W., Packman, A.I., Mohanram, A., and Welty, C., 2013, Transport and fate of microbial pathogens in agricultural settings: Critical Reviews in Environmental Science and Technology, v. 43, no. 8, p. 775-893, https://doi.org/10.1080/10643389.2012.710449.","productDescription":"119 p.","startPage":"775","endPage":"893","ipdsId":"IP-035837","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c44e4b0d1f9f057e370","contributors":{"authors":[{"text":"Bradford, Scott A.","contributorId":194257,"corporation":false,"usgs":false,"family":"Bradford","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morales, Veronica L.","contributorId":168667,"corporation":false,"usgs":false,"family":"Morales","given":"Veronica","email":"","middleInitial":"L.","affiliations":[{"id":25347,"text":"Abertay University, Dundee, UK","active":true,"usgs":false}],"preferred":false,"id":703736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Wei","contributorId":168668,"corporation":false,"usgs":false,"family":"Zhang","given":"Wei","email":"","affiliations":[{"id":25348,"text":"Michigan State University, East Lansing","active":true,"usgs":false}],"preferred":false,"id":703737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packman, Aaron I.","contributorId":124517,"corporation":false,"usgs":false,"family":"Packman","given":"Aaron","email":"","middleInitial":"I.","affiliations":[{"id":5041,"text":"Department of Civil and Environmental Engineering, Northwestern University, Evanston, Illinois, USA","active":true,"usgs":false}],"preferred":false,"id":703738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mohanram, Arvind","contributorId":194201,"corporation":false,"usgs":false,"family":"Mohanram","given":"Arvind","email":"","affiliations":[],"preferred":false,"id":703739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Welty, Claire","contributorId":39416,"corporation":false,"usgs":true,"family":"Welty","given":"Claire","email":"","affiliations":[],"preferred":false,"id":703740,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188071,"text":"70188071 - 2013 - Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data","interactions":[],"lastModifiedDate":"2017-05-30T12:53:54","indexId":"70188071","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data","docAbstract":"This study provides a baseline quality check on provisional Landsat Surface Reflectance (SR) products as generated by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center using Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software. Characterization of the Landsat SR products leveraged comparisons between aerosol optical thickness derived from LEDAPS and measured by Aerosol Robotic Network (AERONET), as well as reflectance correlations with field spectrometer and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Results consistently indicated similarity between LEDAPS and alternative data products in longer wavelengths over vegetated areas with no adjacent water, while less reliable performance was observed in shorter wavelengths and sparsely vegetated areas. This study demonstrates the strengths and weaknesses of the atmospheric correction methodology used in LEDAPS, confirming its successful implementation to generate Landsat SR products.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.04.007","usgsCitation":"Maiersperger, T., Scaramuzza, P., Leigh, L., Shrestha, S., Gallo, K., Jenkerson, C.B., and Dwyer, J.L., 2013, Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data: Remote Sensing of Environment, v. 136, p. 1-13, https://doi.org/10.1016/j.rse.2013.04.007.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-039343","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"136","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c9e4b092b266f10dcd","contributors":{"authors":[{"text":"Maiersperger, Tom 0000-0003-3132-6997 tmaiersperger@usgs.gov","orcid":"https://orcid.org/0000-0003-3132-6997","contributorId":3693,"corporation":false,"usgs":true,"family":"Maiersperger","given":"Tom","email":"tmaiersperger@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leigh, Larry","contributorId":192383,"corporation":false,"usgs":false,"family":"Leigh","given":"Larry","email":"","affiliations":[],"preferred":false,"id":696394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, S.","contributorId":182437,"corporation":false,"usgs":false,"family":"Shrestha","given":"S.","email":"","affiliations":[],"preferred":false,"id":696395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallo, Kevin 0000-0001-9162-5011 kgallo@usgs.gov","orcid":"https://orcid.org/0000-0001-9162-5011","contributorId":192334,"corporation":false,"usgs":true,"family":"Gallo","given":"Kevin","email":"kgallo@usgs.gov","affiliations":[],"preferred":true,"id":696391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696389,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190318,"text":"70190318 - 2013 - Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications","interactions":[],"lastModifiedDate":"2017-08-27T12:37:54","indexId":"70190318","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications","docAbstract":"Georges Bank is a large, shallow feature separating the Gulf of Maine from the Atlantic Ocean. Previous studies demonstrated a strong tidal-mixing front during the warm season on the northern bank margin between thermally stratified water in the Gulf of Maine and mixed water on the bank. Tides transport warm water off the bank during flood tide and cool gulf water onto the bank during ebb tide. During 10 days in August 2009, we mapped frontal temperatures in five study areas along ∼100 km of the bank margin. The seabed “frontal zone”, where temperature changed with frontal movment, experienced semidiurnal temperature maxima and minima. The tidal excursion of the frontal boundary between stratified and mixed water ranged 6 to 10 km. This “frontal boundary zone” was narrower than the frontal zone. Along transects perpendicular to the bank margin, seabed temperature change at individual sites ranged from 7.0°C in the frontal zone to 0.0°C in mixed bank water. At time series in frontal zone stations, changes during tidal cycles ranged from 1.2 to 6.1°C. The greatest rate of change (-2.48°C hr-1) occurred at mid-ebb. Geographic plots of seabed temperature change allowed the mapping of up to 8 subareas in each study area. The magnitude of temperature change in a subarea depended on its location in the frontal zone. Frontal movement had the greatest effect on seabed temperature in the 40 to 80 m depth interval. Subareas experiencing maximum temperature change in the frontal zone were not in the frontal boundary zone, but rather several km gulfward (off-bank) of the frontal boundary zone. These results provide a new ecological framework for examining the effect of tidally-driven temperature variability on the distribution, food resources, and reproductive success of benthic invertebrate and demersal fish species living in tidal front habitats.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0055273","usgsCitation":"Guida, V.G., Valentine, P.C., and Gallea, L.B., 2013, Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications: PLoS ONE, v. 8, no. 2, Article e55273; 21 p., https://doi.org/10.1371/journal.pone.0055273.","productDescription":"Article e55273; 21 p.","ipdsId":"IP-027271","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488706,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0055273","text":"Publisher Index Page"},{"id":345182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Georges Bank","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.3,\n 41.89\n ],\n [\n -67,\n 41.89\n ],\n [\n -67,\n 42.16667\n ],\n [\n -67.3,\n 42.16667\n ],\n [\n -67.3,\n 41.89\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.33333,\n 42.13333\n ],\n [\n -67.43333,\n 42.10833\n ],\n [\n -67.3,\n 41.85833\n ],\n [\n -67.2,\n 41.88333\n ],\n [\n -67.33333,\n 42.13333\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.51667,\n 42.08333\n ],\n [\n -67.63333,\n 42.04167\n ],\n [\n -67.45833,\n 41.764\n ],\n [\n -67.35,\n 41.8\n ],\n [\n -67.51667,\n 42.08333\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.7,\n 42.04167\n ],\n [\n -67.9,\n 41.95\n ],\n [\n -67.72,\n 41.74\n ],\n [\n -67.508,\n 41.83\n ],\n [\n -67.7,\n 42.04167\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.91667,\n 41.85\n ],\n [\n -68.13333,\n 41.8\n ],\n [\n -68.05,\n 41.63333\n ],\n [\n -67.83333,\n 41.68333\n ],\n [\n -67.91667,\n 41.85\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"59a3da31e4b077f005673225","contributors":{"authors":[{"text":"Guida, Vincent G.","contributorId":60975,"corporation":false,"usgs":false,"family":"Guida","given":"Vincent","email":"","middleInitial":"G.","affiliations":[{"id":13694,"text":"NOAA-NMFS","active":true,"usgs":false}],"preferred":false,"id":708570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentine, Page C. 0000-0002-0485-6266 pvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-6266","contributorId":1947,"corporation":false,"usgs":true,"family":"Valentine","given":"Page","email":"pvalentine@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallea, Leslie B.","contributorId":24302,"corporation":false,"usgs":true,"family":"Gallea","given":"Leslie","email":"","middleInitial":"B.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":708572,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188073,"text":"70188073 - 2013 - Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA","interactions":[],"lastModifiedDate":"2017-05-30T12:51:09","indexId":"70188073","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA","docAbstract":"Hydrological processes of the wetland complex in the Prairie Pothole Region (PPR) are difficult to model, partly due to a lack of wetland morphology data. We used Light Detection And Ranging (LiDAR) data sets to derive wetland features; we then modelled rainfall, snowfall, snowmelt, runoff, evaporation, the “fill-and-spill” mechanism, shallow groundwater loss, and the effect of wet and dry conditions. For large wetlands with a volume greater than thousands of cubic metres (e.g. about 3000 m3), the modelled water volume agreed fairly well with observations; however, it did not succeed for small wetlands (e.g. volume less than 450 m3). Despite the failure for small wetlands, the modelled water area of the wetland complex coincided well with interpretation of aerial photographs, showing a linear regression with R2 of around 0.80 and a mean average error of around 0.55 km2. The next step is to improve the water budget modelling for small wetlands.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2013.831419","usgsCitation":"Huang, S., Young, C., Abdul-Aziz, O.I., Dahal, D., Feng, M., and Liu, S., 2013, Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA: Hydrological Sciences Journal, v. 58, no. 7, p. 1434-1444, https://doi.org/10.1080/02626667.2013.831419.","productDescription":"11 p.","startPage":"1434","endPage":"1444","ipdsId":"IP-043188","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2013.831419","text":"Publisher Index Page"},{"id":341846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","volume":"58","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c9e4b092b266f10dc8","contributors":{"authors":[{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":696403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":191382,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abdul-Aziz, Omar I.","contributorId":192386,"corporation":false,"usgs":false,"family":"Abdul-Aziz","given":"Omar","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":696402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feng, Min","contributorId":75370,"corporation":false,"usgs":true,"family":"Feng","given":"Min","email":"","affiliations":[],"preferred":false,"id":696406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70182180,"text":"70182180 - 2013 - Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire","interactions":[],"lastModifiedDate":"2017-02-20T11:40:17","indexId":"70182180","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire","docAbstract":"Wildfire can change how soils take in, store, and release water. This study examined differences in how burned and unburned plots on north versus south-facing slope aspects respond to rainfall. The largest wildfire impacts were litter/duff combustion on burned north-facing slopes versus soil-water retention reduction on burned south-facing slopes.
Wildfire is one of the most significant disturbances in mountainous landscapes, affecting water supply and ecologic function and setting the stage for natural hazards such as flash floods. The impacts of wildfire can affect the entire hydrologic cycle. Measurements of soil-water content and matric potential in the near surface (top 30 cm) captured the hydrologic state in both burned and unburned hillslopes during the first spring through fall period (1 June–1 Oct. 2011) after the 2010 Fourmile Canyon Fire near Boulder, CO. This time span included different hydrologic periods characterized by cyclonic frontal storms (low-intensity, long duration), convective storms (high-intensity, short duration), and dry periods. In mountainous environments, aspect can also control hydrologic states, so north- vs. south-facing slopes were compared. Wildfire tended to homogenize soil-water contents across aspects and with depth in the soil, yet it also may have introduced an aspect control on matric potential that was not observed in unburned soils. Post-wildfire changes in hydrologic state were observed in south-facing soils, probably reflecting decreased soil-water retention after wildfire. North-facing soils were impacted the most, in terms of hydrologic state, by the loss of water storage in the combusted litter–duff layer and forest canopy, which had provided a large “hydrologic buffering” capacity when unburned. Unsaturated zone measurements showed increased variability in hydrologic states and more rapid state transitions in wildfire-impacted soils. A simple, qualitative analysis suggested that the range of unsaturated-zone processes along the gravity–capillarity–adsorption continuum was expanded by wildfire for a given soil. The small number of experimental plots in this study suggests that further work is needed before these conclusions can be generalized to other geographic areas.
","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/vzj2012.0089","usgsCitation":"Ebel, B.A., 2013, Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire: Vadose Zone Journal, v. 12, no. 1, https://doi.org/10.2136/vzj2012.0089.","ipdsId":"IP-038010","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-04","publicationStatus":"PW","scienceBaseUri":"58ac0e31e4b0ce4410e7d60a","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669908,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70006283,"text":"70006283 - 2013 - Tamarix, hydrology and fluvial geomorphology","interactions":[],"lastModifiedDate":"2022-12-20T15:02:14.764881","indexId":"70006283","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","displayTitle":"Tamarix, hydrology and fluvial geomorphology","title":"Tamarix, hydrology and fluvial geomorphology","docAbstract":"This chapter explores the impact of hydrology and fluvial geomorphology on the distribution and abundance of Tamarix as well as the reciprocal effects of Tamarix on hydrologic and geomorphic conditions. It examines whether flow-regime alteration favors Tamarix establishment over native species, and how Tamarix stands modify processes involved in the narrowing of river channels and the formation of floodplains. It begins with an overview of the basic geomorphic and hydrologic character of rivers in the western United States before analyzing how this setting has contributed to the regional success of Tamarix. It then considers the influence of Tamarix on the hydrogeomorphic form and function of rivers and concludes by discussing how a changing climate, vegetation management, and continued water-resource development affect the future role of Tamarix in these ecosystems.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tamarix: A case study of ecological change in the American West","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:osobl/9780199898206.003.0007","usgsCitation":"Auerbach, D., Merritt, D.M., and Shafroth, P.B., 2013, Tamarix, hydrology and fluvial geomorphology, chap. 7 of Tamarix: A case study of ecological change in the American West, p. 99-122, https://doi.org/10.1093/acprof:osobl/9780199898206.003.0007.","productDescription":"24 p.","startPage":"99","endPage":"122","ipdsId":"IP-034390","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":331328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583ff351e4b04fc80e43726e","contributors":{"editors":[{"text":"Sher, Anna A","contributorId":146314,"corporation":false,"usgs":false,"family":"Sher","given":"Anna","email":"","middleInitial":"A","affiliations":[{"id":12651,"text":"University of Denver","active":true,"usgs":false}],"preferred":false,"id":654507,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Quigley, Martin F.","contributorId":112538,"corporation":false,"usgs":true,"family":"Quigley","given":"Martin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":654508,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Auerbach, Daniel A.","contributorId":147716,"corporation":false,"usgs":false,"family":"Auerbach","given":"Daniel A.","affiliations":[],"preferred":false,"id":654504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merritt, David M.","contributorId":95976,"corporation":false,"usgs":true,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":654505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":654506,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156889,"text":"70156889 - 2013 - Water resources in the desert southwest","interactions":[],"lastModifiedDate":"2020-09-24T17:56:19.826394","indexId":"70156889","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Water resources in the desert southwest","docAbstract":"As the old saying goes, there is nothing more precious than water in the desert. The Ancestral Puebloans, Hohokam, and other pre-Columbian cultures knew this and built their civilizations near guaranteed water supplies. When the Spaniards arrived in present-day Arizona, they found that the Tohono O’odham and Piman cultures had settled in prime riverine sites, turning perennial flow through lush riparian ecosystems into irrigation water for productive agriculture. The Spaniards followed suit, building their missions along perennial reaches of the Santa Cruz River, including at one place aptly named “Punta de Agua” (Point of Water) south of Tucson. When the Mormons spread southward from Utah in the 1870s, their destinations were riverside settings on the Little Colorado, Salt, and San Pedro Rivers (Figure 4.1).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Design with the desert: Conservation and sustainable development","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, LA","doi":"10.1201/b14054-5","usgsCitation":"Webb, R., and Leake, S.A., 2013, Water resources in the desert southwest, chap. 4 of Design with the desert: Conservation and sustainable development, p. 73-89, https://doi.org/10.1201/b14054-5.","productDescription":"17 p.","startPage":"73","endPage":"89","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":147,"text":"Branch of Regional Research-Water Resources","active":false,"usgs":true}],"links":[{"id":474051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1201/b14054-5","text":"Publisher Index Page"},{"id":307777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.24609374999999,\n 32.565333160841035\n ],\n [\n -114.93896484374999,\n 32.58384932565662\n ],\n [\n -110.74218749999999,\n 31.39115752282472\n ],\n [\n -108.1494140625,\n 31.3348710339506\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -102.89794921875,\n 32.02670629333614\n ],\n [\n -102.919921875,\n 37.020098201368114\n ],\n [\n -101.953125,\n 37.142803443716836\n ],\n [\n -102.10693359375,\n 41.11246878918088\n ],\n [\n -111.11572265625,\n 41.04621681452063\n ],\n [\n -111.09374999999999,\n 42.01665183556825\n ],\n [\n -124.365234375,\n 42.01665183556825\n ],\n [\n -124.21142578125,\n 41.32732632036622\n ],\n [\n -124.51904296875,\n 40.38002840251183\n ],\n [\n -123.837890625,\n 39.45316112807394\n ],\n [\n -123.90380859374999,\n 38.77121637244273\n ],\n [\n -122.62939453125001,\n 37.28279464911045\n ],\n [\n -121.66259765625001,\n 35.88905007936091\n ],\n [\n -120.82763671875,\n 35.10193405724606\n ],\n [\n -120.43212890625,\n 34.30714385628804\n ],\n [\n -120.10253906249999,\n 33.742612777346885\n ],\n [\n -117.68554687499999,\n 32.47269502206151\n ],\n [\n -117.24609374999999,\n 32.565333160841035\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb71ee4b058f706e53f98","contributors":{"editors":[{"text":"Malloy, Richard","contributorId":111995,"corporation":false,"usgs":true,"family":"Malloy","given":"Richard","affiliations":[],"preferred":false,"id":570993,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Brock, John","contributorId":39011,"corporation":false,"usgs":true,"family":"Brock","given":"John","affiliations":[],"preferred":false,"id":570994,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Floyd, Anthony","contributorId":113794,"corporation":false,"usgs":true,"family":"Floyd","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":570995,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Livingston, Margaret","contributorId":112580,"corporation":false,"usgs":true,"family":"Livingston","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":570996,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":570997,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":570991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":570992,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156278,"text":"70156278 - 2013 - A river runs through it: conceptual models in fluvial geomorphology","interactions":[],"lastModifiedDate":"2015-08-18T15:20:08","indexId":"70156278","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"A river runs through it: conceptual models in fluvial geomorphology","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-374739-6.00227-X","usgsCitation":"Grant, G., O'Connor, J., and Wolman, M.G., 2013, A river runs through it: conceptual models in fluvial geomorphology, v. 9, p. 6-21, https://doi.org/10.1016/B978-0-12-374739-6.00227-X.","startPage":"6","endPage":"21","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":306889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d4572ae4b0518e3546949a","contributors":{"editors":[{"text":"Shroder, John F.","contributorId":113549,"corporation":false,"usgs":true,"family":"Shroder","given":"John F.","affiliations":[],"preferred":false,"id":568486,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":568483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138997,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":568484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolman, M. Gordon","contributorId":85163,"corporation":false,"usgs":true,"family":"Wolman","given":"M.","email":"","middleInitial":"Gordon","affiliations":[],"preferred":false,"id":568485,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178333,"text":"70178333 - 2013 - Assessing and measuring wetland hydrology","interactions":[],"lastModifiedDate":"2016-11-17T12:52:40","indexId":"70178333","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Assessing and measuring wetland hydrology","docAbstract":"Virtually all ecological processes that occur in wetlands are influenced by the water that flows to, from, and within these wetlands. This chapter provides the “how-to” information for quantifying the various source and loss terms associated with wetland hydrology. The chapter is organized from a water-budget perspective, with sections associated with each of the water-budget components that are common in most wetland settings. Methods for quantifying the water contained within the wetland are presented first, followed by discussion of each separate component. Measurement accuracy and sources of error are discussed for each of the methods presented, and a separate section discusses the cumulative error associated with determining a water budget for a wetland. Exercises and field activities will provide hands-on experience that will facilitate greater understanding of these processes.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland techniques, Volume 1 Foundations","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-007-6860-4_3","usgsCitation":"Rosenberry, D.O., and Hayashi, M., 2013, Assessing and measuring wetland hydrology, chap. of Wetland techniques, Volume 1 Foundations, p. 87-225, https://doi.org/10.1007/978-94-007-6860-4_3.","productDescription":"138 p.","startPage":"87","endPage":"225","ipdsId":"IP-042489","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":331098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-04","publicationStatus":"PW","scienceBaseUri":"582ecff0e4b04d580bd43538","contributors":{"editors":[{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":654020,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Davis, Craig A.","contributorId":171490,"corporation":false,"usgs":false,"family":"Davis","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":654021,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayashi, Masaki","contributorId":176832,"corporation":false,"usgs":false,"family":"Hayashi","given":"Masaki","affiliations":[],"preferred":false,"id":653622,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70193015,"text":"70193015 - 2013 - A critique of the use of indicator-species scores for identifying thresholds in species responses","interactions":[],"lastModifiedDate":"2017-11-21T13:56:53","indexId":"70193015","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A critique of the use of indicator-species scores for identifying thresholds in species responses","docAbstract":"Identification of ecological thresholds is important both for theoretical and applied ecology. Recently, Baker and King (2010, King and Baker 2010) proposed a method, threshold indicator analysis (TITAN), to calculate species and community thresholds based on indicator species scores adapted from Dufrêne and Legendre (1997). We tested the ability of TITAN to detect thresholds using models with (broken-stick, disjointed broken-stick, dose-response, step-function, Gaussian) and without (linear) definitive thresholds. TITAN accurately and consistently detected thresholds in step-function models, but not in models characterized by abrupt changes in response slopes or response direction. Threshold detection in TITAN was very sensitive to the distribution of 0 values, which caused TITAN to identify thresholds associated with relatively small differences in the distribution of 0 values while ignoring thresholds associated with large changes in abundance. Threshold identification and tests of statistical significance were based on the same data permutations resulting in inflated estimates of statistical significance. Application of bootstrapping to the split-point problem that underlies TITAN led to underestimates of the confidence intervals of thresholds. Bias in the derivation of the z-scores used to identify TITAN thresholds and skewedness in the distribution of data along the gradient produced TITAN thresholds that were much more similar than the actual thresholds. This tendency may account for the synchronicity of thresholds reported in TITAN analyses. The thresholds identified by TITAN represented disparate characteristics of species responses that, when coupled with the inability of TITAN to identify thresholds accurately and consistently, does not support the aggregation of individual species thresholds into a community threshold.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1899/12-056.1","usgsCitation":"Cuffney, T.F., and Qian, S.S., 2013, A critique of the use of indicator-species scores for identifying thresholds in species responses: Freshwater Science, v. 32, no. 2, p. 471-488, https://doi.org/10.1899/12-056.1.","productDescription":"18 p.","startPage":"471","endPage":"488","ipdsId":"IP-037231","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":474030,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/12-056.1","text":"External Repository"},{"id":349218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254be","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717657,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70193584,"text":"70193584 - 2013 - Convection in a volcanic conduit recorded by bubbles","interactions":[],"lastModifiedDate":"2017-11-03T18:31:15","indexId":"70193584","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Convection in a volcanic conduit recorded by bubbles","docAbstract":"Microtextures of juvenile pyroclasts from Kīlauea’s (Hawai‘i) early A.D. 2008 explosive activity record the velocity and depth of convection within the basaltic magma-filled conduit. We use X-ray microtomography (μXRT) to document the spatial distribution of bubbles. We find small bubbles (radii from 5 μm to 70 μm) in a halo surrounding larger millimeter-size bubbles. This suggests that dissolved water was enriched around the larger bubbles—the opposite of what is expected if bubbles grow as water diffuses into the bubble. Such volatile enrichment implies that the volatiles within the large bubbles were redissolving into the melt as they descended into the conduit by the downward motion of convecting magma within the lava lake. The thickness of the small bubble halo is ∼100–150 μm, consistent with water diffusing into the melt on time scales on the order of 103 s. Eruptions, triggered by rockfall, rapidly exposed this magma to lower pressures, and the haloes of melt with re-dissolved water became sufficiently supersaturated to cause nucleation of the population of smaller bubbles. The required supersaturation pressures are consistent with a depth of a few hundred meters and convection velocities of the order of 0.1 m s−1, similar to the circulation velocity observed on the surface of the Halema‘uma‘u lava lake.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G33685.1","usgsCitation":"Carey, R.J., Manga, M., Degruyter, W., Gonnermann, H.M., Swanson, D., Houghton, B.F., Orr, T.R., and Patrick, M.R., 2013, Convection in a volcanic conduit recorded by bubbles: Geology, v. 41, no. 4, p. 395-398, https://doi.org/10.1130/G33685.1.","productDescription":"4 p.","startPage":"395","endPage":"398","ipdsId":"IP-038712","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502475,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Convection_in_a_volcanic_conduit_recorded_by_bubbles/22899326","text":"External Repository"},{"id":348080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kīlauea","volume":"41","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eafe4b0531197b28000","contributors":{"authors":[{"text":"Carey, Rebecca J.","contributorId":145530,"corporation":false,"usgs":false,"family":"Carey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":719533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":84679,"corporation":false,"usgs":true,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":719534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degruyter, Wim","contributorId":145532,"corporation":false,"usgs":false,"family":"Degruyter","given":"Wim","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":719535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonnermann, Helge M.","contributorId":48465,"corporation":false,"usgs":false,"family":"Gonnermann","given":"Helge","email":"","middleInitial":"M.","affiliations":[{"id":35613,"text":"Department of Earth Science, Rice University, Houston, TX 77005","active":true,"usgs":false}],"preferred":false,"id":719536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Donald donswan@usgs.gov","contributorId":140000,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":719537,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":719538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719539,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719540,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}